Butyl rubber quality detection method and device, electronic equipment and storage medium

Abstract

The invention discloses a butyl rubber quality detection method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a butyl rubber sample to be detected; carrying out thermogravimetric analysis on the butyl rubber sample to be detected to generate a corresponding thermogravimetric curve; obtaining a butyl rubber standard thermal weight loss curve; curve analysis parameters are obtained, according to the curve analysis parameters, the thermal weight loss curve and the standard thermal weight loss curve of the butyl rubber are subjected to contrast analysis, and a quality detection result corresponding to the to-be-detected butyl rubber sample is generated. Quality detection of butyl rubber can be achieved, quality detection efficiency and accuracy are improved, quality differences of different batches of butyl rubber are independently and rapidly judged, and the method can be widely applied to the technical field of butyl rubber.

Description

Technical Field

[0001] The present application relates to the technical field of butyl rubber, and in particular to a butyl rubber quality detection method, device, electronic equipment and storage medium. Background Art

[0002] Butyl rubber is made of butyl rubber as the base material, with appropriate amount of reinforcing agent and tackifier added. This product has excellent resistance to UV aging, extremely low water vapor permeability and good bonding strength to glass and metal, and has been widely used in the inner channel sealing of insulating glass.

[0003] In the glass processing industry, there is a lack of quality inspection methods for butyl rubber, and it is difficult to make independent and quick judgments on the quality differences between different batches of butyl rubber. If the quality of butyl rubber is inspected manually, the accuracy and efficiency of quality inspection will be greatly reduced. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to propose a butyl rubber quality detection method, device, electronic equipment and storage medium, which can realize the quality detection of butyl rubber and improve the quality detection efficiency and accuracy.

[0005] On the one hand, the embodiment of the present application provides a butyl rubber quality detection method, the method comprising the following steps:

[0006] Obtain a butyl rubber sample to be tested;

[0007] Performing a thermogravimetric analysis on the butyl rubber sample to be tested to generate a corresponding thermogravimetric curve;

[0008] Obtain the standard thermal weight loss curve of butyl rubber;

[0009] The curve analysis parameters are obtained, and according to the curve analysis parameters, the thermal gravimetric curve is compared and analyzed with the standard thermal gravimetric curve of butyl rubber to generate a quality test result corresponding to the butyl rubber sample to be tested.

[0010] In some embodiments, the step of performing a thermogravimetric analysis on the butyl rubber sample to be tested to generate a corresponding thermogravimetric curve specifically includes:

[0011] Obtain preset thermal weight loss test conditions, including test temperature range, heating rate, protective gas flow rate and type;

[0012] According to the thermal gravimetric test conditions, a thermal gravimetric analyzer is used to perform a thermal gravimetric test on the butyl rubber sample to generate a first thermal gravimetric curve and a second thermal gravimetric curve, wherein the first thermal gravimetric curve is a curve showing that the mass of the butyl rubber sample changes with temperature, and the second thermal gravimetric curve is a curve showing that the mass of the butyl rubber sample changes with time.

[0013] In some embodiments, obtaining a standard thermal weight loss curve of butyl rubber specifically includes:

[0014] Obtain qualified samples of butyl rubber standards;

[0015] According to the thermogravimetric test conditions, a thermogravimetric analysis is performed on the standard qualified butyl rubber sample to generate a corresponding first standard thermogravimetric curve and a second standard thermogravimetric curve, wherein the standard thermogravimetric curve of butyl rubber is a curve showing that the mass of the standard qualified butyl rubber sample changes with temperature, the first standard thermogravimetric curve is a curve showing that the mass of the standard qualified butyl rubber sample changes with temperature, and the second standard thermogravimetric curve is a curve showing that the mass of the standard qualified butyl rubber sample changes with time.

