Integrated monitoring method for compressed air energy storage compressors

Abstract

The application relates to an integrated monitoring method of a compressed air energy storage compressor, wherein the method comprises the following steps: constructing a compressor model corresponding to a target compressed air energy storage system, and collecting real-time operation data of the target compressed air energy storage system; obtaining specification data corresponding to the target compressed air energy storage system to calculate a surge line expression and a choke line expression of the compressor model; using a preset integrated monitoring unit to perform real-time monitoring on the target compressed air energy storage system according to the surge line expression, the choke line expression and the real-time operation data to obtain a fault signal index, and determining whether the operation state of the target compressed air energy storage system meets a preset safety requirement through the fault signal index, wherein if the operation state does not meet the preset safety requirement, fault information of the target compressed air energy storage system is determined. Therefore, the problems that the existing integrated monitoring system of the compressor is high in cost, the monitoring method is complex, and the system has poor universality are solved.

Description

Technical Field

[0001] This application relates to the field of compressed air energy storage simulation and control technology, and in particular to an integrated monitoring method for compressed air energy storage compressors. Background Technology

[0002] In compressed air energy storage systems, integrated monitoring of compressor safety and efficiency is a crucial aspect of the design and evaluation process. An integrated compressor monitoring system refers to the integration of various monitoring technologies into the compressor system to monitor its operating status, performance parameters, and potential fault symptoms in real time. This system can effectively improve compressor operating efficiency and safety, reduce maintenance costs, and minimize unexpected downtime. Specifically, compressor speed and flow rate are directly related to potential surge and blockage phenomena; simultaneously, compressor speed directly affects core performance indicators such as system pressure ratio and efficiency. Therefore, integrated compressor monitoring is essential for ensuring the safe operation of compressed air energy storage systems.

[0003] Currently, there are two main methods for integrated monitoring of compressors:

[0004] 1. Simple Condition Monitoring. Simple condition monitoring typically refers to monitoring the compressor's basic operating parameters, such as speed, mass flow rate, temperature, and pressure. The main purpose of this monitoring method is to detect whether the compressor is operating within its normal operating range and whether there are any obvious abnormalities. Simple condition monitoring is low-cost, easy to implement, and can promptly identify some obvious faults. It is easy for novice users to understand and operate. However, it cannot deeply diagnose the root cause of faults, nor can it predict potential faults, and its ability to handle complex problems is limited.

[0005] 2. Expert Systems. An expert system is a computer program that simulates the knowledge and judgment of human experts. Through built-in algorithms and a large amount of operational data, it conducts in-depth analysis of the compressor's operating status. It can not only monitor the current status but also predict future operating trends and potential faults. Expert systems can perform in-depth analysis and diagnosis of compressors, predict and prevent potential faults, and improve the compressor's operating efficiency and safety. However, expert systems are costly, technically complex, require a large amount of operational data to support system training, and demand high levels of professional expertise from maintenance personnel.

[0006] In summary, existing integrated monitoring systems for compressors are costly, use complex monitoring methods, and have poor system versatility, which urgently need to be addressed. Summary of the Invention

[0007] This application provides an integrated monitoring method for compressed air energy storage compressors to solve the problems of high cost, complex monitoring methods, and poor system versatility of existing integrated monitoring systems for compressors.

[0008] The first aspect of this application provides an integrated monitoring method for a compressed air energy storage compressor, comprising the following steps: constructing a compressor model corresponding to a target compressed air energy storage system and collecting real-time operating data of the target compressed air energy storage system; obtaining instruction manual data corresponding to the target compressed air energy storage system and calculating surge line and blockage line expressions of the compressor model using the instruction manual data; using a preset integrated monitoring unit to perform real-time monitoring of the target compressed air energy storage system based on the surge line expression, the blockage line expression, and the real-time operating data to obtain fault signal indicators of the target compressed air energy storage system, and determining whether the operating status of the target compressed air energy storage system meets preset safety requirements based on the fault signal indicators, wherein if the operating status does not meet the preset safety requirements, fault information of the target compressed air energy storage system is determined.

[0009] Optionally, in one embodiment of this application, the step of constructing a compressor model corresponding to the target compressed air energy storage system and collecting real-time operating data of the target compressed air energy storage system includes: acquiring the rated mass flow rate, rated speed, rated pressure ratio, adiabatic efficiency, volume, inlet cross-sectional area, and outlet cross-sectional area of ​​the target compressed air energy storage system; using the gas density, outlet gas velocity, and outlet gas temperature of the target compressed air energy storage system as state variables to construct the compressor model based on the state variables, the rated mass flow rate, the rated speed, the rated pressure ratio, the adiabatic efficiency, the volume, the inlet cross-sectional area, and the outlet cross-sectional area; and collecting real-time operating data of the target compressed air energy storage system, wherein the real-time operating data includes the current compressor speed, the current compressor outlet pressure, the current compressor outlet air temperature, and the current compressor mass flow rate.

