Compressor surge detection method, device and electronic equipment

Abstract

The present invention provides a compressor surge detection method, device, and electronic device. The method comprises: collecting compressor operating data; wherein the operating data includes exhaust pressure data, current data, and power data; calculating the compressor's operating fluctuation index based on the operating data; wherein the operating fluctuation index includes exhaust pressure fluctuation index, current fluctuation index, and power fluctuation index; determining the compressor's surge factor based on the operating fluctuation index; wherein the surge factor includes exhaust pressure surge factor, current surge factor, and power surge factor; and determining whether the compressor is experiencing surge based on the surge factor. This method can quickly and accurately determine whether the compressor is experiencing surge based on the compressor's exhaust pressure data, current data, and power data, with high detection accuracy, enabling real-time monitoring of compressor surge.

Description

Technical Field

[0001] The present invention relates to the technical field of compressors, and in particular to a method, device and electronic equipment for detecting surge of a compressor. Background Art

[0002] Centrifugal compressors are subject to surge. During surge, the compressor deviates from the design operating boundary, resulting in violent vibration and increased noise. This not only affects the stable operation of the unit but can also damage the compressor in severe cases. To prevent surge, the compressor must be controlled to operate outside the surge curve boundary. However, during the surge boundary curve test, the surge point is often selected based on human experience such as surge sound or fluctuations in ammeter data. Different testers and deviations in operating conditions will lead to different surge boundary curve test results. The accuracy and consistency of the fitted compressor surge boundary curve itself are poor. Therefore, a more scientific automatic compressor surge detection method is needed. Summary of the Invention

[0003] In view of this, the object of the present invention is to provide a compressor surge detection method, device and electronic equipment to quickly and accurately determine whether the compressor surges, with high detection accuracy, and can realize real-time monitoring of compressor surge.

[0004] In a first aspect, an embodiment of the present invention provides a method for detecting surge of a compressor, the method comprising: collecting operating data of the compressor; wherein the operating data comprises exhaust pressure data, current data and power data; calculating an operating fluctuation index of the compressor based on the operating data; wherein the operating fluctuation index comprises exhaust pressure fluctuation index, current fluctuation index and power fluctuation index; determining a surge factor of the compressor based on the operating fluctuation index; wherein the surge factor comprises exhaust pressure surge factor, current surge factor and power surge factor; and determining whether surge occurs in the compressor based on the surge factor.

[0005] In a preferred embodiment of the present application, the step of collecting the operating data of the compressor includes:

[0006] The operating data of the compressor is collected through a dynamic sliding window; wherein the period of the dynamic sliding window is the product of a preset number of sampling points and a single-point sampling period, and the number of sampling points is greater than or equal to 2.

[0007] In a preferred embodiment of the present application, the above method further includes: obtaining the pressure ratio of the compressor; and determining the single-point sampling period based on the pressure ratio of the compressor.

[0008] In a preferred embodiment of the present application, the above-mentioned step of calculating the operating fluctuation index of the compressor based on the operating data includes: calculating the operating percentage data of the compressor based on the operating data; wherein the operating percentage data includes exhaust pressure percentage data, current percentage data and power percentage data; and calculating the operating fluctuation index of the compressor based on the operating percentage data.

[0009] In a preferred embodiment of the present application, the above-mentioned step of calculating the operating percentage data of the compressor based on the operating data includes: calculating the operating percentage data of the compressor based on the operating data by the following formula: x_p=s_p / Rag; x_c=s_c / FLA; x_w=s_w / PLA; wherein, x_p is the exhaust pressure percentage data, s_p is the exhaust pressure data, RAG is the pressure range of the compressor; x_c is the current percentage data, s_c is the current data, FLA is the full load current of the compressor; x_w is the power percentage data, s_w is the power data, and PLA is the full load power of the compressor.

