User stability control method for outdoor compressed air

Abstract

The invention provides a user stability control method for outdoor compressed air, and belongs to the technical field of industrial control, and the method comprises the steps: 1, monitoring the dew point temperature in a compressed air pipeline, environment data and the pressure in the pipeline based on a preset monitoring device; 2, analyzing the dew-point temperature monitoring data to determine a predicted dew-point temperature, and determining a comprehensive dew-point temperature in combination with the real-time dew-point temperature; 3, determining an initial condensation risk grade based on the comprehensive dew point temperature and the environment temperature, and then determining a current condensation risk grade; and step 4, determining a current early warning result based on the current condensation risk level and a preset early warning mechanism, and performing corresponding processing based on the current early warning result. The dew point in the outdoor compressed air pipeline is always below a safety value, and it is guaranteed that the compressed air pipeline cannot be frozen due to dew condensation. And safe stability control of the unit is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of industrial control, and in particular to a user stability control method for outdoor compressed air. Background Art

[0002] In industrial production, especially in areas involving air compression and control, it is crucial to ensure the stability and safety of the compressed air system.

[0003] Currently, the focus is mainly on traditional environmental monitoring and early warning systems, lacking a comprehensive assessment and real-time early warning mechanism for condensation risks in compressed air systems.

[0004] However, the warning mechanism of existing technologies is not accurate enough or the response speed is not fast enough, resulting in the failure to take effective measures in time to prevent potential damage when the risk of condensation occurs. Frequent fluctuations in environmental conditions and unstable pipeline pressure can lead to frequent condensation, which in turn affects the stable operation of the system.

[0005] Therefore, the present invention proposes a user stability control method for outdoor compressed air. Summary of the invention

[0006] The present invention provides a user stability control method for outdoor compressed air, which is used to monitor the dew point temperature and environmental pressure in the pipeline in real time through multiple monitoring devices, effectively capture the fluctuation of environmental conditions, and combine data analysis and prediction models to accurately evaluate the risk of condensation and timely warn, and timely detect condensation under changes in environmental and system parameters, ensure the stability control of the system under fluctuating conditions, make the dew point in the outdoor compressed air pipeline always below the safe value, and ensure that the compressed air pipeline will not be frozen due to condensation. Ensure the safety and stability control of the unit.

[0007] The present invention provides a user stability control method for outdoor compressed air, comprising:

[0008] Step 1: monitor the dew point temperature in the compressed air pipeline based on the first preset monitoring device, and monitor the environmental data and the pressure in the pipeline based on the second preset monitoring device;

[0009] Step 2: Analyze the dew point temperature monitoring data to determine the predicted dew point temperature, and determine the comprehensive dew point temperature in combination with the real-time dew point temperature;

[0010] Step 3: Determine the initial condensation risk level based on the comprehensive dew point temperature and the ambient temperature, and determine the current condensation risk level in combination with the monitoring data of the second preset monitoring device;

[0011] Step 4: Determine the current warning result based on the current condensation risk level and the preset warning mechanism, and perform corresponding processing based on the current warning result.

[0012] The present invention provides a user stability control method for outdoor compressed air.

[0013] The first preset monitoring device is a capacitive dew point sensor;

[0014] The second preset monitoring device is an environmental humidity sensor, an environmental temperature sensor and a pipeline pressure sensor.

[0015] The present invention provides a user stability control method for outdoor compressed air, which analyzes dew point temperature monitoring data to determine the predicted dew point temperature, and determines the comprehensive dew point temperature in combination with the real-time dew point temperature, including:

[0016] Building a prediction model based on the dew point temperature monitoring data obtained by the first preset monitoring device, and then determining the predicted dew point temperature;

[0017] Determine the comprehensive dew point temperature based on the real-time dew point temperature and the predicted dew point temperature:

[0018]

[0019]

[0020] in, is the comprehensive dew point temperature at time t, CI pred (t) is the confidence interval width of the predicted dew point temperature at time t, n is the number of real-time dew point data up to time t, E real (t) is the real-time dew point temperature error at the tth moment, u real is the central position of the real-time dew point data, σ real For all E real The standard deviation of (t), u pred is the time when the center of the dew point data is predicted, σ pred For all T pred,t The standard deviation of is the weight of the predicted dew point temperature at time t, is the weight of the real-time dew point temperature at the tth moment, T real,t is the real-time dew point temperature at time t, T pred,t is the predicted dew point temperature at time t, m is the number of predicted dew point data before the cutoff time, S multi (t) is the preset scale adjustment function, γ is the weight of external influencing factors, F(t) is the preset external influencing factor function, is the balance weight of the real-time dew point data at time t, is the balance weight of the predicted dew point data at time t.

