Central monitoring and early warning system for temperature of electrolytic cell

Abstract

The invention relates to the technical field of temperature early warning management, in particular to an electrolytic bath temperature central monitoring and early warning system. The system comprises an in-tank temperature frequency domain analysis module, an in-tank temperature and energy consumption influence analysis module, an in-tank electrolytic strength abnormity response adjustment module, an in-tank temperature over-low abnormity early warning adjustment module and an in-tank iterative execution influence analysis module. Temperature sensors are arranged at key positions in an electrolytic cell to monitor temperature signal distribution in the cell in real time and carry out frequency domain analysis, and meanwhile, corresponding current and voltage are obtained, electrolyte energy consumption analysis and time sequence influence analysis are carried out, and a time sequence correlation influence degree is obtained; and if the conditions are gradually increased and the temperature fluctuation is increased, designing and implementing an energy consumption abnormity response measure, if the conditions are gradually reduced and the temperature fluctuation is reduced, designing and implementing a temperature abnormity response measure, and if the conditions are judged to be other conditions, continuing to iteratively execute the time sequence influence analysis. The stability and quality of the electrolysis process can be guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature early warning management, and in particular to a central monitoring and early warning system for the temperature of an electrolytic cell. Background Art

[0002] In the electronics manufacturing industry, acid etching solutions are often used in the etching process of metal surfaces. This process involves the temperature control of the electrolyte (acid etching solution) in the electrolytic cell. In addition, during the electrolytic cycle regeneration process of the acid etching solution, the temperature of the electrolytic cell has an important influence on the electrolytic reaction efficiency and regeneration effect. Too high a temperature will lead to excessive evaporation of the electrolyte, increased corrosion, equipment damage and other problems, while too low a temperature will affect the speed of the electrolytic reaction and reduce the regeneration effect. In order to ensure the stable operation of the electrolytic cell, it is necessary to monitor the temperature changes of the electrolytic cell in real time, detect abnormal fluctuations in time, and make early warnings and adjustments. However, the existing electrolytic cell temperature monitoring system usually uses an independent temperature sensor and a single temperature alarm threshold for monitoring. Due to the lack of consideration of the temperature distribution and energy consumption distribution of the acid etching solution electrolytic cycle regeneration process, these traditional systems have low applicability and intelligence, and are prone to miss or misreport temperature anomalies, affecting the stability of the electrolytic process, and thus unable to achieve global dynamic temperature monitoring and early warning control of the electrolytic cell. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a central monitoring and early warning system for the temperature of an electrolytic cell to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above purpose, a central monitoring and early warning system for electrolytic cell temperature includes the following modules:

[0005] The frequency domain analysis module of the temperature in the tank is used to form a multi-point temperature sensing array by arranging temperature sensors at key positions in the electrolytic tank; the temperature signal distribution in the tank monitored in real time by the multi-point temperature sensing array is concentrated to the central processing system for frequency domain analysis through wireless transmission to obtain the frequency domain distribution of the etching liquid temperature in the tank;

[0006] The module for analyzing the impact of temperature and energy consumption in the tank is used to obtain the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic tank, and to analyze the electrolyte energy consumption according to the current and voltage corresponding to the electrolysis process of the acid etching solution, so as to obtain the energy consumption distribution of the electrolyte in the tank; the central processing system is used to analyze the time series impact between temperature fluctuation and energy consumption on the temperature frequency domain distribution of the etching solution in the tank and the energy consumption distribution of the electrolyte in the tank, so as to obtain the time series correlation impact between the temperature fluctuation in the tank and the electrolysis energy consumption;

[0007] The module for adjusting the abnormal response to electrolysis intensity in the tank is used to design and implement targeted abnormal response measures for electrolysis energy consumption if it is judged that the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually increasing and the temperature fluctuation in the tank shows a continuous upward trend, including automatically adjusting the electrolysis intensity or power of the electrolytic tank to reduce the electrolysis energy consumption, and outputting abnormal response measures for electrolysis energy consumption;

[0008] The abnormal warning adjustment module for low temperature in the tank is used to design and implement targeted abnormal temperature warning heating response measures if it is judged that the time series correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually decreasing and the temperature fluctuation in the tank shows a continuous downward trend, including warning the generation of abnormal low temperature signals, and automatically adjusting the heating device corresponding to the electrolytic tank according to the abnormal low temperature signals to prevent the electrolysis efficiency from decreasing;

[0009] The slot iterative execution impact analysis module is used to continue iteratively executing the timing impact analysis between the corresponding temperature fluctuation and energy consumption if it is judged as the other situation.

[0010] Furthermore, the frequency domain analysis module for the temperature in the tank includes the following functions:

[0011] Obtaining the fluid flow, heat conduction characteristics and heat release of the electrolytic reaction in the electrolytic cell, and establishing a reaction temperature distribution model in the electrolytic cell based on the fluid flow, heat conduction characteristics and heat release of the electrolytic reaction in the electrolytic cell;

[0012] The reaction temperature distribution model was numerically simulated and experimentally verified to determine the key locations for temperature sensing in the electrolytic cell, including the inlet, outlet, bottom, near the electrodes, and the cell wall.

[0013] Obtain the response time, measurement range and measurement accuracy of the temperature sensor, and consider the complexity of the internal environment of the electrolytic cell, including the concentration of the etching solution and the strong electric field, so as to design and generate sensor layout constraints; plan the layout of the corresponding temperature sensors according to the sensor layout constraints and the key positions of temperature perception in the electrolytic cell, so as to generate a layout plan for the temperature sensors in the cell, including reasonably arranging the number, layout method and layout depth of each temperature sensor;

[0014] Obtain the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, and optimize the in-cell layout adaptability of the in-cell temperature sensor layout plan based on the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, so as to generate an in-cell sensing space layout adaptation plan; redesign and arrange the corresponding temperature sensors according to the in-cell sensing space layout adaptation plan, and connect them with the central processing system to form a multi-point temperature sensor array;

[0015] The temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array is concentrated to the central processing system through wireless transmission for frequency domain analysis to obtain the frequency domain distribution of the etching liquid temperature in the tank.

[0016] Furthermore, the temperature sensor is specifically an infrared temperature sensor, a thermocouple sensor or a digital temperature sensor.

[0017] Furthermore, the optimization of the arrangement adaptability of the temperature sensor in the electrolytic cell based on the installation space in the electrolytic cell, the interference range of the electrode device and the technical requirements for the electrolytic cell operation includes:

[0018] Obtain the physical structure and internal layout of the electrolytic cell, and perform a spatial constraint analysis on the installation space in the electrolytic cell based on the physical structure and internal layout of the electrolytic cell, and generate the installation space restriction constraints in the electrolytic cell to take into account the size, shape, placement of the electrode device, and space occupied by the supporting equipment of the electrolytic cell;

[0019] Based on the interference range of the electrode device, the electromagnetic and thermal interference simulation analysis is performed on the corresponding temperature sensor arrangement position in the in-tank temperature sensor arrangement scheme, and the in-tank temperature sensor interference simulation field is generated to quantify the electromagnetic interference and thermal disturbance distribution of the electrode device on the temperature sensor;

[0020] Based on the installation space restriction in the electrolytic cell and the interference simulation field of the temperature sensor in the cell, the position constraint optimization analysis of the corresponding temperature sensor arrangement position in the temperature sensor arrangement scheme in the cell is performed to obtain the optimal arrangement scheme of the temperature sensor in the cell, so as to exclude the corresponding position area affected by space restriction, electromagnetic interference or excessive heat flow;

[0021] Based on the technical requirements of electrolytic cell operation, the optimal layout plan of the temperature sensor in the cell is dynamically adaptively adjusted to generate an adaptive layout plan for the sensing space in the cell.

[0022] Furthermore, the method of centralizing the temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array to the central processing system for frequency domain analysis by wireless transmission includes:

[0023] Obtaining the electrolytic cell operating status and electrolytic cell operating requirements;

[0024] Based on the operation status and operation requirements of the electrolytic cell, the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array is flexibly adjusted to obtain a flexible operation sampling frequency;

[0025] By starting the corresponding temperature sensors in the multi-point temperature sensing array to monitor the temperature signal of the electrolytic cell in real time according to the flexible operation sampling frequency, the temperature signal data source in the cell is obtained;

[0026] The temperature data source of the temperature signal in the tank is cleaned and preprocessed, including removing signal noise, removing abnormal signals and time series smoothing, so as to obtain the time series distribution of the temperature signal in the tank T=[T1,T2,…,T i ,…,TN], where i is the item index corresponding to the time point, N is the total number of time points, T i =[t i1 ,t i2 ,t i3 ,t i4 ,t i5 ], where t i1 ,t i2 ,t i3 ,t i4 ,t i5 are the temperatures corresponding to the liquid inlet, liquid outlet, bottom, near the electrode and the cell wall of the electrolytic cell at the i-th time point;

[0027] The time series distribution of the temperature signal in the tank is transmitted to the central processing system by wireless transmission for frequency domain analysis to obtain the frequency domain distribution of the etching liquid temperature in the tank:

[0028]

[0029] Among them, f is the target frequency, k is the imaginary unit, and e is the natural constant.

[0030] Furthermore, the flexibly adjusting the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array based on the electrolytic cell operation state and electrolytic cell operation requirements includes:

[0031] Based on the operation status and operation requirements of the electrolytic cell, a dynamic temperature distribution analysis is performed on the corresponding temperature sensor positions in the multi-point temperature sensing array to obtain a thermal distribution characteristic model of the electrolytic cell to reflect the temperature distribution corresponding to the position of each temperature sensor;

[0032] Based on the electrolytic cell thermal distribution characteristic model, the temperature change area is divided for the corresponding temperature sensor positions in the multi-point temperature sensing array to obtain the electrolytic cell temperature monitoring change area division result, which includes the temperature violent fluctuation area and the temperature stable change area;

[0033] Based on the results of the zone division of the electrolytic cell temperature monitoring change, the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array is flexibly adjusted to obtain a flexible operating sampling frequency.

[0034] Furthermore, the flexible operation sampling frequency is specifically to set a higher sampling frequency for areas with drastic temperature fluctuations, so as to sample once per second; and to set a lower sampling frequency for areas with stable temperature changes, so as to sample once per minute.

