An intelligent pressure vessel pressure monitoring and early warning system

Abstract

The present invention relates to the field of monitoring and early warning technology, and specifically to an intelligent pressure vessel pressure monitoring and early warning system, the system comprising an environmental impact assessment module, a pressure state analysis module, a pressure trend analysis module and a risk assessment and early warning module. The present invention automatically adjusts the early warning threshold by analyzing the correlation between the ambient temperature and the service life of the pressure vessel, realizes the dynamic adaptability of the early warning threshold, more accurately reflects the real condition of the pressure vessel under a specific operating environment, improves the accuracy and timeliness of the safety early warning, and uses the calculation of the pressure state deviation index and the deviation state level to more accurately determine the safety state of the pressure vessel, and conduct a more targeted assessment of potential risks. By continuously analyzing the pressure change rate, it is possible to identify abnormal pressure change trends, and in combination with the service life of the pressure vessel, the overall abnormal risk is assessed and the corresponding early warning level is formulated, thereby reducing the potential risk of safety accidents.

Description

Technical Field

[0001] The present invention relates to the field of monitoring and early warning technology, and in particular to an intelligent pressure vessel pressure monitoring and early warning system. Background Art

[0002] The field of monitoring and early warning technology focuses on automatically identifying, evaluating and responding to potential safety hazards or failure risks through detection equipment and systems. The technology is widely used in many fields such as industry, environmental monitoring, infrastructure safety, transportation and public safety. The core functions include real-time data collection, data analysis and processing, risk assessment, and issuing early warning signals when abnormal conditions are detected. By integrating sensor networks, data processing software and communication technologies, monitoring and early warning technology can improve response speed and preventive maintenance, thereby improving the overall safety and reliability of the system.

[0003] Among them, the intelligent pressure vessel pressure monitoring and early warning system is a technical system specially designed to monitor and manage the internal pressure of various pressure vessels. The system monitors the internal pressure in real time through the pressure sensor installed on the container, and analyzes and processes the data to evaluate whether the pressure is within the safe range. Once it detects that the pressure exceeds the preset safety threshold, the system will automatically issue an early warning to notify the operator or automatically initiate safety measures such as pressure release or system shutdown to prevent accidents caused by excessive pressure and ensure the safety of equipment and personnel.

[0004] Traditional pressure monitoring and early warning systems rely on static early warning thresholds and simple pressure comparisons, lacking comprehensive consideration of environmental factors and container usage history. In a changing operating environment, they cannot accurately reflect the actual safety status, resulting in the early warning system's response being insensitive or too frequent false alarms. For example, under extreme temperature conditions, traditional systems may not be able to correctly assess changes in pressure data, thereby delaying the issuance of necessary early warning signals and increasing the risk of safety accidents. Traditional systems do not consider the rate of pressure change, but only focus on whether the pressure exceeds the preset threshold. This single data comparison method ignores the importance of pressure change trends, leading to the neglect of potential dangers and failing to effectively prevent accidents caused by sudden changes in pressure. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an intelligent pressure vessel pressure monitoring and early warning system.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an intelligent pressure vessel pressure monitoring and early warning system, the system comprising:

[0007] The environmental impact assessment module analyzes the impact of ambient temperature on the state of the pressure vessel based on the historical use data of the pressure vessel. According to the current ambient temperature of the pressure vessel and the service life of the pressure vessel, the early warning threshold of the pressure vessel is adjusted to obtain the dynamic alarm threshold.

[0008] The pressure state analysis module obtains the real-time pressure data of the pressure vessel based on the dynamic alarm threshold, compares the real-time pressure data with the dynamic alarm threshold, and if the pressure data exceeds the dynamic alarm threshold, calculates the pressure state deviation index, evaluates the current state of the pressure vessel, and obtains the deviation state level;

[0009] The pressure trend analysis module analyzes the pressure change of the pressure vessel based on the pressure data within a period of time, identifies the pressure change rate, compares the pressure change rate with the preset abnormal rate threshold, determines whether the pressure change rate is abnormal, identifies and marks the abnormal trend of the pressure change, and obtains abnormal trend information;

[0010] The risk assessment and early warning module evaluates the overall abnormal risk status of the container based on the deviation status level and abnormal trend information, combined with the service life of the pressure vessel, obtains the overall abnormal risk status index, evaluates the risk early warning level, implements matching early warning measures, and obtains risk response information.

