Industrial hazardous waste liquid storage tank state on-line monitoring and early warning system

Abstract

The invention discloses an industrial hazardous waste liquid storage tank state on-line monitoring and early warning system, and relates to the technical field of industrial hazardous liquid management.The system collects electrochemical reaction data deposited at the bottom of a storage tank in real time through a sensor set arranged in the storage tank; preprocessing and outputting an electrochemical fluctuation data set, a thermal dynamic behavior data set and a liquid level disturbance response data set; according to the method, electrochemical coupling evaluation is carried out by calculating a local electrochemical coupling index dho, a thermal delay activation index ryj and a disturbance release fluctuation index rsb are calculated when electrochemical coupling evaluation is carried out on a deposition layer, and finally deposition activation risk evaluation is carried out by calculating a deposition activation comprehensive risk index chf. And risk information is generated according to an evaluation result to automatically execute corresponding response operation, the system has an electrochemical, thermal and disturbance triple coupling sensing capability and a dynamic response control capability, and the accuracy of storage tank sediment activation state identification and the effectiveness of early warning response are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial hazardous liquid management, in particular to an online monitoring and early warning system for the state of an industrial hazardous waste liquid storage tank. BACKGROUND

[0002] In modern industrial processes, hazardous waste liquid is a by-product with high reactivity and high risk. Its storage method directly affects the safety and environmental stability of the entire production system. During storage, due to long-term standing and complex material composition, sedimentation often occurs at the bottom of the liquid storage tank. These sediments not only have electrochemical activity, but also may trigger self-catalytic reactions due to temperature changes or disturbances, leading to uncontrolled release or energy accumulation. Therefore, around the state change process of the sediments, online monitoring has become a necessary means to achieve early identification of risks and prevention of accidents. Among the many monitoring indicators, electrochemical coupling behavior, thermal disturbance response, and liquid surface dynamic change constitute important triggers for sediment activation and become the core analysis direction for judging the stability of the storage tank operation. In order to achieve predictive control, comprehensive modeling and risk analysis of the electrochemical process linkage and thermal disturbance amplification effect have become a hot topic in research and engineering applications.

[0003] The current liquid storage tank safety management system still mainly relies on periodic detection, single-point signal triggering, fixed value alarm, or manual intervention after threshold overrun. This mode generally has problems such as early warning lag and weak risk identification ability, especially in identifying the energy accumulation and electrochemical perturbation behavior in the bottom sedimentation area. Conventional detection methods are not easy to track the subtle potential fluctuations, conductivity changes, and disturbance frequency evolution process in the sedimentation area, and lack a response mechanism for complex physical and chemical state evolution. In addition, existing systems have limited understanding of the nonlinear interaction between multiple variables, and lack effective modeling methods to integrate multi-source information such as electric field, thermal field, and mechanical disturbance, making it difficult to reflect the process of sediment layer from stable to critical instability, resulting in single early warning results, high misjudgment rate, and lagging control measures. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides an online monitoring and early warning system for the state of an industrial hazardous waste liquid storage tank, which solves the problems in the background art.

[0005] To achieve the above purpose, the present application realizes the following technical scheme: an online monitoring and early warning system for the state of an industrial hazardous waste liquid storage tank, comprising a dynamic acquisition module, an electrochemical coupling evaluation module, a sediment activation analysis module, a comprehensive risk evaluation module, and a hierarchical response module; The dynamic acquisition module is used to acquire electrochemical reaction data in real time according to the installed sensor group, and transmit the data to the data processing center for preprocessing, outputting an electrochemical fluctuation data set, a thermal dynamic behavior data set, and a liquid surface disturbance response data set. The electrochemical coupling assessment module is used to calculate the local electrochemical coupling index dho based on the electrochemical fluctuation data set to perform electrochemical coupling assessment. The deposition activation analysis module is used to calculate the thermal delayed activation index ryj and the disturbance release fluctuation index rsb based on the thermal dynamic behavior data set and the liquid surface disturbance response data set when the electrochemical coupling assessment indicates that electrochemical coupling exists in the deposition layer. The comprehensive risk assessment module is used to comprehensively calculate the comprehensive risk index chf of deposition activation based on the local electrochemical coupling index dho, the thermal delay activation index ryj, and the disturbance release fluctuation index rsb, and to assess the risk of deposition activation. Based on the assessment results, risk information is generated and transmitted to the hierarchical response module. The hierarchical response module is used to receive risk information in real time and execute relevant instructions and operations based on the risk information.

[0006] Preferably, the dynamic acquisition module includes a data acquisition unit, a data transmission unit, and a data processing unit; The data acquisition unit is used to collect electrochemical reaction data deposited at the bottom of the storage tank in real time based on the sensor group installed inside the storage tank. The sensor array includes a quadrupole conductivity sensor, a differential electric field sensor array, an industrial thermocouple, a laser level radar sensor, and an acceleration sensor array. The quadrupole conductivity sensor is installed near the center of the bottom of the storage tank to collect the conductivity (ec) of the deposited material at the bottom of the tank in real time. The collection frequency is set to once per second, forming a conductivity time series S. The specific form of the conductivity time series S is: S = {ec(t1), ec(t2), ..., ec(t3)} n )}; The differential electric field sensor array is arranged at the center of the bottom of the tank to collect the electric field intensity eb deposited at the bottom of the tank in real time, which represents the local ion movement and potential gradient at the bottom and reflects the trend of charge distribution change. The industrial thermocouple is used to be placed at the liquid-solid interface at the bottom of the storage tank to collect the bottom temperature tb in real time, which indicates the degree of thermal reaction activity of the deposition. The laser level radar sensor is installed on the top of the storage tank to continuously collect the liquid level position h. The acceleration sensor array is installed on the upper inner wall of the storage tank to collect the vibration signal P caused by liquid disturbance in real time. The data transmission unit is used to establish a communication connection between the sensor group and the data processing center based on the wireless network, and to transmit the electrochemical reaction data to the data processing center in real time.