[0035] Furthermore, the tank temperature and energy consumption impact analysis module includes the following functions:

[0036] Obtaining the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic cell;

[0037] Based on the current and voltage corresponding to the electrolysis process of the acid etching solution, the input power and the energy required for the electrolysis reaction of the corresponding acid etching solution electrolysis process in the electrolytic cell are analyzed to obtain the input power E of the etching solution electrolysis process. in = V × I × t and the energy required for the electrolytic reaction of the etching solution Where V is the voltage, I is the current, t is the electrolysis process time, n is the number of moles of electrons involved in the electrolysis reaction, E cell is the standard cell voltage required for the electrolysis reaction;

[0038] Input electric energy E according to the electrolysis process of etching solution in And the energy E required for the electrolytic reaction of the etching solution re Quantitative calculation of energy loss and conversion efficiency is performed to obtain the energy loss E of the electrolysis reaction in the tank. in ―E re And the energy conversion efficiency of the electrolytic reaction in the cell

[0039] The energy loss of the electrolytic reaction in the tank and the energy conversion efficiency of the electrolytic reaction in the tank are regionally decomposed to obtain the reaction energy loss E corresponding to each reaction area position. loss,j and reaction energy conversion efficiency η j , where j is the item index corresponding to the reaction area position; according to the reaction energy loss E corresponding to each reaction area position loss,j and reaction energy conversion efficiency η j Perform electrolyte energy consumption analysis to obtain the electrolyte energy consumption distribution in the tank Q = [Q loss,1 ,…,Q loss,j ],in and is the electrolysis energy consumption in the cell corresponding to the position of the jth reaction area;

[0040] The central processing system is used to analyze the time series impact between temperature fluctuation and energy consumption on the frequency domain distribution of etching solution temperature in the tank and the energy consumption distribution of electrolyte in the tank, and the time series correlation impact between temperature fluctuation in the tank and electrolytic energy consumption is obtained.

[0041] Furthermore, the use of the central processing system to analyze the time series impact between temperature fluctuation and energy consumption on the frequency domain distribution of the etching solution temperature in the tank and the energy consumption distribution of the electrolyte in the tank includes:

[0042] Based on the corresponding temperature time series distribution in the temperature frequency domain distribution of the etching solution in the tank, the energy consumption distribution of the electrolyte in the tank is processed synchronously by the central processing system to obtain the corresponding time series distribution of the electrolytic energy consumption in the tank in the same time range. i ,…,Q′ N ],in And Q′ i is the average energy consumption of electrolysis in the tank corresponding to the i-th time point, Q loss,j,i is the electrolysis energy consumption in the cell corresponding to the position of the jth reaction area at the i-th time point;

[0043] The frequency domain analysis of the time series distribution of the electrolysis energy consumption in the tank is performed to obtain the frequency domain distribution of the electrolysis energy consumption in the tank:

[0044]

[0045] The frequency domain phase difference is quantitatively calculated according to the frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank, so as to obtain the frequency domain phase difference Δφ(f)=a(T(f))-a(Q(f)) between the temperature fluctuation and the energy consumption in the tank, wherein a(T(f)) is the phase of the temperature signal at the target frequency f, and a(Q(f)) is the phase of the electrolysis energy consumption signal at the target frequency f;

[0046] Based on the frequency domain phase difference Δφ(f) between the temperature fluctuation in the tank and the energy consumption, the timing correlation influence calculation formula is used to quantify the timing influence of the frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank, and the timing correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is obtained.

[0047] Furthermore, the temporal correlation influence calculation formula is specifically as follows:

[0048]

[0049] Among them, ε is the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption, f max is the maximum target frequency.

[0050] Beneficial effects of the present invention:

[0051] The electrolytic cell temperature central monitoring and early warning system proposed in the present invention is generally composed of an in-cell temperature frequency domain analysis module, an in-cell temperature and energy consumption impact analysis module, an in-cell electrolysis intensity abnormal response adjustment module, an in-cell temperature too low abnormal early warning adjustment module, and an in-cell iterative execution impact analysis module. Compared with the prior art, the beneficial effect of the present application lies in that the temperature sensors (specifically infrared) are reasonably arranged at key positions of temperature perception in the electrolytic cell, which generally include the liquid inlet and liquid outlet of the electrolytic cell (the temperature fluctuations at these two positions have an important impact on the temperature in the entire cell), the bottom (the area where heat accumulates), the vicinity of the electrode (the core area where heat is released by the electrolytic reaction), and the cell wall (the location where heat is lost). The number, layout and depth of temperature sensors (such as thermocouple sensors or digital temperature sensors) can ensure comprehensive monitoring of temperature changes at key locations inside the electrolytic cell. This layout plan not only takes into account the coverage of the sensor, but also the actual conditions of the space inside the electrolytic cell, including interference from the electrode device, liquid flow in the cell, etc., to ensure that the temperature sensor can provide accurate temperature data in key areas, and connect the corresponding temperature sensors to the central processing system to form a multi-point temperature sensing array, which will transmit the temperature change information at various locations inside the electrolytic cell to the central processing system through real-time data transmission, providing support for subsequent temperature control and abnormal monitoring and early warning processes. At the same time, the temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array is concentrated to the central processing system through the use of wireless transmission, and further frequency domain analysis is performed. Frequency domain analysis is a process of converting the temperature signal into different frequency components by Fourier transforming the temperature signal. This method can help identify the periodic changes, instantaneous changes and fluctuation patterns of the temperature in the tank. Through frequency domain analysis, the temperature fluctuation characteristics in the electrolytic cell can be effectively identified, and can be compared with the heat release during the electrolytic reaction, and then the corresponding temperature anomalies or instabilities can be found. This is very important for real-time monitoring, fault diagnosis and optimized operation of the electrolytic cell, which improves the intelligence level and operation efficiency of the electrolytic cell, so that the temperature distribution of the electrolytic cycle regeneration process of the acid etching solution can be monitored in real time. Secondly, by obtaining the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic cell, during the electrolysis reaction, the changes in current and voltage are directly related to the energy input and energy loss of the electrolyte. By real-time monitoring of the current and voltage in the electrolytic cell, the working state and efficiency of the electrolysis process can be effectively reflected. The magnitude of the current determines the flow of electrons and affects the rate of the electrolysis reaction, while the voltage is the "driving force" that promotes the reaction and affects the conditions for the electrolysis reaction. Accurately collecting these data not only helps with subsequent energy analysis, but also provides a key basis for optimizing the working parameters of the electrolytic cell.By analyzing the energy consumption of the electrolyte according to the current and voltage corresponding to the electrolysis process of the acid etching solution, this process helps to realize real-time monitoring of the energy efficiency of the electrolysis process. By analyzing the changes in current and voltage, the electrolysis energy consumption of the electrolytic cell can be accurately calculated. During the electrolysis process, the fluctuations of current and voltage directly affect the electrolysis efficiency and electrolysis energy consumption. Therefore, real-time monitoring and analysis of current and voltage can reveal the unstable factors of the energy efficiency of the electrolytic cell. Through the energy consumption analysis of the electrolyte, the energy efficiency level of the electrolyte under different working conditions can be determined, and it can also provide key data support for the subsequent correlation analysis of temperature fluctuations and energy consumption time series, and promote the intelligent adjustment of the electrolysis process. Through reasonable electrolysis energy consumption distribution, the overall operating efficiency of the electrolytic cell can be significantly improved, ensuring the stability and efficiency of the electrolysis process. It can also monitor the energy consumption distribution of the acid etching solution electrolysis cycle regeneration process in real time, thereby revealing the energy distribution of each position in the cell, and providing a quantitative reference for the subsequent processing process. The central processing system is also used to perform a time series impact analysis between temperature fluctuations and energy consumption on the frequency domain distribution of the etching liquid temperature in the tank and the energy consumption distribution of the electrolyte in the tank, which can reveal the time series impact relationship between temperature changes and energy consumption. During the electrolysis process, the fluctuation of the electrolyte temperature will affect the reaction rate, reaction efficiency, and the stability of current and voltage, thereby indirectly affecting energy consumption. By performing a time series analysis on these factors through the central processing system, the relationship between temperature fluctuations and energy consumption can be quantified, further revealing the energy efficiency performance of the electrolytic cell under different temperature conditions. Temperature fluctuations lead to instability of the electrolytic reaction, which in turn increases energy consumption. This can provide strong support for the optimization of the temperature control system, thereby optimizing the temperature control strategy in the electrolysis process while improving the operating stability of the electrolytic cell. Then, by analyzing the influence of the temporal correlation between temperature fluctuation and electrolysis energy consumption, it is determined whether there is abnormal electrolysis energy consumption in the cell. That is, when the temporal correlation between the temperature fluctuation in the cell and the electrolysis energy consumption gradually increases and the temperature in the cell continues to rise, it indicates that the operating energy consumption state of the electrolytic cell has become abnormal. In this case, it is of great significance to immediately start the abnormal electrolysis energy consumption response measures to automatically adjust the electrolysis intensity or power of the electrolytic cell. This step can reduce excessive heating of the electrolyte by reducing the electrolysis intensity or reducing the power output, thereby reducing energy consumption and avoiding unnecessary energy loss, and keeping the liquid temperature in the electrolytic cell within the optimal working range, which helps to improve the overall electrolysis efficiency and reduce system energy consumption, thereby reducing operating costs and ensuring long-term stable operation of the equipment.When it is judged that the temporal correlation between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually decreasing, and the temperature in the tank shows a continuous downward trend, a temperature abnormality warning is issued and heating response measures are implemented. Low temperature will cause the activity of the electrolyte to decrease, thereby affecting the electrolysis efficiency and the quality of the etching effect. Therefore, it is very important to identify and adjust the low temperature problem in time. By generating an abnormal signal of low temperature through early warning, it can be discovered and measures can be taken in advance to prevent the instability or efficiency reduction of the electrolysis process caused by the low temperature of the electrolytic cell. In this way, by automatically adjusting the heating device of the electrolytic cell, the temperature of the electrolytic cell can be accurately controlled to ensure that the electrolyte remains within the optimal reaction temperature range. Through this response measure, the electrolysis efficiency can be guaranteed, while avoiding the decrease in electrolysis speed or energy efficiency loss caused by too low temperature. Temperature warning and automatic heating adjustment can deal with abnormal temperature changes in the electrolytic cell as soon as possible to avoid the negative impact of too low temperature on the overall process, thereby realizing global temperature dynamic monitoring and early warning control of the electrolytic cell. Finally, if it is judged as the other cases, the corresponding time series impact analysis between temperature fluctuation and energy consumption will continue to be iterated. This can ensure that the electrolytic cell can still operate efficiently under other unknown abnormal conditions. Through continuous analysis, potential temperature fluctuation trends or energy consumption changes can be discovered and timely adjustments can be made. This dynamic monitoring and analysis mechanism makes the entire electrolysis process more intelligent and precise, and can continuously optimize the electrolysis temperature monitoring process according to the actual status of the cell. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0053] Figure 1 It is a module schematic diagram of the electrolytic cell temperature central monitoring and early warning system of the present invention;

[0054] Figure 2 for Figure 1 Schematic diagram of the functional flow of the frequency domain analysis module for the temperature in the middle tank. DETAILED DESCRIPTION

[0055] The technical system of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are 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 technicians in this field without creative work are within the scope of protection of the present invention.

[0056] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor systems and / or microcontroller systems.

