Crucible detection method and detection device

Abstract

The present invention relates to the field of detection, and discloses a crucible detection method and detection device, including a cloud data server generating an evaluation management container according to a crucible evaluation task, and connecting with a crucible testing device, wherein the evaluation management container is used to store and process collected crucible test data; the crucible testing device performs an initial test on the test crucible according to the evaluation index in the crucible evaluation task, and collects the initial data of the test crucible evaluation index; the test crucible is evaluated according to the change characteristics of the test crucible evaluation index, and if the crucible is evaluated as normal, the change trend of the test crucible is obtained, and when the change trend of the test crucible is an aging trend, the estimated remaining life of the test crucible is obtained according to the obtained aging trend, and the evaluation of the service life of the crucible is completed. Through the present invention, accurate crucible detection can be achieved, and the performance stability and reliability of the crucible can be ensured.

Description

Technical Field

[0001] The invention relates to the field of detection, and in particular to a crucible detection method and a detection device. Background Art

[0002] In materials science, chemistry, metallurgy and many industrial fields, crucibles are a key experimental and production tool, and their importance is self-evident. They are mainly used to carry and heat various substances for high-temperature treatment processes such as chemical reactions, melting, and sintering. However, during the use of crucibles, due to the influence of factors such as the high temperature, corrosive substances, and mechanical stress they carry, their performance will gradually decline, and they may even suffer from serious problems such as breakage, deformation, and leakage.

[0003] Traditionally, the performance evaluation of crucibles mainly relies on manual observation and simple physical measurements, which often lack accuracy and real-time performance. Especially in some scenarios that require long-term high-temperature operation, the performance change of the crucible may be a gradual process, and traditional detection methods often cannot detect these subtle changes in time.

[0004] In recent years, with the rapid development of sensor technology, data analysis, cloud computing and other technologies, new possibilities have been provided for the performance testing of crucibles. However, there is still a lack of a testing method that can comprehensively, real-time and accurately evaluate the performance of crucibles on the market. Most existing testing schemes still rely on traditional physical measurements and manual observations, which cannot achieve a comprehensive evaluation of crucible performance and cannot provide real-time data support. Summary of the invention

[0005] The object of the present invention is to overcome the deficiencies of the prior art and provide a crucible detection method, comprising the following steps:

[0006] Step 1: The cloud data server generates an evaluation management container according to the crucible evaluation task and connects it to the crucible testing device. The evaluation management container is used to store and process the collected crucible testing data.

[0007] Step 2: The crucible testing device performs an initial test on the crucible according to the evaluation index in the crucible evaluation task, and collects initial data of the evaluation index of the test crucible;

[0008] Step 3: The crucible testing device tests the test crucible, collects the crucible test data according to the set test duration, obtains the test crucible evaluation index data within the test duration, compares the test crucible evaluation index data within the test duration with the test crucible evaluation index initial data, obtains the test crucible evaluation index change characteristics, and evaluates the test crucible according to the test crucible evaluation index change characteristics. If the crucible is evaluated as normal, proceed to step 4; otherwise, replace the test crucible and return to step 2;

[0009] Step 4: The crucible testing device collects the crucible test data of the current test duration to obtain the evaluation index data of the current test crucible; the crucible testing device compares the obtained evaluation index data of the crucibles of different test durations with the evaluation index data of the current test crucible to obtain the change trend of the test crucible. When the change trend of the test crucible is an aging trend, step 5 is entered;

[0010] Step 5: Obtain an estimated remaining life of the test crucible based on the obtained aging trend, and complete the evaluation of the service life of the crucible.

