Graphitization furnace performance monitoring method and device, terminal equipment and storage medium

Abstract

The invention discloses a graphitization furnace performance monitoring method and device, terminal equipment and a storage medium, and the method comprises the steps: obtaining electrical detection parameters of a graphitization furnace through electrical detection equipment connected to an electrical circuit of the graphitization furnace, and determining the first heating efficiency of the graphitization furnace; temperature information of the graphitization furnace is obtained through temperature detection equipment arranged on the graphitization furnace, and second heating efficiency of the graphitization furnace is determined; when the difference value between the first heating efficiency and the second heating efficiency is larger than a preset threshold value, target temperature field distribution is determined according to the electrode information, and a current heating efficiency network of the graphitization furnace is determined according to the power information; and according to the target temperature field distribution and the heating efficiency network, determining a control strategy for adjusting the pressure and the gas in the graphitization furnace, and according to the control strategy, controlling the pressure and the gas in the graphitization furnace 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 in particular to a graphitization furnace performance monitoring method, device, terminal equipment and storage medium. Background Art

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

[0003] At present, in order to ensure the monitoring and control of the heating efficiency of the graphitization furnace, most technical solutions are to control the pressure and temperature in the graphitization furnace to ensure the overall system reaction in the graphitization furnace is stable and maintain high heating efficiency and production efficiency. However, at present, various types of sensor equipment 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, so that the heating performance of the graphitization furnace can be obtained after large-scale data processing, resulting in excessive data processing for monitoring the heating performance of the graphitization furnace, and it is impossible to quickly judge the performance of the graphitization furnace when there are multiple graphitization furnaces, resulting in a decrease in the efficiency from individual detection to overall detection, and it is impossible to achieve the improvement of 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 graphitization furnace performance monitoring method, device, terminal equipment and storage medium to solve the technical problems in the prior art of excessive data processing volume for monitoring the heating performance of a 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 detection efficiency of a single graphitization furnace.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a method for monitoring performance of a graphitization furnace, comprising: By connecting the electrical detection equipment on the electrical circuit of the graphitization furnace, the electrical detection parameters of the graphitization furnace are obtained, and according to the current information and voltage information in the electrical detection parameters, the first heating efficiency of the graphitization furnace is determined; wherein the electrical detection parameters include: current information, voltage information, electrode information and power information; Acquiring temperature information of the graphitization furnace by means of a temperature detection device disposed in the graphitization furnace, and determining a second heating efficiency of the graphitization furnace according to 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, 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; According to the target temperature field distribution and the heating efficiency network, a control strategy for adjusting the pressure and gas in the graphitization furnace is determined, and according to the control strategy, the pressure and gas in the graphitization furnace are controlled, so as to monitor the heating efficiency of the graphitization furnace.

[0006] As a preferred solution, the electrical detection equipment connected to the electrical circuit of 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 the voltage information, which specifically includes: By connecting an ammeter, a voltmeter and an electric energy meter on the electrical circuit of the graphitization furnace, current information, voltage information and power information of the entire electrical circuit in the graphitization furnace are obtained; Obtaining the electrode diameter, electrode length and electrode spacing corresponding to the task currently being performed by the graphitization furnace as electrode information in the graphitization furnace; The current information and the voltage information are input into a preset heating model, so as to output a first heating efficiency in the current graphitization furnace.

[0007] As a preferred solution, the method for constructing the preset heating model includes: Obtain historical temperature data, historical current data and historical voltage data of the graphitization furnace during each heating process; Calculate the historical heating efficiency of each heating process according to the historical temperature data; An initial heating network model is constructed, and the historical heating efficiency, historical current data and historical voltage data are used as training data of the initial heating network model. The initial heating network model is trained, and a preset heating model is obtained after the training is completed.

[0008] As a preferred solution, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, the target temperature field distribution is determined according to the electrode information, and the current heating efficiency network of the graphitization furnace is determined according to the power information, specifically including: 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 in the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length and electrode spacing in the electrode information; According to the power information, the heating efficiency of the graphitization furnace at each moment is determined, and according to the heating efficiency at each moment, a heating efficiency network of the graphitization furnace under the current task is constructed.