[0011] The present invention is improved in that the method for analyzing the influence of ambient temperature on the state of the pressure vessel is:

[0012] Based on the historical usage data of pressure vessels, the ambient temperature data and the stability index of pressure vessels are extracted to obtain the environmental impact data set;

[0013] Based on the environmental impact data set, the formula:

[0014]

[0015] Calculate the influence coefficient , evaluate the effect of ambient temperature on the stability of pressure vessels;

[0016] in, is the influence coefficient of ambient temperature on the stability of pressure vessel, Representative The temperature value of the data point, Representative The stability index corresponding to the data point is and are the average temperature and average stability index, It is The time decay factor for each data point, is the total number of data points.

[0017] The present invention is improved in that the step of obtaining the dynamic alarm threshold is:

[0018] Based on the historical use data of the pressure vessel, the service life data of the pressure vessel is extracted, and the current ambient temperature of the pressure vessel is collected to obtain the ambient temperature and service life data;

[0019] Based on the influence coefficient And ambient temperature and age data, through the formula:

[0020]

[0021] Calculate the adjusted warning threshold to obtain the dynamic alarm threshold;

[0022] in, is the adjusted warning threshold, is the baseline warning threshold, is the influence coefficient, is the current ambient temperature, is the reference ambient temperature, is the age effect coefficient, Is the age of the equipment.

[0023] The present invention is improved in that the method for calculating the pressure state deviation index is:

[0024] Through the pressure sensor, the current pressure value of the pressure vessel is monitored in real time to obtain real-time pressure data;

[0025] Based on the real-time pressure data and the dynamic alarm threshold, the real-time pressure data is compared with the dynamic alarm threshold. If the pressure data exceeds the dynamic alarm threshold, the formula:

[0026]

[0027] Calculate the pressure state deviation index ;

[0028] in, is the adjustment factor, is the real-time pressure value, is the adjusted warning threshold, is the cushioning coefficient, is the adjustment index, It is the pressure state deviation indicator.

[0029] The present invention is improved in that the step of obtaining the deviation state level is:

[0030] Based on the pressure state deviation index , through the formula:

[0031]

[0032] Calculate the deviation level value :

[0033] in, is a deviation indicator of the stress state, is a constant, is the normalization constant, is the exponential coefficient, is the deviation level value;

[0034] Based on the deviation level value , compare the deviation level value with the preset deviation level, determine the current deviation level, and obtain the deviation status level.

[0035] The present invention is improved in that the step of obtaining the abnormal trend information is:

[0036] Based on the operating status of the pressure vessel, pressure data within a period of time is collected, and the data includes a timestamp and the corresponding pressure value;

[0037] Based on the pressure data during the period, the formula:

[0038]

[0039] Calculate the rate of change of pressure , and the pressure change rate Compare with the preset abnormal rate threshold to determine whether the pressure change rate is abnormal, identify and mark the abnormal trend of pressure change, and obtain abnormal trend information;

[0040] in, It is The pressure value at each time point is obtained directly from the monitoring system. It is The pressure value at a time point, is the time interval between two measurements, is the weight coefficient, is the exponential coefficient, is the offset, It is The rate of change of pressure at a time point.

[0041] The present invention is improved in that the steps of obtaining the overall abnormal risk status indicator are:

[0042] Based on the deviation status level and abnormal trend information, extract the deviation level value and the rate of pressure change , and obtain the service life of the pressure vessel ;

[0043] Based on the deviation level value , Pressure change rate and service life , through the formula:

[0044]

[0045] Calculate the overall abnormal risk status index of the pressure vessel :

[0046] in, is the deviation level value, is the pressure change rate, The service life of the equipment, , and is the weight coefficient, is the adjustment parameter of the age index, It is an indicator of the overall abnormal risk status of the pressure vessel.