[0011] Furthermore, the crucible testing device performs an initial test on the crucible according to the evaluation index in the crucible evaluation task, and collects initial data of the evaluation index of the test crucible, including:

[0012] The evaluation indexes are thermal conductivity and temperature uniformity; the thermal conductivity is: respectively obtaining the temperatures of a plurality of selected detection points at the same distance from the heating center point of the test crucible heating surface; when the temperature difference between each detection point is less than the difference threshold, the heating of the crucible heating surface is completed; the average value of the temperature of each detection point is the test temperature; the initial thermal conductivity is obtained according to the ratio of the test temperature to the time length for the detection point temperature to rise to the test temperature; the initial temperature uniformity is obtained according to the average value of the temperature difference between each detection point; the initial thermal conductivity and the initial temperature uniformity constitute the initial data of the test crucible evaluation index.

[0013] Furthermore, the crucible testing device tests the test crucible, and collects crucible test data according to the set test duration, and obtains the test crucible evaluation index data within the test duration, including:

[0014] The evaluation index data of the test crucible within the test time are as follows: the average test temperature from the time when the temperature of the detection point on the heating surface of the crucible rises to the test temperature to the time when heating is stopped is collected within the test time, the thermal conductivity of the test crucible within the test time is obtained according to the ratio of the average test temperature to the time when the temperature rises to the test temperature, and the temperature uniformity of the test crucible within the test time is obtained according to the average value of the temperature difference between each detection point.

[0015] Furthermore, the test crucible evaluation index data within the test duration is compared with the test crucible evaluation index initial data to obtain the test crucible evaluation index change characteristics, and the test crucible evaluation is performed according to the test crucible evaluation index change characteristics, including:

[0016] If the difference between the thermal conductivity of the test crucible and the initial thermal conductivity within the test time, and the difference between the temperature uniformity of the test crucible and the initial temperature uniformity within the test time, are both within the set difference threshold range, the evaluation passes; otherwise, it fails.

[0017] Furthermore, the crucible testing device compares the obtained crucible evaluation index data of different test durations with the evaluation index data of the current test crucible, respectively, to obtain a change trend of the test crucible, including:

[0018] The crucible evaluation index data of different test durations are: the crucible evaluation index data after different cumulative test durations, obtaining the crucible evaluation index data after different cumulative test durations, respectively obtaining the data difference with the current test crucible evaluation index data, sorting according to the size of the different cumulative test durations, and obtaining the change value of the latter data difference and the previous data difference. If the change value is within the set change value threshold, the crucible is in a stable trend, otherwise the change value is greater than the set change value threshold, it is an aging trend;

[0019] Furthermore, the estimated remaining life of the test crucible is obtained according to the obtained aging trend, and the evaluation of the service life of the crucible is completed, including:

[0020] When the aging trend appears, the corresponding cumulative test time is obtained, and the cumulative test time is the service life of the crucible.

[0021] A crucible detection device, using the above-mentioned crucible detection method, comprises a cloud data server, a crucible testing device, a communication device, a data processing device and a data storage device;

[0022] The crucible testing device, communication device and data storage device are respectively connected to the data processing device; the cloud data server is communicatively connected to the communication device.

[0023] The beneficial effects of the present invention are: through regular and accurate crucible detection, the performance stability and reliability of the crucible can be ensured. The present invention can timely discover potential safety hazards of the crucible, can more accurately judge the service life and maintenance and replacement timing of the crucible, avoid resource waste and additional costs caused by early or late replacement, and achieve optimal allocation of resources and cost reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 A schematic diagram of the principle of a crucible detection method;

[0025] Figure 2 The figure is a schematic diagram of the principle of a crucible detection device. DETAILED DESCRIPTION

[0026] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following.

[0027] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

[0028] like Figure 1 As shown, a crucible detection method comprises the following steps:

[0029] Step 1: The cloud data server generates an evaluation management container according to the crucible evaluation task and connects it to the crucible testing device. The evaluation management container is used to store and process the collected crucible testing data.

