A product oil storage tank foundation settlement and deformation monitoring and early warning system and method

Abstract

The application discloses a product oil storage tank foundation settlement and deformation monitoring and early warning system and method, relates to the technical field of storage tank safety monitoring, and comprises a settlement sensing layer, a warehouse level application layer and a platform application layer; the settlement sensing layer is configured with multiple types of explosion-proof sensors, can collect storage tank data in real time, and can process settlement and deformation related data of a storage tank foundation; the warehouse level application layer receives data transmitted by the settlement sensing layer, realizes prediction of a storage tank settlement trend and quantitative evaluation of a risk level; the platform application layer can realize visual display of monitoring data, early warning release and data sharing by building an enterprise safety risk intelligent control platform or connecting a third party platform. The application further discloses a product oil storage tank foundation settlement and deformation monitoring and early warning method. The application can realize real-time data collection, deep analysis, accurate processing, risk research and judgment, has high compatibility, realizes data sharing and collaborative control, and has high safety and intelligent control level.

Description

Technical Field

[0001] This invention relates to the field of storage tank safety monitoring technology, specifically to a system and method for monitoring and early warning of foundation settlement and deformation of refined oil storage tanks. Background Technology

[0002] As a critical infrastructure in the petrochemical industry, refined oil storage tanks occupy a pivotal position in the energy storage and supply system. Their safe and stable operation not only affects the continuity of enterprise production but also has a profound impact on the safety of the surrounding environment and the lives and property of people. However, during the long-term use of storage tanks, due to the combined effects of many factors such as changes in geological conditions, changes in tank load, and the influence of surrounding construction, the tank foundation is prone to settlement and deformation. If these conditions are not effectively monitored and warned in a timely manner, they may lead to a series of serious consequences, such as tank body cracking, sealing failure, resulting in refined oil leakage, or even major safety accidents such as fires and explosions, causing huge economic losses to enterprises and adverse social impacts.

[0003] Currently, monitoring of settlement and deformation of refined oil storage tank foundations mainly relies on manual periodic inspections, such as using levels to measure settlement and total stations to measure deformation. However, this method has many drawbacks: the monitoring cycle is long, making it difficult to meet real-time monitoring requirements and detect abnormal changes in the tank foundation in a timely manner; manual operation is labor-intensive, and data accuracy is easily affected by human factors, resulting in inaccurate measurement results. Although some automated monitoring systems have real-time monitoring capabilities to a certain extent, they still have significant shortcomings in practical applications. In terms of explosion-proof design, they cannot fully adapt to the flammable and explosive hazardous environment of oil depots, posing safety hazards; sensor configuration flexibility is low, making it difficult to make reasonable adjustments according to the actual conditions of different oil depots, resulting in resource waste or insufficient monitoring; the level of intelligent data processing is low, failing to perform in-depth analysis and effective mining of monitoring data, and unable to provide strong support for risk assessment and early warning decisions; platform compatibility is poor, making it difficult to effectively integrate with the diverse management and control platforms of enterprises, limiting data sharing and collaborative applications. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the above-mentioned defects of the prior art and provide a system and method for monitoring and early warning of settlement and deformation of the foundation of refined oil storage tanks that can realize real-time data acquisition, in-depth analysis, accurate processing, risk assessment, high compatibility, facilitate enterprises to keep abreast of the safety status of storage tanks, realize data sharing and collaborative management, and have a high level of safety and intelligent management.

[0005] The technical solution adopted by the present invention to solve its technical problem is as follows: a monitoring and early warning system for settlement and deformation of refined oil storage tank foundation, comprising: a settlement sensing layer, a tank-level application layer and a platform application layer;

[0006] The settlement sensing layer is equipped with multiple types of explosion-proof sensors, which are installed on the top of the storage tank and at the edge of the tank area to collect storage tank data in real time. The data related to the settlement and deformation of the storage tank foundation are processed by a comprehensive settlement calculation and micro-seismic feature extraction algorithm.

[0007] The tank-level application layer receives data transmitted from the settlement perception layer, and with the help of the data acquisition server, uses a settlement trend prediction model and a risk level assessment algorithm to predict the settlement trend of the storage tank and quantitatively assess the risk level.

[0008] The platform application layer enables the visualization of monitoring data, the release of early warnings, and data sharing by building an intelligent enterprise security risk management platform or connecting with third-party platforms.

[0009] Preferably, the settlement sensing layer includes: a BeiDou GNSS device, an tilt and microseismic sensor, a displacement sensor, and a data acquisition unit.

[0010] Preferably, the BeiDou GNSS equipment includes a BeiDou GNSS receiver and a BeiDou GNSS reference receiver.

[0011] Preferably, the tilt and micro-vibration sensor includes a two-dimensional tilt sensor and a zero-frequency micro-vibration acceleration sensor.

[0012] Preferably, the BeiDou GNSS receiver and the BeiDou GNSS reference receiver are explosion-proof or intrinsically safe.

[0013] Preferably, the BeiDou GNSS receiver, the two-dimensional tilt sensor installed in the explosion-proof enclosure, and the zero-frequency micro-vibration acceleration sensor are all installed on the top of the storage tank.

[0014] Preferably, the BeiDou GNSS reference receiver is installed at the edge of the oil depot tank area.

