A method and medium for determining the operating state of a booster station based on a long run pipeline

Abstract

This invention discloses a method and medium for determining the operating status of booster stations based on long-haul pipelines. The method involves collecting multi-source booster station description data corresponding to the target booster station; processing fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters using parameter preprocessing methods, and combining this with index parameter calculation methods to obtain a target set of calculated index parameters; obtaining and comparing this set with a standard set of index parameters to determine the first operating status level; if the first operating status level meets the conditions for entering the evaluation mechanism, then a second operating status level is obtained through index weighted calculation and comparison methods, and the booster station's operating status result is determined and fed back. This invention solves the problems of decentralized single-point alarms or simple threshold judgments in existing technologies, as well as the inability to classify and identify different levels of operational risks, improving the accuracy of booster station status detection and ensuring the safety of booster station operation.

Description

Technical Field

[0001] This invention relates to the field of data processing technology for booster stations, and in particular to a method and medium for determining the operating status of booster stations based on long-haul pipelines. Background Technology

[0002] Long-distance pipeline transportation systems are widely used in the transportation of energy and industrial media such as oil, natural gas, and water resources. To overcome pressure loss and terrain differences along the pipeline, booster stations (such as pumping stations or compressor stations) are often installed along the pipeline to maintain the system's flow rate and stable operation. Due to the complex operating environment and the variety of equipment, booster stations may experience various degradation problems during long-term operation, including decreased pressure differential, increased energy consumption, abnormal vibration, localized overheating, and safety leaks.

[0003] In the process of developing this invention, the inventors discovered the following shortcomings in the existing technology: Currently, existing monitoring methods for booster station operation mostly employ decentralized single-point alarms or simple threshold judgments, lacking the fusion processing and comprehensive analysis of multi-source operational data. This makes it difficult to achieve quantitative assessment and trend identification of operational status, easily leading to the failure to detect potential faults in a timely manner, affecting the continuity and safety of the entire pipeline system. Furthermore, existing technologies cannot classify and identify different levels of operational risks and provide graded responses, resulting in uneven allocation of maintenance resources, delayed fault handling, and difficulty in adapting to the development needs of intelligent operation and maintenance. Summary of the Invention

[0004] This invention provides a method and medium for determining the operating status of a booster station based on a long-distance pipeline, thereby improving the accuracy of booster station status detection and ensuring the safety of booster station operation.

[0005] According to one aspect of the present invention, a method for determining the operating status of a booster station based on a long-distance pipeline is provided, comprising: Collect descriptive data of the multi-source booster station corresponding to the target booster station; The target booster station is a station set up in a long-distance pipeline. Multiple sensor arrays are arranged in the target booster station, and each sensor array is used to collect different booster station description data. The multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters. By using a preset parameter preprocessing method, the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters are processed respectively, and combined with a preset index parameter calculation method, a target set of calculated index parameters is obtained. Obtain and compare the standard indicator parameter set with the target calculated indicator parameter set, and determine the first operating status level corresponding to the target booster station based on the comparison result; If the first operating state level is determined to meet the conditions for entering the evaluation mechanism, the second operating state level is obtained by processing and calculating the set of target calculation index parameters through a preset index weighted calculation and comparison method. Based on the first operating status level and the second operating status level, the operating status result of the booster station corresponding to the target booster station is determined, and the operating status result of the booster station is fed back to the user.

[0006] According to another aspect of the present invention, a device for determining the operating status of a booster station based on a long-distance pipeline is provided, comprising: The multi-source booster station description data acquisition module is used to collect multi-source booster station description data corresponding to the target booster station; The target booster station is a station set up in a long-distance pipeline. Multiple sensor arrays are arranged in the target booster station, and each sensor array is used to collect different booster station description data. The multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters. The target calculation index parameter set determination module is used to process the fluid transport parameters, equipment operating parameters, auxiliary system parameters and safety and abnormal parameters respectively through a preset parameter preprocessing method, and combine them with a preset index parameter calculation method to obtain the target calculation index parameter set; The first operating status level determination module is used to acquire and compare the standard index parameter set with the target calculated index parameter set, and determine the first operating status level corresponding to the target booster station based on the comparison result. The second operating status level determination module is used to process and calculate the set of target calculation index parameters through a preset index weighted calculation and comparison method if the first operating status level is determined to meet the conditions for entering the evaluation mechanism, so as to obtain the second operating status level. The booster station operation status result determination and feedback module is used to determine the booster station operation status result corresponding to the target booster station based on the first operation status level and the second operation status level, and to feed back the booster station operation status result to the user.

[0007] According to another aspect of the present invention, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method for determining the operating status of a booster station based on a long-distance pipeline as described in any embodiment of the present invention.

[0008] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the method for determining the operating status of a booster station based on a long-distance pipeline as described in any embodiment of the present invention.

[0009] The technical solution of this invention involves collecting descriptive data of multi-source booster stations corresponding to a target booster station; processing the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters using a preset parameter preprocessing method, and combining this with a preset index parameter calculation method to obtain a target calculation index parameter set; acquiring and comparing the target calculation index parameter set with a standard index parameter set, and determining a first operating status level corresponding to the target booster station based on the comparison result; if the first operating status level meets the conditions for entering the evaluation mechanism, processing and calculating each target calculation index parameter set using a preset index weighted calculation and comparison method to obtain a second operating status level; determining the booster station operating status result corresponding to the target booster station based on the first operating status level and the second operating status level, and feeding back the booster station operating status result to the user. It solves the problems of distributed single-point alarms or simple threshold judgments in existing technologies, as well as the inability to classify and identify different levels of operational risks. It improves the accuracy and efficiency of booster station status detection, ensures the safety and continuity of booster station operation, improves the rationality of resource allocation and the timeliness of fault detection, and enhances the flexibility and comprehensiveness of intelligent operation and maintenance.

[0010] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart of a method for determining the operating status of a booster station based on a long-distance pipeline, according to Embodiment 1 of the present invention. Figure 2 This is a schematic diagram of a device for determining the operating status of a booster station based on a long-distance pipeline, according to Embodiment 2 of the present invention. Figure 3This is a schematic diagram of the structure of an electronic device provided according to Embodiment 3 of the present invention. Detailed Implementation

[0013] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0014] It should be noted that the terms "target," "current," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0015] It is worth noting that the information collected in the technical solution of this application is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data all comply with the relevant laws, regulations and standards of the relevant countries and regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entry points for users to choose to authorize or refuse; if the user chooses to refuse, the process will proceed to the expert decision-making process.

[0016] Example 1 Figure 1 The present invention provides a flowchart of a method for determining the operating status of a booster station based on a long-distance pipeline in Embodiment 1. This embodiment is applicable to the situation of determining the status of a booster station on a long-distance pipeline. The method can be executed by a device for determining the operating status of a booster station based on a long-distance pipeline, which can be implemented in hardware and / or software.