[0009] 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: Determine the temperature field distribution in each time period and the current real-time temperature field distribution according to the temperature information and the second heating efficiency; Determine a 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; According to the position of the matched distribution interval, the temperature distribution data of the position corresponding to the distribution interval is determined, and according to the change of the temperature distribution data corresponding to the position at each time, the corresponding pressure information and gas information are obtained; According to the heating efficiency network, the heating efficiency corresponding to each pressure information and gas information is determined, and according to the pressure information, gas information and the corresponding heating efficiency, the control strategy of the current corresponding pressure and the control strategy of the corresponding gas are determined.

[0010] As a preferred solution, the heating efficiency corresponding to each pressure information and gas information is determined according to the heating efficiency network, and the control strategy of the current corresponding pressure and the control strategy of the corresponding gas are determined according to the pressure information, gas information and the corresponding heating efficiency, specifically including: 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 time; According to the position of the distribution interval in the pressure information, the distribution interval corresponding to the pressure information at the current moment is determined, and according to the distribution interval at the current moment and the pressure in the pressure information, the target value of the pressure adjustment at the position of the distribution interval is obtained, so as to serve as the control strategy of the current corresponding pressure; According to the position of the distribution interval in the gas information, the distribution interval corresponding to the gas information at the current moment is determined, and based on the distribution interval at the current moment and the flow rate and flow velocity in the gas information, combined with the target value of the pressure adjustment at the distribution interval position, the target value of the gas flow velocity and flow rate adjustment at the distribution interval position is obtained as the control strategy for the current corresponding gas.

[0011] As a preferred solution, after controlling the pressure and gas in the graphitization furnace, the method further comprises: reacquiring the first heating efficiency and the second heating efficiency, and determining 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, the adjusted third heating efficiency is determined according to the adjusted temperature information of the graphitization furnace, and the current and voltage control strategy of the electrical circuit in the graphitization furnace is determined 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, the heating efficiency of the graphitization furnace continues to be monitored.

[0012] Accordingly, the present invention also provides a graphitization furnace performance monitoring device, comprising: a first heating module, a second heating module, a comparison module and a control module; The first heating module is used to obtain electrical detection parameters of the graphitization furnace by connecting to electrical detection equipment on the electrical circuit of the graphitization furnace, and determine the 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; The second heating module is used to obtain temperature information of the graphitization furnace through a temperature detection device provided in the graphitization furnace, and determine a second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace; The comparison module is used to determine the target temperature field distribution according to the electrode information when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, and to determine the current heating efficiency network of the graphitization furnace according to the power information; The control module is used 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 the control strategy, so as to monitor the heating efficiency of the graphitization furnace.

[0013] Correspondingly, the present invention also provides a terminal device, 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, the graphitization furnace performance monitoring method as described in any one of the above items is implemented.

[0014] Correspondingly, the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the graphitization furnace performance monitoring method as described in any one of the above.

[0015] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: The technical solution of the present invention obtains the electrical detection parameters of the graphitization furnace by connecting the electrical detection equipment on the electrical circuit of the graphitization furnace, thereby obtaining 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, thereby determining whether the heating efficiency of the graphitization furnace needs to be adjusted and controlled by comparing the difference between the first heating efficiency and the second heating efficiency with the size between the preset threshold, thereby avoiding the need to collect pressure data, temperature data, etc. of various dimensions in the prior art, and after processing the above data, obtain the detection method of the heating efficiency of the corresponding graphitization furnace. The present application can directly obtain the electrical detection parameters and temperature information in the detection process to obtain the corresponding heating efficiency for comparison, reducing the dependence on other data in the detection process, thereby reducing the amount of data calculation and improving the detection efficiency.

[0016] Furthermore, when the difference between the first heating efficiency and the second heating efficiency is greater than a 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 adjusted, and corresponding adjustment control is performed, thereby realizing large-scale data calculation in the adjustment stage, and then efficiently and accurately monitoring 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 : A flow chart of the steps of a method for monitoring performance of a graphitization furnace provided in an embodiment of the present invention; Figure 2 : A structural diagram of a graphitization furnace performance monitoring device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] Embodiment 1 Please refer to Figure 1 , a graphitization furnace performance monitoring method provided by an embodiment of the present invention includes the following steps S101-S104: Step S101: acquiring electrical detection parameters of the graphitization furnace by connecting an electrical detection device to an electrical circuit of the graphitization furnace, and determining 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.