[0010] Optionally, in one embodiment of this application, the step of obtaining the instruction manual data corresponding to the target compressed air energy storage system and calculating the surge line expression and the blockage line expression of the compressor model using the instruction manual data includes: obtaining the instruction manual data corresponding to the target compressed air energy storage system, wherein the instruction manual data includes at least five surge line points, at least five blockage line points, an upper limit of compressor outlet temperature, a lower limit of compressor outlet temperature, an upper limit of compressor outlet pressure, and a lower limit of compressor outlet pressure; and calculating the surge line expression and the blockage line expression based on the at least five surge line points and the at least five blockage line points.

[0011] Optionally, in one embodiment of this application, the step of using a preset integrated monitoring unit to perform real-time monitoring of the target compressed air energy storage system based on the surge line expression, the blockage line expression, and the real-time operating data to obtain fault signal indicators of the target compressed air energy storage system, and determining whether the operating status of the target compressed air energy storage system meets preset safety requirements through the fault signal indicators, wherein if the operating status does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined, including: determining the surge flow rate and blockage flow rate corresponding to the current compressor speed based on the surge line expression and the blockage line expression, and comparing the surge flow rate, the blockage flow rate, and the current compressor speed. The compressor speed is compared to obtain a first comparison result; the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, and the current compressor outlet air temperature are compared to obtain a second comparison result; the current compressor outlet pressure, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure are compared to obtain a third comparison result; based on the first comparison result, the second comparison result, and the third comparison result, a fault signal index of the target compressed air energy storage system is determined; based on the fault signal index, it is determined whether the operating state meets the preset safety requirements, wherein if the operating state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined according to a preset compressor fault judgment table.

[0012] A second aspect of this application provides an integrated monitoring device for a compressed air energy storage compressor, comprising: a modeling module for constructing a compressor model corresponding to a target compressed air energy storage system and collecting real-time operating data of the target compressed air energy storage system; a calculation module for acquiring instruction manual data corresponding to the target compressed air energy storage system and calculating surge line and blockage line expressions of the compressor model using the instruction manual data; and a monitoring module for using a preset integrated monitoring unit to perform real-time monitoring of the target compressed air energy storage system based on the surge line expression, the blockage line expression, and the real-time operating data to obtain fault signal indicators of the target compressed air energy storage system, and determining whether the operating status of the target compressed air energy storage system meets preset safety requirements based on the fault signal indicators, wherein if the operating status does not meet the preset safety requirements, fault information of the target compressed air energy storage system is determined.

[0013] Optionally, in one embodiment of this application, the modeling module includes: a first acquisition unit, configured to acquire the rated mass flow rate, rated speed, rated pressure ratio, adiabatic efficiency, volume, inlet cross-sectional area, and outlet cross-sectional area of ​​the target compressed air energy storage system; a construction unit, configured to use the gas density, outlet gas velocity, and outlet gas temperature of the target compressed air energy storage system as state variables to construct the compressor model based on the state variables, the rated mass flow rate, the rated speed, the rated pressure ratio, the adiabatic efficiency, the volume, the inlet cross-sectional area, and the outlet cross-sectional area; and a collection unit, configured to collect real-time operating data of the target compressed air energy storage system, wherein the real-time operating data includes the current compressor speed, the current compressor outlet pressure, the current compressor outlet air temperature, and the current compressor mass flow rate.

[0014] Optionally, in one embodiment of this application, the calculation module includes: a second acquisition unit, used to acquire instruction manual data corresponding to the target compressed air energy storage system, wherein the instruction manual data includes at least five surge line points, at least five blockage line points, upper limit of compressor outlet temperature, lower limit of compressor outlet temperature, upper limit of compressor outlet pressure, and lower limit of compressor outlet pressure; and a calculation unit, used to calculate the surge line expression and the blockage line expression based on the at least five surge line points and the at least five blockage line points.

[0015] Optionally, in one embodiment of this application, the monitoring module includes: a comparison unit, configured to determine the surge flow rate and blockage flow rate corresponding to the current compressor speed based on the surge line expression and the blockage line expression, respectively, and compare the surge flow rate, the blockage flow rate, and the current compressor speed to obtain a first comparison result; a first comparison unit, configured to compare the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, and the current compressor outlet air temperature to obtain a second comparison result; a second comparison unit, configured to compare the current compressor outlet pressure, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure to obtain a third comparison result; a determination unit, configured to determine the fault signal index of the target compressed air energy storage system based on the first comparison result, the second comparison result, and the third comparison result; and a judgment unit, configured to determine whether the operating state meets the preset safety requirements based on the fault signal index, wherein if the operating state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined according to a preset compressor fault judgment table.

[0016] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the integrated monitoring method for compressed air energy storage compressors as described in the above embodiments.

[0017] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described integrated monitoring method for compressed air energy storage compressors.

[0018] A fifth aspect of this application provides a computer program product, including a computer program that is executed to implement the above-described integrated monitoring method for compressed air energy storage compressors.