[0007] Preferably, the data processing unit is used to receive electrochemical reaction data in real time from the data processing center, and perform preprocessing to obtain electrochemical fluctuation data set, thermal dynamic behavior data set, and liquid surface disturbance response data set; The preprocessing includes denoising, outlier handling, missing value handling, dimensionless processing, conductivity analysis, liquid surface disturbance analysis, and disturbance frequency analysis. The denoising method uses wavelet decomposition to retain low-frequency principal components of electrochemical reaction data, suppress high-frequency noise, and remove unstructured high-frequency interference components from the electrochemical reaction data. Outlier processing uses the box plot IQR method to identify observation points that deviate significantly from the electrochemical reaction data pattern. Missing value processing is used to complete the electrochemical reaction data with sampling interruption and communication packet loss through interpolation. Dimensionless processing is performed by using Z-Score normalization to perform standard transformation on multiphysics data. The conductivity analysis is used to calculate the conductivity time series S based on the differential method to obtain the conductivity change rate dd, which represents the trend of ion migration intensity in the sediment at the bottom of the tank and reflects the activity of electrochemical reactions. Specifically: , In the formula, n represents the number of discrete data points, and ec(t) i ) and ec(t i+1 ) represent t respectively i Time and t i+1 Conductivity at time t; The liquid surface disturbance analysis is used to extract the maximum value max(h(t)) and minimum value min(h(t)) of the liquid surface position h(t) within the same time window in real time based on the obtained liquid surface position h. The difference is used to calculate the liquid surface disturbance amplitude rf, which represents the liquid surface fluctuation amplitude and reflects the gas release and agitation effect. Specifically, rf=max(h(t))-min(h(t)). The disturbance frequency analysis is used to extract the main frequency components of the vibration signal P based on the fast Fourier transform, and obtain the disturbance frequency rp, which represents the intensity and characteristics of the disturbance process. The electrochemical fluctuation data set includes the rate of change of conductivity dd and the electric field strength at the bottom of the tank eb; The thermal dynamic behavior data set includes the tank bottom temperature tb; The liquid surface disturbance response data set includes the liquid surface disturbance amplitude rf and the disturbance frequency rp.

[0008] Preferably, the electrochemical coupling evaluation module includes an electrochemical coupling analysis unit and an electrochemical coupling evaluation unit; The electrochemical coupling analysis unit is used for summary calculation according to the electrochemical fluctuation data set, and a local electrochemical coupling index dho is obtained, which is used for identifying the linkage degree of the conductivity change and the electric field intensity, and analyzing whether the deposition layer has entered an activatable state, and the specific formula is as follows: ; In the formula, t0 represents an initial monitoring time point, T represents a monitoring period, t m represents an electrochemical disturbance duration window, eb(t) represents an electric field intensity at the bottom of the storage tank at t, sin represents a sine function, represents a circular constant, and the value is two decimal places, and dt represents a time integral.

[0009] Preferably, the electrochemical coupling evaluation unit is used for pre-setting an electrochemical coupling threshold value Z, and performing electrochemical coupling evaluation on the local electrochemical coupling index dho obtained in real time, and the specific evaluation scheme is as follows: When the local electrochemical coupling index dho is less than the electrochemical coupling threshold value Z, it indicates that there is no electrochemical coupling of the deposition layer, and at this time, normal monitoring is maintained. When the local electrochemical coupling index dho is greater than or equal to the electrochemical coupling threshold value Z, it indicates that there is electrochemical coupling of the deposition layer, and at this time, a deposition activation analysis instruction is executed.

[0010] Preferably, the deposition activation analysis module is used for executing the deposition activation analysis instruction when the electrochemical coupling evaluation indicates that there is electrochemical coupling of the deposition layer, and specifically includes a thermal delay analysis unit and a disturbance analysis unit. The thermal delay analysis unit is used for summary calculation according to a thermal dynamic behavior data set, and a thermal delay activation index ryj is obtained, which is used for analyzing the influence of the latent heat slow-release reaction on the storage tank, that is, the influence of the chemical heat source inducement on the storage tank, and the specific formula is as follows: ; In the formula, t0 represents an initial monitoring time point, T represents a monitoring period, e represents an exponential function, w represents a lag adjustment factor, which is set by a user according to actual conditions, log represents a logarithmic function, tb(t) represents a temperature at the bottom of the storage tank at t, tb ref represents a standard state bottom temperature of the storage tank, and dt represents a time integral.

[0011] Preferably, the disturbance analysis unit is used for summary calculation according to a liquid surface disturbance response data set, and a disturbance release fluctuation index rsb is obtained, which is used for identifying the nonlinear frequency behavior of the gas disturbance release, that is, whether there is a gas accumulation trend evolution, and the specific formula is as follows: ; In the formula, T represents a monitoring period, N represents a frequency band number extracted from the disturbance frequency analysis in the monitoring period T, rf represents a frequency, and dt represents a time integral.k represents the amplitude of the liquid surface disturbance in the kth frequency band, log represents the logarithmic function, and rp k represents the abnormal disturbance frequency in the kth frequency band, represents the average value of the historical amplitude of the liquid surface disturbance in the kth frequency band, sin represents the sine function, and t m represents the electrochemical disturbance duration window.

[0012] Preferably, the comprehensive risk assessment module comprises a deposition risk analysis unit and an activation stability evaluation unit. The deposition risk analysis unit is used for comprehensive calculation according to the local electrochemical coupling index dho, the thermal delay activation index ryj, and the disturbance release fluctuation index rsb to obtain a deposition activation comprehensive risk index chf, and to comprehensively analyze whether the deposition layer enters the reaction activation and explosion boundary. The specific formula is as follows: ; In the formula, ln represents the logarithmic function.

[0013] Preferably, the activation stability evaluation unit is used for deposition activation risk evaluation according to the pre-set first deposition activation critical threshold A and the second deposition activation critical threshold B, and the real-time obtained deposition activation comprehensive risk index chf. The specific evaluation scheme is as follows: When the deposition activation comprehensive risk index chf is less than the first deposition activation critical threshold A, it indicates that the deposition activation is in a stable state, and the normal detection frequency is maintained. When the first deposition activation critical threshold A is less than or equal to the deposition activation comprehensive risk index chf and less than the second deposition activation critical threshold B, it indicates that the deposition activation is in an activation state, and the first risk information is generated at this time. When the deposition activation comprehensive risk index chf is greater than or equal to the second deposition activation critical threshold B, it indicates that the deposition activation is in a dangerous state, and the structure risk and chemical release risk of the bottom deposition of the storage tank exist at this time, and the second risk information is generated at this time. The risk information is transmitted to the hierarchical response module through a wireless network.

[0014] Preferably, the hierarchical response module is used for real-time receiving of risk information, and executes relevant instructions and operations according to the risk information, and the specific scheme is as follows: When the first risk information is received, the warning information is transmitted to the relevant personnel user end through a wireless network, the relevant personnel is informed to start the bottom cooling system and the gas adsorption function, and the sensor group is adjusted to increase the collection frequency by 50% and the system detection frequency by 50%; When the second risk information is received, the risk information is transmitted to the relevant personnel user end through a wireless network, and the relevant personnel is informed to immediately close the liquid inlet valve and open the slow-release valve exhaust.