[0016] In some embodiments, the acquiring of the curve analysis parameters, and comparing the thermal gravimetric curve with the thermal gravimetric curve of the butyl rubber standard according to the curve analysis parameters, to generate the quality test result corresponding to the butyl rubber sample to be tested, specifically includes:

[0017] Obtain multiple temperature characteristic points;

[0018] According to each of the temperature characteristic points, determining a first mass loss ratio corresponding to each of the temperature characteristic points in the first thermal gravimetric curve, and a second mass loss ratio corresponding to each of the temperature characteristic points in the first standard thermal gravimetric curve;

[0019] determining a mass loss detection result according to the first mass loss ratio and the second mass loss ratio corresponding to each of the temperature characteristic points;

[0020] Performing a derivative of the second thermal weight loss curve to determine a first thermal weight loss maximum rate, performing a derivative of the second standard thermal weight loss curve to determine a second thermal weight loss maximum rate, and determining a weight loss rate temperature detection result according to the first thermal weight loss maximum rate and the second thermal weight loss maximum rate;

[0021] The mass detection result is determined according to the mass loss detection result and the weight loss rate temperature detection result.

[0022] In some embodiments, determining the mass loss detection result according to the first mass loss ratio and the second mass loss ratio corresponding to each of the temperature characteristic points specifically includes:

[0023] Calculating a mass loss ratio deviation value corresponding to each of the temperature characteristic points according to the first mass loss ratio and the second mass loss ratio corresponding to each of the temperature characteristic points;

[0024] Obtaining a preset standard mass loss ratio deviation threshold value for each of the temperature characteristic points;

[0025] When the mass loss ratio deviation value corresponding to each of the temperature characteristic points is less than the standard mass loss ratio deviation threshold value corresponding to each of the temperature characteristic points, the mass loss detection result is determined to be qualified mass loss; otherwise, the mass loss detection result is determined to be unqualified mass loss.

[0026] In some embodiments, performing differentiation on the second thermal weight loss curve to determine the first thermal weight loss maximum rate, performing differentiation on the second standard thermal weight loss curve to determine the second thermal weight loss maximum rate, and determining the weight loss rate temperature detection result according to the first thermal weight loss maximum rate and the second thermal weight loss maximum rate, specifically includes:

[0027] Taking a first-order derivative of the second thermal weight loss curve to obtain a corresponding second thermal weight loss first-order derivative curve, calculating a first curve inflection point corresponding to the second thermal weight loss first-order derivative curve, determining the first curve inflection point as the first thermal weight loss maximum rate, and determining a first thermal weight loss temperature corresponding to the current mass of the first butyl rubber from the first thermal weight loss curve according to the current mass of the first butyl rubber corresponding to the inflection point of the first curve;

[0028] Taking a first-order derivative of the second standard thermal weight loss curve to obtain a corresponding second standard thermal weight loss first-order derivative curve, calculating a second curve inflection point corresponding to the second standard thermal weight loss first-order derivative curve, determining the second curve inflection point as the second thermal weight loss maximum rate, and determining a second thermal weight loss temperature corresponding to the current mass of the second butyl rubber from the first standard thermal weight loss curve according to the current mass of the second butyl rubber corresponding to the inflection point of the second curve;

[0029] Calculating a corresponding thermal weight loss maximum rate temperature deviation value according to the first thermal weight loss temperature and the second thermal weight loss temperature;

[0030] A preset thermal weight loss maximum rate temperature deviation threshold range is obtained. When the thermal weight loss maximum rate temperature deviation value is within the thermal weight loss maximum rate temperature deviation threshold range, the weight loss rate temperature detection result is determined to be a qualified weight loss rate detection. Otherwise, the weight loss rate temperature detection result is determined to be an unqualified weight loss rate detection.

[0031] In some embodiments, determining the quality detection result according to the mass loss detection result and the weight loss rate temperature detection result specifically includes:

[0032] When the mass loss detection result is that the mass loss is qualified and the weight loss rate temperature detection result is that the weight loss rate detection is qualified, the quality detection result is determined to be qualified; otherwise, the quality detection result is determined to be unqualified.

[0033] On the other hand, the embodiment of the present application provides a butyl rubber quality detection device, the device comprising:

[0034] The first module is used to obtain butyl rubber samples to be tested;

[0035] The second module is used to perform thermogravimetric analysis on the butyl rubber sample to be tested and generate a corresponding thermogravimetric curve;

[0036] The third module is used to obtain the standard thermal weight loss curve of butyl rubber;

[0037] The fourth module is used to obtain curve analysis parameters, and compare and analyze the thermal gravimetric curve with the standard thermal gravimetric curve of butyl rubber according to the curve analysis parameters to generate a quality test result corresponding to the butyl rubber sample to be tested.