[0017] Correspondingly, such as Figure 1 As shown, the method includes: S110. Collect description data of the multi-source booster station corresponding to the target booster station.

[0018] The target booster station is a station set up in a long-distance pipeline. Multiple sensor arrays are arranged in the target booster station, and each sensor array is used to collect different booster station description data. The multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters.

[0019] Different sensor arrays are used to collect different booster station description data, including fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters.

[0020] S120. The fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters are processed by a preset parameter preprocessing method, and the target calculation index parameter set is obtained by combining the preset index parameter calculation method.

[0021] Optionally, the fluid transport parameters include the current inlet pressure, current outlet pressure, and current instantaneous flow rate; the equipment operating parameters include the current motor current, current voltage, current vibration amplitude, and current bearing temperature; the auxiliary system parameters include the current ambient temperature; and the safety and anomaly parameters include the current leak detection signal. The process involves preprocessing the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters using a preset parameter preprocessing method, and combining this with a preset index parameter calculation method to obtain a target set of calculated index parameters. This includes: using the three-standard-deviation method in the parameter preprocessing method to remove abnormal data points deviating from the mean in the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters, and combining this with... The weighted moving average sub-method is used for denoising, and spline interpolation is used for interpolation. Resampling and normalization sub-methods are then used to obtain preprocessed standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters. Based on these parameters, a target set of calculated index parameters is obtained using an index parameter calculation method. The standard fluid transport parameters include a first inlet pressure, a first outlet pressure, and a first instantaneous flow rate. The standard equipment operating parameters include a first motor current, a first voltage, a first vibration amplitude, and a first bearing temperature. The standard auxiliary system parameters include a first ambient temperature. The standard safety and anomaly parameters include a first leak detection signal.

[0022] The parameter preprocessing methods include sub-methods such as the three-standard-deviation method, the weighted moving average method, the spline interpolation method, and the resampling and normalization methods.

[0023] In this embodiment, the fluid transport parameters include the current inlet pressure, current outlet pressure, and current instantaneous flow rate; the equipment operating parameters include the current motor current, current voltage, current vibration amplitude, and current bearing temperature; the auxiliary system parameters include the current ambient temperature; and the safety and anomaly parameters include the current leak detection signal. Therefore, the multi-source booster station description data can be determined to include four parameter groups: transport, equipment, auxiliary, and safety. This clarifies the functional positioning of each parameter, facilitating multi-dimensional calculations and fusion analysis during subsequent evaluation.

[0024] The specific preprocessing operations are as follows: A three-standard-deviation sub-method is used to identify and remove outlier data points deviating from the mean for fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters; a weighted moving average sub-method is used for denoising; spline interpolation is used to imput missing data in these parameters; resampling and normalization sub-methods are used to resample fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters at different sampling frequencies based on a unified time axis, and finally, normalization is performed to obtain the preprocessed fluid transport parameters, preprocessed equipment operating parameters, preprocessed auxiliary system parameters, and preprocessed safety and anomaly parameters, i.e., standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters; based on these standard parameters, the target set of calculated index parameters is obtained through index parameter calculation methods.

[0025] In detail, the standard fluid transport parameters include the first inlet pressure, the first outlet pressure, and the first instantaneous flow rate (obtained by preprocessing the current inlet pressure, current outlet pressure, and current instantaneous flow rate, respectively); the standard equipment operating parameters include the first motor current, the first voltage, the first vibration amplitude, and the first bearing temperature (obtained by preprocessing the current motor current, current voltage, current vibration amplitude, and current bearing temperature, respectively); the standard auxiliary system parameters include the first ambient temperature (obtained by preprocessing the current ambient temperature); and the standard safety and anomaly parameters include the first leak detection signal (obtained by preprocessing the current leak detection signal, respectively).

[0026] It should be noted that the preprocessing method uses the three-standard-deviation sub-method to remove outlier data points that significantly deviate from the mean, effectively eliminating sporadic interference signals such as sensor false alarms and electromagnetic interference, thus improving the authenticity and reliability of the data. The weighted moving average sub-method is used for denoising, smoothing instantaneous fluctuations and preserving effective trends, which helps to make subsequent indicator calculations more stable and sensitive. Spline interpolation is used to imput missing data, avoiding evaluation interruptions or calculation biases caused by data gaps and ensuring the continuity of the evaluation process. Data from different sampling frequencies are aligned to a unified time axis to achieve synchronous parameter analysis, improving the logical correlation and evaluation accuracy of multi-source indicators. Normalization ensures that different physical quantities (such as temperature, vibration, and current) have a unified numerical scale, laying the foundation for subsequent weighted fusion and health score calculation, and improving the rationality and accuracy of model judgment.

[0027] Optionally, the step of obtaining the target set of calculated index parameters based on the standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters through an index parameter calculation method includes: calculating the current differential pressure index based on the first inlet pressure and the first outlet pressure; calculating the current unit energy consumption index based on the first motor current, the first voltage, and the first instantaneous flow rate; calculating the current vibration change rate index based on the first vibration amplitude; calculating the current temperature rise index based on the first bearing temperature and the first ambient temperature; calculating the current safety index based on the first leakage detection signal; and obtaining the target set of calculated index parameters based on the current differential pressure index, the current unit energy consumption index, the current vibration change rate index, the current temperature rise index, and the current safety index.

[0028] In this embodiment, the current differential pressure index is calculated based on the difference between the first outgoing pressure and the first incoming pressure. This current differential pressure index reflects the pressure boosting capacity of the booster equipment and is a key parameter for whether the booster station maintains normal boosting function. The current unit energy consumption index is calculated based on the ratio of the first motor current, the first voltage, and the first instantaneous flow rate. This index is used to assess the electrical energy consumed per unit of medium transport and reflects the system's energy efficiency level and potential energy consumption anomalies. The vibration change rate index is calculated based on the rate of change of the first vibration amplitude within a continuous time window. This index is used to monitor the mechanical structural stability during equipment operation and identify early signs of bearing, coupling, or shaft failures. The current temperature rise index is calculated based on the temperature difference and ratio between the first bearing temperature and the first ambient temperature. This index characterizes the degree of heat accumulation inside the equipment and is an important reference for judging cooling efficiency and potential thermal runaway risk. The current safety index is directly extracted based on the status value of the first leakage detection signal. This index reflects whether the current system is in a potential leakage or other safety anomaly state.

[0029] It should be noted that the above four indicators, by introducing dynamic indicators such as vibration change rate and temperature rise coefficient, are different from the traditional static threshold judgment method. They can identify gradual risks in equipment operation in advance, enhance the predictability and proactive maintenance capabilities of the system. For example, the vibration change rate indicator can identify small frequency disturbances, and the temperature rise indicator can reflect the trend of bearing wear or cooling failure in advance, which helps to intervene in maintenance in advance and prevent the fault from escalating.

