Hazard warning methods, devices, equipment and storage media for oil storage facilities

Abstract

This application discloses a hazard warning method, device, equipment, and storage medium for an oil storage device. The method includes: acquiring monitoring data and determining detection data of various environmental factors inside the oil storage device based on the monitoring data; determining simulation data that triggers an alarm in the oil storage device based on the detection data; and adjusting the alarm coefficients of various environmental factors based on the simulation data to provide different warnings for different environmental factors based on the alarm coefficients. In this application, the alarm coefficients can be updated according to changes in the damage value of the oil storage device to improve the real-time performance of the alarm coefficients, reduce the error between the alarm coefficients and the actual situation, and thus improve the accuracy of monitoring the safety performance of the oil storage device.

Description

Technical Field

[0001] This application relates to the field of monitoring technology for oil storage devices, and in particular to a method, device, equipment, and storage medium for early warning of danger in oil storage devices. Background Technology

[0002] After oil is extracted from the ground, it needs to be stored in oil storage devices to prevent it from deteriorating or evaporating. However, storing oil in oil storage devices requires real-time monitoring of the environment inside the devices to prevent accidents.

[0003] Currently, monitoring the internal environment of oil storage devices primarily involves using various sensor modules to monitor the environment within the device and transmitting the data to a central processing unit (CPU) via a data transmission module. The CPU then uses this data, along with preset safety parameters, to determine whether the environment poses a hazard. However, as the oil storage device ages, its destructive limits change. When these limits change, the error in assessing the device's safety performance increases, leading to a decrease in the accuracy of safety monitoring. Summary of the Invention

[0004] The main objective of this application is to provide a hazard warning method, device, equipment, and storage medium for oil storage devices, aiming to solve the technical problem in the prior art that when the damage value of an oil storage device changes, the error in judging the safety performance of the oil storage device will increase, thereby reducing the accuracy of monitoring the safety performance of the oil storage device.

[0005] To achieve the above objectives, this application provides a hazard warning method for an oil storage device, the hazard warning method for the oil storage device comprising:

[0006] Acquire monitoring data, and based on the monitoring data, determine the detection data of various environmental factors inside the oil storage device;

[0007] Based on the detection data, the simulation data that would trigger an alarm in the oil storage device is determined;

[0008] Based on the simulation data, the alarm coefficients of various environmental factors are adjusted to provide different early warnings for different environmental factors based on the alarm coefficients.

[0009] Optionally, the step of acquiring monitoring data and determining the detection data of various environmental factors inside the oil storage device based on the monitoring data includes:

[0010] Acquire monitoring data and classify the monitoring data to obtain environmental data of different environmental factors within the oil storage device;

[0011] The environmental data is input into a preset environmental prediction model. Based on the environmental prediction model, the changes in the environment within the oil storage device within a preset time period are predicted to obtain prediction data.

[0012] The environmental data and the predicted data are combined to obtain the detection data.

[0013] Optionally, the step of classifying the monitoring data to obtain environmental data for different environmental factors within the oil storage device includes:

[0014] Based on the aforementioned environmental factors, the monitored data are classified to obtain environmental parameters for each environmental factor.

[0015] The environmental parameters are filtered to obtain valid data for the current time point;

[0016] The valid data are organized and summarized to obtain environmental data for different environmental factors within the oil storage device.

[0017] Optionally, the step of inputting the environmental data into a preset environmental prediction model, and based on the environmental prediction model, predicting changes in the environment within the oil storage device over a preset time period to obtain prediction data, includes:

[0018] The environmental data is input into a preset environmental prediction model, which identifies the environmental data and determines the environmental factors corresponding to the environmental data.

[0019] Based on the aforementioned environmental factors, the corresponding environmental prediction sub-model in the environmental prediction model is invoked;

[0020] Based on the aforementioned environmental preset sub-model, the changes in the environment within the oil storage device are predicted over a preset time period to obtain prediction data.

[0021] Optionally, before the step of inputting the environmental data into a preset environmental prediction model, the method includes:

[0022] Obtain historical environmental data for the oil storage device;

[0023] The influence relationships between different environmental factors are analyzed from the historical data, and based on the influence relationships, the changes of each environmental factor are iteratively trained to obtain an environmental prediction sub-model.

[0024] By integrating multiple environmental prediction sub-models, an environmental prediction model is obtained.

[0025] Optionally, the step of determining the simulation data that triggers the alarm of the oil storage device based on the detection data includes:

[0026] Based on the detection data, damage simulations of the oil storage device under different environmental factors are performed to obtain the current damage value of the oil storage device;

[0027] Based on the preset safety range and the current damage value, simulation data of the oil storage device alarm caused by different environmental factors are calculated.