[0057] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0058] To achieve this, please refer to Figure 1 to Figure 2 The present invention provides a central monitoring and early warning system for the temperature of an electrolytic cell, the system comprising the following modules:

[0059] The frequency domain analysis module of the temperature in the tank is used to form a multi-point temperature sensing array by arranging temperature sensors at key positions in the electrolytic tank; the temperature signal distribution in the tank monitored in real time by the multi-point temperature sensing array is concentrated to the central processing system for frequency domain analysis through wireless transmission to obtain the frequency domain distribution of the etching liquid temperature in the tank;

[0060] The module for analyzing the impact of temperature and energy consumption in the tank is used to obtain the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic tank, and to analyze the electrolyte energy consumption according to the current and voltage corresponding to the electrolysis process of the acid etching solution, so as to obtain the energy consumption distribution of the electrolyte in the tank; the central processing system is used to analyze the time series impact between temperature fluctuation and energy consumption on the temperature frequency domain distribution of the etching solution in the tank and the energy consumption distribution of the electrolyte in the tank, so as to obtain the time series correlation impact between the temperature fluctuation in the tank and the electrolysis energy consumption;

[0061] The module for adjusting the abnormal response to electrolysis intensity in the tank is used to design and implement targeted abnormal response measures for electrolysis energy consumption if it is judged that the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually increasing and the temperature fluctuation in the tank shows a continuous upward trend, including automatically adjusting the electrolysis intensity or power of the electrolytic tank to reduce the electrolysis energy consumption, and outputting abnormal response measures for electrolysis energy consumption;

[0062] The abnormal warning adjustment module for low temperature in the tank is used to design and implement targeted abnormal temperature warning heating response measures if it is judged that the time series correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually decreasing and the temperature fluctuation in the tank shows a continuous downward trend, including warning the generation of abnormal low temperature signals, and automatically adjusting the heating device corresponding to the electrolytic tank according to the abnormal low temperature signals to prevent the electrolysis efficiency from decreasing;

[0063] The impact analysis module is iteratively executed in the slot, and is used to continue iteratively executing the timing impact analysis between the corresponding temperature fluctuation and energy consumption if it is judged as the other situation.

[0064] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of a module of a central monitoring and early warning system for the temperature of an electrolytic cell according to the present invention. In this example, the central monitoring and early warning system for the temperature of an electrolytic cell comprises the following modules:

[0065] S1: A frequency domain analysis module for the temperature in the tank, which is used to form a multi-point temperature sensing array by arranging temperature sensors at key positions in the electrolytic tank; the temperature signal distribution in the tank monitored in real time by the multi-point temperature sensing array is concentrated to the central processing system for frequency domain analysis through wireless transmission to obtain the frequency domain distribution of the etching solution temperature in the tank;

[0066] In the embodiment of the present invention, CFD (computational fluid dynamics) software is used to simulate and analyze the fluid flow in the electrolytic cell. The simulation model needs to consider the internal geometric structure of the electrolytic cell, the position of the liquid inlet and outlet, the viscosity and density of the fluid, and other physical properties, and accurately simulate the flow of the fluid in the electrolytic cell. In combination with the heat conduction equation, the heat conduction characteristics in the electrolytic cell are analyzed by finite element analysis (FEA) software, the temperature distribution in different regions is considered, and the heat source term equation is used to describe the exothermic process of the electrolytic reaction. It is combined with the fluid flow and heat conduction models to establish a comprehensive reaction temperature distribution model to determine the temperature change trend and Its sensitive positions for fluid flow, heat conduction and electrolytic reaction include the liquid inlet and outlet of the electrolytic cell (temperature fluctuations at these two positions have an important impact on the temperature of the entire cell), the bottom (the area where heat accumulates), near the electrodes (the core area of ​​heat release from the electrolytic reaction) and the cell wall (the location where heat is dissipated). At the same time, by selecting temperature sensors suitable for the electrolytic cell environment, temperature sensors are arranged at previously determined key positions in the electrolytic cell, and the arranged temperature sensors (specifically infrared temperature sensors, thermocouple sensors or digital temperature sensors) are connected to its central processing system, thereby connecting to generate a multi-point temperature sensing array. Then, after the temperature sensors are arranged and debugged, real-time data collection of the multi-point temperature sensor array is carried out. Each temperature sensor in the array sends the collected temperature signal to the central processing system through the wireless transmission module. At the receiving end, the central processing system processes the temperature signal data through the frequency domain analysis method and analyzes the changes in the temperature in the tank at different frequencies. The frequency domain analysis can reveal the periodic characteristics of temperature changes. Through this process, abnormal fluctuations in the liquid temperature in the tank can be discovered in time, and then early warnings can be issued to ensure the safe and stable operation of the electrolytic cell. Finally, the frequency domain distribution of the etching liquid temperature in the tank is obtained by analysis.

[0067] S2: A module for analyzing the impact of temperature and energy consumption in the tank, which is used to obtain the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic tank, and to analyze the electrolyte energy consumption according to the current and voltage corresponding to the electrolysis process of the acid etching solution, so as to obtain the electrolyte energy consumption distribution in the tank; the central processing system is used to analyze the time series impact between temperature fluctuation and energy consumption on the temperature frequency domain distribution of the etching solution in the tank and the energy consumption distribution of the electrolyte in the tank, so as to obtain the time series correlation impact between the temperature fluctuation in the tank and the electrolysis energy consumption;

[0068] In the embodiment of the present invention, current and voltage sensors installed on both sides of the electrolytic cell are used to monitor and record the current and voltage changes of the acid etching solution during the electrolysis process in real time. The current sensor uses the Hall effect principle or current transformer for measurement to obtain the real-time current value during the electrolysis process, and the voltage sensor can use a high-precision digital voltmeter to obtain the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic cell. By combining the current and voltage corresponding to the electrolysis process of the acid etching solution previously obtained in real time, the input electric energy of the electrolysis process of the acid etching solution in the electrolytic cell can be calculated, which can be calculated by the following formula: E in =V×I×t, where E in represents the input electrical energy, V is the voltage, I is the current, and t is the electrolysis process time. Next, the energy required for the electrolysis reaction is calculated based on the number of electrons involved in the electrolysis reaction and the standard cell voltage of the reaction. The required energy is calculated using the following formula: Where E re represents the energy required for the electrolytic reaction, n is the number of moles of electrons involved in the electrolytic reaction, E cell is the standard cell voltage required for the electrolysis reaction, V is the voltage, I is the current, and the input electrical energy E calculated previously is used in And the energy required for the electrolysis reaction E re The energy loss and energy conversion efficiency are quantified, where the energy loss is calculated by the following formula: E in ―E re , and the energy conversion efficiency is calculated by the following formula: Through these calculations, the energy loss and the conversion efficiency of electric energy in the electrolysis process can be obtained. At the same time, the energy loss and energy conversion efficiency previously obtained by quantitative calculation are decomposed into regions based on the reaction areas at different positions in the electrolytic cell. This process first numbers and divides the positions of different reaction areas inside the electrolytic cell. The division of reaction areas is based on factors such as current density and electrolyte concentration at different positions in the electrolytic cell. The energy loss and energy conversion efficiency are further divided into regions for quantitative calculation, so as to quantitatively calculate the reaction energy loss E corresponding to each reaction area position. loss,j =E in,j ―E re,j , where j is the item index corresponding to the position of the reaction area, E in,j is the input energy corresponding to the jth reaction region position, E re,j is the energy required for the electrolysis reaction corresponding to the jth reaction area position, and the reaction energy conversion efficiency corresponding to each reaction area position is quantitatively calculated. At the same time, the reaction energy loss E corresponding to each reaction area position obtained by the previous decomposition calculation loss,j and reaction energy conversion efficiency η jThe electrolysis energy consumption is quantitatively calculated using the following calculation formula: And is the electrolysis energy consumption in the tank corresponding to the jth reaction area position, and the electrolysis energy consumption at each reaction area position is combined into an energy consumption distribution set, so as to obtain the electrolyte energy consumption distribution Q = [Q loss,1 ,…,Q loss,j Then, the central processing system performs the same frequency domain analysis on the previously obtained energy consumption distribution of the electrolyte in the tank, and performs synchronous analysis of the time series, so as to use the data processing software to synchronously analyze the temperature fluctuation and energy consumption distribution data, and obtain the frequency domain distribution of the temperature fluctuation in the tank under the same time series range. Frequency domain distribution of electrolysis energy consumption In addition, the frequency domain phase difference Δφ(f)=a(T(f))-a(Q(f)) between temperature fluctuation and energy consumption is obtained by quantitative calculation, where a(T(f)) is the phase of the temperature signal at the target frequency f, and a(Q(f)) is the phase of the electrolysis energy consumption signal at the target frequency f. The timing correlation influence between temperature fluctuation and energy consumption is calculated by the following formula: Where ε is the temporal correlation between the temperature fluctuation in the tank and the electrolysis energy consumption, f max By taking the maximum target frequency as the maximum target frequency, the influence of temperature changes on the energy efficiency of the electrolytic cell can be identified, the energy management of the electrolysis process can be further optimized, energy waste or decreased electrolysis efficiency caused by temperature fluctuations can be avoided, and the temporal correlation influence between the temperature fluctuation in the cell and the electrolysis energy consumption can be finally obtained.

[0069] S3: An abnormal response adjustment module for electrolysis intensity in the tank, which is used to design and implement targeted abnormal response measures for electrolysis energy consumption if it is judged that the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually increasing and the temperature fluctuation in the tank shows a continuous upward trend, including automatically adjusting the electrolysis intensity or power of the electrolytic tank to reduce the electrolysis energy consumption, and outputting abnormal response measures for electrolysis energy consumption;

[0070] In an embodiment of the present invention, if it is determined that the previous analysis results show that the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually increasing, and the temperature fluctuation in the tank shows a continuous upward trend, it is necessary to design and implement targeted electrolysis energy consumption abnormal response measures. First, the central processing system will use an algorithm to determine that the correlation between the temperature fluctuation in the tank and the energy consumption is increasing, and whether this temperature fluctuation tends to increase continuously. Based on this judgment, the central processing system automatically adjusts the electrolysis intensity or power of the electrolytic cell to reduce the electrolysis energy consumption. For example, the power regulation system of the electrolytic cell can reduce the electrolysis intensity and energy consumption by adjusting the current output or voltage regulation. If the electrolytic cell is equipped with a power regulator, the system will adjust the input power through a feedback mechanism; if there is no power regulation function, it can be adjusted by controlling the current or voltage regulation device. The abnormal response measure will be automatically enabled when the temperature fluctuation in the tank becomes larger and the electrolysis energy consumption increases, so as to improve the energy utilization efficiency of the electrolysis process and prevent energy waste, thereby outputting the corresponding electrolysis energy consumption abnormal response measure.

[0071] S4: A low temperature abnormal warning adjustment module in the tank, which is used to design and implement targeted abnormal temperature warning heating response measures if it is judged that the time series correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually decreasing and the temperature fluctuation in the tank shows a continuous downward trend, including warning the generation of a low temperature abnormal signal, and automatically adjusting the heating device corresponding to the electrolytic tank according to the low temperature abnormal signal to prevent the electrolysis efficiency from decreasing;

[0072] In an embodiment of the present invention, if it is determined that the previous analysis results show that the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually decreasing, and the temperature fluctuation in the tank shows a continuous downward trend, it is necessary to design and implement temperature abnormality warning heating response measures. First, the central processing system will detect the continuous downward trend of the temperature fluctuation in the tank and generate an abnormal warning signal of too low temperature. At this time, the system will trigger the warning system based on a predetermined temperature threshold (such as when the temperature in the tank is lower than a certain set value). In order to prevent the electrolysis efficiency from further decreasing, the system will automatically adjust the heating device of the electrolytic cell. The heating device is usually composed of a heater, a thermostat, etc. The thermostat can adjust the working state of the heater based on the temperature data, thereby increasing the temperature in the tank and ensuring that the electrolyte temperature is within the ideal working range. The heating response measure will be automatically enabled according to the temperature abnormality signal to ensure that the temperature control during the electrolysis process is always maintained in an appropriate range to avoid the adverse effects of low temperature on the electrolysis efficiency and reaction rate.