[0030] S130. Obtain and compare the standard indicator parameter set with the target calculated indicator parameter set, and determine the first operating status level corresponding to the target booster station based on the comparison result.

[0031] The standard indicator parameter set includes minimum differential pressure threshold, unit energy consumption threshold, vibration rate of change threshold, temperature rise threshold, and safety threshold. The target calculation indicator parameter set includes current differential pressure indicator, current unit energy consumption indicator, current vibration rate of change indicator, current temperature rise indicator, and current safety indicator. The first operating status level can be generated based on indicator comparisons, describing the specific operating status level corresponding to the target booster station.

[0032] Optionally, the step of acquiring and comparing the standard indicator parameter set with the target calculated indicator parameter set, and determining the first operating state level corresponding to the target booster station based on the comparison result, includes: comparing the current differential pressure indicator with the minimum differential pressure threshold using a preset differential pressure comparison method to obtain the target differential pressure state; wherein, by using the differential pressure comparison method, if it is determined that the current differential pressure indicator is greater than or equal to the minimum differential pressure threshold, the target differential pressure state is determined to be the first differential pressure state a1; if it is determined that the current differential pressure indicator is less than the first percentage value corresponding to the minimum differential pressure threshold, the target differential pressure state is determined to be the second differential pressure state a2; if it is determined that the current differential pressure indicator is less than the second percentage value corresponding to the minimum differential pressure threshold, the target differential pressure state is determined to be the second differential pressure state a2. The differential pressure state is the third differential pressure state a3; wherein, the first percentage value is less than the second percentage value; the current unit energy consumption index and the unit energy consumption threshold are compared using a preset unit energy consumption comparison method to obtain the target unit energy consumption state; wherein, using the unit energy consumption comparison method, if the current unit energy consumption index is less than or equal to the unit energy consumption threshold, the target unit energy consumption state is determined to be the first unit energy consumption state b1; if the current unit energy consumption index is less than the preset percentage value corresponding to the unit energy consumption threshold, the target unit energy consumption state is determined to be the second unit energy consumption state b2; if the current unit energy consumption index is greater than or equal to the preset percentage value corresponding to the unit energy consumption threshold, the target unit energy consumption state is determined to be the third unit energy consumption state. b3; By using a preset vibration change rate comparison method, the current vibration change rate index and the vibration change rate threshold are compared to obtain the target vibration change rate state; wherein, by using the vibration change rate comparison method, if the current vibration change rate index is less than or equal to the vibration change rate threshold, the target vibration change rate state is determined to be the first vibration change rate state c1; if the current vibration change rate index is less than a preset percentage value corresponding to the vibration change rate threshold, the target vibration change rate state is determined to be the second vibration change rate state c2; if the current vibration change rate index is greater than or equal to a preset percentage value corresponding to the vibration change rate threshold, the target vibration change rate state is determined to be the third vibration change rate state c3; by using a preset temperature rise comparison... The method compares the current temperature rise index with the temperature rise threshold to obtain a target temperature rise state. Specifically, using the temperature rise comparison method, if the current temperature rise index is less than or equal to the temperature rise threshold, the target temperature rise state is determined to be a first temperature rise state d1; if the current temperature rise index is less than a preset percentage value corresponding to the temperature rise threshold, the target temperature rise state is determined to be a second temperature rise state d2; if the current temperature rise index is greater than or equal to a preset percentage value corresponding to the temperature rise threshold, the target temperature rise state is determined to be a third temperature rise state d3; if the current safety index is less than a safety threshold, the target safety state is determined to be a first safety state e1; if the current safety index is greater than or equal to the safety threshold, the target safety state is determined to be a second safety state e2.Based on the target differential pressure state, target unit energy consumption state, target vibration rate of change state, target temperature rise state, and target safety state, the first operating state level corresponding to the target booster station is determined. Specifically, if a1, b1, c1, d1, and e1 all exist simultaneously, the first operating state level is determined to be L0; if any one of a2, b2, c2, and d2 exists, and a3, b3, c3, and d3 do not exist, the first operating state level is determined to be L1; if any one of a3, b3, c3, d3, and e2 exists, the first operating state level is determined to be L2; if any two or more of a3, b3, c3, d3, and e2 exist, the first operating state level is determined to be L3.

[0033] For example, it can be set up by using a pressure difference comparison method. If it is determined that the current pressure difference index is greater than or equal to the minimum pressure difference threshold, then the target pressure difference state is determined as the first pressure difference state a1; if it is determined that the current pressure difference index is less than 5% to 15% of the minimum pressure difference threshold, then the target pressure difference state is determined as the second pressure difference state a2; if it is determined that the current pressure difference index is less than 15% to 20% of the minimum pressure difference threshold, then the target pressure difference state is determined as the third pressure difference state a3.

[0034] Specifically, using the unit energy consumption comparison method, if the current unit energy consumption index is less than or equal to the unit energy consumption threshold, the target unit energy consumption state is determined as the first unit energy consumption state b1; if the current unit energy consumption index is less than 20% of the unit energy consumption threshold, the target unit energy consumption state is determined as the second unit energy consumption state b2; and if the current unit energy consumption index is greater than or equal to 20% of the unit energy consumption threshold, the target unit energy consumption state is determined as the third unit energy consumption state b3. Using the vibration change rate comparison method, if the current vibration change rate index is less than or equal to the vibration change rate threshold, the target vibration change rate state is determined as the first vibration change rate state c1; if the current vibration change rate index is less than 20% of the vibration change rate threshold, the target vibration change rate state is determined as the second vibration change rate state c2; and if the current vibration change rate index is greater than or equal to 20% of the vibration change rate threshold, the target vibration change rate state is determined as the third vibration change rate state c3. Using the temperature rise comparison method, if the current temperature rise index is less than or equal to the temperature rise threshold, the target temperature rise state is determined as the first temperature rise state d1; if the current temperature rise index is less than 10% of the temperature rise threshold, the target temperature rise state is determined as the second temperature rise state d2; if the current temperature rise index is greater than or equal to 10% of the temperature rise threshold, the target temperature rise state is determined as the third temperature rise state d3.

[0035] Furthermore, after determining the specific state, the operating state level can be determined. Specifically, if a1, b1, c1, d1, and e1 exist simultaneously, the first operating state level is determined to be L0; if any one of a2, b2, c2, and d2 exists, and a3, b3, c3, and d3 do not exist, the first operating state level is determined to be L1; if any one of a3, b3, c3, d3, and e2 exists, the first operating state level is determined to be L2; if any two or more of a3, b3, c3, d3, and e2 exist, the first operating state level is determined to be L3.

