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

Abstract

The application discloses an industrial hazardous waste liquid storage tank state online monitoring and early warning system and relates to the technical field of industrial hazardous liquid management. The system is provided with a sensor group arranged in the storage tank, can collect electrochemical reaction data of the deposition at the bottom of the storage tank in real time, and can pre-process output electrochemical fluctuation data, thermal dynamic behavior data and liquid surface disturbance response data. The system can perform electrochemical coupling evaluation by calculating a local electrochemical coupling index dho, can calculate a thermal delay activation index ryj and a disturbance release fluctuation index rsb when the electrochemical coupling evaluation indicates that there is electrochemical coupling in the deposition layer, can finally perform deposition activation risk evaluation by calculating a deposition activation comprehensive risk index chf, and can generate risk information and automatically perform corresponding response operations according to the evaluation results. The system has triple coupling sensing and dynamic response control capabilities of electrochemistry, heat and disturbance, and the accuracy of the deposition activation state recognition of the storage tank and the effectiveness of the 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 gradual accumulation of energy and electrochemical micro-disturbance 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 response mechanisms 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.

[0006] The dynamic acquisition module is configured to acquire electrochemical reaction data in real time according to the installed sensor group, and transmit the data to a data processing center for preprocessing, to output an electrochemical fluctuation data set, a thermal dynamic behavior data set, and a liquid surface disturbance response data set.

[0007] The electrochemical coupling evaluation module is configured to calculate a local electrochemical coupling index dho according to the electrochemical fluctuation data set, and evaluate the electrochemical coupling.

[0008] The deposition activation analysis module is configured to calculate a thermal delay activation index ryj and a disturbance release fluctuation index rsb according to the thermal dynamic behavior data set and the liquid surface disturbance response data set, respectively, when the electrochemical coupling evaluation indicates that the deposition layer exists electrochemical coupling.

[0009] The comprehensive risk evaluation module is configured to 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, to evaluate the deposition activation risk, and to generate risk information according to the evaluation result and transmit the risk information to the hierarchical response module.

[0010] 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.

[0011] Preferably, the dynamic acquisition module includes a data acquisition unit, a data transmission unit, and a data processing unit.

[0012] The data acquisition unit is configured to acquire 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.

[0013] 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.

[0014] The quadrupole conductivity sensor is configured to be installed at a central area near the bottom of the storage tank, to acquire the conductivity ec of the deposition at the bottom of the storage tank in real time, and to set the acquisition frequency to be once per second, to form a conductivity time sequence S, where the specific form of the conductivity time sequence S is: S={ec(t1), ec(t2),..., ec(tn)}. n

[0015] The differential electric field sensor array is configured to be arranged at a central position at the bottom of the storage tank, to acquire the electric field strength eb of the deposition at the bottom of the storage tank in real time, to represent the local ion movement and potential gradient at the bottom, and to reflect the change trend of the charge distribution.

[0016] The industrial thermocouple is configured to be arranged at the liquid-solid interface at the bottom of the storage tank, to acquire the temperature tb of the deposition at the bottom of the storage tank in real time, and to represent the thermal reaction activity of the deposition.

[0017] ​The laser liquid level radar sensor is used for being installed on the top of the storage tank to continuously collect the liquid surface position h;

[0018] The acceleration sensor array is used for being installed on the inner wall of the upper part of the storage tank to collect the vibration signal P caused by the liquid disturbance in real time;

[0019] 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.

