Production storage tank storage performance detection system based on data analysis

Abstract

The invention discloses a production storage tank storage performance detection system based on data analysis, and belongs to the technical field of production storage tank storage performance detection analysis. According to the scheme, internal environment storage data of a storage tank is collected and analyzed in real time, a plurality of collection points are set in storage tank equipment, and the measuring point temperature and the measuring point pressure of each collection point are obtained; the accuracy and comprehensiveness of collection and analysis of the internal environment of the storage tank are improved, a temperature change curve and a pressure change curve are described respectively, analysis and calculation are conducted by combining the maximum temperature value of a set temperature interval and the maximum pressure value of a set pressure interval, and abnormal collection points and storage risk coefficients are obtained. Whether the operation storage state of the storage tank meets the requirement or not is judged according to the storage risk coefficient, the judgment accuracy is improved, the environment influence coefficient of the abnormal collection point is obtained, whether the surrounding real-time environment is qualified or not is judged, comprehensive analysis is conducted from inside to outside, and targeted adjustment is conducted according to the judgment result.

Description

Technical Field

[0001] The present invention relates to the technical field of detection and analysis of the storage performance of production storage tanks. More specifically, it relates to a detection system for the storage performance of production storage tanks based on data analysis. Background Art

[0002] A production storage tank is an industrial facility used to store liquids or gases, and it plays an important role in protecting the environment, ensuring production safety, and improving production efficiency. Storage tanks play a key role in multiple industries such as petroleum, chemical, grain and oil, food, fire protection, transportation, and metallurgy. Among them, storage tanks for hazardous chemicals and petroleum need special attention and management in high-temperature and high-pressure environments to ensure safety and efficiency.

[0003] However, when traditional storage tanks are in use, only the operation control system can be used to ensure that the operation process of the storage tank meets the load requirements, that is, by manually inputting operation parameters and continuously operating according to the set parameters, and there is a lack of a comprehensive safety supervision and detection system. When an abnormality occurs during the use of the production storage tank, it is impossible to determine, feedback, and timely adjust the abnormal factors, thus increasing the possibility of leakage, explosion, or intensified reaction of the storage tank in an abnormal environment.

[0004] Therefore, we propose a detection system for the storage performance of production storage tanks based on data analysis for the above problems. Summary of the Invention

[0005] The purpose of the present invention is to solve existing problems. Compared with the prior art, a detection system for the storage performance of production storage tanks based on data analysis is provided. By collecting and analyzing the storage data of the internal environment of the storage tank in real time, the measured temperature and measured pressure of each collection point are obtained, the temperature change curve and pressure change curve are respectively depicted, and combined with the maximum temperature value in the set temperature range and the maximum pressure value in the set pressure range for analysis and calculation, the abnormal collection points and the storage risk coefficient are obtained. According to the storage risk coefficient, it is judged whether the operation and storage state of the storage tank meet the requirements, the judgment accuracy is improved, and the environmental impact coefficient of the abnormal collection point is obtained to judge whether the surrounding real-time environment is qualified, and a comprehensive analysis is carried out from the inside to the outside, and targeted adjustment is carried out according to the judgment result.

[0006] The purpose of the present invention can be achieved by the following technical solutions: A detection system for the storage performance of production storage tanks based on data analysis, including a storage environment collection module, a storage state evaluation module, an environmental interference analysis module, a supervision and feedback module, a regulation module, and an early warning module; The storage environment collection module is used to obtain the storage data of the storage tank. The storage data includes internal environment storage data and external environment influence data, and the collected information is respectively sent to the storage state evaluation module and the environmental interference analysis module; The storage status evaluation module generates a storage risk coefficient based on the internal environment storage data, and determines whether the storage environment of the storage tank meets the requirements according to the storage risk coefficient; The environmental interference analysis module generates an environmental impact coefficient based on the external environment impact data, and determines whether the surrounding real-time environment is qualified according to the environmental impact coefficient; The supervision feedback module conducts a summary analysis on the determination results of the storage environment of the storage tank and the determination results of the surrounding real-time environment, generates a storage normal signal, a first-level regulation signal, and a second-level regulation signal, and sends the first-level regulation signal and the second-level regulation signal to the regulation module; The regulation module generates corresponding adjustment signals according to the first-level regulation signal and the second-level regulation signal, respectively, to calibrate and adjust the storage data of the storage tank, and conducts a secondary determination on whether the adjusted storage environment meets the requirements, and sends the determination result to the warning module.