[0036] It should be noted that the above-mentioned operational status level assessment compares five core indicators—pressure difference, unit energy consumption, vibration change rate, temperature rise, and safety status—with their corresponding preset thresholds in a tiered manner. This move away from the crude "whether limits are exceeded" approach, making the assessment of equipment operational status more detailed, continuous, and responsive, thereby improving the sensitivity and accuracy of operational status identification. The L1 status is triggered only by the presence of any one of the minor deviations (a2, b2, c2, and d2), providing early warning capabilities for timely intervention. The L2 status indicates the presence of serious deviations (a3, b3, c3, d3, and e2). The L3 status requires multiple serious deviations to occur simultaneously, providing a high-confidence fault diagnosis capability and is suitable for triggering emergency strategies such as shutdowns and safety reviews.

[0037] Optionally, after obtaining and comparing the standard indicator parameter set with the target calculated indicator parameter set, and determining the first operating status level corresponding to the target booster station based on the comparison result, the method further includes: if the first operating status level is less than L1, then it is determined that the first operating status level does not meet the conditions for entering the evaluation mechanism; if the first operating status level is greater than or equal to L1, then it is determined that the first operating status level meets the conditions for entering the evaluation mechanism; wherein, L0 is less than L1; L2 and L3 are both greater than L1.

[0038] In this embodiment, if the first operating state level is L0, since L0 is less than L1, it indicates that the current operating state level is within the normal range. Therefore, it can be determined that the first operating state level does not meet the conditions for entering the evaluation mechanism, meaning that no further evaluation is required. If the first operating state level is any one of L1, L2, or L3, it is determined that the first operating state level is greater than or equal to L1, and therefore, the evaluation mechanism needs to be entered.

[0039] S140. If it is determined that the first operating state level meets the conditions for entering the evaluation mechanism, the second operating state level is obtained by processing and calculating the set of target calculation index parameters through a preset index weighted calculation and comparison method.

[0040] Optionally, the step of processing and calculating each target calculation index parameter set using a preset index weighted calculation and comparison method to obtain the second operating state level includes: obtaining normalized pressure difference index, normalized unit energy consumption index, normalized vibration change rate index, normalized temperature rise index, and normalized safety index based on the standard index parameter set and the target calculation index parameter set using a preset index vector normalization processing method; the formula corresponding to the index weighted calculation and comparison method is: The current comprehensive health score is calculated; among which, Indicates the first weighting coefficient; This represents the normalized differential pressure index; This represents the second weighting coefficient; This represents the normalized unit energy consumption index; This represents the third weighting coefficient; This represents the normalized rate of change of vibration index. This represents the fourth weighting coefficient; This represents the normalized temperature rise index; This represents the fifth weighting coefficient; The system represents a normalized safety index; it obtains preset health score thresholds; wherein the health score thresholds include a first health score threshold, a second health score threshold, and a third health score threshold; the first health score threshold is greater than the second health score threshold; the second health score threshold is greater than the third health score threshold; if the current comprehensive health score is greater than or equal to the first health score threshold, then the second operating state level is determined to be L0; if the current comprehensive health score is less than the first health score threshold and greater than or equal to the second health score threshold, then the second operating state level is determined to be L1; if the current comprehensive health score is less than the second health score threshold and greater than or equal to the third health score threshold, then the second operating state level is determined to be L2; if the current comprehensive health score is less than the third health score threshold, then the second operating state level is determined to be L3.

[0041] The standard parameter set includes minimum differential pressure threshold, unit energy consumption threshold, vibration rate of change threshold, temperature rise threshold, and safety threshold. The target calculation parameter set includes current differential pressure, current unit energy consumption, current vibration rate of change, current temperature rise, and current safety.

[0042] Specifically, for the first weight coefficient, second weight coefficient, third weight coefficient, fourth weight coefficient, and fifth weight coefficient, the following conditions are set: conditions.

[0043] Specifically, the minimum differential pressure threshold is set as follows: The current differential pressure index is The first exit pressure is The first entry pressure is It can be done through formulas. The current differential pressure is calculated using the formula. The normalized differential pressure index is calculated. Setting the first motor current as I, the first voltage as U, and the first instantaneous flow rate as Q, the current unit energy consumption index can be calculated. Set the unit energy consumption threshold to The highest historical unit energy consumption value is It can be done through formula This is used to calculate the normalized unit energy consumption index. The first vibration amplitude is set to... It can be done through formula The current vibration change rate index is calculated. Set the vibration rate of change threshold to The historical maximum rate of change of vibration is ; ; can be done through formula This is used to calculate the normalized vibration rate of change index. The first bearing temperature can be set to... The ambient temperature is It can calculate the current temperature rise index. Set the temperature rise threshold to The historical maximum temperature rise is It can calculate the normalized temperature rise index. It can be set that if the current security state is e1, the normalized security index is 1; it can be set that if the current security state is e2, the normalized security index is 0.

[0044] Furthermore, through the formula The current comprehensive health score is calculated using this method. It should be noted that by determining whether the first operational status level reaches L1 or above, the decision is made to enter the second evaluation mechanism, thus optimizing the scheduling of computing resources. When the first operational status level is at the normal level (L0), the evaluation can be completed solely through basic indicator judgment, avoiding unnecessary high-complexity calculations. However, when mild or moderate anomalies occur, a higher-order weighted fusion analysis is automatically invoked, helping to focus on abnormal areas and refine the judgment results. In the second operational status level step, multiple heterogeneous physical quantities (such as pressure difference, energy consumption, vibration, temperature rise, and safety) are normalized and constructed into a unified indicator vector. The comprehensive health score is then calculated through a weighted summation method, enabling the quantitative expression and unified evaluation of complex operational states. Compared to basic level judgment, the weighted scoring mechanism has advantages such as strong continuity, high sensitivity, and good adaptability, making it particularly suitable for identifying boundary states, deterioration trends, or structural hazards, thus facilitating accurate early warning and proactive maintenance.

[0045] Furthermore, by comparing the current comprehensive health score with health score thresholds, that is, if the current comprehensive health score is greater than or equal to the first health score threshold, the second operating status level is determined to be L0; if the current comprehensive health score is less than the first health score threshold but greater than or equal to the second health score threshold, the second operating status level is determined to be L1; if the current comprehensive health score is less than the second health score threshold but greater than or equal to the third health score threshold, the second operating status level is determined to be L2; and if the current comprehensive health score is less than the third health score threshold, the second operating status level is determined to be L3.

[0046] S150. Based on the first operating status level and the second operating status level, determine the operating status result of the booster station corresponding to the target booster station, and feed back the operating status result of the booster station to the user.

[0047] The results of the booster station's operating status can include normal or abnormal status, which are used to describe the specific operating status of the booster station.

