Integrated monitoring method of compressed air energy storage compressor

Abstract

The invention relates to an integrated monitoring method for a compressed air energy storage compressor, and the method comprises the steps: constructing a compressor model corresponding to a target compressed air energy storage system, and collecting the 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 blocking line expression of the compressor model; a preset integrated monitoring unit is used for monitoring the target compressed air energy storage system in real time according to the surge line expression, the blocking line expression and the real-time operation data so as to obtain a fault signal index, and whether the operation state of the target compressed air energy storage system meets preset safety requirements or not is judged according to the fault signal index, and if the running state does not meet the preset safety requirement, fault information of the target compressed air energy storage system is determined. Therefore, the problems that an existing integrated monitoring system of the compressor is high in cost, complex in monitoring method, poor in system universality and the like are solved.

Description

Technical Field

[0001] The present application relates to the technical field of compressed air energy storage simulation control, and in particular to an integrated monitoring method for a compressed air energy storage compressor. Background Art

[0002] In compressed air energy storage systems, integrated monitoring of the safety and effectiveness of the compressor is a key link in the design and evaluation process. The integrated monitoring system of the compressor refers to the integration of various monitoring technologies into the compressor system to monitor the operating status, performance parameters and potential fault signs of the compressor in real time. The system can effectively improve the operating efficiency and safety of the compressor, reduce maintenance costs, and reduce the time of unexpected downtime. Among them, the speed and flow of the compressor are directly related to possible surge blockage phenomena; at the same time, the speed of the compressor directly affects the core performance indicators of the system such as the pressure ratio and efficiency. Therefore, integrated monitoring of the compressor is crucial to ensure the safe operation of the compressed air energy storage system.

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

[0004] 1. Simple status monitoring. Simple status monitoring usually refers to monitoring the basic operating parameters of the compressor, such as speed, mass flow rate, temperature, pressure, etc. The main purpose of this monitoring method is to detect whether the compressor is operating within the normal working range and whether there are obvious abnormal conditions. Simple status monitoring has low cost and is simple to implement. It can detect some obvious fault problems in time and is easy to understand and operate for novice users. However, it cannot deeply diagnose the root cause of the fault, nor can it predict potential faults, and its ability to handle complex problems is limited.

[0005] 2. Expert system. An expert system is a computer program that simulates the knowledge and judgment of human experts. It uses built-in algorithms and a large amount of operating data to conduct in-depth analysis of the operating status of the compressor. It can not only monitor the current status, but also predict future operating trends and potential failures. The expert system can conduct in-depth analysis and diagnosis of the compressor, predict and prevent potential failures, and improve the operating efficiency and safety of the compressor. However, the expert system is expensive, has complex technical requirements, requires a large amount of operating data to support system training, and has high requirements on the professional quality of maintenance personnel.

[0006] In summary, the existing integrated monitoring system for compressors has high costs, complex monitoring methods, and poor system versatility, which urgently need to be solved. Summary of the invention

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

[0008] In a first aspect embodiment of the present application, an integrated monitoring method for a compressed air energy storage compressor is provided, including 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 instruction 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 instruction 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, so as to obtain a fault signal index of the target compressed air energy storage system, and judging 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, the fault information of the target compressed air energy storage system is determined.

[0009] Optionally, in an embodiment of the present application, 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 includes: 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, so as 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; collecting real-time operation data of the target compressed air energy storage system, wherein the real-time operation 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 an embodiment of the present application, the obtaining instruction 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 instruction data includes: obtaining instruction data corresponding to the target compressed air energy storage system, wherein the instruction data includes at least five surge line points, at least five choke line points, an upper limit of the compressor outlet temperature, a lower limit of the compressor outlet temperature, an upper limit of the compressor outlet pressure, and a lower limit of the compressor outlet pressure; calculating 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.