[0019] Therefore, the embodiments of this application have the following beneficial effects:

[0020] The embodiments of this application construct a compressor model corresponding to the target compressed air energy storage system and collect real-time operating data of the target compressed air energy storage system; obtain the instruction manual data corresponding to the target compressed air energy storage system, and calculate the surge line expression and blockage line expression of the compressor model using the instruction manual data; utilize a preset integrated monitoring unit to perform real-time monitoring of the target compressed air energy storage system based on the surge line expression, blockage line expression, and real-time operating data to obtain fault signal indicators of the target compressed air energy storage system, and determine whether the operating status of the target compressed air energy storage system meets preset safety requirements based on the fault signal indicators. If the operating status does not meet the preset safety requirements, fault information of the target compressed air energy storage system is determined. This application reduces the cost of a low-cost integrated monitoring system by monitoring the core state variables of the compressor, eliminating the need for large amounts of operating data and complex algorithms, effectively meeting the needs of large-scale energy storage systems, and contributing to the realization of my country's dual-carbon target strategy. Thus, it solves the problems of high cost, complex monitoring methods, and poor system versatility of existing compressor integrated monitoring systems.

[0021] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0022] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0023] Figure 1 This is a flowchart illustrating an integrated monitoring method for a compressed air energy storage compressor according to an embodiment of this application;

[0024] Figure 2 A schematic diagram of the logical architecture of an integrated monitoring method for a compressed air energy storage compressor provided in one embodiment of this application;

[0025] Figure 3 A schematic diagram of the execution logic of an integrated monitoring method for a compressed air energy storage compressor provided in one embodiment of this application;

[0026] Figure 4 This is an example diagram of an integrated monitoring device for a compressed air energy storage compressor according to an embodiment of this application;

[0027] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0028] Among them, 10-integrated monitoring device for compressed air energy storage compressor; 100-modeling module, 200-computing module, 300-monitoring module; 501-memory, 502-processor, 503-communication interface. Detailed Implementation

[0029] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0030] The integrated monitoring method for a compressed air energy storage compressor according to embodiments of this application is described below with reference to the accompanying drawings. Addressing the problems mentioned in the background section, this application provides an integrated monitoring method for a compressed air energy storage compressor. In this method, a compressor model corresponding to a target compressed air energy storage system is constructed, and real-time operating data of the target compressed air energy storage system is collected. The instruction manual data corresponding to the target compressed air energy storage system is obtained, and the surge line expression and blockage line expression of the compressor model are calculated using the instruction manual data. A preset integrated monitoring unit is used to perform real-time monitoring of the target compressed air energy storage system based on the surge line expression, blockage line expression, and real-time operating data to obtain fault signal indicators of the target compressed air energy storage system. The fault signal indicators are then used to determine whether the operating state of the target compressed air energy storage system meets preset safety requirements. If the operating state does not meet the preset safety requirements, fault information of the target compressed air energy storage system is determined. This application, by monitoring the core state variables of the compressor, reduces the cost of a low-cost integrated monitoring system, eliminates the need for large amounts of operating data and complex algorithms, effectively meets the needs of large-scale energy storage systems, and contributes to achieving my country's dual-carbon strategy. This solves the problems of high cost, complex monitoring methods, and poor system versatility of existing integrated monitoring systems for compressors.

[0031] To facilitate understanding of the execution process of the integrated monitoring method for compressed air energy storage compressors in this application, the following describes the premises and assumptions involved in achieving integrated monitoring in this application.

[0032] In modern advanced adiabatic compressed air energy storage systems, a common design employs multi-stage compressors to progressively increase gas pressure. Each compressor is driven by an independent motor, and these compressors are connected sequentially via pipelines to form a continuous compression process. To simplify the analysis, this application makes the following assumptions:

[0033] First, the gas inside the compressor is considered to be uniformly distributed, and the lumped parameter method is used for modeling.

[0034] Second, the compression process is considered an adiabatic process, with no heat exchange.

[0035] Third, the adiabatic compression efficiency of the compressor is set to 0.8;

[0036] Fourth, the force exerted by the compressor impeller on the gas remains constant during startup and stable operation;

[0037] Fifth, since the startup process is transient, it is assumed that the heat exchanger does not function during the startup phase, and therefore the influence of the heat exchanger is not considered.

[0038] Based on the above assumptions, the integrated monitoring of the compressed air energy storage compressor of this application can be realized.

[0039] Specifically, Figure 1 A flowchart illustrating an integrated monitoring method for a compressed air energy storage compressor provided in this application embodiment.

[0040] like Figure 1 As shown, the integrated monitoring method for the compressed air energy storage compressor includes the following steps:

[0041] In step S101, a compressor model corresponding to the target compressed air energy storage system is constructed, and real-time operating data of the target compressed air energy storage system is collected.

[0042] The embodiments of this application first construct a compressor model corresponding to the compressed air energy storage system according to relevant instructions, and then use sensors to collect real-time operating data of the compressor.

[0043] Optionally, in one embodiment of this application, a compressor model corresponding to the target compressed air energy storage system is constructed, and real-time operating data of the target compressed air energy storage system is collected, including: obtaining the rated mass flow rate, rated speed, rated pressure ratio, adiabatic efficiency, volume, inlet cross-sectional area, and outlet cross-sectional area of ​​the target compressed air energy storage system; using the gas density, outlet gas velocity, and outlet gas temperature of the target compressed air energy storage system as state variables, and constructing a compressor model based on the state variables, rated mass flow rate, rated speed, rated pressure ratio, adiabatic efficiency, volume, inlet cross-sectional area, and outlet cross-sectional area; and collecting real-time operating data of the target compressed air energy storage system, wherein the real-time operating data includes the current compressor speed, current compressor outlet pressure, current compressor outlet air temperature, and current compressor mass flow rate.