[0048] Optionally, determining the booster station operating status result corresponding to the target booster station based on the first operating status level and the second operating status level includes: if the difference between the first operating status level and the second operating status level is more than one level, then the booster station operating status result corresponding to the target booster station is determined to be an abnormal state; if the difference between the first operating status level and the second operating status level is less than or equal to one level, then the booster station operating status result corresponding to the target booster station is determined to be a normal state, and the result is entered into the warning and display interface system.

[0049] Specifically, when the calculated first operating status level is compared with the second operating status level, if the difference between the two levels is greater than or equal to one level (e.g., the first operating status level is L1 and the second operating status level is L3), it is determined that there is a significant deviation. The reason for the significant deviation may be due to sampling fluctuations, algorithm anomalies, or sudden changes in operating conditions. Therefore, a manual review process is automatically triggered, and the currently collected data, calculation results, and relevant anomaly prompts are packaged and uploaded to the backend for further manual confirmation and judgment by maintenance personnel. If the difference between the first and second operating status levels is less than or equal to one level (e.g., the first operating status level is L1 and the second operating status level is L2 or L1), it is considered that the difference is within the tolerable range and is judged as normal. Then, the warning and display interface is entered, and the current operating level and parameter change trend are automatically pushed to the terminal to realize the visualization and real-time tracking of the operating status.

[0050] The technical solution of this invention involves collecting descriptive data of multi-source booster stations corresponding to a target booster station; processing the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters using a preset parameter preprocessing method, and combining this with a preset index parameter calculation method to obtain a target calculation index parameter set; acquiring and comparing the target calculation index parameter set with a standard index parameter set, and determining a first operating status level corresponding to the target booster station based on the comparison result; if the first operating status level meets the conditions for entering the evaluation mechanism, processing and calculating each target calculation index parameter set using a preset index weighted calculation and comparison method to obtain a second operating status level; determining the booster station operating status result corresponding to the target booster station based on the first operating status level and the second operating status level, and feeding back the booster station operating status result to the user. It solves the problems of distributed single-point alarms or simple threshold judgments in existing technologies, as well as the inability to classify and identify different levels of operational risks. It improves the accuracy and efficiency of booster station status detection, ensures the safety and continuity of booster station operation, improves the rationality of resource allocation and the timeliness of fault detection, and enhances the flexibility and comprehensiveness of intelligent operation and maintenance.

[0051] Example 2 Figure 2 This is a schematic diagram of a device for determining the operating status of a booster station based on a long-distance pipeline, provided in Embodiment 2 of the present invention. The device for determining the operating status of a booster station based on a long-distance pipeline provided in this embodiment can be implemented through software and / or hardware, and can be configured in a terminal device or server to implement a method for determining the operating status of a booster station based on a long-distance pipeline, as described in this embodiment of the present invention. Figure 2 As shown, the device includes: a multi-source booster station description data acquisition module 210, a target calculation index parameter set determination module 220, a first operating status level determination module 230, a second operating status level determination module 240, and a booster station operating status result determination and feedback module 250.

[0052] Among them, the multi-source booster station description data acquisition module 210 is used to collect multi-source booster station description data corresponding to the target booster station; The target booster station is a station set up in a long-distance pipeline. Multiple sensor arrays are arranged in the target booster station, and each sensor array is used to collect different booster station description data. The multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters. The target calculation index parameter set determination module 220 is used to process the fluid transport parameters, equipment operating parameters, auxiliary system parameters and safety and abnormal parameters respectively through a preset parameter preprocessing method, and combine them with a preset index parameter calculation method to obtain the target calculation index parameter set; The first operating status level determination module 230 is used to acquire and compare the standard index parameter set with the target calculated index parameter set, and determine the first operating status level corresponding to the target booster station based on the comparison result. The second operating status level determination module 240 is used to process and calculate the set of target calculation index parameters through a preset index weighted calculation and comparison method if the first operating status level is determined to meet the conditions for entering the evaluation mechanism, so as to obtain the second operating status level. The booster station operation status result determination and feedback module 250 is used to determine the booster station operation status result corresponding to the target booster station based on the first operation status level and the second operation status level, and to feed back the booster station operation status result to the user.

[0053] The technical solution of this invention involves collecting descriptive data of multi-source booster stations corresponding to a target booster station; processing the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters using a preset parameter preprocessing method, and combining this with a preset index parameter calculation method to obtain a target calculation index parameter set; acquiring and comparing the target calculation index parameter set with a standard index parameter set, and determining a first operating status level corresponding to the target booster station based on the comparison result; if the first operating status level meets the conditions for entering the evaluation mechanism, processing and calculating each target calculation index parameter set using a preset index weighted calculation and comparison method to obtain a second operating status level; determining the booster station operating status result corresponding to the target booster station based on the first operating status level and the second operating status level, and feeding back the booster station operating status result to the user. It solves the problems of distributed single-point alarms or simple threshold judgments in existing technologies, as well as the inability to classify and identify different levels of operational risks. It improves the accuracy and efficiency of booster station status detection, ensures the safety and continuity of booster station operation, improves the rationality of resource allocation and the timeliness of fault detection, and enhances the flexibility and comprehensiveness of intelligent operation and maintenance.

[0054] Based on the above embodiments, the fluid transport parameters include the current inlet pressure, the current outlet pressure, and the current instantaneous flow rate; the equipment operating parameters include the current motor current, the current voltage, the current vibration amplitude, and the current bearing temperature; the auxiliary system parameters include the current ambient temperature; and the safety and abnormality parameters include the current leak detection signal.

[0055] Based on the above embodiments, the target calculation index parameter set determination module 220 can be specifically used to: remove abnormal data points deviating from the mean in the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters using the three-standard-deviation sub-method in the parameter preprocessing method; perform denoising processing using the weighted moving average sub-method and interpolation processing using the spline interpolation method; and obtain the preprocessed standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters using the resampling and normalization sub-methods; and obtain the target calculation index parameter set based on the standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters using the index parameter calculation method; wherein, the standard fluid transport parameters include the first inlet pressure, the first outlet pressure, and the first instantaneous flow rate; the standard equipment operating parameters include the first motor current, the first voltage, the first vibration amplitude, and the first bearing temperature; the standard auxiliary system parameters include the first ambient temperature; and the standard safety and anomaly parameters include the first leakage detection signal.

[0056] Based on the above embodiments, the target calculation index parameter set determination module 220 can also be specifically used to: calculate the current differential pressure index based on the first inlet pressure and the first outlet pressure using an index parameter calculation method; calculate the current unit energy consumption index based on the first motor current, the first voltage, and the first instantaneous flow rate; calculate the current vibration change rate index based on the first vibration amplitude; calculate the current temperature rise index based on the first bearing temperature and the first ambient temperature; calculate the current safety index based on the first leakage detection signal; and obtain the target calculation index parameter set based on the current differential pressure index, the current unit energy consumption index, the current vibration change rate index, the current temperature rise index, and the current safety index.