[0020] In this embodiment, the magnitude of the current information and the voltage information directly affects the heating power in the furnace. Higher current and voltage can provide greater heating power, so that the temperature in the furnace rises 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 product. For example, if the current and voltage are uneven, the heating efficiency in the furnace will be uneven, resulting in uneven temperature in the furnace due to different heating efficiencies of different structures in the overall furnace, thereby causing uneven temperature in the furnace core, which will in turn cause cracks in the graphitized product and make it waste.

[0021] In this embodiment, the electrode information includes: electrode diameter, length and electrode spacing. The electrode diameter and length directly affect the electric field and temperature field distribution in the furnace. A larger electrode diameter and a longer electrode can expand the high temperature area and increase the temperature peak, but the temperature rise decreases as the electrode penetrates the material. The reduction of the electrode spacing can expand the high temperature area and increase the temperature peak, and the temperature rise increases as the electrode spacing decreases. Different power information will affect the heating speed. Higher power and power density can raise the furnace temperature to the required graphitization temperature more quickly, shorten the heating time, and improve production efficiency.

[0022] As a preferred solution of this embodiment, the electrical detection equipment connected to the electrical circuit of 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 the voltage information, which specifically includes: By connecting the ammeter, voltmeter and electric energy meter on the electrical circuit of the graphitization furnace, the current information, voltage information and power information of the entire electrical circuit in the graphitization furnace are obtained; the electrode diameter, electrode length and electrode spacing corresponding to the task currently performed by 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, so as to output and obtain the first heating efficiency in the current graphitization furnace.

[0023] In this embodiment, the electrical circuit data can be obtained by connecting the ammeter, voltmeter and electric energy meter on the electrical circuit of the graphitization furnace to obtain the current information, voltage information and power information of the entire electrical circuit in the graphitization furnace. The specific steps are as follows: Ammeter: used to measure the current in a circuit. The ammeter should be connected in series in the circuit, with the current entering from the "+" terminal and exiting from the "-" terminal.

[0024] Voltmeter: used to measure voltage. The voltmeter should be connected in parallel with the part being measured, with current flowing in from the positive pole and out from the negative pole.

[0025] Electricity meter: used to measure electricity consumption. The power information of the entire electrical circuit can be calculated through the electricity meter.

[0026] In this embodiment, the electrode information can be obtained by obtaining 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. Among them, the parameters of the electrode have an important influence on the heating efficiency. For example, the electrode diameter affects the conductivity and thermal conductivity of the electrode. A larger electrode diameter can improve the conductivity and thermal conductivity. The electrode length affects the size and temperature peak of the high temperature area. A longer electrode can expand the high temperature area and increase the temperature peak. The electrode spacing affects the distribution of the electric field and the temperature field. A smaller electrode spacing can expand the high temperature area and increase the temperature peak. Finally, the heating efficiency is calculated, and the obtained current information and voltage information can be input into the preset heating model, so as to output the first heating efficiency in the current graphitization furnace, wherein the BP neural network (back propagation neural network) or ANFIS (adaptive neural fuzzy inference system) can be used to construct the model. The BP neural network adjusts the weights and biases of the network through the back propagation algorithm to minimize the error between the predicted value and the actual value. ANFIS combines neural networks and fuzzy logic and can handle nonlinear 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, thereby outputting a result to obtain the first heating efficiency in the current graphitization furnace.

[0027] As a preferred solution of this embodiment, the method for constructing the preset heating model includes: Acquire historical temperature data, historical current data, and historical voltage data of the graphitization furnace during each heating process; and calculate the historical heating efficiency during each heating process based on the historical temperature data; An initial heating network model is constructed, and the historical heating efficiency, historical current data and historical voltage data are used as training data of the initial heating network model. The initial heating network model is trained, and a preset heating model is obtained after the training is completed.

[0028] In this embodiment, to obtain the historical temperature data, historical current data and historical voltage data of the graphitization furnace in each heating process, it is necessary to obtain the historical temperature data, historical current data and historical voltage data of 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 electric energy meters installed in the furnace and stored in the database. Then, the historical heating efficiency is calculated, and the historical heating efficiency of each heating process is calculated based on the acquired historical temperature data.

[0029] In this embodiment, an initial heating network model is constructed, which can be a model based on a neural network or a machine learning algorithm. The input of the model includes historical temperature data, historical current data, and historical voltage data, and the output is heating efficiency. The model can be constructed using a BP neural network or an ANFIS (adaptive neural fuzzy inference system). Thus, the initial heating network model is trained, and the acquired historical data is used as training data to 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 back propagation algorithm can be used to train the BP neural network, or the K-means clustering and subtractive clustering can be used to train the ANFIS model.