[0011] Optionally, in an embodiment of the present application, the preset integrated monitoring unit is used 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, so as to obtain the fault signal index of the target compressed air energy storage system, and determine whether the operation state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index. Wherein, if the operation state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined, including: based on the surge line expression and the choke line expression, respectively determining the surge flow rate and the choke flow rate corresponding to the current compressor speed, and comparing the surge flow rate, the choke flow rate, and the current compressor speed to obtain a first comparison result; comparing 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; comparing 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; determining the fault signal index of the target compressed air energy storage system according to the first comparison result, the second comparison result, and the third comparison result; based on the fault signal index, determining whether the operation state meets the preset safety requirements. Wherein, if the operation state 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.

[0012] An embodiment of the second aspect of the present application provides an integrated monitoring device for a compressed air energy storage compressor, including: a modeling module, configured to construct a compressor model corresponding to a target compressed air energy storage system, and collect real-time operation data of the target compressed air energy storage system; a calculation module, configured 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 through the specification data; a monitoring module, configured to use 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, so as to obtain the fault signal index of the target compressed air energy storage system, and determine whether the operation state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index. Wherein, if the operation state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined.

[0013] Optionally, in an embodiment of the present application, the modeling module includes: a first acquisition unit configured to acquire the rated mass flow rate, rated rotational 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 according to the state variables, the rated mass flow rate, the rated rotational 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 the real-time operation data of the target compressed air energy storage system, where the real-time operation data includes the current compressor rotational speed, the current compressor outlet pressure, the current compressor outlet air temperature, and the current compressor mass flow rate.

[0014] Optionally, in an embodiment of the present application, the calculation module includes: a second acquisition unit configured to acquire the specification data corresponding to the target compressed air energy storage system, where the specification data includes at least five surge line points, at least five choke line points, the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure; and an operation unit 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.

[0015] Optionally, in an embodiment of the present application, the monitoring module includes: a comparison unit configured to respectively determine the surge flow rate and the choke flow rate corresponding to the current compressor rotational 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 rotational 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 according to the first comparison result, the second comparison result, and the third comparison result; and a judgment unit configured to judge whether the operation state meets the preset safety requirements based on the fault signal index, where if the operation 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 embodiment of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the integrated monitoring method of the compressed air energy storage compressor as described in the above embodiments.

[0017] A fourth aspect embodiment of the present application provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the integrated monitoring method of the compressed air energy storage compressor as above.

[0018] A fifth aspect embodiment of the present application provides a computer program product including a computer program, where the computer program is executed to implement the integrated monitoring method of the compressed air energy storage compressor as above.

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

[0020] The embodiments of the present application can build a 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; 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 through the specification data; use 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 the fault signal index of the target compressed air energy storage system, and determine whether the operation state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index. Among them, if the operation state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined. The present application monitors the core state variables of the compressor, thereby reducing the cost of the integrated monitoring system, without the need for a large amount of operation data and complex algorithms, effectively meeting the requirements of large-scale energy storage systems, and contributing to the realization of China's dual-carbon goal strategy. Thus, the problems of the existing integrated monitoring system for compressors, such as high cost, complex monitoring method, and poor system versatility, are solved.

[0021] The additional aspects and advantages of the present application will be partially given in the following description, partially become obvious from the following description, or be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The above and / or additional aspects and advantages of the present application will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0023] Figure 1 FIG. is a flowchart of an integrated monitoring method for a compressed air energy storage compressor according to an embodiment of the present application;

[0024] Figure 2 Schematic diagram of the logic architecture of an integrated monitoring method for a compressed air energy storage compressor provided by an embodiment of the present application;

[0025] Figure 3 Schematic diagram of the execution logic of an integrated monitoring method for a compressed air energy storage compressor provided by an embodiment of the present application;

[0026] Figure 4 Example diagram of an integrated monitoring device for a compressed air energy storage compressor according to an embodiment of the present application;

[0027] Figure 5 Schematic diagram of the structure of an electronic device provided by an embodiment of the present application.