[0057] Based on the above embodiments, the set of standard index parameters includes minimum pressure difference threshold, unit energy consumption threshold, vibration change rate threshold, temperature rise threshold, and safety threshold.

[0058] Based on the above embodiments, the first operating state level determination module 230 can be specifically used to: compare the current differential pressure index with the minimum differential pressure threshold using a preset differential pressure comparison method to obtain a target differential pressure state; wherein, by the differential pressure comparison method, if it is determined that the current differential pressure index is greater than or equal to the minimum differential pressure threshold, the target differential pressure state is determined to be a first differential pressure state a1; if it is determined that the current differential pressure index is less than the first percentage value corresponding to the minimum differential pressure threshold, the target differential pressure state is determined to be a second differential pressure state a2; if it is determined that the current differential pressure index is less than the second percentage value corresponding to the minimum differential pressure threshold, the target differential pressure state is determined to be a third differential pressure state a3; wherein, the first percentage value is less than the second percentage value corresponding to the minimum differential pressure threshold. Based on the second percentage value; using a preset unit energy consumption comparison method, the current unit energy consumption index and the unit energy consumption threshold are compared to obtain the target unit energy consumption state; wherein, using the unit energy consumption comparison method, if the current unit energy consumption index is less than or equal to the unit energy consumption threshold, the target unit energy consumption state is determined to be the first unit energy consumption state b1; if the current unit energy consumption index is less than a preset percentage value corresponding to the unit energy consumption threshold, the target unit energy consumption state is determined to be the second unit energy consumption state b2; if the current unit energy consumption index is greater than or equal to a preset percentage value corresponding to the unit energy consumption threshold, the target unit energy consumption state is determined to be the third unit energy consumption state b3; using a preset vibration change rate comparison method... The method compares the current vibration rate of change index with the vibration rate of change threshold to obtain the target vibration rate of change state; wherein, through the vibration rate of change comparison method, if the current vibration rate of change index is less than or equal to the vibration rate of change threshold, the target vibration rate of change state is determined to be the first vibration rate of change state c1; if the current vibration rate of change index is less than a preset percentage value corresponding to the vibration rate of change threshold, the target vibration rate of change state is determined to be the second vibration rate of change state c2; if the current vibration rate of change index is greater than or equal to the preset percentage value corresponding to the vibration rate of change threshold, the target vibration rate of change state is determined to be the third vibration rate of change state c3; and through a preset temperature rise comparison method, the current... The temperature rise index is compared with the temperature rise threshold to obtain the target temperature rise state. Specifically, using the temperature rise comparison method, if the current temperature rise index is less than or equal to the temperature rise threshold, the target temperature rise state is determined to be the first temperature rise state d1; if the current temperature rise index is less than a preset percentage value corresponding to the temperature rise threshold, the target temperature rise state is determined to be the second temperature rise state d2; if the current temperature rise index is greater than or equal to a preset percentage value corresponding to the temperature rise threshold, the target temperature rise state is determined to be the third temperature rise state d3; if the current safety index is less than the safety threshold, the target safety state is determined to be the first safety state e1; if the current safety index is greater than or equal to the safety threshold, the target safety state is determined to be the second safety state e2.Based on the target differential pressure state, target unit energy consumption state, target vibration rate of change state, target temperature rise state, and target safety state, the first operating state level corresponding to the target booster station is determined. Specifically, if a1, b1, c1, d1, and e1 all exist simultaneously, the first operating state level is determined to be L0; if any one of a2, b2, c2, and d2 exists, and a3, b3, c3, and d3 do not exist, the first operating state level is determined to be L1; if any one of a3, b3, c3, d3, and e2 exists, the first operating state level is determined to be L2; if any two or more of a3, b3, c3, d3, and e2 exist, the first operating state level is determined to be L3.

[0059] Based on the above embodiments, the system further includes an evaluation mechanism condition judgment module, which can be specifically used to, after obtaining and comparing the standard index parameter set with the target calculated index parameter set, and determining the first operating status level corresponding to the target booster station based on the comparison result, determine that the first operating status level does not meet the evaluation mechanism condition if the first operating status level is less than L1; and determine that the first operating status level meets the evaluation mechanism condition if the first operating status level is greater than or equal to L1; wherein, L0 is less than L1; and L2 and L3 are both greater than L1.

[0060] Based on the above embodiments, the second operating state level determination module 240 can be specifically used to: obtain normalized pressure difference index, normalized unit energy consumption index, normalized vibration rate of change index, normalized temperature rise index, and normalized safety index according to the standard index parameter set and the target calculated index parameter set, through a preset index vector normalization processing method; the formula corresponding to the index weighted calculation and comparison method is: The current comprehensive health score is calculated; among which, Indicates the first weighting coefficient; This represents the normalized differential pressure index; This represents the second weighting coefficient; This represents the normalized unit energy consumption index; This represents the third weighting coefficient; This represents the normalized rate of change of vibration index. This represents the fourth weighting coefficient; This represents the normalized temperature rise index; This represents the fifth weighting coefficient; The system represents a normalized safety index; it obtains preset health score thresholds; wherein the health score thresholds include a first health score threshold, a second health score threshold, and a third health score threshold; the first health score threshold is greater than the second health score threshold; the second health score threshold is greater than the third health score threshold; if the current comprehensive health score is greater than or equal to the first health score threshold, then the second operating state level is determined to be L0; if the current comprehensive health score is less than the first health score threshold and greater than or equal to the second health score threshold, then the second operating state level is determined to be L1; if the current comprehensive health score is less than the second health score threshold and greater than or equal to the third health score threshold, then the second operating state level is determined to be L2; if the current comprehensive health score is less than the third health score threshold, then the second operating state level is determined to be L3.

[0061] Based on the above embodiments, the booster station operation status result determination and feedback module 250 can be specifically used to: if the difference between the first operation status level and the second operation status level is more than one level, then determine that the booster station operation status result corresponding to the target booster station is an abnormal state; if the difference between the first operation status level and the second operation status level is less than or equal to one level, then determine that the booster station operation status result corresponding to the target booster station is a normal state, and enter the early warning and display interface system.

[0062] The device for determining the operating status of a booster station based on a long-distance pipeline provided in this embodiment of the invention can execute the method for determining the operating status of a booster station based on a long-distance pipeline provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0063] Example 3 Figure 3 A schematic diagram of an electronic device 10, which can be used to implement Embodiment 3 of the present invention, is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0064] like Figure 3As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0065] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0066] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the method for determining the operating status of a booster station based on a long-haul pipeline.

