A method, device, terminal device and storage medium for monitoring the performance of a graphitization furnace

Abstract

The present invention discloses a method, device, terminal device and storage medium for monitoring the performance of a graphitization furnace, including: obtaining electrical detection parameters of the graphitization furnace through an electrical detection device on an electrical circuit connected to the graphitization furnace, and determining a first heating efficiency of the graphitization furnace; obtaining temperature information of the graphitization furnace through a temperature detection device arranged on the graphitization furnace, and determining a second heating efficiency of the graphitization furnace; when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determining a target temperature field distribution according to the electrode information, and determining a current heating efficiency network of the graphitization furnace according to the power information; determining a control strategy for adjusting pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and controlling the pressure and gas in the graphitization furnace according to the control strategy, so as to monitor the heating efficiency of the graphitization furnace.

Description

Technical Field

[0001] The present invention relates to the technical field of graphitization furnace monitoring, and particularly to a method, device, terminal device and storage medium for monitoring the performance of a graphitization furnace. Background Art

[0002] In the production of carbon materials, the graphitization furnace, which can convert carbon materials into graphite through high-temperature treatment, plays a very important role. Its internal environment, especially the precise control of pressure and temperature, is decisive for ensuring the smooth operation of the production process and the excellent quality of products.

[0003] Currently, in order to monitor and control the heating efficiency of the graphitization furnace, most technical solutions control the pressure and temperature in the graphitization furnace to ensure the stable reaction of the overall system in the graphitization furnace and maintain high heating efficiency and production efficiency. However, currently, various types of sensor devices are directly used to detect the graphitization furnace, that is, it is necessary to obtain temperature-related information, pressure-related information, furnace gas-related information, etc. of the graphitization furnace, and then process a large amount of data to obtain the heating performance of the graphitization furnace. This results in an excessive amount of data processing for monitoring the heating performance of the graphitization furnace, and it is impossible to quickly judge the performance of the graphitization furnace in the case of multiple graphitization furnaces, leading to a decrease in the efficiency from individual detection to overall detection, and it is impossible to improve the detection efficiency of multiple graphitization furnaces as a whole from the high detection efficiency of a single graphitization furnace. Summary of the Invention

[0004] The present invention provides a method, device, terminal device and storage medium for monitoring the performance of a graphitization furnace to solve the technical problems in the prior art of excessive data processing for monitoring the heating performance of the graphitization furnace, low performance detection efficiency of a single graphitization furnace, and inability to improve the detection efficiency of multiple graphitization furnaces as a whole from the high detection efficiency of a single graphitization furnace.

[0005] To solve the above technical problems, an embodiment of the present invention provides a method for monitoring the performance of a graphitization furnace, including:

[0006] Obtain electrical detection parameters of the graphitization furnace through an electrical detection device on the electrical circuit connecting the graphitization furnace, and determine a first heating efficiency of the graphitization furnace according to the current information and voltage information in the electrical detection parameters; wherein, the electrical detection parameters include: current information, voltage information, electrode information and power information;

[0007] Obtain temperature information of the graphitization furnace through a temperature detection device arranged on the graphitization furnace, and determine a second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace;

[0008] When the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine the target temperature field distribution according to the electrode information, and determine the current heating efficiency network of the graphitization furnace according to the power information;

[0009] Determine the control strategy for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and control the pressure and gas in the graphitization furnace according to this control strategy, so as to monitor the heating efficiency of the graphitization furnace.

[0010] As a preferred solution, obtaining the electrical detection parameters of the graphitization furnace through an electrical detection device on the electrical circuit connecting the graphitization furnace, and determining the first heating efficiency of the graphitization furnace according to the current information and voltage information in the electrical detection parameters specifically includes:

[0011] Obtain the current information, voltage information on the electrical circuit in the graphitization furnace, and the power information of the entire electrical circuit through an ammeter, a voltmeter and a watt-hour meter on the electrical circuit connecting the graphitization furnace;

[0012] Obtain the electrode diameter, electrode length and electrode spacing of the task corresponding to the current graphitization furnace as the electrode information in the graphitization furnace;

[0013] Input the current information and voltage information into a preset heating model, so as to output the first heating efficiency in the current graphitization furnace.

[0014] As a preferred solution, the construction method of the preset heating model includes:

[0015] Obtain the historical temperature data, historical current data and historical voltage data of the graphitization furnace in each heating process;

[0016] Calculate the historical heating efficiency in each heating process according to the historical temperature data;

[0017] Construct an initial heating network model, and use the historical heating efficiency, historical current data and historical voltage data as the training data of the initial heating network model, train the initial heating network model, and obtain a preset heating model after the training ends.

[0018] As a preferred solution, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determining the target temperature field distribution according to the electrode information, and determining the current heating efficiency network of the graphitization furnace specifically includes:

[0019] When the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine the target temperature field distribution during the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length, and electrode spacing in the electrode information;

[0020] Determine the heating efficiency of the graphitization furnace at each moment according to the power information, and construct a heating efficiency network of the graphitization furnace for the current task according to the heating efficiency at each moment.

[0021] As a preferred solution, the control strategy for adjusting the pressure and gas in the graphitization furnace is determined according to the target temperature field distribution and the heating efficiency network, specifically including:

[0022] Determine the temperature field distribution of each time period and the current real-time temperature field distribution according to the temperature information and the second heating efficiency;

[0023] Determine the distribution interval of the difference value according to the difference value between the target temperature field distribution and the current real-time temperature field distribution, and match the position of the distribution interval in the temperature field distribution of each time period;

[0024] Determine the temperature distribution data corresponding to the position of the matched distribution interval according to the position of the matched distribution interval, and obtain the corresponding pressure information and gas information according to the change situation of the temperature distribution data corresponding to this position at each moment;

[0025] Determine the heating efficiency corresponding to each pressure information and gas information according to the heating efficiency network, and determine the control strategy for the current corresponding pressure and the control strategy for the corresponding gas according to the pressure information, gas information, and the corresponding heating efficiency.