[0047] The present invention is improved in that the step of obtaining the risk response information is:

[0048] Based on the overall abnormal risk status index of the pressure vessel , through the formula:

[0049]

[0050] Calculate the risk warning level value ;

[0051] in, is the stability constant, is the adjustment constant, is the nonlinear adjustment parameter, is the exponential coefficient, is the risk warning level value, It is the overall abnormal risk status indicator of the pressure vessel. is the influence adjustment factor;

[0052] According to the risk warning level value The size of the value is used to implement matching risk warnings and obtain risk response information.

[0053] Compared with the prior art, the advantages and positive effects of the present invention are:

[0054] In the present invention, by analyzing the correlation between the ambient temperature and the service life of the pressure vessel, the warning threshold is automatically adjusted, and the dynamic adaptability of the warning threshold is achieved, which more accurately reflects the actual condition of the pressure vessel under a specific operating environment, improves the accuracy and timeliness of the safety warning, and utilizes the calculation of the pressure state deviation index and the deviation state level to more accurately determine the safety state of the pressure vessel and conduct a more targeted assessment of potential risks. By continuously analyzing the pressure change rate, abnormal pressure change trends can be identified, and combined with the service life of the pressure vessel, the overall abnormal risk is assessed and the corresponding warning level is formulated, thereby achieving refined management of risk response and reducing the risk of potential safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 is a system flow chart of the present invention;

[0056] Figure 2 A flow chart for analyzing the influence of ambient temperature on the state of a pressure vessel according to the present invention;

[0057] Figure 3 A flow chart for obtaining a dynamic alarm threshold value for the present invention;

[0058] Figure 4 A flow chart for calculating a pressure state deviation index according to the present invention;

[0059] Figure 5 A flow chart for obtaining a deviation status level for the present invention;

[0060] Figure 6 A flow chart for obtaining abnormal trend information of the present invention;

[0061] Figure 7 A flow chart for obtaining an overall abnormal risk status indicator for the present invention;

[0062] Figure 8 A flow chart of obtaining risk response information for the present invention. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0064] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. Example

[0065] See also Figure 1 The present invention provides a technical solution: an intelligent pressure vessel pressure monitoring and early warning system, the system comprising:

[0066] The environmental impact assessment module analyzes the impact of ambient temperature on the state of the pressure vessel based on the historical use data of the pressure vessel. According to the current ambient temperature of the pressure vessel and the service life of the pressure vessel, the early warning threshold of the pressure vessel is adjusted to obtain the dynamic alarm threshold.

[0067] The pressure state analysis module obtains the real-time pressure data of the pressure vessel based on the dynamic alarm threshold, compares the real-time pressure data with the dynamic alarm threshold, and calculates the pressure state deviation index if the pressure data exceeds the dynamic alarm threshold, evaluates the current state of the pressure vessel, and obtains the deviation state level;

[0068] The pressure trend analysis module analyzes the pressure change of the pressure vessel based on the pressure data within a period of time, identifies the pressure change rate, compares the pressure change rate with the preset abnormal rate threshold, determines whether the pressure change rate is abnormal, identifies and marks the abnormal trend of the pressure change, and obtains abnormal trend information;

[0069] The risk assessment and early warning module evaluates the overall abnormal risk status of the pressure vessel based on the deviation status level and abnormal trend information, combined with the service life of the pressure vessel, obtains the overall abnormal risk status index, and evaluates the risk early warning level, implements matching early warning measures, and obtains risk response information;

[0070] The dynamic alarm thresholds include the adjusted upper pressure limit, lower pressure limit and pressure fluctuation safety range; the deviation status levels include normal operating range, warning status and dangerous status; the abnormal trend information includes pressure rising trend information, pressure falling trend information and pressure fluctuation abnormal information; the risk response information includes the start of the pressure relief program, emergency shutdown operation and safety alarm activation.