[0015] Preferably, the displacement sensors are explosion-proof and are evenly distributed around the circumference of the storage tank at a radius of +0.5 meters.

[0016] Preferably, the library-level application layer includes: a data acquisition server, a data storage device, and a data interaction module.

[0017] Preferably, the data acquisition server has data parsing, trend analysis, and risk assessment functions.

[0018] Preferably, the data interaction module is used to isolate the network between the library-level application layer and the settlement perception layer and platform application layer, and only opens the necessary data transmission ports.

[0019] Preferably, the platform application layer includes: an enterprise management and control platform, a third-party interface, and an early warning terminal.

[0020] Preferably, the enterprise management platform is a web-based intelligent management and control platform for storage tank safety built on an ECS server.

[0021] Preferably, the third-party interface is a standard OPCUA interface developed for connecting with the local emergency management bureau's hazardous chemicals safety supervision platform.

[0022] Preferably, the early warning terminal includes: mobile phones configured for tank farm maintenance personnel, industrial-grade SMS early warning terminals configured for enterprise safety management departments, and audible and visual alarms set up in the monitoring center.

[0023] The technical solution adopted by the present invention to further solve its technical problem is as follows: A method for monitoring and early warning of settlement and deformation of the foundation of a refined oil storage tank, comprising the following steps:

[0024] (1) Settlement sensing layer equipment installation: Install each sensor and supporting equipment according to the preset plan; fix an explosion-proof box at the center point of the top of each tank, and install a two-dimensional tilt sensor and a zero-frequency micro-vibration acceleration sensor inside the box; install a Beidou GNSS receiver at the edge of the tank top; evenly distribute concrete bases on the circumference of each tank with a radius of +0.5m, install stainless steel reflectors on the top of the bases, and install laser displacement sensors on the top of the tank corresponding to the reflector positions; install Beidou GNSS reference receivers in the stable area at the edge of the tank area. After all equipment is installed, check the explosion-proof sealing performance.

[0025] (2) Inter-level connection and network construction: Explosion-proof shielded cables are used to connect each sensor to the corresponding data acquisition unit; the Beidou GNSS receiver, two-dimensional tilt sensor, and zero-frequency micro-vibration acceleration sensor are connected to the acquisition unit through the RS485 interface, and the laser displacement sensor is connected to the acquisition unit through the 4-20mA analog interface; an explosion-proof switch is configured in the tank area to connect the explosion-proof data acquisition unit to the data acquisition server of the warehouse application layer through the industrial Ethernet; dual servers, storage array and explosion-proof firewall are deployed in the warehouse application layer. The server and storage array are connected through a dedicated interface, and the firewall is connected to the industrial Ethernet to isolate different network levels; the platform application layer builds a Web-based management and control platform based on the cloud server, establishes a connection with the warehouse application layer server through the encryption protocol, and completes the standard interface docking with the third-party supervision platform.

[0026] (3) Equipment parameter configuration and calibration: Log in to the explosion-proof data acquisition device management interface, set the data sampling interval, and configure the communication parameters of each sensor; operate the Beidou GNSS reference receiver, complete the reference station initialization and coordinate calibration, and send the reference data to the Beidou GNSS receiver of each storage tank in real time to perform differential correction on the GNSS measurement data; start the two-dimensional tilt sensor and the zero-frequency micro-vibration acceleration sensor, and adjust the sensor attitude through the calibration tool to keep the error within the preset range; debug the laser displacement sensor, adjust the probe focal length and measurement range to ensure that the reflector signal strength meets the standard;

[0027] (4) Software function test and threshold setting: Start the tank settlement monitoring and analysis system software on the data acquisition server, test the data parsing function, and the settlement sensing layer calculates the comprehensive settlement of the tank through the multi-source sensor data fusion algorithm to reflect the overall settlement status of the tank; at the same time, it captures the small vibrations and potential structural changes of the tank foundation through the micro-vibration feature extraction algorithm.

[0028] Extracting microseismic feature values Simulating abnormal input data, the database-level application layer quantifies the current safety status of the storage tank using a settlement trend prediction model and a risk level assessment algorithm, and marks the risk level. On the web-based management platform, check the display effect of real-time data dashboards and settlement trend charts; and set early warning thresholds in accordance with tank design standards and industry specifications.

[0029] (5) Real-time monitoring and data viewing: Tank farm maintenance personnel can view the real-time monitoring data of the tanks at any time through a mobile APP, including the current settlement amount, settlement rate, tilt angle, and micro-vibration characteristic value of each tank, and can also view the settlement trend curve; the monitoring center duty personnel can monitor the safety status of all tanks in real time through an LCD splicing screen. The screen displays the data in sections according to the tank number, with green representing normal, yellow representing warning, and red representing emergency warning, and the data is automatically refreshed;

[0030] (6) Early warning reception and handling: When the settlement rate of the storage tank reaches the early warning threshold due to the increase of soil moisture content during the rainy season, the system triggers an early warning: the operation and maintenance personnel receive a pop-up notification on their mobile APP; the industrial-grade SMS early warning terminal of the enterprise's safety management department sends an early warning SMS to the mobile phones of the management personnel; the sound and light alarm of the monitoring center is activated, the storage tank area on the screen turns yellow, and after receiving the early warning, the operation and maintenance personnel arrive at the site and use a portable inclinometer to conduct auxiliary detection of the storage tank foundation. After confirming the abnormal settlement, they immediately report to the enterprise's safety management department and activate the storage tank foundation reinforcement plan.