[0021] The present invention provides a user stability control method for outdoor compressed air, which determines the initial condensation risk level based on the comprehensive dew point temperature and the ambient temperature, comprising:

[0022] Determine the comprehensive condensation risk value based on the comprehensive dew point temperature and ambient temperature:

[0023]

[0024]

[0025] Among them, J(α,β,θ,δ) is the condensation risk weight determination function, is the predicted value of condensation risk at time t, The preset ideal value of condensation risk at time t, is the comprehensive dew point temperature at the tth moment, C1 is the comprehensive condensation risk value at the tth moment, is the ambient temperature at the tth moment, k is the number of moments before the cutoff moment, α is the initial impact weight of condensation risk humidity at the tth moment, β is the initial impact weight of condensation risk temperature difference at the tth moment, θ is the initial impact weight of condensation risk nonlinearity at the tth moment, δ is the initial adjustment weight of condensation risk nonlinearity at the tth moment, and the weights are optimized based on J(α, β, θ, δ) and the preset algorithm to obtain α1, β1, θ1 and δ1, α1 is the optimized impact weight of condensation risk humidity at the tth moment, β1 is the optimized impact weight of condensation risk temperature difference at the tth moment, θ1 is the optimized impact weight of condensation risk nonlinearity at the tth moment, and δ1 is the optimized adjustment weight of condensation risk nonlinearity at the tth moment;

[0026] Determine the initial condensation risk level based on the comprehensive condensation risk value:

[0027] Among them, the initial condensation risk level is divided into level 1, level 2, level 3, level C th To preset the upper limit of the initial exposure risk threshold, C th1 R is the preset lower limit of the initial exposure risk threshold. in is the current initial condensation risk level, and C0 is the current comprehensive condensation risk value.

[0028] The present invention provides a user stability control method for outdoor compressed air. The monitoring data of the second preset monitoring device include: ambient humidity, ambient temperature, pipeline pressure and pipeline end surface temperature.

[0029] The present invention provides a user stability control method for outdoor compressed air, which determines the current condensation risk level in combination with monitoring data of a second preset monitoring device, including:

[0030] Determine the condensation risk level based on the monitoring data of the second preset monitoring device and the initial condensation risk level:

[0031] Among them, R c is the current condensation risk level, RH is the current ambient humidity, T e is the current ambient temperature, p is the current pipeline pressure, p r is the preset pipeline pressure reference value, T s is the current surface temperature at the end of the pipe, R in is the initial condensation risk level, C2 0 is the preset condensation risk threshold, k 1 is the comprehensive weight of the monitoring data of the second preset monitoring device, k 2 is the weight corresponding to the pipeline pressure, k 3 is the weight corresponding to the ambient humidity, and a and b are preset constants with fixed values.

[0032] The present invention provides a user stability control method for outdoor compressed air, which determines a current warning result based on a current condensation risk level and a preset warning mechanism, and performs corresponding processing based on the current warning result, including:

[0033] Determine the triggering conditions for each warning level based on the preset warning mechanism;

[0034] Determine the current warning level based on the triggering conditions of each warning level and the current condensation risk level;

[0035] Determine the warning result corresponding to the current warning level based on the preset warning level-result database;

[0036] Based on the preset warning result-measure database, determine the processing measures corresponding to the current warning result and execute them.

[0037] The present invention provides a user stability control method for outdoor compressed air, and the warning levels include: level one low risk warning, level two medium risk warning, level three high risk warning and level four emergency risk warning.