[0073] S5: Iterative execution of the impact analysis module in the slot, for continuing to iteratively perform the corresponding timing impact analysis between temperature fluctuation and energy consumption if it is determined to be the other case.

[0074] In an embodiment of the present invention, if it is determined that the timing correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption has not reached a significant change, that is, it does not meet the standard of increase or decrease, the system will continue to perform the timing impact analysis between the temperature fluctuation and the energy consumption. During this process, the central processing system will re-collect the temperature, current and voltage data in the electrolytic cell regularly or according to a set time interval, and perform real-time timing correlation analysis. This process ensures that any potential abnormal changes can be captured in time by real-time calculation and monitoring of the changing trend between the temperature fluctuation in the tank and the energy consumption. If the system finds new trend changes, it can automatically adjust the energy consumption management strategy or temperature control measures according to the analysis results to maintain the optimized operation of the electrolysis process. For example, the system can adjust the heater or electrolytic cell power again according to the frequency domain analysis results to ensure that the energy consumption is controlled within a reasonable range and avoid excessive or insufficient energy consumption.

[0075] Furthermore, the frequency domain analysis module for the temperature in the tank includes the following functions:

[0076] Obtaining the fluid flow, heat conduction characteristics and heat release of the electrolytic reaction in the electrolytic cell, and establishing a reaction temperature distribution model in the electrolytic cell based on the fluid flow, heat conduction characteristics and heat release of the electrolytic reaction in the electrolytic cell;

[0077] The reaction temperature distribution model was numerically simulated and experimentally verified to determine the key locations for temperature sensing in the electrolytic cell, including the inlet, outlet, bottom, near the electrodes, and the cell wall.

[0078] Obtain the response time, measurement range and measurement accuracy of the temperature sensor, and consider the complexity of the internal environment of the electrolytic cell, including the concentration of the etching solution and the strong electric field, so as to design and generate sensor layout constraints; plan the layout of the corresponding temperature sensors according to the sensor layout constraints and the key positions of temperature perception in the electrolytic cell, so as to generate a layout plan for the temperature sensors in the cell, including reasonably arranging the number, layout method and layout depth of each temperature sensor;

[0079] Obtain the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, and optimize the in-cell layout adaptability of the in-cell temperature sensor layout plan based on the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, so as to generate an in-cell sensing space layout adaptation plan; redesign and arrange the corresponding temperature sensors according to the in-cell sensing space layout adaptation plan, and connect them with the central processing system to form a multi-point temperature sensor array;

[0080] The temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array is concentrated to the central processing system through wireless transmission for frequency domain analysis to obtain the frequency domain distribution of the etching liquid temperature in the tank.

[0081] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 The functional flow diagram of the frequency domain analysis module for the temperature in the middle tank. In this embodiment, the frequency domain analysis module for the temperature in the middle tank includes the following functions:

[0082] S11: obtaining the fluid flow, heat conduction characteristics and heat release of the electrolysis reaction in the electrolytic cell, and establishing a reaction temperature distribution model in the electrolytic cell according to the fluid flow, heat conduction characteristics and heat release of the electrolysis reaction in the electrolytic cell;

[0083] In an embodiment of the present invention, by using CFD (computational fluid dynamics) software to simulate and analyze the flow of fluid in the electrolytic cell, the simulation model needs to consider the internal geometry of the electrolytic cell, the position of the inlet and outlet, the viscosity and density of the fluid and other physical properties, and accurately simulate the flow of the fluid in the electrolytic cell, and combine the heat conduction equation, analyze the heat conduction characteristics in the electrolytic cell by finite element analysis (FEA) software, consider the temperature distribution in different regions, and further, take the heat generated in the electrolytic reaction into consideration, so as to obtain the fluid flow in the electrolytic cell, the heat conduction characteristics and the heat release of the electrolytic reaction. At the same time, by using the heat source term equation to describe the exothermic process of the electrolytic reaction, and combining it with the fluid flow and heat conduction model, a comprehensive reaction temperature distribution model is established, and the model is solved by a numerical solution to obtain the spatial distribution of the reaction temperature in the electrolytic cell, and finally establish the reaction temperature distribution model in the electrolytic cell.

[0084] S12: Numerical simulation and experimental verification of the reaction temperature distribution model are performed to determine the key locations of temperature sensing in the electrolytic cell, including the electrolytic cell liquid inlet, liquid outlet, bottom, near the electrode, and the cell wall;

[0085] In an embodiment of the present invention, after establishing a reaction temperature distribution model, numerical simulation is used to verify the accuracy of the model, so that the model is solved by using simulation software to obtain the temperature distribution at different positions in the electrolytic cell, and based on the simulation results, the temperature change trend in the electrolytic cell and its sensitive positions to fluid flow, heat conduction and electrolytic reaction are determined, including the key positions of the liquid inlet and outlet of the electrolytic cell (the temperature fluctuations at these two positions have an important impact on the temperature in the entire cell), the bottom (the area where heat accumulates), near the electrode (the core area of ​​heat release from the electrolytic reaction) and the cell wall (the location where heat is lost). On this basis, the accuracy of the simulation results is verified through actual experiments. During the experiment, high-precision temperature sensors are used to measure the temperature at these key positions, and the temperature data is recorded in real time. The experimental data is compared with the numerical simulation results, and the model is further corrected to make it more accurate, thereby determining the key positions for temperature perception in the electrolytic cell.

[0086] S13: Obtain the response time, measurement range and measurement accuracy of the temperature sensor, and consider the complexity factors of the internal environment of the electrolytic cell, including the concentration of the etching solution and the strong electric field, so as to design and generate sensor layout constraints; arrange the corresponding temperature sensors according to the sensor layout constraints and the key positions of temperature sensing in the electrolytic cell, so as to generate a layout plan of the temperature sensors in the cell, including reasonably arranging the number, layout method and layout depth of each temperature sensor;

[0087] In an embodiment of the present invention, a temperature sensor suitable for the electrolytic cell environment is selected, and relevant parameters are collected, including response time (for example, the time required for the sensor to reach a stable reading), measurement range (temperature range that the sensor can effectively measure), and measurement accuracy (resolution of the minimum temperature change that the sensor can provide), and further, considering the complex environmental factors inside the electrolytic cell, such as the influence of etching liquid concentration, strong electric field, etc. on sensor performance, to design corresponding sensor layout constraints, focusing on how to avoid the mutual influence of etching liquid and electrolytic cell electrodes and sensors, ensuring that the sensor can work stably for a long time in harsh environments, and whether the location of the sensor arrangement can effectively sense the temperature changes in the electrolytic cell, especially in the area where the electrolytic reaction undergoes strong temperature fluctuations, thereby generating sensor layout constraints. At the same time, the sensor layout is planned according to the key temperature sensing positions in the electrolytic cell and the sensor layout constraints. In the layout plan, it should be ensured that each key position has a temperature sensor for real-time monitoring. For example, a sensor is arranged at the liquid inlet of the electrolytic cell to monitor the temperature change when the liquid enters; sensors are arranged at the bottom of the electrolytic cell and near the electrode to monitor the temperature of the reaction area; sensors are arranged on the cell wall to understand the influence of heat conduction, and the number and layout of each sensor are reasonably arranged according to the size and geometry of the electrolytic cell. For example, multiple temperature sensors can be arranged in the cell wall area to ensure that the temperature distribution can be fully monitored. For each temperature sensor, its layout depth should also be determined to avoid measurement errors due to too deep or too shallow installation. In addition, in the layout planning process, the relative position of the temperature sensor and the electrode device should also be considered to avoid interference. Finally, the layout plan of the temperature sensor in the cell is generated, including the reasonable arrangement of the number, layout method and layout depth of each temperature sensor.

[0088] S14: obtaining the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, and optimizing the in-cell layout adaptability of the in-cell temperature sensor layout scheme based on the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, so as to generate an in-cell sensing space layout adaptation scheme; redesigning and arranging corresponding temperature sensors according to the in-cell sensing space layout adaptation scheme, and connecting them with the central processing system to form a multi-point temperature sensor array;

[0089] In the embodiment of the present invention, after the temperature sensor arrangement scheme of the electrolytic cell is initially completed, it is necessary to optimize the adaptability according to the actual installation space of the electrolytic cell, the interference range of the electrode device and the technical requirements of the electrolytic cell operation. First, the actual installation space of the electrolytic cell is obtained, including the size and shape of the cell body, and the installation position and form of the electrode device, to evaluate whether the arrangement of the temperature sensor is limited by space. Secondly, the interference of the electrode device to the temperature sensor is analyzed. The strong electric field near the electrode will affect the normal operation of the temperature sensor. Therefore, the sensor needs to be arranged in an area away from the electrode or shielding measures are used. According to the technical requirements of the electrolytic cell operation (such as operating temperature range, current density, etc.), the sensor arrangement scheme is optimized and adjusted to ensure that the temperature sensor can work stably under different working conditions and can accurately sense the temperature changes in the electrolytic cell in real time, and finally optimize the generation of the in-tank sensing space layout adaptation scheme. At the same time, the corresponding temperature sensors are redesigned and arranged according to the previously optimized in-tank sensing space layout adaptation scheme, and the arranged temperature sensors (specifically infrared temperature sensors, thermocouple sensors or digital temperature sensors) are connected to the central processing system, and finally connected to generate a multi-point temperature sensor array.

[0090] S15: The temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array is concentrated to the central processing system through wireless transmission to perform frequency domain analysis, so as to obtain the frequency domain distribution of the etching liquid temperature in the tank.

[0091] In an embodiment of the present invention, after the temperature sensors are arranged and debugged, real-time data collection of the multi-point temperature sensor array is performed, and each temperature sensor in the array sends the collected temperature signal to the central processing system through the wireless transmission module. At the receiving end, the central processing system processes the temperature signal data through the frequency domain analysis method, and analyzes the changes in the temperature in the tank at different frequencies. The frequency domain analysis can reveal the periodic characteristics of temperature changes. Through this process, abnormal fluctuations in the liquid temperature in the tank can be discovered in time, and then early warnings can be issued to ensure the safe and stable operation of the electrolytic cell. Finally, the frequency domain distribution of the etching liquid temperature in the tank is analyzed.

[0092] Furthermore, the temperature sensor is specifically an infrared temperature sensor, a thermocouple sensor or a digital temperature sensor.