[0010] In a preferred embodiment of the present application, the step of calculating the operation fluctuation index of the compressor based on the operation percentage data includes: calculating the operation fluctuation index of the compressor based on the operation percentage data by the following formula: Nb_p=Sum[(Xi_p-Ai_p) 2 ] / 3σ_p;Nb_c=Sum[(Xi_c-Ai_c) 2 ] / 3σ_c;Nb_w=Sum[(Xi_w-Ai_w) 2 ] / 3σ_w; wherein, Nb_p is the exhaust pressure fluctuation index, Xi_p is the exhaust pressure percentage data within the i-th dynamic sliding window, Ai_p is the average value of the exhaust pressure percentage data within the i-th dynamic sliding window, and σ_p is the preset exhaust pressure fluctuation index judgment threshold; Nb_c is the current fluctuation index, Xi_c is the current percentage data within the i-th dynamic sliding window, Ai_c is the average value of the current percentage data within the i-th dynamic sliding window, and σ_c is the preset current fluctuation index judgment threshold; Nb_w is the power fluctuation index, Xi_w is the power percentage data within the i-th dynamic sliding window, Ai_w is the average value of the power percentage data within the i-th dynamic sliding window, and σ_w is the preset power fluctuation index judgment threshold.

[0011] In a preferred embodiment of the present application, the above method also includes: obtaining the pressure ratio of the surge points of multiple compressors; performing reverse fitting on the pressure ratio of the surge points of multiple compressors to obtain the exhaust pressure fluctuation index judgment threshold, the current fluctuation index judgment threshold and the power fluctuation index judgment threshold.

[0012] In a preferred embodiment of the present application, the above-mentioned step of determining the surge factor of the compressor based on the operating fluctuation index includes: if the operating fluctuation index is greater than or equal to a preset surge factor threshold, the surge factor of the compressor is a first value; if the operating fluctuation index is less than the surge factor threshold, the surge factor of the compressor is a second value.

[0013] In a preferred embodiment of the present application, the above-mentioned step of determining whether the compressor surges based on the surge factor includes: calculating the surge index of the compressor based on the surge factor; if the surge index is greater than or equal to a preset surge threshold, the compressor surges; if the surge index is less than the surge threshold, the compressor does not surge.

[0014] In a preferred embodiment of the present application, the step of calculating the surge index of the compressor based on the surge factor includes: calculating the surge index of the compressor based on the surge factor by the following formula: F=s1×r1+s2×r2+s3×r3; wherein F is the surge index of the compressor, s1 is the exhaust pressure surge factor, s2 is the current surge factor, s3 is the power surge factor, and r1, r2, and r3 are respectively pre-set weighting factors.

[0015] In a preferred embodiment of the present application, r1>r2, r1>r3, r1 + r2 + r3 = 1.

[0016] In a preferred embodiment of the present application, the method further includes: drawing a surge boundary curve of the compressor based on operating data of the compressor experiencing surge; and controlling the operation of the compressor based on the surge boundary curve.

[0017] In a second aspect, an embodiment of the present invention further provides a surge detection device for a compressor, the device comprising: an operating data acquisition module, for acquiring operating data of the compressor; wherein the operating data comprises exhaust pressure data, current data and power data; an operating fluctuation index calculation module, for calculating the operating fluctuation index of the compressor based on the operating data; wherein the operating fluctuation index comprises exhaust pressure fluctuation index, current fluctuation index and power fluctuation index; a surge factor determination module, for determining the surge factor of the compressor based on the operating fluctuation index; wherein the surge factor comprises exhaust pressure surge factor, current surge factor and power surge factor; and a compressor surge detection module, for determining whether surge occurs in the compressor based on the surge factor.

[0018] In a third aspect, an embodiment of the present invention further provides an electronic device, including a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the above-mentioned compressor surge detection method.

[0019] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned compressor surge detection method.

[0020] The embodiments of the present invention bring the following beneficial effects:

[0021] A compressor surge detection method, device, and electronic device provided in an embodiment of the present invention can quickly and accurately determine whether the compressor is experiencing surge based on the compressor's exhaust pressure data, current data, and power data. It has high detection accuracy and can achieve real-time monitoring of compressor surge.

[0022] Other features and advantages of the present disclosure will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by practicing the above-mentioned technology of the present disclosure.