[0007] As a preferred embodiment of the present invention, the internal environment storage data includes storage material storage data and storage tank setting data. The storage material storage data includes the measured temperature and measured pressure of the storage material, and the storage tank setting data includes the set temperature and set pressure of the storage tank; A plurality of collection points are set up in the storage tank. The collection points are distributed at different depths and positions of the storage tank. The storage environment collection module obtains the measured temperature and measured pressure at each collection point; The external environment impact data includes the temperature, humidity, and ventilation data of the surrounding environment where the storage tank is located.

[0008] As a preferred embodiment of the present invention, the process of the storage status evaluation module generating a storage risk coefficient based on the internal environment storage data includes: creating a rectangular coordinate system with the collection time as the x-axis and the measured temperature as the y-axis, and drawing the temperature change curves of multiple collection points on the rectangular coordinate system by means of point plotting. Similarly, create a rectangular coordinate with the collection time as the x-axis and the measured pressure as the y-axis, and draw the pressure change curves of multiple collection points on the rectangular coordinate system; Mark the maximum temperature value of the set temperature range of the storage tank on the y-axis of the temperature change curve as the maximum safe temperature value. Draw a maximum safe temperature straight line parallel to the x-axis horizontally from the maximum safe temperature value, and obtain the collection points corresponding to the temperature change curves where the measured temperature is higher than the maximum safe temperature value, and mark them as abnormal collection points. Select all the measured temperatures at the abnormal collection points that are higher than the maximum safe temperature value, sum up all the measured temperatures higher than the maximum safe temperature value and take the average value to obtain an abnormal high temperature value. Calculate the difference between the abnormal high temperature value and the maximum safe temperature value to obtain an abnormal temperature fluctuation value, marked as YW; Mark the maximum pressure value in the set pressure range of the storage tank on the y-axis of the pressure change curve as the maximum safety pressure value. Similarly, obtain the abnormal pressure fluctuation value and mark it as YP; Perform formula calculation on the abnormal temperature fluctuation value YW and the abnormal pressure fluctuation value YP to obtain the storage risk coefficient CFX, , where f 1 , f 2 respectively represent the proportionality coefficients of the abnormal temperature fluctuation value YW and the abnormal pressure fluctuation value YP, and f 1 >f 2 >1.

[0009] As a preferred embodiment of the present invention, the process of the storage state evaluation module determining whether the storage environment of the storage tank meets the requirements includes: comparing the storage risk coefficient with the preset storage risk coefficient threshold. When the storage risk coefficient is greater than or equal to the preset storage risk coefficient threshold, it is determined that the storage environment does not meet the requirements, and a storage environment non-compliance signal is generated. Otherwise, a storage environment compliance signal is generated.

[0010] As a preferred embodiment of the present invention, the process of the environmental interference analysis module obtaining the environmental impact coefficient includes: obtaining the temperature data, humidity data, and ventilation data of the storage tank's surrounding environment corresponding to the abnormal collection point. When the temperature data or humidity data is greater than the maximum value of the corresponding preset threshold or the ventilation data is less than the minimum value of the corresponding preset threshold, it is determined that the storage tank's surrounding environment is in a risk state. Obtain the total risk duration during the detection period and the average temperature, average humidity, and average ventilation volume within the total risk duration, and mark them as t, WJ, SJ, and TFJ respectively; Perform formula calculation on the average temperature, average humidity, average ventilation volume, and total risk duration to obtain the environmental impact coefficient HYX, , where g 1 , g 2 , g 3 They respectively represent the proportionality coefficients of the average temperature, average humidity, and average ventilation volume, and their values are all positive.

[0011] As a preferred embodiment of the present invention, the process of the environmental interference analysis module determining whether the surrounding real-time environment is qualified includes: comparing the environmental impact coefficient HYX with the preset environmental impact coefficient threshold. When the environmental impact coefficient is greater than or equal to the preset environmental impact coefficient threshold, it is determined that the surrounding real-time environment is unqualified, and a surrounding real-time environment non-compliance signal is generated. Otherwise, a surrounding real-time environment compliance signal is generated.

