Automatic detection system of graphite electrode

Abstract

The invention discloses an automatic detection system of a graphite electrode, and relates to the field of graphite electrode detection.The automatic detection system of the graphite electrode comprises an electrode basic detection module, an electrode shutdown detection module and an electrode scrap detection module. Judging whether the graphite electrode has a fault or not, if the graphite electrode has the fault, carrying out shutdown detection, judging whether the graphite electrode needs to be replaced or not through an electrode shutdown detection module, and if the graphite electrode needs to be replaced, carrying out cutting detection and analyzing to obtain the cuttable area of the graphite electrode; according to the graphite electrode detection method, the automation level of graphite electrode detection is improved, the detection error and cost are reduced, and the quality control of the graphite electrode and the efficient utilization of resources are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of graphite electrode detection, and in particular to an automatic detection system for graphite electrodes. Background Art

[0002] In the current era of big data, the technology of automatic detection system for graphite electrodes is constantly improving. In order to ensure the quality and safety of graphite electrodes in the production process, the detection of graphite electrodes in production has become a key link in the same type of detection system. The automatic detection system not only affects the safety of graphite electrodes, but is also directly related to the market sales trend of the product. Therefore, it is particularly important to conduct in-depth analysis of various detection indicators of graphite electrodes.

[0003] Prior art, such as the invention patent application with announcement number CN117783679B, discloses an automatic detection system for graphite electrodes, which relates to the field of detection technology. The present invention includes an information acquisition module, a conductivity testing module, a conductivity analysis module, a hardness testing module, a hardness analysis module, a flame retardancy testing module, a flame retardancy analysis module, and an early warning terminal. The conductivity of the graphite electrode is tested, and the preferred current of the graphite electrode is obtained by analysis, and then the hardness and flame retardancy of the graphite electrode are tested to determine whether the hardness and flame retardancy of the graphite electrode are qualified. This solves the limitations existing in the feasibility analysis process of the current graphite electrode detection system development, realizes the comprehensive and objective analysis of the feasibility of the graphite electrode detection system, and ensures the reliability and authenticity of the analysis results of the graphite electrode detection system, thereby providing a reliable basis for the subsequent targeted management and balanced development of the graphite electrode detection system.

[0004] In view of the above scheme, the present invention finds that the above technology has the following technical problems: 1. The above scheme only collects data of the graphite electrode through the test chamber, which requires a specific detection environment. It cannot perform detection during the use of the graphite electrode, and cannot detect the graphite electrode in time, and thus cannot timely determine whether the graphite electrode is faulty and replace it, which may cause production failures, resulting in the production environment temperature failing to reach the standard temperature, causing production waste and increasing production risks.

[0005] 2. The above scheme only determines whether the various properties of the graphite electrode are qualified. It does not collect specific surface fault data and internal fault data to analyze the remaining volume inside the graphite electrode. At the same time, it does not judge whether the graphite electrode is scrapped through the remaining volume inside the graphite electrode and the number of times the graphite electrode is cut in the database. It only determines whether it is qualified, which wastes the detection cost of the graphite electrode and easily causes waste of graphite electrodes. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide an automated detection system for graphite electrodes.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an automatic detection system for graphite electrodes, comprising the following modules: an electrode basic detection module, which is used to collect infrared data and conductivity data of the graphite electrode during the use of the graphite electrode, analyze the infrared data of the graphite electrode to obtain the temperature index of the graphite electrode, analyze the conductivity data of the graphite electrode to obtain the conductivity index of the graphite electrode, and judge whether the graphite electrode is faulty according to the temperature index and conductivity index of the graphite electrode. If the graphite electrode is faulty, production is stopped for shutdown detection.

[0008] The electrode shutdown detection module is used to collect graphite electrode property data to determine whether the graphite electrode needs to be replaced. After the graphite electrode is replaced, the graphite electrode cutting data is collected and analyzed to obtain the remaining volume of the graphite electrode, and to remind the staff to cut the graphite electrode.

[0009] The electrode scrap detection module is used to analyze the historical data of graphite electrode cutting in the database according to the remaining volume of the graphite electrode to obtain the scrap index of the graphite electrode. If the scrap index of the graphite electrode is greater than or equal to the preset scrap index, it indicates that the graphite electrode can be cut. If the scrap index of the graphite electrode is less than the preset scrap index, the staff is prompted to scrap the graphite electrode.