[0030] After the training is completed, the preset heating network model is obtained. The preset heating network model can predict the corresponding heating efficiency based on the input temperature, current and voltage data, and then evaluate the accuracy and reliability of the model through the validation set or test set. Finally, the preset heating model is applied to the actual operation of the graphitization furnace, and the heating parameters are monitored and adjusted 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 are in the optimal state.

[0031] Step S102: obtaining temperature information of the graphitization furnace by means of a temperature detection device disposed in the graphitization furnace, and determining a second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace.

[0032] In this embodiment, a temperature detection device, which may be an infrared detector or other temperature detection related equipment, is provided in the graphitization furnace to obtain the temperature information inside the graphitization furnace, and then the second heating efficiency of the graphitization furnace is calculated based on the temperature information of the graphitization furnace.

[0033] Step S103: When the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, the target temperature field distribution is determined according to the electrode information, and the current heating efficiency network of the graphitization furnace is determined according to the power information.

[0034] 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, the target temperature field distribution is determined according to the electrode information, and the current heating efficiency network of the graphitization furnace is determined according to the power information, specifically including: 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 in the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length and electrode spacing in the electrode information; According to the power information, the heating efficiency of the graphitization furnace at each moment is determined, and according to the heating efficiency at each moment, a heating efficiency network of the graphitization furnace under the current task is constructed.

[0035] In this embodiment, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, the target temperature field distribution in the heating task corresponding to the current graphitization furnace is determined according to the electrode diameter, electrode length and electrode spacing in the electrode information. Preferably, a subtractive clustering method can be used to determine the target temperature field distribution, wherein the algorithm does not need to specify the number of clusters in advance, and can quickly determine the cluster center based on the sample data.

[0036] In this embodiment, the heating efficiency of the graphitization furnace at each moment is determined according to the power information, and according to the heating efficiency at each moment, the heating efficiency network of the graphitization furnace under the current task is constructed. Among them, the heating efficiency at each moment can be calculated first, that is, the current information, voltage information and power information of the entire electrical circuit in the graphitization furnace are obtained by using an electric energy meter, an ammeter and a voltmeter. Then, a heating efficiency network is constructed. For example, the heating efficiency data at each moment can be clustered using a K-means clustering algorithm to determine different temperature regions, and finally the corresponding heating efficiency network is obtained.

[0037] Step S104: determining 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 controlling the pressure and gas in the graphitization furnace according to the control strategy, thereby monitoring the heating efficiency of the graphitization furnace.

[0038] As a preferred solution of this embodiment, 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: Determine the temperature field distribution in each time period and the current real-time temperature field distribution according to the temperature information and the second heating efficiency; Determine a 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; According to the position of the matched distribution interval, the temperature distribution data of the position corresponding to the distribution interval is determined, and according to the change of the temperature distribution data corresponding to the position at each time, the corresponding pressure information and gas information are obtained; According to the heating efficiency network, the heating efficiency corresponding to each pressure information and gas information is determined, and according to the pressure information, gas information and the corresponding heating efficiency, the control strategy of the current corresponding pressure and the control strategy of the corresponding gas are determined.

[0039] In this embodiment, the temperature field distribution in each time period and the current real-time temperature field distribution can be determined through temperature information and the second heating efficiency, wherein the second heating efficiency can determine the heating efficiency of the graphitization furnace at each moment. Then, by comparing the difference 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, the interval position corresponding to different temperature distributions in the graphitization furnace. Then, in combination with the position of the matched distribution interval, the temperature distribution data corresponding to the position of the distribution interval is determined, so that the corresponding pressure information and gas information can be obtained through the change of the temperature distribution data corresponding to the position at each moment, that is, through the relevant pressure sensor and gas detection equipment at the corresponding position.

[0040] In this embodiment, after obtaining the pressure information and gas information corresponding to the position, the heating efficiency corresponding to each pressure information and gas information is determined in combination with the heating efficiency network, and based on 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.