[0012] As a preferred embodiment of the present invention, when the supervision feedback module receives a signal indicating that the storage environment meets the standard, it generates a signal indicating normal storage. When it only receives a signal indicating that the storage environment does not meet the standard, it generates a primary regulation signal. When it receives both a signal indicating that the storage environment does not meet the standard and a signal indicating that the surrounding real-time environment is unqualified, it generates a secondary regulation signal.

[0013] As a preferred embodiment of the present invention, when the regulation module receives a primary regulation signal or a secondary regulation signal, it generates a corresponding regulation signal according to the expected regulation results of the primary regulation signal and the secondary regulation signal. According to the regulation signal, the environment at the environmental anomaly collection point is regulated. New storage data of the new storage tank is obtained at the same collection point. A new storage risk coefficient and an environmental impact coefficient are generated according to the storage data. According to the storage risk coefficient and the environmental impact coefficient, a regulation compliance signal and a regulation non-compliance signal are comprehensively analyzed and generated, and the regulation non-compliance signal is sent to the warning module.

[0014] Compared with the prior art, the advantages of the present invention are as follows: (1) In this solution, by collecting and analyzing the internal environment storage data of the storage tank in real time, multiple collection points are set up inside the storage tank equipment to obtain the measured temperature and measured pressure at each collection point, so as to improve the accuracy and comprehensiveness of the collection and analysis of the internal environment of the storage tank. The temperature change curve and the pressure change curve are respectively depicted, and combined with the maximum temperature value in the set temperature range and the maximum pressure value in the set pressure range for analysis and calculation to obtain the abnormal collection point and the storage risk coefficient. According to the storage risk coefficient, it is determined whether the operation and storage status of the storage tank meet the requirements, improving the determination accuracy, and obtaining the environmental impact coefficient of the abnormal collection point to determine whether the surrounding real-time environment is qualified. Comprehensive analysis is carried out from the inside to the outside, and targeted regulation is carried out according to the determination results.

[0015] (2) This solution also summarizes and analyzes the determination results of the storage environment of the storage tank and the determination results of the surrounding real-time environment, generates a primary regulation signal and a secondary regulation signal according to the determination results, generates a corresponding regulation signal according to the expected regulation results of the primary regulation signal and the secondary regulation signal, regulates the environment at the environmental anomaly collection point according to the regulation signal, and conducts secondary detection and analysis on the regulation results to ensure that the storage tank meets the storage performance requirements after regulation. If the regulation requirements are not met, timely warning is given to take corresponding measures to reduce the storage risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is the system flow chart of the present invention; Figure 2 is the system block diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0017] The following will describe the technical solutions in the embodiments of the present invention in a clear and complete manner in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] Embodiment 1: The present invention discloses a production storage tank storage performance detection system based on data analysis. Please refer to Figure 1 - Figure 2 , which includes a storage environment acquisition module, a storage state evaluation module, an environmental interference analysis module, a supervision feedback module, a regulation module, and an early warning module.

[0019] The storage environment acquisition module is used to obtain the storage data of the storage tank. The storage data includes internal environment storage data and external environment influence data, and the collected information is respectively sent to the storage state evaluation module and the environmental interference analysis module.

[0020] Among them, the internal environment storage data includes storage material storage data and storage tank setting data. The storage material storage data includes the measured temperature and measured pressure of the storage material, and the storage tank setting data includes the set temperature and set pressure of the storage tank. The external environment influence data includes the temperature, humidity, and ventilation data of the surrounding environment where the storage tank is located; A plurality of acquisition points are set up in the storage tank. The acquisition points are distributed at different depths and positions of the storage tank. The storage environment acquisition module obtains the measured temperature and measured pressure at each acquisition point, and uses the fiber optic sensors and pressure sensors distributed at each acquisition point to collect the measured temperature and measured pressure of the storage material respectively.