[0044] It should be noted that the embodiments of this application first need to determine the compressor model in the compressed air energy storage system, that is, the object being monitored. The compressor modeling process is as follows:

[0045] This application requires obtaining relevant parameters of the compressed air energy storage system, such as the rated mass flow rate q of the compressor. m,0 The compressor's rated speed n0, rated pressure ratio ε0, adiabatic efficiency η0, volume V, and inlet cross-sectional area A are all specified. in The compressor's outlet cross-sectional area A out .

[0046] Secondly, in the embodiments of this application, the gas density ρ inside the compressor and the velocity c of the outlet gas can be selected. out Temperature T of the outlet gas out The compressor is modeled as a state variable using the following formula:

[0047]

[0048]

[0049]

[0050] In the formula, q m The mass flow rate of the compressor is represented by ρ; pressure is represented by τ; time is represented by h; the specific enthalpy of the gas is represented by W; and the work done by the electric motor is represented by c. p is the specific heat capacity; in the subscript "in" indicates the inlet; out the subscript "out" indicates the outlet; where W is as shown in the following formula:

[0051]

[0052] Furthermore, embodiments of this application can perform variable operating condition correction on the compressor, and the specific correction expression is as follows:

[0053]

[0054]

[0055]

[0056]

[0057]

[0058]

[0059]

[0060]

[0061]

[0062] In this model, the superscript · indicates the converted variable; ε represents the pressure ratio; η represents the adiabatic compression efficiency; G represents the converted mass flow rate; N represents the converted rotational speed; c1, c2, c3, and c4 are intermediate parameters, with c4 taking the value 0.8 and q and m taking the value 1.8, thus completing the compressor model construction.

[0063] It should be noted that modern compressed air energy storage systems often employ multi-stage compression designs to gradually increase gas pressure. For multi-stage compression, in actual implementation, the embodiments of this application can assume that the outlet parameters of each stage compressor (such as outlet pressure, outlet temperature, and flow rate) are used as the inlet conditions for the next stage compressor during calculation; during model construction, the state variable P of the i-th stage compressor... out,i T out,i and The following relationship must be satisfied:

[0064] P in,i+1 =P out,i ,T in,i+1 =T out,i ,

[0065] For each stage of the compressor, the embodiments of this application can be modeled step by step according to the above formula, until the last stage.

[0066] Subsequently, embodiments of this application also require the use of suitable sensors to collect data from the compressor model, and the collected data will be recorded in the following format: current compressor speed n rt The current compressor outlet pressure is p. rt The current compressor outlet air temperature is T. out,rt The current compressor mass flow rate is q. m,in,rt The subscript rt indicates real time, i.e., real-time data.

[0067] Therefore, the embodiments of this application construct a compressor model and collect real-time operating data of the compressed air energy storage system, thereby providing reliable data and technical support for the subsequent integrated monitoring of the compressed air energy storage compressor.

[0068] In step S102, the instruction manual data corresponding to the target compressed air energy storage system is obtained, and the surge line expression and blockage line expression of the compressor model are calculated using the instruction manual data.

[0069] Furthermore, embodiments of this application also require setting the data for the integrated monitoring module of the target compressed air energy storage system according to the data in the instruction manual provided by the compressor manufacturer and the above formula, and transmitting the target compressor information (i.e., real-time operating data) collected by the sensors to the integrated monitoring module, such as... Figure 2 As shown, the surge line and blockage line expressions of the compressor model are calculated based on the data in the instruction manual, etc.

[0070] Optionally, in one embodiment of this application, obtaining the specification data corresponding to the target compressed air energy storage system and calculating the surge line expression and blockage line expression of the compressor model using the specification data includes: obtaining the specification data corresponding to the target compressed air energy storage system, wherein the specification data includes at least five surge line points, at least five blockage line points, upper limit of compressor outlet temperature, lower limit of compressor outlet temperature, upper limit of compressor outlet pressure, and lower limit of compressor outlet pressure; and calculating the surge line expression and blockage line expression based on the at least five surge line points and at least five blockage line points.

[0071] In actual implementation, this application embodiment can refer to the manufacturer's manual for the corresponding compressor model to obtain at least five points on the surge line, denoted as (n1, q). m,surge1 ),(n2,q m,surge2 ),(n3,q m,surge3 ),(n4,q m,surge4 ),(n5,q m,surge5 At least five points on the blocking line, denoted as (n6, q). m,choke6 ),(n7,q m,choke7 ),(n8,q m,choke8 ),(n9,q m,choke9 ),(n 10 ,q m,choke10 ); Upper limit of compressor outlet temperature T out,max Compressor outlet temperature lower limit T out,min ; Compressor outlet pressure upper limit p max Compressor outlet pressure lower limit p min The surge line expression is obtained using the above parameters, as shown in the following equation:

[0072]

[0073] Similarly, in this embodiment, the blocking line expression also needs to be determined based on the above parameters, as shown in the following formula:

[0074]

[0075] After obtaining the above-mentioned relationships between surge flow rate and blockage flow rate with respect to rotational speed (i.e., surge line expression and blockage line expression), the embodiments of this application can make the surge line q m,surge (n), blocking line q m,choke (n), Upper limit of compressor outlet temperature T out,max compressor outlet temperature lower limit T out,min upper limit of compressor outlet pressure p max Compressor outlet pressure lower limit p min All data is stored in the integrated monitoring module, thus completing the data setup for the integrated monitoring module.