[0067] In some embodiments, the method for determining the operating status of a booster station based on a long-distance pipeline can be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for determining the operating status of a booster station based on a long-distance pipeline described above can be performed. Alternatively, in other embodiments, processor 11 can be configured to perform the method for determining the operating status of a booster station based on a long-distance pipeline by any other suitable means (e.g., by means of firmware).

[0068] The method includes: collecting multi-source booster station description data corresponding to the target booster station; wherein the target booster station is a station set up in a long-distance pipeline, and multiple sensor arrays are arranged in the target booster station, each sensor array being used to collect different booster station description data; wherein the multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters; processing the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters respectively through a preset parameter preprocessing method, and combining them with a preset index parameter calculation method to obtain a target calculation index parameter set; acquiring and comparing the target calculation index parameter set with a standard index parameter set, and determining a first operating status level corresponding to the target booster station based on the comparison result; if the first operating status level is determined to meet the conditions for entering the evaluation mechanism, processing and calculating each target calculation index parameter set through a preset index weighted calculation and comparison method to obtain a second operating status level; determining the booster station operating status result corresponding to the target booster station based on the first operating status level and the second operating status level, and feeding back the booster station operating status result to the user.

[0069] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0070] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0071] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0072] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0073] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0074] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0075] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0076] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

[0077] Example 4 Embodiment 4 of the present invention also provides a computer-readable storage medium, wherein the computer-readable instructions, when executed by a computer processor, are used to perform a method for determining the operating status of a booster station based on a long-distance pipeline. The method includes: collecting multi-source booster station description data corresponding to a target booster station; wherein the target booster station is a station set up in the long-distance pipeline, and multiple sensor arrays are arranged in the target booster station, each sensor array being used to collect different booster station description data; wherein the multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters; and using a preset parameter preprocessing method, the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters are respectively preprocessed. The system processes auxiliary system parameters and safety and anomaly parameters, and combines them with a preset indicator parameter calculation method to obtain a target calculation indicator parameter set; it acquires and compares the target calculation indicator parameter set with the standard indicator parameter set, and determines the first operating status level corresponding to the target booster station based on the comparison result; if the first operating status level meets the conditions for entering the evaluation mechanism, it processes and calculates each of the target calculation indicator parameter sets using a preset indicator weighted calculation and comparison method to obtain a second operating status level; based on the first operating status level and the second operating status level, it determines the booster station operating status result corresponding to the target booster station, and feeds back the booster station operating status result to the user.

[0078] Of course, the computer-executable instructions provided in the embodiments of the present invention, which include a computer-readable storage medium, are not limited to the method operations described above, but can also perform related operations in determining the operating status of a booster station based on a long-distance pipeline provided in any embodiment of the present invention.

[0079] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using 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 can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0080] It is worth noting that in the above embodiment of determining the operating status of the booster station based on long-distance pipelines, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0081] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the operating status of a booster station based on a long-distance pipeline, characterized in that, include: Collect descriptive data of the multi-source booster station corresponding to the target booster station; The target booster station is a station set up in a long-distance pipeline. Multiple sensor arrays are arranged in the target booster station, and each sensor array is used to collect different booster station description data. The multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters. By using a preset parameter preprocessing method, the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters are processed respectively, and combined with a preset index parameter calculation method, a target set of calculated index parameters is obtained. Obtain and compare the standard indicator parameter set with the target calculated indicator parameter set, and determine the first operating status level corresponding to the target booster station based on the comparison result; If the first operating state level is determined to meet the conditions for entering the evaluation mechanism, the second operating state level is obtained by processing and calculating the set of target calculation index parameters through a preset index weighted calculation and comparison method. Based on the first operating status level and the second operating status level, the operating status result of the booster station corresponding to the target booster station is determined, and the operating status result of the booster station is fed back to the user.

2. The method according to claim 1, characterized in that, The fluid transport parameters include the current inlet pressure, current outlet pressure, and current instantaneous flow rate; the equipment operating parameters include the current motor current, current voltage, current vibration amplitude, and current bearing temperature; the auxiliary system parameters include the current ambient temperature; and the safety and anomaly parameters include the current leak detection signal. The process involves preprocessing the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters using a pre-defined parameter preprocessing method, and then combining this with a pre-defined index parameter calculation method to obtain a target set of calculated index parameters, including: The three-standard-deviation sub-method in the parameter preprocessing method is used to remove outlier data points that deviate from the mean in the fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and anomaly parameters. The weighted moving average sub-method is used for noise reduction, and spline interpolation is used for interpolation. Through resampling and normalization sub-methods, the preprocessed standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters are obtained. Based on the standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters, the target set of calculated index parameters is obtained through the index parameter calculation method. The standard fluid transport parameters include a first inlet pressure, a first outlet pressure, and a first instantaneous flow rate; the standard equipment operating parameters include a first motor current, a first voltage, a first vibration amplitude, and a first bearing temperature; the standard auxiliary system parameters include a first ambient temperature; and the standard safety and anomaly parameters include a first leak detection signal.

3. The method according to claim 2, characterized in that, The target set of calculated index parameters is obtained by using the index parameter calculation method based on the standard fluid transport parameters, standard equipment operating parameters, standard auxiliary system parameters, and standard safety and anomaly parameters. This set includes: The current pressure difference index is calculated based on the first inlet pressure and the first outlet pressure using the index parameter calculation method. The current unit energy consumption index is calculated based on the first motor current, the first voltage, and the first instantaneous flow rate. Based on the first vibration amplitude, the current vibration change rate index is calculated; The current temperature rise index is calculated based on the temperature of the first bearing and the first ambient temperature. The current safety index is calculated based on the first leak detection signal; Based on the current differential pressure index, the current unit energy consumption index, the current vibration change rate index, the current temperature rise index, and the current safety index, a set of target calculation index parameters is obtained.