[0015] The application provides an industrial hazardous waste liquid storage tank state online monitoring and early warning system. (1) The system dynamic acquisition module acquires the electrochemical reaction data deposited at the bottom of the storage tank in real time according to the sensor group installed in the storage tank, the quadrupole conductivity sensor accurately obtains ion migration activity, the differential electric field sensor array captures charge aggregation and gradient fluctuation, the industrial thermocouple reflects the heat reaction intensity, the laser liquid level radar obtains the liquid surface disturbance change in real time, and the acceleration array analyzes the wall vibration signal caused by liquid disturbance. After all the electrochemical reaction data are denoised, abnormal value processed, missing value processed, dimensionless processed, conductivity analyzed, liquid surface disturbance analyzed and disturbance frequency analyzed in the data processing center, the electrochemical fluctuation data group, the thermal dynamic behavior data group and the liquid surface disturbance response data group are formed to establish a basic signal system for subsequent evaluation. This full-scene perception ability from micro electrochemical reaction to macro liquid surface change constructs a continuous and high-dimensional description framework of the dynamic behavior of the deposition at the bottom of the storage tank, breaks through the limitation of traditional point detection, and provides real-time and quantifiable digital basis for the state of complex deposition layer.

[0016] (2) The system electrochemical coupling evaluation constructs a local electrochemical coupling index dho through the electrochemical fluctuation data group, and introduces an electrochemical coupling threshold Z for electrochemical coupling evaluation. When the local electrochemical coupling index dho exceeds the threshold electrochemical coupling threshold Z, it indicates that there is a trend of electrochemical reaction chain conduction at the bottom of the storage tank, and the deposition activation analysis instruction is triggered. The deposition activation analysis constructs a thermal delay activation index ryj and a disturbance release fluctuation index rsb through the thermal dynamic behavior data group and the liquid surface disturbance response data group, which respectively depict the evolution characteristics of latent heat accumulation and the nonlinear disturbance behavior of gas release in the storage tank. Finally, the three key indexes are fused into a deposition activation comprehensive risk index chf in the comprehensive risk evaluation module, and are processed through a nonlinear product relationship and a logarithmic modulation mechanism to enhance the identification sensitivity to the critical conversion interval, so that potential abnormalities can be captured when the reaction just germinates or accumulates to the critical point, and lag response is avoided. This process realizes the whole-chain risk modeling logic from micro coupling perception to thermal disturbance mapping to risk index quantification.

[0017] (3) The system grading response module completes the whole-process closed-loop management from the evaluation result to the actual intervention measure. In the risk grading mechanism, when the deposition activation comprehensive risk index chf is between the first deposition activation critical threshold A and the second deposition activation critical threshold B, the system automatically generates the first risk information, reminds the operator to start the bottom cooling system and activate the gas adsorption mechanism in real time, and at the same time, the sampling frequency of the sensor group is increased by 50%, the monitoring sensitivity of the system is enhanced, and the "active enhancement monitoring" strategy is realized. If the deposition activation comprehensive risk index chf exceeds the second deposition activation critical threshold B, it indicates that the deposition layer is at the edge of explosion or the structural damage risk interval, the system immediately pushes the second risk information, and executes the "structure conservative control" strategy, that is, closes the liquid inlet valve and opens the slow-release valve to exhaust, realizes the emergency intervention operation of inhibiting the development of the reaction from the source. This data-driven intelligent response mechanism not only greatly improves the controllability of the reaction chain evolution process, but also significantly reduces the artificial intervention delay through dynamic adjustment and remote linkage operation, improves the risk predictability and safety autonomy of the overall storage tank operation, and provides a forward-looking, practical and intelligent technical solution for the hazardous waste liquid management industry. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 FIG. 1 is a flowchart of an industrial hazardous waste liquid storage tank state online monitoring and early warning system according to the present application; Figure 2 FIG. 2 is a schematic diagram of the operation principle of an industrial hazardous waste liquid storage tank state online monitoring and early warning system according to the present application; Figure 3 FIG. 3 is a broken line diagram of deposition activation risk assessment according to the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0020] Embodiment 1 Please refer to Figure 1 and Figure 2 , the present application provides an industrial hazardous waste liquid storage tank state online monitoring and early warning system, in order to achieve the above purpose, the present application is realized by the following technical scheme: including dynamic acquisition module, electrochemical coupling evaluation module, deposition activation analysis module, comprehensive risk assessment module and grading response module; The dynamic acquisition module is used for collecting electrochemical reaction data in real time according to the installed sensor group, transmitting to the data processing center for preprocessing, and outputting electrochemical fluctuation data group, thermal dynamic behavior data group and liquid surface disturbance response data group; The electrochemical coupling evaluation module is used for calculating local electrochemical coupling index dho according to the electrochemical fluctuation data group to evaluate the electrochemical coupling; The deposition activation analysis module is used for calculating thermal delay activation index ryj and disturbance release fluctuation index rsb according to the thermal dynamic behavior data group and the liquid surface disturbance response data group respectively when the electrochemical coupling evaluation is that the deposition layer exists electrochemical coupling; The comprehensive risk evaluation module is used for comprehensively calculating deposition activation comprehensive risk index chf according to the local electrochemical coupling index dho, the thermal delay activation index ryj and the disturbance release fluctuation index rsb to evaluate the deposition activation risk, and generating risk information according to the evaluation result and transmitting to the hierarchical response module; The hierarchical response module is used for receiving the risk information in real time, and executing relevant instructions and operations according to the risk information.