[0023] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0025] Figure 1 A flowchart of a compressor surge detection method provided by an embodiment of the present invention;

[0026] Figure 2 A flowchart of another compressor surge detection method provided by an embodiment of the present invention;

[0027] Figure 3 A schematic diagram of a compressor surge detection method provided by an embodiment of the present invention;

[0028] Figure 4 A schematic structural diagram of a compressor surge detection device provided by an embodiment of the present invention;

[0029] Figure 5 A schematic structural diagram of another compressor surge detection device provided by an embodiment of the present invention;

[0030] Figure 6A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0032] Currently, centrifugal compressors are subject to surge. During surge, the compressor deviates from the design operating boundary, resulting in violent vibration and increased noise. This not only affects the stable operation of the unit but can also damage the compressor in severe cases. To prevent surge, the compressor must operate outside the surge curve boundary. However, during surge boundary curve testing, the surge point is often selected based on experience, such as surge sound or fluctuations in ammeter data.

[0033] Generally speaking, existing technical solutions often use surge sound and current fluctuation amplitude to determine compressor surge. However, judging surge by surge sound has the following disadvantages: the unit's operating environment is noisy, making it difficult to detect surge sound; and when the unit is operating at low load, the surge sound is relatively small and easily masked by the ambient sound, making it difficult to hear. Judging surge by current fluctuation amplitude has the following disadvantages: the unit's current fluctuation and unit surge are not absolutely correlated. When the unit's water system temperature fluctuates rapidly or when it is heavily loaded or unloaded, the current will also fluctuate significantly, making it easy to misjudge.

[0034] Therefore, different experimenters and deviations in working conditions will lead to different test results of the surge boundary curve. The accuracy and consistency of the fitted compressor surge boundary curve itself under the same working conditions are poor. It is necessary to provide a more scientific automatic compressor surge detection method.

[0035] Based on this, embodiments of the present invention provide a compressor surge detection method, device, and electronic device, specifically relating to a centrifugal chiller surge detection method. This method uses a method for extracting the comprehensive data features of the centrifugal compressor's exhaust pressure, current, and power during unit surge, calculates a fluctuation index using a dynamic sliding window, and comprehensively determines surge detection based on weight factors. Specifically, this method uses a method for extracting the comprehensive data features of the centrifugal compressor's exhaust pressure, current, and power during unit surge, comprehensively determines surge detection based on weight factors, and actual measurements show a high degree of accuracy. The dynamic sliding window calculation of the fluctuation index can cover all operating conditions, broadening the response range while maintaining consistent surge judgment accuracy.

[0036] To facilitate understanding of this embodiment, a compressor surge detection method disclosed in an embodiment of the present invention is first introduced in detail.

[0037] Example 1:

[0038] The embodiment of the present invention provides a method for detecting surge of a compressor. Figure 1 The flowchart of a compressor surge detection method is shown, and the compressor surge detection method includes the following steps:

[0039] Step S102 , collecting the operating data of the compressor; wherein the operating data includes: exhaust pressure data, current data and power data.

[0040] The compressor in the embodiment of the present invention can be a compressor of a chiller, and the chiller can be a centrifugal chiller. The centrifugal chiller includes a connected centrifugal compressor, a condenser, an evaporator, and a throttling device to form a first refrigerant circulation system, and the evaporator is suitable for being connected to an indoor heat exchanger to form a second refrigerant circulation system. Wherein, if the second refrigerant is water, the second refrigerant circulation system is also called a water system. Through the heat exchange between the first refrigerant and the second refrigerant in the evaporator, the cooling or heat generated by the first refrigerant circulation system can be transferred to the indoor heat exchanger in the unit, realizing heat exchange and energy supply between the second refrigerant and the room heat load.

[0041] In embodiments of the present invention, compressor operating data may include exhaust pressure, current, and power data. To unify dimensions, the operating data can be converted into percentage data. Specifically, the fluctuation index of the component during surge (percentage data) is used, rather than the absolute value of the component fluctuation. This facilitates capturing universal characteristics that are independent of experimental conditions. Specifically, the pressure range, full-load current, and full-load power can be used as the denominator when calculating the percentage data.

[0042] Step S104 , calculating the operation fluctuation index of the compressor based on the operation data; wherein the operation fluctuation index includes: an exhaust pressure fluctuation index, a current fluctuation index, and a power fluctuation index.