[0030] Step 2: The crucible testing device performs an initial test on the crucible according to the evaluation index in the crucible evaluation task, and collects initial data of the evaluation index of the test crucible;

[0031] Step 3: The crucible testing device tests the test crucible, collects the crucible test data according to the set test duration, obtains the test crucible evaluation index data within the test duration, compares the test crucible evaluation index data within the test duration with the test crucible evaluation index initial data, obtains the test crucible evaluation index change characteristics, and evaluates the test crucible according to the test crucible evaluation index change characteristics. If the crucible is evaluated as normal, proceed to step 4; otherwise, replace the test crucible and return to step 2;

[0032] Step 4: The crucible testing device collects the crucible test data of the current test duration to obtain the evaluation index data of the current test crucible; the crucible testing device compares the obtained evaluation index data of the crucibles of different test durations with the evaluation index data of the current test crucible to obtain the change trend of the test crucible. When the change trend of the test crucible is an aging trend, step 5 is entered;

[0033] Step 5: Obtain an estimated remaining life of the test crucible based on the obtained aging trend, and complete the evaluation of the service life of the crucible.

[0034] The crucible testing device performs an initial test on the crucible according to the evaluation index in the crucible evaluation task, and collects initial data of the evaluation index of the test crucible, including:

[0035] The evaluation indexes are thermal conductivity and temperature uniformity; the thermal conductivity is: respectively obtaining the temperatures of a plurality of selected detection points at the same distance from the heating center point of the test crucible heating surface; when the temperature difference between each detection point is less than the difference threshold, the heating of the crucible heating surface is completed; the average value of the temperature of each detection point is the test temperature; the initial thermal conductivity is obtained according to the ratio of the test temperature to the time length for the detection point temperature to rise to the test temperature; the initial temperature uniformity is obtained according to the average value of the temperature difference between each detection point; the initial thermal conductivity and the initial temperature uniformity constitute the initial data of the test crucible evaluation index.

[0036] The crucible testing device tests the test crucible and collects crucible test data according to the set test duration to obtain the test crucible evaluation index data within the test duration, including:

[0037] The evaluation index data of the test crucible within the test time are as follows: the average test temperature from the time when the temperature of the detection point on the heating surface of the crucible rises to the test temperature to the time when heating is stopped is collected within the test time, the thermal conductivity of the test crucible within the test time is obtained according to the ratio of the average test temperature to the time when the temperature rises to the test temperature, and the temperature uniformity of the test crucible within the test time is obtained according to the average value of the temperature difference between each detection point.

[0038] The test crucible evaluation index data within the test time is compared with the initial data of the test crucible evaluation index to obtain the test crucible evaluation index change characteristics, and the test crucible evaluation is performed according to the test crucible evaluation index change characteristics, including:

[0039] If the difference between the thermal conductivity of the test crucible and the initial thermal conductivity within the test time, and the difference between the temperature uniformity of the test crucible and the initial temperature uniformity within the test time, are both within the set difference threshold range, the evaluation passes; otherwise, it fails.

[0040] The crucible testing device compares the obtained crucible evaluation index data of different test durations with the current test crucible evaluation index data to obtain the change trend of the test crucible, including:

[0041] The crucible evaluation index data of different test durations are: the crucible evaluation index data after different cumulative test durations, obtaining the crucible evaluation index data after different cumulative test durations, respectively obtaining the data difference with the current test crucible evaluation index data, sorting according to the size of the different cumulative test durations, and obtaining the change value of the latter data difference and the previous data difference. If the change value is within the set change value threshold, the crucible is in a stable trend, otherwise the change value is greater than the set change value threshold, it is an aging trend;

[0042] The estimated remaining life of the test crucible is obtained according to the obtained aging trend, and the evaluation of the service life of the crucible is completed, including:

[0043] When the aging trend appears, the corresponding cumulative test time is obtained, and the cumulative test time is the service life of the crucible.

[0044] like Figure 2 As shown, a crucible detection device, using the above-mentioned crucible detection method, includes a cloud data server, a crucible testing device, a communication device, a data processing device and a data storage device;

[0045] The crucible testing device, communication device and data storage device are respectively connected to the data processing device; the cloud data server is communicatively connected to the communication device.