[0026] As a preferred solution, the control strategy for adjusting the pressure and gas in the graphitization furnace is determined according to the heating efficiency network, specifically including:

[0027] Determine the heating efficiency corresponding to each pressure information and gas information according to the heating efficiency network and the pressure information and gas information at each moment;

[0028] Determine the distribution interval where the pressure information at the current moment is located according to the position of the distribution interval in the pressure information, and obtain the target value size for pressure adjustment at the position of this distribution interval according to the distribution interval at the current moment and the pressure size in the pressure information, so as to serve as the control strategy for the current corresponding pressure;

[0029] Determine the distribution interval where the gas information at the current moment is located according to the position of the distribution interval in the gas information, and based on the distribution interval at the current moment, the flow rate and flow velocity magnitude in the gas information, and the target value magnitude for pressure adjustment at the position of this distribution interval, obtain the target value magnitude for adjusting the gas flow velocity and flow rate at the position of this distribution interval, which is used as the control strategy for the corresponding gas at present.

[0030] As a preferred solution, after controlling the pressure and gas in the graphitization furnace, it further includes:

[0031] Re-obtain the first heating efficiency and the second heating efficiency, and determine whether the difference between the first heating efficiency and the second heating efficiency exceeds a preset threshold;

[0032] If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is still greater than the preset threshold, then determine the adjusted third heating efficiency according to the adjusted temperature information of the graphitization furnace, and based on the difference between the third heating efficiency and the target heating efficiency, determine the current and voltage control strategies for the electrical circuit in the graphitization furnace;

[0033] If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is less than the preset threshold, then continue to monitor the heating efficiency of the graphitization furnace.

[0034] Correspondingly, the present invention further provides a graphitization furnace performance monitoring device, including: a first heating module, a second heating module, a comparison module, and a control module;

[0035] The first heating module is used to obtain the electrical detection parameters of the graphitization furnace through the electrical detection equipment on the electrical circuit connecting the graphitization furnace, and determine the first heating efficiency of the graphitization furnace according to the current information and voltage information in the electrical detection parameters; wherein, the electrical detection parameters include: current information, voltage information, electrode information, and power information;

[0036] The second heating module is used to obtain the temperature information of the graphitization furnace through the temperature detection equipment arranged on the graphitization furnace, and determine the second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace;

[0037] The comparison module is used to, when the difference between the first heating efficiency and the second heating efficiency is greater than the preset threshold, determine the target temperature field distribution according to the electrode information, and determine the current heating efficiency network of the graphitization furnace according to the power information;

[0038] The control module is configured to determine a control strategy for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and control the pressure and gas in the graphitization furnace according to this control strategy, so as to monitor the heating efficiency of the graphitization furnace.

[0039] Correspondingly, the present invention also provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the performance monitoring method of the graphitization furnace described in any one of the above is implemented.

[0040] Correspondingly, the present invention also provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the performance monitoring method of the graphitization furnace described in any one of the above.

[0041] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0042] The technical solution of the present invention obtains the electrical detection parameters of the graphitization furnace through the electrical detection device on the electrical circuit connecting the graphitization furnace, so as to obtain the first heating efficiency of the graphitization furnace, and obtains the temperature information through the temperature detection device of the graphitization furnace to obtain the second heating efficiency. Then, by comparing the difference between the first heating efficiency and the second heating efficiency with a preset threshold, it is determined whether it is necessary to adjust and control the heating efficiency of the graphitization furnace. This avoids the detection method in the prior art that requires collecting pressure data, temperature data, etc. in various dimensions, and after processing the above data, the heating efficiency of the corresponding graphitization furnace is obtained. This application can directly obtain the electrical detection parameters and temperature information during the detection process to obtain the corresponding heating efficiency for comparison, reducing the dependence on other data during the detection process, thereby reducing the data calculation amount and improving the detection efficiency.

[0043] Further, when the difference between the first heating efficiency and the second heating efficiency is greater than the preset threshold, that is, when there is a problem with the heating efficiency of the graphitization furnace, the corresponding target temperature field distribution and heating efficiency network are obtained through the electrode information and power information, and a control strategy for generating adjustments to the pressure and gas in the graphitization furnace is directly obtained, and corresponding adjustment control is performed, so as to perform large-scale data calculations during the adjustment stage, and then monitor the heating efficiency of the graphitization furnace efficiently and accurately, thereby improving the heating efficiency of a single graphitization furnace and optimizing the performance monitoring process of the graphitization furnace. Description of the Drawings

[0044] Figure 1: It is a step flow chart of a method for monitoring the performance of a graphitization furnace provided by an embodiment of the present invention;

[0045] Figure 2 : It is a structural diagram of a device for monitoring the performance of a graphitization furnace provided by an embodiment of the present invention. Specific embodiments

[0046] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts belong to the scope of protection of the present invention.

[0047] Embodiment 1

[0048] Please refer to Figure 1 , a method for monitoring the performance of a graphitization furnace provided by an embodiment of the present invention, includes the following steps S101-S104:

[0049] Step S101: Obtain the electrical detection parameters of the graphitization furnace through the electrical detection equipment on the electrical circuit connected to the graphitization furnace, and determine the first heating efficiency of the graphitization furnace according to the current information and voltage information in the electrical detection parameters; wherein, the electrical detection parameters include: current information, voltage information, electrode information, and power information.