[0010] Preferably, the infrared data of the graphite electrode is analyzed, and the specific analysis process is as follows: the average grayscale of each pixel point of each normal graphite electrode at each historical working temperature in the database is calculated to obtain the standard grayscale of each normal graphite electrode corresponding to each historical working temperature, and the maximum standard grayscale and the minimum standard grayscale of the normal graphite electrode at each historical working temperature are selected as the upper limit and the lower limit of the normal grayscale range of each historical working temperature, respectively, to obtain the normal grayscale range of each historical working temperature; if the working temperature at a certain time point is equal to a certain historical working temperature, then the normal grayscale range at that time point is the normal grayscale range of the historical working temperature, to obtain the normal grayscale range at each time point.

[0011] If the grayscale of a certain pixel at a certain time point does not belong to the normal grayscale interval of the time point, it indicates that the pixel is an abnormal pixel. In this way, the abnormal pixels at each time point are obtained, and the number of abnormal pixels at each time point is obtained by statistics. Adjacent abnormal pixels are recorded as the same abnormal pixel block, and the number of abnormal pixels of each abnormal pixel block at each time point is obtained by statistics. If the number of abnormal pixels of an abnormal pixel block is greater than the number of abnormal pixels of a preset standard abnormal pixel block, it indicates that the abnormal pixel block is a faulty pixel block, and the number of faulty pixel blocks is obtained by statistics. If the number of abnormal pixels at a certain time point is greater than the preset standard number of abnormal pixels, or the number of faulty pixel blocks at the time point is greater than the preset standard number of faulty pixel blocks, the time point is recorded as a temperature abnormality time point, and the number of occurrences A of the temperature abnormality time point is obtained by statistics.

[0012] If a group of adjacent time points are all temperature abnormality time points, the time period between the group of adjacent time points is recorded as the temperature abnormality time period, so as to obtain each temperature abnormality time period, and count each temperature abnormality time period to obtain the number of occurrences B of the temperature abnormality time period.

[0013] Substitute the number of occurrences of abnormal temperature time points and abnormal temperature time periods into the temperature index calculation formula The temperature index of the graphite electrode is obtained , and The standard occurrence times of the preset temperature abnormal time points and the standard occurrence times of the temperature abnormal time periods are respectively and are the weight factors of the number of occurrences of the preset temperature anomaly time points and the weight factors of the number of occurrences of the temperature anomaly time periods, respectively. , , .

[0014] Preferably, the graphite electrode conductivity data is analyzed, and the specific analysis process is as follows: the conductivity of each normal graphite electrode at each historical working voltage is obtained from the database, and the maximum conductivity and the minimum conductivity of the normal graphite electrode at each historical working voltage are selected and recorded as the upper limit and the lower limit of the normal conductivity interval of each historical working voltage, respectively, so as to obtain the normal grayscale interval of each historical working conductivity; if the working voltage at a certain time point is equal to a certain historical working voltage, then the normal conductivity interval at this time point is the normal conductivity interval of the historical working voltage, so as to obtain the normal conductivity interval at each time point; if the conductivity at a certain time point does not belong to the normal conductivity interval, then the time point is a time point of conductivity abnormality, and each time point of conductivity abnormality is counted to obtain the number of occurrences C of the conductivity abnormal time point; if a group of adjacent time points are all conductivity abnormal time points, then the time period between the group of adjacent time points is recorded as the conductivity abnormal time period, so as to obtain each conductivity abnormal time period, and each conductivity abnormal time period is counted to obtain the number of occurrences D of each conductivity abnormal time period; Substitute the number of times the conductivity abnormal time point and the conductivity abnormal time period occur into the conductivity fault index calculation formula The conductivity fault index of the graphite electrode is obtained , and are the standard occurrence times of the preset conductivity abnormal time points and the standard occurrence times of the conductivity abnormal time periods, respectively. and are respectively the weight factors of the number of occurrences of the preset conductivity abnormal time points and the weight factors of the number of occurrences of the conductivity abnormal time periods, , , .