[0028] Optionally, the step of calculating simulation data of different environmental factors causing alarms in the oil storage device based on a preset safety range and the current damage value includes:

[0029] From the preset safety threshold, distinguish the safe excess value for each of the environmental factors;

[0030] Based on the safe transition value and the current damage value, simulation data is calculated to determine the alarm effect of the oil storage device caused by each of the environmental factors.

[0031] This application also provides a hazard warning device for an oil storage device, the hazard warning device for the oil storage device comprising:

[0032] The data processing module is used to acquire monitoring data and, based on the monitoring data, determine the detection data of various environmental factors inside the oil storage device.

[0033] The simulation module is used to determine the simulation data that would trigger an alarm in the oil storage device based on the detection data.

[0034] The update module is used to adjust the alarm coefficients of various environmental factors based on the simulation data, so as to provide different early warning reminders for different environmental factors based on the alarm coefficients.

[0035] This application also provides a hazard warning device for an oil storage device. The hazard warning device for the oil storage device is a physical node device. The hazard warning device for the oil storage device includes: a memory, a processor, and a program for the hazard warning method of the oil storage device stored in the memory and executable on the processor. When the program for the hazard warning method of the oil storage device is executed by the processor, it can implement the steps of the hazard warning method of the oil storage device as described above.

[0036] This application also provides a storage medium storing a program for implementing the above-described danger warning method for an oil storage device. When the program for the danger warning method for an oil storage device is executed by a processor, it implements the steps of the danger warning method for an oil storage device as described above.

[0037] This application provides a hazard warning method, device, equipment, and storage medium for an oil storage device. Compared with the prior art, where the judgment error of the safety performance of the oil storage device increases when the damage value of the oil storage device changes, thus reducing the accuracy of monitoring the safety performance of the oil storage device, this application acquires monitoring data and determines the detection data of various environmental factors inside the oil storage device based on the monitoring data; determines the simulation data that causes the oil storage device to alarm based on the detection data; and adjusts the alarm coefficients of various environmental factors based on the simulation data, so as to provide different early warning reminders for different environmental factors based on the alarm coefficients. In this application, monitoring data of different environmental factors within the oil storage device is obtained through acquired monitoring data. Simulation data of different environmental factors causing alarms in the oil storage device is obtained by combining destructive simulation with a preset safety range. The simulation data is then used to update the preset safety coefficient to obtain the current alarm coefficient of the oil storage device. The monitoring data and alarm coefficient are then used to determine the hazardous factors and trigger an alarm. In other words, this application allows for updating the alarm coefficient based on changes in the destructive value of the oil storage device, improving the real-time performance of the alarm coefficient, reducing the error between the alarm coefficient and the actual situation, and thus improving the accuracy of monitoring the safety performance of the oil storage device. Attached Figure Description

[0038] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0039] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating the first embodiment of the hazard warning method for the oil storage device of this application;

[0041] Figure 2 This is a network topology diagram of the hazard warning system for the oil storage device in this application;

[0042] Figure 3 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of this application;

[0043] Figure 4 This is a schematic diagram of the network topology of the environmental safety simulation module in this application;

[0044] Figure 5 This is a flowchart illustrating the second embodiment of the hazard warning method for the oil storage device of this application.

[0045] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0046] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0047] This application provides a hazard warning method for an oil storage device. In the first embodiment of the hazard warning method for an oil storage device, refer to... Figure 1 The hazard warning method for the oil storage device includes:

[0048] Step S10: Obtain monitoring data and, based on the monitoring data, determine the detection data of various environmental factors inside the oil storage device;

[0049] Step S20: Based on the detection data, determine the simulation data that causes the oil storage device to alarm;

[0050] Step S30: Based on the simulation data, adjust the alarm coefficients of various environmental factors to provide different early warnings for different environmental factors based on the alarm coefficients.

[0051] This embodiment aims to update the alarm coefficient based on changes in the damage value of the oil storage device, thereby improving the real-time performance of the alarm coefficient, reducing the error of the judgment coefficient, and thus improving the accuracy of monitoring the oil storage device.

[0052] In this embodiment, it should be noted that the hazard warning method for the oil storage device can be applied to the hazard warning device of the oil storage device. The hazard warning device of the oil storage device is subordinate to the hazard warning equipment of the oil storage device, and the hazard warning equipment of the oil storage device is part of the hazard warning system of the oil storage device.

[0053] Reference Figure 2 It should be noted that the hazard warning system of the oil storage device includes the oil storage device, a central controller, and an execution module. The central controller is used to receive monitoring data from the oil storage device; it is also used to process the monitoring data to obtain detection data that has a significant impact on the internal circulation of the oil storage device; it is also used to perform damage simulation on the oil storage device to obtain the damage value of the oil storage device and update the alarm coefficient based on the damage value; it is also used to monitor and judge the detection data and the alarm coefficient to determine whether the oil storage device has triggered an alarm at the current time or at a preset time point, obtain control commands, and send the control commands to the execution module through the command transmission module.