[0038] The present invention provides a user stability control method for outdoor compressed air, which is used to monitor the dew point temperature and environmental pressure in the pipeline in real time through multiple monitoring devices, effectively capture the fluctuation of environmental conditions, and combine data analysis and prediction models to accurately evaluate the risk of condensation and timely warn, and timely detect condensation under changes in environmental and system parameters, ensure the stability control of the system under fluctuating conditions, make the dew point in the outdoor compressed air pipeline always below the safe value, and ensure that the compressed air pipeline will not be frozen due to condensation. Ensure the safety and stability control of the unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 It is a flow chart of a user stability control method of outdoor compressed air provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Example 1

[0043] The present invention provides a user stability control method for outdoor compressed air, such as Figure 1 As shown, including:

[0044] Step 1: monitor the dew point temperature in the compressed air pipeline based on the first preset monitoring device, and monitor the environmental data and the pressure in the pipeline based on the second preset monitoring device;

[0045] Step 2: Analyze the dew point temperature monitoring data to determine the predicted dew point temperature, and determine the comprehensive dew point temperature in combination with the real-time dew point temperature;

[0046] Step 3: Determine the initial condensation risk level based on the comprehensive dew point temperature and the ambient temperature, and determine the current condensation risk level in combination with the monitoring data of the second preset monitoring device;

[0047] Step 4: Determine the current warning result based on the current condensation risk level and the preset warning mechanism, and perform corresponding processing based on the current warning result.

[0048] In this embodiment, the dew point temperature in the compressed air pipeline is monitored based on the first preset monitoring device, and the first preset monitoring device is installed at a key position of the pipeline, including: at the compressor outlet and before the branch pipeline, and the dew point temperature sensor is used to continuously monitor the dew point temperature in the compressed air pipeline;

[0049] In this embodiment, monitoring of the environment and the pressure in the pipeline based on the second preset monitoring device is to install the environmental monitoring device outdoors close to the compressed air system, avoiding direct contact areas with direct sunlight and precipitation, and the pressure monitoring device is installed at different key locations of the compressed air pipeline: the compressor outlet and the main branch pipelines. Temperature and humidity sensors are used to monitor the outdoor environmental conditions, and the pressure monitoring device monitors the pressure in the pipeline.

[0050] In this embodiment, the dew point temperature monitoring data is analyzed based on a preset model and historical data for training, the current real-time data is input, and the predicted dew point data is output. The preset models include: a time series model, a machine learning model, and a deep learning model;

[0051] In this embodiment, predicting the dew point temperature is to use an algorithm or model to predict the dew point temperature within a future period of time based on historical data and current dew point temperature data;

[0052] In this embodiment, the comprehensive dew point temperature is a combination of the real-time monitored dew point temperature and the predicted dew point temperature to obtain a more comprehensive dew point temperature value, reflecting the actual humidity of the system. For example, the dew point temperature sensor monitors that the current dew point temperature in the pipeline is 3°C. Through historical data and trend analysis, the system predicts that the dew point temperature may rise to 5°C in the next hour. Combining the current 3°C ​​and the predicted 5°C, the comprehensive dew point temperature is 4°C.

[0053] In this embodiment, the initial condensation risk level: based on the comprehensive dew point temperature and the ambient temperature, the risk level of condensation in the compressed air system is preliminarily assessed, including: level 1, level 2 and level 3;

[0054] In this embodiment, the condensation risk level is determined based on the initial condensation risk level and combined with data from the second preset monitoring device to further determine the final condensation risk level.

[0055] In this embodiment, the preset warning mechanism is a preset rule or condition for determining the required warning level under different condensation risk levels;

[0056] In this embodiment, the current warning result generates specific warning information based on the current condensation risk level and the preset warning mechanism;

[0057] In this embodiment, the corresponding processing is the actual operation taken based on the current warning result, such as adjusting equipment parameters, starting a backup system, or notifying maintenance personnel to conduct an inspection. For example, the preset warning mechanism stipulates that when there is a high risk of condensation, the system should issue a red alarm, adjust the operating parameters of the dryer, and notify maintenance personnel. The current system determines that the condensation risk level is high and generates a red alarm. Based on the red alarm, the system automatically adjusts the operating parameters of the dryer to increase the drying capacity, and notifies maintenance personnel to conduct on-site inspections to ensure that condensation does not occur.

[0058] The beneficial effects of the above technical solution are: through real-time monitoring of the dew point temperature and ambient pressure in the pipeline by multiple monitoring devices, combined with data analysis and prediction models, it is possible to accurately assess the risk of condensation and issue a timely warning, so that the dew point in the outdoor compressed air pipeline is always below the safe value, ensuring that the compressed air pipeline will not be frozen due to condensation, resulting in the important compressed air users being cut off due to gas failure, causing the compressed air medium-pressure users to malfunction due to air loss, and ensuring the safe and stable operation of the unit.

[0059] Example 2

[0060] The present invention provides a user stability control method for outdoor compressed air, a first preset monitoring device and a second preset monitoring device, comprising:

[0061] The first preset monitoring device is a capacitive dew point sensor;

[0062] The second preset monitoring device is an environmental humidity sensor, an environmental temperature sensor and a pipeline pressure sensor.