[0076] Therefore, this application embodiment constructs expressions for the surge line and the blockage line by utilizing the points on the five surge lines and five blockage lines selected in the specification. Thus, for the given compressor model, relying on a smaller number of sensors and specification information, it is possible to monitor the compressor's operating status more accurately with lower cost and less data.

[0077] In step S103, the target compressed air energy storage system is monitored in real time using a preset integrated monitoring unit based on the surge line expression, the blockage line expression, and real-time operating data to obtain the fault signal index of the target compressed air energy storage system. The operating status of the target compressed air energy storage system is then determined based on the fault signal index to see if it meets the preset safety requirements. If the operating status does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined.

[0078] Furthermore, embodiments of this application also require real-time monitoring of the compressor via an integrated monitoring module (i.e., an integrated monitoring unit), such as... Figure 3 As shown, the current operating status of the compressor is determined based on the changes in different indices (i.e., whether the current operating status of the compressor meets the preset safety requirements). If a fault occurs, i.e. the operating status does not meet the preset safety requirements, the specific fault type is determined.

[0079] Optionally, in one embodiment of this application, a preset integrated monitoring unit is used to monitor the target compressed air energy storage system in real time based on the surge line expression, the blockage line expression, and real-time operating data to obtain fault signal indicators of the target compressed air energy storage system. The fault signal indicators are then used to determine whether the operating status of the target compressed air energy storage system meets preset safety requirements. If the operating status does not meet the preset safety requirements, fault information of the target compressed air energy storage system is determined, including: based on the surge line expression and the blockage line expression, determining the surge flow rate and the blockage flow rate corresponding to the current compressor speed, and comparing the surge flow rate, the blockage flow rate, and the current compressor speed. The compressor speed is measured to obtain a first comparison result; the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, and the current compressor outlet air temperature are compared to obtain a second comparison result; the current compressor outlet pressure, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure are compared to obtain a third comparison result; based on the first, second, and third comparison results, the fault signal indicators of the target compressed air energy storage system are determined; based on the fault signal indicators, it is determined whether the operating status meets the preset safety requirements. If the operating status does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined according to the preset compressor fault judgment table.

[0080] In the specific implementation process, the embodiments of this application need to use the current compressor speed n of the compressor model collected by the sensor. rt Current compressor outlet pressure p rt Current compressor outlet air temperature T out,rt and the current compressor mass flow rate q m,in,rt Real-time operating data is uploaded to the integrated monitoring module, and based on the surge line expression and the blockage line expression, the surge flow rate and blockage flow rate corresponding to the current compressor speed are determined respectively.

[0081] Secondly, the embodiments of this application also require the following determination of the compressor's operating status:

[0082] 1. Compare surge flow rate, blockage flow rate, and current compressor speed. If q m,surge (n rt ) m,in,rt m,choke (n rt (i.e., the first comparison result), then record q. index =0, otherwise q index =1;

[0083] 2. Compare the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, and the current compressor outlet air temperature. If T out,min <T out,rt <T out,max (i.e., the second comparison result), then record T. index =0, otherwise T index =1;

[0084] 3. Compare the current compressor outlet pressure, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure. If p min <p rt <p max (i.e., the third comparison result), then record p. index =0, otherwise p index =1.

[0085] It should be noted that the above q m,surge (n rt ),q m,choke (n rt The surge flow and blockage flow at real-time rotational speed are calculated using the following formulas:

[0086]

[0087]

[0088] The above q is obtained index ,T index ,p index After considering the three indices, the fault signal indicator "Error" can be determined. index The mathematical expression is shown below:

[0089] Error index =q index ∨T index ∨p index (20)

[0090] Where ∨ represents the OR operation in logical operations, when Error​​index When Error = 0, it indicates that the compressor is not currently malfunctioning; when Error = 0, it indicates that the compressor is not malfunctioning. index When the value is 1, it indicates that the compressor has malfunctioned. The specific compressor malfunction judgment table is as follows:

[0091] Table 1

[0092]

[0093]

[0094] According to the table above, the embodiments of this application can determine the status of the compressor; at the same time, the embodiments of this application can also extend the multi-dimensional status monitoring of the compressor.

[0095] Specifically, the implementation of this application can increase the monitoring of mechanical vibration of the compressor to diagnose abnormalities in mechanical components such as bearings and impellers. Acceleration sensors are installed on key components (such as bearings and housings) and the vibration frequency and amplitude are recorded.

[0096] The embodiments of this application can utilize Fourier transform to analyze spectral characteristics and identify fault characteristic frequencies, as shown in the following formula:

[0097]

[0098] Among them, f rotor Let be the rotor frequency, and d and D be the defect size and rotor diameter, respectively.