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

[0029] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, in which the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions from beginning to end. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, but should not be construed as limiting the present application.

[0030] The integrated monitoring method of a compressed air energy storage compressor according to an embodiment of the present application will be described below with reference to the accompanying drawings. In view of the problems mentioned in the above background art, the present application provides an integrated monitoring method for a compressed air energy storage compressor. In this method, a compressor model corresponding to the target compressed air energy storage system is constructed, and real-time operation data of the target compressed air energy storage system is collected; the specification data corresponding to the target compressed air energy storage system is obtained, and the surge line expression and choke line expression of the compressor model are calculated through the specification data; a preset integrated monitoring unit is used to perform real-time monitoring on the target compressed air energy storage system according to the surge line expression, choke line expression and real-time operation data, so as to obtain the fault signal index of the target compressed air energy storage system, and judge whether the operation state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index. Among them, if the operation state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined. The present application monitors the core state variables of the compressor, thereby reducing the cost of the integrated monitoring system, without the need for a large amount of operation data and complex algorithms, effectively meeting the needs of large-scale energy storage systems, and contributing to the realization of China's dual-carbon goal strategy. Thus, the problems of the existing integrated monitoring system for compressors, such as high cost, complex monitoring method, and poor system versatility, are solved.

[0031] To facilitate the understanding of the execution process of the integrated monitoring method of the compressed air energy storage compressor of the present application by those skilled in the art, the following describes the prerequisites and assumptions involved in the implementation of the integrated monitoring of the present application.

[0032] In modern advanced adiabatic compressed air energy storage systems, a common design can use multi-stage compressors to gradually increase the pressure of the gas. Each compressor is driven by an independent motor, and these compressors are connected in sequence through pipelines to form a continuous compression process; for the sake of simplifying the analysis, the following assumptions are made in the present application:

[0033] First, the gas inside the compressor is regarded as uniformly distributed, and the lumped parameter method is used for modeling;

[0034] Second, the compression process is regarded as an adiabatic process without 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 work during the startup stage, so 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 the present application can be realized.

[0039] Specifically, Figure 1 is a flowchart of an integrated monitoring method for a compressed air energy storage compressor provided by an embodiment of the present application.

[0040] As Figure 1 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 operation data of the target compressed air energy storage system is collected.

[0042] In an embodiment of the present application, first, a compressor model corresponding to the compressed air energy storage system can be constructed according to relevant instructions, and then real-time operation data of the compressor is collected by using sensors.

[0043] Optionally, in an embodiment of the present application, constructing a compressor model corresponding to the target compressed air energy storage system and collecting real-time operation data of the target compressed air energy storage system includes: 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; taking the gas density, outlet gas velocity, and outlet gas temperature of the target compressed air energy storage system as state variables to construct a compressor model according to the state variables, rated mass flow rate, rated speed, rated pressure ratio, adiabatic efficiency, volume, inlet cross-sectional area, and outlet cross-sectional area; collecting real-time operation data of the target compressed air energy storage system, where the real-time operation data includes the current compressor speed, the current compressor outlet pressure, the current compressor outlet air temperature, and the current compressor mass flow rate.

[0044] It should be noted that in an embodiment of the present application, first, the compressor model in the compressed air energy storage system needs to be determined, that is, the object to be monitored. The process of compressor modeling is as follows:

[0045] In an embodiment of the present application, relevant parameters of the compressed air energy storage system need to be obtained, such as the rated mass flow rate q of the compressor m,0 , the rated speed n of the compressor 0 , the rated pressure ratio ε of the compressor 0 , the adiabatic efficiency η of the compressor 0 , the volume V of the compressor, the inlet cross-sectional area A of the compressor in , the outlet cross-sectional area A of the compressor out .