[0046] The crucible detection method mainly includes the following five steps:

[0047] Step 1: The cloud data server generates an evaluation management container based on the crucible evaluation task and connects it to the crucible test device. The evaluation management container is used to store and process the collected crucible test data. This step ensures the centralized management and effective processing of data, providing a solid foundation for subsequent crucible evaluation.

[0048] Step 2: The crucible testing device performs initial testing on the test crucible according to the evaluation indicators in the crucible evaluation task, and collects the initial data of the test crucible evaluation indicators. The evaluation indicators mainly include thermal conductivity and temperature uniformity. These two indicators directly reflect the heat conduction performance and temperature distribution uniformity of the crucible during the working process, and are important parameters for evaluating the performance of the crucible.

[0049] Specifically, the thermal conductivity test is to obtain the temperature of multiple selected test points with the same distance to the heating center point of the test crucible heating surface. When the temperature difference between each test point is less than the difference threshold, the crucible heating surface is heated. The average value of the temperature of each test point is the test temperature. The initial thermal conductivity can be obtained based on the ratio of the test temperature to the time it takes for the test point temperature to rise to the test temperature. The temperature uniformity is obtained based on the average value of the temperature difference between each test point.

[0050] Step 3: The crucible testing device tests the test crucible and collects the crucible test data according to the set test duration to obtain the test crucible evaluation index data within the test duration. The data collection in this step is similar to that in step 2, but focuses on the changes in the crucible performance within a specific test duration.

[0051] By comparing the test crucible evaluation index data within the test duration with the test crucible evaluation index initial data, the test crucible evaluation index change characteristics can be obtained. According to these change characteristics, the test crucible can be evaluated. If the crucible is evaluated as normal, proceed to step 4; otherwise, the test crucible needs to be replaced and return to step 2 for retesting.

[0052] Step 4: The crucible testing device collects the crucible test data of the current test duration to obtain the evaluation index data of the current test crucible. Then, the crucible testing device compares the obtained crucible evaluation index data of different test durations with the current test crucible evaluation index data to obtain the change trend of the test crucible.

[0053] Specifically, the crucible evaluation index data of different test durations are actually the crucible evaluation index data after different cumulative test durations. By obtaining these data and comparing them with the current test crucible evaluation index data, the data difference can be obtained. According to the size sorting of different cumulative test durations, the change value of the latter data difference and the previous data difference can be obtained. If the change value is within the set change value threshold, it means that the crucible performance is stable; otherwise, if the change value is greater than the set change value threshold, it means that the crucible performance shows an aging trend.

[0054] Step 5: Based on the obtained aging trend, the estimated remaining life of the test crucible can be further obtained, thereby completing the evaluation of the service life of the crucible. Specifically, when the aging trend appears, the corresponding cumulative test time can be regarded as the service life of the crucible.

[0055] A crucible detection device is applied to the above-mentioned crucible detection method, and mainly comprises a cloud data server, a crucible testing device, a communication device, a data processing device and a data storage device.

[0056] The crucible test device is the core part of the detection device, which is responsible for executing specific crucible test tasks and collecting test data. The communication device is responsible for realizing the communication connection between the cloud data server and the crucible test device to ensure real-time transmission and sharing of data. The data processing device is responsible for processing and analyzing the collected crucible test data to obtain useful evaluation indicators and change trends. The data storage device is used to store all test data and evaluation results for subsequent analysis and query.

[0057] Implementation of crucible detection method in a chemical plant

[0058] In the production process of a chemical plant, crucibles are important reaction vessels, and their performance stability and service life have a vital impact on product quality and production efficiency. In order to ensure that the crucible is in good working condition, the chemical plant decided to adopt an advanced crucible detection method, which achieves a comprehensive and accurate evaluation of crucible performance through the collaborative work of cloud data servers and crucible testing devices.