[0015] Preferably, the graphite electrode cutting history data in the database is analyzed, and the specific analysis process is as follows: the graphite electrode cutting history data includes the cutting times of the graphite electrode, the cutting times of each scrapped graphite electrode and the residual volume of each scrapped graphite electrode, and the average cutting times of each scrapped graphite electrode is calculated to obtain the standard scrap cutting times. , calculate the average value of the remaining volume of each scrapped graphite electrode to obtain the standard remaining volume .

[0016] Substitute the number of shearing times, standard scrap shearing times and standard scrap volume of the graphite electrode into the scrap index calculation formula The scrap index of graphite electrode is obtained , E and F are the shearing times and residual volume of the graphite electrode, and are the weight factors of the preset number of cuts and the remaining volume, , , .

[0017] The beneficial effects of the present invention are as follows: the above invention collects graphite electrode infrared data and graphite electrode conductivity data of the graphite electrode during the use of the graphite electrode, and then analyzes to obtain the temperature index and conductivity index of the graphite electrode, so as to determine whether the graphite electrode is faulty. When the graphite electrode is faulty, a shutdown detection is performed to collect the density and hardness of the graphite electrode, and then determine whether it needs to be replaced. When the graphite electrode is replaced, the cutting data of the graphite electrode is collected, and the cutting data of the graphite electrode is analyzed to obtain the cutting area of ​​the graphite electrode, so as to determine whether it is scrapped based on the cutting area and historical cutting data of the graphite electrode. On the one hand, the present invention expands the detection environment of the graphite electrode by performing detection during the production process to determine whether it needs to be shut down, increases the adaptability of the detection system, and reduces production cost losses. On the other hand, the present invention improves the utilization rate of graphite resources by analyzing the cutting and scrapping of graphite electrodes. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] according to Figure 1 As shown, the present invention provides an automatic detection system for graphite electrodes, including the following modules: an electrode basic detection module, an electrode shutdown detection module, an electrode scrap detection module and a database.

[0022] The electrode basic detection module is connected to the database and the electrode downtime detection module respectively, and the electrode scrap detection module is connected to the electrode downtime detection module.

[0023] The basic electrode detection module is used to collect infrared data and conductivity data of the graphite electrode during the use of the graphite electrode, analyze the infrared data of the graphite electrode to obtain the temperature index of the graphite electrode, analyze the conductivity data of the graphite electrode to obtain the conductivity index of the graphite electrode, and judge whether the graphite electrode is faulty based on the temperature index and conductivity index of the graphite electrode. If the graphite electrode is faulty, production is stopped for shutdown detection.

[0024] In a specific embodiment, the graphite electrode infrared data and graphite electrode conductivity data are collected, and the specific collection process is as follows: the graphite electrode infrared data includes the grayscale and operating temperature of each pixel at each time point, and the graphite electrode conductivity data includes the conductivity and operating voltage at each time point.

[0025] During the use of the electric furnace, an infrared detector is used to collect infrared images at each time point, and the grayscale of each pixel at each time point is obtained from the infrared image at each time point. At the same time, the working temperature at each time point is collected through a temperature probe.

[0026] During the use of the electric furnace, a conductivity meter is used to collect the conductivity at each time point to obtain the conductivity at each time point, and a voltage meter is used to collect the working voltage at each time point.

[0027] In a specific embodiment, the infrared data of the graphite electrode is analyzed, and the specific analysis process is as follows: the average grayscale of each pixel point of each normal graphite electrode at each historical working temperature in the database is calculated to obtain the standard grayscale of each normal graphite electrode corresponding to each historical working temperature, and the maximum standard grayscale and the minimum standard grayscale of the normal graphite electrode at each historical working temperature are selected as the upper limit and lower limit of the normal grayscale range of each historical working temperature, respectively, to obtain the normal grayscale range of each historical working temperature; if the working temperature at a certain time point is equal to a certain historical working temperature, then the normal grayscale range at that time point is the normal grayscale range of the historical working temperature, to obtain the normal grayscale range at each time point.