[0043] The compressor's operational fluctuation index characterizes the fluctuation of a particular component within a given timeframe. Specifically, a dynamic sliding window can be used to collect compressor operational data. The operational fluctuation index for each component within each dynamic sliding window can then be calculated, namely, the exhaust pressure fluctuation index, current fluctuation index, and power fluctuation index. The significance of the dynamic sliding window sampling data lies in maintaining the continuous fluctuation characteristics of all collected data points within the time domain, preventing data fluctuations between sampling segments from being filtered out through coupling.

[0044] Step S106 : determining a surge factor of the compressor based on the operation fluctuation index; wherein the surge factor includes: an exhaust pressure surge factor, a current surge factor, and a power surge factor.

[0045] The compressor surge factor can represent the surge condition of a component. Generally, the compressor surge factor can be determined by a threshold. If the operating fluctuation index is greater than a certain threshold, the surge factor is a certain value; if the operating fluctuation index is less than the threshold, the surge factor is a different value.

[0046] Step S108: determining whether the compressor surges based on the surge factor.

[0047] Different weighting factors can be set for different categories. A weighted calculation is performed based on the surge factor and weighting factor of each component to obtain the compressor surge index. If the surge index is large, it can be considered that the compressor is surging; if the surge index is small, it can be considered that the compressor is not surging.

[0048] A compressor surge detection method provided by an embodiment of the present invention can quickly and accurately determine whether the compressor is surged based on the compressor's exhaust pressure data, current data and power data. It has high detection accuracy and can realize real-time monitoring of compressor surge.

[0049] Example 2:

[0050] The embodiment of the present invention provides another method for detecting surge of a compressor. The method is implemented on the basis of the above embodiment. Figure 2 FIG. 1 is a flow chart of another compressor surge detection method shown in FIG. 1 . The compressor surge detection method in this embodiment includes the following steps:

[0051] Step S202 , collecting the operating data of the compressor; wherein the operating data includes: exhaust pressure data, current data and power data.

[0052] When collecting operating data, ordinary continuous segmented sampling carries the risk of data fluctuation coupling, i.e., data fluctuations between unit sampling segments are easily coupled and filtered out. Dynamic sliding window sampling, on the other hand, can maintain the continuous fluctuation characteristics of all collected data points in the time domain, without the risk of data fluctuation coupling. Therefore, this embodiment can use dynamic sliding windows to sample the operating data of the compressor, for example, using dynamic sliding windows to collect the operating data of the compressor. The period of the dynamic sliding window is the product of a pre-set number of sampling points and a single-point sampling period, and the number of sampling points is greater than or equal to 2.

[0053] The dynamic sliding window period = the number of sampling points × the single-point sampling period. The number of sampling points is at least 2 and is not limited to 3. The single-point sampling period can be determined based on the compressor pressure ratio. For example, the compressor pressure ratio can be obtained and the single-point sampling period can be determined based on the compressor pressure ratio.

[0054] The compression ratio is also called the compression ratio. The compression ratio indicates the degree to which the cylinder gas is compressed when the piston moves from the bottom dead center to the top dead center. It can be calculated by the following formula: compressor compression ratio = compressor exhaust absolute pressure / compressor suction absolute pressure.

[0055] Specifically, if the compressor pressure ratio > sampling period switching pressure ratio threshold PRS1, then the single point sampling period = T1; if the sampling period switching pressure ratio threshold PRS1 > compressor pressure ratio > sampling period switching pressure ratio threshold PRS2, then the single point sampling period = T2; if the sampling period switching pressure ratio threshold PRS2 > compressor pressure ratio > sampling period switching pressure ratio threshold PRS3, then the single point sampling period = T3, wherein the sampling period switching threshold PRS1 > sampling period switching threshold PRS2 > sampling period switching threshold PRS3; correspondingly, the single point sampling period T1 > single point sampling period T2 > single point sampling period T3.

[0056] For example, the three-point dynamic sliding window sampling data can be {a1, a2, a3}, {a2, a3, a4}, {a3, a4, a5}. If the compressor pressure ratio = X>PRS1, then the time difference between a2 and a1, the time difference between a3 and a2, and the time difference between a4 and a3 are all T1.

[0057] The dynamic sliding window data sampling method used in this embodiment ensures the effectiveness of fluctuation detection and also has relatively appropriate detection sensitivity. Specifically, the sliding sampling period, or window time, must be appropriately selected based on the specific compressor type. A longer window time will reduce the data fluctuation index, while a shorter window time will increase the data misjudgment rate.