[0031] (7) Historical data storage and analysis: The storage array automatically stores all raw sensor data and data calculated using formulas. , , The system provides data and supports quick retrieval by tank number and time range. Enterprise technicians can use the monitoring and analysis system to export the periodic settlement data of each tank. The tank-level application layer uses a settlement trend prediction model, which combines the comprehensive settlement amount and microseismic characteristic values ​​to predict the settlement status of the tanks and generate a settlement analysis report to analyze the foundation settlement pattern of each tank and assess the service life of the tanks.

[0032] (8) Third-party platform data push: The system pushes key monitoring data to third-party monitoring platforms at a preset frequency through standard interfaces, including the data for each storage tank. , , The platform displays early warning status, achieves a high success rate in pushing notifications, and allows regulatory authorities to remotely monitor the status of each storage tank in real time. Value, when a certain storage tank When the emergency warning threshold is reached, the warning information will be obtained immediately.

[0033] Preferably, in step (4), the formula for calculating the overall settlement of the storage tank is: ,in, for The total settlement of the storage tank foundation at all times reflects the overall settlement status of the storage tank. Measured for BeiDou GNSS receiver Settlement at any given time This is a weighted average of the values ​​monitored by the displacement sensor. Measured by a two-dimensional tilt sensor The amount of change in tilt at any given time. Let the radius of the storage tank be 1. , , The dynamic weighting coefficients satisfy the following conditions: It optimizes in real time through machine learning, and adaptively adjusts according to the accuracy of different sensors and the degree of environmental interference.

[0034] Preferably, in step (4), the algorithm formula for the micro-vibration and potential structural changes of the tank foundation is: ,in, for The microseismic characteristic values ​​at a given time are used to characterize the vibration activity of the tank foundation; For zero-frequency micro-vibration accelerometers in Raw acceleration data collected at all times. For sliding time windows, This is the attenuation coefficient, adjusted according to the material characteristics of the storage tank.

[0035] Preferably, in step (4), the algorithm formula for quantifying the current safety status of the storage tank is: ,in, Risk level, This is the initial settlement baseline value for the storage tank, i.e., the initial measurement value after the system installation and commissioning are completed; The maximum allowable settlement of the storage tank is determined based on the tank design standards and material properties. for The settlement rate at time t, i.e., the time derivative of the settlement amount; For the maximum allowable settlement rate, The early warning threshold for microseismic characteristic values. for Microseismic characteristic values ​​at time.

[0036] Preferably, in step (4), when When an alert is triggered, An emergency warning is triggered at that time.

[0037] Preferably, in step (7), the prediction model formula is: ,in, For the future The predicted settlement value of the storage tank at any given time is used to predict the settlement trend in advance; for The total settlement at any given time is used as the prediction benchmark. For the amount of settlement First-order time derivative, The order of prediction is the highest level of accuracy. The higher the order, the higher the prediction accuracy. This can be adjusted according to monitoring requirements. To predict time steps and meet the early warning lead time requirements in different scenarios; This is a microseismic correction factor used to correlate microseismic signals with settlement trends, thereby improving prediction accuracy. for Microseismic characteristic values ​​at time.

[0038] The beneficial effects of the present invention, the refined oil storage tank foundation settlement and deformation monitoring and early warning system and method, are as follows:

[0039] (1) The settlement and deformation monitoring and early warning system for the foundation of the refined oil storage tank of the present invention can flexibly select sensor combinations according to the actual conditions of the oil depot, and the system has high compatibility. Through the platform application layer, it can build an intelligent management and control platform for enterprise safety risks, so that enterprises can keep track of the safety status of the storage tank in real time. It can also push data to a third-party platform through a standard interface to realize data sharing and collaborative management and control, effectively improving the safety and intelligent management and control level of refined oil storage tank operation.

[0040] (2) The method for monitoring and early warning of settlement and deformation of the foundation of the refined oil storage tank of the present invention achieves real-time data collection of settlement and deformation of the foundation of the refined oil storage tank through the collaborative work of multiple types of sensors in the settlement sensing layer. Combined with the specific algorithm in the customized software of the tank-level application layer, the collected data can be deeply analyzed and accurately processed. This not only significantly improves the real-time performance of monitoring, but also accurately analyzes the settlement and deformation situation, providing a reliable basis for risk assessment and effectively making up for the shortcomings of poor real-time performance and low data accuracy of traditional manual monitoring. Attached Figure Description

[0041] Figure 1 This is a schematic diagram of an embodiment of the refined oil storage tank foundation settlement and deformation monitoring and early warning system of the present invention;

[0042] Figure 2 This is a flowchart of an embodiment of the method for monitoring and early warning of settlement and deformation of the foundation of refined oil storage tanks according to the present invention. Detailed Implementation

[0043] The present invention will be further described below with reference to the embodiments and accompanying drawings.