[0028] If the grayscale of a certain pixel at a certain time point does not belong to the normal grayscale interval of the time point, it indicates that the pixel is an abnormal pixel, so as to obtain the abnormal pixels at each time point, and obtain the number of abnormal pixels at each time point by statistics, and record the adjacent abnormal pixels as the same abnormal pixel block, and obtain the number of abnormal pixels of each abnormal pixel block at each time point by statistics, if the number of abnormal pixels of an abnormal pixel block is greater than the number of abnormal pixels of a preset standard abnormal pixel block, it indicates that the abnormal pixel block is a faulty pixel block, and obtain the number of faulty pixel blocks by statistics, if the number of abnormal pixels at a certain time point is greater than the preset standard number of abnormal pixels, or the number of faulty pixel blocks at the time point is greater than the preset standard number of faulty pixel blocks, the time point is recorded as a temperature abnormal time point, and the number of occurrences A of the temperature abnormal time point is obtained by statistics; If a group of adjacent time points are all temperature abnormality time points, the time period between the group of adjacent time points is recorded as the temperature abnormality time period, so as to obtain each temperature abnormality time period, and count each temperature abnormality time period to obtain the number of occurrences B of the temperature abnormality time period.

[0029] Substitute the number of occurrences of abnormal temperature time points and abnormal temperature time periods into the temperature index calculation formula The temperature index of the graphite electrode is obtained , and The standard occurrence times of the preset temperature abnormal time points and the standard occurrence times of the temperature abnormal time periods are respectively and are the weight factors of the number of occurrences of the preset temperature anomaly time points and the weight factors of the number of occurrences of the temperature anomaly time periods, respectively. , , .

[0030] It should be noted that the number of occurrences of temperature abnormal time points and temperature abnormal time periods of each normal graphite electrode in the database are averaged to obtain the standard number of occurrences of temperature abnormal time points and the standard number of occurrences of temperature abnormal time periods, and the minimum number of occurrences a of temperature abnormal time points and the minimum number of occurrences b of temperature abnormal time periods of faulty graphite electrodes are obtained from the database. , .

[0031] In a specific embodiment, the graphite electrode conductivity data is analyzed, and the specific analysis process is as follows: the conductivity of each normal graphite electrode at each historical working voltage is obtained from the database, and the maximum conductivity and the minimum conductivity of the normal graphite electrode at each historical working voltage are selected and recorded as the upper limit and the lower limit of the normal conductivity interval of each historical working voltage, respectively, so as to obtain the normal grayscale interval of each historical working conductivity; if the working voltage at a certain time point is equal to a certain historical working voltage, then the normal conductivity interval at this time point is the normal conductivity interval of the historical working voltage, so as to obtain the normal conductivity interval of each time point; if the conductivity at a certain time point does not belong to the normal conductivity interval, then the time point is a time point of conductivity abnormality, and the time points of each conductivity abnormality are counted to obtain the number of occurrences C of the conductivity abnormal time point; if a group of adjacent time points are all conductivity abnormal time points, then the time period between the group of adjacent time points is recorded as the conductivity abnormal time period, so as to obtain each conductivity abnormal time period, and the time period of each conductivity abnormality is counted to obtain the number of occurrences D of each conductivity abnormal time period.

[0032] Substitute the number of times the conductivity abnormal time point and the conductivity abnormal time period occur into the conductivity fault index calculation formula The conductivity fault index of the graphite electrode is obtained , and are the standard occurrence times of the preset conductivity abnormal time points and the standard occurrence times of the conductivity abnormal time periods, respectively. and are respectively the weight factors of the number of occurrences of the preset conductivity abnormal time points and the weight factors of the number of occurrences of the conductivity abnormal time periods, , , .

[0033] It should be noted that the number of occurrences of abnormal conductivity time points and abnormal conductivity time periods of each normal graphite electrode in the database are averaged to obtain the standard number of occurrences of abnormal conductivity time points and the standard number of occurrences of abnormal conductivity time periods, and the minimum number of occurrences c of abnormal conductivity time points and the minimum number of occurrences d of abnormal conductivity time periods of the faulty graphite electrode are obtained from the database. , .