[0054] Among them, the damage value can be the value when the oil storage device is about to be damaged but is not damaged. This value can be the pressure value, temperature value, liquid level value, etc., that is, pressure damage value, temperature damage value, liquid level damage value, etc.

[0055] The oil storage device can be an oil storage tank, an oil tanker, or something similar; there are no specific limitations.

[0056] Among them, environmental factors can be the pressure environment inside the oil storage device, the oxygen content inside the oil storage device, or the temperature environment inside the oil storage device, etc., and there are no specific limitations.

[0057] It should be noted that the oxygen content in the oil storage device affects the reaction rate of the petroleum. The reaction generates heat, which eventually leads to an increase in the temperature inside the oil storage device. It also produces gas, which increases the pressure inside the oil storage device. Moreover, the density of the gas decreases as the temperature rises, and the pressure rises faster. Therefore, when detecting the oxygen content inside the oil storage device, it is sufficient to detect the pressure and temperature inside the oil storage device.

[0058] In this embodiment, the environment inside the oil storage device is adjusted based on the aforementioned hazard factors. That is, according to the hazard factors, corresponding adjustment commands are sent, and the environment inside the oil storage device is adjusted in a targeted manner through the execution module. For example, if the updated temperature alarm coefficient is 80, the detected hazard factor is temperature, and the detected temperature is 85 degrees Celsius, which is greater than the alarm coefficient, then a command to activate the cooling device is sent to the oil storage device to cool it down. If the pressure value detected inside the oil storage device is 95 Pa and the pressure alarm coefficient is 95, then a pressure relief command needs to be sent to the pressure relief valve while cooling it down, so that the oil storage device is depressurized at the same time as it is cooled down.

[0059] It should be noted that there can be one, multiple, or zero hazard factors. If there are zero hazard factors, it means that the environment inside the oil storage device is safe and will not cause damage or danger to the oil storage device.

[0060] In this embodiment, refer to Figure 2 and Figure 4 , Figure 2 This is a network topology diagram of the hazard warning system for the oil storage device in this application; Figure 4 This is a schematic diagram of the network topology of the environmental safety simulation module in this application.

[0061] The specific steps are as follows:

[0062] Step S10: Obtain monitoring data and, based on the monitoring data, determine the detection data of various environmental factors inside the oil storage device;

[0063] In this embodiment, the environment inside the oil storage device is collected by the data acquisition module in the oil storage device. The data acquisition module can collect at least one of the following: temperature data, liquid level data, pressure data, oxygen content data, etc. The data collection of different environmental factors can be carried out by a comprehensive data acquisition module or by multiple corresponding data acquisition modules to collect data by category.

[0064] Among them, the comprehensive data acquisition module can collect temperature data, liquid level data, and pressure data, etc.; corresponding types of data acquisition modules are installed in the oil storage device, including temperature data acquisition module, liquid level data acquisition module, pressure data acquisition module, and oxygen content data acquisition module, etc., to collect different data of the oil storage device environment through these different types of data acquisition modules.

[0065] In this embodiment, the data acquisition module transmits data to the central controller through the data transmission module, enabling the central controller to acquire monitoring data, filter and predict the monitoring data, and obtain the detection data corresponding to each environmental factor. By predicting the monitoring data, the changing trend and rate of change of each environmental factor within a preset time period can be obtained, so as to adjust the environment in the oil storage device in advance.

[0066] Specifically, the step of acquiring monitoring data and determining the detection data of various environmental factors inside the oil storage device based on the monitoring data includes:

[0067] Step S11: Acquire monitoring data and classify the monitoring data to obtain environmental data of different environmental factors in the oil storage device;

[0068] In this embodiment, since the acquired monitoring data is a collection of data from multiple environmental factors, and monitoring the oil storage device requires separate detection of different environmental factors, after acquiring the monitoring data, it is necessary to classify the monitoring data according to environmental factors to obtain environmental data for different environmental factors.

[0069] The step of classifying the monitoring data to obtain environmental data for different environmental factors within the oil storage device includes:

[0070] Step S111: Based on the environmental factors, classify the monitoring data to obtain environmental parameters for each environmental factor;

[0071] Step S112: Filter the environmental parameters to obtain valid data at the current time point;

[0072] Step S113: Organize and summarize the valid data to obtain environmental data of different environmental factors in the oil storage device.

[0073] The current time point is the time when the monitoring data was obtained.

[0074] It should be noted that the acquired monitoring data is data within a certain time interval. In other words, the acquired monitoring data is data within a certain time period. When inspecting the oil storage device, the latest data, that is, the data at the time of acquisition of the monitoring data, needs to be used so as to adjust the environment inside the oil storage device in a timely manner. In this embodiment, the remaining monitoring data needs to be saved in order to generate a monitoring log.