[0041] As a preferred solution of this embodiment, the heating efficiency corresponding to each pressure information and gas information is determined according to the heating efficiency network, and the control strategy of the current corresponding pressure and the control strategy of the corresponding gas are determined according to the pressure information, gas information and the corresponding heating efficiency, which specifically includes: 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 time; According to the position of the distribution interval in the pressure information, the distribution interval corresponding to the pressure information at the current moment is determined, and according to the distribution interval at the current moment and the pressure in the pressure information, the target value of the pressure adjustment at the position of the distribution interval is obtained, so as to serve as the control strategy of the current corresponding pressure; According to the position of the distribution interval in the gas information, the distribution interval corresponding to the gas information at the current moment is determined, and based on the distribution interval at the current moment and the flow rate and flow velocity in the gas information, combined with the target value of the pressure adjustment at the distribution interval position, the target value of the gas flow velocity and flow rate adjustment at the distribution interval position is obtained as the control strategy for the current corresponding gas.

[0042] In this embodiment, through the heating efficiency network, and the pressure information and gas information at each moment, the heating efficiency corresponding to each pressure information and gas information at each same moment can 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 corresponding to the pressure information at the current moment is determined by the position of the distribution interval in the pressure information. Similarly, the distribution interval corresponding to the gas information at the current moment can also be determined by the position of the distribution interval in the gas information. In combination with the distribution interval at the current moment and the pressure size in the pressure information, the target value size of the pressure adjustment at the distribution interval position is obtained, as well as the distribution interval at the current moment and the flow rate and flow velocity size in the gas information, and the initial target value size of the gas flow velocity and flow rate adjustment at the distribution interval position is obtained. For the gas information, it is also necessary to adjust the initial target value size in combination with the target value size of the pressure adjustment at the distribution interval position to avoid the overall pressure exceeding or falling below the target value size of the pressure adjustment under the flow velocity and flow control.

[0043] In this embodiment, after the heating efficiency network is combined with the pressure information and the gas information, it is essentially a network grid data involving time parameters, heating efficiency parameters, pressure parameters and gas parameters, wherein the pressure parameters and the gas parameters both include position data of another dimension in addition to their own data. Therefore, through the heating efficiency network combined with the pressure information and the gas information, it is essentially the overall big data system of the current graphitization furnace, which can be combined with the simulation model of the graphitization furnace and other methods to optimize the operation efficiency and energy utilization of the graphitization furnace, thereby improving the corresponding heating efficiency, so as to ensure that the heating efficiency of the graphitization furnace remains within the target range.

[0044] In this embodiment, the heating efficiency can improve the 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 more quickly, thereby shortening the heating time and improving the production efficiency. At the same time, the efficient heating system can ensure uniform temperature distribution in the furnace, avoid local overheating or overcooling, and thus improve the quality and consistency of the product. In addition, it can reduce energy consumption and reduce energy waste. By optimizing the layout of heating elements and temperature control strategies, the heating efficiency can be significantly improved, the power loss can be reduced, and the production cost can be reduced. At the same time, heat energy can be recovered, and waste heat recovery equipment can be used to heat water or air with the waste heat generated by combustion, thereby improving the comprehensive utilization efficiency of energy. Therefore, heating efficiency is the most important performance monitoring and evaluation indicator for graphitization furnaces.

[0045] As a preferred solution of this embodiment, after controlling the pressure and gas in the graphitization furnace, the method further includes: reacquiring the first heating efficiency and the second heating efficiency, and determining 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, the adjusted third heating efficiency is determined according to the adjusted temperature information of the graphitization furnace, and the current and voltage control strategy of the electrical circuit in the graphitization furnace is determined 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, the heating efficiency of the graphitization furnace continues to be monitored.

[0046] In this embodiment, the pressure and gas adjustment in the graphitization furnace is a micro-adjustment of the graphitization furnace. For most graphitization furnaces, it is usually only necessary to adjust a relatively small amount of data to maintain the normal operation of the graphitization furnace, and relatively few involve larger data adjustments (including multi-dimensional and multi-faceted control adjustments of temperature, circuit, pressure, etc.). Therefore, this embodiment has avoided most risks and abnormal operations by monitoring the circuit, and then combined with the micro-adjustment of pressure and gas, to achieve efficient control of the heating efficiency of the graphitization furnace.

[0047] In this embodiment, if the fine adjustment of the pressure and gas cannot achieve the control of the heating efficiency to the target value, the adjusted third heating efficiency can be determined by the adjusted temperature information of the graphitization furnace, and the current and voltage control strategy of the electrical circuit in the graphitization furnace is determined according to the difference between the third heating efficiency and the target heating efficiency, so as 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 (relative to the fine adjustment of the pressure and gas).