[0044] Example 1

[0045] like Figure 1 As shown, this embodiment of the invention provides a monitoring and early warning system for settlement and deformation of refined oil storage tank foundations, including: a settlement sensing layer, a tank-level application layer, and a platform application layer;

[0046] The settlement sensing layer is equipped with multiple types of explosion-proof sensors, which are installed on the top of the storage tank and at the edge of the tank area to collect storage tank data in real time. The data related to the settlement and deformation of the storage tank foundation are processed through comprehensive settlement calculation and microseismic feature extraction algorithms. The settlement sensing layer includes: Beidou GNSS equipment, tilt and microseismic sensors, displacement sensors and data acquisition devices.

[0047] Beidou GNSS equipment: Each storage tank is equipped with one Beidou GNSS receiver, intrinsically safe and explosion-proof, installed on the top of the tank, for real-time acquisition of three-dimensional position data of the tank top; one Beidou GNSS reference receiver, intrinsically safe and explosion-proof, is installed in a stable area on the northwest side of the tank area (away from construction disturbance), at the edge of the oil depot tank area, to provide reference position calibration for all GNSS receivers;

[0048] Inclination and micro-vibration sensors: Each storage tank is equipped with one two-dimensional inclination sensor (measurement range ±3°, accuracy 0.005°) and one zero-frequency micro-vibration accelerometer (measurement range ±3g, accuracy 0.0005g). Both are installed together in a custom-made explosion-proof enclosure and fixed to the center point of the tank top with stainless steel brackets to ensure that the sensor acquisition direction is perpendicular to the tank top plane.

[0049] Displacement sensor: Explosion-proof and explosion-proof level. Six laser displacement sensors are evenly distributed around the circumference of each tank at a radius of 0.5m. The sensor probes are vertically downward and aligned with a 304 stainless steel reflector (200mm in diameter, surface flatness ≤0.1mm) pre-set on the ground of the tank area. The reflector is fixed by a concrete base.

[0050] Data acquisition unit: One explosion-proof data acquisition unit is configured for every three storage tanks. The acquisition unit has 8 built-in RS485 interfaces and 16 4-20mA analog interfaces to meet the data reception requirements of all sensors in the area.

[0051] Each sensor and data acquisition unit is connected using explosion-proof shielded cables: the signal output terminals of the Beidou GNSS receiver, the two-dimensional tilt sensor, and the zero-frequency micro-vibration accelerometer are connected to the data acquisition unit via RS485 interfaces, and the analog output terminal of the laser displacement sensor is connected to the data acquisition unit via a 4-20mA interface; the data acquisition unit establishes a connection with the database-level application layer data acquisition server via industrial Ethernet, the data sampling interval is set to 15s / time, and the transmission delay is stably controlled within 30ms. In the environment of oil and gas volatilization in the tank area, no signal interference or data packet loss occurred.

[0052] The settlement sensing layer can achieve multi-dimensional data synchronous acquisition. Among them, the Beidou GNSS equipment has a monitoring error of ≤2.5mm for tank top settlement, the laser displacement sensor has a monitoring error of ≤0.01mm for foundation displacement, and the zero-frequency micro-vibration acceleration sensor can capture the tiny vibration signal of 0.003g caused by vehicles passing by the road around the tank area. When the vibration frequency exceeds 0.5Hz, it can provide timely feedback, providing data support for judging whether the tank foundation has hidden dangers caused by external disturbances.

[0053] The tank-level application layer receives data transmitted from the settlement sensing layer, and uses a data acquisition server to predict the settlement trend of the storage tank and quantitatively assess the risk level through a settlement trend prediction model and a risk level assessment algorithm. The tank-level application layer includes: a data acquisition server, a data storage device, and a data interaction module.

[0054] Data collection server: Configured with 2 servers, and the servers are installed with Windows Server 2022 operating system, with functions such as data parsing, trend analysis, and risk assessment;

[0055] Data storage equipment: Equipped with one Inspur AS5500 storage array (capacity 20TB, using RAID6 redundancy architecture) to store raw sensor data, processed settlement data and early warning logs. The data retention period is set to 2 years, and it supports fast retrieval by tank number and time range.

[0056] Data interaction module: Configure one explosion-proof firewall to isolate the network between the library-level application layer and the settlement perception layer and platform application layer, and only open the necessary data transmission ports to ensure data interaction security;

[0057] The data acquisition server is connected to two explosion-proof data acquisition units in the settlement sensing layer via industrial Ethernet. It receives raw data collected by the sensors in real time. After being analyzed by the tank settlement monitoring and analysis system, the data generates key indicators such as the overall settlement of the tank, changes in foundation displacement, and tank tilt angle. The processed data is written to the Inspur AS5500 storage array in real time, and core indicators (such as real-time settlement, settlement rate, and risk level) are pushed to the platform application layer via TCP / IP protocol. When the server experiences a hardware failure, the backup server can automatically switch over within 30 seconds to ensure uninterrupted data processing.

[0058] The database-level application layer has a data processing response time of ≤1s and can generate settlement trend curves for each storage tank in real time. When the settlement rate of a storage tank increases from 0.5mm / d to 1.8mm / d due to the increase in soil moisture content during the rainy season, the system can identify the anomaly and mark the risk level within 5 minutes. The data storage device can support the historical data storage needs of 6 storage tanks for 2 years. When querying the settlement data of a storage tank for any time period, the response time is ≤0.5s, providing reliable data support for tracing the settlement change pattern of the storage tank foundation and formulating maintenance plans.