[0093] Furthermore, the optimization of the arrangement adaptability of the temperature sensor in the electrolytic cell based on the installation space in the electrolytic cell, the interference range of the electrode device and the technical requirements for the electrolytic cell operation includes:

[0094] Obtain the physical structure and internal layout of the electrolytic cell, and perform a spatial constraint analysis on the installation space in the electrolytic cell based on the physical structure and internal layout of the electrolytic cell, and generate the installation space restriction constraints in the electrolytic cell to take into account the size, shape, placement of the electrode device, and space occupied by the supporting equipment of the electrolytic cell;

[0095] In an embodiment of the present invention, the physical structure of the electrolytic cell is modeled in detail to obtain the size, shape and layout of key components of the electrolytic cell, including the cell shell, inner wall and electrodes, reaction zone and other main components in the electrolytic cell. The physical structure of the electrolytic cell can be accurately modeled by 3D modeling tools (such as AutoCAD, SolidWorks, etc.), and the position and size of each component are marked. For the analysis of the internal installation space of the electrolytic cell, it is necessary to further consider the electrode placement position, channel space, equipment installation area and direction of connecting pipes inside the cell body, and perform space constraint analysis by computer-aided design (CAD) software to simulate the space occupied by various equipment in the electrolytic cell and generate constraints for space restrictions in the cell. These space constraints include the space occupied by the electrode device, the layout and location requirements of supporting equipment such as the power supply system and the cooling system, to ensure that the layout of these equipment meets the technical requirements of the electrolytic cell operation and avoid interference between equipment and occupying too much space.

[0096] Preferably, based on the interference range of the electrode device, electromagnetic and thermal interference simulation analysis is performed on the corresponding temperature sensor arrangement position in the in-tank temperature sensor arrangement scheme to generate an in-tank temperature sensor interference simulation field to quantify the electromagnetic interference and thermal flow disturbance distribution of the electrode device on the temperature sensor;

[0097] In an embodiment of the present invention, an electromagnetic interference model of the electrode device is established according to the physical characteristics of the electrode device and the current flow in the electrolytic cell. The electromagnetic field of the electrode device in the electrolytic cell can be simulated and analyzed using simulation software (such as COMSOL Multiphysics or ANSYSMaxwell), and the electromagnetic interference range of the electrode device on the temperature sensor in the cell is obtained by calculating factors such as electrode current distribution, electromagnetic field strength, and frequency. On this basis, heat flow simulation is continued, considering the heat flow distribution inside the electrolytic cell, especially the position of the heat source, the propagation path of the heat flow, and the change of temperature in the cell during the electrolysis process. Simulation tools (such as Fluent or OpenFOAM) can simulate the influence of heat flow on the temperature sensor, calculate the degree of thermal interference at each sensor position, and form a simulation field of the interfered temperature sensor in the cell. Through the analysis of electromagnetic interference and heat flow disturbance, it is possible to accurately identify which areas in the cell will be subject to greater interference, thereby affecting the accuracy and response speed of the temperature sensor, and finally simulate and generate a simulation field of interference of the temperature sensor in the cell.

[0098] Preferably, based on the installation space restriction constraints in the electrolytic cell and the interference simulation field of the temperature sensor in the cell, the position constraint optimization analysis is performed on the corresponding temperature sensor arrangement positions in the temperature sensor arrangement scheme in the cell, so as to obtain the optimal arrangement scheme of the temperature sensor in the cell, so as to exclude the corresponding position areas affected by space restriction, electromagnetic interference or excessive heat flow;

[0099] In an embodiment of the present invention, the temperature sensor layout scheme in the tank is optimized by combining the previously obtained installation space restriction constraints in the electrolytic cell and the temperature sensor interference simulation field to optimize the corresponding temperature sensor layout positions, so as to exclude areas where temperature sensors cannot be placed according to the space constraints in the electrolytic cell, such as areas where they cannot be placed due to insufficient space or equipment installation interference. Then, based on the simulation analysis results, areas that are subject to large electromagnetic interference or excessive heat flow are identified, and these unsuitable locations are excluded, and the remaining space is analyzed using an optimization algorithm (such as a genetic algorithm or a particle swarm optimization algorithm) to find the optimal sensor layout scheme. This process requires comprehensive consideration of the distance between each sensor, the response speed to temperature changes, and the impact of the sensor location on the operation of the electrolytic cell. Through this step, an optimized sensor layout position scheme can be obtained to ensure that the sensor can avoid interference sources and effectively monitor temperature changes inside the electrolytic cell, and finally obtain a preferred layout scheme for the temperature sensor in the tank.

[0100] Preferably, the preferred arrangement position scheme of the temperature sensors in the electrolytic cell is dynamically adaptively adjusted based on the technical requirements of the electrolytic cell operation to generate an adaptive arrangement scheme for the sensing space layout in the cell.

[0101] In an embodiment of the present invention, the layout of the temperature sensor is dynamically adaptively adjusted according to the specific operating requirements of the electrolytic cell (such as temperature range, control accuracy, response speed, etc.). First, the temperature changes of the electrolytic cell under different operating conditions are considered, such as temperature fluctuations in different stages such as startup, stable operation, and shutdown. The temperature distribution under different operating conditions is simulated to evaluate whether the existing sensor layout can meet the real-time monitoring requirements. If the sensor layout cannot meet the operating requirements, it is necessary to dynamically adjust it, such as changing the layout angle, depth or position of the sensor to ensure that it can effectively monitor the temperature changes of the electrolytic cell under all operating conditions. At the same time, it is also necessary to consider the impact of changes in the external environment on the temperature monitoring system, and make adaptive adjustments to ensure the accuracy and stability of temperature monitoring under various operating conditions. Through this series of adjustments, a temperature sensor layout scheme with strong adaptability and flexibility in different operating environments is formed, and finally the adaptive layout scheme of the sensing space in the generation tank is adjusted.

[0102] Furthermore, the method of centralizing the temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array to the central processing system for frequency domain analysis by wireless transmission includes:

[0103] Obtaining the electrolytic cell operating status and electrolytic cell operating requirements;

[0104] In an embodiment of the present invention, the operating state and operating requirements of the electrolytic cell are obtained, wherein the operating state of the electrolytic cell includes parameters such as the temperature of the electrolyte in the cell, the chemical composition, the current intensity and voltage of the electrolytic cell, and the operating requirements refer to the working conditions and set control targets required by the electrolytic cell in actual operation. To this end, the relevant operating parameters of the electrolytic cell are first obtained through sensors, such as the current temperature, pH value, current, voltage and other signals of the electrolyte in the electrolytic cell, and the electrolytic cell is monitored in real time using a field control system to obtain the current operating mode, such as continuous operation or intermittent operation, temperature requirement range, liquid level changes during electrolysis, etc. The core of this step is to accurately collect the operating parameters of the electrolytic cell, and finally obtain the operating state of the electrolytic cell and the operating requirements of the electrolytic cell.

[0105] Preferably, the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array is flexibly adjusted based on the operating state of the electrolytic cell and the operating requirements of the electrolytic cell to obtain a flexible operating sampling frequency;

[0106] In an embodiment of the present invention, the sampling frequency of each temperature sensor in the temperature sensor array is flexibly adjusted according to the previously acquired operating state and operating requirements of the electrolytic cell. The specific operation method is to first analyze the current working state of the electrolytic cell, for example, the current load of the electrolytic cell and the intensity of the chemical reaction. If the electrolytic cell is in a high load state, the temperature fluctuation of the electrolyte is large. At this time, the sampling frequency of the temperature sensor should be appropriately increased, for example, sampling once per second, so as to more accurately capture the temperature change trend; on the contrary, when the electrolytic cell is in a stable low load state, the sampling frequency can be reduced, for example, sampling once per minute, to save resources and extend the service life of the sensor. The adjustment of the sampling frequency can be dynamically adjusted through a built-in control algorithm. The algorithm will adjust the operating frequency of each temperature sensor in real time through a wireless communication module or an on-site control panel according to the actual operating conditions of the electrolytic cell (such as the rate of change of temperature, the flow rate of the liquid in the tank, etc.). This method ensures that the acquisition of temperature data will not generate unnecessary data redundancy while ensuring accuracy, and finally obtains a flexible operating sampling frequency.

[0107] Preferably, the temperature signal of the electrolytic cell is monitored in real time by starting the corresponding temperature sensors in the multi-point temperature sensing array according to the flexible operation sampling frequency, so as to obtain the temperature signal data source in the cell;

[0108] In an embodiment of the present invention, each temperature sensor in a multi-point temperature sensing array is started in real time to monitor the temperature signal of the electrolytic cell according to the corresponding flexible operation sampling frequency. The positions of the temperature sensors include the liquid inlet, liquid outlet, bottom, near the electrode and the cell wall and other key parts of the electrolytic cell. These sensors collect the temperature data inside the electrolytic cell on time at the set sampling frequency. Each sensor works independently and sends the collected temperature data to the central processing system in the form of a data packet through a built-in wireless module. The temperature data is acquired in real time and can reflect the dynamic changes of the temperature of each part in the electrolytic cell, thereby ensuring the validity of the temperature signal data source and finally obtaining the temperature signal data source in the cell.

[0109] Preferably, the temperature data is cleaned and preprocessed for the data source of the temperature signal in the tank, including removing signal noise, removing abnormal signals and time series smoothing, so as to obtain the time series distribution T=[T1, T2, …, T i ,…,T N ], where i is the item index corresponding to the time point, N is the total number of time points, T i =[t i1 ,t i2 ,t i3 ,t i4 ,t i5 ], where t i1 ,t i2 ,ti3 ,t i4 ,t i5 are the temperatures corresponding to the liquid inlet, liquid outlet, bottom, near the electrode and the cell wall of the electrolytic cell at the i-th time point;

[0110] In the embodiment of the present invention, the temperature data source obtained from the multi-point temperature sensor array is cleaned and preprocessed, mainly including removing signal noise, removing abnormal signals and time series smoothing. First, the signal noise is removed by a digital filter. The signal noise mainly comes from electromagnetic interference, sensor accuracy and other factors. A low-pass filter or a Kalman filter can be used to smooth the data to remove high-frequency noise. Secondly, the removal of abnormal signals can be achieved by a threshold judgment method. A certain temperature range is set. If the temperature value exceeds the range, it is regarded as an abnormal signal and needs to be removed. The abnormal signal is caused by sensor failure, data transmission error, etc. When processing, it needs to be compared and verified with the data of other sensors. Through time series smoothing, a sliding average method or an exponential smoothing method can be used to reduce data fluctuations and obtain a stable temperature change trend. After these preprocessing, the obtained time series distribution of the temperature signal in the tank is continuous and smooth, which can effectively reflect the temperature change in the electrolytic cell. For example, T = [T1, T2, ..., T i ,…,T N ], where i is the item index corresponding to the time point, N is the total number of time points, T i =[t i1 ,t i2 ,t i3 ,t i4 ,t i5 ], where t i1 ,t i2 ,t i3 ,t i4 ,t i5 They are the temperatures corresponding to the liquid inlet, liquid outlet, bottom, near the electrode and the tank wall of the electrolytic cell at the i-th time point, and finally the time series distribution of the temperature signal in the tank is obtained.