[0071] See also Figure 2 , the method for analyzing the influence of ambient temperature on the state of pressure vessels is:

[0072] Based on the historical usage data of pressure vessels, the ambient temperature data and the stability index of pressure vessels are extracted to obtain the environmental impact data set;

[0073] Based on the environmental impact data set, the formula is:

[0074]

[0075] Calculate the influence coefficient , evaluate the effect of ambient temperature on the stability of pressure vessels;

[0076] in, is the influence coefficient of ambient temperature on the stability of pressure vessel, Representative The temperature value of the data point, Representative The stability index corresponding to the data point is and are the average temperature and average stability index, It is The time decay factor for each data point, is the total number of data points.

[0077] formula:

[0078]

[0079] Parameter details and how to obtain them:

[0080] : No. The temperature value of each data point is directly obtained from the environmental monitoring system of the pressure vessel's historical usage records.

[0081] : No. The stability index corresponding to each data point is usually obtained through sensor data of the pressure vessel and reflects the response or performance of the vessel at a given temperature.

[0082] : Time decay factor, taking into account the timeliness of the data. The parameter is based on , calculated using an exponential decay model that includes the decay rate and the current time ,Right now ,in, is the time decay rate, is the current time, is the time of the data point, is the base of natural logarithms;

[0083] and : are the average temperature and average stability index, respectively, expressed as and ;

[0084] : Time decay rate, a pre-set parameter, usually determined based on experimental data or standard values ​​from previous studies.

[0085] : The current time, used to calculate each data point , obtained directly from the system's real-time clock.

[0086] Calculation example:

[0087] Assume the following data points:

[0088] temperature and stability data: , ,

[0089] The corresponding timestamp ( ): 1 day ago, 2 days ago, 3 days ago

[0090] Current time( ): 4 days

[0091] Calculate each , assuming :

[0092]

[0093]

[0094]

[0095] Calculate average temperature and average stability , considering the time decay factor:

[0096]

[0097]

[0098] Calculate the influence coefficient :

[0099] calculate , first calculate the numerator and denominator:

[0100] Molecular computing:

[0101]

[0102] Calculate each term:

[0103]

[0104]

[0105]

[0106] Total numerator =

[0107] Denominator calculation:

[0108] Calculate each term:

[0109]

[0110]

[0111]

[0112] Total denominator =

[0113] calculate :

[0114]

[0115] Calculated influence coefficient Approx. ,The results show that for every unit increase in ambient temperature, the corresponding pressure vessel's stability index will decrease by an average of about 0.585. This negative value indicates that the increase in temperature has a negative impact on the stability of the pressure vessel, that is, the increase in temperature may reduce the pressure bearing capacity of the vessel.

[0116] See also Figure 3 , the steps to obtain the dynamic alarm threshold are:

[0117] Based on the historical use data of the pressure vessel, the service life data of the pressure vessel is extracted, and the current ambient temperature of the pressure vessel is collected to obtain the ambient temperature and service life data;

[0118] Based on the influence coefficient And ambient temperature and age data, through the formula:

[0119]

[0120] Calculate the adjusted warning threshold to obtain the dynamic alarm threshold;

[0121] in, is the adjusted warning threshold, is the baseline warning threshold, is the influence coefficient, is the current ambient temperature, is the reference ambient temperature, is the age effect coefficient, Is the age of the equipment.

[0122] formula:

[0123]

[0124] Parameter details and how to obtain them:

[0125] :The baseline warning threshold is the initial warning threshold set, usually determined based on the design specifications and historical safety data of the pressure vessel. It represents the minimum stability standard for the pressure vessel to be considered safe under standard operating conditions.

[0126] : The influence coefficient of ambient temperature on stability, calculated through the previous steps.

[0127] : Current ambient temperature, obtained directly from the real-time monitoring equipment at the pressure vessel location.

[0128] : Reference ambient temperature refers to the long-term average value of the ambient temperature considered when designing the threshold, usually calculated from past historical data.