[0063] In this embodiment, the capacitive dew point sensor uses the principle of capacitance change to measure the moisture content in the air, accurately monitors the dew point temperature in the pipeline, and detects the moisture content in the air through capacitance change. When the humidity in the air changes, the capacitance value inside the sensor will also change, thereby calculating the dew point temperature. The capacitive dew point sensor is installed at the outlet of the compressor to monitor the dew point temperature of the compressed air in real time.

[0064] In this embodiment, the ambient humidity sensor measures the relative humidity of the outdoor environment, the ambient temperature sensor measures the outdoor ambient temperature, and provides air temperature data for assessing the risk of condensation. The pipeline pressure sensor monitors the pressure change in the compressed air pipeline to ensure the stability of the system pressure and prevent condensation. The ambient humidity sensor and the ambient temperature sensor are installed outdoors near the compressed air system, avoiding areas with direct sunlight and direct precipitation. The pipeline pressure sensor is installed at key locations of the compressed air pipeline, such as the compressor outlet, main branch pipeline, etc. The ambient humidity sensor measures the air humidity through a humidity-sensitive resistor or a humidity-sensitive capacitor element and outputs a corresponding electrical signal. The ambient temperature sensor measures the air temperature using a temperature-sensitive resistor or a thermocouple and outputs a corresponding electrical signal. The pipeline pressure sensor uses a resistance strain gauge or a piezoelectric element to measure the pressure in the pipeline and outputs a pressure signal. For example, the ambient humidity sensor and the ambient temperature sensor are installed outdoors near the compressed air system. The sensor measures that the current ambient humidity is 70% and the ambient temperature is 25°C. The pipeline pressure sensor is installed at the compressor outlet to monitor the pressure in the pipeline in real time. The current pressure is 6.5 bar.

[0065] The beneficial effect of the above technical solution is that through the first preset monitoring device and the second preset monitoring device, multi-parameter monitoring and predictive analysis can identify and prevent condensation in the system in advance, improve the stability of the compressed air system, and achieve comprehensive monitoring of the outdoor compressed air system.

[0066] Example 3

[0067] The present invention provides a user stability control method for outdoor compressed air, which analyzes dew point temperature monitoring data to determine the predicted dew point temperature, and determines the comprehensive dew point temperature in combination with the real-time dew point temperature, including:

[0068] Building a prediction model based on the dew point temperature monitoring data obtained by the first preset monitoring device, and then determining the predicted dew point temperature;

[0069] Determine the comprehensive dew point temperature based on the real-time dew point temperature and the predicted dew point temperature:

[0070] in, is the comprehensive dew point temperature at time t, CI pred (t) is the confidence interval width of the predicted dew point temperature at time t, n is the number of real-time dew point data up to time t, E real (t) is the real-time dew point temperature error at the tth moment, u real is the central position of the real-time dew point data, σ real For all E real The standard deviation of (t), u predis the time when the center of the dew point data is predicted, σ pred For all T pred，t The standard deviation of is the weight of the predicted dew point temperature at time t, is the weight of the real-time dew point temperature at the tth moment, T real，t is the real-time dew point temperature at time t, T pred，t is the predicted dew point temperature at time t, m is the number of predicted dew point data before the cutoff time, S multi (t) is the preset scale adjustment function, γ is the weight of external influencing factors, F(t) is the preset external influencing factor function, is the balance weight of the real-time dew point data at time t, is the balance weight of the predicted dew point data at time t.

[0071] In this embodiment, the prediction model is a mathematical model trained by historical dew point temperature data and is used to predict future dew point temperatures, including: a time series model, a machine learning model, and a deep learning model.

[0072] In this embodiment, the width of the confidence interval directly uses the width of the confidence interval as an indicator to measure the uncertainty of the prediction data, and its size is the difference between the upper and lower limits of the interval. For example, if the dew point temperature predicted for the next hour is 5°C and the confidence interval is [4°C, 6°C], the width of the confidence interval is 2°C;

[0073] In this embodiment, the real-time dew point temperature error is the difference between the real-time dew point temperature and the actual dew point temperature. The smaller the error, the more accurate the real-time data. For example, if the real-time monitored dew point temperature is 3°C and the actual dew point temperature is 2.5°C, the real-time dew point temperature error is 0.5°C.