[0021] In this embodiment, the dynamic acquisition module relies on multiple types of high-sensitivity sensor groups to obtain real-time electrochemical reaction data deposited at the bottom of the storage tank and transmit them to the data processing center for preprocessing, outputting electrochemical fluctuation data sets, thermal dynamic behavior data sets, and liquid surface disturbance response data sets, and realizing dynamic mapping from the original physical process to quantifiable data structures, providing data support for subsequent coupling analysis and risk assessment. This multi-source heterogeneous data fusion acquisition method greatly improves the information dimension and spatial coverage accuracy based on existing single-point monitoring or single-parameter monitoring methods. The local electrochemical coupling index dho is calculated from the electrochemical fluctuation data set as the primary activation judgment core index. When the conductivity fluctuation and electric field change are detected to be simultaneously enhanced, it is identified whether the deposition layer enters an activatable state. If the electrochemical coupling is established, the system automatically enters the deposition activation analysis link to further calculate the thermal delay activation index ryj and the disturbance release fluctuation index rsb, and construct a joint judgment mechanism for the latent heat release trend and gas disturbance behavior. Finally, based on the deposition activation comprehensive risk index chf composed of the comprehensive calculation of three parameters in the comprehensive risk assessment module, multi-level judgment is performed to accurately identify the stable, activation, or high-risk boundary of the storage tank state. Compared with the existing judgment mode based on static indicators, this evaluation model has stronger dynamic evolution perception ability and nonlinear trend capture ability, effectively solving the technical shortcoming of "difficulty in identifying the activation evolution in advance". Through the hierarchical response module, the system breaks down the execution barriers between evaluation and control, and immediately classifies the response after the risk information is generated, realizing the closed loop of "risk → control". The system can automatically issue operation instructions such as adjusting the sampling frequency, activating cooling and adsorption functions, closing the liquid inlet valve, and opening the slow-release exhaust according to the risk level, significantly improving the response timeliness and accuracy. Compared with the traditional periodic inspection mechanism relying on manual judgment, this scheme has the advantages of full automation, real-time, hierarchical, and executable linkage, not only shortening the reaction time window, but also reducing human intervention errors, ultimately achieving the comprehensive goal of improving the safety of hazardous waste liquid storage tanks, pre-controlling risk release, and enhancing system operation stability. This technical route provides an advanced, safe, and high-response intelligent protection mode for the hazardous chemical management industry.

[0022] Embodiment 2 For details, please refer to Figure 1 , specifically: the dynamic acquisition module includes a data acquisition unit, a data transmission unit, and a data processing unit; The data acquisition unit is used to acquire real-time electrochemical reaction data deposited at the bottom of the storage tank according to the sensor group installed inside the storage tank; The sensor group includes a quadrupole conductivity sensor, a differential electric field sensor array, an industrial thermocouple, a laser liquid level radar sensor, and an acceleration sensor array; The quadrupole conductivity sensor is installed near the center of the bottom of the storage tank to collect the conductivity (ec) of the deposited material at the bottom of the tank in real time. The collection frequency is set to once per second, forming a conductivity time series S. The specific form of the conductivity time series S is: S = {ec(t1), ec(t2), ..., ec(t3)} n )}; The differential electric field sensor array is arranged at the center of the bottom of the tank to collect the electric field intensity eb deposited at the bottom of the tank in real time, which represents the local ion movement and potential gradient at the bottom and reflects the trend of charge distribution change. The industrial thermocouple is used to be placed at the liquid-solid interface at the bottom of the storage tank to collect the bottom temperature tb in real time, which indicates the degree of thermal reaction activity of the deposition. The laser level radar sensor is installed on the top of the storage tank to continuously collect the liquid level position h. The acceleration sensor array is installed on the upper inner wall of the storage tank to collect the vibration signal P caused by liquid disturbance in real time. The data transmission unit is used to establish a communication connection between the sensor group and the data processing center based on the wireless network, and to transmit the electrochemical reaction data to the data processing center in real time.

[0023] The data processing unit is used to receive electrochemical reaction data in real time from the data processing center, perform preprocessing, and obtain electrochemical fluctuation data set, thermal dynamic behavior data set, and liquid surface disturbance response data set. The preprocessing includes denoising, outlier handling, missing value handling, dimensionless processing, conductivity analysis, liquid surface disturbance analysis, and disturbance frequency analysis. The denoising method uses wavelet decomposition to retain low-frequency principal components of electrochemical reaction data, suppress high-frequency noise, and remove unstructured high-frequency interference components from the electrochemical reaction data. Outlier processing uses the box plot IQR method to identify observation points that deviate significantly from the electrochemical reaction data pattern. Missing value processing is used to complete the electrochemical reaction data with sampling interruption and communication packet loss through interpolation. Dimensionless processing is performed by using Z-Score normalization to perform standard transformation on multiphysics data. The conductivity analysis is used to calculate the conductivity time series S based on the differential method to obtain the conductivity change rate dd, which represents the trend of ion migration intensity in the sediment at the bottom of the tank and reflects the activity of electrochemical reactions. Specifically: , In the formula, n represents the number of discrete data points, and ec(t) i ) and ec(t i+1 ) represent t respectively i Time and t i+1 Conductivity at time t; The liquid surface disturbance analysis is used to extract the maximum value max(h(t)) and the minimum value min(h(t)) of the liquid surface position h(t) in the same time window according to the obtained liquid surface position h, and the liquid surface disturbance amplitude rf is calculated by the difference, which represents the liquid surface fluctuation amplitude and reflects the gas release and stirring effect, specifically, rf = max(h(t))-min(h(t)); The disturbance frequency analysis is used to extract the main frequency component of the vibration signal P according to the fast Fourier transform, and obtain the disturbance frequency rp, which represents the intensity and characteristics of the disturbance process; The electrochemical fluctuation data set includes the conductivity change rate dd and the tank bottom electric field strength eb; The thermal dynamic behavior data set includes the tank bottom temperature tb; The liquid surface disturbance response data set includes the liquid surface disturbance amplitude rf and the disturbance frequency rp.

[0024] In this embodiment, the integrated quadrupole conductivity sensor, differential electric field sensor array, industrial thermocouple, laser liquid level radar sensor and acceleration sensor array are used to collect the electrochemical reaction data deposited at the bottom of the tank in real time; After the collected electrochemical reaction data is transmitted to the data processing center through the wireless network, the preprocessing steps of denoising, outlier processing, missing value processing, dimensionless processing, conductivity analysis, liquid surface disturbance analysis and disturbance frequency analysis are completed, the electrochemical fluctuation data set, the thermal dynamic behavior data set and the liquid surface disturbance response data set are obtained. The system realizes the automatic conversion from the sensor raw data to the structured analysis index, breaks through the micro change link of the deposition layer evolution process, significantly improves the continuity, data integrity and response accuracy of the tank state monitoring, provides a high-quality data basis for the subsequent electrochemical coupling identification and risk index modeling, has stronger real-time, automation and depth perception ability than the traditional periodic sampling method, and significantly enhances the early warning ability of the deposition activation precursor and evolution process.

[0025] Embodiment 3 Please refer to Figure 1 , specifically: the electrochemical coupling evaluation module includes an electrochemical coupling analysis unit and an electrochemical coupling evaluation unit; The electrochemical coupling analysis unit is used to calculate the local electrochemical coupling index dho according to the electrochemical fluctuation data set, which is used to identify the linkage degree of conductivity change and electric field strength, analyze whether the deposition layer has entered the activatable state, and the specific formula is as follows: ; In the formula, t0 represents the initial monitoring time point, T represents the monitoring period, t m represents the electrochemical disturbance duration window, eb(t) represents the tank bottom electric field strength at time t, and sin represents the sine function, denotes the ratio of the circumference of a circle to its diameter, and dt denotes the time differential, denotes the first derivative of the conductivity with respect to time, reflecting the ion migration rate, denotes the time weighting function, which is used to enhance the influence of high-frequency disturbances on the results, normalize the integration interval to [0, π], and highlight the importance of the middle time point.

