Method and system for monitoring homogeneity hazards of box-type graphitization furnace based on voltage monitoring

Abstract

The application provides a box type graphitization furnace homogeneity hidden danger monitoring method and system based on voltage monitoring, and relates to the technical field of graphitization furnace working condition monitoring.The application regards the cuboid space in each graphitization furnace filled with carbon materials as a resistance array composed of a plurality of standard volume graphite blocks in series and parallel connection, discovers the voltage uneven problem existing in the resistance array in time by uniformly arranging a plurality of voltage sampling points on the surface of the cuboid space in the furnace body, and obviously, the voltage unevenness represents the unevenness of the resistance of the above-mentioned virtual standard volume graphite blocks, and the discovered resistance abnormal area is the position of the homogeneity hidden danger in the production of the box type graphitization furnace. Therefore, the homogeneity hidden danger in the working process of the box type graphitization furnace is discovered and positioned through voltage monitoring, and then the front-line operators can be guided to take appropriate methods for intervention, so that the corresponding hidden danger can be avoided to affect the product quality or develop into a serious production safety accident.

Description

A method and system for monitoring homogeneity issues in box-type graphitization furnaces based on voltage monitoring. Technical Field

[0001] This invention relates to the field of graphitization furnace operating condition monitoring technology, specifically to a method and system for monitoring potential homogeneity issues in a box-type graphitization furnace based on voltage monitoring. Background Technology

[0002] In the production process of carbon materials for the negative electrode of automotive power batteries, the graphitization process mostly adopts box-type graphitization furnaces, with a single furnace producing about 100 tons of carbon materials and a furnace temperature exceeding 3000 degrees Celsius.

[0003] The following technical solutions exist for monitoring and controlling the operating conditions of this production process: Invention application CN115355727A and utility model application CN202305665U. The former uses the current of the graphitization furnace heating module as a key parameter to determine and control the heating conditions; the latter comprehensively monitors the power transmission parameters at the front end of the graphitization furnace to determine and analyze its operating conditions. In addition, in current production lines, temperature and other parameters at several locations on the furnace body are typically measured manually from pre-reserved measurement points on the outside of the furnace as supplementary criteria for monitoring operating conditions.

[0004] However, monitoring parameters such as current at the front end of the graphitization furnace or its heating module only indirectly monitors the overall power change of the furnace. It doesn't directly monitor the actual state of the carbon material being heated inside the furnace, inevitably leading to poor representativeness, low accuracy, and an inability to detect potential homogeneity issues. Manually monitoring parameters such as temperature of the carbon material inside the furnace suffers from long sampling cycles, low accuracy, and difficulty in detecting even minor homogeneity issues. These homogeneity issues refer to surface unevenness defects and internal porosity / cavitation problems in the carbon material, caused by heating module issues or during loading, resulting in uneven temperature during graphitization. Once this occurs, it can range from affecting product quality to causing serious production safety accidents such as furnace blowouts.

[0005] Because of the large furnace body and high temperature during the production process of box-type graphitization furnace, slight homogeneity hazards that cannot be detected by traditional methods will be amplified, and in severe cases, it may even lead to serious production safety accidents such as furnace blowout, causing significant economic losses. Summary of the Invention

[0006] (a) Technical problems to be solved

[0007] To address the shortcomings of existing technologies, this invention provides a method and system for monitoring homogeneity issues in box-type graphitization furnaces based on voltage monitoring, thus solving the technical problem of the inability to detect homogeneity issues in a timely manner.

[0008] (II) Technical Solution

[0009] To achieve the above objectives, the present invention provides the following technical solution:

[0010] A method for monitoring potential homogeneity issues in a box-type graphitization furnace based on voltage monitoring, comprising:

[0011] S1. Several voltage sampling points are set up inside a box-type graphitization furnace filled with carbon materials; voltage data between different voltage sampling points are acquired in real time according to the monitoring strategy.

[0012] S2. If the voltage data of each group are consistent in time or space, it is determined that there is no homogeneity risk; otherwise, it is determined that there is a homogeneity risk.