[0074] In this embodiment, the center position refers to the average value or median of the data set, which is used to represent the central tendency weight of the data. The weight reaches the maximum value at the center position. For example, if the dew point temperature data monitored in real time is [2°C, 3°C, 4°C, 5°C], then its center position (average value) is 3.5°C.

[0075] In this embodiment, the preset scale adjustment function is a multi-seasonal scale adjustment function, which takes into account the seasonal effects of different time scales, including: daily seasonal scale, weekly seasonal scale, monthly seasonal scale and annual seasonal scale;

[0076] In this embodiment, external influencing factors refer to environmental conditions or operating parameters that may affect the dew point temperature, including: meteorological conditions, geographical location, season and time, and environmental pollution;

[0077] In this embodiment, the balance weight of the real-time dew point data is used to balance the importance of the real-time data and the predicted data in the comprehensive dew point temperature calculation, and is used to balance the influence of the real-time data and the predicted data in the comprehensive dew point temperature calculation. It is dynamically adjusted according to the real-time data error and the uncertainty of the predicted data. When the confidence interval width of the predicted data is small, When the error of real-time data is small, the predicted data is given a higher weight. Larger, real-time data is given higher weight.

[0078] The beneficial effects of the above technical solution are: by combining the real-time monitoring device with the prediction model, integrating the real-time dew point temperature and the predicted dew point temperature, determining the comprehensive dew point temperature, adjusting the weight based on the real-time data volume, the predicted data volume and the error, making the calculation of the comprehensive dew point temperature more accurate and dynamic, introducing the weight of external influencing factors and adjustment functions, and improving the adaptability of the system in different environments. The prediction accuracy of the comprehensive dew point temperature is significantly improved, the stability and reliability of the system are improved, and the fluctuation and uncertainty are reduced.

[0079] Example 4

[0080] The present invention provides a user stability control method for outdoor compressed air, which determines the initial condensation risk level based on the comprehensive dew point temperature and the ambient temperature, comprising:

[0081] Determine the comprehensive condensation risk value based on the comprehensive dew point temperature and ambient temperature:

[0082]

[0083]

[0084] Among them, J(α, β, θ, δ) is the condensation risk weight determination function, is the predicted value of condensation risk at time t, The preset ideal value of condensation risk at time t, is the comprehensive dew point temperature at the tth moment, C1 is the comprehensive condensation risk value at the tth moment, is the ambient temperature at the tth moment, k is the number of moments before the cutoff moment, α is the initial impact weight of condensation risk humidity at the tth moment, β is the initial impact weight of condensation risk temperature difference at the tth moment, θ is the initial impact weight of condensation risk nonlinearity at the tth moment, δ is the initial adjustment weight of condensation risk nonlinearity at the tth moment, and the weights are optimized based on J(α, β, θ, δ) and the preset algorithm to obtain α1, β1, θ1 and δ1, α1 is the optimized impact weight of condensation risk humidity at the tth moment, β1 is the optimized impact weight of condensation risk temperature difference at the tth moment, θ1 is the optimized impact weight of condensation risk nonlinearity at the tth moment, and δ1 is the optimized adjustment weight of condensation risk nonlinearity at the tth moment;

[0085] Determine the initial condensation risk level based on the comprehensive condensation risk value:

[0086] Among them, the initial condensation risk level is divided into level 1, level 2, level 3, level C th To preset the upper limit of the initial exposure risk threshold, C th1 R is the preset lower limit of the initial exposure risk threshold. in is the current initial condensation risk level, and C0 is the current comprehensive condensation risk value.

[0087] In this embodiment, the condensation risk weight determination function is a loss function of mean square error (MSE), which is used to optimize the weight, and the weight coefficient is optimized using a machine learning algorithm, and the loss function is mean square error (MSE);

[0088] In this embodiment, the preset algorithm is a gradient descent algorithm in a machine learning algorithm;

[0089] In this embodiment, the weight optimization based on J (α, β, θ, δ) and the preset algorithm is based on the derivation of the loss function with respect to each weight coefficient to obtain the gradient, and the weight coefficient is updated using the gradient descent algorithm, and the above steps are repeated until the loss function converges to a certain threshold.