[0048] Implementing the above embodiments has the following effects: The technical solution of the present invention obtains the electrical detection parameters of the graphitization furnace by connecting the electrical detection equipment on the electrical circuit of the graphitization furnace, thereby obtaining 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, thereby determining whether the heating efficiency of the graphitization furnace needs to be adjusted and controlled by comparing the difference between the first heating efficiency and the second heating efficiency with the size between the preset threshold, thereby avoiding the need to collect pressure data, temperature data, etc. of various dimensions in the prior art, and after processing the above data, obtain the detection method of the heating efficiency of the corresponding graphitization furnace. The present application can directly obtain the electrical detection parameters and temperature information in the detection process to obtain the corresponding heating efficiency for comparison, reducing the dependence on other data in the detection process, thereby reducing the amount of data calculation and improving the detection efficiency.

[0049] Furthermore, when the difference between the first heating efficiency and the second heating efficiency is greater than a 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 adjusted, and corresponding adjustment control is performed, thereby realizing large-scale data calculation in the adjustment stage, and then efficiently and accurately monitoring 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.

[0050] Embodiment 2 See also Figure 2 , which is a graphitization furnace performance monitoring device provided by the present invention, comprising: a first heating module 201, a second heating module 202, a comparison module 203 and a control module 204; The first heating module 201 is used to obtain electrical detection parameters of the graphitization furnace by connecting to the electrical detection equipment on the electrical circuit of 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; The second heating module 202 is used to obtain temperature information of the graphitization furnace through a temperature detection device provided in the graphitization furnace, and determine a second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace; The comparison module 203 is used to determine the target temperature field distribution according to the electrode information when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, and to determine the current heating efficiency network of the graphitization furnace according to the power information; The control module 204 is used 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 the control strategy, so as to monitor the heating efficiency of the graphitization furnace.

[0051] As a preferred solution, the electrical detection equipment connected to the electrical circuit of 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 the voltage information, which specifically includes: By connecting an ammeter, a voltmeter and an electric energy meter on the electrical circuit of the graphitization furnace, current information, voltage information and power information of the entire electrical circuit in the graphitization furnace are obtained; Obtaining the electrode diameter, electrode length and electrode spacing corresponding to the task currently being performed by the graphitization furnace as electrode information in the graphitization furnace; The current information and the voltage information are input into a preset heating model, so as to output a first heating efficiency in the current graphitization furnace.

[0052] As a preferred solution, the method for constructing the preset heating model includes: Obtain historical temperature data, historical current data and historical voltage data of the graphitization furnace during each heating process; Calculate the historical heating efficiency of each heating process according to the historical temperature data; An initial heating network model is constructed, and the historical heating efficiency, historical current data and historical voltage data are used as training data of the initial heating network model. The initial heating network model is trained, and a preset heating model is obtained after the training is completed.

[0053] As a preferred solution, when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, the target temperature field distribution is determined according to the electrode information, and the current heating efficiency network of the graphitization furnace is determined according to the power information, specifically including: 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 in the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length and electrode spacing in the electrode information; According to the power information, the heating efficiency of the graphitization furnace at each moment is determined, and according to the heating efficiency at each moment, a heating efficiency network of the graphitization furnace under the current task is constructed.

[0054] 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: Determine the temperature field distribution in each time period and the current real-time temperature field distribution according to the temperature information and the second heating efficiency; Determine a 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; According to the position of the matched distribution interval, the temperature distribution data of the position corresponding to the distribution interval is determined, and according to the change of the temperature distribution data corresponding to the position at each time, the corresponding pressure information and gas information are obtained; According to the heating efficiency network, the heating efficiency corresponding to each pressure information and gas information is determined, and according to the pressure information, gas information and the corresponding heating efficiency, the control strategy of the current corresponding pressure and the control strategy of the corresponding gas are determined.