[0013] Preferably, S1 specifically includes:

[0014] S11. Assume that the box-type graphitization furnace is evenly divided into M segments along the longitudinal direction, and obtain M-1 virtual segmentation surfaces as monitoring surfaces;

[0015] S12. N voltage sampling points are evenly arranged on each monitoring surface, and N*(M-1)=2n;

[0016] S13. Take every 2 voltage sampling points located on different monitoring surfaces as 1 group, and obtain n(2n-1) voltage sampling groups;

[0017] S14. Select a certain number of voltage sampling groups from the n(2n-1) voltage sampling groups to construct one monitoring strategy;

[0018] S15. Based on multiple monitoring strategies, acquire voltage data between different voltage sampling points in real time.

[0019] Preferably, S15 specifically includes:

[0020] For each voltage sampling group in each of the monitoring strategies, the first voltage sampling point and the second voltage sampling point in the voltage sampling group are connected to the voltmeter to read the corresponding voltage data.

[0021] Preferably, multiple voltmeters with different ranges are set up. The principle for selecting voltmeters is: first, use the voltmeter with the largest range to perform the initial voltage measurement, and then select the voltmeter with the optimal range based on the initial measurement results.

[0022] Preferably, in step S2, the time consistency is determined using a historical deviation analysis method, specifically meaning:

[0023] If the voltage data acquired by the current voltage sampling group at the current moment deviates from the voltage data acquired by itself in the previous period within a preset range, it is determined to have time consistency.

[0024]

[0025] in, and S U These represent the mean and standard deviation of the voltage data of the voltage sampling group over a previous period, respectively; α represents the adjustable first preset parameter; and U represents the voltage data acquired in real time at the current moment.

[0026] Preferably, in step S2, the spatial consistency is determined using a synchronicity deviation analysis method, specifically meaning:

[0027] If the voltage data acquired in real time by the current voltage sampling group at the current moment deviates from the voltage data acquired in real time by other voltage sampling groups in the same monitoring strategy at the current moment within a preset range, it is determined to have spatial consistency; wherein, all voltage sampling groups in the monitoring strategy need to be evenly and symmetrically distributed in space;

[0028]

[0029] in, and S U′ These represent the mean and standard deviation of the voltage data acquired in real time by all voltage sampling groups within the aforementioned monitoring strategy at the current moment; β represents the adjustable second preset parameter; U ′ This indicates the voltage data acquired in real time by the voltage sampling group at the current moment.

[0030] A voltage monitoring-based system for monitoring the homogeneity issues of a box-type graphitization furnace includes a voltage sampling device, a sampling controller, and a server connected in sequence.

[0031] The voltage sampling device corresponds one-to-one with the voltage sampling point, and the voltage sampling point is set inside a box-type graphitization furnace filled with carbon material.

[0032] The sampling controller is used to receive instructions from the server, control the corresponding voltage sampling device to acquire voltage data between different voltage sampling points in real time according to the monitoring strategy, and determine whether the voltage data of each group are consistent in time or space. If so, it is determined that there is no homogeneity risk; otherwise, it is determined that there is a homogeneity risk.

[0033] Preferably, the sampling controller is used to control the corresponding voltage sampling device to acquire voltage data between different voltage sampling points in real time according to the monitoring strategy, specifically:

[0034] S11. Assume that the box-type graphitization furnace is evenly divided into M segments along the longitudinal direction, and obtain M-1 virtual segmentation surfaces as monitoring surfaces;

[0035] S12. N voltage sampling points are evenly arranged on each monitoring surface, and N*(M-1)=2n;

[0036] S13. Take every 2 voltage sampling points located on different monitoring surfaces as 1 group, and obtain n(2n-1) voltage sampling groups;

[0037] S14. Select a certain number of voltage sampling groups from the n(2n-1) voltage sampling groups to construct one monitoring strategy;

[0038] S15. Based on multiple monitoring strategies, acquire voltage data between different voltage sampling points in real time.

[0039] Preferably, the sampling controller is specifically used for:

[0040] For each voltage sampling group in each of the aforementioned monitoring strategies, the switches of the first voltage sampling point, the second voltage sampling point in the voltage sampling group, and the voltmeter are connected to read the corresponding voltage data. Multiple voltmeters with different ranges are set up. The principle for selecting the voltmeters is: first, use the voltmeter with the largest range for the initial voltage measurement, and then select the voltmeter with the optimal range based on the initial measurement results.