[0059] The chemical plant often needs to use crucibles for high-temperature reactions during the production process. However, since the crucibles are affected by factors such as high temperature and corrosion during use, their performance will gradually decline, and they may even suffer serious problems such as breakage and leakage. These problems will not only affect product quality and production efficiency, but may also pose a threat to production safety. Therefore, the chemical plant decided to implement an advanced crucible testing method to ensure the stability of the crucible's performance, improve product quality and production efficiency, and ensure production safety.

[0060] Building and configuring cloud data servers

[0061] First, the chemical plant built a cloud data server to store and process the collected crucible test data. The server uses high-performance hardware configuration and stable network connection to ensure real-time transmission and sharing of data. At the same time, in order to ensure the security of data, the server also uses multiple encryption technologies and backup mechanisms.

[0062] Selection and installation of crucible test equipment

[0063] The chemical plant selected an advanced crucible testing device, which has the characteristics of high precision and high stability, and can meet the strict requirements of the chemical plant for crucible performance. The testing device was installed at the production site of the chemical plant and seamlessly connected with the cloud data server.

[0064] Development and execution of Crucible assessment tasks

[0065] The chemical plant has formulated a detailed crucible evaluation task, including evaluation indicators, test duration, data collection frequency, etc. The evaluation indicators mainly include thermal conductivity and temperature uniformity, which directly reflect the heat conduction performance and temperature distribution uniformity of the crucible during operation. The test duration is determined according to the production cycle of the chemical plant and the use of the crucible. The data collection frequency is determined according to the accuracy requirements of the evaluation indicators.

[0066] Collection and processing of crucible test data

[0067] The crucible test device tests the crucible according to the set test duration and data collection frequency, and collects test data. The test data is transmitted to the cloud data server in real time for storage and processing. During the data processing, the chemical plant uses advanced data analysis algorithms to conduct in-depth mining and analysis of the test data to obtain useful evaluation indicators and change trends.

[0068] Crucible Assessment and Decision Support

[0069] Based on the collected crucible test data and processing results, the chemical plant conducted a comprehensive evaluation of the crucible's performance. The evaluation results were presented to the decision-makers of the chemical plant in the form of a report, providing strong data support for the decision-makers. Based on the evaluation results, the chemical plant can promptly identify problems with the crucible's performance and take appropriate measures to repair or replace it to ensure production safety and efficiency.

[0070] By implementing this crucible detection method, the chemical plant has achieved significant results and benefits:

[0071] Improved product quality and production efficiency: By regularly testing and evaluating crucibles, chemical plants can promptly identify problems with crucible performance and take appropriate measures to repair or replace them. This effectively avoids product quality problems and reduced production efficiency caused by reduced crucible performance.

[0072] Ensure production safety: Through comprehensive inspection and evaluation of crucibles, chemical plants can promptly identify potential safety hazards of crucibles and take appropriate measures to repair or replace them. This effectively avoids production safety accidents caused by crucible breakage, leakage and other problems.

[0073] Reduced production costs: By implementing this crucible detection method, chemical plants can make more scientific plans for the maintenance and replacement of crucibles, avoiding the extra costs caused by replacing crucibles too early or too late. At the same time, this method can also help chemical plants optimize the use and management of crucibles and further reduce production costs.

[0074] The above is only a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be modified within the scope of the concept described herein through the above teachings or the technology or knowledge of the relevant field. The changes and modifications made by those skilled in the art shall not deviate from the spirit and scope of the present invention, and shall be within the scope of protection of the claims attached to the present invention.