[0021] The storage state evaluation module generates a storage risk coefficient through the internal environment storage data, and determines whether the storage environment of the storage tank meets the requirements according to the storage risk coefficient; The process of the storage risk coefficient includes: creating a rectangular coordinate system with the acquisition time as the x-axis and the measured temperature as the y-axis, and plotting the temperature change curves at multiple acquisition points on the rectangular coordinate system by the method of plotting points. There are multiple temperature change curves on the same rectangular coordinate system. Similarly, creating a rectangular coordinate with the acquisition time as the x-axis and the measured pressure as the y-axis, and plotting the pressure change curves at multiple acquisition points on the rectangular coordinate system. There are multiple pressure change curves on the same rectangular coordinate system; Mark the maximum temperature value of the set temperature range of the storage tank on the y-axis of the temperature change curve as the maximum safety temperature value. Draw a maximum safety temperature line parallel to the x-axis horizontally from the maximum safety temperature value. Obtain the acquisition points corresponding to the temperature change curves where the measured temperature is higher than the maximum safety temperature value, and mark them as abnormal acquisition points. Select all the measured point temperatures higher than the maximum safety temperature value at the abnormal acquisition points. Sum up all the measured point temperatures higher than the maximum safety temperature value and take the average to obtain the abnormal high temperature value. Calculate the difference between the abnormal high temperature value and the maximum safety temperature value to obtain the abnormal temperature fluctuation value, marked as YW. The larger the abnormal temperature fluctuation value, the more it indicates that the temperature measurement value at a certain time at the abnormal acquisition point exceeds the maximum safety temperature value, and the larger the value, the greater the high temperature risk. Mark the maximum pressure value of the set pressure range of the storage tank on the y-axis of the pressure change curve as the maximum safety pressure value. Similarly, obtain the abnormal pressure fluctuation value, marked as YP. The larger the abnormal pressure fluctuation value, the greater the high pressure risk of the abnormal acquisition point. Perform a formula calculation on the abnormal temperature fluctuation value YW and the abnormal pressure fluctuation value YP to obtain the storage risk coefficient CFX. , where f 1 , f 2 respectively represent the proportionality coefficients of the abnormal temperature fluctuation value YW and the abnormal pressure fluctuation value YP, f 1 > f 2 > 1. The larger the storage risk coefficient CFX, the greater the risk of the storage environment in the storage tank, and the more unfavorable it is for safe storage. The process of the storage status evaluation module determining whether the storage environment of the storage tank meets the requirements includes: comparing the storage risk coefficient with the preset storage risk coefficient threshold. When the storage risk coefficient is greater than or equal to the preset storage risk coefficient threshold, it is determined that the storage environment does not meet the requirements, and a storage environment non-compliance signal is generated. Otherwise, a storage environment compliance signal is generated.

[0022] The environmental interference analysis module generates an environmental impact coefficient through the external environment impact data, and determines whether the surrounding real-time environment is qualified according to the environmental impact coefficient. The process of obtaining the environmental impact coefficient includes: obtaining the temperature data, humidity data, and ventilation data of the storage tank surrounding environment corresponding to the abnormal acquisition points. When the temperature data or humidity data is greater than the maximum value of the corresponding preset threshold or the ventilation data is less than the minimum value of the corresponding preset threshold, it is determined that the storage tank surrounding environment is in a risk state. Obtain the total risk duration during the monitoring period and the average temperature, average humidity, and average ventilation volume during the total risk duration, and mark them as t, WJ, SJ, and TFJ respectively. Perform a formula calculation on the average temperature, average humidity, average ventilation volume, and total risk duration to obtain the environmental impact coefficient HYX. , where g 1 、g 2 、g 3 They are respectively the proportionality coefficients of the average temperature, average humidity, and average ventilation volume, and their values are all positive. The larger the environmental impact coefficient HYX, the worse the external surrounding environment of the storage tank, and the greater the impact on the normal operation and use of the storage tank; Compare the environmental impact coefficient HYX with the preset environmental impact coefficient threshold. When the environmental impact coefficient is greater than or equal to the preset environmental impact coefficient threshold, it is determined that the surrounding real-time environment is unqualified, and a surrounding real-time environment unqualified signal is generated. Otherwise, a surrounding real-time environment qualified signal is generated.

[0023] Example 2: The supervision feedback module summarizes and analyzes the determination results of the storage environment of the storage tank and the determination results of the surrounding real-time environment. The specific process includes: Please refer to Figure 2 , when the supervision feedback module receives the storage environment compliance signal, it generates a storage normal signal. When only receiving the storage environment non-compliance signal, it generates a first-level regulation signal. When receiving both the storage environment non-compliance signal and the surrounding real-time environment non-compliance signal, it generates a second-level regulation signal, and sends the first-level regulation signal and the second-level regulation signal to the regulation module.