[0129] :The impact coefficient of equipment age is an empirical coefficient used to adjust the warning threshold to reflect the impact of equipment age. The coefficient is set based on previous research or industry standards.

[0130] : Equipment service life is the number of years the equipment has been in use, directly obtained from the equipment's maintenance or service records.

[0131] Calculation example:

[0132] Assume the following data:

[0133] , , , , , Year.

[0134] Calculate the effect of temperature differences:

[0135]

[0136] Impact of age:

[0137]

[0138] Calculate the adjusted threshold:

[0139]

[0140] The calculated new warning threshold for psi, indicating that under the current ambient temperature and equipment age, the warning threshold needs to be lowered to maintain safety.

[0141] See also Figure 4 , the method for calculating the pressure state deviation index is:

[0142] Through the pressure sensor, the current pressure value of the pressure vessel is monitored in real time to obtain real-time pressure data;

[0143] Based on the real-time pressure data and the dynamic alarm threshold, the real-time pressure data is compared with the dynamic alarm threshold. If the pressure data exceeds the dynamic alarm threshold, the formula is:

[0144]

[0145] Calculate the pressure state deviation index ;

[0146] in, is the adjustment factor, is the real-time pressure value, is the adjusted warning threshold, is the cushioning coefficient, is the adjustment index, It is the pressure state deviation indicator.

[0147] formula:

[0148]

[0149] Parameter details and how to obtain them:

[0150] : Adjustment factor used to add a safety margin when calculating pressure deviation to account for possible data fluctuations or uncertainty in critical conditions. The coefficient is set based on industry standards or previous experience.

[0151] : Current real-time pressure, obtained directly from the pressure sensor connected to the pressure vessel. This reading provides the pressure status of the pressure vessel under real-time conditions.

[0152] : The adjusted warning threshold, obtained through the previous steps.

[0153] : Buffer factor, used to reduce the impact of instantaneous pressure fluctuations or abnormal readings on the final deviation calculation. This factor is usually set based on the responsiveness of the equipment and the volatility of historical data.

[0154] : Adjustment index, used to adjust the calculation of pressure deviation to provide a more sensitive response to larger deviations. The selection of parameters is based on the needs of risk assessment to improve the early warning capability of critical events.

[0155] Calculation example:

[0156] Assume the following data:

[0157] : The current pressure value read from the sensor.

[0158] : Dynamically calculated alarm threshold.

[0159] : Safety adjustment factor.

[0160] : Buffering coefficient.

[0161] : Adjustment index.

[0162] Calculate the pressure difference:

[0163]

[0164]

[0165] Calculate the adjusted pressure deviation:

[0166]

[0167] Apply adjustment factors and indices:

[0168]

[0169] Calculated pressure state deviation index About 3.165. This result indicates the degree of deviation between the current pressure and the dynamic threshold, taking into account the equipment responsiveness and possible data fluctuations. A higher deviation index indicates that the current state of the pressure vessel may be beyond the normal safety range and requires further inspection or intervention.

[0170] See also Figure 5 , the steps to obtain the deviation status level are:

[0171] Based on pressure state deviation index , through the formula:

[0172]

[0173] Calculate the deviation level value :

[0174] in, is a deviation indicator of the stress state, is a constant, is the normalization constant, is the exponential coefficient, is the deviation level value;

[0175] Based on the deviation level value , compare the deviation level value with the preset deviation level, determine the current deviation level, and obtain the deviation status level.

[0176] formula:

[0177]

[0178] Parameter details and how to obtain them:

[0179] : Pressure state deviation index, obtained through the previous steps.

[0180] : A small constant used to ensure that calculation errors are avoided when the deviation is zero.

[0181] :The constant used to calculate the standardized deviation level value. The value is selected based on the sensitivity requirements in actual operation, aiming to make the deviation level value It is sensitive to actual pressure changes, but not over-reactive to small changes.