[0020] Preferably, the data processing unit is used for receiving the electrochemical reaction data from the data processing center in real time, and performing preprocessing to obtain an electrochemical fluctuation data group, a thermal dynamic behavior data group and a liquid surface disturbance response data group;

[0021] The preprocessing includes denoising, outlier processing, missing value processing, dimensionless processing, conductivity analysis, liquid surface disturbance analysis and disturbance frequency analysis;

[0022] The denoising retains the low-frequency main component of the electrochemical reaction data according to wavelet decomposition, suppresses high-frequency noise, removes the unstructured high-frequency interference component in the electrochemical reaction data, the outlier processing identifies the observation points that significantly deviate from the electrochemical reaction data mode through the box plot IQR method, the missing value processing is used for completing the electrochemical reaction data with sampling interruption and communication packet loss through interpolation method, and the dimensionless processing is used for standard transformation of the multi-physical field data through Z-Score standardization;

[0023] The conductivity analysis is used for calculating the conductivity time series S according to the differential method to obtain the conductivity change rate dd, which represents the change trend of ion migration intensity in the sediment at the bottom of the storage tank, reflects the degree of electrochemical reaction activity, and specifically is: , wherein n represents the number of discrete data points, ec(t i ) and ec(t i+1 ) represent the conductivity at time t i and time t i+1 respectively;

[0024] The liquid surface disturbance analysis is used for extracting 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 calculating the liquid surface disturbance amplitude rf through difference, which represents the liquid surface fluctuation amplitude and reflects the gas release and stirring effect, and specifically is rf=max(h(t))-min(h(t));

[0025] The disturbance frequency analysis is used for extracting the main frequency component of the vibration signal P according to the fast Fourier transform to obtain the disturbance frequency rp, which represents the intensity and characteristics of the disturbance process.

[0026] The electrochemical fluctuation data set includes a rate of change of conductivity dd and an electric field intensity at the bottom of the tank eb;

[0027] The thermal dynamic behavior data set includes a temperature at the bottom of the tank tb;

[0028] The liquid surface disturbance response data set includes a disturbance amplitude rf and a disturbance frequency rp.

[0029] Preferably, the electrochemical coupling evaluation module includes an electrochemical coupling analysis unit and an electrochemical coupling evaluation unit;

[0030] The electrochemical coupling analysis unit is configured to perform a summary calculation based on the electrochemical fluctuation data set to obtain a local electrochemical coupling index dho, which is used to identify the degree of linkage between the rate of change of conductivity and the electric field intensity, and to analyze whether the deposition layer has entered an activatable state, and the specific formula is as follows:

[0031]

[0032] 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 tank at time t, sin represents a sine function, represents a circular constant, and the value is two decimal places, and dt represents a time integral.

[0033] Preferably, the electrochemical coupling evaluation unit is configured to set an electrochemical coupling threshold value Z, and perform electrochemical coupling evaluation on the local electrochemical coupling index dho obtained in real time and the electrochemical coupling threshold value Z, and the specific evaluation scheme is as follows:

[0034] 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.

[0035] 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.

[0036] Preferably, the deposition activation analysis module is configured to execute a 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.

[0037] The thermal delay analysis unit is configured to perform a summary calculation based on the thermal dynamic behavior data set to obtain a thermal delay activation index ryj, which is used to analyze the influence of a latent heat release reaction on the tank, i.e., the influence of a chemical heat source inducement on the tank, and the specific formula is as follows:

[0038] ​​

[0039] wherein t0 represents an initial monitoring time point, T represents a monitoring period, e represents an exponential function, w represents a hysteresis adjustment factor, which is set by a user according to actual conditions, log represents a logarithmic function, tb(t) represents a tank bottom temperature at time t, tb ref represents a tank bottom temperature under a standard state, and dt represents a time differential.

[0040] Preferably, the disturbance analysis unit is configured to perform a summary calculation based on the liquid surface disturbance response data set to obtain a disturbance release fluctuation index rsb, which is used to identify a 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:

[0041] ;

[0042] wherein 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 surface 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 surface disturbance amplitude in the kth frequency band in history, sin represents a sine function, t m represents an electrochemical disturbance duration window.

[0043] Preferably, the comprehensive risk assessment module comprises a deposition risk analysis unit and an activation stability evaluation unit.

[0044] The deposition risk analysis unit is configured to perform a comprehensive calculation based on 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, which is used to comprehensively analyze whether the deposition layer enters a reaction activation and explosion boundary, and the specific formula is as follows:

[0045] ;

[0046] wherein ln represents a logarithmic function.