[0050] In this embodiment, the magnitudes of the current information and voltage information directly affect the heating power in the furnace. Higher current and voltage can provide greater heating power, enabling the temperature in the furnace to rise faster, thereby shortening the heating time and improving production efficiency. At the same time, if the current and voltage are unstable, it will cause uneven temperature distribution in the furnace, thereby affecting the heating efficiency and further affecting the quality of the graphitized products. For example, if the current and voltage are uneven, it will lead to uneven heating efficiency in the furnace, resulting in uneven temperature in different structures of the overall furnace under different heating efficiencies, thereby causing uneven temperature in the furnace core and further causing cracks in the graphitized products, making them defective products.

[0051] In this embodiment, the electrode information includes: electrode diameter, length, and electrode spacing. The diameter and length of the electrodes directly affect the distribution of the electric field and temperature field in the furnace. Larger electrode diameters and longer electrodes can expand the high-temperature area and increase the temperature peak value. However, the amplitude of temperature increase decreases as the length of the electrodes inserted into the material increases. Narrowing the electrode spacing can expand the high-temperature area and increase the temperature peak value, and the amplitude of temperature increase increases as the electrode spacing narrows. Different power information affects the heating rate. Higher power and power density can raise the temperature in the furnace to the required graphitization temperature faster, shorten the heating time, and improve production efficiency.

[0052] As a preferred solution of this embodiment, electrical detection equipment on the electrical circuit connecting the graphitization furnace is used to obtain the electrical detection parameters of the graphitization furnace, and the first heating efficiency of the graphitization furnace is determined according to the current information and voltage information in the electrical detection parameters. Specifically, it includes:

[0053] An ammeter, a voltmeter, and a watt-hour meter on the electrical circuit connecting the graphitization furnace are used to obtain the current information, voltage information on the electrical circuit in the graphitization furnace, and the power information of the entire electrical circuit; the electrode diameter, electrode length, and electrode spacing corresponding to the current task of the graphitization furnace are obtained as the electrode information in the graphitization furnace; the current information and voltage information are input into a preset heating model, and thus the first heating efficiency in the current graphitization furnace is output.

[0054] In this embodiment, to obtain the electrical circuit data, an ammeter, a voltmeter, and a watt-hour meter on the electrical circuit connecting the graphitization furnace can be used to obtain the current information, voltage information on the electrical circuit in the graphitization furnace, and the power information of the entire electrical circuit. The specific steps are as follows:

[0055] Ammeter: Used to measure the magnitude of the current in the circuit. The ammeter should be connected in series in the circuit, and the current enters from the “+” terminal and exits from the “-” terminal.

[0056] Voltmeter: Used to measure voltage. The voltmeter should be connected in parallel with the part to be measured, and the current enters from the positive pole and exits from the negative pole.

[0057] Watt-hour meter: Used to measure the power consumption, and the power information of the entire electrical circuit can be calculated through the watt-hour meter.

[0058] In this embodiment, the electrode information can be obtained by acquiring the electrode diameter, electrode length, and electrode spacing corresponding to the tasks of the current graphitization furnace as the electrode information in the graphitization furnace. Among them, the parameters of the electrodes have an important impact on the heating efficiency. For example, the electrode diameter affects the electrical conductivity and heat conduction efficiency of the electrodes. A larger electrode diameter can improve the electrical conductivity and heat conduction efficiency. The electrode length affects the size of the high-temperature region and the temperature peak value. A longer electrode can expand the high-temperature region and increase the temperature peak value. The electrode spacing affects the distribution of the electric field and temperature field. A smaller electrode spacing can expand the high-temperature region and increase the temperature peak value. Finally, to calculate the heating efficiency, the acquired current information and voltage information can be input into a preset heating model, so as to output the first heating efficiency in the current graphitization furnace. Among them, a BP neural network (Back Propagation Neural Network) or ANFIS (Adaptive Neuro-Fuzzy Inference System) can be used to build the model. A BP neural network is a multi-layer feedforward neural network trained according to the error backpropagation algorithm. It adjusts the weights and biases of the network through the backpropagation algorithm to minimize the error between the predicted value and the actual value. ANFIS combines neural networks and fuzzy logic and can handle non-linear relationships and uncertainties. Furthermore, the current information, voltage information, and electrode information are used as input data and input into a preset heating network model, so as to output the result and obtain the first heating efficiency in the current graphitization furnace.

[0059] As a preferred solution of this embodiment, the method for constructing the preset heating model includes:

[0060] Obtain the historical temperature data, historical current data, and historical voltage data of the graphitization furnace during each heating process; calculate the historical heating efficiency during each heating process according to the historical temperature data;

[0061] Construct an initial heating network model, and use the historical heating efficiency, historical current data, and historical voltage data as the training data of the initial heating network model, train the initial heating network model, and obtain a preset heating model after the training is completed.

[0062] In this embodiment, to obtain the historical temperature data, historical current data, and historical voltage data of the graphitization furnace during each heating process, it is necessary to obtain the historical temperature data, historical current data, and historical voltage data during each heating process from the control system or data recording device of the graphitization furnace. Among them, the historical temperature data, historical current data, and historical voltage data can be collected by sensors and watt-hour meters installed in the furnace and stored in a database. Furthermore, calculate the historical heating efficiency, and calculate the historical heating efficiency during each heating process according to the obtained historical temperature data.

[0063] In this embodiment, construct an initial heating network model. This model can be a model based on neural network or machine learning algorithm. The inputs of the model include historical temperature data, historical current data, and historical voltage data, and the output is the heating efficiency. A BP neural network or ANFIS (Adaptive Neuro-Fuzzy Inference System) can be used to construct the model. Thus, train the initial heating network model, use the obtained historical data as training data, and train the initial heating network model. During the training process, the model will continuously adjust its internal parameters to minimize the error between the predicted value and the actual value. At the same time, the backpropagation algorithm can be used to train the BP neural network, or K-means (K-Means Clustering) clustering and subtractive clustering can be used to train the ANFIS model. Among them, K-means clustering is an unsupervised learning algorithm used to divide a data set into K non-overlapping clusters, and each cluster is represented by a cluster center (i.e., the mean). It finds the optimal cluster partition by minimizing the sum of the squared errors between the data points within the cluster and the cluster center.