[0075] For example, if the time interval for acquiring monitoring data is preset to 10 minutes, and the latest time for acquiring monitoring data is 9:20, then the data acquired is the monitoring data from 9:10 to 9:20. It is necessary to filter out the monitoring data at 9:20 from this monitoring data.

[0076] In this embodiment, since the environmental factors within the oil storage device are constantly changing, monitoring the device requires using the latest data. This means that after classifying the monitoring data to obtain environmental parameters, valid data for the current time point is selected from these parameters. The valid data is then checked, organized, and summarized against the corresponding environmental factors to form environmental data. By filtering the monitoring data in this embodiment, it is ensured that the monitoring of the oil storage device uses the latest environmental data, improving the real-time nature of the monitoring and enabling timely adjustments to the environment within the oil storage device.

[0077] Step S12: Input the environmental data into a preset environmental prediction model, and based on the environmental prediction model, predict the changes in the environment within the oil storage device within a preset time period to obtain prediction data.

[0078] In this embodiment, the environmental prediction model includes multiple environmental prediction sub-models. Each environmental prediction sub-model corresponds to an environmental factor. By predicting changes in the environment within the oil storage device through the prediction model, the environmental changes within the oil storage device at a preset time can be obtained. This allows for advance prediction of environmental factor data within the oil storage device and adjustment of the environment within the oil storage device before the environmental factor reaches the alarm coefficient, thereby reducing the possibility of danger occurring in the oil storage device.

[0079] Step S13: Summarize the environmental data and the predicted data to obtain the detection data.

[0080] In this embodiment, since there may be errors between the predicted data and the actual data at the predicted time point, the result detected by the predicted data may be that the oil storage device will not be dangerous within a preset time period, but the result detected by the actual data obtained within the preset time period may be that the oil storage device is dangerous. Therefore, it is necessary to summarize the environmental data and the predicted data to obtain the detection data in order to improve the authenticity and confidence of the monitoring of the oil storage device.

[0081] For example, if the current time is 9:10 AM, and the predicted temperature 10 minutes later is 79.5 degrees Celsius, the pressure is 94 Pa, and the danger coefficients for temperature and pressure are 80 and 95 respectively (i.e., environmental data at 9:20 AM), then the prediction would indicate that the oil storage device would not be in danger at 9:20 AM. However, since the environment inside the oil storage device is unstable, if the temperature at 9:20 AM is 81 degrees Celsius and the pressure is 97 Pa, then in reality, the oil storage device would be in danger at 9:20 AM. To avoid prediction errors, it is necessary to use environmental data to determine the danger alarm of the oil storage device to obtain an accurate result.

[0082] In this embodiment, if the duration of the preset time period is less than the interval between two acquisitions of monitoring data, environmental data is required to determine the danger of the environment inside the oil storage device.

[0083] Step S20: Based on the detection data, determine the simulation data that causes the oil storage device to alarm;

[0084] In this embodiment, environmental factors such as temperature, pressure, and oxygen content within the oil storage device may damage the oil storage device. As the usage time increases, the degree of damage to the oil storage device also increases. In other words, the smaller the damage value of the oil storage device, the more likely it is to cause danger.

[0085] In this embodiment, an environmental safety simulation module is used to simulate the damage to the oil storage device under different environmental factors, determine the damage value that the current oil storage device can withstand, and determine the latest alarm data of the oil storage device based on the damage value and in combination with the preset safety value range. That is, the simulation data can be used to understand the service life of the oil storage device in a timely manner or to maintain the oil storage device in a timely manner.

[0086] Specifically, the step of determining the simulation data that triggers the alarm of the oil storage device based on the detection data includes:

[0087] Step S21: Based on the detection data, perform damage simulation on the oil storage device under different environmental factors to obtain the current damage value of the oil storage device;

[0088] Step S22: Based on the preset safety range and the current damage value, calculate the simulation data of the oil storage device alarm caused by different environmental factors.

[0089] The safe range is the safe value in which the environmental data will not rise to the destructive value in the original environment when the internal environment of the oil storage device is adjusted. In other words, the safe range is the maximum buffer area for the environmental data to rise when the internal environment of the oil storage device is adjusted.

[0090] In this embodiment, after obtaining the failure value, the safety range is subtracted from the failure value to obtain the simulation data, which is the updated risk factor. For example, if the obtained pressure failure value is 90 and the preset safety range is 17, then the final simulation data is 73, which means the updated risk factor is 73.

[0091] In this embodiment, since the environmental data of environmental factors first rises and then falls when the oil storage device is adjusted, by adjusting the risk factor through the preset safety threshold, it is possible to avoid the environmental data rising during the adjustment of the internal environment of the oil storage device and reaching the destructive value, thereby damaging the oil storage device and causing danger to the oil storage device.