[0046] Secondly, in an embodiment of the present application, the gas density ρ inside the compressor, the velocity c of the outlet gas out , and the temperature T of the outlet gas out can be selected as state variables, and the compressor is modeled by the following formula:

[0047]

[0048]

[0049]

[0050] where q m represents the mass flow rate of the compressor; ρ represents the pressure; τ is the time variable; h is the specific enthalpy of the gas; W is the work done by the motor; c p is the specific heat capacity; the subscript in represents the inlet; the subscript out represents the outlet; among them, W is shown as follows:

[0051]

[0052] Furthermore, the embodiments of the present application can perform off-design correction on the compressor, and the specific correction expression is as follows:

[0053]

[0054]

[0055]

[0056]

[0057]

[0058]

[0059]

[0060]

[0061]

[0062] where the superscript · represents the reduced variable; ε represents the pressure ratio; η represents the adiabatic compression efficiency; G represents the reduced mass flow rate; N represents the reduced rotational speed; c 1 ,c 2 ,c 3 ,c 4 is an intermediate parameter, and its c 4 can take 0.8, q and m can take the value of 1.8, thus completing the model construction of the compressor.

[0063] It should be noted that in modern compressed air energy storage systems, a multi-stage compression design is often adopted to gradually increase the gas pressure. For multi-stage compression, in the actual implementation process, the embodiments of the present application can assume the outlet parameters (such as outlet pressure, outlet temperature, and flow rate) of each stage of the compressor as the inlet conditions of the next stage of the compressor for calculation; during the model construction process, for the state variables P out,i , T out,i and of the i-th stage compressor satisfy the following relationships:

[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 the present application can perform step-by-step modeling according to the above formulas until the last stage.

[0066] After that, the embodiments of the present application also need to use appropriate sensors to collect data for the compressor model and record the collected data in the following format: the current compressor speed n rt , the current compressor outlet pressure is p rt , the current compressor outlet air temperature is T out,rt , and the current compressor mass flow rate is q m,in,rt , where the subscript rt represents real time, that is, real-time data.

[0067] Thus, the embodiments of the present application construct a compressor model and collect real-time operation 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, 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 through the specification data.

[0069] Furthermore, the embodiments of the present application also need to set data for the integrated monitoring module of the target compressed air energy storage system according to the specification data provided by the compressor manufacturer and the above formulas, and transmit the target compressor information (i.e., real-time operation data) collected by the sensor to the integrated monitoring module, as Figure 2 shown, so as to calculate the surge line expression and the choke line expression of the compressor model according to the specification data, etc.

[0070] Optionally, in an embodiment of the present application, 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 through the specification data, including: obtaining the specification data corresponding to the target compressed air energy storage system, where the specification data includes at least five surge line points, at least five choke line points, the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure; calculating the surge line expression and the choke line expression based on at least five surge line points and at least five choke line points.

[0071] In the actual execution process, the embodiment of the present application can refer to the manufacturer's specification for a corresponding compressor model to obtain at least five points on the surge line, denoted as (n 1 ,q m,surge1 ),(n 2 ,q m,surge2 ),(n 3 ,q m,surge3 ),(n 4 ,q m,surge4 ),(n 5 ,q m,surge5 );at least five points on the choke line, denoted as (n 6 ,q m,choke6 ),(n 7 ,q m,choke7 ),(n 8 ,q m,choke8 ),(n 9 ,q m,choke9 ),(n 10 ,q m,choke10 );the upper limit of the compressor outlet temperature T out,max ;the lower limit of the compressor outlet temperature T out,min ;the upper limit of the compressor outlet pressure p max ;the lower limit of the compressor outlet pressure p min and other parameters; obtaining the surge line expression through the above parameters, as shown in the following formula:

[0072]

[0073] Similarly, the embodiment of the present application also needs to determine the choke line expression according to the above parameters, as shown in the following formula:

[0074]

[0075] After obtaining the relationships of the above surge flow and choke flow with respect to the rotational speed (i.e., the surge line expression and the choke line expression), the embodiment of the present application can use the surge line q m,surge (n), the choke line q m,choke (n), the upper limit of the compressor outlet temperature T out,max, the lower limit of the compressor outlet temperature T out,min , the upper limit of the compressor outlet pressure p max , the lower limit of the compressor outlet pressure p min All are stored in the integrated monitoring module, thus completing the data setting of the integrated monitoring module.