[0034] In a specific embodiment, the specific judgment process of judging whether the graphite electrode has a fault is as follows: obtaining various temperature indexes and various conductivity fault indexes of the normal use of the graphite electrode from a database, and recording the maximum temperature index and the maximum conductivity fault index of the normal use of the graphite electrode as the standard temperature index and the standard conductivity fault index of the graphite electrode respectively; if the temperature index of the graphite electrode is greater than or equal to the standard temperature index and the conductivity fault index is greater than or equal to the standard conductivity fault index, it indicates that the graphite electrode has not a fault; if the temperature index of the graphite electrode is greater than the standard temperature index or the conductivity fault index is greater than the standard conductivity fault index, it indicates that the graphite electrode has a fault.

[0035] It should be noted that this judgment is to prevent graphite electrodes from affecting production, so the data collected are related to the properties of graphite electrodes in production. Conductivity will affect production costs, and temperature will affect production rates.

[0036] The electrode shutdown detection module is used to collect graphite electrode property data to determine whether the graphite electrode needs to be replaced. After the graphite electrode is replaced, the graphite electrode cutting data is collected and analyzed to obtain the remaining volume of the graphite electrode, and to remind the staff to cut the graphite electrode.

[0037] It should be noted that cutting refers to processing the faulty graphite electrode, such as washing and cutting, to generate a smaller graphite electrode, and recycling the smaller graphite electrode.

[0038] In a specific embodiment, the graphite electrode property data is collected, and the specific collection process is as follows: the density of the graphite electrode is measured by a low-pressure exhaust method, and the hardness of the graphite electrode is measured by a rebound method.

[0039] In a specific embodiment, the determination of whether the graphite electrode needs to be replaced is carried out through the following specific collection and judgment process: the graphite electrode attribute data includes the density of the graphite electrode and the hardness of each collection point. If the density of the graphite electrode belongs to the standard density range of a normal graphite electrode and the hardness of each collection point belongs to the standard hardness range of a normal graphite electrode, it indicates that the graphite electrode does not need to be replaced. If the density of the graphite electrode does not belong to the standard density range of a normal graphite electrode or the hardness of a certain collection point does not belong to the standard hardness range of a normal graphite electrode, it indicates that the graphite electrode needs to be replaced.

[0040] It should be noted that this judgment is to detect the material of graphite. When the material of graphite changes too much, it will affect production and need to be replaced.

[0041] In a specific embodiment, the graphite electrode shearing data is collected, and the specific collection process is as follows: the graphite electrode shearing data includes the number and depth of each surface defect of the graphite electrode, the location of the internal defects and the volume of the internal defects.

[0042] The graphite electrode is cleaned and dried, and then the surface image of the graphite electrode is collected through a camera. The number and depth of each surface defect of the graphite electrode are obtained from the surface image of the graphite electrode, and the position and volume of the internal defects are obtained through an internal defect detector.

[0043] In a specific embodiment, the graphite electrode cutting data is analyzed, and the specific analysis process is as follows: the depth of the maximum number of surface defects of the graphite electrode is selected as the cutting depth of the graphite electrode, the historical cutting depth and surface recovery rate of each cutting are obtained from the database, and the surface recovery rate of each historical cutting depth is statistically obtained. The minimum surface recovery rate of each historical cutting depth is recorded as the basic surface recovery rate of each historical cutting depth. If the cutting depth of the graphite electrode is equal to a certain historical cutting depth, then the surface recovery rate of the graphite electrode is equal to the basic surface recovery rate corresponding to the historical cutting depth. The volume of the graphite electrode is multiplied by the surface recovery rate to obtain the surface cutting residual volume of the graphite electrode.

[0044] The internal recovery rates of the historical volumes in each region are obtained from the database, and the internal recovery rates of the volumes corresponding to the internal defects at each position are calculated by the average value to obtain the basic internal recovery rates of the volumes corresponding to the internal defects at each position. If the position of the internal defects of the graphite electrode belongs to a certain region, and the volume of the internal defects of the graphite electrode is equal to a historical volume in the region, then the internal recovery rate of the graphite electrode is equal to the basic internal recovery rate of the historical volume in the region. The residual volume of the surface shearing of the graphite electrode is multiplied by the basic internal recovery rate to obtain the residual volume of the graphite electrode.