[0090] In this embodiment, the initial impact weight reflects the impact of the ratio of the dew point temperature to the ambient temperature, and is usually used to represent the impact of humidity on the risk factor;

[0091] In this embodiment, the initial impact weight of the condensation risk temperature difference is a square term that takes into account the temperature difference, which is used to enhance the impact of a large temperature difference on the risk;

[0092] In this embodiment, the nonlinear initial impact weight of condensation risk is used to process nonlinear impacts, reflecting the impact of the exponential growth of the ratio of dew point temperature to ambient temperature on the risk factor.

[0093] The beneficial effects of the above technical solution are: by comprehensively considering the dew point temperature and ambient temperature and introducing a dynamic weight optimization mechanism, the accuracy of condensation risk assessment is significantly improved; through multi-factor comprehensive evaluation and dynamic weight optimization, the stability and adaptability of the system in different environments are improved, and the condensation risk is reduced; through hierarchical management of condensation risks, the response measures taken for different risk levels are more effective, thereby improving the overall operational efficiency and safety of the system.

[0094] Example 5

[0095] The present invention provides a user stability control method for outdoor compressed air. The monitoring data of the second preset monitoring device include: ambient humidity, ambient temperature, pipeline pressure and pipeline end surface temperature.

[0096] In this embodiment, the ambient humidity is monitored to understand the moisture content in the air and assess its impact on the condensation risk of the compressed air system;

[0097] In this embodiment, the difference between the ambient temperature and the dew point temperature directly affects the condensation risk, and accurate monitoring of the ambient temperature is the basis for determining the condensation risk level;

[0098] In this embodiment, the pipeline pressure affects the temperature and density of the compressed air, which in turn affects the risk of condensation. Monitoring the pipeline pressure helps to dynamically adjust the system control parameters;

[0099] In this embodiment, the temperature at the end of the pipeline directly affects the condensation of the compressed air during the transportation process. By monitoring the temperature at the end of the pipeline, the system can be adjusted in time to prevent condensation.

[0100] The beneficial effects of the above technical solution are: through comprehensive monitoring and dynamic adjustment, the stability of the compressed air system under different environmental conditions is significantly improved. The environmental humidity and temperature are effectively monitored and controlled, the risk of condensation in the pipeline is reduced, and the reliable operation of the system is ensured.

[0101] Example 6

[0102] The present invention provides a user stability control method for outdoor compressed air, which determines the current condensation risk level in combination with monitoring data of a second preset monitoring device, including:

[0103] Determine the condensation risk level based on the monitoring data of the second preset monitoring device and the initial condensation risk level:

[0104] Among them, R c is the current condensation risk level, RH is the current ambient humidity, Te is the current ambient temperature, p is the current pipeline pressure, p r is the preset pipeline pressure reference value, T sis the current surface temperature at the end of the pipe, R in is the initial condensation risk level, C2 0 is the preset condensation risk threshold, k 1 is the comprehensive weight of the monitoring data of the second preset monitoring device, k 2 is the weight corresponding to the pipeline pressure, k 3 is the weight corresponding to the ambient humidity, and a and b are preset constants with fixed values.

[0105] In this embodiment, a and b are preset constants with fixed values, and are usually set to: a=17.27, b=237.7;

[0106] In this embodiment, the preset condensation risk threshold refers to a risk level value preset in order to prevent the occurrence of condensation during the operation of the pipeline system. For example, the preset threshold is set to 70. If the comprehensive condensation risk level exceeds 70, preventive measures need to be taken, such as adding an insulation layer, reducing humidity, etc.; if it is lower than 70, the risk is considered to be within an acceptable range and no additional measures are required. For a more stringent system, the threshold can be set to 60; for a system with a higher tolerance, it can be set to 80.

[0107] The beneficial effects of the above technical solution are: through comprehensive analysis of multiple parameters and weight coefficients, accurate assessment of condensation risk can be achieved, condensation risk can be identified and regulated in advance, condensation in the pipeline can be effectively avoided, stable operation of the compressed air system can be ensured, the system can maintain the best operating state under different environmental conditions, and the overall performance and reliability can be improved.

[0108] Example 7

[0109] The present invention provides a user stability control method for outdoor compressed air, which determines a current warning result based on a current condensation risk level and a preset warning mechanism, and performs corresponding processing based on the current warning result, including:

[0110] Determine the triggering conditions for each warning level based on the preset warning mechanism;

[0111] Determine the current warning level based on the triggering conditions of each warning level and the current condensation risk level;

[0112] Determine the warning result corresponding to the current warning level based on the preset warning level-result database;

[0113] Based on the preset warning result-measure database, determine the processing measures corresponding to the current warning result and execute them.