[0047] Preferably, the activation stability evaluation unit is configured to perform a deposition activation risk evaluation based on a pre-set first deposition activation critical threshold A and a second deposition activation critical threshold B and the real-time obtained deposition activation comprehensive risk index chf, and the specific evaluation scheme is as follows:

[0048] 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 a normal detection frequency is maintained.

[0049] When the first deposition activation critical threshold A ≤ the deposition activation comprehensive risk index chf < the second deposition activation critical threshold B, it indicates that the deposition activation is in an activation state, and first risk information is generated at this time;

[0050] When the deposition activation comprehensive risk index chf ≥ 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 second risk information is generated at this time;

[0051] The risk information is transmitted to a hierarchical response module through a wireless network.

[0052] Preferably, the hierarchical response module is used for receiving risk information in real time, and executing relevant instructions and operations according to the risk information, and the specific implementation is as follows.

[0053] When the first risk information is received, warning information is transmitted to a relevant personnel user end through a wireless network, and the relevant personnel are informed to start 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%.

[0054] When the second risk information is received, the risk information is transmitted to a relevant personnel user end through a wireless network, and the relevant personnel are informed to immediately close the liquid inlet valve and start the slow-release valve exhaust.

[0055] The present application provides an industrial hazardous waste liquid storage tank state online monitoring and early warning system. It has the following beneficial effects:

[0056] (1) The system dynamic acquisition module acquires the electrochemical reaction data of the bottom deposition of the storage tank in real time according to the sensor group installed in the interior of 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 acquires 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 constructed 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 bottom deposition 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.

[0057] (2) The system electrochemical coupling evaluation builds local electrochemical coupling index dho through electrochemical fluctuation data set, and introduces 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 builds heat delay activation index ryj and disturbance release fluctuation index rsb through the heat dynamic behavior data set and the liquid surface disturbance response data set, respectively, to 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 the 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, which enhances the identification sensitivity of the critical conversion interval, ensures that potential abnormalities can be captured when the reaction just germinates or accumulates to the critical point, and avoids lag response. This process realizes the whole-chain risk modeling logic from micro-coupling perception to heat disturbance mapping to risk index quantification.

[0058] (3) The system hierarchical response module completes the whole-process closed-loop management from evaluation results to actual intervention measures. 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, activates the gas adsorption mechanism, and at the same time, increases the sampling frequency of the sensor group by 50%, enhances the system monitoring sensitivity, and realizes the "active monitoring enhancement" strategy. 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 in the risk interval of structure damage, 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 reaction development 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 manual 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

[0059] Figure 1 It is a process schematic diagram of the industrial hazardous waste liquid storage tank state online monitoring and early warning system of the application;

[0060] Figure 2 It is a running principle diagram of the industrial hazardous waste liquid storage tank state online monitoring and early warning system of the application;

[0061] Figure 3 It is a deposition activation risk assessment broken line schematic diagram. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application. Embodiment 1

[0063] Please refer to Figure 1 and Figure 2 The present application provides an online monitoring and early warning system for industrial hazardous waste liquid storage tank state. To achieve the above purpose, the present application is implemented by the following technical solutions: comprising a dynamic acquisition module, an electrochemical coupling evaluation module, a deposition activation analysis module, a comprehensive risk evaluation module and a hierarchical response module.

[0064] 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.

[0065] 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.

[0066] 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 respectively when the electrochemical coupling evaluation indicates that there is electrochemical coupling in the deposition layer.

[0067] 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 risk information to the hierarchical response module.

[0068] The hierarchical response module is used for receiving risk information in real time, and executing relevant instructions and operations according to the risk information.

[0069] 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 synchronized and enhanced, it is identified whether the deposition layer has entered the 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 the 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. Embodiment 2

[0070] 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;

[0071] 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;

[0072] 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;

[0073] The quadrupole conductivity sensor is used to be installed in the near-center area of the tank bottom to collect the conductivity ec of the deposit on the tank bottom in real time, and the collection frequency is set to be once per second to form a conductivity time series S, and the specific form of the conductivity time series S is: S={ec(t1), ec(t2),..., ec(tn)}. n )};

[0074] The differential electric field sensor array is used to be arranged at the center position of the tank bottom to collect the electric field strength eb of the deposit on the tank bottom in real time, to represent the local ion movement and potential gradient of the bottom, and to reflect the change trend of the charge distribution.