[0024] When the regulation module receives the first-level regulation signal or the second-level regulation signal, it generates a corresponding regulation signal according to the predicted adjustment results of the first-level regulation signal and the second-level regulation signal; Adjust the environment at the environmental anomaly collection point according to the regulation signal. Collect and comprehensively analyze the environmental distribution of the storage tank from the inside to the outside, and make targeted adjustments according to the determination results; After the adjustment, obtain the new storage data of the storage tank at the same collection point, generate a new storage risk coefficient and environmental impact coefficient according to the storage data, and comprehensively analyze the storage risk coefficient and environmental impact coefficient to generate a regulation compliance signal and a regulation non-compliance signal; Specifically: when the supervision feedback module receives the storage environment compliance signal, it indicates that after the environmental adjustment, the internal storage environment of the storage tank meets the standard, and a regulation compliance signal is generated. When receiving the storage environment non-compliance signal, it indicates that after the environmental adjustment, the internal storage environment of the storage tank still does not meet the standard, and a regulation non-compliance signal is generated; And send the regulation non-compliance signal to the warning module. The warning module generates warning content according to the regulation non-compliance signal to timely remind the staff to take corresponding measures to reduce the storage risk.

[0025] In summary, the present invention collects and analyzes the stored data of the internal environment of the storage tank in real time, sets up multiple collection points inside the storage tank equipment, obtains the measured temperature and measured pressure at each collection point, so as to improve the accuracy and comprehensiveness of the collection and analysis of the internal environment of the storage tank, respectively depict the temperature change curve and the pressure change curve, and combine the maximum temperature value in the set temperature range and the maximum pressure value in the set pressure range for analysis and calculation to obtain abnormal collection points and storage risk coefficients, determine whether the operation and storage status of the storage tank meet the requirements according to the storage risk coefficients, improve the accuracy of the determination, and obtain the environmental impact coefficient of the abnormal collection points to determine whether the surrounding real-time environment is qualified, and conduct a comprehensive analysis from the inside to the outside; Generate a first-level regulation signal and a second-level regulation signal according to the determination result of the storage performance of the storage tank, generate corresponding regulation signals according to the predicted regulation results of the first-level regulation signal and the second-level regulation signal, regulate the environment at the abnormal environmental collection point in a targeted manner according to the regulation signals, and conduct secondary detection and analysis on the regulation results to ensure that the storage tank meets the storage performance requirements after regulation. If the regulation requirements are not met, give an early warning in time and take corresponding measures to reduce the storage risk.

[0026] The above; only the preferred specific implementation manner of the present invention; but the protection scope of the present invention is not limited thereto; any person skilled in the art within the technical scope disclosed by the present invention; according to the technical solution of the present invention and its improved concept, make equivalent replacements or changes; should be covered by the protection scope of the present invention.

Claims

1. A production storage tank storage performance detection system based on data analysis, characterized in that: It includes storage environment acquisition module, storage status assessment module, environmental interference analysis module, supervision feedback module, control module and early warning module; The storage environment acquisition module is used to obtain storage data of the storage tank, the storage data including internal environment storage data and external environment impact data, and send the collected information to the storage state evaluation module and the environmental interference analysis module respectively; The storage state assessment module generates a storage risk coefficient through the internal environment storage data, and determines whether the storage environment of the storage tank meets the requirements according to the storage risk coefficient; The environmental interference analysis module generates an environmental impact coefficient through external environmental impact data, and determines whether the surrounding real-time environment is qualified according to the environmental impact coefficient; The supervision feedback module summarizes and analyzes the determination results of the storage environment of the storage tank and the determination results of the surrounding real-time environment, and generates a storage normal signal and a primary control signal and a secondary control signal, and sends the primary control signal and the secondary control signal to the control module; The control module generates corresponding adjustment signals according to the primary control signal and the secondary control signal to calibrate and adjust the storage data of the storage tank, and makes a secondary judgment on whether the adjusted storage environment meets the requirements, and sends the judgment result to the early warning module.

2. The system for detecting storage performance of a production storage tank based on data analysis according to claim 1, characterized in that: The internal environment storage data includes storage data of stored objects and storage tank setting data, wherein the storage data includes the measurement point temperature and the measurement point pressure of the stored objects, and the storage tank setting data includes the setting temperature and the setting pressure of the storage tank; Multiple collection points are set up in the storage tank. The collection points are distributed at different depths and positions in the storage tank. The storage environment collection module obtains the measurement point temperature and measurement point pressure at each collection point. External environmental impact data include temperature, humidity and ventilation data of the surrounding environment of the storage tank.