[0059] The platform application layer enables visualized display of monitoring data, early warning release, and data sharing by building an intelligent enterprise security risk management platform or connecting to a third-party platform. The platform application layer includes: an enterprise management platform, a third-party interface, and an early warning terminal.

[0060] Enterprise Management Platform: A web-based intelligent management platform for storage tank safety is built on an ECS server. The platform interface includes modules such as real-time data dashboards for storage tanks, settlement trend charts, early warning information lists, and historical data queries. Six 65-inch LCD splicing screens are configured in the tank area monitoring center to display the safety status of all storage tanks.

[0061] Third-party interface: Develop the OPCUA standard interface to connect with the local emergency management bureau's hazardous chemicals safety supervision platform and push key monitoring data of the storage tanks at a frequency of once every 30 minutes;

[0062] Early warning terminals: Eight mobile phones are provided for tank area maintenance personnel, three industrial-grade SMS early warning terminals are provided for the enterprise's safety management department, and an audible and visual alarm is installed in the monitoring center.

[0063] The platform application layer connects to the data acquisition server of the library-level application layer via the HTTP protocol to receive real-time data such as the comprehensive settlement amount, settlement rate, and risk level of the storage tank, which is then visualized on the web-based intelligent management and control platform for storage tank safety. When the system determines that the risk level of the storage tank has reached the warning threshold, the platform automatically triggers multiple warnings: push pop-up notifications, SMS warning terminals send warning SMS messages to designated management personnel, and the monitoring center's audible and visual alarms are activated. When pushing data to the local emergency management bureau's hazardous chemical safety supervision platform through the OPCUA interface, the data format meets regulatory requirements, and there are no data format errors or push interruption issues.

[0064] Example 2

[0065] This embodiment uses the safety management of multiple vertical steel finished oil storage tanks (storing diesel oil) within a petrochemical industrial park as an application scenario. Figure 2 As shown, it includes the following steps:

[0066] (1) Settlement sensing layer equipment installation: Install each sensor and supporting equipment according to the preset plan; fix the explosion-proof box at the center point of the top of each tank with a stainless steel bracket, and install a two-dimensional tilt sensor and a zero-frequency micro-vibration acceleration sensor in the box; install a Beidou GNSS receiver at the edge of the tank top to ensure that the receiving antenna is unobstructed; evenly arrange concrete bases on the circumference of each tank with a radius of +0.5m, install stainless steel reflectors on the top of the bases, and install laser displacement sensors on the top of the tank corresponding to the reflector position to ensure that the probe is vertically aligned with the reflector; install Beidou GNSS reference receivers in the stable area at the edge of the tank area, and set up one explosion-proof data acquisition device near every few tanks. After all equipment is installed, check the explosion-proof sealing performance to ensure that it meets the explosion-proof level requirements of the oil depot, so as to provide an accurate original data acquisition basis for subsequent formula calculations;

[0067] (2) Inter-level connection and network construction: Explosion-proof shielded cables are used to connect each sensor to the corresponding data acquisition unit; the Beidou GNSS receiver, two-dimensional tilt sensor, and zero-frequency micro-vibration acceleration sensor are connected to the acquisition unit through the RS485 interface, and the laser displacement sensor is connected to the acquisition unit through the 4-20mA analog interface; an explosion-proof switch is configured in the tank area to connect the explosion-proof data acquisition unit to the data acquisition server of the warehouse application layer through the industrial Ethernet; dual servers (master and backup mode), storage array and explosion-proof firewall are deployed in the warehouse application layer. The server and storage array are connected through a dedicated interface, and the firewall is connected to the industrial Ethernet to isolate different network levels; the platform application layer builds a Web-based management and control platform based on the cloud server, establishes a connection with the warehouse application layer server through the encryption protocol, and completes the standard interface docking with the third-party supervision platform to ensure that the data required for formula calculation is transmitted stably and securely between the levels;

[0068] (3) Equipment parameter configuration and calibration: Log in to the explosion-proof data acquisition device management interface, set the data sampling interval, configure the communication parameters of each sensor, and ensure that the sensor data can be uploaded to the acquisition device normally; operate the Beidou GNSS reference receiver, complete the reference station initialization and coordinate calibration, and send the reference data to the Beidou GNSS receiver of each storage tank in real time to perform differential correction on the GNSS measurement data for subsequent calculations. (Settlement measured by BeiDou GNSS) provides a benchmark; the two-dimensional tilt sensor and zero-frequency micro-seismic accelerometer are activated, and the sensor attitude is adjusted using calibration tools to ensure that the acquisition direction is perpendicular to the tank top plane, and the error is controlled within the preset range to guarantee... (Change in tilt) and (Accuracy of raw microseismic acceleration data) acquisition; debugging the laser displacement sensor, adjusting the probe focal length and measurement range to ensure the reflector signal strength meets the standard, ensuring... The measurement error of the (weighted average value of displacement sensors) meets the requirements, laying a data accuracy foundation for the subsequent calculation of the comprehensive settlement formula;