[0111] Preferably, the time series distribution of the temperature signal in the tank is transmitted to the central processing system by wireless transmission for frequency domain analysis to obtain the frequency domain distribution of the etching liquid temperature in the tank:

[0112]

[0113] Among them, f is the target frequency, k is the imaginary unit, and e is the natural constant.

[0114] In the embodiment of the present invention, the temperature signal time series distribution in the tank after cleaning and pretreatment is transmitted to the central processing system by wireless transmission. The transmission adopts a low-power, high-reliability wireless communication protocol, such as Wi-Fi, LoRa or Zigbee, to ensure that the data can be transmitted to the central processing system in real time and stably. After the central processing system receives the temperature data, it performs frequency domain analysis. The frequency domain analysis method uses the calculation formula Where f is the target frequency, k is the imaginary unit, and e is the natural constant, in order to realize the conversion of time domain temperature data into frequency domain data, so that the periodic characteristics and frequency distribution of the temperature change in the tank can be identified. Through frequency domain analysis, it is possible to effectively detect whether there is an abnormal pattern in the temperature fluctuation of the liquid in the tank. For example, periodic fluctuations represent certain problems in the electrolysis process, and finally the frequency domain distribution of the etching liquid temperature in the tank T(f) is obtained.

[0115] Furthermore, the flexibly adjusting the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array based on the electrolytic cell operation state and electrolytic cell operation requirements includes:

[0116] Based on the operation status and operation requirements of the electrolytic cell, a dynamic temperature distribution analysis is performed on the corresponding temperature sensor positions in the multi-point temperature sensing array to obtain a thermal distribution characteristic model of the electrolytic cell to reflect the temperature distribution corresponding to the position of each temperature sensor;

[0117] In an embodiment of the present invention, by combining the previously acquired electrolytic cell operating state (such as the current, pressure, operating temperature, etc. of the electrolytic cell) and the electrolytic cell operating requirements (such as the temperature range required for stable electrolytic reaction, temperature fluctuation tolerance, etc.), a comprehensive consideration is taken, and real-time acquisition of multi-point temperature sensor data in different areas inside the electrolytic cell is realized to collect the temperature value changes at the locations where the temperature sensors are located. The temperature sensor array uses a group of sensors distributed at different parts of the electrolytic cell (such as the upper part, bottom, side wall, etc. of the cell body). The temperature data at these locations are collected by a special temperature sensor module. The measurement accuracy of each sensor is ±0.1°C. A data acquisition system (such as a PLC or DCS system) is used to analyze the operating state of the electrolytic cell according to the real-time monitoring system to construct a thermal distribution characteristic model. This model can reflect the temperature change law of different parts of the electrolytic cell and the heat conduction relationship between the parts, forming a dynamic thermal distribution characteristic map, thereby obtaining the temperature change trend at different positions, and finally obtaining the electrolytic cell thermal distribution characteristic model.

[0118] Preferably, the temperature change regions are divided for the corresponding temperature sensor locations in the multi-point temperature sensing array based on the electrolytic cell thermal distribution characteristic model, so as to obtain the electrolytic cell temperature monitoring change region division result, which includes the temperature violent fluctuation region and the temperature stable change region;

[0119] In an embodiment of the present invention, the temperature change area is divided for each temperature sensor position in the multi-point temperature sensor array by combining the previously constructed electrolytic cell thermal distribution characteristic model, so as to determine which areas in the electrolytic cell have large temperature fluctuations and which areas have relatively stable temperature changes by analyzing the thermal distribution characteristic model. In the specific operation process, the temperature state of different areas is defined by using indicators such as temperature fluctuation amplitude and change rate. For areas with more drastic temperature fluctuations, they can be calibrated as areas with drastic temperature fluctuations by setting temperature change thresholds (such as fluctuation amplitudes of ±2°C or ±5°C); and for areas with relatively stable temperature changes, they are calibrated as areas with stable temperature changes. The data of each temperature sensor is processed by a data processing platform, and the temperature monitoring change area is delineated based on the fluctuation rate and thermal balance analysis. In this process, mathematical methods such as polynomial fitting and fluctuation analysis are used to accurately analyze the temperature data to ensure that the divided areas meet the actual operation requirements and can reflect the temperature state changes of each area in the electrolytic cell in real time, and finally the electrolytic cell temperature monitoring change area division result is obtained, which includes areas with drastic temperature fluctuations and areas with stable temperature changes.

[0120] Preferably, based on the result of the division of the electrolytic cell temperature monitoring change area, the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array is flexibly adjusted to obtain a flexible operating sampling frequency.

[0121] In an embodiment of the present invention, the sampling frequency of the multi-point temperature sensor is flexibly adjusted by combining the previously obtained electrolytic cell temperature monitoring change area division result to achieve a higher sampling frequency (such as sampling once per second) for the temperature sensor in the area where the temperature fluctuates violently, ensuring that the detailed changes in the temperature fluctuations can be quickly captured so as to promptly discover potential abnormal conditions or dangerous fluctuations. In these areas where the temperature changes violently, after the real-time data is fed back to the monitoring system, the system responds quickly according to the set threshold, and issues an alarm or adjustment. Relatively speaking, for areas where the temperature changes are relatively stable, the sampling frequency of the temperature sensor can be set to a lower frequency (such as sampling once per minute). This can reduce the processing burden of the system, while effectively saving energy and storage space, improving the monitoring efficiency and response speed, and ultimately obtaining a flexible operating sampling frequency.

[0122] Furthermore, the flexible operation sampling frequency is specifically to set a higher sampling frequency for areas with drastic temperature fluctuations, so as to sample once per second; and to set a lower sampling frequency for areas with stable temperature changes, so as to sample once per minute.

[0123] In the implementation of the present invention, if the area previously divided is an area of ​​drastic temperature fluctuations, it is necessary to set a higher sampling frequency, so that sampling is performed once per second; and if the area previously divided is an area of ​​stable temperature changes, it is necessary to set a lower sampling frequency, so that sampling is performed once per minute.

[0124] Furthermore, the tank temperature and energy consumption impact analysis module includes the following functions:

[0125] Obtaining the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic cell;

[0126] In an embodiment of the present invention, current and voltage sensors installed on both sides of the electrolytic cell are used to monitor and record the current and voltage changes of the acid etching solution during the electrolysis process in real time. The current sensor uses the Hall effect principle or current transformer for measurement to obtain the real-time current value during the electrolysis process, and the voltage sensor can use a high-precision digital voltmeter to connect the electrodes of the electrolytic cell to detect the potential difference inside and outside the electrolytic cell. The monitoring system collects data through the data acquisition system to ensure that the current and voltage values ​​at each moment can accurately reflect the changes in electrical parameters during the electrolysis process. The data acquisition system needs to have high real-time performance, be able to process high-frequency current and voltage fluctuation data, and store the data in a database, and finally obtain the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic cell.

[0127] Preferably, based on the current and voltage corresponding to the electrolysis process of the acidic etching solution, the input power and the energy required for the electrolysis reaction of the corresponding acidic etching solution electrolysis process in the electrolytic cell are analyzed to obtain the input power E of the etching solution electrolysis process. in = V × I × t and the energy required for the electrolytic reaction of the etching solution Where V is the voltage, I is the current, t is the electrolysis process time, n is the number of moles of electrons involved in the electrolysis reaction, E cell is the standard cell voltage required for the electrolysis reaction;

[0128] In the embodiment of the present invention, the input electric energy of the electrolysis process of the acidic etching solution in the electrolytic cell is calculated by combining the current and voltage corresponding to the electrolysis process of the acidic etching solution previously obtained in real time, which can be calculated by the following formula: E in =V×I×t, where E in represents the input electrical energy, V is the voltage, I is the current, and t is the electrolysis process time. Next, the energy required for the electrolysis reaction is calculated based on the number of electrons involved in the electrolysis reaction and the standard cell voltage of the reaction. The required energy is calculated using the following formula: Where E re represents the energy required for the electrolytic reaction, n is the number of moles of electrons involved in the electrolytic reaction, E cellis the standard battery voltage required for the electrolysis reaction, V is the voltage, and I is the current. Finally, the input electrical energy of the etching solution electrolysis process and the energy required for the etching solution electrolysis reaction are obtained.

[0129] Preferably, the electric energy E is input according to the electrolysis process of the etching solution. in And the energy E required for the electrolytic reaction of the etching solution re Quantitative calculation of energy loss and conversion efficiency is performed to obtain the energy loss E of the electrolysis reaction in the tank. in ―E re And the energy conversion efficiency of the electrolytic reaction in the cell

[0130] In the embodiment of the present invention, the electric energy E input during the electrolysis process of the etching solution is calculated previously. in And the energy E required for the electrolytic reaction of the etching solution re The energy loss and energy conversion efficiency are quantified, where the energy loss is calculated by the following formula: E in ―E re , and the energy conversion efficiency is calculated by the following formula: Through these calculations, the energy loss and electricity conversion efficiency in the electrolysis process can be obtained, and the energy utilization efficiency in the electrolytic cell can be evaluated, and finally the energy loss of the electrolytic reaction in the cell and the energy conversion efficiency of the electrolytic reaction in the cell can be obtained.

[0131] Preferably, the energy loss of the electrolytic reaction in the tank and the energy conversion efficiency of the electrolytic reaction in the tank are regionally decomposed to obtain the reaction energy loss E corresponding to each reaction area position. loss,j and reaction energy conversion efficiency η j , where j is the item index corresponding to the reaction area position; according to the reaction energy loss E corresponding to each reaction area position loss,j and reaction energy conversion efficiency η j Perform electrolyte energy consumption analysis to obtain the electrolyte energy consumption distribution in the tank Q = [Q loss,1 ,…,Q loss,j ],in and is the electrolysis energy consumption in the cell corresponding to the position of the jth reaction area;

[0132] In the embodiment of the present invention, the previously quantified calculated energy loss of the electrolytic reaction in the electrolytic cell and the energy conversion efficiency of the electrolytic reaction in the electrolytic cell are decomposed into regions based on the reaction regions at different positions in the electrolytic cell. This process firstly numbers and divides the positions of different reaction regions in the electrolytic cell. The division of the reaction regions is based on factors such as the current density and electrolyte concentration at different positions in the electrolytic cell. The energy loss and energy conversion efficiency are further quantified by region, so as to quantify the reaction energy loss E corresponding to each reaction region position. loss,j =E in,j ―E re,j , where j is the item index corresponding to the position of the reaction area, E in,j is the input energy corresponding to the jth reaction region position, E re,j is the energy required for the electrolysis reaction corresponding to the jth reaction area position, and the reaction energy conversion efficiency corresponding to each reaction area position is quantitatively calculated. At the same time, the reaction energy loss F corresponding to each reaction area position obtained by the previous decomposition calculation loss,j and reaction energy conversion efficiency η j The electrolysis energy consumption is quantitatively calculated using the following calculation formula: And is the electrolysis energy consumption in the tank corresponding to the jth reaction area position, and the electrolysis energy consumption at each reaction area position is combined into an energy consumption distribution set, and finally the electrolyte energy consumption distribution Q in the tank is obtained = [Q loss,1 ,…,Q loss,j ].