4. The method according to claim 3, characterized in that, The set of standard index parameters includes minimum differential pressure threshold, unit energy consumption threshold, vibration rate of change threshold, temperature rise threshold, and safety threshold; The process of acquiring and comparing the standard indicator parameter set with the target calculated indicator parameter set, and determining the first operating state level corresponding to the target booster station based on the comparison result, includes: By using a preset differential pressure comparison method, the current differential pressure index is compared with the minimum differential pressure threshold to obtain the target differential pressure state; Specifically, using the pressure difference comparison method, if the current pressure difference index is determined to be greater than or equal to the minimum pressure difference threshold, then the target pressure difference state is determined to be the first pressure difference state a1; if the current pressure difference index is determined to be less than the first percentage value corresponding to the minimum pressure difference threshold, then the target pressure difference state is determined to be the second pressure difference state a2; if the current pressure difference index is determined to be less than the second percentage value corresponding to the minimum pressure difference threshold, then the target pressure difference state is determined to be the third pressure difference state a3; wherein, the first percentage value is less than the second percentage value. By using a preset unit energy consumption comparison method, the current unit energy consumption index and the unit energy consumption threshold are compared to obtain the target unit energy consumption status. Specifically, using the unit energy consumption comparison method, if the current unit energy consumption index is less than or equal to the unit energy consumption threshold, the target unit energy consumption state is determined to be the first unit energy consumption state b1; if the current unit energy consumption index is less than a preset percentage value corresponding to the unit energy consumption threshold, the target unit energy consumption state is determined to be the second unit energy consumption state b2; if the current unit energy consumption index is greater than or equal to the preset percentage value corresponding to the unit energy consumption threshold, the target unit energy consumption state is determined to be the third unit energy consumption state b3. By using a preset vibration change rate comparison method, the current vibration change rate index and the vibration change rate threshold are compared to obtain the target vibration change rate state; Specifically, using the vibration change rate comparison method, if the current vibration change rate index is less than or equal to the vibration change rate threshold, the target vibration change rate state is determined to be the first vibration change rate state c1; if the current vibration change rate index is less than a preset percentage value corresponding to the vibration change rate threshold, the target vibration change rate state is determined to be the second vibration change rate state c2; and if the current vibration change rate index is greater than or equal to a preset percentage value corresponding to the vibration change rate threshold, the target vibration change rate state is determined to be the third vibration change rate state c3. The target temperature rise state is obtained by comparing the current temperature rise index with the temperature rise threshold using a preset temperature rise comparison method. Specifically, using the temperature rise comparison method, if the current temperature rise index is less than or equal to the temperature rise threshold, the target temperature rise state is determined to be the first temperature rise state d1; if the current temperature rise index is less than a preset percentage value corresponding to the temperature rise threshold, the target temperature rise state is determined to be the second temperature rise state d2; and if the current temperature rise index is greater than or equal to a preset percentage value corresponding to the temperature rise threshold, the target temperature rise state is determined to be the third temperature rise state d3. If the current security index is less than the security threshold, the target security state is determined to be the first security state e1; if the current security index is greater than or equal to the security threshold, the target security state is determined to be the second security state e2. Based on the target differential pressure state, target unit energy consumption state, target vibration change rate state, target temperature rise state, and target safety state, the first operating state level corresponding to the target booster station is determined; Specifically, if a1, b1, c1, d1, and e1 all exist simultaneously, the first operating state level is determined to be L0; if any one of a2, b2, c2, and d2 exists, and a3, b3, c3, and d3 do not exist, the first operating state level is determined to be L1; if any one of a3, b3, c3, d3, and e2 exists, the first operating state level is determined to be L2; if any two or more of a3, b3, c3, d3, and e2 exist, the first operating state level is determined to be L3.

5. The method according to claim 4, characterized in that, After obtaining and comparing the standard indicator parameter set with the target calculated indicator parameter set, and determining the first operating state level corresponding to the target booster station based on the comparison result, the method further includes: If the first operating status level is less than L1, then the first operating status level does not meet the conditions for entering the evaluation mechanism. If the first operating state level is greater than or equal to L1, then the first operating state level is determined to meet the conditions for entering the evaluation mechanism. Among them, L0 is less than L1; L2 and L3 are both greater than L1.

6. The method according to claim 5, characterized in that, The second operating state level is obtained by processing and calculating the parameter sets of each target calculation indicator through a preset weighted calculation and comparison method, including: Based on the set of standard index parameters and the set of target calculated index parameters, the normalized pressure difference index, normalized unit energy consumption index, normalized vibration change rate index, normalized temperature rise index and normalized safety index are obtained through a preset index vector normalization processing method. The formula corresponding to the weighted calculation and comparison method of the aforementioned indicators is: The current comprehensive health score is calculated. in, Indicates the first weighting coefficient; This represents the normalized differential pressure index; This represents the second weighting coefficient; This represents the normalized unit energy consumption index; Indicates the third weighting coefficient; This represents the normalized rate of change of vibration index. This represents the fourth weighting coefficient; This represents the normalized temperature rise index; This represents the fifth weighting coefficient; Indicates normalized safety indicators; Obtain a preset health score threshold; wherein the health score threshold includes a first health score threshold, a second health score threshold, and a third health score threshold; the first health score threshold is greater than the second health score threshold; the second health score threshold is greater than the third health score threshold; If the current comprehensive health score is greater than or equal to the first health score threshold, then the second operating status level is determined to be L0; If the current comprehensive health score is less than the first health score threshold and greater than or equal to the second health score threshold, then the second operating status level is determined to be L1. If the current comprehensive health score is less than the second health score threshold and greater than or equal to the third health score threshold, then the second operating status level is determined to be L2. If the current overall health score is less than the third health score threshold, then the second operating status level is determined to be L3.

7. The method according to claim 6, characterized in that, The step of determining the booster station operating status result corresponding to the target booster station based on the first operating status level and the second operating status level includes: If the difference between the first and second operating status levels is more than one level, then the operating status result of the booster station corresponding to the target booster station is determined to be an abnormal state. If the difference between the first operating status level and the second operating status level is less than or equal to one level, then the operating status result of the booster station corresponding to the target booster station is determined to be normal, and it is entered into the early warning and display interface system.

8. A device for determining the operating status of a booster station based on a long-distance pipeline, characterized in that, include: The multi-source booster station description data acquisition module is used to collect multi-source booster station description data corresponding to the target booster station; The target booster station is a station set up in a long-distance pipeline. Multiple sensor arrays are arranged in the target booster station, and each sensor array is used to collect different booster station description data. The multi-source booster station description data includes fluid transport parameters, equipment operating parameters, auxiliary system parameters, and safety and abnormal parameters. The target calculation index parameter set determination module is used to process the fluid transport parameters, equipment operating parameters, auxiliary system parameters and safety and abnormal parameters respectively through a preset parameter preprocessing method, and combine them with a preset index parameter calculation method to obtain the target calculation index parameter set; The first operating status level determination module is used to acquire and compare the standard index parameter set with the target calculated index parameter set, and determine the first operating status level corresponding to the target booster station based on the comparison result. The second operating status level determination module is used to process and calculate the set of target calculation index parameters through a preset index weighted calculation and comparison method if the first operating status level is determined to meet the conditions for entering the evaluation mechanism, so as to obtain the second operating status level. The booster station operation status result determination and feedback module is used to determine the booster station operation status result corresponding to the target booster station based on the first operation status level and the second operation status level, and to feed back the booster station operation status result to the user.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements a method for determining the operating status of a booster station based on a long-distance pipeline as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute a method for determining the operating status of a booster station based on a long-distance pipeline as described in any one of claims 1-7.

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