[0058] Step S204 , calculating the operation fluctuation index of the compressor based on the operation data; wherein the operation fluctuation index includes: an exhaust pressure fluctuation index, a current fluctuation index, and a power fluctuation index.

[0059] In an embodiment of the present invention, the operating data can be first converted into percentage data, and the operating fluctuation index of the compressor can be calculated based on the converted percentage data. For example, the operating percentage data of the compressor is calculated based on the operating data; wherein the operating percentage data includes exhaust pressure percentage data, current percentage data and power percentage data; and the operating fluctuation index of the compressor is calculated based on the operating percentage data.

[0060] Specifically, the operating percentage data of the compressor can be calculated based on the operating data by the following formula: x_p=s_p / Rag; x_c=s_c / FLA; x_w=s_w / PLA; wherein, x_p is the exhaust pressure percentage data, s_p is the exhaust pressure data, RAG is the pressure range of the compressor; x_c is the current percentage data, s_c is the current data, FLA is the full load current of the compressor; x_w is the power percentage data, s_w is the power data, and PLA is the full load power of the compressor.

[0061] The purpose of using percentage data for calculation is to maintain a consistent dimension. That is, the fluctuation index of the component during surge is used, rather than the absolute value of the component fluctuation. This helps capture the universality of the characteristics without changing with the experimental object. Percentage conversion is performed on each point based on the sampled data. The percentage denominators for exhaust pressure, current, and power calculations are set according to the design pressure range, full-load current, and full-load power of the unit model, respectively.

[0062] Specifically, the operation fluctuation index of the compressor can be calculated based on the operation percentage data using the following formula:

[0063] Nb_p=Sum[(Xi_p-Ai_p) 2 ] / 3σ_p;

[0064] Nb_c=Sum[(Xi_c-Ai_c) 2 ] / 3σ_c;

[0065] Nb_w=Sum[(Xi_w-Ai_w) 2 ] / 3σ_w;

[0066] Wherein, Nb_p is the exhaust pressure fluctuation index, Xi_p is the exhaust pressure percentage data within the i-th dynamic sliding window, Ai_p is the average value of the exhaust pressure percentage data within the i-th dynamic sliding window, and σ_p is the preset exhaust pressure fluctuation index judgment threshold;

[0067] Nb_c is the current fluctuation index, Xi_c is the current percentage data in the i-th dynamic sliding window, Ai_c is the average value of the current percentage data in the i-th dynamic sliding window, and σ_c is the preset current fluctuation index judgment threshold;

[0068] Nb_w is the power fluctuation index, Xi_w is the power percentage data in the i-th dynamic sliding window, Ai_w is the average value of the power percentage data in the i-th dynamic sliding window, and σ_w is the pre-set power fluctuation index judgment threshold.

[0069] In summary, the embodiment of the present invention can calculate the fluctuation index of each component in each dynamic sliding window by the above formula. For example, the exhaust pressure percentage data in the third dynamic sliding window are 0.5, 1, and 1.5, and the average value is 1. Assuming that the exhaust pressure fluctuation index judgment threshold is 0.9, the exhaust pressure fluctuation index can be: Nb_p=Sum[(Xi_p-Ai_p)] 2 ] / 3σ_p=[(0.5-1) 2 +(1-1) 2

[0070] +(1.5-1) 2 ] / (3×0.9)=0.185.

[0071] In addition, the fluctuation index judgment threshold of each component can be obtained by reverse fitting the pressure ratio, for example: obtaining the pressure ratio of the surge point of multiple compressors; reverse fitting the pressure ratio of the surge point of multiple compressors to obtain the exhaust pressure fluctuation index judgment threshold, current fluctuation index judgment threshold and power fluctuation index judgment threshold.

[0072] The fitting formula may be y=f(x), where x is the surge pressure ratio point, y is the surge fluctuation index threshold point, and the f(x) fitting function includes but is not limited to a linear function, a power function, an exponential function, etc., and the principle of the highest data regression is adopted.

[0073] Step S206 : determining a surge factor of the compressor based on the operation fluctuation index; wherein the surge factor includes: an exhaust pressure surge factor, a current surge factor, and a power surge factor.