[0075] The industrial thermocouple is used to be arranged at the liquid-solid interface of the tank bottom to collect the temperature tb of the deposit in real time, to represent the activity degree of the deposit.

[0076] The laser liquid level radar sensor is used to be installed on the top of the tank to continuously collect the liquid level position h.

[0077] The acceleration sensor array is used to be installed on the inner wall of the upper part of the tank to collect the vibration signal P caused by the liquid disturbance in real time.

[0078] The data transmission unit is used to establish a communication connection between the sensor group and the data processing center according to the wireless network, and to transmit the electrochemical reaction data to the data processing center in real time.

[0079] The data processing unit is used to receive the electrochemical reaction data in real time according to the data processing center, and to perform preprocessing to obtain the electrochemical fluctuation data group, the thermal dynamic behavior data group, and the liquid surface disturbance response data group.

[0080] The preprocessing includes denoising, outlier processing, missing value processing, dimensionless processing, conductivity analysis, liquid surface disturbance analysis, and disturbance frequency analysis.

[0081] The denoising retains the low-frequency main component of the electrochemical reaction data according to wavelet decomposition, suppresses high-frequency noise, removes the unstructured high-frequency interference component in the electrochemical reaction data, the outlier processing identifies the observation points that are significantly deviated from the electrochemical reaction data mode through the box plot IQR method, the missing value processing is used to complete the electrochemical reaction data with sampling interruption and communication packet loss through interpolation method, and the dimensionless processing is used to perform standard transformation on the multi-physical field data through Z-Score standardization.

[0082] The conductivity analysis is used to calculate the conductivity time series S according to the differential method to obtain the conductivity change rate dd, to represent the change trend of the ion migration intensity in the deposit on the tank bottom, and to reflect the activity degree of the electrochemical reaction, and the specific form is: , wherein n represents the number of discrete data points, ec(ti ) and ec(t i+1 ) represent the conductivity at time t i and time t i+1 , respectively;

[0083] The liquid level disturbance analysis is used to extract the maximum value max(h(t)) and the minimum value min(h(t)) of the liquid level position h(t) in the same time window in real time according to the acquired liquid level position h, and the liquid level disturbance amplitude rf is calculated by the difference, which represents the liquid level fluctuation amplitude and reflects the gas release and stirring effect, specifically, rf = max(h(t)) - min(h(t));

[0084] The disturbance frequency analysis is used to extract the main frequency component of the vibration signal P according to the fast Fourier transform, and the disturbance frequency rp is obtained, which represents the intensity and characteristics of the disturbance process;

[0085] The electrochemical fluctuation data set includes the conductivity change rate dd and the bottom tank electric field strength eb;

[0086] The thermal dynamic behavior data set includes the bottom tank temperature tb;

[0087] The liquid level disturbance response data set includes the liquid level disturbance amplitude rf and the disturbance frequency rp.

[0088] 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 level disturbance analysis and disturbance frequency analysis are completed, the electrochemical fluctuation data set, the thermal dynamic behavior data set and the liquid level 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. Embodiment 3

[0089] Please refer to Figure 1 , specifically: the electrochemical coupling evaluation module includes an electrochemical coupling analysis unit and an electrochemical coupling evaluation unit;

[0090] The electrochemical coupling analysis unit is used for aggregate 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, analyzing whether the deposition layer has entered an activatable state, and the specific formula is as follows:

[0091] ;

[0092] 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 tank bottom at t, sin represents a sine function, represents a circular constant, and the value is two decimal places, and dt represents a time integral quantity, represents a first-order derivative of the conductivity with respect to time, and reflects an ion migration rate, represents a time weighting function, is used for improving the influence of the disturbance high-frequency band on the result, normalizing the integral interval to [0, π], and highlighting the importance of the middle time point.