3. The system for detecting storage performance of production storage tanks based on data analysis according to claim 2 is characterized in that: The process of generating a storage risk coefficient by the storage state assessment module through the internal environment storage data includes: creating a rectangular coordinate system with the collection time as the x-axis and the measuring point temperature as the y-axis, and drawing temperature change curves at multiple collection points on the rectangular coordinate system by plotting points; similarly, creating a rectangular coordinate with the collection time as the x-axis and the measuring point pressure as the y-axis, and drawing pressure change curves at multiple collection points on the rectangular coordinate system; The maximum temperature value of the set temperature range of the storage tank is marked on the y-axis of the temperature change curve as the maximum safe temperature value, and a maximum safe temperature straight line is drawn from the maximum safe temperature value in the horizontal direction and parallel to the x-axis, and the acquisition point corresponding to the temperature change curve where the measured temperature is higher than the maximum safe temperature value is obtained, and it is marked as an abnormal acquisition point, and all the measurement point temperatures higher than the maximum safe temperature value on the abnormal acquisition point are selected, and all the measurement point temperatures higher than the maximum safe temperature value are summed and averaged to obtain an abnormal high temperature value, and the difference between the abnormal high temperature value and the maximum safe temperature value is calculated to obtain an abnormal temperature floating value, which is marked as YW; The maximum pressure value of the set pressure range of the storage tank is marked on the y-axis of the pressure change curve as the maximum safety pressure value. Similarly, the abnormal pressure fluctuation value is obtained and marked as YP; The storage risk coefficient CFX is obtained by calculating the abnormal temperature floating value YW and the abnormal pressure floating value YP through a formula.

4. The system for detecting storage performance of a production storage tank based on data analysis according to claim 3 is characterized in that: The process by which the storage status assessment module determines whether the storage environment of the storage tank meets the requirements includes: comparing the storage risk coefficient with a preset storage risk coefficient threshold; when the storage risk coefficient is greater than or equal to the preset storage risk coefficient threshold, determining that the storage environment does not meet the requirements and generating a storage environment non-compliant signal; otherwise, generating a storage environment compliant signal.

5. The system for detecting storage performance of production storage tanks based on data analysis according to claim 4 is characterized in that: The process of obtaining the environmental impact coefficient by the environmental interference analysis module includes: obtaining the temperature data, humidity data and ventilation data of the surrounding environment of the storage tank corresponding to the abnormal collection point; when the temperature data or the humidity data is greater than the corresponding preset threshold maximum value or the ventilation data is less than the corresponding preset threshold minimum value, it is judged that the surrounding environment of the storage tank is in a risk state; the total risk duration in the monitoring period and the average temperature, humidity and ventilation volume in the total risk duration are obtained, which are marked as t, WJ, SJ and TFJ respectively; The environmental impact coefficient HYX is calculated by using the formula for the mean temperature, mean humidity, mean ventilation volume and total risk duration.

6. The system for detecting storage performance of production storage tanks based on data analysis according to claim 5, characterized in that: The process of the environmental interference analysis module determining whether the surrounding real-time environment is qualified includes: comparing the environmental impact coefficient HYX with a preset environmental impact coefficient threshold; when the environmental impact coefficient is greater than or equal to the preset environmental impact coefficient threshold, determining that the surrounding real-time environment is unqualified and generating a surrounding real-time environment unqualified signal; otherwise, generating a surrounding real-time environment qualified signal.

7. The system for detecting storage performance of production storage tanks based on data analysis according to claim 6 is characterized in that: When the supervision feedback module receives a storage environment compliance signal, it generates a storage normal signal. When it only receives a storage environment non-compliance signal, it generates a first-level supervision signal. When it receives both a storage environment non-compliance signal and a surrounding real-time environment unqualified signal, it generates a second-level supervision signal.

8. The system for detecting storage performance of production storage tanks based on data analysis according to claim 7, characterized in that: When the control module receives the primary control signal or the secondary control signal, it generates a corresponding control signal according to the control result expected by the primary control signal or the secondary control signal. The environment at the environmental abnormality collection point is adjusted according to the adjustment signal, and the storage data of the new storage tank is obtained at the same collection point. A new storage risk coefficient and environmental impact coefficient are generated according to the storage data. An adjustment compliance signal and an adjustment non-compliance signal are generated based on a comprehensive analysis of the storage risk coefficient and the environmental impact coefficient, and the adjustment non-compliance signal is sent to the early warning module.

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