[0069] (4) Software Function Testing and Threshold Setting: Start the tank settlement monitoring and analysis system software on the data acquisition server, test the data parsing function, and calculate the comprehensive settlement of the tank through the multi-source sensor data fusion algorithm. The calculation formula is as follows: (in, for The overall settlement of the storage tank foundation at all times. Measured for BeiDou GNSS receiver Settlement at any given time This is a weighted average of the values ​​monitored by the displacement sensor. Measured by a two-dimensional tilt sensor The amount of change in tilt at any given time. Let the radius of the storage tank be 1. , , The dynamic weighting coefficients satisfy the following conditions: Through real-time optimization via machine learning, and adaptive adjustments based on the accuracy of different sensors and the degree of environmental interference, the overall settlement status of the storage tank is comprehensively reflected. Simultaneously, the settlement sensing layer captures minute vibrations and potential structural changes in the tank foundation using a micro-seismic feature extraction algorithm. The algorithm formula is as follows: (in, for The microseismic characteristic values ​​at a given time are used to characterize the vibration activity of the tank foundation; For zero-frequency micro-vibration accelerometers in Raw acceleration data collected at all times. For sliding time windows, (This is the attenuation coefficient, adjusted according to the material properties of the storage tank).

[0070] Extracting microseismic feature values Simulate abnormal input data, (such as...) sudden increase (Exceeding the standard), the tank-level application layer quantifies the current safety status of the storage tank through a settlement trend prediction model and a risk level assessment algorithm. The algorithm formula is as follows: (in, Risk level, This is the initial settlement baseline value for the storage tank, i.e., the initial measurement value after the system installation and commissioning are completed; The maximum allowable settlement of the storage tank is determined based on the tank design standards and material properties. for The settlement rate at time t, i.e., the time derivative of the settlement amount; For the maximum allowable settlement rate, The early warning threshold for microseismic characteristic values. for (Microseismic characteristic values ​​at any given time), accurately marking the risk level. , When an alert is triggered, Trigger emergency warnings in a timely manner; check the display effect of modules such as real-time data dashboards and settlement trend charts on the web-based management platform to ensure that data update delays meet requirements; set warning thresholds in accordance with tank design standards and industry specifications;

[0071] (5) Real-time monitoring and data viewing: Tank farm maintenance personnel can view the real-time monitoring data of the 6 storage tanks at any time through a mobile APP, including the current settlement amount, settlement rate, tilt angle, micro-vibration characteristic value of each storage tank, and can also view the settlement trend curves of the past 7 days and 30 days; The monitoring center duty personnel can monitor the safety status of all storage tanks in real time through 6 65-inch LCD splicing screens. The screens are divided into sections according to the storage tank number. Green represents normal (risk level < 0.8), yellow represents warning (0.8 ≤ risk level < 0.95), and red represents emergency warning (risk level ≥ 0.95). The data is automatically refreshed every 15 seconds to ensure that the dynamics of the storage tank foundation settlement and deformation can be grasped in a timely manner;

[0072] (6) Warning reception and handling: When the settlement rate of a certain storage tank increases from 0.5 mm / d to 1.8 mm / d (reaching the warning threshold) due to the increase in soil moisture content during the rainy season, the system will trigger a warning within 5 minutes: the operation and maintenance personnel will receive a pop-up notification on their mobile APP, showing "settlement rate of storage tank #3 exceeds the standard, current rate is 1.8 mm / d, risk level is 0.85"; the industrial-grade SMS warning terminal of the enterprise safety management department will send a warning SMS to the mobile phones of 5 managers; the sound and light alarm of the monitoring center will be activated, the area of ​​storage tank #3 on the screen will turn yellow, and after receiving the warning, the operation and maintenance personnel will arrive at the site within 1 hour, use a portable inclinometer to conduct auxiliary detection of the storage tank foundation, and after confirming the abnormal settlement, immediately report to the enterprise safety management department and activate the storage tank foundation reinforcement plan;

[0073] (7) Historical data storage and analysis: The storage array automatically stores all raw sensor data and data calculated using formulas. , , The data retention period can be set according to requirements. It supports rapid retrieval by tank number and time range. Periodically (e.g., quarterly), enterprise technicians export the periodic settlement data of each tank through the monitoring and analysis system. The tank-level application layer uses a settlement trend prediction model, combining comprehensive settlement and microseismic characteristic values, to predict the settlement status of tanks over a future period. The model formula is as follows: (in, For the future The predicted settlement value of the storage tank at any given time is used to predict the settlement trend in advance; for The total settlement at any given time is used as the prediction benchmark. For the amount of settlement First-order time derivative, The order of prediction is the highest level of accuracy. The higher the order, the higher the prediction accuracy. This can be adjusted according to monitoring requirements. To predict time steps and meet the early warning lead time requirements in different scenarios; This is a microseismic correction factor used to correlate microseismic signals with settlement trends, thereby improving prediction accuracy. for (Microseismic characteristic values ​​at any given time), generate a settlement analysis report, analyze the settlement patterns of each tank foundation, and assess the service life of the tanks;

[0074] (8) Data push to third-party platforms: The system pushes key monitoring data, including the data of each storage tank, to third-party monitoring platforms (such as the local emergency management bureau's monitoring platform) through standard interfaces at a preset frequency. , , The platform provides early warning status updates, ensures data format complies with industry standards, achieves a high success rate for data push notifications, and allows regulatory authorities to remotely monitor the status of each storage tank in real time. Value, when a certain storage tank When the emergency warning threshold is reached, the system can obtain early warning information immediately, guide enterprises to carry out emergency response, achieve government-enterprise collaborative management and control, and improve the level of regional hazardous chemical storage safety management.