[0038] On the other hand, an embodiment of the present application provides an electronic device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the aforementioned method when executing the computer program.

[0039] On the other hand, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described above is implemented.

[0040] The embodiments of the present application include at least the following beneficial effects: the present application provides a butyl rubber quality detection method, device, electronic device and storage medium, which generates a corresponding thermogravimetric curve by performing thermogravimetric analysis on a butyl rubber sample to be tested, obtains a standard thermogravimetric curve of butyl rubber, obtains curve analysis parameters, and compares and analyzes the thermogravimetric curve with the standard thermogravimetric curve of butyl rubber according to the curve analysis parameters to generate a quality detection result corresponding to the butyl rubber sample to be tested. The present application can realize the quality detection of butyl rubber, improve the efficiency and accuracy of quality detection, and make independent and rapid judgments on the quality differences of butyl rubber between different batches. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a flow chart of a butyl rubber quality detection method provided in an embodiment of the present application;

[0042] Figure 2 It is a structural schematic diagram of a butyl rubber quality detection device provided in an embodiment of the present application;

[0043] Figure 3 It is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0045] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0046] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0047] Reference Figure 1 , Figure 1 This is an optional flow chart of a butyl rubber quality detection method provided in an embodiment of the present application. The method may include but is not limited to steps S101 to S104:

[0048] Step S101, obtaining a butyl rubber sample to be tested;

[0049] Step S102, performing a thermogravimetric analysis on the butyl rubber sample to be tested to generate a corresponding thermogravimetric curve;

[0050] Step S103, obtaining a standard thermal weight loss curve of butyl rubber;

[0051] Step S104, obtaining curve analysis parameters, and comparing and analyzing the thermal gravimetric curve with the standard thermal gravimetric curve of butyl rubber according to the curve analysis parameters to generate a quality test result corresponding to the butyl rubber sample to be tested.

[0052] In some embodiments, step S102 may include but is not limited to steps S201 to S202:

[0053] Step S201, obtaining preset thermal weight loss test conditions, including test temperature range, heating rate, protective gas flow rate and type;

[0054] Step S202, according to the thermal gravimetric test conditions, using a thermal gravimetric analyzer to perform thermal gravimetric detection on the butyl rubber sample to be tested, and generate a first thermal gravimetric curve and a second thermal gravimetric curve, wherein the first thermal gravimetric curve is a curve showing that the mass of the butyl rubber sample to be tested changes with temperature, and the second thermal gravimetric curve is a curve showing that the mass of the butyl rubber sample to be tested changes with time.

[0055] In some embodiments, exemplarily, the thermal gravimetric test conditions include a test temperature range of [25°C, 900°C], a heating rate of 10°C / min, a protective gas type of high-purity nitrogen, and a protective gas flow rate of 20 mL / min to 30 mL / min.

[0056] In some embodiments, optionally, a thermogravimetric analyzer is started, a butyl rubber sample to be tested is placed in a crucible, and then a thermogravimetric test is performed on the butyl rubber sample to be tested according to the thermogravimetric test conditions. The relationship between mass, temperature and time is continuously recorded by the thermogravimetric analyzer to generate a first thermogravimetric curve and a second thermogravimetric curve.

[0057] Specifically, the first thermal gravimetric curve has mass m as the ordinate and temperature T as the abscissa, namely, the m-T curve, and the second thermal gravimetric curve has mass m as the ordinate and time t as the abscissa, namely, the m-t curve.

[0058] In some embodiments, step S103 may include but is not limited to steps S301 to S302:

[0059] Step S301, obtaining a standard qualified sample of butyl rubber;

[0060] Step S302, according to the thermogravimetric test conditions, perform thermogravimetric analysis on the standard qualified butyl rubber sample to generate a corresponding first standard thermogravimetric curve and a second standard thermogravimetric curve, wherein the standard thermogravimetric curve of butyl rubber is a curve showing that the mass of the standard qualified butyl rubber sample changes with temperature, the first standard thermogravimetric curve is a curve showing that the mass of the standard qualified butyl rubber sample changes with temperature, and the second standard thermogravimetric curve is a curve showing that the mass of the standard qualified butyl rubber sample changes with time.