[0041] Preferably, the sampling controller uses a historical deviation analysis method to determine time consistency, specifically:

[0042] If the voltage data acquired by the current voltage sampling group at the current moment deviates from the voltage data acquired by itself in the previous period within a preset range, it is determined to have time consistency.

[0043]

[0044] in, and S U These represent the mean and standard deviation of the voltage data of the voltage sampling group over a previous period, respectively; α represents the adjustable first preset parameter; and U represents the voltage data acquired in real time at the current moment.

[0045] Preferably, the sampling controller uses a time-of-flight deviation analysis method to determine spatial consistency, specifically:

[0046] If the voltage data acquired in real time by the current voltage sampling group at the current moment deviates from the voltage data acquired in real time by other voltage sampling groups in the same monitoring strategy at the current moment within a preset range, it is determined to have spatial consistency; wherein, all voltage sampling groups in the monitoring strategy need to be evenly and symmetrically distributed in space;

[0047]

[0048] in, and S U′ These represent the mean and standard deviation of the voltage data acquired in real time by all voltage sampling groups within the aforementioned monitoring strategy at the current moment; β represents the adjustable second preset parameter; U ′ This indicates the voltage data acquired in real time by the voltage sampling group at the current moment.

[0049] (III) Beneficial Effects

[0050] This invention provides a method and system for monitoring the homogeneity issues of a box-type graphitization furnace based on voltage monitoring. Compared with existing technologies, it has the following advantages:

[0051] This invention treats the cuboid space inside each graphitization furnace filled with carbon material as a resistor array composed of several standard-volume graphite blocks connected in series and parallel. By uniformly setting several voltage sampling points on the surface of the cuboid space inside the furnace, voltage non-uniformity issues within this resistor array can be detected in a timely manner. Clearly, this voltage non-uniformity represents the non-uniform resistance of the aforementioned virtual standard-volume graphite blocks, and the detected areas of abnormal resistance are the locations of potential homogeneity issues in the production of this box-type graphitization furnace. Therefore, by detecting and locating potential homogeneity issues during the operation of the box-type graphitization furnace through voltage monitoring, appropriate intervention methods can be provided to guide frontline operators, preventing these issues from affecting product quality or escalating into serious production safety accidents. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 is a block diagram of a method for monitoring the homogeneity of a box-type graphitization furnace based on voltage monitoring, provided by an embodiment of the present invention.

[0054] Figure 2 is a diagram illustrating a voltage sampling point deployment example provided in an embodiment of the present invention.

[0055] Figure 3 is a schematic diagram of a sampling principle provided by an embodiment of the present invention (the dashed line represents the cuboid inside the furnace filled with carbon material, so all voltage sampling points can be considered to be connected).

[0056] Figure 4 is a schematic diagram of another sampling principle provided by an embodiment of the present invention (the dashed line represents the inner cuboid of the furnace filled with carbon material, so all voltage sampling points can be considered to be connected).

[0057] Figure 5 is an architecture diagram of a box-type graphitization furnace homogeneity hazard monitoring system based on voltage monitoring provided in an embodiment of the present invention. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are described clearly and completely. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0059] This application provides a method and system for monitoring homogeneity issues in a box-type graphitization furnace based on voltage monitoring, which solves the technical problem of being unable to detect homogeneity issues in a timely manner.

[0060] The technical solution in this application is to solve the above-mentioned technical problems, and the general idea is as follows:

[0061] In this embodiment of the invention, each cuboid space inside a graphitization furnace filled with carbon material is regarded as a resistor array composed of several standard-volume graphite blocks connected in series and parallel. This transforms the problem of monitoring homogeneity issues into a problem of ensuring the consistency of real-time voltage monitoring data among voltage monitoring points uniformly distributed on the surface of the cuboid space.

[0062] Specifically, by uniformly setting several voltage sampling points on the surface of the cuboid space inside the furnace, the problem of voltage non-uniformity in the resistor array can be detected in a timely manner. Obviously, this voltage non-uniformity represents the non-uniformity of the resistance of the aforementioned virtual standard volume graphite block, and the detected abnormal resistance area is the location of the homogeneity problem in the production of this box-type graphitization furnace.

[0063] Therefore, by monitoring voltage to detect and locate potential homogeneity issues during the operation of box-type graphitization furnaces, frontline operators can be guided to take appropriate intervention measures to prevent these issues from affecting product quality or developing into serious production safety accidents.