[0182] : Index used to control the nonlinear adjustment of the deviation level value to enhance the response to large deviations, preset by experts.

[0183] Calculation example:

[0184] Assumptions: , , , .

[0185] Calculate the deviation level value :

[0186]

[0187] Calculate the root content:

[0188]

[0189] Apply normalization constant :

[0190]

[0191] Application Index :

[0192]

[0193] Calculated deviation level value It is approximately 999.4244.

[0194] The obtained deviation level value A higher value indicates that the current stress state deviation is more serious.

[0195] See also Figure 6 , the steps to obtain abnormal trend information are:

[0196] Based on the operating status of the pressure vessel, pressure data within a period of time is collected, and the data includes a timestamp and the corresponding pressure value;

[0197] Based on the pressure data over a period of time, the formula:

[0198]

[0199] Calculate the rate of change of pressure , and the pressure change rate Compare with the preset abnormal rate threshold to determine whether the pressure change rate is abnormal, identify and mark the abnormal trend of pressure change, and obtain abnormal trend information;

[0200] in, It is The pressure value at each time point is obtained directly from the monitoring system. It is The pressure value at a time point, is the time interval between two measurements, is the weight coefficient, is the exponential coefficient, is the offset, It is The rate of change of pressure at a time point.

[0201] formula:

[0202]

[0203] Parameter details and how to obtain them:

[0204] and : Continuous pressure readings, taken directly from the pressure monitoring system. is the pressure value at the i-th time point, and is the pressure value at the i+1th time point.

[0205] : This is the time interval between two consecutive measurements. It is obtained from the configuration of the pressure monitoring and is usually a fixed value, such as recording once every minute, so May be assumed to be 1 minute or a corresponding time unit.

[0206] : Main weight coefficient, used to adjust the intensity of rate calculation. The coefficient is set based on previous experimental data or engineering requirements to ensure the sensitivity and accuracy of the calculation results.

[0207] : Exponent used to introduce nonlinear aspects of the calculation, increasing the response to larger changes. This is set based on the specific needs of the system, e.g. 2 in this case to increase the sensitivity of the model to rapid changes in pressure.

[0208] : Offset, added to the rate calculation to stabilize the effects of small pressure changes, usually determined based on historical data analysis to avoid small pressure fluctuations causing unnecessary alarms.

[0209] Calculation example:

[0210] Assume the following data:

[0211] , , .

[0212] Calculate the rate of change of pressure :

[0213] Calculate the pressure difference and velocity:

[0214]

[0215] Apply the index and offset:

[0216]

[0217] Apply weight factor :

[0218]

[0219] Calculated ,This rate can be compared with a preset abnormal rate threshold to determine whether the pressure change is abnormal.

[0220] See also Figure 7 , the steps to obtain the overall abnormal risk status indicator are:

[0221] Extract the deviation level value based on the deviation status level and abnormal trend information and the rate of pressure change , and obtain the service life of the pressure vessel ;

[0222] Based on the deviation level value , Pressure change rate and service life , through the formula:

[0223]

[0224] Calculate the overall abnormal risk status index of the pressure vessel :

[0225] in, is the deviation level value, is the pressure change rate, The service life of the equipment, , and is the weight coefficient, is the adjustment parameter of the age index, It is an indicator of the overall abnormal risk status of the pressure vessel.

[0226] formula:

[0227]

[0228] Parameter details and how to obtain them:

[0229] : Deviation level value, preset by experts.

[0230] : Rate of pressure change, preset by experts.

[0231] : Equipment service life, preset by experts.

[0232] :The weight coefficient of the deviation level is set based on the standard of historical data analysis and equipment performance evaluation, which is used to emphasize the importance of the deviation level in risk assessment.

[0233] : The weighting factor for the rate of pressure change is determined based on an analysis of the historical operating data of the equipment to ensure that the contribution of pressure changes to the overall risk is appropriately considered.

[0234] : An adjustment factor for service life, used to balance the impact of equipment aging on risk assessment. This factor is estimated based on the equipment type and expected life.