[0092] It should be noted that as the service life of oil storage devices decreases with use, the damage threshold of the oil storage devices will also decrease. If environmental parameters are not screened and are used directly for monitoring, the simulated data that triggers an alarm in the oil storage device may be higher than the actual data that triggers an alarm in the oil storage device.

[0093] Specifically, the step of calculating simulation data of different environmental factors causing alarms in the oil storage device based on a preset safety range and the current damage value includes:

[0094] Step A10: Distinguish the safe excess value for each of the environmental factors from the preset safety thresholds;

[0095] Step A20: Based on the safe transition value and the current damage value, calculate the simulation data of each environmental factor that causes the oil storage device to alarm.

[0096] The safe transition value can be the difference between the damage value of the oil storage device and the alarm coefficient.

[0097] In this embodiment, since the degree of damage caused to the oil storage device by each environmental factor is different within a certain period of time, the safe transition value of each environmental factor is used to determine the time given to the user to improve the danger, so that the user can improve the dangerous environmental factor before the oil storage device is damaged.

[0098] Step S30: Based on the simulation data, adjust the alarm coefficients of various environmental factors to provide different early warnings for different environmental factors based on the alarm coefficients.

[0099] In this embodiment, simulation data can also be used as update data to update the preset safety factor, thereby obtaining the alarm factor. It should be noted that the safety factor can be an alarm factor, and vice versa. That is, the alarm factor is a factor that has not participated in the judgment, while the safety factor is a factor that has participated in the judgment and obtained the judgment result.

[0100] Specifically, when the oil storage device is first put into use, the preset temperature safety factor is the temperature alarm factor. That is, since the temperature safety factor is not used as a standard to compare with the temperature detection data, the temperature safety factor is the temperature alarm factor. If the temperature alarm factor is used to judge the temperature data and the judgment result is that the temperature data is lower than the temperature alarm factor, then the temperature alarm factor is used to judge the predicted temperature data to obtain the judgment result. Alternatively, if the temperature alarm factor is used to judge the temperature data and the judgment result is that the temperature data is equal to or greater than the temperature alarm factor, then the judgment result is obtained. After obtaining the judgment result, the temperature alarm factor is recorded as the temperature safety factor. When the alarm factor is updated again, the factor that is overwritten is the temperature safety factor. After the temperature safety factor is updated by the simulation data, a new alarm factor is obtained.

[0101] The safety factor can be the initial safety factor set by the user when the oil storage device is first put into use. When the environmental data is equal to or greater than the safety factor, an alarm will be triggered to adjust the environment inside the oil storage device. Alternatively, it can be the hazard factor of the oil storage device.

[0102] In this embodiment, after obtaining the simulation data, the alarm coefficient is modified and updated through the coefficient modification module, and the alarm coefficient is fed back to the judgment module for comparison and judgment of the detection data. The alarm coefficient is adjusted in a timely manner according to the changes in the damage value of the oil storage device, thereby improving the accuracy of monitoring.

[0103] In this embodiment, different early warning reminders are given for different environmental factors based on the alarm coefficient. Specifically, the alarm coefficient is used as the alarm condition for monitoring, the detection data is judged, the dangerous factors are identified, and an alarm is triggered.

[0104] The detection data includes environmental data and predictive data.

[0105] In this embodiment, the environmental data is first compared with the alarm coefficient to determine whether there is any dangerous data in the collected data. If it is determined that there is no dangerous data in the environmental data, the predicted data is compared and a judgment result is obtained. If the judgment result is that the predicted data is less than the alarm coefficient, there are no dangerous factors in the environmental factors, that is, there is no need to adjust the environment in the oil storage device. If the judgment result is that the predicted data is not less than the alarm coefficient, there are dangerous factors in the environmental factors. Based on the dangerous factors, the environment in the oil storage device is adjusted by the execution module.

[0106] In this embodiment, when a danger is detected, different alarm methods can be used to alert the user based on the different dangers. After receiving the alarm, the user can know the cause of the danger to the oil storage device based on the alarm method, thereby improving the efficiency of monitoring the oil storage device.

[0107] In this embodiment, if the environmental data is compared and determined to be equal to or greater than the hazardous data, a judgment result is obtained, that is, there are hazardous factors among the environmental factors. Based on the hazardous factors, the environment inside the oil storage device is adjusted by the execution module.

[0108] In this embodiment, when the environmental data is less than the alarm data, the predicted data is compared and judged again to know the trend of environmental data change in advance, and the environment inside the oil storage device can be adjusted in advance according to the trend of change, which can reduce the probability of danger to the oil storage device.

[0109] In this embodiment, if the environmental data is equal to or greater than the alarm coefficient, the environmental factor corresponding to the environmental data is determined to be a dangerous factor. After determining that the environmental factor corresponding to the environmental data is a dangerous factor, the judgment result can be obtained directly without comparing and judging the predicted data.