[0093] 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:

[0094] 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.

[0095] 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.

[0096] In the 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 integral amplification strategy, and accurately identifies whether the deposition layer enters a potential reaction activation state.

[0097] 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 tank, judge whether the two show a synchronous enhancement or a coordinated 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 reaction activity degree in the deposition layer; the local electric field intensity eb(t) represents the charge distribution and the local potential gradient change; represents a time weighting function, normalizes the integration time window to [0, π], and enhances the influence of the middle time period, and the whole integration structure represents a dynamic cumulative evaluation of the coupling strength of local disturbance in the monitoring period. The overall formula has physical logic, and when the rate of ion migration changes and the potential gradient eb(t) is synchronously enhanced in the same time period, and is in the middle region of the disturbance window, the local electrochemical coupling index dho will be significantly increased, representing that the deposited layer is experiencing a potential reaction chain activation process.

[0098] The formula operation logic is embodied as an integration mechanism of physical evolution trend and time weight modulation, and uses the time derivative of the conductivity change rate to identify the intensity of ion transport in the deposited layer; the sine term is a disturbance modulation function, normalizes the time window, and amplifies the weight of the middle time period, strengthens the response ability to the critical conversion period, and avoids the sensitivity decline caused by the integral average effect; the integral summation is the time integral operation of the product of the above three terms, so as to obtain the full-cycle response strength of the electrochemical trend coupling in the whole disturbance period, and output the local electrochemical coupling index dho.

[0099] The electrochemical coupling evaluation unit presets an electrochemical coupling threshold value 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 value 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. Embodiment 4

[0100] 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 deposited layer exists electrochemical coupling, and specifically includes a thermal delay analysis unit and a disturbance analysis unit;

[0101] The thermal delay analysis unit is used to perform summary calculation according to the thermal dynamic behavior data set, obtain a thermal delay activation index ryj, and analyze the influence of the latent heat release reaction on the storage tank, that is, the influence of the chemical heat source inducement on the storage tank. The specific formula is as follows:

[0102]

[0103] ​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 the latent heat release reaction, which is set by a user according to actual conditions, log represents a logarithmic function, tb(t) represents a tank bottom temperature at time t, tb ref represents a standard-state tank bottom temperature, and dt represents a time differential. 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 the temperature change rate on the overall integral, smooth the nonlinear characteristics of the heat conduction process, and avoid abnormal bursts.

[0104] The disturbance analysis unit is used to perform summary calculation according to the liquid level disturbance response data set, to obtain a disturbance release fluctuation index rsb, which is used to identify the nonlinear frequency behavior of the gas disturbance release, that is, whether there is a gas accumulation trend evolution. The specific formula is as follows:

[0105] ;

[0106] In the formula, T represents a monitoring period, N represents the number of frequency bands extracted from the disturbance frequency analysis in the monitoring period T, rf k represents the liquid level disturbance amplitude in the kth frequency band, log represents a logarithmic function, and rp k represents an abnormal disturbance frequency in the kth frequency band, represents the average value of the liquid level disturbance amplitude in the kth frequency band in history, sin represents a sine function, t m represents an electrochemical disturbance duration window, is used to emphasize the change degree of the part higher than the average disturbance frequency and suppress low disturbance interference, is used to enhance the feature recognition ability synchronized with the disturbance frequency and highlight the periodic disturbance behavior.

[0107] In this embodiment, the thermal delay analysis unit calculates a thermal delay activation index ryj according to the thermal dynamic behavior data set, uses the logarithmic modulation of temperature change and the Sigmoid function to amplify the nonlinear fluctuations of the thermal response process, and accurately identifies the latent heat release trend.