[0064] After the training is completed, a preset heating network model is obtained. The preset heating network model can predict the corresponding heating efficiency according to the input temperature, current, and voltage data, and then evaluate the accuracy and reliability of the model through a validation set or a test set. Finally, apply the preset heating model to the actual operation of the graphitization furnace, monitor and adjust the heating parameters in real time to optimize the heating efficiency and reduce energy consumption. At the same time, the current and voltage can be automatically adjusted through the control system to ensure that the temperature and heating efficiency in the furnace reach the best state.

[0065] Step S102: Obtain the temperature information of the graphitization furnace through the temperature detection device arranged on the graphitization furnace, and determine the second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace.

[0066] In this embodiment, the temperature detection device arranged on the graphitization furnace can be an infrared detector or other relevant temperature detection devices to obtain the in-furnace temperature information of the graphitization furnace, and then calculate the second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace.

[0067] Step S103: When the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine the target temperature field distribution according to the electrode information, and determine the current heating efficiency network of the graphitization furnace according to the power information.

[0068] As a preferred solution of this embodiment, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determining the target temperature field distribution according to the electrode information and determining the current heating efficiency network of the graphitization furnace according to the power information specifically includes:

[0069] When the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine the target temperature field distribution during the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length, and electrode spacing in the electrode information;

[0070] Determine the heating efficiency of the graphitization furnace at each moment according to the power information, and construct the heating efficiency network of the graphitization furnace under the current task according to the heating efficiency at each moment.

[0071] In this embodiment, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine the target temperature field distribution during the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length, and electrode spacing in the electrode information. Preferably, the Subtractive Clustering Method can be used to determine the target temperature field distribution, where this algorithm does not require specifying the number of clusters in advance and can quickly determine the cluster centers only according to the sample data.

[0072] In this embodiment, determine the heating efficiency of the graphitization furnace at each moment according to the power information, and construct the heating efficiency network of the graphitization furnace under the current task according to the heating efficiency at each moment. Among them, first, the heating efficiency at each moment can be calculated, that is, use an electric energy meter, an ammeter, and a voltmeter to obtain the current information, voltage information on the electrical circuit in the graphitization furnace, and the power information of the entire electrical circuit. Furthermore, construct the heating efficiency network. For example, the K-means clustering algorithm can be used to cluster the heating efficiency data at each moment to determine different temperature regions, and finally obtain the corresponding heating efficiency network.

[0073] Step S104: Determine the control strategy for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and control the pressure and gas in the graphitization furnace according to this control strategy, so as to monitor the heating efficiency of the graphitization furnace.

[0074] As a preferred solution of this embodiment, determining the control strategy for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network specifically includes:

[0075] Determine the temperature field distribution of each time period and the current real-time temperature field distribution according to the temperature information and the second heating efficiency;

[0076] Determine the distribution interval of the difference value according to the difference value between the target temperature field distribution and the current real-time temperature field distribution, and match the position of the distribution interval in the temperature field distribution of each time period;

[0077] Determine the temperature distribution data corresponding to the position of the matched distribution interval according to the position of the matched distribution interval, and obtain the corresponding pressure information and gas information according to the change of the temperature distribution data corresponding to this position at each moment;

[0078] Determine the heating efficiency corresponding to each pressure information and gas information according to the heating efficiency network, and determine the control strategy for the current corresponding pressure and the control strategy for the corresponding gas according to the pressure information, gas information and the corresponding heating efficiency.

[0079] In this embodiment, through the temperature information and the second heating efficiency, the temperature field distribution of each time period and the current real-time temperature field distribution can be determined. Among them, the second heating efficiency can determine the heating efficiency of the graphitization furnace at each moment. Furthermore, by comparing the difference value between the target temperature field distribution and the current real-time temperature field distribution, the distribution interval of the difference value can be determined, and the position of the distribution interval can be matched in the temperature field distribution of each time period, that is, there are interval positions with different temperature distributions in the graphitization furnace. Furthermore, combined with the position of the matched distribution interval, determine the temperature distribution data corresponding to the position of the distribution interval, so that through the change of the temperature distribution data corresponding to this position at each moment, that is, through the relevant pressure sensors and gas detection devices corresponding to this position, the corresponding pressure information and gas information can be obtained.

[0080] In this embodiment, after obtaining the pressure information and gas information corresponding to this position, combined with the heating efficiency network, determine the heating efficiency corresponding to each pressure information and gas information, and according to the pressure information, gas information and the corresponding heating efficiency, the control strategy for the current corresponding pressure and the control strategy for the corresponding gas can be finally determined.

[0081] As a preferred solution of this embodiment, determining the heating efficiency corresponding to each pressure information and gas information according to the heating efficiency network, and determining the control strategy for the current corresponding pressure and the control strategy for the corresponding gas according to the pressure information, gas information and the corresponding heating efficiency specifically includes:

[0082] Determine the heating efficiency corresponding to each pressure information and gas information according to the heating efficiency network, as well as the pressure information and gas information at each moment.

[0083] Determine the distribution interval where the pressure information at the current moment is located according to the position of the distribution interval in the pressure information, and obtain the target value for pressure adjustment at the position of this distribution interval according to the distribution interval at the current moment and the magnitude of the pressure in the pressure information, so as to serve as the control strategy for the corresponding pressure at present.