[0235] :The adjustment parameter of the age index is used to introduce nonlinear effects and is preset by experts.

[0236] Calculation example:

[0237] Assumptions:

[0238] , , , is 0.5, is 1.5, is 0.4, is 0.6.

[0239] calculate :

[0240]

[0241] calculate And the logarithmic part:

[0242]

[0243]

[0244] Evaluate the overall expression:

[0245]

[0246] Calculated overall abnormal risk status indicator The value is 1.099, which means that the overall risk status of the equipment is at a medium level after considering the age of the equipment, the deviation level, and the pressure change rate.

[0247] See also Figure 8 , the steps to obtain risk response information are:

[0248] Overall abnormal risk status index based on pressure vessels , through the formula:

[0249]

[0250] Calculate the risk warning level value ;

[0251] in, is the stability constant, is the adjustment constant, is the nonlinear adjustment parameter, is the exponential coefficient, is the risk warning level value, It is the overall abnormal risk status indicator of the pressure vessel. is the influence adjustment factor;

[0252] According to the risk warning level value The size of the value is used to implement matching risk warnings and obtain risk response information.

[0253] formula:

[0254]

[0255] Parameter details and how to obtain them:

[0256] : Overall abnormal risk status indicator, obtained through the previous steps.

[0257] : Stability constant, used to ensure calculation stability and avoid Mathematical errors caused by values ​​close to zero, such as a denominator of zero.

[0258] : Influence adjustment factor, the value is based on the analysis of historical risk data and is used to enhance The influence of the risk factor makes the formula more sensitive to changes in risk.

[0259] : Adjustment constant, set according to the requirements of equipment risk assessment, used to adjust the calculation sensitivity of the risk level value.

[0260] : Nonlinear adjustment parameter, based on the understanding of the risk characteristics of the equipment and the analysis of historical data, is used to introduce nonlinear effects and make the formula more sensitive to high risk values.

[0261] : Exponential coefficient, balancing the sensitivity and stability of risk assessment and preventing overreaction.

[0262] Calculation example:

[0263] Assumptions:

[0264] , , , , , .

[0265] calculate:

[0266]

[0267] Substitute specific values ​​for calculation:

[0268] Calculation process:

[0269] Calculate the numerator part:

[0270]

[0271] Calculate the denominator:

[0272]

[0273]

[0274]

[0275]

[0276] This evaluates the entire expression:

[0277]

[0278]

[0279]

[0280] The risk warning level obtained It indicates that the current risk status of the equipment is low and risk management measures can be maintained at normal levels without the need for emergency intervention warnings.