[0110] In this embodiment, the environmental data is first compared with the corresponding alarm coefficient. Then, after excluding cases where the current environmental data is equal to or greater than the alarm coefficient, the predicted data is compared with the alarm coefficient. This avoids multiple comparisons and judgments, thereby reducing the probability of danger to the oil storage device and improving the monitoring speed, which in turn improves the monitoring efficiency of the oil storage device.

[0111] In this embodiment, monitoring data of environmental factors within the oil storage device is acquired from the data acquisition device. The monitoring data is then filtered and processed by the data processing module to obtain environmental data. The safety simulation module then calculates the damage value of the oil storage device and updates the hazard coefficient in a timely manner based on the safety value range. After the environmental data is predicted by the environmental prediction submodule, predicted data for a preset time period is obtained. The updated hazard coefficient is then used to monitor and judge the environmental data and / or predicted data to identify the hazard factors and trigger an alarm.

[0112] This application provides a hazard warning method, device, equipment, and storage medium for an oil storage device. Compared with the prior art, where the judgment error of the safety performance of the oil storage device increases when the damage value of the oil storage device changes, thus reducing the accuracy of monitoring the safety performance of the oil storage device, this application acquires monitoring data and determines the detection data of various environmental factors inside the oil storage device based on the monitoring data; determines the simulation data that causes the oil storage device to alarm based on the detection data; and adjusts the alarm coefficients of various environmental factors based on the simulation data, so as to provide different early warning reminders for different environmental factors based on the alarm coefficients. In this application, monitoring data of different environmental factors within the oil storage device is obtained through acquired monitoring data. Simulation data of different environmental factors causing alarms in the oil storage device is obtained by combining destructive simulation with a preset safety range. The simulation data is then used to update the preset safety coefficient to obtain the current alarm coefficient of the oil storage device. The monitoring data and alarm coefficient are then used to determine the hazardous factors and trigger an alarm. In other words, this application allows for updating the alarm coefficient based on changes in the destructive value of the oil storage device, improving the real-time performance of the alarm coefficient, reducing the error between the alarm coefficient and the actual situation, and thus improving the accuracy of monitoring the safety performance of the oil storage device.

[0113] Furthermore, based on the above embodiments of this application, another embodiment of this application is provided, in which reference is made to... Figure 5 The step of inputting the environmental data into a preset environmental prediction model, and based on the environmental prediction model, predicting changes in the environment within the oil storage device over a preset time period to obtain prediction data, includes:

[0114] Step S01: Input the environmental data into a preset environmental prediction model. The environmental prediction model identifies the environmental data and determines the environmental factors corresponding to the environmental data.

[0115] Step S02: Based on the environmental factors, call the corresponding environmental prediction sub-model in the environmental prediction model;

[0116] Step S03: Based on the environmental preset sub-model, predict the changes in the environment within the oil storage device within a preset time period to obtain prediction data.

[0117] In this embodiment, the environmental prediction model includes multiple environmental prediction sub-models, each corresponding to a specific environmental factor. Therefore, after inputting environmental data into the preset environmental prediction model, the data needs to be identified so that the model can determine the corresponding environmental factor and match it to the appropriate environmental prediction sub-model. The sub-model can then predict changes in environmental factors within a preset timeframe and convert these changes into predicted data. In this embodiment, different environmental prediction sub-models predict different environmental factors, avoiding prediction confusion.

[0118] Among them, the identification of environmental data can be based on the units in the environmental data, and there are no specific limitations.

[0119] Furthermore, based on the above embodiments of this application, another embodiment of this application is provided. In this embodiment, before the step of inputting the environmental data into a preset environmental prediction model, the method includes:

[0120] Step B10: Obtain historical environmental data for the oil storage device;

[0121] Step B20: Analyze the influence relationships between different environmental factors from the historical data, and iteratively train the changes of each environmental factor based on the influence relationships to obtain an environmental prediction sub-model;

[0122] Step B30: Integrate the various environmental prediction sub-models to obtain the environmental prediction model.

[0123] In this embodiment, the environment inside the oil storage pipe is relatively complex. Temperature changes affect pressure changes and liquid level changes, etc. If a single environmental factor is analyzed, the correlation between various factors will not be clear. If all environmental factors are analyzed in a comprehensive manner, the impact of a single environmental factor on the environment inside the oil storage device cannot be obtained. Therefore, in this embodiment, by analyzing the influence relationship between each environmental factor and other environmental factors, the environmental prediction model of each environmental factor in the overall environment inside the oil storage device can be trained to obtain an environmental prediction model that is close to reality.

[0124] In this embodiment, the influence relationship between various environmental factors is analyzed from historical data. In the prediction, the environmental factors that need to be predicted can be placed in the overall environment within the oil storage device for prediction, which improves the accuracy of the prediction and reduces the error in the prediction.