[0045] The electrode scrap detection module is used to analyze the historical data of graphite electrode cutting in the database according to the remaining volume of the graphite electrode to obtain the scrap index of the graphite electrode. If the scrap index of the graphite electrode is greater than or equal to the preset scrap index, it indicates that the graphite electrode can be cut. If the scrap index of the graphite electrode is less than the preset scrap index, the staff is prompted to scrap the graphite electrode.

[0046] It should be noted that scrapping refers to the scrapping of graphite electrodes. After the graphite electrode is cut, if the remaining volume of the graphite electrode meets the production needs, the graphite electrode can continue to be used as a graphite electrode on other devices. If the remaining volume of the graphite electrode cannot meet the production needs, the graphite electrode is scrapped, but the graphite can still be recycled.

[0047] In a specific embodiment, the graphite electrode cutting history data in the database is analyzed, and the specific analysis process is as follows: the graphite electrode cutting history data includes the cutting times of the graphite electrode, the cutting times of each scrapped graphite electrode and the residual volume of each scrapped graphite electrode, and the average cutting times of each scrapped graphite electrode is calculated to obtain the standard scrap cutting times , calculate the average value of the remaining volume of each scrapped graphite electrode to obtain the standard remaining volume .

[0048] Substitute the number of shearing times, standard scrap shearing times and standard scrap volume of the graphite electrode into the scrap index calculation formula The scrap index of graphite electrode is obtained , E and F are the shearing times and residual volume of the graphite electrode, and are the weight factors of the preset number of cuts and the remaining volume, , , .

[0049] A database is used to store the grayscale of each pixel of each normal graphite electrode corresponding to each historical working temperature, each temperature index of normal use of the graphite electrode, each conductivity fault index of normal use of the graphite electrode, the historical cutting depth of each cutting, the surface recovery rate of each cutting, the internal recovery rate of each historical volume corresponding to the internal defect at each position, the number of cuttings of the graphite electrode, the number of cuttings of each scrapped graphite electrode and the remaining volume of each scrapped graphite electrode.

[0050] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. An automated detection system for graphite electrodes, characterized in that: Includes the following modules: The basic electrode detection module is used to collect infrared data and conductivity data of the graphite electrode during the use of the graphite electrode, analyze the infrared data of the graphite electrode to obtain the temperature index of the graphite electrode, analyze the conductivity data of the graphite electrode to obtain the conductivity index of the graphite electrode, and judge whether the graphite electrode is faulty according to the temperature index and conductivity index of the graphite electrode. If the graphite electrode is faulty, the production is stopped for shutdown detection; The electrode shutdown detection module is used to collect graphite electrode property data to determine whether the graphite electrode needs to be replaced. After the graphite electrode is replaced, the graphite electrode cutting data is collected and analyzed to obtain the remaining volume of the graphite electrode, and the staff is reminded to cut the graphite electrode. The electrode scrap detection module is used to analyze the historical data of graphite electrode cutting in the database according to the remaining volume of the graphite electrode to obtain the scrap index of the graphite electrode. If the scrap index of the graphite electrode is greater than or equal to the preset scrap index, it indicates that the graphite electrode can be cut. If the scrap index of the graphite electrode is less than the preset scrap index, the staff is prompted to scrap the graphite electrode.

2. The automatic detection system for graphite electrodes according to claim 1, characterized in that: The specific collection process of collecting graphite electrode infrared data and graphite electrode conductivity data is as follows: The graphite electrode infrared data includes the grayscale and operating temperature of each pixel at each time point, and the graphite electrode conductivity data includes the conductivity and operating voltage at each time point; During the use of the electric furnace, an infrared detector is used to collect infrared images at each time point, and the grayscale of each pixel at each time point is obtained from the infrared image at each time point. At the same time, the working temperature at each time point is collected through a temperature probe; During the use of the electric furnace, a conductivity meter is used to collect the conductivity at each time point to obtain the conductivity at each time point, and a voltage meter is used to collect the working voltage at each time point.