[0108] The formula has a physical meaning, which is used to quantify the activation effect of the latent heat release reaction on the tank system. The purpose is to evaluate, through the dynamic temperature signal, whether the bottom sediment enters a chemical activation critical state due to continuous and sudden temperature rise, so as to construct a warning index for the thermal induction and activation behavior. The Sigmoid modulation function term represents the sensitivity amplification factor to temperature change, which is close to 1 when the current temperature is higher than the reference temperature, and tends to 0 when the current temperature is lower than the reference temperature, which strengthens the heat energy accumulation that is only considered to have an impact on the deposit after the "temperature exceeds the normal state", thereby avoiding excessive response to non-critical temperature rise; the logarithmic modulation term is a nonlinear compression of the temperature change rate, which introduces a logarithm to avoid the exponential amplification caused by sudden rates, and smooth the response; the overall integral operation represents the cumulative evaluation of the thermal evolution behavior within the entire monitoring period, which retains the process characteristics of the reaction rather than the single-time sudden value, and improves the sensitivity of the system to "slow accumulation activation" scenarios, overcoming the limitations of traditional dependence on high peak bursts.

[0109] The formula operation logic is that, at each time point t∈[t0, T], the temperature value tb(t) at 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 nonlinearly compresses the original temperature rise rate, which still retains its effect when the temperature rise speed is slow, but suppresses the growth trend when the temperature rise speed suddenly increases, smooths the response, and prevents non-physical high values in the risk index; the Sigmoid function S-shaped maps the temperature change value, which tends to 0 when the actual temperature is far below the reference value, and the weight of the overall integral is close to zero, and when the temperature approaches or exceeds the reference value, the function quickly rises to 1, thereby greatly improving the contribution of the time point in the overall index.

[0110] The disturbance analysis unit combines the liquid surface disturbance response data set, integrates the liquid surface fluctuation amplitude and frequency change, extracts the disturbance release fluctuation index rsb, and focuses on the gas disturbance evolution corresponding to high-frequency disturbance.

[0111] The formula has a physical meaning of identifying irregular, periodic and enhanced disturbances. It is used to identify whether the current disturbance shows abnormal frequency drift or intense fluctuation, and reflects the nonlinear enhancement trend in the frequency domain. The logarithmic term has an asymmetric characteristic, the high-frequency surge is amplified, and the low-frequency change is compressed, achieving automatic suppression of low disturbance frequency bands and active amplification of risk frequency bands; the sine function term is used to identify whether the disturbance in this frequency band is synchronized in time with the electrochemical disturbance duration t m to form a periodic synchronization relationship. If the frequency rp k is an integer multiple of the period formed by t m , then the sine value is close to 1, indicating that the disturbance behavior is coupled with the rhythm of the reaction process, which is a signal of high-risk synchronous disturbance.

[0112] Formula operation logic, disturbance amplitude weighting term rf k Indicates the intensity of the kth frequency band liquid surface disturbance in the monitoring period, used as the main weight factor, the larger the more significant the disturbance energy of this frequency band, the higher the energy participation; disturbance amplification adjustment term Introduce the relative amplification mechanism of disturbance frequency, emphasize the frequency points higher than the historical average, reflect whether the disturbance is abnormally concentrated in a certain frequency band; disturbance synchronous amplification term Periodic interference synchronous detection mechanism, used to screen disturbances with synchronization or resonance tendency.

[0113] Through this embodiment, the system effectively solves the problem that the traditional method cannot judge the activation risk and gas release tendency of the deposition layer in real time, and realizes the 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, which significantly improves the identification accuracy and pre-control ability of the system for the ignition boundary state, and ultimately enhances the intrinsic safety level and risk prevention ability of the storage tank operation. Example 5

[0114] Please refer to Figure 3 and Figure 1 , specifically: the comprehensive risk assessment module includes a deposition risk analysis unit and an activation stability evaluation unit;

[0115] 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 the 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:

[0116] ;

[0117] In the formula, ln represents the 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 small amplitude thermal change stage can also obtain a non-zero response, Indicates the dynamic disturbance response ability of the deposition layer after activation, and |ryj-dho| is a disturbance control factor, which is based on the principle that the disturbance is most severe when the thermal trend and the electrochemical trend are inconsistent. The overall product structure embodies the physical progression of "main trend activation to disturbance response amplification".