[0074] Step S208: determining whether the compressor surges based on the surge factor.

[0075] Specifically, the surge factor of the compressor can be determined based on the operation fluctuation index in the following manner: if the operation fluctuation index is greater than or equal to a preset surge factor threshold, the surge factor of the compressor is a first value; if the operation fluctuation index is less than the surge factor threshold, the surge factor of the compressor is a second value.

[0076] For example, if Nb_p < 1, then s1 = 0; if Nb_p >= 1, then s1 = 1; if Nb_c < 1, then s2 = 0; if Nb_c >= 1, then s2 = 1; if Nb_w < 1, then s3 = 0; if Nb_s >= 1, then s3 = 1. Here, s1, s2, and s3 are the surge factors for exhaust pressure, current, and power, respectively. Nb_p is the exhaust pressure fluctuation index, Nb_c is the current fluctuation index, and Nb_w is the power fluctuation index. The surge factor threshold for each component is 1, the first value of each component is 1, and the second value of each component is 0.

[0077] After obtaining the surge factors of each component, whether the compressor surges can be determined based on the surge factors through the following steps: calculating the surge index of the compressor based on the surge factors; if the surge index is greater than or equal to the preset surge threshold, the compressor surges; if the surge index is less than the surge threshold, the compressor does not surge.

[0078] Specifically, the surge index of the compressor can be calculated based on the surge factor using the following formula: F=s1×r1+s2×r2+s3×r3; where F is the surge index of the compressor, s1 is the exhaust pressure surge factor, s2 is the current surge factor, s3 is the power surge factor, and r1, r2, and r3 are pre-set weighting factors, respectively.

[0079] Among them, r1, r2, and r3 are the weighted factors of the influence of exhaust pressure, current, and power on surge judgment, respectively, and r1 + r2 + r3 = 1. At the same time, based on the surge principle and measured surge characteristics, the exhaust pressure fluctuation index and misjudgment rate comprehensive characteristics during surge are better than current and power, so r1>r2 and r1>r3 are required.

[0080] If F>= Sg, the current point is considered surge, otherwise the unit is not experiencing surge. Sg is the surge threshold. In particular, Sg can be set according to different compressor models. Similarly, for the same centrifugal compressor, adjusting this parameter is equivalent to adjusting the surge detection sensitivity.

[0081] Step S210 : drawing a surge boundary curve of the compressor based on the operating data of the compressor that has experienced surge; and controlling the operation of the compressor based on the surge boundary curve.

[0082] After obtaining the surge point of the compressor, the surge boundary curve of the compressor can be drawn according to the surge point. The surge boundary curve drawn by the method provided by the embodiment of the present invention has higher accuracy, can ensure more stable operation of the unit, and widen the operating range of the unit.

[0083] Specifically, see Figure 3 A schematic diagram of a compressor surge detection method is shown. After the compressor unit is running, the operating data of the compressor can be collected through a dynamic sliding window, the operating percentage data of the compressor is calculated based on the operating data, the operating fluctuation index of the compressor is calculated based on the operating percentage data, and the surge factor of each component of the compressor is determined to be a first value or a second value based on the operating fluctuation index of each component. The surge factor is weighted and calculated to obtain the surge index of the compressor. Whether the compressor surges is determined based on the surge index of the compressor.

[0084] The above method provided by the embodiment of the present invention can use dynamic sliding window to process data to ensure detection accuracy and detection response range; can use the corresponding percentage calculation of compressor exhaust pressure, current, and power to unify the dimensions; can use the fluctuation index to calculate and effectively extract surge characteristics; can use the fluctuation index of exhaust pressure, current, and power to weightedly judge the surge result.

[0085] In this method, data collection is simple, the dimensions are unified, and the dynamic sliding window processing surge detection range is wide; the unit surge characteristics can be detected in real time with high detection accuracy; it can ensure more stable unit operation, improve the accuracy of the compressor boundary curve, and broaden the unit operation range.