[0076] Therefore, in the embodiment of the present application, by using the five points on the surge line and the five points on the choke line selected in the specification to construct the expressions of the surge line and the choke line, for the given compressor model, relying on a small number of sensors and the information in the specification, the operating state of the compressor can be monitored more accurately at a lower cost and with a smaller amount of data.

[0077] In step S103, the preset integrated monitoring unit is used 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 operating data, so as to obtain the fault signal index of the target compressed air energy storage system, and judge whether the operating state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index. Among them, if the operating state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined.

[0078] Furthermore, the embodiment of the present application also needs to perform real-time monitoring on the compressor through the integrated monitoring module (i.e., the integrated monitoring unit), as Figure 3 shown, to judge whether the current operating state of the compressor is safe (i.e., whether the current operating state of the compressor meets the preset safety requirements) according to the changes of different indexes. If a fault occurs, that is, the operating state does not meet the preset safety requirements, the specific fault type is determined.

[0079] Optionally, in an embodiment of the present application, a preset integrated monitoring unit is used to perform real-time monitoring on the target compressed air energy storage system according to the surge line expression, the choke line expression, and real-time operation data, so as to obtain the fault signal index of the target compressed air energy storage system, and determine whether the operation state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index. Wherein, if the operation state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined, including: based on the surge line expression and the choke line expression, respectively determining the surge flow rate and the choke flow rate corresponding to the current compressor speed, and comparing the surge flow rate, the choke flow rate, and the current compressor speed to obtain a first comparison result; comparing 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; comparing 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; determining the fault signal index of the target compressed air energy storage system according to the first comparison result, the second comparison result, and the third comparison result; based on the fault signal index, determining whether the operation state meets the preset safety requirements. Wherein, if the operation state 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 current compressor speed n of the compressor model collected by the sensor in the embodiment of the present application rt , the current compressor outlet pressure p rt , the current compressor outlet air temperature T out,rt , and the current compressor mass flow rate q m,in,rt and other real-time operation data are uploaded to the integrated monitoring module, and based on the surge line expression and the choke line expression, the surge flow rate and the choke flow rate corresponding to the current compressor speed are respectively determined.

[0081] Secondly, the embodiment of the present application also needs to make the following judgments on the operation state of the compressor:

[0082] 1. Compare the surge flow rate, the choke flow rate, and the current compressor speed. If q m,surge (n rt ) < q m,in,rt < q m,choke (n rt ) (that is, 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 (that is, the second comparison result), then record Tindex = 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 ) are the surge flow rate and the choking flow rate at the real-time rotational speed, and their calculation formulas are as follows:

[0086]

[0087]

[0088] After obtaining the above three indexes of q index , T index , p index , the fault signal index Error index can be determined as shown in the mathematical expression:

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

[0090] Among them, ∨ represents the logical OR operation. When Error index = 0, it means that the current compressor has no fault; when Error index = 1, it means that the current compressor has a fault. The specific compressor fault judgment table is as follows:

[0091] Table 1

[0092]

[0093]

[0094] According to the above table, the embodiments of the present application can judge the state of the compressor; at the same time, the embodiments of the present application can also expand the multi-dimensional state monitoring of the compressor.

[0095] Specifically, the implementation of the present application can increase the monitoring of the mechanical vibration of the compressor for diagnosing abnormalities in mechanical components such as bearings and impellers. Accelerometers are installed on key components (such as bearings and housings), and the vibration frequency and amplitude are recorded.

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

[0097]

[0098] where f rotor is the rotor frequency, and d and D are the defect size and the rotor diameter respectively.