[0118] The activation stability evaluation unit is used for deposition activation risk evaluation according to the pre-set first deposition ignition critical threshold A and the second deposition ignition critical threshold B, and the real-time obtained deposition activation comprehensive risk index chf. The specific evaluation scheme is as follows:

[0119] When the deposition activation comprehensive risk index chf < 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.

[0120] When the first deposition activation critical threshold A ≤ the deposition activation comprehensive risk index chf < 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.

[0121] When the deposition activation comprehensive risk index chf ≥ 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 tank bottom deposition, and the second risk information is generated.

[0122] The risk information is transmitted to the hierarchical response module through a wireless network.

[0123] 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, uses 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 explosion boundary.

[0124] The physical meaning of the formula is, which reflects the possibility of the activation of the deposition layer. The square root structure simulates the nonlinear synergistic enhancement relationship of the "electrochemical-thermal activation trend", and uses to enhance the recognition ability of the slow temperature rise stage; which represents a disturbance response amplification factor, used to simulate the dynamic ability of whether a violent disturbance will occur in the activation state; the denominator represents a disturbance consistency control item. If the thermal trend and the electrochemical trend are similar, the disturbance is more synchronous, and the inhibition is smaller. The overall product structure expresses "when the activation trend exists, and the disturbance release ability is synchronized, the system is more likely to enter the out-of-control risk area".

[0125] The formula operation logic takes the electrochemical and thermal trends as "main driving factors" together, and then superimposes the disturbance release ability as a "response amplifier", which conforms to the physical mechanism of the deposition activation in the actual 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". 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 to improve the recognition ability of the system to moderate intensity risks without biasing extreme values.

[0126] The activation stability evaluation unit realizes grading risk judgment and classification feedback by setting the first deposition activation critical threshold A and the second deposition activation critical threshold B, and ultimately realizes early warning and grading control of the deposition reaction trend. This embodiment significantly improves the sensitivity, stability and timeliness of intervention of the deposition reaction identification, effectively making up for the core technical short board 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. Embodiment 6

[0127] Please refer to ​ Specifically, the grading 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:

[0128] When receiving the first risk information, 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 sampling frequency by 50% and the system detection frequency by 50%;

[0129] When receiving the second risk information, 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 exhaust.

[0130] In this embodiment, after the grading response module determines the risk level according to the deposition activation comprehensive risk index chf generated by the previous module, it implements a grading control strategy, forming a closed-loop path from data perception 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 sensor group sampling frequency and system detection frequency by 50%, in order to strengthen 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 exhaust, quickly cutting off the external driving of the reaction and dispersing the endogenous gas pressure, to prevent and control the risk of explosion from the source. This response mechanism not only realizes 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, automated and graded execution, effectively avoiding the risk of accident spread caused by reaction delay, misjudgment or human operation lag, and ultimately building an efficient and reliable storage tank safety protection system.

[0131] Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations 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 electrochemical fluctuation data, thermal dynamic behavior data and liquid surface disturbance response data. The electrochemical coupling evaluation module is used for calculating a local electrochemical coupling index dho according to the electrochemical fluctuation data and performing electrochemical coupling evaluation. The electrochemical coupling evaluation module comprises an electrochemical coupling analysis unit and an electrochemical coupling evaluation unit. The electrochemical coupling analysis unit is used for calculating the local electrochemical coupling index dho according to the electrochemical fluctuation data, identifying the linkage degree of the conductivity change and the electric field intensity, 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 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; 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 and the liquid surface disturbance response data respectively when the electrochemical coupling evaluation indicates that the deposition layer has electrochemical coupling. The deposition activation analysis module is used for executing deposition activation analysis instructions when the electrochemical coupling evaluation indicates that the deposition layer has electrochemical coupling, and specifically comprises a thermal delay analysis unit and a disturbance analysis unit. The thermal delay analysis unit is used for calculating the thermal delay activation index ryj according to the thermal dynamic behavior data, analyzing the influence of the latent heat slow-release reaction on the storage tank, i.e. 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 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. The disturbance analysis unit is used for calculating the disturbance release fluctuation index rsb according to the liquid surface disturbance response data, identifying 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; 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 risk information 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.