[0055] As a preferred solution, the heating efficiency corresponding to each pressure information and gas information is determined according to the heating efficiency network, and the control strategy of the current corresponding pressure and the control strategy of the corresponding gas are determined according to the pressure information, gas information and the corresponding heating efficiency, specifically including: 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 time; According to the position of the distribution interval in the pressure information, the distribution interval corresponding to the pressure information at the current moment is determined, and according to the distribution interval at the current moment and the pressure in the pressure information, the target value of the pressure adjustment at the position of the distribution interval is obtained, so as to serve as the control strategy of the current corresponding pressure; According to the position of the distribution interval in the gas information, the distribution interval corresponding to the gas information at the current moment is determined, and based on the distribution interval at the current moment and the flow rate and flow velocity in the gas information, combined with the target value of the pressure adjustment at the distribution interval position, the target value of the gas flow velocity and flow rate adjustment at the distribution interval position is obtained as the control strategy for the current corresponding gas.

[0056] As a preferred solution, after controlling the pressure and gas in the graphitization furnace, the method further comprises: reacquiring the first heating efficiency and the second heating efficiency, and determining 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, the adjusted third heating efficiency is determined according to the adjusted temperature information of the graphitization furnace, and the current and voltage control strategy of the electrical circuit in the graphitization furnace is determined 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, the heating efficiency of the graphitization furnace continues to be monitored.

[0057] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0058] Implementing the above embodiments has the following effects: The technical solution of the present invention obtains the electrical detection parameters of the graphitization furnace by connecting the electrical detection equipment on the electrical circuit of the graphitization furnace, thereby obtaining 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, thereby determining whether the heating efficiency of the graphitization furnace needs to be adjusted and controlled by comparing the difference between the first heating efficiency and the second heating efficiency with the size between the preset threshold, thereby avoiding the need to collect pressure data, temperature data, etc. of various dimensions in the prior art, and after processing the above data, obtain the detection method of the heating efficiency of the corresponding graphitization furnace. The present application can directly obtain the electrical detection parameters and temperature information in the detection process to obtain the corresponding heating efficiency for comparison, reducing the dependence on other data in the detection process, thereby reducing the amount of data calculation and improving the detection efficiency.

[0059] Furthermore, when the difference between the first heating efficiency and the second heating efficiency is greater than a 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 adjusted, and corresponding adjustment control is performed, thereby realizing large-scale data calculation in the adjustment stage, and then efficiently and accurately monitoring 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.

[0060] Embodiment 3 Correspondingly, the present invention also provides a terminal device, 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, the graphitization furnace performance monitoring method described in any one of the above embodiments is implemented.

[0061] The terminal device of this embodiment includes: a processor, a memory, and a computer program and a computer instruction stored in the memory and executable on the processor. When the processor executes the computer program, each step in the above-mentioned embodiment 1 is implemented, for example: Figure 1 Alternatively, the processor implements the functions of each module / unit in the above device embodiment, such as the comparison module 203, when executing the computer program.

[0062] 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 complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device. For example, the comparison module 203 is used to determine the target temperature field distribution according to the electrode information when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, and to determine the current heating efficiency network of the graphitization furnace according to the power information.

[0063] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will appreciate that the schematic diagram is merely an example of a terminal device and does not constitute a limitation on the terminal device. The terminal device may include more or fewer components than shown in the diagram, or may combine certain components, or different components. For example, the terminal device may also include an input / output device, a network access device, a bus, etc.

[0064] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0065] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the terminal device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application 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 a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0066] Wherein, 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, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained 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, computer-readable media do not include electric carrier signals and telecommunication signals.

[0067] Embodiment 4 Correspondingly, the present invention also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the graphitization furnace performance monitoring method described in any one of the above embodiments.

[0068] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for monitoring performance of a graphitization furnace, characterized in that: include: By connecting the electrical detection equipment on the electrical circuit of the graphitization furnace, the electrical detection parameters of the graphitization furnace are obtained, and according to the current information and voltage information in the electrical detection parameters, the first heating efficiency of the graphitization furnace is determined; wherein the electrical detection parameters include: current information, voltage information, electrode information and power information; Acquiring temperature information of the graphitization furnace by means of a temperature detection device disposed in the graphitization furnace, and determining a second heating efficiency of the graphitization furnace according to 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, 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; According to the target temperature field distribution and the heating efficiency network, a control strategy for adjusting the pressure and gas in the graphitization furnace is determined, and according to the control strategy, the pressure and gas in the graphitization furnace are controlled, so as to monitor the heating efficiency of the graphitization furnace.