3. The automatic detection system for graphite electrodes according to claim 2, characterized in that: The infrared data of the graphite electrode is analyzed, and the specific analysis process is as follows: The average grayscale of each pixel of each normal graphite electrode at each historical working temperature in the database is calculated to obtain the standard grayscale of each normal graphite electrode corresponding to each historical working temperature, and the maximum standard grayscale and the minimum standard grayscale of the normal graphite electrode at each historical working temperature are selected and recorded as the upper limit and the lower limit of the normal grayscale interval of each historical working temperature, respectively, so as to obtain the normal grayscale interval of each historical working temperature. If the working temperature at a certain time point is equal to a certain historical working temperature, the normal grayscale interval at the time point is the normal grayscale interval of the historical working temperature, so as to obtain the normal grayscale interval at each time point; If the grayscale of a certain pixel at a certain time point does not belong to the normal grayscale interval of the time point, it indicates that the pixel is an abnormal pixel, so as to obtain the abnormal pixels at each time point, and obtain the number of abnormal pixels at each time point by statistics, and record the adjacent abnormal pixels as the same abnormal pixel block, and obtain the number of abnormal pixels of each abnormal pixel block at each time point by statistics, if the number of abnormal pixels of an abnormal pixel block is greater than the number of abnormal pixels of a preset standard abnormal pixel block, it indicates that the abnormal pixel block is a faulty pixel block, and obtain the number of faulty pixel blocks by statistics, if the number of abnormal pixels at a certain time point is greater than the preset standard number of abnormal pixels, or the number of faulty pixel blocks at the time point is greater than the preset standard number of faulty pixel blocks, the time point is recorded as a temperature abnormal time point, and the number of occurrences A of the temperature abnormal time point is obtained by statistics; If a group of adjacent time points are all temperature abnormal time points, the time period between the group of adjacent time points is recorded as the temperature abnormal time period, so as to obtain each temperature abnormal time period, and count each temperature abnormal time period to obtain the number of occurrences B of the temperature abnormal time period; Substitute the number of occurrences of abnormal temperature time points and abnormal temperature time periods into the temperature index calculation formula The temperature index of the graphite electrode is obtained , and The standard occurrence times of the preset temperature abnormal time points and the standard occurrence times of the temperature abnormal time periods are respectively and are the weight factors of the number of occurrences of the preset temperature anomaly time points and the weight factors of the number of occurrences of the temperature anomaly time periods, respectively. , , .

4. The automatic detection system for graphite electrodes according to claim 1, characterized in that: The specific analysis process of analyzing the graphite electrode conductivity data is as follows: Obtain the conductivity of each normal graphite electrode at each historical working voltage from the database, select the maximum conductivity and the minimum conductivity of the normal graphite electrode at each historical working voltage and record them as the upper limit and the lower limit of the normal conductivity interval of each historical working voltage, so as to obtain the normal grayscale interval of each historical working conductivity; if the working voltage at a certain time point is equal to a certain historical working voltage, then the normal conductivity interval at this time point is the normal conductivity interval of the historical working voltage, so as to obtain the normal conductivity interval at each time point; if the conductivity at a certain time point does not belong to the normal conductivity interval, then this time point is a time point of conductivity abnormality, and each time point of conductivity abnormality is counted to obtain the number of occurrences C of the conductivity abnormal time point; if a group of adjacent time points are all conductivity abnormal time points, then the time period between the group of adjacent time points is recorded as the conductivity abnormal time period, so as to obtain each conductivity abnormal time period, and each conductivity abnormal time period is counted to obtain the number of occurrences D of each conductivity abnormal time period; Substitute the number of times the conductivity abnormal time point and the conductivity abnormal time period occur into the conductivity fault index calculation formula The conductivity fault index of the graphite electrode is obtained , and are the standard occurrence times of the preset conductivity abnormal time points and the standard occurrence times of the conductivity abnormal time periods, respectively. and are respectively the weight factors of the number of occurrences of the preset conductivity abnormal time points and the weight factors of the number of occurrences of the conductivity abnormal time periods, , , .

5. The automatic detection system for graphite electrodes according to claim 4, characterized in that: The specific process of judging whether the graphite electrode is faulty is as follows: The temperature indexes and conductivity fault indexes of the normal use of the graphite electrode are obtained from the database, and the maximum temperature index and the maximum conductivity fault index of the normal use of the graphite electrode are recorded as the standard temperature index and the standard conductivity fault index of the graphite electrode, respectively. If the temperature index of the graphite electrode is greater than or equal to the standard temperature index and the conductivity fault index is greater than or equal to the standard conductivity fault index, it indicates that the graphite electrode has no fault. If the temperature index of the graphite electrode is greater than the standard temperature index or the conductivity fault index is greater than the standard conductivity fault index, it indicates that the graphite electrode has a fault.