[0064] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0065] Example 1:

[0066] As shown in Figure 1, this embodiment of the invention provides a method for monitoring potential homogeneity issues in a box-type graphitization furnace based on voltage monitoring, including:

[0067] S1. Several voltage sampling points are set up inside a box-type graphitization furnace filled with carbon material; voltage data between different voltage sampling points are acquired in real time according to a monitoring strategy; specifically including:

[0068] S11. Assume that the box-type graphitization furnace is evenly divided into M segments along the longitudinal direction, and obtain M-1 virtual segmentation surfaces as monitoring surfaces.

[0069] S12. N voltage sampling points are evenly arranged on each monitoring surface, and N*(M-1)=2n is satisfied.

[0070] S13. Take every 2 voltage sampling points located on different monitoring surfaces as 1 group, and obtain n(2n-1) voltage sampling groups.

[0071] S14. Select a certain number of voltage sampling groups from the n(2n-1) voltage sampling groups to construct one monitoring strategy.

[0072] S15. According to multiple monitoring strategies, acquire voltage data between different voltage sampling points in real time; wherein for each voltage sampling group in each monitoring strategy, control the first voltage sampling point and the second voltage sampling point in the voltage sampling group to connect with the voltmeter and read the corresponding voltage data.

[0073] For example, in this embodiment of the invention, M = 12 and N = 2. According to N*(M-1) = 2n, n is taken as 11, and the number of voltage sampling groups is n(2n-1) = 231. The deployment of voltage sampling points is shown in Figure 2. Several monitoring strategies are given below:

[0074] Monitoring Strategy 1: (1,3), (3,5), (5,7)……(19,21)

[0075] Monitoring Strategy 2: (1,2), (3,4), (5,6)……(21,22)

[0076] Monitoring strategy 3: (1,4), (3,6), (5,8)……(19,22)

[0077] Monitoring strategy 4: (1,5), (3,7), (5,9)……(17,21)

[0078] ...

[0079] As shown in Figure 3, voltage sampling is performed in step S15 according to the following principles and control logic, making high-frequency automatic real-time voltage monitoring between monitoring points possible.

[0080] (1) Control the opening and closing of the switch between the first voltage sampling point Ai and Ci, the second voltage sampling point Cj and Bj (i,j∈[1,2], and i≠j) and the voltmeter, obtain the voltage data corresponding to the voltage sampling group formed by the voltage sampling points Ci and Cj, and then open all switches.

[0081] In particular, as shown in Figure 4, in order to make the monitoring data more accurate, multiple voltmeters with different ranges can be set. The principle for selecting voltmeters is: first use the voltmeter with the largest range for the initial voltage measurement, and then select the voltmeter with the best range based on the initial measurement results.

[0082] (2) Repeat step (1) until the voltage corresponding to the voltage sampling group included in all monitoring strategies has been measured.

[0083] S2. If the voltage data of each group are consistent in time or space, it is determined that there is no homogeneity risk; otherwise, it is determined that there is a homogeneity risk.

[0084] This step uses a historical deviation analysis method to determine time consistency, specifically:

[0085] If the voltage data acquired by the current voltage sampling group at the current moment deviates from the voltage data acquired by itself in the previous period within a preset range, it is determined to have time consistency.

[0086]

[0087] in, and S U These represent the mean and standard deviation of the voltage data of the voltage sampling group over a previous period, respectively; α represents the first preset parameter that can be adjusted, for example, 3; U represents the voltage data acquired in real time at the current moment.

[0088] Specifically, when U exceeds the above range, the system will generate an alarm event. The alarm event information includes the alarm time, the real-time voltage monitoring data U at the alarm time, and the name of the alarm voltage sampling group.

[0089] This step uses the synchronicity deviation analysis method to determine spatial consistency, specifically:

[0090] If the voltage data acquired in real time by the current voltage sampling group at the current moment deviates from the voltage data acquired in real time by other voltage sampling groups in the same monitoring strategy at the current moment within a preset range, it is determined to have spatial consistency. Among them, all voltage sampling groups in the monitoring strategy need to meet the requirements of uniform and symmetrical spatial distribution. Specifically, it means that the distance between the two voltage sampling points of each voltage sampling group is basically the same, so as to ensure that the data measured by all voltage sampling groups should be consistent under ideal working conditions.