[0099] Secondly, embodiments of this application can also utilize acoustic sensors to collect noise signals during the compressor's operation in real time, identify potential faults, and extract the energy spectrum of the acoustic signals to determine if there are abnormal spikes; furthermore, embodiments of this application can combine machine learning models (such as support vector machines) to classify noise features in order to detect specific types of faults.

[0100] Finally, embodiments of this application can monitor the quality of lubricating oil in real time to detect changes in the concentration or viscosity of metal particles in the lubricating oil and determine the wear condition. Furthermore, embodiments of this application can also use an optical sensor to monitor the refractive index of the lubricating oil to determine the contamination level. Embodiments of this application can also combine a particle analyzer to count the number and size of metal particles in real time to determine the compressor status.

[0101] Furthermore, for energy storage systems consisting of multiple compressors, embodiments of this application can assess the health status of the compressor cluster using clustering and classification techniques.

[0102] Specifically, embodiments of this application can first utilize K-Means clustering, based on multidimensional parameters (such as n, P) out ,T out , Compressors with similar operating conditions are grouped into the same category, and the cluster centers represent the health status:

[0103]

[0104] Among them, c i Let be the cluster center of the i-th class.

[0105] Secondly, embodiments of this application can assign a health score HI to each compressor based on the clustering results, as shown in the following formula:

[0106]

[0107] The closer the HI value is to 1, the better the health status.

[0108] Finally, embodiments of this application can utilize Internet of Things (IoT) technology to push big data analysis results to a remote monitoring platform, dynamically displaying trend charts and abnormal alarms of compressor operating parameters, and sending alarm information including predicted fault types and occurrence times to maintenance personnel; at the same time, embodiments of this application can also generate maintenance suggestions based on historical data analysis, such as replacing a specific component or adjusting operating parameters.

[0109] Therefore, the embodiments of this application can determine the type of fault information through the integrated monitoring module, so as to facilitate the subsequent maintenance of the compressor, and use 0 and 1 identifiers to describe the fault, which is conducive to the subsequent development of a unified information interface and extension program.

[0110] The integrated monitoring method for compressed air energy storage compressors proposed in this application involves constructing a compressor model corresponding to a target compressed air energy storage system and collecting real-time operating data of the target compressed air energy storage system. It also involves obtaining the instruction manual data corresponding to the target compressed air energy storage system and calculating the surge line and blockage line expressions of the compressor model using the instruction manual data. A preset integrated monitoring unit is then used to monitor the target compressed air energy storage system in real time based on the surge line expression, blockage line expression, and real-time operating data to obtain fault signal indicators of the target compressed air energy storage system. These fault signal indicators are then used to determine whether the operating status of the target compressed air energy storage system meets preset safety requirements. If the operating status does not meet the preset safety requirements, fault information of the target compressed air energy storage system is determined. This application reduces the cost of a low-cost integrated monitoring system by monitoring the core state variables of the compressor, eliminating the need for large amounts of operating data and complex algorithms, effectively meeting the needs of large-scale energy storage systems, and contributing to the realization of my country's dual-carbon strategy.

[0111] Secondly, the integrated monitoring device for a compressed air energy storage compressor according to an embodiment of this application is described with reference to the accompanying drawings.

[0112] Figure 4 This is a block diagram of an integrated monitoring device for a compressed air energy storage compressor according to an embodiment of this application.

[0113] like Figure 4 As shown, the integrated monitoring device 10 for the compressed air energy storage compressor includes: a modeling module 100, a calculation module 200, and a monitoring module 300.

[0114] The modeling module 100 is used to construct a compressor model corresponding to the target compressed air energy storage system and to collect real-time operating data of the target compressed air energy storage system.

[0115] The calculation module 200 is used to obtain the instruction manual data corresponding to the target compressed air energy storage system, and to calculate the surge line expression and blockage line expression of the compressor model using the instruction manual data.

[0116] The monitoring module 300 is used to monitor the target compressed air energy storage system in real time using a preset integrated monitoring unit based on the surge line expression, the blockage line expression and real-time operating data, so as to obtain the fault signal indicators of the target compressed air energy storage system, and determine whether the operating status of the target compressed air energy storage system meets the preset safety requirements through the fault signal indicators. If the operating status does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined.

[0117] Optionally, in one embodiment of this application, the modeling module 100 includes: a first acquisition unit, a construction unit, and a collection unit.

[0118] The first acquisition unit is used to acquire the rated mass flow rate, rated speed, rated pressure ratio, adiabatic efficiency, volume, inlet cross-sectional area, and outlet cross-sectional area of ​​the target compressed air energy storage system.

[0119] The building unit is used to construct a compressor model based on the gas density, outlet gas velocity, and outlet gas temperature of the target compressed air energy storage system as state variables, and on the state variables, rated mass flow rate, rated speed, rated pressure ratio, adiabatic efficiency, volume, inlet cross-sectional area, and outlet cross-sectional area.

[0120] The acquisition unit is used to acquire real-time operating data of the target compressed air energy storage system. The real-time operating data includes the current compressor speed, current compressor outlet pressure, current compressor outlet air temperature, and current compressor mass flow rate.

[0121] Optionally, in one embodiment of this application, the calculation module 200 includes a second acquisition unit and a calculation unit.