[0026] The electrochemical coupling evaluation unit is used for an electrochemical coupling threshold Z set in advance, and the electrochemical coupling threshold Z is used for electrochemical coupling evaluation with a local electrochemical coupling index dho acquired in real time. The specific evaluation scheme is as follows. When the local electrochemical coupling index dho is less than the electrochemical coupling threshold Z, it indicates that there is no electrochemical coupling in the deposition layer, and in this case, normal monitoring is maintained. When the local electrochemical coupling index dho is greater than or equal to the electrochemical coupling threshold Z, it indicates that there is electrochemical coupling in the deposition layer, and in this case, a deposition activation analysis instruction is executed.

[0027] In this embodiment, the electrochemical coupling evaluation module constructs a dynamic judgment mechanism with the local electrochemical coupling index dho as the core by setting the electrochemical coupling analysis unit and the electrochemical coupling evaluation unit. The electrochemical coupling analysis unit calculates the local electrochemical coupling index dho according to the conductivity change rate and the electric field intensity curve in the electrochemical fluctuation data set, combines the time weighting function and the integration amplification strategy, and accurately identifies whether the deposition layer enters a potential reaction activation state.

[0028] The formula has a physical meaning, which aims to quantitatively calculate the time coupling behavior between the conductivity change rate and the electric field intensity in the deposition area at the bottom of the storage tank, judge whether the two show a synchronous enhancement or a synergistic evolution trend within a certain time, and then identify whether the electrochemical reaction chain is in an “active evolution” stage. The time derivative of the conductivity change rate represents the “acceleration” of ion migration, and the nonlinearity reflects the degree of reaction activity in the deposition layer; eb(t) is the local electric field intensity, which represents the charge distribution and the change of the local potential gradient; denotes the time weighting function, which normalizes the integration time window to [0, π] and enhances the influence of the middle time period. The entire integration structure represents a dynamic cumulative evaluation of the local disturbance coupling strength within the monitoring period from t0 to T. The overall formula has a physical logic that when the rate of ion migration changes And the potential gradient eb(t) is enhanced synchronously within the same time period, and is in the middle region of the disturbance time window, the local electrochemical coupling index dho will increase significantly, representing that the deposition layer is experiencing a potential reaction chain activation process.

[0029] The formula operation logic is embodied as an integral mechanism of physical evolution trend and time weight modulation, which uses the time derivative of the conductivity change rate identifying the intensity of ion transport in the deposition layer; a sinusoidal term is a perturbation modulation function, normalizes the time window, and amplifies the weight of the middle period, enhances the response ability to the critical conversion period, and avoids the sensitivity decline caused by the integral average effect; the integral summation is the integral operation of the product of the above three terms in time, thereby obtaining the full-cycle response strength of the electrochemical trend coupling in the entire perturbation period, and outputting the local electrochemical coupling index dho.

[0030] The electrochemical coupling evaluation unit presets an electrochemical coupling threshold Z, and performs electrochemical coupling evaluation with the local electrochemical coupling index dho. When the local electrochemical coupling index dho exceeds the preset electrochemical coupling threshold Z, the system automatically triggers the deposition activation analysis process. This embodiment effectively solves the problem that the initial evolution state of the deposition reaction cannot be judged in real time in the traditional method, realizes the pre-identification, accurate early warning and active prevention of the dangerous reaction state, significantly improves the predictability, safety and intelligent level of the storage tank operation, and has good popularization and application prospect in the field of industrial hazardous waste management.

[0031] Embodiment 4 Please refer to Figure 1 , specifically: the deposition activation analysis module is used to execute deposition activation analysis instructions when the electrochemical coupling evaluation is that the deposition layer exists electrochemical coupling, and specifically includes a thermal delay analysis unit and a perturbation analysis unit; The thermal delay analysis unit is used to aggregate and calculate according to the thermal dynamic behavior data set, obtain a thermal delay activation index ryj, and analyze the influence of latent heat release reaction on the storage tank, i.e. the influence of chemical heat source inducement on the storage tank, and the specific formula is as follows: ; In the formula, t0 represents an initial monitoring time point, T represents a monitoring period, e represents an exponential function, w represents a lag adjustment factor for controlling the influence of temperature rise on latent heat release reaction, which is set by the user according to the actual situation, log represents a logarithmic function, tb(t) represents the temperature at the bottom of the storage tank at time t, tb ref represents the temperature at the bottom of the storage tank under standard conditions, and dt represents a time integral quantity, represents a Sigmoid modulation function, which is used to amplify the sensitivity of the thermal evolution process, represents a temperature change logarithmic modulation term, which is used to control the influence of temperature change rate on the overall integral, smooth the nonlinear characteristics of the heat conduction process, and avoid abnormal outburst.

[0032] The perturbation analysis unit is used to aggregate and calculate according to the liquid surface disturbance response data set, obtain a perturbation release fluctuation index rsb, and identify the nonlinear frequency behavior of gas disturbance release, i.e. whether there is a gas accumulation trend evolution, and the specific formula is as follows: ; where T represents the monitoring period, N represents the number of frequency bands extracted from the disturbance frequency analysis within the monitoring period T, rf k represents the liquid surface disturbance amplitude in the kth frequency band, log represents the logarithmic function, rp k represents the abnormal disturbance frequency in the kth frequency band, represents the average value of the historical liquid surface disturbance amplitude in the kth frequency band, sin represents the sine function, t m represents the electrochemical disturbance duration window, for emphasizing the degree of change of the part higher than the average disturbance frequency, suppressing low disturbance interference, for enhancing the feature recognition ability synchronized with the disturbance frequency, highlighting the periodic disturbance behavior.

[0033] In this embodiment, the thermal delay analysis unit calculates the thermal delay activation index ryj according to the thermal dynamic behavior data set, uses the logarithmic modulation of temperature change to amplify the nonlinear fluctuations of the thermal response process, and uses the Sigmoid function to accurately identify the latent heat release trend.