[0084] Determine the distribution interval where the gas information at the current moment is located according to the position of the distribution interval in the gas information, and obtain the target value for gas flow rate and flow adjustment at the position of this distribution interval by combining the distribution interval at the current moment, the magnitude of the flow rate and flow velocity in the gas information, and the target value for pressure adjustment at the position of this distribution interval, so as to serve as the control strategy for the corresponding gas at present.

[0085] In this embodiment, through the heating efficiency network, as well as the pressure information and gas information at each moment, the heating efficiency corresponding to each pressure information and gas information at the same moment can thus be determined in the heating efficiency network. Among them, since both the pressure information and the gas information include the position of the corresponding matching distribution interval, the distribution interval where the pressure information at the current moment is located is determined according to the position of the distribution interval in the pressure information. Similarly, the distribution interval where the gas information at the current moment is located can also be determined according to the position of the distribution interval in the gas information. By combining the distribution interval at the current moment and the magnitude of the pressure in the pressure information, the target value for pressure adjustment at the position of this distribution interval is obtained, and by combining the distribution interval at the current moment and the magnitude of the flow rate and flow velocity in the gas information, the initial target value for gas flow rate and flow adjustment at the position of this distribution interval is obtained. For the gas information, the initial target value also needs to be adjusted by combining the target value for pressure adjustment at the position of this distribution interval to prevent the overall pressure from exceeding or falling below the target value for pressure adjustment under the control of the flow rate and flow.

[0086] In this embodiment, after the heating efficiency network combines pressure information and gas information, it essentially becomes network grid data involving time parameters, heating efficiency parameters, pressure parameters, and gas parameters. Among them, both the pressure parameter and the gas parameter include position data in another dimension in addition to their own data. Therefore, through the heating efficiency network that combines pressure information and gas information, it essentially becomes the overall big data system of the current graphitization furnace, which can combine methods such as the simulation model of the graphitization furnace to optimize the operation efficiency and energy utilization of the graphitization furnace, thereby improving the corresponding heating efficiency to ensure that the heating efficiency of the graphitization furnace remains within the target range.

[0087] In this embodiment, heating efficiency can improve production efficiency during the operation of the graphitization furnace. High heating efficiency means that the graphitization furnace can heat the material to the required high temperature faster, thereby shortening the heating time and improving production efficiency. At the same time, an efficient heating system can ensure uniform temperature distribution in the furnace, avoiding local overheating or overcooling, thereby improving the quality and consistency of the product. Moreover, it can reduce energy consumption and waste. By optimizing the layout of heating elements and temperature control strategies, the heating efficiency can be significantly improved, reducing power loss, thereby reducing production costs. At the same time, waste heat recovery can be carried out. Using waste heat recovery equipment, the waste heat generated by combustion can be used to heat water or air, improving the overall energy utilization efficiency. Therefore, heating efficiency is one of the most important performance monitoring and evaluation indicators for the graphitization furnace.

[0088] As a preferred solution of this embodiment, after controlling the pressure and gas in the graphitization furnace, it further includes:

[0089] Re-obtain the first heating efficiency and the second heating efficiency, and determine whether the difference between the first heating efficiency and the second heating efficiency exceeds a preset threshold;

[0090] If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is still greater than the preset threshold, then determine the adjusted third heating efficiency according to the adjusted temperature information of the graphitization furnace, and determine the current and voltage control strategies of the electrical circuit in the graphitization furnace according to the difference between the third heating efficiency and the target heating efficiency;

[0091] If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is less than the preset threshold, then continue to monitor the heating efficiency of the graphitization furnace.

[0092] In this embodiment, the adjustment of the pressure and gas in the graphitization furnace belongs to the fine adjustment of the graphitization furnace. For most graphitization furnaces, usually only a relatively small amount of data needs to be adjusted to maintain the normal operation of the graphitization furnace, and relatively few large data adjustments are involved (including multi-dimensional and multi-faceted control adjustments of temperature, circuit, pressure, etc.). Therefore, in this embodiment, by monitoring the circuit, most risks and abnormal operations have been avoided. Furthermore, combined with the fine adjustment of pressure and gas, the efficient control of the heating efficiency of the graphitization furnace is achieved.

[0093] In this embodiment, if the fine adjustment of pressure and gas cannot control the heating efficiency to the target value, the third heating efficiency after adjustment can be determined through the temperature information of the graphitization furnace after adjustment. Then, based on the difference between the third heating efficiency and the target heating efficiency, the current and voltage control strategies for the electrical circuit in the graphitization furnace are determined to control the current and voltage of the electrical circuit in the graphitization furnace, so as to achieve a large adjustment of the heating efficiency of the graphitization furnace (compared with the fine adjustment of pressure and gas).

[0094] Implementing the above embodiments has the following effects:

[0095] The technical solution of the present invention obtains the electrical detection parameters of the graphitization furnace through the electrical detection equipment on the electrical circuit connecting the graphitization furnace, thereby obtaining the first heating efficiency of the graphitization furnace. And the temperature information is obtained through the temperature detection equipment of the graphitization furnace to obtain the second heating efficiency. Then, by comparing the difference between the first heating efficiency and the second heating efficiency with the preset threshold, it is determined whether it is necessary to adjust and control the heating efficiency of the graphitization furnace, thus avoiding the prior art method of collecting pressure data, temperature data, etc. in various dimensions, and processing the above data to obtain the heating efficiency of the corresponding graphitization furnace. This application can directly obtain the electrical detection parameters and temperature information during the detection process to obtain the corresponding heating efficiency for comparison, reducing the dependence on other data during the detection process, thereby reducing the data calculation amount and improving the detection efficiency.