[0122] The second acquisition unit is used to acquire instruction manual data corresponding to the target compressed air energy storage system. The instruction manual data includes at least five surge points, at least five blockage points, upper limit of compressor outlet temperature, lower limit of compressor outlet temperature, upper limit of compressor outlet pressure, and lower limit of compressor outlet pressure.

[0123] The computation unit is used to calculate the surge line expression and the blockage line expression based on at least five surge line points and at least five blockage line points.

[0124] Optionally, in one embodiment of this application, the monitoring module 300 includes: a comparison unit, a first comparison unit, a second comparison unit, a determination unit, and a judgment unit.

[0125] The comparison unit is used to determine the surge flow rate and blockage flow rate corresponding to the current compressor speed based on the surge line expression and the blockage line expression, respectively, and compare the surge flow rate, blockage flow rate and the current compressor speed to obtain the first comparison result.

[0126] The first comparison unit is used to compare the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, and the current compressor outlet air temperature to obtain the second comparison result.

[0127] The second comparison unit is used to compare the current compressor outlet pressure, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure to obtain the third comparison result.

[0128] The determination unit is used to determine the fault signal indicators of the target compressed air energy storage system based on the first comparison result, the second comparison result, and the third comparison result.

[0129] The judgment unit is used to determine whether the operating status meets the preset safety requirements based on the fault signal indicators. If the operating status does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined according to the preset compressor fault judgment table.

[0130] It should be noted that the explanation of the above-mentioned integrated monitoring method embodiment for compressed air energy storage compressor also applies to the integrated monitoring device for compressed air energy storage compressor in this embodiment, and will not be repeated here.

[0131] The integrated monitoring device for compressed air energy storage compressors proposed in this application includes a modeling module for constructing a compressor model corresponding to a target compressed air energy storage system and collecting real-time operating data of the target compressed air energy storage system; a calculation module for acquiring instruction manual data corresponding to the target compressed air energy storage system and calculating the surge line expression and blockage line expression of the compressor model using the instruction manual data; and a monitoring module for using a preset integrated monitoring unit to perform real-time monitoring of the target compressed air energy storage system based on the surge line expression, blockage line expression, and real-time operating data to obtain fault signal indicators of the target compressed air energy storage system, and judging whether the operating status of the target compressed air energy storage system meets preset safety requirements based on the fault signal indicators. If the operating status does not meet the preset safety requirements, fault information of the target compressed air energy storage system is determined. This application reduces the cost of a low-cost integrated monitoring system by monitoring the core state variables of the compressor, eliminating the need for large amounts of operating data and complex algorithms, effectively meeting the needs of large-scale energy storage systems, and contributing to the realization of my country's dual-carbon strategy.

[0132] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0133] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0134] When the processor 502 executes the program, it implements the integrated monitoring method for the compressed air energy storage compressor provided in the above embodiments.

[0135] Furthermore, electronic devices also include:

[0136] Communication interface 503 is used for communication between memory 501 and processor 502.

[0137] The memory 501 is used to store computer programs that can run on the processor 502.

[0138] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0139] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0140] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0141] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0142] This application also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described integrated monitoring method for compressed air energy storage compressors.

[0143] This application also provides a computer program product, including a computer program, which, when executed, is used to implement the above-described integrated monitoring method for compressed air energy storage compressors.

[0144] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0145] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0146] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0147] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0148] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0149] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0150] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0151] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. An integrated monitoring method of a compressed air energy storage compressor, characterized in that, The method comprises the following steps: constructing a compressor model corresponding to a target compressed air energy storage system, and collecting real-time operation data of the target compressed air energy storage system; obtaining specification data corresponding to the target compressed air energy storage system, and calculating a surge line expression and a choke line expression of the compressor model through the specification data; using a preset integrated monitoring unit to perform real-time monitoring on the target compressed air energy storage system according to the surge line expression, the choke line expression and the real-time operation data, to obtain a fault signal indicator of the target compressed air energy storage system, and judging whether an operation state of the target compressed air energy storage system meets a preset safety requirement through the fault signal indicator, wherein if the operation state does not meet the preset safety requirement, fault information of the target compressed air energy storage system is determined; wherein the using a preset integrated monitoring unit to perform real-time monitoring on the target compressed air energy storage system according to the surge line expression, the choke line expression and the real-time operation data, to obtain a fault signal indicator of the target compressed air energy storage system, and judging whether an operation state of the target compressed air energy storage system meets a preset safety requirement through the fault signal indicator, wherein if the operation state does not meet the preset safety requirement, fault information of the target compressed air energy storage system is determined, comprises: determining a surge flow rate and a choke flow rate corresponding to a current compressor speed based on the surge line expression and the choke line expression, and comparing the surge flow rate, the choke flow rate and the current compressor speed to obtain a first comparison result; comparing a compressor outlet temperature upper limit, a compressor outlet temperature lower limit and a current compressor outlet air temperature to obtain a second comparison result; comparing a current compressor outlet pressure, a compressor outlet pressure upper limit and a compressor outlet pressure lower limit to obtain a third comparison result; determining a fault signal indicator of the target compressed air energy storage system according to the first comparison result, the second comparison result and the third comparison result; judging whether the operation state meets the preset safety requirement based on the fault signal indicator, wherein if the operation state does not meet the preset safety requirement, determining fault information of the target compressed air energy storage system according to a preset compressor fault judgment table.