[0034] The formula has a physical meaning, which is used to quantify the activation effect of the latent heat release reaction on the storage tank system. The purpose is to evaluate whether the bottom sediment enters the chemical activation critical state due to continuous and sudden warming through dynamic temperature signals, so as to construct a warning index for thermal-induced aggravation behavior. The Sigmoid modulation function term represents the sensitivity amplification factor of temperature change. When the current temperature is higher than the reference temperature, the term is close to 1, and when the current temperature is lower than the reference temperature, the term tends to 0, which strengthens the fact that only when the temperature exceeds the normal state, the accumulated heat energy will be considered to have an impact on the sediment, thereby avoiding excessive response to non-critical warming; the logarithmic modulation term is a nonlinear compression of the temperature change rate, which avoids exponential amplification caused by sudden rate by introducing logarithm, and smooths the response; the overall integral operation represents the cumulative evaluation of the thermal evolution behavior within the entire monitoring period, retains the process characteristics of the reaction rather than the single-time sudden value, improves the sensitivity of the system to the "slow accumulation activation" scene, and overcomes the limitations of traditional dependence on high peak bursts.

[0035] The formula operation logic is that at each time point t∈[t0,T], the temperature value tb(t) of the bottom of the storage tank is collected by the thermocouple sensor, and the temperature rise speed at the current time is calculated by the first-order difference method, which converts the original temperature sequence into a dynamic change rate sequence to provide a basis for judging the reaction intensity; the logarithmic function The original temperature rise rate is nonlinearly compressed, the effect is still retained when the temperature rise rate is slow, but when the temperature rise rate suddenly increases, the item inhibits the growth trend, smoothens the response, and prevents non-physical high values in the risk index; Sigmoid function The temperature change value is S-shaped mapped, when the actual temperature is far below the reference value, the item tends to 0, the weight of the overall integral is close to zero, when the temperature is close to or exceeds the reference value, the function quickly rises to 1, thereby greatly improving the contribution of the moment in the overall index.

[0036] The disturbance analysis unit combines the liquid surface disturbance response data set, fuses the liquid surface fluctuation amplitude and frequency change, extracts the disturbance release fluctuation index rsb, and focuses on mining the gas disturbance performance corresponding to high-frequency disturbance.

[0037] The formula has physical meaning, and can identify irregular and periodic enhanced disturbances. The logarithmic term has an asymmetric characteristic, the high-frequency surge is amplified, and the low-frequency change is compressed, realizing automatic suppression of the low disturbance frequency band and active amplification of the risk frequency band; the sine function term is used to identify whether the disturbance in the frequency band is in time with the electrochemical disturbance duration t m forms a periodic synchronization relationship, if the frequency rp k is an integer multiple of t m , then the sine value is close to 1, indicating that the disturbance behavior and the reaction process are coupled in rhythm, which is a signal of high-risk synchronous disturbance.

[0038] The formula operation logic, the disturbance amplitude weighting term rf k represents the intensity of the kth frequency band liquid surface disturbance in the monitoring period, which is used as the main weight factor, and the greater the value, the more significant the disturbance energy of the frequency band and the higher the energy participation; the disturbance amplification adjustment term introduces a relative amplification mechanism of disturbance frequency, emphasizes the frequency points higher than the historical average, and reflects whether the disturbance is abnormally concentrated in a certain frequency band; the disturbance synchronous amplification term is a periodic interference synchronization detection mechanism, which is used to select disturbance bands with synchronization or resonance tendency.

[0039] Through this embodiment, the system effectively solves the problem that the traditional method cannot judge the deposition layer activation risk and gas release tendency in real time, and realizes quantitative description of the heat-disturbance coupling activation state. Its beneficial effects are that the invisible deposition layer dynamic reaction process is converted into quantifiable and traceable monitoring indicators, the identification accuracy and pre-control ability of the system for the intensification boundary state are significantly improved, and finally the intrinsic safety level and risk prevention ability of the storage tank operation are enhanced.

[0040] Embodiment 5 Please refer to Figure 3 and Figure 1 Specifically, the comprehensive risk assessment module comprises a deposition risk analysis unit and an activation stability evaluation unit. The deposition risk analysis unit is configured to comprehensively calculate a deposition activation comprehensive risk index chf according to the local electrochemical coupling index dho, the thermal delay activation index ryj and the disturbance release fluctuation index rsb, and comprehensively analyze whether the deposition layer enters a reaction activation and explosion boundary, and the specific formula is as follows. ; In the formula, ln represents a logarithmic function, The square root structure is used to suppress the amplification effect of extreme values on the result, and the logarithmic processing is used for the thermal delay activation index ryj to ensure that a non-zero response can be obtained in a small thermal change stage, ryj-dho represents the dynamic disturbance response capability of the activated deposition layer, and |ryj-dho| is a disturbance control factor. According to the principle that the disturbance is most severe when the thermal trend and the electrochemical trend are inconsistent, the overall product structure reflects the physical progression of “main trend activation to disturbance response amplification”.

[0041] The activation stability evaluation unit is configured to perform deposition activation risk evaluation according to the first deposition activation critical threshold A and the second deposition activation critical threshold B set in advance and the deposition activation comprehensive risk index chf obtained in real time, and the specific evaluation scheme is as follows. When the deposition activation comprehensive risk index chf is less than the first deposition activation critical threshold A, it indicates that the deposition activation is in a stable state, and the normal detection frequency is maintained. When the first deposition activation critical threshold A is less than or equal to the deposition activation comprehensive risk index chf and the deposition activation comprehensive risk index chf is less than the second deposition activation critical threshold B, it indicates that the deposition activation is in an activation state, and the first risk information is generated. When the deposition activation comprehensive risk index chf is greater than or equal to the second deposition activation critical threshold B, it indicates that the deposition activation is in a dangerous state, and there is a structural risk and a chemical release risk in the deposition at the bottom of the tank, and the second risk information is generated. The risk information is transmitted to the hierarchical response module through a wireless network.

[0042] In this embodiment, the deposition risk analysis unit establishes a multi-parameter fusion evaluation mechanism with the local electrochemical coupling index dho, the thermal delay activation index ryj and the disturbance release fluctuation index rsb as the core, adopts a nonlinear product structure and a logarithmic modulation method to construct the deposition activation comprehensive risk index chf, and accurately identifies the dynamic evolution process of the deposition layer from activation germination to the explosion boundary.

[0043] The formula has the following physical meanings, Reflects the degree of possibility of the activation of the sediment layer, and the square root structure simulates the nonlinear synergistic enhancement relationship of the "electrochemical-thermal activation trend", using to enhance the recognition ability of the slow temperature rise stage; represents the disturbance response amplification factor, which is used to simulate the dynamic ability of whether a violent disturbance will occur in the activated state; the denominator represents the disturbance consistency control term, and if the thermal trend and the electrochemical trend are similar, the disturbance is more synchronous and the inhibition is smaller; the overall product structure represents that "when the activation trend exists and the disturbance release ability is synchronized, the system is more likely to enter the risk area of out of control".