Claims

1. A crucible detection method, characterized in that: The steps include: Step 1: The cloud data server generates an evaluation management container according to the crucible evaluation task and connects it to the crucible testing device. The evaluation management container is used to store and process the collected crucible testing data. Step 2: The crucible testing device performs an initial test on the test crucible according to the evaluation indicators in the crucible evaluation task, and collects initial data of the test crucible evaluation indicators; Step 3: The crucible testing device tests the test crucible, collects the crucible test data according to the set test duration, obtains the test crucible evaluation index data within the test duration, compares the test crucible evaluation index data within the test duration with the test crucible evaluation index initial data, obtains the test crucible evaluation index change characteristics, and evaluates the test crucible according to the test crucible evaluation index change characteristics. If the crucible is evaluated as normal, proceed to step 4; otherwise, replace the test crucible and return to step 2; Step 4: The crucible testing device collects the crucible testing data of the current testing time to obtain the evaluation index data of the current testing crucible; The crucible testing device compares the obtained crucible evaluation index data of different test durations with the evaluation index data of the current test crucible, respectively, to obtain the change trend of the test crucible. When the change trend of the test crucible is an aging trend, the process proceeds to step five. Step 5, obtaining an estimated remaining life of the test crucible according to the obtained aging trend, and completing the evaluation of the service life of the crucible; The crucible testing device performs an initial test on the crucible according to the evaluation index in the crucible evaluation task, and collects initial data of the evaluation index of the test crucible, including: The evaluation indexes are thermal conductivity and temperature uniformity; the thermal conductivity is: respectively obtaining the temperatures of a plurality of selected detection points at the same distance from the heating center point of the test crucible heating surface; when the temperature difference between each detection point is less than the difference threshold, the heating of the crucible heating surface is completed; the average value of the temperature of each detection point is the test temperature; the initial thermal conductivity is obtained according to the ratio of the test temperature to the time length for the detection point temperature to rise to the test temperature; the initial temperature uniformity is obtained according to the average value of the temperature difference between each detection point; the initial thermal conductivity and the initial temperature uniformity constitute the initial data of the test crucible evaluation index.

2. A crucible detection method according to claim 1, characterized in that: The crucible testing device tests the test crucible and collects crucible test data according to the set test duration to obtain the test crucible evaluation index data within the test duration, including: The evaluation index data of the test crucible within the test time are as follows: the average test temperature from the time when the temperature of the detection point on the heating surface of the crucible rises to the test temperature to the time when heating is stopped is collected within the test time, the thermal conductivity of the test crucible within the test time is obtained according to the ratio of the average test temperature to the time when it rises to the test temperature, and the temperature uniformity of the test crucible within the test time is obtained according to the average value of the temperature difference between each detection point.

3. A crucible detection method according to claim 2, characterized in that: The test crucible evaluation index data within the test time is compared with the initial data of the test crucible evaluation index to obtain the test crucible evaluation index change characteristics, and the test crucible evaluation is performed according to the test crucible evaluation index change characteristics, including: If the difference between the thermal conductivity of the test crucible and the initial thermal conductivity within the test time, and the difference between the temperature uniformity of the test crucible and the initial temperature uniformity within the test time, are both within the set difference threshold range, the evaluation passes; otherwise, it fails.

4. A crucible detection method according to claim 3, characterized in that: The crucible testing device compares the obtained crucible evaluation index data of different test durations with the current test crucible evaluation index data to obtain the change trend of the test crucible, including: The crucible evaluation index data of different test durations are: the crucible evaluation index data after different cumulative test durations, obtaining the crucible evaluation index data after different cumulative test durations, respectively obtaining the data difference with the current test crucible evaluation index data, and sorting them according to the size of different cumulative test durations to obtain the change value of the latter data difference and the previous data difference. If the change value is within the set change value threshold, the crucible is in a stable trend; otherwise, the change value is greater than the set change value threshold, which is an aging trend.

5. A crucible detection method according to claim 4, characterized in that: The estimated remaining life of the test crucible is obtained according to the obtained aging trend, and the evaluation of the service life of the crucible is completed, including: When the aging trend appears, the corresponding cumulative test time is obtained, and the cumulative test time is the service life of the crucible.

6. A crucible detection device, characterized in that: A crucible detection method according to any one of claims 1 to 5 is applied, comprising a cloud data server, a crucible testing device, a communication device, a data processing device and a data storage device; The crucible testing device, communication device and data storage device are respectively connected to the data processing device; the cloud data server is communicatively connected to the communication device.

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