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 used to be installed in the bottom of the storage tank near the center area, to collect the conductivity ec of the bottom of the storage tank in real time, and the collection frequency is set to be once per second, to form a conductivity time sequence S, and the specific form of the conductivity time sequence S is: S={ec(t1), ec(t2),..., ec(tn). 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 used to be installed on the inner wall of the upper part of the storage tank to collect vibration signals 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 according to a wireless network, and to transmit 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 to receive electrochemical reaction data from the data processing center in real time, and to preprocess the data to obtain an electrochemical fluctuation data group, a thermal dynamic behavior data group and a liquid surface disturbance response data group. The preprocessing includes denoising, outlier processing, missing value processing, dimensionless processing, conductivity analysis, liquid surface disturbance analysis and disturbance frequency analysis. The denoising retains low-frequency main components and suppresses high-frequency noise according to wavelet decomposition, removes unstructured high-frequency interference components in the electrochemical reaction data, the outlier processing identifies observation points that significantly deviate from the electrochemical reaction data mode through box plot IQR method, the missing value processing is used to complete the electrochemical reaction data with sampling interruption and communication packet loss through interpolation method, and the dimensionless processing is used to standardize the multi-physical field data through Z-Score standardization. The conductivity analysis is used to calculate the conductivity time series S according to the differential method, obtain the conductivity change rate dd, represent the change trend of ion migration intensity in the storage tank bottom deposit, and reflect the degree of electrochemical reaction activity, specifically as follows: , wherein n represents the number of discrete data points, ec(t i ) and ec(t i+1 ) represent the conductivities at the time t i and the 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 to calculate the liquid surface disturbance amplitude rf through difference value, 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 component of the vibration signal P through fast Fourier transform, and to obtain the disturbance frequency rp, which represents the intensity and characteristics of the disturbance process. The electrochemical fluctuation data group includes the conductivity change rate dd and the electric field intensity eb at the bottom of the storage tank. The thermal dynamic behavior data group includes the temperature tb at the bottom of the storage tank. The liquid surface disturbance response data group 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 1, characterized in that: The electrochemical coupling evaluation unit is used to pre-set an electrochemical coupling threshold Z, and to evaluate the electrochemical coupling between the electrochemical coupling threshold Z and 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 Z, it indicates that there is no electrochemical coupling in the deposition layer, and normal monitoring is maintained at this time. 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 the deposition activation analysis instruction is executed at this time.

5. 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 includes a deposition risk analysis unit and an activation stability evaluation unit. The deposition risk analysis unit is used to comprehensively calculate the 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 to comprehensively analyze whether the deposition layer enters the reaction activation and explosion boundary, and the specific formula is as follows. ； In the formula, ln represents the logarithmic function.

6. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 5, characterized in that: The activation stability evaluation unit is used for deposit activation risk evaluation according to the pre-set first deposit activation critical threshold A and second deposit activation critical threshold B and the real-time obtained deposit activation comprehensive risk index chf, and the specific evaluation scheme is as follows: When the deposit activation comprehensive risk index chf is less than the first deposit activation critical threshold A, it indicates that the deposit activation is in a stable state, and the normal detection frequency is maintained. When the first deposit activation critical threshold A is less than or equal to the deposit activation comprehensive risk index chf and less than the second deposit activation critical threshold B, it indicates that the deposit activation is in an activation state, and the first risk information is generated. When the deposit activation comprehensive risk index chf is greater than or equal to the second deposit activation critical threshold B, it indicates that the deposit activation is in a dangerous state, and there is a structural risk and a chemical release risk in the tank bottom deposit, and the second risk information is generated. The risk information is transmitted to the hierarchical response module through a wireless network.

7. The industrial hazardous waste liquid storage tank state online monitoring and early warning system according to claim 6, characterized in that: 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, 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 open 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.

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