[0281] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An intelligent pressure vessel pressure monitoring and early warning system, characterized in that: The system comprises: The environmental impact assessment module analyzes the impact of ambient temperature on the state of the pressure vessel based on the historical use data of the pressure vessel. According to the current ambient temperature of the pressure vessel and the service life of the pressure vessel, the early warning threshold of the pressure vessel is adjusted to obtain the dynamic alarm threshold. The pressure state analysis module obtains the real-time pressure data of the pressure vessel based on the dynamic alarm threshold, compares the real-time pressure data with the dynamic alarm threshold, and if the pressure data exceeds the dynamic alarm threshold, calculates the pressure state deviation index, evaluates the current state of the pressure vessel, and obtains the deviation state level; The pressure trend analysis module analyzes the pressure change of the pressure vessel based on the pressure data within a period of time, identifies the pressure change rate, compares the pressure change rate with the preset abnormal rate threshold, determines whether the pressure change rate is abnormal, identifies and marks the abnormal trend of the pressure change, and obtains abnormal trend information; The risk assessment and early warning module evaluates the overall abnormal risk status of the container based on the deviation status level and abnormal trend information, combined with the service life of the pressure vessel, obtains the overall abnormal risk status index, and evaluates the risk early warning level, implements matching early warning measures, and obtains risk response information; The method for analyzing the influence of ambient temperature on the state of the pressure vessel is: Based on the historical usage data of pressure vessels, the ambient temperature data and the stability index of pressure vessels are extracted to obtain the environmental impact data set; Based on the environmental impact data set, the formula: ； Calculate the influence coefficient , evaluate the effect of ambient temperature on the stability of pressure vessels; in, is the influence coefficient of ambient temperature on the stability of pressure vessel, Representative The temperature value of the data point, Representative The stability index corresponding to the data point is and are the average temperature and average stability index, It is The time decay factor for each data point, is the total number of data points; The steps for obtaining the dynamic alarm threshold are: Based on the historical use data of the pressure vessel, the service life data of the pressure vessel is extracted, and the current ambient temperature of the pressure vessel is collected to obtain the ambient temperature and service life data; Based on the influence coefficient And ambient temperature and age data, through the formula: ； Calculate the adjusted warning threshold to obtain the dynamic alarm threshold; in, is the adjusted warning threshold, is the baseline warning threshold, is the influence coefficient, is the current ambient temperature, is the reference ambient temperature, is the age effect coefficient, is the age of the equipment; The method for calculating the pressure state deviation index is: Through the pressure sensor, the current pressure value of the pressure vessel is monitored in real time to obtain real-time pressure data; Based on the real-time pressure data and the dynamic alarm threshold, the real-time pressure data is compared with the dynamic alarm threshold. If the pressure data exceeds the dynamic alarm threshold, the formula: ； Calculate the pressure state deviation index ; in, is the adjustment factor, is the real-time pressure value, is the adjusted warning threshold, is the cushioning coefficient, is the adjustment index, It is the pressure state deviation indicator.

2. The intelligent pressure vessel pressure monitoring and early warning system according to claim 1 is characterized in that: The steps for obtaining the deviation status level are: Based on the pressure state deviation index , through the formula: ； Calculate the deviation level value : in, is a deviation indicator of the stress state, is a constant, is the normalization constant, is the exponential coefficient, is the deviation level value; Based on the deviation level value , compare the deviation level value with the preset deviation level, determine the current deviation level, and obtain the deviation status level.

3. The intelligent pressure vessel pressure monitoring and early warning system according to claim 1 is characterized in that: The steps for obtaining the abnormal trend information are: Based on the operating status of the pressure vessel, pressure data within a period of time is collected, and the data includes a timestamp and the corresponding pressure value; Based on the pressure data during the period, the formula: ； Calculate the rate of change of pressure , and the pressure change rate Compare with the preset abnormal rate threshold to determine whether the pressure change rate is abnormal, identify and mark the abnormal trend of pressure change, and obtain abnormal trend information; in, It is The pressure value at each time point is obtained directly from the monitoring system. It is The pressure value at a time point, is the time interval between two measurements, is the weight coefficient, is the exponential coefficient, is the offset, It is The rate of change of pressure at a time point.

4. The intelligent pressure vessel pressure monitoring and early warning system according to claim 2 is characterized in that: The steps for obtaining the overall abnormal risk status indicator are: Based on the deviation status level and abnormal trend information, extract the deviation level value and the rate of pressure change , and obtain the service life of the pressure vessel ; Based on the deviation level value , Pressure change rate and service life , through the formula: ； Calculate the overall abnormal risk status index of the pressure vessel : in, is the deviation level value, is the pressure change rate, The service life of the equipment, , and is the weight coefficient, is the adjustment parameter of the age index, It is an indicator of the overall abnormal risk status of the pressure vessel.

5. The intelligent pressure vessel pressure monitoring and early warning system according to claim 4 is characterized in that: The steps for obtaining the risk response information are: Based on the overall abnormal risk status index of the pressure vessel , through the formula: ； Calculate the risk warning level value ; in, is the stability constant, is the adjustment constant, is the nonlinear adjustment parameter, is the exponential coefficient, is the risk warning level value, It is the overall abnormal risk status indicator of the pressure vessel. is the influence adjustment factor; According to the risk warning level value The size of the value is used to implement matching risk warnings and obtain risk response information.

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