[0099] Secondly, the embodiments of the present application can also use acoustic sensors to collect the noise signals during the operation of the compressor in real time, judge potential faults, extract the energy spectrum of the acoustic signals, and judge whether there are abnormal spikes. And the embodiments of the present application can classify the noise characteristics by combining machine learning models (such as support vector machines) to detect specific types of faults.

[0100] Finally, the embodiments of the present application can monitor the quality of the lubricating oil in real time to detect the change in the metal particle concentration or viscosity in the lubricating oil and judge the wear condition. In addition, the embodiments of the present application can also use optical sensors to monitor the refractive index of the lubricating oil to judge the pollution condition. The embodiments of the present application can also combine particle analyzers to count the number and size of metal particles in real time to judge the state of the compressor.

[0101] Furthermore, for an energy storage system composed of multiple compressors, the embodiments of the present application can evaluate the health status of the compressor cluster through clustering and classification techniques.

[0102] Specifically, the embodiments of the present application can first use K-Means clustering to classify compressors with similar operating states into the same category according to multi-dimensional parameters (such as n, P out , T out , ), and the clustering center represents the health status:

[0103]

[0104] where c i is the clustering center of the i-th category.

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

[0106]

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

[0108] Finally, the embodiments of the present application can use Internet of Things technology to push the big data analysis results to a remote monitoring platform, dynamically display the trend chart of the compressor operation parameters and abnormal alarms, and send alarm information including the predicted fault type and occurrence time, etc. to maintenance personnel; at the same time, the embodiments of the present application can also generate maintenance suggestions according to historical data analysis, such as replacing a specific component or adjusting operation parameters, etc.

[0109] Thus, the embodiments of the present application can determine the type information of the fault 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] According to the integrated monitoring method of a compressed air energy storage compressor proposed by the embodiments of the present application, a compressor model corresponding to a target compressed air energy storage system is constructed, and real-time operation data of the target compressed air energy storage system is collected; the instruction book data corresponding to the target compressed air energy storage system is obtained, and the surge line expression and choke line expression of the compressor model are calculated through the instruction book data; a preset integrated monitoring unit is used to perform real-time monitoring on the target compressed air energy storage system according to the surge line expression, choke line expression and real-time operation data, so as to obtain the fault signal index of the target compressed air energy storage system, and determine whether the operation state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index, wherein if the operation state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined. The present application monitors the core state variables of the compressor, thereby reducing the cost of the integrated monitoring system, without the need for a large amount of operation data and complex algorithms, effectively meeting the requirements of large-scale energy storage systems, and contributing to the realization of China's dual-carbon goal strategy.

[0111] Secondly, an integrated monitoring device of a compressed air energy storage compressor proposed by the embodiments of the present application is described with reference to the accompanying drawings.

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

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

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

[0115] The calculation module 200 is configured 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.

[0116] The monitoring module 300 is configured to use 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, so as to obtain the fault signal index of the target compressed air energy storage system, and determine whether the operation state of the target compressed air energy storage system meets the preset safety requirements according to the fault signal index. Wherein, if the operation state does not meet the preset safety requirements, the fault information of the target compressed air energy storage system is determined.

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

[0118] Wherein, the first acquisition unit is configured to obtain 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 construction unit is configured to use the gas density, outlet gas velocity, and outlet gas temperature of the target compressed air energy storage system as state variables, and construct a compressor model according to 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 collection unit is configured to collect the real-time operation data of the target compressed air energy storage system, wherein the real-time operation data includes the current compressor speed, the current compressor outlet pressure, the current compressor outlet air temperature, and the current compressor mass flow rate.

[0121] Optionally, in an embodiment of the present application, the calculation module 200 includes: a second acquisition unit and an operation unit.

[0122] Wherein, the second acquisition unit is configured to obtain 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 choke line points, the upper limit of the compressor outlet temperature, the lower limit of the compressor outlet temperature, the upper limit of the compressor outlet pressure, and the lower limit of the compressor outlet pressure.