[0044] The formula operation logic uses the electrochemical and thermal trends together as the "main driving factor", and then superimposes the disturbance release ability as the "response amplifier", which conforms to the physical mechanism of the activation of the sediment in the actual storage tank. In particular, the disturbance difference |ryj-dho| is introduced as a control factor, which accurately reflects the risk physical phenomenon that "when the trends are inconsistent, the disturbance is unstable", and the use of ln(ryj+1) effectively alleviates the response shadowing when the heat fluctuation is weak. The square structure and the square root are matched to suppress the influence of extreme values and improve the recognition ability of the system to moderate intensity risks without biasing extreme values.

[0045] The activation stability evaluation unit realizes graded risk judgment and classification feedback by setting a first sediment activation critical threshold A and a second sediment activation critical threshold B, and ultimately realizes early warning and graded control of the sediment reaction trend. This embodiment significantly improves the sensitivity, stability and timeliness of intervention of the sediment reaction recognition, effectively making up for the core technical short boards of "response delay", "state ambiguity" and "unable to quantify" in traditional storage tank risk monitoring, and providing a more intelligent, efficient and fine security mechanism for industrial hazardous waste liquid storage tanks.

[0046] Embodiment 6 Please refer to ​ , specifically: the graded response module is used to receive risk information in real time, and execute related instructions and operations according to the risk information, specifically as follows: When the first risk information is received, the warning information is transmitted to the relevant personnel user end through the wireless network, notifying the relevant personnel to start the bottom cooling system and the gas adsorption function, and adjusting the sensor group to increase the collection frequency by 50% and the system detection frequency by 50%; When the second risk information is received, the risk information is transmitted to the relevant personnel user end through the wireless network, notifying the relevant personnel to immediately close the liquid inlet valve and open the slow-release valve to exhaust.

[0047] In this embodiment, the hierarchical response module implements a hierarchical control strategy after determining the risk level according to the deposition activation comprehensive risk index chf generated by the preceding module, forming a closed-loop path from data sensing to risk intervention: when receiving the first risk information, the system automatically notifies the relevant personnel to start the bottom cooling and gas adsorption function through the wireless network, and synchronously increases the sampling frequency of the sensor group and the system detection frequency by 50% to strengthen the high-frequency data acquisition and response monitoring accuracy; when receiving the second risk information, the system immediately instructs to close the liquid inlet valve and open the slow-release valve to exhaust, quickly cutting off the external driving of the reaction and dispersing the endogenous gas pressure, thereby preventing the risk of explosion from the source. This response mechanism not only realizes the rapid feedback and active control of the risk situation, but also greatly improves the real-time performance, stability and safety protection capability of the system through intelligent, automatic and hierarchical execution mode, effectively avoiding the accident spread risk caused by reaction delay, misjudgment or human operation lag, and finally building an efficient and reliable storage tank safety protection system.

[0048] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An industrial hazardous waste liquid storage tank state online monitoring and early warning system, characterized in that: The application comprises a dynamic acquisition module, an electrochemical coupling evaluation module, a deposition activation analysis module, a comprehensive risk evaluation module and a hierarchical response module. The dynamic acquisition module is used for collecting electrochemical reaction data in real time according to the installed sensor group and transmitting the data to a data processing center for preprocessing, outputting an electrochemical fluctuation data group, a thermal dynamic behavior data group and a liquid surface disturbance response data group. The electrochemical coupling evaluation module is used for calculating a local electrochemical coupling index dho according to the electrochemical fluctuation data group and performing electrochemical coupling evaluation. The deposition activation analysis module is used for calculating a thermal delay activation index ryj and a disturbance release fluctuation index rsb according to the thermal dynamic behavior data group and the liquid surface disturbance response data group when the electrochemical coupling evaluation indicates that there is electrochemical coupling in the deposition layer. The comprehensive risk evaluation module is used for comprehensively calculating a deposition activation comprehensive risk index chf according to the local electrochemical coupling index dho, the thermal delay activation index ryj and the disturbance release fluctuation index rsb, performing deposition activation risk evaluation, and generating risk information according to the evaluation result and transmitting the information to the hierarchical response module. The hierarchical response module is used for receiving risk information in real time and executing relevant instructions and operations according to the risk information.

2. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 1, characterized in that: The dynamic acquisition module comprises a data acquisition unit, a data transmission unit and a data processing unit. The data acquisition unit is used for collecting electrochemical reaction data of the deposition at the bottom of the storage tank in real time according to the sensor group installed inside the storage tank. The sensor group comprises a quadrupole conductivity sensor, a differential electric field sensor array, an industrial thermocouple, a laser liquid level radar sensor and an acceleration sensor array. The quadrupole conductivity sensor is installed near the center of the bottom of the storage tank to collect the conductivity (ec) of the deposited material at the bottom of the tank in real time. The collection frequency is set to once per second, forming a conductivity time series S. The specific form of the conductivity time series S is: S = {ec(t1), ec(t2), ..., ec(t3)} n )}; The differential electric field sensor array is arranged at the center of the bottom of the storage tank and is used for collecting the electric field intensity eb of the deposition at the bottom of the storage tank in real time, representing the local ion movement and potential gradient at the bottom and reflecting the change trend of the charge distribution. The industrial thermocouple is arranged at the liquid-solid interface at the bottom of the storage tank and is used for collecting the temperature tb of the deposition at the bottom of the storage tank in real time, representing the activity degree of the thermal reaction of the deposition. The laser liquid level radar sensor is installed at the top of the storage tank and is used for continuously collecting the liquid level position h. The acceleration sensor array is installed on the inner wall of the upper part of the storage tank and is used for collecting the vibration signal P caused by the liquid disturbance in real time. The data transmission unit is used for establishing a communication connection between the sensor group and the data processing center according to a wireless network and transmitting the electrochemical reaction data to the data processing center in real time.

3. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 2, characterized in that: The data processing unit is used for receiving the electrochemical reaction data in real time according to the data processing center and performing preprocessing to obtain the electrochemical fluctuation data group, the thermal dynamic behavior data group and the liquid surface disturbance response data group. The preprocessing comprises denoising, abnormal value processing, missing value processing, dimensionless processing, conductivity analysis, liquid surface disturbance analysis and disturbance frequency analysis. The denoising retains low-frequency main components of the electrochemical reaction data according to wavelet decomposition, suppresses high-frequency noise, removes unstructured high-frequency interference components in the electrochemical reaction data, and performs abnormal value processing by identifying observation points deviating from the electrochemical reaction data mode by the box plot IQR method; the missing value processing is used to complete the electrochemical reaction data with sampling interruption and communication packet loss by interpolation method; and the dimensionless processing is used to perform standard transformation on the multi-physical field data by adopting Z-Score standardization; The conductivity analysis is used to calculate the conductivity time series S by differential method, obtain the conductivity change rate dd, represent the ion migration intensity change trend in the deposit at the bottom of the storage tank, reflect the electrochemical reaction activity, and specifically: ， In the formula, n represents the number of discrete data points, ec(t i ) and ec(t i+1 ) represent the conductivities at time t i and time t i+1 , respectively. The liquid surface disturbance analysis is used to extract the maximum value max(h(t)) and the minimum value min(h(t)) of the liquid surface position h(t) in the same time window in real time according to the obtained liquid surface position h, and calculate the liquid surface disturbance amplitude rf by difference, which represents the liquid surface fluctuation amplitude and reflects the gas release and stirring effect, and specifically: The disturbance frequency analysis is used to extract the main frequency component of the vibration signal P by fast Fourier transform, and obtain the disturbance frequency rp, which represents the intensity and characteristics of the disturbance process; The electrochemical fluctuation data set includes the conductivity change rate dd and the electric field intensity eb at the bottom of the storage tank; The thermal dynamic behavior data set includes the temperature tb at the bottom of the storage tank; The liquid surface disturbance response data set includes the liquid surface disturbance amplitude rf and the disturbance frequency rp.

4. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 3, characterized in that: The electrochemical coupling evaluation module includes an electrochemical coupling analysis unit and an electrochemical coupling evaluation unit; The electrochemical coupling analysis unit is used to calculate the local electrochemical coupling index dho by summarizing the electrochemical fluctuation data set, identify the linkage degree of the conductivity change and the electric field intensity, analyze whether the deposit layer has entered an activatable state, and the specific formula is as follows: ； In the formula, t0 represents an initial monitoring time point, T represents a monitoring period, t m represents an electrochemical disturbance duration window, eb(t) represents a tank bottom electric field intensity at time t, sin represents a sine function, represents a circular constant, the value is two decimal places, and dt represents a time integral quantity.

5. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 4, characterized in that: The electrochemical coupling evaluation unit is used to pre-set an electrochemical coupling threshold Z, and perform electrochemical coupling evaluation on the local electrochemical coupling index dho and the electrochemical coupling threshold Z, and the specific evaluation scheme is as follows: When the local electrochemical coupling index dho is less than the electrochemical coupling threshold Z, it indicates that there is no electrochemical coupling of the deposit layer, and at this time, normal monitoring is maintained; When the local electrochemical coupling index dho is greater than or equal to the electrochemical coupling threshold Z, it indicates that there is electrochemical coupling of the deposit layer, and at this time, the deposit activation analysis instruction is executed.

6. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 5, characterized in that: The deposit activation analysis module is used to execute the deposit activation analysis instruction when the electrochemical coupling evaluation indicates that there is electrochemical coupling of the deposit layer, and specifically includes a thermal delay analysis unit and a disturbance analysis unit; The thermal delay analysis unit is used to calculate the thermal delay activation index ryj by summarizing the thermal dynamic behavior data set, analyze the influence of the latent heat slow-release reaction on the storage tank, i.e., the influence of the chemical heat source on the storage tank, and the specific formula is as follows: ； In the formula, t0 represents an initial monitoring time point, T represents a monitoring period, e represents an exponential function, w represents a lag adjustment factor, which is set by a user according to an actual situation, log represents a logarithmic function, tb(t) represents a tank bottom temperature at t, tb ref represents a standard tank bottom temperature, and dt represents a time differential quantity.

7. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 6, characterized in that: The disturbance analysis unit is used to calculate the disturbance release fluctuation index rsb by summarizing the liquid surface disturbance response data set, identify the nonlinear frequency behavior of the gas disturbance release, i.e., whether there is a gas accumulation trend evolution, and the specific formula is as follows: ； where T represents a monitoring period, N represents a number of frequency bands extracted from the disturbance frequency analysis within the monitoring period T, rf k represents a liquid level disturbance amplitude in the kth frequency band, log represents a logarithmic function, rp k represents an abnormal disturbance frequency in the kth frequency band, represents an average value of the liquid level disturbance amplitude in the kth frequency band in history, sin represents a sinusoidal function, t m represents an electrochemical disturbance duration window.

8. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 1, characterized in that: The comprehensive risk assessment module comprises a deposition risk analysis unit and an activation stability evaluation unit. The deposition risk analysis unit is configured to obtain a deposition activation comprehensive risk index chf by comprehensively calculating the local electrochemical coupling index dho, the thermal delay activation index ryj and the disturbance release fluctuation index rsb, and comprehensively analyze whether the deposition layer enters a reaction activation and explosion boundary, according to the following formula: ； In the formula, ln represents a logarithmic function.

9. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 8, characterized in that: The activation stability evaluation unit is configured to perform deposition activation risk evaluation according to the first deposition activation critical threshold A and the second deposition activation critical threshold B, and the deposition activation comprehensive risk index chf obtained in real time, according to the following evaluation scheme: When the deposition activation comprehensive risk index chf is less than the first deposition activation critical threshold A, it indicates that the deposition activation is in a stable state, and the normal detection frequency is maintained. When the first deposition activation critical threshold A is less than or equal to the deposition activation comprehensive risk index chf and the deposition activation comprehensive risk index chf is less than the second deposition activation critical threshold B, it indicates that the deposition activation is in an activation state, and the first risk information is generated. When the deposition activation comprehensive risk index chf is greater than or equal to the second deposition activation critical threshold B, it indicates that the deposition activation is in a dangerous state, and there is a structural risk and a chemical release risk in the bottom deposition of the storage tank, and the second risk information is generated. The risk information is transmitted to the hierarchical response module through a wireless network.

10. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 9, characterized in that: The hierarchical response module is configured to receive the risk information in real time, and execute relevant instructions and operations according to the risk information, as follows: When the first risk information is received, the warning information is transmitted to the relevant personnel user end through a wireless network, and the relevant personnel is notified to open the bottom cooling system and the gas adsorption function, and to adjust the sensor group to increase the collection frequency by 50% and the system detection frequency by 50%; When the second risk information is received, the risk information is transmitted to the relevant personnel user end through a wireless network, and the relevant personnel is notified to immediately close the liquid inlet valve and open the slow-release valve exhaust.

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