2. A graphitization furnace performance monitoring method according to claim 1, characterized in that: The step of obtaining electrical detection parameters of the graphitization furnace by connecting the electrical detection equipment on the electrical circuit of the graphitization furnace, and determining the first heating efficiency of the graphitization furnace according to the current information and the voltage information, specifically includes: By connecting an ammeter, a voltmeter and an electric energy meter on the electrical circuit of the graphitization furnace, current information, voltage information and power information of the entire electrical circuit in the graphitization furnace are obtained; Obtaining the electrode diameter, electrode length and electrode spacing corresponding to the task currently being performed by the graphitization furnace as electrode information in the graphitization furnace; The current information and the voltage information are input into a preset heating model, so as to output a first heating efficiency in the current graphitization furnace.

3. A graphitization furnace performance monitoring method according to claim 2, characterized in that: The method for constructing the preset heating model comprises: Obtain historical temperature data, historical current data and historical voltage data of the graphitization furnace during each heating process; Calculate the historical heating efficiency of each heating process according to the historical temperature data; An initial heating network model is constructed, and the historical heating efficiency, historical current data and historical voltage data are used as training data of the initial heating network model. The initial heating network model is trained, and a preset heating model is obtained after the training is completed.

4. A graphitization furnace performance monitoring method according to any one of claims 1 to 3, characterized in that: 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: 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 in the heating task corresponding to the current graphitization furnace according to the electrode diameter, electrode length and electrode spacing in the electrode information; According to the power information, the heating efficiency of the graphitization furnace at each moment is determined, and according to the heating efficiency at each moment, a heating efficiency network of the graphitization furnace under the current task is constructed.

5. A graphitization furnace performance monitoring method as claimed in claim 4, characterized in that: 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 specifically includes: Determine the temperature field distribution in each time period and the current real-time temperature field distribution according to the temperature information and the second heating efficiency; Determine a 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; According to the position of the matched distribution interval, the temperature distribution data of the position corresponding to the distribution interval is determined, and according to the change of the temperature distribution data corresponding to the position at each time, the corresponding pressure information and gas information are obtained; According to the heating efficiency network, the heating efficiency corresponding to each pressure information and gas information is determined, and according to the pressure information, gas information and the corresponding heating efficiency, the control strategy of the current corresponding pressure and the control strategy of the corresponding gas are determined.

6. A graphitization furnace performance monitoring method as claimed in claim 5, characterized in that: The method of determining the heating efficiency corresponding to each pressure information and gas information according to the heating efficiency network, and determining the control strategy of the current corresponding pressure and the control strategy of the corresponding gas according to the pressure information, the gas information and the corresponding heating efficiency, specifically includes: 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 time; According to the position of the distribution interval in the pressure information, the distribution interval corresponding to the pressure information at the current moment is determined, and according to the distribution interval at the current moment and the pressure in the pressure information, the target value of the pressure adjustment at the position of the distribution interval is obtained, so as to serve as the control strategy of the current corresponding pressure; According to the position of the distribution interval in the gas information, the distribution interval corresponding to the gas information at the current moment is determined, and based on the distribution interval at the current moment and the flow rate and flow velocity in the gas information, combined with the target value of the pressure adjustment at the distribution interval position, the target value of the gas flow velocity and flow rate adjustment at the distribution interval position is obtained as the control strategy for the current corresponding gas.

7. A graphitization furnace performance monitoring method according to claim 1, characterized in that: After the pressure and gas in the graphitization furnace are controlled, the method further comprises: reacquiring the first heating efficiency and the second heating efficiency, and determining 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, the adjusted third heating efficiency is determined according to the adjusted temperature information of the graphitization furnace, and the current and voltage control strategy of the electrical circuit in the graphitization furnace is determined 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, the heating efficiency of the graphitization furnace continues to be monitored.

8. A graphitization furnace performance monitoring device, characterized in that: include: A first heating module, a second heating module, a comparison module and a control module; The first heating module is used to obtain electrical detection parameters of the graphitization furnace by connecting to electrical detection equipment on the electrical circuit of the graphitization furnace, and determine the 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; The second heating module is used to obtain temperature information of the graphitization furnace through a temperature detection device provided in the graphitization furnace, and determine a second heating efficiency of the graphitization furnace according to the temperature information of the graphitization furnace; The comparison module is used to determine the target temperature field distribution according to the electrode information when the difference between the first heating efficiency and the second heating efficiency is greater than a preset threshold, and to determine the current heating efficiency network of the graphitization furnace according to the power information; The control module is used 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 the control strategy, so as to monitor the heating efficiency of the graphitization furnace.

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

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

Images