6. The automatic detection system for graphite electrodes according to claim 1, characterized in that: The specific process of judging whether the graphite electrode needs to be replaced is as follows: The graphite electrode property data include the density of the graphite electrode and the hardness of each collection point. If the density of the graphite electrode belongs to the standard density range of normal graphite electrodes and the hardness of each collection point belongs to the standard hardness range of normal graphite electrodes, it indicates that the graphite electrode does not need to be replaced. If the density of the graphite electrode does not belong to the standard density range of normal graphite electrodes or the hardness of a certain collection point does not belong to the standard hardness range of normal graphite electrodes, it indicates that the graphite electrode needs to be replaced.

7. The automatic detection system for graphite electrodes according to claim 1, characterized in that: The specific collection process of collecting graphite electrode shearing data is as follows: The graphite electrode shearing data includes the number and depth of each surface defect of the graphite electrode, the location of internal defects and the volume of internal defects; The graphite electrode is cleaned and dried, and then the surface image of the graphite electrode is collected through a camera. The number and depth of each surface defect of the graphite electrode are obtained from the surface image of the graphite electrode, and the position and volume of the internal defects are obtained through an internal defect detector.

8. The automatic detection system for graphite electrodes according to claim 7, characterized in that: The graphite electrode shearing data is analyzed, and the specific analysis process is as follows: The depth of the maximum number of surface defects of the graphite electrode is selected as the cutting depth of the graphite electrode, the historical cutting depth and surface recovery rate of each cutting are obtained from the database, and the surface recovery rates of each historical cutting depth are statistically obtained. The minimum surface recovery rate of each historical cutting depth is recorded as the basic surface recovery rate of each historical cutting depth. If the cutting depth of the graphite electrode is equal to a certain historical cutting depth, the surface recovery rate of the graphite electrode is equal to the basic surface recovery rate corresponding to the historical cutting depth. The volume of the graphite electrode is multiplied by the surface recovery rate to obtain the surface shearing residual volume of the graphite electrode; The internal recovery rates of the historical volumes in each region are obtained from the database, and the internal recovery rates of the volumes corresponding to the internal defects at each position are calculated by the average value to obtain the basic internal recovery rates of the volumes corresponding to the internal defects at each position. If the position of the internal defects of the graphite electrode belongs to a certain region, and the volume of the internal defects of the graphite electrode is equal to a historical volume in the region, then the internal recovery rate of the graphite electrode is equal to the basic internal recovery rate of the historical volume in the region. The residual volume of the surface shearing of the graphite electrode is multiplied by the basic internal recovery rate to obtain the residual volume of the graphite electrode.

9. The automatic detection system for graphite electrodes according to claim 8, characterized in that: The graphite electrode cutting history data in the database is analyzed, and the specific analysis process is as follows: The historical data of graphite electrode shearing includes the number of shearing times of graphite electrodes, the number of shearing times of each scrapped graphite electrode and the remaining volume of each scrapped graphite electrode. The average number of shearing times of each scrapped graphite electrode is calculated to obtain the standard scrapped shearing times. , calculate the average value of the remaining volume of each scrapped graphite electrode to obtain the standard remaining volume ; Substitute the number of shearing times, standard scrap shearing times and standard scrap volume of the graphite electrode into the scrap index calculation formula The scrap index of graphite electrode is obtained , E and F are the shearing times and residual volume of the graphite electrode, and are the weight factors of the preset number of cuts and the remaining volume, , , .

10. The automatic detection system for graphite electrodes according to claim 1, characterized in that: It also includes a database for storing the grayscale of each pixel of each normal graphite electrode corresponding to each historical working temperature, each temperature index of normal use of the graphite electrode, each conductivity fault index of normal use of the graphite electrode, the historical cutting depth of each cut, the surface recovery rate of each cut, the internal recovery rate of each historical volume corresponding to the internal defects at each position, the number of cutting times of the graphite electrode, the number of cutting times of each scrapped graphite electrode and the remaining volume of each scrapped graphite electrode.

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