Claims

1. A monitoring and early warning system for settlement and deformation of refined oil storage tank foundations, characterized in that, include: Settlement sensing layer, reservoir-level application layer, and platform application layer; The settlement sensing layer is equipped with multiple types of explosion-proof sensors, which are installed on the top of the storage tank and at the edge of the tank area to collect storage tank data in real time. The data related to the settlement and deformation of the storage tank foundation are processed by a comprehensive settlement calculation and micro-seismic feature extraction algorithm. The tank-level application layer receives data transmitted from the settlement sensing layer and, with the help of a data acquisition server, uses a settlement trend prediction model and a risk level assessment algorithm to predict the settlement trend of the storage tank and quantitatively assess its risk level. The prediction model formula is as follows: ,in, For the future The predicted settlement value of the storage tank at any given time is used to predict the settlement trend in advance; for The total settlement at any given time is used as the prediction benchmark. For the amount of settlement First-order time derivative, The order of prediction is the highest level of accuracy. The higher the order, the higher the prediction accuracy. This can be adjusted according to monitoring requirements. To predict time steps and meet the early warning lead time requirements in different scenarios; This is a microseismic correction factor used to correlate microseismic signals with settlement trends, thereby improving prediction accuracy. for Microseismic characteristic values ​​at time; The platform application layer enables the visualization of monitoring data, the release of early warnings, and data sharing by building an intelligent enterprise security risk management platform or connecting with third-party platforms.

2. The refined oil storage tank foundation settlement and deformation monitoring and early warning system according to claim 1, characterized in that, The settlement sensing layer includes: BeiDou GNSS equipment, tilt and microseismic sensors, displacement sensors, and a data acquisition unit; the BeiDou GNSS equipment includes a BeiDou GNSS receiver and a BeiDou GNSS reference receiver; the tilt and microseismic sensors include a two-dimensional tilt sensor and a zero-frequency microseismic acceleration sensor; the BeiDou GNSS receiver and the BeiDou GNSS reference receiver are explosion-proof or intrinsically safe; the BeiDou GNSS receiver, the two-dimensional tilt sensor, and the zero-frequency microseismic acceleration sensor installed in explosion-proof enclosures are all installed on the top of the storage tank; the BeiDou GNSS reference receiver is installed at the edge of the oil depot tank area; the displacement sensors are explosion-proof and are evenly distributed around the circumference of the storage tank radius + 0.5 meters.

3. The refined oil storage tank foundation settlement and deformation monitoring and early warning system according to claim 1 or 2, characterized in that, The library-level application layer includes: a data acquisition server, a data storage device, and a data interaction module; the data acquisition server has data parsing, trend analysis, and risk assessment functions; the data interaction module is used to isolate the network between the library-level application layer and the settlement sensing layer and the platform application layer, and only opens the necessary data transmission ports.

4. The refined oil storage tank foundation settlement and deformation monitoring and early warning system according to claim 1 or 2, characterized in that, The platform application layer includes: an enterprise management and control platform, a third-party interface, and an early warning terminal; the enterprise management and control platform is a web-based intelligent management and control platform for storage tank safety built on an ECS server; the third-party interface is an OPCUA standard interface developed for connecting with the local emergency management bureau's hazardous chemical safety supervision platform; the early warning terminal includes: mobile phones configured for tank area maintenance personnel, industrial-grade SMS early warning terminals configured for the enterprise's safety management department, and audible and visual alarms set up in the monitoring center.