[0061] In some embodiments, according to the thermogravimetric test conditions, a thermogravimetric analysis is performed on the qualified standard butyl rubber sample confirmed to be qualified by a thermogravimetric analyzer to generate a corresponding first standard thermogravimetric curve and a second standard thermogravimetric curve.

[0062] In some embodiments, step S104 may include but is not limited to steps S401 to S405:

[0063] Step S401, obtaining a plurality of temperature characteristic points;

[0064] Step S402, determining, according to each temperature characteristic point, a first mass loss ratio corresponding to each temperature characteristic point in the first thermal gravimetric curve, and a second mass loss ratio corresponding to each temperature characteristic point in the first standard thermal gravimetric curve;

[0065] Step S403, determining a mass loss detection result according to the first mass loss ratio and the second mass loss ratio corresponding to each temperature characteristic point;

[0066] Step S404, performing differentiation on the second thermal weight loss curve to determine the first thermal weight loss maximum rate, performing differentiation on the second standard thermal weight loss curve to determine the second thermal weight loss maximum rate, and determining the weight loss rate temperature detection result according to the first thermal weight loss maximum rate and the second thermal weight loss maximum rate;

[0067] Step S405, determining the quality detection result according to the mass loss detection result and the weight loss rate temperature detection result.

[0068] In some embodiments, the mass loss ratio is the ratio of the current mass loss of the butyl rubber sample to the initial mass, the initial mass is the mass before thermogravimetric analysis, and the current mass loss is the difference between the current mass and the initial mass of the butyl rubber sample during the thermogravimetric test.

[0069] For example, assuming that the initial mass of the butyl rubber sample to be tested is 10 mg, at a certain moment during the thermal gravimetric test, the current mass of the butyl rubber sample to be tested is 9.8 mg, then the current loss mass is: 10 mg-9.8 mg=0.2 mg, and the mass loss ratio is: (0.2 mg / 10 mg)*100%=2%.

[0070] In some embodiments, step S403 may include but is not limited to steps S501 to S503:

[0071] Step S501, calculating the mass loss ratio deviation value corresponding to each temperature characteristic point according to the first mass loss ratio and the second mass loss ratio corresponding to each temperature characteristic point;

[0072] Step S502, obtaining a preset standard mass loss ratio deviation threshold value of each temperature characteristic point;

[0073] Step S503, when the mass loss ratio deviation value corresponding to each temperature characteristic point is less than the standard mass loss ratio deviation threshold value corresponding to each temperature characteristic point, the mass loss detection result is determined to be qualified; otherwise, the mass loss detection result is determined to be unqualified.

[0074] In some embodiments, optionally, assuming that the temperature characteristic points are 150°C and 900°C, the first mass loss ratio A1 corresponding to 150°C is 5%, the second mass loss ratio A1 corresponding to 200°C is 3%, the first mass loss ratio B1 corresponding to 900°C is 7%, and the second mass loss ratio B1 corresponding to 900°C is 4%. The mass loss ratio deviation value corresponding to 150°C is 2%, the mass loss ratio deviation value corresponding to 900°C is 3%, the preset standard mass loss ratio deviation threshold value for 150°C is 0.5%, and the preset standard mass loss ratio deviation threshold value for 900°C is 5%. Since the mass loss ratio deviation value 2% corresponding to 150°C is greater than 0.5%, and the mass loss ratio deviation value 3% corresponding to 900°C is less than 5%, it is determined that the mass loss detection result is that the mass loss is unqualified.

[0075] The mass loss ratio deviation value at the temperature characteristic point of 200°C can be used to determine whether the butyl rubber formula contains small molecule plasticizers. The mass loss ratio deviation value at the temperature characteristic point of 900°C can be used to determine whether the butyl rubber formula changes the type and amount of inorganic fillers, such as calcium carbonate, carbon black, etc.