[0091]

[0092] in, and S U′ These represent the mean and standard deviation of the voltage data acquired in real time by all voltage sampling groups within the aforementioned monitoring strategy at the current moment; β represents an adjustable second preset parameter, for example, 3; U ′ This indicates the voltage data acquired in real time by the voltage sampling group at the current moment.

[0093] In particular, when U ′ When the voltage exceeds the above range, the system will generate an alarm event. The alarm event information includes the alarm time and the real-time voltage data U at the time of the alarm. ′ Name of the alarm voltage sampling and monitoring group.

[0094] Example 2:

[0095] As shown in Figure 5, this embodiment of the invention provides a voltage monitoring-based system for monitoring the homogeneity issues of a box-type graphitization furnace. This system is an integrated hardware and software IoT monitoring system. The hardware system consists of a voltage sampling device, a sampling controller, and a server connected via wired or wireless communication. The software system includes embedded software deployed on the sampling controller and a data platform deployed on the server.

[0096] The voltage sampling device corresponds one-to-one with the voltage sampling point, which is set inside a box-type graphitization furnace filled with carbon material.

[0097] The sampling controller is used to receive instructions from the server and, according to the monitoring strategy, control the corresponding voltage sampling device to acquire voltage data between different voltage sampling points in real time; specifically:

[0098] S11. Assume that the box-type graphitization furnace is evenly divided into M segments along the longitudinal direction, and obtain M-1 virtual segmentation surfaces as monitoring surfaces;

[0099] S12. N voltage sampling points are evenly arranged on each monitoring surface, and N*(M-1)=2n;

[0100] S13. Take every 2 voltage sampling points located on different monitoring surfaces as 1 group, and obtain n(2n-1) voltage sampling groups;

[0101] S14. Select a certain number of voltage sampling groups from the n(2n-1) voltage sampling groups to construct one monitoring strategy;

[0102] S15. Based on multiple monitoring strategies, acquire voltage data between different voltage sampling points in real time.

[0103] For example, in this embodiment of the invention, M = 12 and N = 2. According to N*(M-1) = 2n, n is taken as 11, and the number of voltage sampling groups is n(2n-1) = 231. The deployment of voltage sampling points is shown in Figure 2. The following are several monitoring strategies for configuring the data platform:

[0104] Monitoring Strategy 1: (1,3), (3,5), (5,7)……(19,21)

[0105] Monitoring Strategy 2: (1,2), (3,4), (5,6)……(21,22)

[0106] Monitoring strategy 3: (1,4), (3,6), (5,8)……(19,22)

[0107] Monitoring strategy 4: (1,5), (3,7), (5,9)……(17,21)

[0108] ...

[0109] As shown in Figure 3, voltage sampling is performed in step S15 according to the following principles and control logic, making high-frequency automatic real-time voltage monitoring between monitoring points possible.

[0110] (1) Control the opening and closing of the switch between the first voltage sampling point Ai and Ci, the second voltage sampling point Cj and Bj (i,j∈[1,2], and i≠j) and the voltmeter, obtain the voltage data corresponding to the voltage sampling group formed by the voltage sampling points Ci and Cj, and then open all switches.

[0111] In particular, as shown in Figure 4, in order to make the monitoring data more accurate, multiple voltmeters with different ranges can be set. The principle for selecting voltmeters is: first use the voltmeter with the largest range for the initial voltage measurement, and then select the voltmeter with the best range based on the initial measurement results.

[0112] (2) Repeat step (1) until the voltage corresponding to the voltage sampling group included in all monitoring strategies has been measured.

[0113] While acquiring voltage sampling data in real time, the sampling controller can also perform simple statistical analysis on the real-time sampling data according to the settings in its embedded software. This includes calculating the sum (or mean) and standard deviation (or variance) after a preset time interval, and periodically uploading these statistical data to the data platform. For example, the sampling controller can also be used to determine whether the voltage data sets are consistent in time or space. If so, it is determined that there is no homogeneity issue; otherwise, it is determined that there is a homogeneity issue.

[0114] Specifically, the sampling controller uses a historical deviation analysis method to determine time consistency, which specifically means:

[0115] If the voltage data acquired by the current voltage sampling group at the current moment deviates from the voltage data acquired by itself in the previous period within a preset range, it is determined to have time consistency.