5. A method for monitoring and early warning of settlement and deformation of refined oil storage tank foundations, the method being applicable to the refined oil storage tank foundation settlement and deformation monitoring and early warning system described in any one of claims 1 to 4, characterized in that, Includes the following steps: (1) Settlement sensing layer equipment installation: Install each sensor and supporting equipment according to the preset plan; fix an explosion-proof box at the center point of the top of each tank, and install a two-dimensional tilt sensor and a zero-frequency micro-vibration acceleration sensor inside the box; install a Beidou GNSS receiver at the edge of the tank top; evenly distribute concrete bases on the circumference of each tank with a radius of +0.5m, install stainless steel reflectors on the top of the bases, and install laser displacement sensors on the top of the tank corresponding to the reflector positions; install Beidou GNSS reference receivers in the stable area at the edge of the tank area. After all equipment is installed, check the explosion-proof sealing performance. (2) Inter-level connection and network construction: Explosion-proof shielded cables are used to connect each sensor to the corresponding data acquisition unit; the Beidou GNSS receiver, two-dimensional tilt sensor, and zero-frequency micro-vibration acceleration sensor are connected to the acquisition unit through the RS485 interface, and the laser displacement sensor is connected to the acquisition unit through the 4-20mA analog interface; an explosion-proof switch is configured in the tank area to connect the explosion-proof data acquisition unit to the data acquisition server of the warehouse application layer through the industrial Ethernet; dual servers, storage array and explosion-proof firewall are deployed in the warehouse application layer. The server and storage array are connected through a dedicated interface, and the firewall is connected to the industrial Ethernet to isolate different network levels; the platform application layer builds a Web-based management and control platform based on the cloud server, establishes a connection with the warehouse application layer server through the encryption protocol, and completes the standard interface docking with the third-party supervision platform. (3) Equipment parameter configuration and calibration: Log in to the explosion-proof data acquisition device management interface, set the data sampling interval, and configure the communication parameters of each sensor; operate the Beidou GNSS reference receiver, complete the reference station initialization and coordinate calibration, and send the reference data to the Beidou GNSS receiver of each storage tank in real time to perform differential correction on the GNSS measurement data; start the two-dimensional tilt sensor and the zero-frequency micro-vibration acceleration sensor, and adjust the sensor attitude through the calibration tool to keep the error within the preset range; debug the laser displacement sensor, adjust the probe focal length and measurement range to ensure that the reflector signal strength meets the standard; (4) Software function test and threshold setting: Start the tank settlement monitoring and analysis system software on the data acquisition server, test the data parsing function, and the settlement sensing layer calculates the comprehensive settlement of the tank through the multi-source sensor data fusion algorithm to reflect the overall settlement status of the tank; at the same time, it captures the small vibrations and potential structural changes of the tank foundation through the micro-vibration feature extraction algorithm. Extracting microseismic feature values Simulating abnormal input data, the database-level application layer quantifies the current safety status of the storage tank using a settlement trend prediction model and a risk level assessment algorithm, and marks the risk level. ; On the web-based management platform, check the display effect of real-time data dashboards and settlement trend charts; and set early warning thresholds in accordance with tank design standards and industry specifications. (5) Real-time monitoring and data viewing: Tank farm maintenance personnel can view the real-time monitoring data of the tanks at any time through a mobile APP, including the current settlement amount, settlement rate, tilt angle, and micro-vibration characteristic value of each tank, and can also view the settlement trend curve; the monitoring center duty personnel can monitor the safety status of all tanks in real time through an LCD splicing screen. The screen displays the data in sections according to the tank number, with green representing normal, yellow representing warning, and red representing emergency warning, and the data is automatically refreshed; (6) Early warning reception and handling: When the settlement rate of the storage tank reaches the early warning threshold due to the increase of soil moisture content during the rainy season, the system triggers an early warning: the operation and maintenance personnel receive a pop-up notification on their mobile APP; the industrial-grade SMS early warning terminal of the enterprise's safety management department sends an early warning SMS to the mobile phones of the management personnel; the sound and light alarm of the monitoring center is activated, the storage tank area on the screen turns yellow, and after receiving the early warning, the operation and maintenance personnel arrive at the site and use a portable inclinometer to conduct auxiliary detection of the storage tank foundation. After confirming the abnormal settlement, they immediately report to the enterprise's safety management department and activate the storage tank foundation reinforcement plan. (7) Historical data storage and analysis: The storage array automatically stores all raw sensor data and data calculated using formulas. , , The system provides data and supports quick retrieval by tank number and time range. Enterprise technicians can use the monitoring and analysis system to export the periodic settlement data of each tank. The tank-level application layer uses a settlement trend prediction model, which combines the comprehensive settlement amount and microseismic characteristic values ​​to predict the settlement status of the tanks and generate a settlement analysis report to analyze the foundation settlement pattern of each tank and assess the service life of the tanks. (8) Third-party platform data push: The system pushes key monitoring data to third-party monitoring platforms at a preset frequency through standard interfaces, including the data for each storage tank. , , The platform displays early warning status, achieves a high success rate in pushing notifications, and allows regulatory authorities to remotely monitor the status of each storage tank in real time. Value, when a certain storage tank When the emergency warning threshold is reached, the warning information will be obtained immediately.

6. The method for monitoring and early warning of settlement and deformation of refined oil storage tank foundations according to claim 5, characterized in that, In step (4), the formula for calculating the overall settlement of the storage tank is: ,in, for The total settlement of the storage tank foundation at all times reflects the overall settlement status of the storage tank. Measured for BeiDou GNSS receiver Settlement at any given time This is a weighted average of the values ​​monitored by the displacement sensor. Measured by a two-dimensional tilt sensor The amount of change in tilt at any given time. Let the radius of the storage tank be 1. , , The dynamic weighting coefficients satisfy the following conditions: It optimizes in real time through machine learning, and adaptively adjusts according to the accuracy of different sensors and the degree of environmental interference.

7. The method for monitoring and early warning of settlement and deformation of refined oil storage tank foundations according to claim 5 or 6, characterized in that, In step (4), the algorithm formula for the micro-vibration and potential structural changes of the tank foundation is as follows: ,in, for The microseismic characteristic values ​​at a given time are used to characterize the vibration activity of the tank foundation; For zero-frequency micro-vibration accelerometers in Raw acceleration data collected at all times. For sliding time windows, This is the attenuation coefficient, adjusted according to the material characteristics of the storage tank.

8. The method for monitoring and early warning of settlement and deformation of refined oil storage tank foundations according to claim 5 or 6, characterized in that, In step (4), the algorithm formula for quantifying the current safety status of the storage tank is: ,in, Risk level, This is the initial settlement baseline value for the storage tank, i.e., the initial measurement value after the system installation and commissioning are completed; The maximum allowable settlement of the storage tank is determined based on the tank design standards and material properties. for The settlement rate at time t, i.e., the time derivative of the settlement amount; For the maximum allowable settlement rate, The early warning threshold for microseismic characteristic values. for Microseismic characteristic values ​​at time; when When an alert is triggered, An emergency warning is triggered at that time.

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