[0076] In some embodiments, step S404 may include but is not limited to steps S601 to S604:

[0077] Step S601, taking a first-order derivative of the second thermal weight loss curve to obtain a corresponding second thermal weight loss first-order derivative curve, calculating a first curve inflection point corresponding to the second thermal weight loss first-order derivative curve, determining the first curve inflection point as a first thermal weight loss maximum rate, and determining a first thermal weight loss temperature corresponding to the current mass of the first butyl rubber from the first thermal weight loss curve according to the current mass of the first butyl rubber corresponding to the inflection point of the first curve;

[0078] Step S602, taking a first-order derivative of the second standard thermal weight loss curve to obtain a corresponding second standard thermal weight loss first-order derivative curve, calculating a second curve inflection point corresponding to the second standard thermal weight loss first-order derivative curve, determining the second curve inflection point as the second thermal weight loss maximum rate, and determining a second thermal weight loss temperature corresponding to the current mass of the second butyl rubber from the first standard thermal weight loss curve according to the current mass of the second butyl rubber corresponding to the inflection point of the second curve;

[0079] Step S603, calculating the corresponding thermal weight loss maximum rate temperature deviation value according to the first thermal weight loss temperature and the second thermal weight loss temperature;

[0080] Step S604, obtaining a preset thermal weight loss maximum rate temperature deviation threshold range, when the thermal weight loss maximum rate temperature deviation value is within the thermal weight loss maximum rate temperature deviation threshold range, determining that the weight loss rate temperature detection result is qualified for the weight loss rate detection, otherwise, determining that the weight loss rate temperature detection result is unqualified for the weight loss rate detection.

[0081] In some embodiments, for example, assuming that the current mass of the first butyl rubber corresponding to the inflection point of the first curve is m1, in the first thermal weight loss curve, the first thermal weight loss temperature corresponding to the mass m1 is 500°C, assuming that the current mass of the second butyl rubber corresponding to the inflection point of the second curve is m2, in the second standard thermal weight loss curve, the second thermal weight loss temperature corresponding to the mass m2 is 495°C, then the thermal weight loss maximum rate temperature deviation value is 500°C-495°C=5°C, and the preset thermal weight loss maximum rate temperature deviation threshold range is 10°C. Since 5°C is less than 10°C, it is determined that the weight loss rate temperature detection result is qualified for the weight loss rate detection.

[0082] In step S405 of some embodiments, when the mass loss detection result is qualified for mass loss and the weight loss rate temperature detection result is qualified for weight loss rate detection, the quality detection result is determined to be qualified for quality detection, otherwise, the quality detection result is determined to be unqualified for quality detection.

[0083] Refer to Table 1, which is a table of thermal gravimetric analysis parameters of 4 groups of butyl rubber samples to be tested and standard qualified samples. Table 1 is as follows:

[0084] Table 1 Sample thermal gravimetric analysis parameters

[0085]

[0086] Among them, the temperature characteristic points are 150°C and 900°C. According to Table 1 above, the quality inspection result of sample 1 is qualified in the quality inspection. Since the mass loss ratio deviation value of sample 2 at 150°C is greater than its mass loss ratio deviation threshold, the quality inspection result of sample 2 is unqualified in the quality inspection. The maximum thermal weight loss rate temperature deviation value of sample 3 is 415-383=32. Since the maximum thermal weight loss rate temperature deviation value of sample 3 is not within the maximum thermal weight loss rate temperature deviation threshold range, the quality inspection result of sample 3 is unqualified in the quality inspection. Since the mass loss ratio deviation value of sample 4 at 900°C is greater than its mass loss ratio deviation threshold, the quality inspection result of sample 4 is unqualified in the quality inspection.

[0087] Reference Figure 2 , Figure 2 : is an optional structural schematic diagram of a butyl rubber quality detection device provided in an embodiment of the present application, the device is used to implement the above-mentioned butyl rubber quality detection method, and the device may include:

[0088] The first module is used to obtain butyl rubber samples to be tested;

[0089] The second module is used to perform thermogravimetric analysis on the butyl rubber sample to be tested and generate a corresponding thermogravimetric curve;

[0090] The third module is used to obtain the standard thermal weight loss curve of butyl rubber;

[0091] The fourth module is used to obtain curve analysis parameters, and based on the curve analysis parameters, compare and analyze the thermal gravimetric curve with the standard thermal gravimetric curve of butyl rubber to generate the quality test results corresponding to the butyl rubber sample to be tested.

[0092] The specific implementation of the butyl rubber quality detection device is basically the same as the specific implementation example of the above-mentioned butyl rubber quality detection method, and will not be repeated here.

[0093] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned butyl rubber quality detection method when executing the computer program. The electronic device can be any smart terminal including a tablet computer.