[0096] Furthermore, when the difference between the first heating efficiency and the second heating efficiency is greater than the preset threshold, that is, when there is a problem with the heating efficiency of the graphitization furnace, the corresponding target temperature field distribution and heating efficiency network are obtained through the electrode information and power information, and the control strategy for generating adjustments to the pressure and gas in the graphitization furnace is directly determined and corresponding adjustment control is carried out, so as to perform large-scale data calculations during the adjustment stage, and then efficiently and accurately monitor the heating efficiency of the graphitization furnace, thereby improving the heating efficiency of a single graphitization furnace and optimizing the performance monitoring process of the graphitization furnace.

[0097] Embodiment 2

[0098] Please refer to Figure 2 , which is a device for monitoring the performance of a graphitization furnace provided by the present invention, including: a first heating module 201, a second heating module 202, a comparison module 203, and a control module 204;

[0099] The first heating module 201 is configured to obtain electrical detection parameters of the graphitization furnace through electrical detection devices on the electrical circuit connecting the graphitization furnace, and determine a first heating efficiency of the graphitization furnace according to current information and voltage information in the electrical detection parameters; wherein, the electrical detection parameters include: current information, voltage information, electrode information, and power information;

[0100] The second heating module 202 is configured to obtain temperature information of the graphitization furnace through temperature detection devices provided in the graphitization furnace, and determine a second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace;

[0101] The comparison module 203 is configured to, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine a target temperature field distribution according to the electrode information, and determine a current heating efficiency network of the graphitization furnace according to the power information;

[0102] The control module 204 is configured to determine a control strategy for adjusting pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and control the pressure and gas in the graphitization furnace according to the control strategy, so as to monitor the heating efficiency of the graphitization furnace.

[0103] As a preferred solution, the method of obtaining the electrical detection parameters of the graphitization furnace through electrical detection devices on the electrical circuit connecting the graphitization furnace, and determining the first heating efficiency of the graphitization furnace according to the current information and voltage information in the electrical detection parameters specifically includes:

[0104] Obtain current information, voltage information, and power information of the entire electrical circuit on the electrical circuit of the graphitization furnace through an ammeter, a voltmeter, and a watt-hour meter on the electrical circuit connecting the graphitization furnace;

[0105] Obtain the electrode diameter, electrode length, and electrode spacing corresponding to the current task of the graphitization furnace as the electrode information in the graphitization furnace;

[0106] Input the current information and voltage information into a preset heating model, so as to output the first heating efficiency in the current graphitization furnace.

[0107] As a preferred solution, the construction method of the preset heating model includes:

[0108] Obtain the historical temperature data, historical current data, and historical voltage data of the graphitization furnace during each heating process;

[0109] Calculate the historical heating efficiency during each heating process based on the historical temperature data;

[0110] Construct an initial heating network model, and use the historical heating efficiency, historical current data, and historical voltage data as the training data of the initial heating network model to train the initial heating network model, and obtain a preset heating model after the training ends.

[0111] As a preferred solution, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine the target temperature field distribution according to the electrode information, and determine the current heating efficiency network of the graphitization furnace according to the power information, specifically including:

[0112] When the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, determine the target temperature field distribution during the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length, and electrode spacing in the electrode information;

[0113] Determine the heating efficiency of the graphitization furnace at each moment according to the power information, and construct the heating efficiency network of the graphitization furnace under the current task according to the heating efficiency at each moment.

[0114] As a preferred solution, determine the control strategy for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, specifically including:

[0115] Determine the temperature field distribution of each time period and the current real-time temperature field distribution according to the temperature information and the second heating efficiency;

[0116] Determine the distribution interval of the difference value according to the difference value between the target temperature field distribution and the current real-time temperature field distribution, and match the position of the distribution interval in the temperature field distribution of each time period;

[0117] Determine the temperature distribution data corresponding to the position of the matched distribution interval according to the position of the matched distribution interval, and obtain the corresponding pressure information and gas information according to the change situation of the temperature distribution data corresponding to this position at each moment;

[0118] Determine the heating efficiency corresponding to each pressure information and gas information according to the heating efficiency network, and determine the control strategy for the current corresponding pressure and the control strategy for the corresponding gas according to the pressure information, gas information, and the corresponding heating efficiency.

[0119] As a preferred solution, based on the heating efficiency network, determine the heating efficiency corresponding to each pressure information and gas information, and based on the pressure information, gas information, and the corresponding heating efficiency, determine the control strategy for the current corresponding pressure and the control strategy for the corresponding gas, specifically including:

[0120] Based on the heating efficiency network, as well as the pressure information and gas information at each moment, determine the heating efficiency corresponding to each pressure information and gas information;

[0121] Based on the position of the distribution interval in the pressure information, determine the distribution interval where the pressure information at the current moment is located, and based on the distribution interval at the current moment and the magnitude of the pressure in the pressure information, obtain the magnitude of the target value for pressure adjustment at the position of this distribution interval, thereby serving as the control strategy for the current corresponding pressure;

[0122] Based on the position of the distribution interval in the gas information, determine the distribution interval where the gas information at the current moment is located, and based on the distribution interval at the current moment, as well as the flow rate and velocity magnitude in the gas information, in combination with the magnitude of the target value for pressure adjustment at the position of this distribution interval, obtain the magnitude of the target value for gas velocity and flow rate adjustment at the position of this distribution interval, serving as the control strategy for the current corresponding gas.

[0123] As a preferred solution, after controlling the pressure and gas in the graphitization furnace, it further includes:

[0124] Re-obtain the first heating efficiency and the second heating efficiency, and determine whether the difference between the first heating efficiency and the second heating efficiency exceeds a preset threshold;

[0125] If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is still greater than the preset threshold, then determine the adjusted third heating efficiency based on the temperature information of the graphitization furnace after adjustment, and based on the difference between the third heating efficiency and the target heating efficiency, determine the current and voltage control strategies for the electrical circuit in the graphitization furnace;

[0126] If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is less than the preset threshold, then continue to monitor the heating efficiency of the graphitization furnace.