[0116]

[0117] in, and S U These represent the mean and standard deviation of the voltage data of the voltage sampling group over a previous period, respectively; α represents the first preset parameter that can be adjusted, for example, 3; U represents the voltage data acquired in real time at the current moment.

[0118] Specifically, when U exceeds the above range, the system will generate an alarm event and upload it to the data platform immediately. The alarm event information includes the alarm time, the real-time voltage monitoring data U at the time of the alarm, and the name of the alarm voltage sampling group.

[0119] Specifically, the sampling controller uses a time-of-flight deviation analysis method to determine spatial consistency, which specifically means:

[0120] If the voltage data acquired in real time by the current voltage sampling group at the current moment deviates from the voltage data acquired in real time by other voltage sampling groups in the same monitoring strategy at the current moment within a preset range, it is determined to have spatial consistency. Among them, all voltage sampling groups in the monitoring strategy need to be evenly and symmetrically distributed in space. Specifically, this means that the distance between the two voltage sampling points of each voltage sampling group is basically the same, so as to ensure that the data measured by all voltage sampling groups should be consistent under ideal working conditions.

[0121]

[0122] in, and S U′These represent the mean and standard deviation of the voltage data acquired in real time by all voltage sampling groups within the aforementioned monitoring strategy at the current moment; β represents an adjustable second preset parameter, for example, 3; U ′ This indicates the voltage data acquired in real time by the voltage sampling group at the current moment.

[0123] In particular, when U ′ When the above range is exceeded, the system will generate an alarm event and upload it to the data platform immediately. The alarm event information includes the alarm time, the real-time voltage data U at the time of the alarm, and other relevant information. ′ Name of the alarm voltage sampling and monitoring group.

[0124] In summary, compared with existing technologies, it has the following beneficial effects:

[0125] 1. The accuracy, precision and efficiency of monitoring the operating conditions of the box-type graphitization furnace have been greatly improved. It can promptly and efficiently detect and locate related homogeneity hazards, thereby improving the level of intelligent production and production management efficiency.

[0126] 2. It improved the quality control level of the box-type graphitization furnace production process and improved product quality.

[0127] 3. It reduces the possibility of production safety accidents such as furnace spraying during the production process of box-type graphitization furnace, and improves the level of production safety.

[0128] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0129] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for monitoring the homogeneity issues of a box-type graphitization furnace based on voltage monitoring, characterized in that, include: S1. Several voltage sampling points are set up inside a box-type graphitization furnace filled with carbon material. According to the monitoring strategy, voltage data between different voltage sampling points is acquired in real time; S2. If the voltage data of each group are consistent in time or space, it is determined that there is no risk of homogeneity. Otherwise, it is determined that there is a potential homogeneity problem; S1 specifically includes: S11, assuming that the box-type graphitization furnace is uniformly divided into M segments along the longitudinal direction, and M-1 virtual segmentation surfaces are obtained as monitoring surfaces; S12, N voltage sampling points are uniformly arranged on each monitoring surface, and N*(M-1)=2n are satisfied; S13, taking every 2 voltage sampling points located on different monitoring surfaces as 1 group, n (2n-1) voltage sampling groups are obtained; S14, in the n (2n-1) voltage sampling groups, a certain number of voltage sampling groups are selected to construct one monitoring strategy; S15, according to multiple monitoring strategies, the voltage data between different voltage sampling points are obtained in real time.

2. The method for monitoring homogeneity issues in a box-type graphitization furnace based on voltage monitoring as described in claim 1, characterized in that, S15 specifically includes: for each voltage sampling group in each of the monitoring strategies, controlling the first voltage sampling point and the second voltage sampling point in the voltage sampling group to connect with the voltmeter and reading the corresponding voltage data.

3. The method for monitoring the homogeneity issues of a box-type graphitization furnace based on voltage monitoring as described in claim 2, characterized in that, Set up multiple voltmeters with different ranges. The principle for selecting voltmeters is: first, use the voltmeter with the largest range for the initial voltage measurement, and then select the voltmeter with the optimal range based on the initial measurement results.