[0094] See also Figure 3 , Figure 3 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0095] The processor 901 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), etc., and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0096] The memory 902 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 902 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 902, and the processor 901 calls and executes the butyl rubber quality detection method of the embodiment of this application;

[0097] Input / output interface 903, used to implement information input and output;

[0098] Communication interface 904, used to realize communication interaction between the device and other devices, which can be realized by wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.);

[0099] A bus 905 that transmits information between various components of the device (e.g., the processor 901, the memory 902, the input / output interface 903, and the communication interface 904);

[0100] The processor 901 , the memory 902 , the input / output interface 903 and the communication interface 904 are connected to each other in communication within the device via a bus 905 .

[0101] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned butyl rubber quality detection method is implemented.

[0102] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0103] The embodiments of the present application provide a butyl rubber quality detection method, device, electronic device and storage medium, which generate a corresponding thermogravimetric curve by performing thermogravimetric analysis on a butyl rubber sample to be tested, obtain a standard thermogravimetric curve of butyl rubber, obtain curve analysis parameters, and compare and analyze the thermogravimetric curve with the standard thermogravimetric curve of butyl rubber according to the curve analysis parameters to generate a quality detection result corresponding to the butyl rubber sample to be tested. The embodiments of the present application can realize the quality detection of butyl rubber, improve the efficiency and accuracy of quality detection, and make independent and rapid judgments on the quality differences of butyl rubber between different batches.

[0104] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0105] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0106] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0107] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0108] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0109] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0110] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0111] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0113] It should be appreciated that embodiments of the present invention may be implemented or enforced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method may be implemented in a computer program using standard programming techniques including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the methods and drawings described in the specific embodiments. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program may be implemented in an assembly or machine language. In any case, the language may be a compiled or interpreted language. In addition, the program may be run on a programmed ASIC for this purpose.

[0114] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0115] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A butyl rubber quality detection method, characterized in that: The method comprises the following steps: Obtain a butyl rubber sample to be tested; Performing a thermogravimetric analysis on the butyl rubber sample to be tested to generate a corresponding thermogravimetric curve; Obtain the standard thermal weight loss curve of butyl rubber; The curve analysis parameters are obtained, and according to the curve analysis parameters, the thermal gravimetric curve is compared and analyzed with the standard thermal gravimetric curve of butyl rubber to generate a quality test result corresponding to the butyl rubber sample to be tested.

2. The method according to claim 1, characterized in that The step of performing a thermogravimetric analysis on the butyl rubber sample to be tested to generate a corresponding thermogravimetric curve specifically includes: Obtain preset thermal weight loss test conditions, including test temperature range, heating rate, protective gas flow rate and type; According to the thermal gravimetric test conditions, a thermal gravimetric analyzer is used to perform a thermal gravimetric test on the butyl rubber sample to generate a first thermal gravimetric curve and a second thermal gravimetric curve, wherein the first thermal gravimetric curve is a curve showing that the mass of the butyl rubber sample changes with temperature, and the second thermal gravimetric curve is a curve showing that the mass of the butyl rubber sample changes with time.

3. The method according to claim 2, characterized in that The step of obtaining a standard thermal weight loss curve of butyl rubber specifically includes: obtaining a standard qualified sample of butyl rubber; According to the thermogravimetric test conditions, a thermogravimetric analysis is performed on the standard qualified butyl rubber sample to generate a corresponding first standard thermogravimetric curve and a second standard thermogravimetric curve, wherein the standard thermogravimetric curve of butyl rubber is a curve showing that the mass of the standard qualified butyl rubber sample changes with temperature, the first standard thermogravimetric curve is a curve showing that the mass of the standard qualified butyl rubber sample changes with temperature, and the second standard thermogravimetric curve is a curve showing that the mass of the standard qualified butyl rubber sample changes with time.