[0127] Those skilled in the art can clearly understand that for the sake of convenience and brevity of description, the specific working process of the above-described device can refer to the corresponding process in the foregoing method embodiment, and will not be elaborated herein.

[0128] Implementing the above embodiments has the following effects:

[0129] The technical solution of the present invention obtains the electrical detection parameters of the graphitization furnace through the electrical detection equipment on the electrical circuit connecting the graphitization furnace, so as to obtain the first heating efficiency of the graphitization furnace, and obtains the temperature information through the temperature detection equipment of the graphitization furnace to obtain the second heating efficiency. Then, by comparing the difference between the first heating efficiency and the second heating efficiency with a preset threshold, it is determined whether it is necessary to adjust and control the heating efficiency of the graphitization furnace, thus avoiding the need to collect pressure data, temperature data, etc. in various dimensions in the prior art, and after processing the above data, obtaining the detection method of the heating efficiency of the corresponding graphitization furnace. This application can directly obtain the electrical detection parameters and temperature information during the detection process to obtain the corresponding heating efficiency for comparison, reducing the dependence on other data during the detection process, thereby reducing the amount of data calculation and improving the detection efficiency.

[0130] Further, when the difference between the first heating efficiency and the second heating efficiency is greater than the preset threshold, that is, when there is a problem with the heating efficiency of the graphitization furnace, the corresponding target temperature field distribution and heating efficiency network are obtained through the electrode information and power information, and the control strategy for adjusting the pressure and gas generation in the graphitization furnace is directly carried out, and the corresponding adjustment and control are performed, so as to perform large-scale data calculation during the adjustment stage, and then efficiently and accurately monitor the heating efficiency of the graphitization furnace, thereby improving the heating efficiency of a single graphitization furnace and optimizing the performance monitoring process of the graphitization furnace.

[0131] Embodiment III

[0132] Correspondingly, the present invention also provides a terminal device, including: a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the graphitization furnace performance monitoring method described in any one of the above embodiments.

[0133] The terminal device of this embodiment includes: a processor, a memory, and a computer program and computer instructions stored in the memory and executable on the processor. When the processor executes the computer program, it implements each step in the above Embodiment 1, such as Figure 1 the steps S103 to S104 shown. Or, when the processor executes the computer program, it implements the functions of each module / unit in the above device embodiment, such as the comparison module 203.

[0134] Exemplarily, the computer program may be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the terminal device. For example, the comparison module 203 is configured to determine a target temperature field distribution according to the electrode information and determine the current heating efficiency network of the graphitization furnace according to the power information when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold.

[0135] The terminal device may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the schematic diagram is only an example of the terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal device may further include input / output devices, network access devices, a bus, etc.

[0136] The so-called processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the terminal device and connects various parts of the entire terminal device through various interfaces and lines.

[0137] The memory can be used to store the computer programs and / or modules. By running or executing the computer programs and / or modules stored in the memory, and invoking the data stored in the memory, the processor realizes various functions of the terminal device. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc.; the data storage area can store data created according to the use of the mobile terminal, etc. In addition, the memory can include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0138] Among them, if the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunications signals.

[0139] Embodiment 4

[0140] Correspondingly, the present invention also provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program. Among them, when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the graphitization furnace performance monitoring method described in any one of the above embodiments.

[0141] The specific embodiments described above further elaborate on the objective, technical solution, and beneficial effects of the present invention. It should be understood that the above are only specific embodiments of the present invention and are not used to limit the protection scope of the present invention. In particular, for those skilled in the art, any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for monitoring the performance of a graphitization furnace, characterized in that, Including: Obtain the electrical detection parameters of the graphitization furnace through an electrical detection device connected to the electrical circuit of the graphitization furnace, where the electrical detection parameters include: current information, voltage information, electrode information, and power information; and determine the first heating efficiency of the graphitization furnace through a preset heating model based on the current information and voltage information at the current moment; where the preset heating model is obtained by training historical heating efficiency, historical current data, and historical voltage data; Obtain the temperature information of the graphitization furnace through a temperature detection device arranged in the graphitization furnace, and determine the second heating efficiency of the graphitization furnace based on the temperature information of the graphitization furnace; When the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, adjust and control the heating efficiency of the graphitization furnace; Wherein, the adjusting and controlling the heating efficiency of the graphitization furnace includes: Determine the target temperature field distribution during the current heating task corresponding to the current graphitization furnace according to the electrode information, and combine the power information to determine the heating efficiency of the graphitization furnace at each moment, and construct a heating efficiency network of the graphitization furnace under the current heating task according to the heating efficiency at each moment; Determine the control strategy for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and control the pressure and gas in the graphitization furnace according to this control strategy, so as to monitor the heating efficiency of the graphitization furnace.

2. The method for monitoring the performance of a graphitization furnace according to claim 1, wherein The obtaining the electrical detection parameters of the graphitization furnace through an electrical detection device connected to the electrical circuit of the graphitization furnace and determining the first heating efficiency of the graphitization furnace according to the current information and voltage information in the electrical detection parameters specifically includes: Obtain the current information, voltage information on the electrical circuit of the graphitization furnace, and the power information of the entire electrical circuit through an ammeter, a voltmeter, and a watt-hour meter connected to the electrical circuit of the graphitization furnace; Obtain the electrode diameter, electrode length, and electrode spacing of the task corresponding to the current graphitization furnace as the electrode information in the graphitization furnace; Input the current information and voltage information into the preset heating model, and thus output the first heating efficiency in the current graphitization furnace.