[0114] In this embodiment, the trigger condition is a specific standard or threshold used to determine whether the current state of the system reaches a certain warning level, based on monitoring data such as ambient humidity, ambient temperature, pipeline pressure, etc. For example, the first-level low-risk warning: ambient humidity>70%, pipeline pressure<1.5 times the preset pressure. The second-level medium-risk warning: ambient humidity>80%, pipeline pressure<1.2 times the preset pressure. The third-level high-risk warning: ambient humidity>90%, pipeline pressure=preset pressure. The fourth-level emergency risk warning: ambient humidity>95%, pipeline pressure>preset pressure.

[0115] In this embodiment, the current warning level is the warning level evaluated based on the system's current monitoring data and trigger conditions, indicating the risk level currently faced by the system. If the current ambient humidity is 85% and the pipeline pressure is 1.1 times the preset pressure, the current warning level is a level 2 medium-risk warning.

[0116] In this embodiment, the preset warning level-result database is a database that stores warning results corresponding to each warning level, such as prompt information or warning measures. For example, level 1 low risk warning: the system is running normally and no special processing is required. Level 2 medium risk warning: prompts that attention should be paid to environmental changes and settings may need to be adjusted. Level 3 high risk warning: warns and recommends checking the system. Level 4 emergency risk warning: take emergency measures immediately to prevent system failure.

[0117] In this embodiment, the warning result is a specific result obtained from a preset warning level-result database based on the current warning level. For example, if the current warning level is a level 3 high-risk warning, the corresponding warning result is "warning and recommending system inspection."

[0118] In this embodiment, the preset warning result-measure database is a database that stores the specific treatment measures corresponding to each warning result. For example, the treatment measures corresponding to the third-level high-risk warning result are: check each component of the system, especially the compressor and pipelines, to ensure that there are no leaks and blockages; appropriately reduce the pipeline pressure or increase the environmental ventilation.

[0119] The beneficial effect of the above technical solution is: by evaluating the current condensation risk level and combining it with the preset early warning mechanism, the early warning level and corresponding treatment measures are determined, thereby achieving precise control and stable operation of the compressed air system.

[0120] Example 8

[0121] The present invention provides a user stability control method for outdoor compressed air, and the warning levels include: level one low risk warning, level two medium risk warning, level three high risk warning and level four emergency risk warning.

[0122] In this embodiment, the first-level low-risk warning is that the system performs routine monitoring, does not take active measures, and only records data;

[0123] In this embodiment, the second-level medium-risk warning is to issue a warning notification and start basic auxiliary measures, such as automatic drainage or local heating;

[0124] In this embodiment, the third-level high-risk warning is that the system takes adjustment measures, such as adjusting the compressed air flow and pressure;

[0125] In this embodiment, the fourth level emergency risk warning is to start the emergency shutdown procedure and notify the maintenance personnel to carry out on-site processing.

[0126] The beneficial effect of the above technical solution is that through the hierarchical early warning mechanism, different risk levels can be identified and responded to in advance, failures can be prevented, the system can be ensured to operate in the best state, and fluctuations caused by environmental changes can be reduced.

[0127] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A user stability control method for outdoor compressed air, characterized in that: include: Step 1: monitor the dew point temperature in the compressed air pipeline based on the first preset monitoring device, and monitor the environmental data and the pressure in the pipeline based on the second preset monitoring device; Step 2: Analyze the dew point temperature monitoring data to determine the predicted dew point temperature, and determine the comprehensive dew point temperature in combination with the real-time dew point temperature; Step 3: Determine the initial condensation risk level based on the comprehensive dew point temperature and the ambient temperature, and determine the current condensation risk level in combination with the monitoring data of the second preset monitoring device; Step 4: Determine the current warning result based on the current condensation risk level and the preset warning mechanism, and perform corresponding processing based on the current warning result.

2. A user stability control method for outdoor compressed air according to claim 1, characterized in that: The first preset monitoring device is a capacitive dew point sensor; The second preset monitoring device is an environmental humidity sensor, an environmental temperature sensor and a pipeline pressure sensor.