4. The method according to claim 3, characterized in that The acquiring of curve analysis parameters, and comparing and analyzing the thermal gravimetric curve with the thermal gravimetric curve of the butyl rubber standard according to the curve analysis parameters, to generate a quality test result corresponding to the butyl rubber sample to be tested, specifically includes: Obtain multiple temperature characteristic points; According to each of the temperature characteristic points, determining a first mass loss ratio corresponding to each of the temperature characteristic points in the first thermal gravimetric curve, and a second mass loss ratio corresponding to each of the temperature characteristic points in the first standard thermal gravimetric curve; determining a mass loss detection result according to the first mass loss ratio and the second mass loss ratio corresponding to each of the temperature characteristic points; Performing a derivative of the second thermal weight loss curve to determine a first thermal weight loss maximum rate, performing a derivative of the second standard thermal weight loss curve to determine a second thermal weight loss maximum rate, and determining a weight loss rate temperature detection result according to the first thermal weight loss maximum rate and the second thermal weight loss maximum rate; The mass detection result is determined according to the mass loss detection result and the weight loss rate temperature detection result.

5. The method according to claim 4, characterized in that The determining of the mass loss detection result according to the first mass loss ratio and the second mass loss ratio corresponding to each of the temperature characteristic points specifically includes: Calculating a mass loss ratio deviation value corresponding to each of the temperature characteristic points according to the first mass loss ratio and the second mass loss ratio corresponding to each of the temperature characteristic points; Obtaining a preset standard mass loss ratio deviation threshold value for each of the temperature characteristic points; When the mass loss ratio deviation value corresponding to each of the temperature characteristic points is less than the standard mass loss ratio deviation threshold value corresponding to each of the temperature characteristic points, the mass loss detection result is determined to be qualified mass loss; otherwise, the mass loss detection result is determined to be unqualified mass loss.

6. The method according to claim 5, characterized in that The second thermal weight loss curve is differentiated to determine the first thermal weight loss maximum rate, the second standard thermal weight loss curve is differentiated to determine the second thermal weight loss maximum rate, and the weight loss rate temperature detection result is determined according to the first thermal weight loss maximum rate and the second thermal weight loss maximum rate, Specifically include: Taking a first-order derivative of the second thermal weight loss curve to obtain a corresponding second thermal weight loss first-order derivative curve, calculating a first curve inflection point corresponding to the second thermal weight loss first-order derivative curve, determining the first curve inflection point as the first thermal weight loss maximum rate, and determining a first thermal weight loss temperature corresponding to the current mass of the first butyl rubber from the first thermal weight loss curve according to the current mass of the first butyl rubber corresponding to the inflection point of the first curve; Taking a first-order derivative of the second standard thermal weight loss curve to obtain a corresponding second standard thermal weight loss first-order derivative curve, calculating a second curve inflection point corresponding to the second standard thermal weight loss first-order derivative curve, determining the second curve inflection point as the second thermal weight loss maximum rate, and determining a second thermal weight loss temperature corresponding to the current mass of the second butyl rubber from the first standard thermal weight loss curve according to the current mass of the second butyl rubber corresponding to the inflection point of the second curve; Calculating a corresponding thermal weight loss maximum rate temperature deviation value according to the first thermal weight loss temperature and the second thermal weight loss temperature; A preset thermal weight loss maximum rate temperature deviation threshold range is obtained. When the thermal weight loss maximum rate temperature deviation value is within the thermal weight loss maximum rate temperature deviation threshold range, the weight loss rate temperature detection result is determined to be a qualified weight loss rate detection. Otherwise, the weight loss rate temperature detection result is determined to be an unqualified weight loss rate detection.

7. The method according to claim 6, characterized in that Determining the quality detection result according to the mass loss detection result and the weight loss rate temperature detection result specifically includes: When the mass loss detection result is that the mass loss is qualified and the weight loss rate temperature detection result is that the weight loss rate detection is qualified, the quality detection result is determined to be qualified; otherwise, the quality detection result is determined to be unqualified.

8. A butyl rubber quality detection device, characterized in that: The device comprises: The first module is used to obtain butyl rubber samples to be tested; The second module is used to perform thermogravimetric analysis on the butyl rubber sample to be tested and generate a corresponding thermogravimetric curve; The third module is used to obtain the standard thermal weight loss curve of butyl rubber; The fourth module is used to obtain curve analysis parameters, and compare and analyze the thermal gravimetric curve with the standard thermal gravimetric curve of butyl rubber according to the curve analysis parameters to generate a quality test result corresponding to the butyl rubber sample to be tested.

9. An electronic device, characterized in that: The electronic device comprises a memory and a processor, the memory stores a computer program, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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