2. The method of claim 1, wherein, The constructing a compressor model corresponding to a target compressed air energy storage system, and collecting real-time operation data of the target compressed air energy storage system, comprises: obtaining a rated mass flow rate, a rated speed, a rated pressure ratio, an adiabatic efficiency, a volume, an inlet cross-sectional area and an outlet cross-sectional area of the target compressed air energy storage system; taking gas density, outlet gas velocity and outlet gas temperature of the target compressed air energy storage system as state variables to construct the compressor model according to the state variables, the rated mass flow rate, the rated speed, the rated pressure ratio, the adiabatic efficiency, the volume, the inlet cross-sectional area and the outlet cross-sectional area. Collect real-time operation data of the target compressed air energy storage system, wherein the real-time operation data includes current compressor speed, current compressor outlet pressure, current compressor outlet air temperature and current compressor mass flow rate.

3. The method of claim 2, wherein, The specification data corresponding to the target compressed air energy storage system is obtained, and the surge line expression and the choke line expression of the compressor model are calculated based on the specification data, including: Obtaining specification data corresponding to the target compressed air energy storage system, wherein the specification data includes at least five surge line points, at least five choke line points, compressor outlet temperature upper limit, compressor outlet temperature lower limit, compressor outlet pressure upper limit and compressor outlet pressure lower limit; Based on the at least five surge line points and the at least five choke line points, the surge line expression and the choke line expression are calculated.

4. An integrated monitoring device for compressed air energy storage compressors, characterized by, Including: The modeling module is used to construct the compressor model corresponding to the target compressed air energy storage system, and collect the real-time operation data of the target compressed air energy storage system; The calculation module is used to obtain the specification data corresponding to the target compressed air energy storage system, and calculate the surge line expression and the choke line expression of the compressor model based on the specification data; The monitoring module is used to monitor the target compressed air energy storage system in real time according to the surge line expression, the choke line expression and the real-time operation data by using a preset integrated monitoring unit, to obtain a fault signal indicator of the target compressed air energy storage system, and determine whether the running state of the target compressed air energy storage system meets a preset safety requirement through the fault signal indicator, wherein if the running state does not meet the preset safety requirement, the fault information of the target compressed air energy storage system is determined; The monitoring module includes: The comparison unit is used to determine the surge flow rate and the choke flow rate corresponding to the current compressor speed based on the surge line expression and the choke line expression, and compare the surge flow rate, the choke flow rate and the current compressor speed to obtain a first comparison result; The first comparison unit is used to compare the compressor outlet temperature upper limit, the compressor outlet temperature lower limit and the current compressor outlet air temperature to obtain a second comparison result; The second comparison unit is used to compare the current compressor outlet pressure, the compressor outlet pressure upper limit and the compressor outlet pressure lower limit to obtain a third comparison result; The determination unit is used to determine the fault signal indicator of the target compressed air energy storage system according to the first comparison result, the second comparison result and the third comparison result; The judgment unit is used to determine whether the running state meets the preset safety requirement based on the fault signal indicator, wherein if the running state does not meet the preset safety requirement, the fault information of the target compressed air energy storage system is determined according to a preset compressor fault judgment table.

5. The apparatus of claim 4, wherein, The modeling module includes: The first acquisition unit is used to acquire the rated mass flow rate, the rated speed, the rated pressure ratio, the adiabatic efficiency, the volume, the inlet cross-sectional area and the outlet cross-sectional area of the target compressed air energy storage system; The construction unit is configured to take the gas density, the outlet gas velocity and the outlet gas temperature of the target compressed air energy storage system as state variables, and to construct the compressor model according to the state variables, the rated mass flow rate, the rated rotating speed, the rated pressure ratio, the adiabatic efficiency, the volume, the inlet cross-sectional area and the outlet cross-sectional area. The acquisition unit is configured to acquire real-time operation data of the target compressed air energy storage system, wherein the real-time operation data comprises a current compressor rotating speed, a current compressor outlet pressure, a current compressor outlet air temperature and a current compressor mass flow rate.

6. The apparatus of claim 5, wherein, The calculation module comprises: The second acquisition unit is configured to acquire specification data corresponding to the target compressed air energy storage system, wherein the specification data comprises at least five surge line points, at least five choke line points, a compressor outlet temperature upper limit, a compressor outlet temperature lower limit, a compressor outlet pressure upper limit and a compressor outlet pressure lower limit. The operation unit is configured to calculate the surge line expression and the choke line expression based on the at least five surge line points and the at least five choke line points.

7. An electronic device, comprising: The computer program is executed by the processor to implement the integrated monitoring method of the compressed air energy storage compressor according to any one of claims 1-3. The computer program is executed by the processor to implement the integrated monitoring method of the compressed air energy storage compressor according to any one of claims 1-3.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the integrated monitoring method of the compressed air energy storage compressor according to any one of claims 1-3.

9. A computer program product comprising a computer program, characterized in that, ​

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