[0123] The operation unit is configured to calculate the surge line expression and the choke line expression based on at least five surge line points and at least five choke line points.

[0124] Optionally, in an embodiment of the present 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] Among them, a comparison unit is configured to respectively determine a surge flow rate and a choke flow rate corresponding to a current compressor speed based on a surge line expression and a choke line expression, and compare the surge flow rate, the choke flow rate and the current compressor speed to obtain a first comparison result.

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

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

[0128] A determination unit is configured to determine a fault signal index of the target compressed air energy storage system according to the first comparison result, the second comparison result and the third comparison result.

[0129] A judgment unit is configured to judge whether an operating state meets a preset safety requirement based on the fault signal index. If the operating state does not meet the preset safety requirement, fault information of the target compressed air energy storage system is determined according to a preset compressor fault judgment table.

[0130] It should be noted that the foregoing explanation of the embodiments of the integrated monitoring method for a compressed air energy storage compressor is also applicable to the integrated monitoring device for a compressed air energy storage compressor in this embodiment, and will not be elaborated here.

[0131] An integrated monitoring device for a compressed air energy storage compressor according to an embodiment of the present application includes a modeling module configured to construct a compressor model corresponding to a target compressed air energy storage system and collect real-time operation data of the target compressed air energy storage system; a calculation module configured to obtain specification data corresponding to the target compressed air energy storage system and calculate a surge line expression and a choke line expression of the compressor model through the specification data; a monitoring module configured to perform real-time monitoring on the target compressed air energy storage system by using a preset integrated monitoring unit according to the surge line expression, the choke line expression and the real-time operation data to obtain a fault signal index of the target compressed air energy storage system, and judge whether the operating state of the target compressed air energy storage system meets a preset safety requirement through the fault signal index. If the operating state does not meet the preset safety requirement, fault information of the target compressed air energy storage system is determined. The present application monitors core state variables of the compressor, thereby reducing the cost of a lower integrated monitoring system, without requiring a large amount of operation data and complex algorithms, effectively meeting the requirements of a large-scale energy storage system, and contributing to the realization of China's dual-carbon target strategy.

[0132] Figure 5 It is a schematic structural diagram of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0133] A memory 501, a processor 502, and a computer program stored on the memory 501 and executable on the processor 502.

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

[0135] Furthermore, the electronic device further includes:

[0136] A communication interface 503 for communication between the memory 501 and the processor 502.

[0137] The memory 501 is used to store a computer program executable on the processor 502.

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

[0139] If the memory 501, the processor 502, and the communication interface 503 are independently implemented, the communication interface 503, the memory 501, and the processor 502 can be interconnected through a bus and communicate with each other. 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. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 5 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

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

[0141] The processor 502 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0142] An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the integrated monitoring method of the compressed air energy storage compressor as described above is implemented.

[0143] An embodiment of the present application also provides a computer program product, including a computer program, which is used to implement the integrated monitoring method of the compressed air energy storage compressor as described above when the computer program is executed.

[0144] In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic descriptions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0145] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0146] Any process or method description shown in the flowchart or described in other ways herein can be understood as representing a module, segment, or part of the code including one or N executable instructions for implementing a customized logic function or process. The scope of the preferred embodiments of the present application includes additional implementations, where the functions can be executed in a manner that is not shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved, which should be understood by those skilled in the art of the embodiments of the present application.

[0147] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definite sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion (electronic device) having one or N wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically by optically scanning the paper or other media, followed by editing, interpretation, or other appropriate processing as necessary, and then stored in a computer memory.