3. The user stability control method of outdoor compressed air according to claim 1, characterized in that: Analyze the dew point temperature monitoring data to determine the predicted dew point temperature, and combine the real-time dew point temperature to determine the comprehensive dew point temperature, including: Building a prediction model based on the dew point temperature monitoring data obtained by the first preset monitoring device, and then determining the predicted dew point temperature; Determine the comprehensive dew point temperature based on the real-time dew point temperature and the predicted dew point temperature: in, is the comprehensive dew point temperature at time t, CI pred (t) is the confidence interval width of the predicted dew point temperature at time t, n is the number of real-time dew point data up to time t, E real (t) is the real-time dew point temperature error at the tth moment, u real is the central position of the real-time dew point data, σ real For all E real The standard deviation of (t), u pred is the time when the center of the dew point data is predicted, σ pred For all T pred,t The standard deviation of is the weight of the predicted dew point temperature at time t, is the weight of the real-time dew point temperature at the tth moment, T real,t is the real-time dew point temperature at time t, T pred,t is the predicted dew point temperature at time t, m is the number of predicted dew point data before the cutoff time, S multi (t) is the preset scale adjustment function, γ is the weight of external influencing factors, F(t) is the preset external influencing factor function, is the balance weight of the real-time dew point data at time t, is the balance weight of the predicted dew point data at time t.

4. The user stability control method of outdoor compressed air according to claim 1, characterized in that: The initial condensation risk level is determined based on the comprehensive dew point temperature and ambient temperature, including: Determine the comprehensive condensation risk value based on the comprehensive dew point temperature and ambient temperature: in, J(α,β,θ,δ) is the function for determining the condensation risk weight. is the predicted value of condensation risk at time t, The preset ideal value of condensation risk at time t, is the comprehensive dew point temperature at the tth moment, C1 is the comprehensive condensation risk value at the tth moment, is the ambient temperature at the tth moment, k is the number of moments before the cutoff moment, α is the initial impact weight of condensation risk humidity at the tth moment, β is the initial impact weight of condensation risk temperature difference at the tth moment, θ is the initial impact weight of condensation risk nonlinearity at the tth moment, δ is the initial adjustment weight of condensation risk nonlinearity at the tth moment, and the weights are optimized based on J(α, β, θ, δ) and the preset algorithm to obtain α1, β1, θ1 and δ1, α1 is the optimized impact weight of condensation risk humidity at the tth moment, β1 is the optimized impact weight of condensation risk temperature difference at the tth moment, θ1 is the optimized impact weight of condensation risk nonlinearity at the tth moment, and δ1 is the optimized adjustment weight of condensation risk nonlinearity at the tth moment; Determine the initial condensation risk level based on the comprehensive condensation risk value: Among them, the initial condensation risk level is divided into level 1, level 2, level 3, level C th To preset the upper limit of the initial exposure risk threshold, C th1 R is the preset lower limit of the initial exposure risk threshold. in is the current initial condensation risk level, and C0 is the current comprehensive condensation risk value.

5. The user stability control method of outdoor compressed air according to claim 1, characterized in that: The monitoring data of the second preset monitoring device include: ambient humidity, ambient temperature, pipeline pressure and pipeline end surface temperature.

6. The user stability control method of outdoor compressed air according to claim 1, characterized in that: The current condensation risk level is determined in combination with the monitoring data of the second preset monitoring device, including: Determine the condensation risk level based on the monitoring data of the second preset monitoring device and the initial condensation risk level: Among them, R c is the current condensation risk level, RH is the current ambient humidity, T e is the current ambient temperature, p is the current pipeline pressure, p r is the preset pipeline pressure reference value, T s is the current surface temperature at the end of the pipe, R in is the initial condensation risk level, C20 is the preset condensation risk threshold, k1 is the comprehensive weight of the monitoring data of the second preset monitoring device, k2 is the weight corresponding to the pipeline pressure, k3 is the weight corresponding to the ambient humidity, and a and b are preset constants with fixed values.

7. The user stability control method of outdoor compressed air according to claim 1, characterized in that: The current warning result is determined based on the current condensation risk level and the preset warning mechanism, and corresponding processing is performed based on the current warning result, including: Determine the triggering conditions for each warning level based on the preset warning mechanism; Determine the current warning level based on the triggering conditions of each warning level and the current condensation risk level; Determine the warning result corresponding to the current warning level based on the preset warning level-result database; Based on the preset warning result-measure database, determine the processing measures corresponding to the current warning result and execute them.

8. The user stability control method of outdoor compressed air according to claim 1, characterized in that: Warning levels include: level one low-risk warning, level two medium-risk warning, level three high-risk warning, and level four emergency risk warning.

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