[0125] Reference Figure 3 , Figure 3 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiments of this application.

[0126] like Figure 3 As shown, the hazard warning device of the oil storage device may include: a processor 1001, such as a CPU, a memory 1005, and a communication bus 1002. The communication bus 1002 is used to establish communication between the processor 1001 and the memory 1005. The memory 1005 may be a high-speed RAM or a stable, non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0127] Optionally, the hazard warning device of the oil storage unit may also include a rectangular user interface, a network interface, a camera, RF (Radio Frequency) circuitry, sensors, audio circuitry, a WiFi module, etc. The rectangular user interface may include a display screen and an input submodule such as a keyboard; optionally, the rectangular user interface may also include a standard wired interface or a wireless interface. The network interface may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0128] Those skilled in the art will understand that Figure 3 The structure of the hazard warning device for the oil storage device shown does not constitute a limitation on the hazard warning device for the oil storage device. It may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0129] like Figure 3 As shown, the memory 1005, serving as a storage medium, may include an operating system, a network communication module, and a hazard warning program for the oil storage device. The operating system is a program that manages and controls the hardware and software resources of the hazard warning equipment of the oil storage device, supporting the operation of the hazard warning program and other software and / or programs. The network communication module is used to enable communication between the various components within the memory 1005, as well as communication with the hazard warning method, device, equipment, and other hardware and software in the storage medium of the oil storage device.

[0130] exist Figure 3 In the illustrated hazard warning device for the oil storage device, the processor 1001 is used to execute the hazard warning program for the oil storage device stored in the memory 1005, and to implement the steps of the hazard warning method for the oil storage device described in any of the above claims.

[0131] The specific implementation method of the hazard warning device for the oil storage device in this application is basically the same as the various embodiments of the hazard warning method for the oil storage device described above, and will not be repeated here.

[0132] This application also provides a hazard warning device for an oil storage device, the hazard warning device for the oil storage device comprising:

[0133] The data processing module is used to acquire monitoring data and, based on the monitoring data, determine the detection data of various environmental factors inside the oil storage device.

[0134] The simulation module is used to determine the simulation data that would trigger an alarm in the oil storage device based on the detection data.

[0135] The update module is used to update the preset safety factor using the simulation data as update data to obtain the alarm factor;

[0136] The judgment module is used to adjust the alarm coefficients of various environmental factors based on the simulation data, so as to provide different early warning reminders for different environmental factors based on the alarm coefficients.

[0137] Optionally, the data processing module includes:

[0138] The classification module is used to acquire monitoring data and classify the monitoring data to obtain environmental data of different environmental factors in the oil storage device.

[0139] The prediction module is used to input the environmental data into a preset environmental prediction model, and based on the environmental prediction model, to predict the changes in the environment within the oil storage device within a preset time period to obtain prediction data.

[0140] The aggregation module is used to aggregate the environmental data and the predicted data to obtain the detection data.

[0141] Optionally, the classification module includes:

[0142] The classification submodule is used to classify the monitoring data based on the environmental factors to obtain environmental parameters for each environmental factor.

[0143] The filtering module is used to filter the environmental parameters to obtain valid data at the current time point;

[0144] The data processing module is used to process and summarize the valid data to obtain environmental data of different environmental factors within the oil storage device.

[0145] Optionally, the prediction module includes:

[0146] The identification module is used to input the environmental data into a preset environmental prediction model, wherein the environmental prediction model identifies the environmental data and determines the environmental factors corresponding to the environmental data.

[0147] The calling module is used to call the corresponding environmental prediction sub-model in the environmental prediction model based on the environmental factors.

[0148] The prediction submodule is used to predict the changes in the environment within the oil storage device within a preset time period based on the preset environmental submodel, and obtain prediction data.

[0149] Optionally, the hazard warning device of the oil storage device further includes:

[0150] The acquisition module is used to acquire historical environmental data of the oil storage device;

[0151] The training module is used to analyze the influence relationship between different environmental factors from the historical data, and to iteratively train the changes of each environmental factor based on the influence relationship to obtain an environmental prediction sub-model.

[0152] The integration submodule is used to integrate multiple environmental prediction sub-models to obtain an environmental prediction model.

[0153] Optionally, the simulation module includes:

[0154] The simulation submodule is used to simulate the damage of the oil storage device to different environmental factors based on the detection data, and to obtain the current damage value of the oil storage device.

[0155] The calculation module is used to calculate simulation data of the oil storage device alarm caused by different environmental factors based on the preset safety range and the current damage value.

[0156] Optionally, the computing module includes:

[0157] The differentiation module is used to distinguish the safe excess value for each of the environmental factors from a preset safety threshold.

[0158] The calculation submodule is used to calculate simulation data for each of the environmental factors that would cause an alarm in the oil storage device, based on the safe transition value and the current damage value.