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

[0149] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the methods of the above-described embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0150] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

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

Claims

1. An integrated monitoring method for a compressed air energy storage compressor, characterized in that: The following steps are involved: 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; Acquire specification data corresponding to the target compressed air energy storage system, and calculate the surge line expression and the blocking line expression of the compressor model through the specification data; The target compressed air energy storage system is monitored in real time by using a preset integrated monitoring unit according to the surge line expression, the blocking line expression and the real-time operation data to obtain a fault signal index of the target compressed air energy storage system, and whether the operating state of the target compressed air energy storage system meets the preset safety requirements is judged by 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.

2. The method according to claim 1, characterized in that The step of constructing a compressor model corresponding to the target compressed air energy storage system and collecting real-time operation data of the target compressed air energy storage system includes: 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; The gas density, outlet gas velocity and outlet gas temperature of the target compressed air energy storage system are used 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 operating data of the target compressed air energy storage system, wherein the real-time operating data includes current compressor speed, current compressor outlet pressure, current compressor outlet air temperature and current compressor mass flow rate.

3. The method according to claim 2, characterized in that The obtaining of the specification data corresponding to the target compressed air energy storage system, and calculating the surge line expression and the blocking line expression of the compressor model through the specification data, comprises: Acquire 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 blocking 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 surge line expression and the block line expression are calculated based on the at least five surge line points and the at least five block line points.

4. The method according to claim 3, characterized in that: The method of using a preset integrated monitoring unit to monitor the target compressed air energy storage system in real time according to the surge line expression, the blocking line expression and the real-time operation data to obtain a fault signal index of the target compressed air energy storage system, and judging whether the operation state of the target compressed air energy storage system meets the preset safety requirements through the fault signal index, wherein if the operation state does not meet the preset safety requirements, determining the fault information of the target compressed air energy storage system includes: Based on the surge line expression and the choke line expression, respectively determining a surge flow and a choke flow corresponding to the current compressor speed, and comparing the surge flow, the choke flow and the current compressor speed to obtain a first comparison result; Comparing 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; Comparing the current compressor outlet pressure, the compressor outlet pressure upper limit, and the compressor outlet pressure lower limit to obtain a third comparison result; Determine a fault signal index of the target compressed air energy storage system according to the first comparison result, the second comparison result and the third comparison result; Based on the fault signal indicator, determine whether the operating state meets the preset safety requirements, wherein if the operating state does not meet the preset safety requirements, determine the fault information of the target compressed air energy storage system according to a preset compressor fault judgment table.

5. An integrated monitoring device for a compressed air energy storage compressor, characterized in that: include: A modeling module, used to construct a compressor model corresponding to a target compressed air energy storage system and collect real-time operation data of the target compressed air energy storage system; A calculation module, used to obtain the specification data corresponding to the target compressed air energy storage system, and calculate the surge line expression and the blocking line expression of the compressor model through the specification data; A monitoring module is used to use a preset integrated monitoring unit to perform real-time monitoring of the target compressed air energy storage system according to the surge line expression, the blocking line expression and the real-time operation data to obtain a fault signal index of the target compressed air energy storage system, and to judge whether the operating state of the target compressed air energy storage system meets the preset safety requirements through 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.

6. The device according to claim 5, characterized in that The modeling module includes: A 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; 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, so as 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; A collection unit is used to collect real-time operating data of the target compressed air energy storage system, wherein the real-time operating data includes a current compressor speed, a current compressor outlet pressure, a current compressor outlet air temperature and a current compressor mass flow rate.

7. The device according to claim 6, characterized in that The calculation module comprises: A second acquisition unit is used to acquire 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 blocking 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; A calculation unit is used to calculate the surge line expression and the block line expression based on the at least five surge line points and the at least five block line points.

8. An electronic device, characterized in that: include: 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 a compressed air energy storage compressor as described in any one of claims 1 to 4.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the integrated monitoring method for a compressed air energy storage compressor as described in any one of claims 1 to 4.

10. A computer program product, comprising a computer program, characterized in that The computer program is executed to implement the integrated monitoring method for the compressed air energy storage compressor according to any one of claims 1 to 4.

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