3. The performance monitoring method of a graphitization furnace according to claim 2, wherein, The construction method of the preset heating model includes: Obtain the historical temperature data, historical current data, and historical voltage data of the graphitization furnace in each heating process; Calculate the historical heating efficiency in each heating process according to the historical temperature data; Construct an initial heating network model, and use the historical heating efficiency, historical current data, and historical voltage data as the training data of the initial heating network model to train the initial heating network model, and obtain a preset heating model after the training is completed.

4. A method for monitoring the performance of a graphitization furnace according to any one of claims 1-3, characterized in that, Based on the electrode information, determine the target temperature field distribution during the current heating task corresponding to the current graphitization furnace, and in combination with the power information, determine the heating efficiency of the graphitization furnace at each moment. Then, construct the heating efficiency network of the graphitization furnace under the current heating task, specifically including: When the difference between the first heating efficiency and the second heating efficiency is greater than the preset threshold, determine the target temperature field distribution during the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length, and electrode spacing in the electrode information; Based on the power information, determine the heating efficiency of the graphitization furnace at each moment, and construct the heating efficiency network of the graphitization furnace under the current task according to the heating efficiency at each moment.

5. The method for monitoring the performance of a graphitization furnace according to claim 4, wherein Based on the target temperature field distribution and the heating efficiency network, determine the control strategy for adjusting the pressure and gas in the graphitization furnace, specifically including: Based on the temperature information and the second heating efficiency, determine the temperature field distribution in each period and the current real-time temperature field distribution; Based on the difference value between the target temperature field distribution and the current real-time temperature field distribution, determine the distribution interval of the difference value, and match the position of the distribution interval in the temperature field distribution in each period; Based on the position of the matched distribution interval, determine the temperature distribution data corresponding to the position of the distribution interval, and based on the change of the temperature distribution data corresponding to this position at each moment, obtain the corresponding pressure information and gas information through the pressure sensor device and gas detection device corresponding to this position; Based on the heating efficiency network, determine the heating efficiency corresponding to each pressure information and gas information, and based on the pressure information, gas information, and the corresponding heating efficiency, determine the control strategy for the current corresponding pressure and the control strategy for the corresponding gas.

6. The performance monitoring method of a graphitization furnace according to claim 5, characterized in that Based on the heating efficiency network, determine the heating efficiency corresponding to each pressure information and gas information, and based on the pressure information, gas information, and the corresponding heating efficiency, determine the control strategy for the current corresponding pressure and the control strategy for the corresponding gas, specifically including: Based on the heating efficiency network, and the pressure information and gas information at each moment, determine the heating efficiency corresponding to each pressure information and gas information; Based on the position where the pressure information is located, determine the distribution interval of the pressure value corresponding to the position where the pressure information is located at the current moment, and based on the distribution interval at the current moment and the magnitude of the pressure in the pressure information, obtain the magnitude of the target value for pressure adjustment at this position, thereby serving as the control strategy for the current corresponding pressure; Based on the position where the gas information is located, determine the distribution interval of the flow rate and flow velocity corresponding to the position where the gas information is located at the current moment, and based on the distribution interval at the current moment and the magnitude of the flow rate and flow velocity in the gas information, in combination with the magnitude of the target value for pressure adjustment at this distribution interval position, obtain the magnitude of the target value for gas flow velocity and flow rate adjustment at this distribution interval position, serving as the control strategy for the current corresponding gas.

7. The performance monitoring method of a graphitization furnace according to claim 1, wherein, After controlling the pressure and gas in the graphitization furnace, it further includes: Re-obtain the first heating efficiency and the second heating efficiency, and determine whether the difference between the first heating efficiency and the second heating efficiency exceeds a preset threshold; If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is still greater than the preset threshold, determine the adjusted third heating efficiency according to the adjusted temperature information of the graphitization furnace, and determine the current and voltage control strategies of the electrical circuit in the graphitization furnace according to the difference between the third heating efficiency and the target heating efficiency; If the difference between the first heating efficiency and the second heating efficiency after adjustment and control is less than the preset threshold, continue to monitor the heating efficiency of the graphitization furnace.

8. A performance monitoring device for a graphitization furnace, characterized in that, Comprising: A first heating module, a second heating module, a comparison module and a control module; The first heating module is configured to obtain the electrical detection parameters of the graphitization furnace through an electrical detection device on the electrical circuit connecting the graphitization furnace, wherein the electrical detection parameters include: current information, voltage information, electrode information and power information; and determine the first heating efficiency of the graphitization furnace through a preset heating model according to the current information and voltage information at the current moment; wherein, the preset heating model is trained by historical heating efficiency, historical current data and historical voltage data; The second heating module is configured to obtain the temperature information of the graphitization furnace through a temperature detection device arranged on the graphitization furnace, and determine the second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace; The comparison module is configured to adjust and control the heating efficiency of the graphitization furnace when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold; The control module is configured to determine the control strategies for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and control the pressure and gas in the graphitization furnace according to the control strategies, so as to monitor the heating efficiency of the graphitization furnace; Wherein, the adjustment and control of the heating efficiency of the graphitization furnace includes: Determine the target temperature field distribution of the current graphitization furnace corresponding to the current heating task according to the electrode information, and combine the power information to determine the heating efficiency of the graphitization furnace at each moment, and construct the heating efficiency network of the graphitization furnace under the current heating task according to the heating efficiency at each moment; determine the control strategies for adjusting the pressure and gas in the graphitization furnace according to the target temperature field distribution and the heating efficiency network, and control the pressure and gas in the graphitization furnace according to the control strategies, so as to monitor the heating efficiency of the graphitization furnace.

9. A terminal device, characterized in that, Comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements the method for monitoring the performance of the graphitization furnace according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the graphitization furnace performance monitoring method according to any one of claims 1 to 7.

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