4. The method for monitoring homogeneity issues in a box-type graphitization furnace based on voltage monitoring as described in claim 1, characterized in that, The S2 method uses a time-based deviation analysis to determine time consistency. Specifically, if the voltage data acquired by the current voltage sampling group at the current moment has a deviation within a preset range compared to the voltage data acquired by itself in the previous period, it is determined to have time consistency. in, and These represent the mean and standard deviation of the voltage data for the previous period of the voltage sampling group, respectively. This indicates the first preset parameter that can be adjusted. This indicates the voltage data acquired in real time at the current moment.

5. The method for monitoring homogeneity issues in a box-type graphitization furnace based on voltage monitoring as described in claim 1, characterized in that, The synchronous deviation analysis method used in S2 to determine spatial consistency specifically means that if the voltage data acquired in real time by the current voltage sampling group at the current moment deviates from the voltage data acquired in real time by other voltage sampling groups in the same monitoring strategy at the current moment within a preset range, it is determined to have spatial consistency; wherein, all voltage sampling groups in the monitoring strategy need to be evenly and symmetrically distributed in space. in, and These represent the mean and standard deviation of the voltage data acquired in real time by all voltage sampling groups within the aforementioned monitoring strategy at the current moment; This indicates an adjustable second preset parameter; This indicates the voltage data acquired in real time by the voltage sampling group at the current moment.

6. A monitoring system for potential homogeneity issues in a box-type graphitization furnace based on voltage monitoring, characterized in that, The system includes a voltage sampling device, a sampling controller, and a server connected in sequence. Each voltage sampling device corresponds to a voltage sampling point, which is located inside a box-type graphitization furnace filled with carbon material. The sampling controller receives instructions from the server and, according to a monitoring strategy, controls the corresponding voltage sampling device to acquire voltage data between different voltage sampling points in real time. It also determines whether the voltage data sets are consistent in time or space; if so, it determines there is no homogeneity issue; otherwise, it determines there is a homogeneity issue. The sampling controller controls the corresponding voltage sampling device to acquire different voltage data in real time according to the monitoring strategy. The voltage data between sampling points specifically refers to: S11, assuming the box-type graphitization furnace is evenly divided into M segments along the longitudinal direction, obtaining M-1 virtual segmentation surfaces as monitoring surfaces; S12, evenly arranging N voltage sampling points on each monitoring surface, satisfying N*(M-1)=2n; S13, taking every 2 voltage sampling points located on different monitoring surfaces as 1 group, obtaining n(2n-1) voltage sampling groups; S14, selecting a certain number of voltage sampling groups from the n(2n-1) voltage sampling groups to construct one monitoring strategy; S15, acquiring voltage data between different voltage sampling points in real time according to multiple monitoring strategies.

7. The voltage monitoring-based homogeneity monitoring system for a box-type graphitization furnace as described in claim 6, characterized in that, The sampling controller is specifically used for: for each voltage sampling group in each monitoring strategy, controlling the first voltage sampling point, the second voltage sampling point in the voltage sampling group to be connected to the switch of the voltmeter, and reading the corresponding voltage data; and / or setting multiple voltmeters with different ranges, the selection principle of the voltmeter is: first use the voltmeter with the largest range to perform the initial voltage measurement, and select the voltmeter with the best range according to the initial measurement result.

8. The voltage monitoring-based homogeneity monitoring system for a box-type graphitization furnace as described in claim 6, characterized in that, The sampling controller uses a historical deviation analysis method to determine time consistency. Specifically, if the voltage data acquired by the current voltage sampling group at the current moment has a deviation within a preset range compared with the voltage data acquired by itself in the previous period, it is determined to have time consistency. in, and These represent the mean and standard deviation of the voltage data for the previous period of the voltage sampling group, respectively. This indicates the first preset parameter that can be adjusted. This refers to the voltage data acquired in real time at the current moment; and / or the sampling controller uses a synchronous deviation analysis method to determine spatial consistency, specifically: if the voltage data acquired in real time by the current voltage sampling group at the current moment deviates from the voltage data acquired in real time by other voltage sampling groups in the same monitoring strategy at the current moment within a preset range, it is determined to have spatial consistency; wherein, all voltage sampling groups in the monitoring strategy need to be evenly and symmetrically distributed in space; in, and These represent the mean and standard deviation of the voltage data acquired in real time by all voltage sampling groups within the aforementioned monitoring strategy at the current moment; This indicates an adjustable second preset parameter; This indicates the voltage data acquired in real time by the voltage sampling group at the current moment.

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