[0133] Preferably, the central processing system is used to perform a time series impact analysis between temperature fluctuation and energy consumption on the frequency domain distribution of the etching solution temperature in the tank and the energy consumption distribution of the electrolyte in the tank, so as to obtain the time series correlation impact between the temperature fluctuation in the tank and the electrolysis energy consumption.

[0134] In the embodiment of the present invention, the central processing system performs the same frequency domain analysis on the previously obtained energy consumption distribution of the electrolyte in the tank, and performs synchronous analysis of the time series, so as to use the data processing software to synchronously analyze the temperature fluctuation and energy consumption distribution data, and obtain the frequency domain distribution of the temperature fluctuation in the tank under the same time series range. Frequency domain distribution of electrolysis energy consumption In addition, the frequency domain phase difference Δφ(f)=a(T(f))-a(Q(f)) between temperature fluctuation and energy consumption is obtained by quantitative calculation, where a(T(f)) is the phase of the temperature signal at the target frequency f, and a(Q(f)) is the phase of the electrolysis energy consumption signal at the target frequency f. Then, the timing correlation influence between temperature fluctuation and energy consumption is calculated by the following formula: Where ε is the temporal correlation between the temperature fluctuation in the tank and the electrolysis energy consumption, f max By taking the maximum target frequency as the maximum target frequency, the influence of temperature changes on the energy efficiency of the electrolytic cell can be identified, the energy management of the electrolysis process can be further optimized, energy waste or decreased electrolysis efficiency caused by temperature fluctuations can be avoided, and the temporal correlation influence between the temperature fluctuation in the cell and the electrolysis energy consumption can be finally obtained.

[0135] Furthermore, the use of the central processing system to analyze the time series impact between temperature fluctuation and energy consumption on the frequency domain distribution of the etching solution temperature in the tank and the energy consumption distribution of the electrolyte in the tank includes:

[0136] Based on the corresponding temperature time series distribution in the temperature frequency domain distribution of the etching solution in the tank, the energy consumption distribution of the electrolyte in the tank is processed synchronously by the central processing system to obtain the corresponding time series distribution of the electrolytic energy consumption in the tank in the same time range. i ,…,Q′ N ],in And Q′ i is the average energy consumption of electrolysis in the tank corresponding to the i-th time point, Q loss,j,i is the electrolysis energy consumption in the cell corresponding to the position of the jth reaction area at the i-th time point;

[0137] In the embodiment of the present invention, the energy consumption distribution of the electrolyte in the tank previously obtained by quantitative calculation is synchronously processed in the central processing system by combining the time points corresponding to the temperature time series distribution in the temperature frequency domain distribution of the etching solution in the tank, so as to perform arithmetic average calculation on the electrolytic energy consumption in the tank corresponding to each reaction area position at each time point, and quantitatively calculate the mean value of the electrolytic energy consumption in the tank corresponding to the i-th time point. Where Q loss,j,i The electrolysis energy consumption in the tank corresponding to the position of the jth reaction area at the ith time point is calculated, and the electrolysis energy consumption calculated by arithmetic mean at each time point is combined into a time series distribution set, and finally the time series distribution of the electrolysis energy consumption in the tank corresponding to the same time range is obtained. Q′=[Q′1,…,Q′ i ,…,Q′ N ].

[0138] Preferably, the time series distribution of the electrolysis energy consumption in the tank is subjected to frequency domain analysis to obtain the frequency domain distribution of the electrolysis energy consumption in the tank:

[0139]

[0140] In an embodiment of the present invention, a corresponding frequency domain analysis is performed on the previously quantified and calculated time series distribution of the electrolysis energy consumption in the tank to further reveal the frequency domain distribution characteristics of the energy consumption in the tank. First, the obtained electrolysis energy consumption time series data is converted into a frequency domain signal using a frequency domain analysis tool such as a fast Fourier transform (FFT). The frequency domain analysis can extract different frequency components in the time series data and reveal the energy distribution of the electrolysis process in the tank at each frequency. The corresponding electrolysis energy consumption time series distribution is calculated using the following calculation formula: Finally, the frequency domain distribution Q(f) of the electrolysis energy consumption in the cell is obtained.

[0141] Preferably, a frequency domain phase difference is quantitatively calculated based on the frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank to obtain a frequency domain phase difference Δφ(f)=a(T(f))-a(Q(f)) between the temperature fluctuation and energy consumption in the tank, wherein a(T(f)) is the phase of the temperature signal at the target frequency f, and a(Q(f)) is the phase of the electrolysis energy consumption signal at the target frequency f;

[0142] In an embodiment of the present invention, the frequency domain phase difference is quantitatively calculated based on the frequency domain distribution of the temperature fluctuation in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank obtained by previous analysis. The phase difference calculation is usually performed by comparing the phase difference of the two signals at a specific frequency. In this step, it is first necessary to extract the phase information of the temperature signal in the tank and the electrolysis energy consumption signal at their respective target frequencies. These phase information can be obtained by the phase spectrum obtained after Fourier transform, such as a(T(f)) and a(Q(f)), where a(T(f)) is the temperature signal at The phase at the target frequency f, a(Q(f)) is the phase of the electrolysis energy consumption signal at the target frequency f, and when calculating the phase difference, for each target frequency, the phase difference between the temperature signal in the tank and the electrolysis energy consumption signal is obtained by comparing their phase values. The phase difference can quantitatively represent the time delay or sequence relationship between temperature fluctuation and energy consumption in the frequency domain, revealing the frequency domain correlation between temperature fluctuation and electrolysis energy consumption, and finally obtaining the frequency domain phase difference Δφ(f)=a(T(f))-a(Q(f)) between the temperature fluctuation in the tank and the energy consumption.

[0143] Preferably, based on the frequency domain phase difference Δφ(f) between the temperature fluctuation in the tank and the energy consumption, the timing correlation influence calculation formula is used to perform timing influence quantification calculation on the frequency domain distribution of the etching liquid temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank to obtain the timing correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption.

[0144] In an embodiment of the present invention, by utilizing the frequency domain phase difference between the temperature fluctuation and the electrolysis energy consumption obtained previously and using a suitable timing correlation influence calculation formula to quantify the corresponding frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank, the timing relationship between the temperature fluctuation and the energy consumption at different frequencies can be quantified based on the frequency domain phase difference information obtained previously. The timing correlation influence calculation formula will consider factors such as phase difference and frequency component, and comprehensively measure the direct or indirect impact of the temperature change in the tank on the electrolysis energy consumption, wherein the timing correlation influence calculation formula is specifically: Among them, ε is the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption, f max is the maximum target frequency. Specifically, the calculation formula quantifies the influence of temperature fluctuation on the electrolysis energy consumption in the tank at each time point through the autocorrelation, cross-correlation and phase difference between the temperature frequency component and the energy consumption frequency component, thereby obtaining a comprehensive time series correlation influence degree. This influence degree can be used to reflect the actual influence intensity and correlation of temperature fluctuation on energy consumption under different frequency components, and finally obtain the time series correlation influence degree between the temperature fluctuation in the tank and the electrolysis energy consumption.

[0145] Furthermore, the temporal correlation influence calculation formula is specifically as follows:

[0146]

[0147] Among them, ε is the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption, f max is the maximum target frequency.

[0148] The present invention obtains a timing correlation influence calculation formula by using a specific mathematical model and verifying it, which is used to quantify the timing influence of the frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank. The formula fully considers the timing correlation influence ε between the temperature fluctuation in the tank and the electrolysis energy consumption, the maximum target frequency f max , the frequency domain distribution of the etching solution temperature in the tank T(f), the frequency domain distribution of the electrolysis energy consumption in the tank Q(f), the frequency domain phase difference between the temperature fluctuation and energy consumption in the tank Δφ(f), the target frequency f, the imaginary unit j, where It represents the cross-correlation result between the frequency domain distribution of the etching solution temperature in the tank T(f) and the frequency domain distribution of the electrolytic energy consumption in the tank Q(f), represents the autocorrelation result between the frequency domain distribution T(f) of the etching solution temperature in the tank, and represents the autocorrelation result between the frequency domain distribution of electrolysis energy consumption Q(f) in the tank, e ―kΔφ(f)It is the phase difference correction factor in the frequency domain, which adjusts the relative phase of the temperature signal and the energy consumption signal so that their synchronization degree at the frequency f can be accurately calculated. According to the temporal correlation influence degree ε between the temperature fluctuation in the tank and the electrolysis energy consumption and the mutual correlation between the above parameters, a functional relationship is formed:

[0149]

[0150] This formula can realize the quantitative calculation process of the time series influence of the frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolytic energy consumption in the tank. At the same time, by quantitatively analyzing the interaction between temperature and electrolytic energy consumption in the frequency domain, the time series correlation between them can be revealed. By introducing the phase difference Δφ(f), this formula can evaluate whether there is synchronization or delay between temperature fluctuation and energy consumption at different frequencies, thereby helping researchers understand the dynamic relationship between the two. For example, if the phase difference is close to 0° at a certain frequency, it means that the changes between temperature fluctuation and energy consumption have a high degree of synchronization; if the phase difference is large, it may indicate that there is a lag in the impact of temperature change on energy consumption. The temperature and electrolytic energy consumption are also converted through frequency domain analysis to extract the relative change characteristics of the two in different frequency ranges. Traditional time domain analysis will be disturbed by signal noise and short-term fluctuations, while frequency domain analysis can better separate and capture the essential relationship between temperature fluctuation and electrolytic energy consumption, especially at certain specific frequencies. This processing method helps to reveal the potential relationship between the two, especially when the dynamic behavior of the system is periodic or oscillatory. In addition, in the formula, the amplitude and phase information of the temperature signal and the electrolysis energy consumption signal jointly participate in the calculation of the timing correlation impact. By combining the amplitude and phase, the relationship between temperature and energy consumption can be more comprehensively evaluated. This method not only relies on the change in signal strength, but also considers their relative position in time or frequency (ie, phase difference), thereby capturing the potential time delay or synchronization phenomenon between temperature and energy consumption, thereby improving the accuracy and applicability of the timing correlation impact calculation formula.