[0159] The specific implementation method of the hazard warning device for the oil storage device in this application is basically the same as the various embodiments of the hazard warning method for the oil storage device described above, and will not be repeated here.

[0160] This application provides a storage medium that stores one or more programs, which can be executed by one or more processors to implement the steps of the danger warning method for the oil storage device described in any of the above claims.

[0161] The specific implementation of the storage medium in this application is basically the same as the various embodiments of the danger warning method for the oil storage device described above, and will not be repeated here.

[0162] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0163] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0164] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0165] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for early warning of danger in an oil storage device, characterized in that, The hazard warning method for the oil storage device includes: Acquire monitoring data, and based on the monitoring data, determine the detection data of various environmental factors inside the oil storage device; Based on the detection data, damage simulations of the oil storage device under different environmental factors are performed to obtain the current damage value of the oil storage device; Based on the preset safety range and the current damage value, simulation data of the oil storage device alarm caused by different environmental factors are calculated. Based on the simulation data, the alarm coefficients of various environmental factors are adjusted to provide different early warnings for different environmental factors based on the alarm coefficients.

2. The hazard warning method for an oil storage device as described in claim 1, characterized in that, The steps of acquiring monitoring data and determining the detection data of various environmental factors inside the oil storage device based on the monitoring data include: Acquire monitoring data and classify the monitoring data to obtain environmental data of different environmental factors within the oil storage device; The environmental data is input into a preset environmental prediction model. Based on the environmental prediction model, the changes in the environment within the oil storage device within a preset time period are predicted to obtain prediction data. The environmental data and the predicted data are combined to obtain the detection data.

3. The hazard warning method for an oil storage device as described in claim 2, characterized in that, The step of classifying the monitoring data to obtain environmental data for different environmental factors within the oil storage device includes: Based on the aforementioned environmental factors, the monitored data are classified to obtain environmental parameters for each environmental factor. The environmental parameters are filtered to obtain valid data for the current time point; The valid data are organized and summarized to obtain environmental data for different environmental factors within the oil storage device.

4. The hazard warning method for an oil storage device as described in claim 2, characterized in that, The step of inputting the environmental data into a preset environmental prediction model, and based on the environmental prediction model, predicting changes in the environment within the oil storage device over a preset time period to obtain prediction data includes: The environmental data is input into a preset environmental prediction model, which identifies the environmental data and determines the environmental factors corresponding to the environmental data. Based on the aforementioned environmental factors, the corresponding environmental prediction sub-model in the environmental prediction model is invoked; Based on the aforementioned environmental preset sub-model, the changes in the environment within the oil storage device are predicted over a preset time period to obtain prediction data.

5. The hazard warning method for an oil storage device as described in claim 2, characterized in that, Before the step of inputting the environmental data into the preset environmental prediction model, the method includes: Obtain historical environmental data for the oil storage device; The influence relationships between different environmental factors are analyzed from the historical data, and based on the influence relationships, the changes of each environmental factor are iteratively trained to obtain an environmental prediction sub-model. By integrating multiple environmental prediction sub-models, an environmental prediction model is obtained.

6. The hazard warning method for an oil storage device as described in claim 1, characterized in that, The step of calculating simulation data of different environmental factors causing alarms in the oil storage device based on a preset safety range and the current damage value includes: From the preset safety threshold, distinguish the safe excess value for each of the environmental factors; Based on the safe transition value and the current damage value, simulation data is calculated to determine the alarm effect of the oil storage device caused by each of the environmental factors.

7. A hazard warning device for an oil storage device, characterized in that, The hazard warning device of the oil storage device includes: The data processing module is used to acquire monitoring data and, based on the monitoring data, determine the detection data of various environmental factors inside the oil storage device. The simulation module is used to simulate the damage to the oil storage device under different environmental factors based on the detection data, and obtain the current damage value of the oil storage device; based on the preset safety range and the current damage value, it calculates the simulation data of the oil storage device alarm caused by different environmental factors. The update module is used to adjust the alarm coefficients of various environmental factors based on the simulation data, so as to provide different early warning reminders for different environmental factors based on the alarm coefficients.

8. A hazard warning device for an oil storage device, characterized in that, The hazard warning device of the oil storage device includes: a memory, a processor, and a program stored in the memory for implementing the hazard warning method of the oil storage device. The memory is used to store a program for implementing a hazard warning method for an oil storage device; The processor is configured to execute a program that implements the hazard warning method for the oil storage device, thereby implementing the steps of the hazard warning method for the oil storage device as claimed in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium stores a program for implementing a hazard warning method for an oil storage device, the program for implementing the hazard warning method for an oil storage device being executed by a processor to implement the steps of the hazard warning method for an oil storage device as claimed in any one of claims 1 to 6.

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