[0151] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0152] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A central monitoring and early warning system for electrolytic cell temperature, characterized in that: Includes the following modules: The frequency domain analysis module of the temperature in the tank is used to form a multi-point temperature sensing array by arranging temperature sensors at key positions in the electrolytic tank; The temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array is concentrated to the central processing system through wireless transmission to perform frequency domain analysis to obtain the frequency domain distribution of the etching solution temperature in the tank; The temperature and energy consumption impact analysis module in the tank is used to obtain the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic tank, and perform electrolyte energy consumption analysis based on the current and voltage corresponding to the electrolysis process of the acid etching solution to obtain the electrolyte energy consumption distribution in the tank; The central processing system is used to analyze the time series impact between temperature fluctuation and energy consumption on the frequency domain distribution of the etching solution temperature in the tank and the energy consumption distribution of the electrolyte in the tank, and the time series correlation impact between the temperature fluctuation in the tank and the electrolytic energy consumption is obtained; The module for adjusting the abnormal response to electrolysis intensity in the tank is used to design and implement targeted abnormal response measures for electrolysis energy consumption if it is judged that the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually increasing and the temperature fluctuation in the tank shows a continuous upward trend, including automatically adjusting the electrolysis intensity or power of the electrolytic tank to reduce the electrolysis energy consumption, and outputting abnormal response measures for electrolysis energy consumption; The abnormal warning adjustment module for low temperature in the tank is used to design and implement targeted abnormal temperature warning heating response measures if it is judged that the time series correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is gradually decreasing and the temperature fluctuation in the tank shows a continuous downward trend, including warning the generation of abnormal low temperature signals, and automatically adjusting the heating device corresponding to the electrolytic tank according to the abnormal low temperature signals to prevent the electrolysis efficiency from decreasing; The impact analysis module is iteratively executed in the slot, and is used to continue iteratively executing the timing impact analysis between the corresponding temperature fluctuation and energy consumption if it is judged as the other situation.

2. The electrolytic cell temperature central monitoring and early warning system according to claim 1 is characterized in that: The frequency domain analysis module of the temperature in the slot includes the following functions: Obtaining the fluid flow, heat conduction characteristics and heat release of the electrolytic reaction in the electrolytic cell, and establishing a reaction temperature distribution model in the electrolytic cell based on the fluid flow, heat conduction characteristics and heat release of the electrolytic reaction in the electrolytic cell; The reaction temperature distribution model was numerically simulated and experimentally verified to determine the key locations for temperature sensing in the electrolytic cell, including the inlet, outlet, bottom, near the electrodes, and the cell wall. Obtain the response time, measurement range and measurement accuracy of the temperature sensor, and consider the complexity of the internal environment of the electrolytic cell, including the concentration of the etching solution and the strong electric field, so as to design and generate sensor layout constraints; plan the layout of the corresponding temperature sensors according to the sensor layout constraints and the key positions of temperature perception in the electrolytic cell, so as to generate a layout plan for the temperature sensors in the cell, including reasonably arranging the number, layout method and layout depth of each temperature sensor; Obtain the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, and optimize the in-cell layout adaptability of the in-cell temperature sensor layout plan based on the installation space in the electrolytic cell, the interference range of the electrode device, and the technical requirements for the operation of the electrolytic cell, so as to generate an in-cell sensing space layout adaptation plan; redesign and arrange the corresponding temperature sensors according to the in-cell sensing space layout adaptation plan, and connect them with the central processing system to form a multi-point temperature sensor array; The temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array is concentrated to the central processing system through wireless transmission for frequency domain analysis to obtain the frequency domain distribution of the etching liquid temperature in the tank.

3. The electrolytic cell temperature central monitoring and early warning system according to claim 2 is characterized in that: The temperature sensor is specifically an infrared temperature sensor, a thermocouple sensor or a digital temperature sensor.

4. The electrolytic cell temperature central monitoring and early warning system according to claim 2 is characterized in that: The optimization of the arrangement adaptability of the temperature sensor in the electrolytic cell based on the installation space in the electrolytic cell, the interference range of the electrode device and the technical requirements for the electrolytic cell operation includes: Obtain the physical structure and internal layout of the electrolytic cell, and perform a spatial constraint analysis on the installation space in the electrolytic cell based on the physical structure and internal layout of the electrolytic cell, and generate the installation space restriction constraints in the electrolytic cell to take into account the size, shape, placement of the electrode device, and space occupied by the supporting equipment of the electrolytic cell; Based on the interference range of the electrode device, the electromagnetic and thermal interference simulation analysis is performed on the corresponding temperature sensor arrangement position in the in-tank temperature sensor arrangement scheme, and the in-tank temperature sensor interference simulation field is generated to quantify the electromagnetic interference and thermal disturbance distribution of the electrode device on the temperature sensor; Based on the installation space restriction in the electrolytic cell and the interference simulation field of the temperature sensor in the cell, the position constraint optimization analysis of the corresponding temperature sensor arrangement position in the temperature sensor arrangement scheme in the cell is performed to obtain the optimal arrangement scheme of the temperature sensor in the cell, so as to exclude the corresponding position area affected by space restriction, electromagnetic interference or excessive heat flow; Based on the technical requirements of electrolytic cell operation, the optimal layout plan of the temperature sensor in the cell is dynamically adaptively adjusted to generate an adaptive layout plan for the sensing space in the cell.

5. The electrolytic cell temperature central monitoring and early warning system according to claim 2 is characterized in that: The method of centralizing the temperature signal distribution in the tank monitored in real time by the multi-point temperature sensor array to the central processing system for frequency domain analysis by wireless transmission includes: Obtaining the electrolytic cell operating status and electrolytic cell operating requirements; Based on the operation status and operation requirements of the electrolytic cell, the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array is flexibly adjusted to obtain a flexible operation sampling frequency; By starting the corresponding temperature sensors in the multi-point temperature sensing array to monitor the temperature signal of the electrolytic cell in real time according to the flexible operation sampling frequency, the temperature signal data source in the cell is obtained; The temperature data source of the temperature signal in the tank is cleaned and preprocessed, including removing signal noise, removing abnormal signals and time series smoothing, so as to obtain the time series distribution of the temperature signal in the tank T=[T1,T2,…,T i ,…,T N ], where i is the item index corresponding to the time point, N is the total number of time points, T i =[t i1 ,t i2 ,t i3 ,t i4 ,t i5 ], where t i1 ,t i2 ,t i3 ,t i4 ,t i5 are the temperatures corresponding to the liquid inlet, liquid outlet, bottom, near the electrode and the cell wall of the electrolytic cell at the i-th time point; The time series distribution of the temperature signal in the tank is transmitted to the central processing system by wireless transmission for frequency domain analysis to obtain the frequency domain distribution of the etching liquid temperature in the tank: Among them, f is the target frequency, k is the imaginary unit, and e is the natural constant.

6. The electrolytic cell temperature central monitoring and early warning system according to claim 5, characterized in that: The flexibly adjusting the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array based on the electrolytic cell operation state and the electrolytic cell operation requirements includes: Based on the operation status and operation requirements of the electrolytic cell, a dynamic temperature distribution analysis is performed on the corresponding temperature sensor positions in the multi-point temperature sensing array to obtain a thermal distribution characteristic model of the electrolytic cell to reflect the temperature distribution corresponding to the position of each temperature sensor; Based on the electrolytic cell thermal distribution characteristic model, the temperature change area is divided for the corresponding temperature sensor positions in the multi-point temperature sensing array to obtain the electrolytic cell temperature monitoring change area division result, which includes the temperature violent fluctuation area and the temperature stable change area; Based on the results of the zone division of the electrolytic cell temperature monitoring change, the sampling frequency of the corresponding temperature sensors in the multi-point temperature sensing array is flexibly adjusted to obtain a flexible operating sampling frequency.

7. The electrolytic cell temperature central monitoring and early warning system according to claim 6, characterized in that: The flexible operation sampling frequency is specifically to set a higher sampling frequency for areas with drastic temperature fluctuations, so as to sample once per second; and to set a lower sampling frequency for areas with stable temperature changes, so as to sample once per minute.

8. The electrolytic cell temperature central monitoring and early warning system according to claim 1 is characterized in that: The tank temperature and energy consumption impact analysis module includes the following functions: Obtaining the current and voltage corresponding to the electrolysis process of the acid etching solution in the electrolytic cell; Based on the current and voltage corresponding to the electrolysis process of the acid etching solution, the input power and the energy required for the electrolysis reaction of the corresponding acid etching solution electrolysis process in the electrolytic cell are analyzed to obtain the input power E of the etching solution electrolysis process. in = V × I × t and the energy required for the electrolytic reaction of the etching solution Where V is the voltage, I is the current, t is the electrolysis process time, n is the number of moles of electrons involved in the electrolysis reaction, E cell is the standard cell voltage required for the electrolysis reaction; Input electric energy E according to the electrolysis process of etching solution in And the energy E required for the electrolytic reaction of the etching solution re Quantitative calculation of energy loss and conversion efficiency is performed to obtain the energy loss E of the electrolysis reaction in the tank. in ―E re And the energy conversion efficiency of the electrolytic reaction in the cell The energy loss of the electrolytic reaction in the tank and the energy conversion efficiency of the electrolytic reaction in the tank are regionally decomposed to obtain the reaction energy loss E corresponding to each reaction area position. loss,j and reaction energy conversion efficiency η j , where j is the item index corresponding to the reaction area position; according to the reaction energy loss E corresponding to each reaction area position loss,j and reaction energy conversion efficiency η j Perform electrolyte energy consumption analysis to obtain the electrolyte energy consumption distribution in the tank Q = [Q loss,1 ,…,Q loss,j ],in and is the electrolysis energy consumption in the cell corresponding to the position of the jth reaction area; The central processing system is used to analyze the time series impact between temperature fluctuation and energy consumption on the frequency domain distribution of etching solution temperature in the tank and the energy consumption distribution of electrolyte in the tank, and the time series correlation impact between temperature fluctuation in the tank and electrolytic energy consumption is obtained.

9. The electrolytic cell temperature central monitoring and early warning system according to claim 8, characterized in that: The use of the central processing system to analyze the time series impact between temperature fluctuation and energy consumption on the frequency domain distribution of the etching solution temperature in the tank and the energy consumption distribution of the electrolyte in the tank includes: Based on the corresponding temperature time series distribution in the temperature frequency domain distribution of the etching solution in the tank, the central processing system is used to perform time series synchronization processing on the energy consumption distribution of the electrolyte in the tank to obtain the corresponding time series distribution Q of the electrolytic energy consumption in the tank under the same time series range. ′ =[Q′1,…,Q′ i ,…,Q′ N ],in And Q′ i is the average energy consumption of electrolysis in the tank corresponding to the i-th time point, Q loss,j,i is the electrolysis energy consumption in the cell corresponding to the position of the jth reaction area at the i-th time point; Perform frequency domain analysis on the time series distribution of electrolysis energy consumption in the tank to obtain the frequency domain distribution of electrolysis energy consumption in the tank: The frequency domain phase difference is quantitatively calculated according to the frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank, so as to obtain the frequency domain phase difference Δφ(f)=a(T(f))-a(Q(f)) between the temperature fluctuation and the energy consumption in the tank, wherein a(T(f)) is the phase of the temperature signal at the target frequency f, and a(Q(f)) is the phase of the electrolysis energy consumption signal at the target frequency f; Based on the frequency domain phase difference Δφ(f) between the temperature fluctuation in the tank and the energy consumption, the timing correlation influence calculation formula is used to quantify the timing influence of the frequency domain distribution of the etching solution temperature in the tank and the frequency domain distribution of the electrolysis energy consumption in the tank, and the timing correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption is obtained.

10. The electrolytic cell temperature central monitoring and early warning system according to claim 9, characterized in that: The calculation formula of the temporal correlation influence is specifically: Among them, ε is the temporal correlation influence between the temperature fluctuation in the tank and the electrolysis energy consumption, f max is the maximum target frequency.

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