[0086] Example 3:

[0087] Corresponding to the above method embodiment, the present invention provides a compressor surge detection device, see Figure 4 The schematic diagram of the structure of a surge detection device for a compressor is shown, and the surge detection device for the compressor includes:

[0088] An operating data acquisition module 41 is used to collect operating data of the compressor; wherein the operating data includes exhaust pressure data, current data and power data;

[0089] An operation fluctuation index calculation module 42 is configured to calculate an operation fluctuation index of the compressor based on the operation data; wherein the operation fluctuation index includes an exhaust pressure fluctuation index, a current fluctuation index, and a power fluctuation index;

[0090] A surge factor determination module 43 is configured to determine a surge factor of the compressor based on an operation fluctuation index; wherein the surge factor includes an exhaust pressure surge factor, a current surge factor, and a power surge factor;

[0091] The compressor surge detection module 44 is configured to determine whether the compressor surges based on the surge factor.

[0092] A compressor surge detection device provided by an embodiment of the present invention can quickly and accurately determine whether the compressor is surging based on the compressor's exhaust pressure data, current data and power data. It has high detection accuracy and can realize real-time monitoring of compressor surge.

[0093] The above-mentioned operation data collection module is used to collect the operation data of the compressor through a dynamic sliding window; wherein, the period of the dynamic sliding window is the product of a preset number of sampling points and a single-point sampling period, and the number of sampling points is greater than or equal to 2.

[0094] See also Figure 5The structural schematic diagram of another compressor surge detection device shown in the figure, the compressor surge detection device also includes: a single-point sampling period determination module 45, which is connected to the operation data acquisition module 41, and the single-point sampling period determination module 45 is used to obtain the pressure ratio of the compressor; and determine the single-point sampling period based on the pressure ratio of the compressor.

[0095] The operation fluctuation index calculation module is used to calculate the operation percentage data of the compressor based on the operation data; wherein the operation percentage data includes exhaust pressure percentage data, current percentage data and power percentage data; and calculate the operation fluctuation index of the compressor based on the operation percentage data.

[0096] The above-mentioned operation fluctuation index calculation module is used to calculate the operation percentage data of the compressor based on the operation data through the following formula: x_p=s_p / Rag; x_c=s_c / FLA; x_w=s_w / PLA; wherein, x_p is the exhaust pressure percentage data, s_p is the exhaust pressure data, RAG is the pressure range of the compressor; x_c is the current percentage data, s_c is the current data, FLA is the full load current of the compressor; x_w is the power percentage data, s_w is the power data, and PLA is the full load power of the compressor.

[0097] The operation fluctuation index calculation module is used to calculate the operation fluctuation index of the compressor based on the operation percentage data using the following formula: Nb_p=Sum[(Xi_p-Ai_p) 2 ] / 3σ_p;Nb_c=Sum[(Xi_c-Ai_c) 2 ] / 3σ_c;Nb_w=Sum[(Xi_w-Ai_w) 2 ] / 3σ_w; wherein, Nb_p is the exhaust pressure fluctuation index, Xi_p is the exhaust pressure percentage data within the i-th dynamic sliding window, Ai_p is the average value of the exhaust pressure percentage data within the i-th dynamic sliding window, and σ_p is the preset exhaust pressure fluctuation index judgment threshold; Nb_c is the current fluctuation index, Xi_c is the current percentage data within the i-th dynamic sliding window, Ai_c is the average value of the current percentage data within the i-th dynamic sliding window, and σ_c is the preset current fluctuation index judgment threshold; Nb_w is the power fluctuation index, Xi_w is the power percentage data within the i-th dynamic sliding window, Ai_w is the average value of the power percentage data within the i-th dynamic sliding window, and σ_w is the preset power fluctuation index judgment threshold.

[0098] like Figure 5As shown, the surge detection device of the compressor also includes: a fluctuation index judgment threshold determination module 46, which is connected to the operation fluctuation index calculation module 42, and the fluctuation index judgment threshold determination module 46 is used to obtain the pressure ratio of the surge points of multiple compressors; reverse fitting is performed on the pressure ratios of the surge points of multiple compressors to obtain the exhaust pressure fluctuation index judgment threshold, the current fluctuation index judgment threshold and the power fluctuation index judgment threshold.

[0099] The surge factor determination module is configured to set the surge factor of the compressor to a first value if the operation fluctuation index is greater than or equal to a preset surge factor threshold; and to set the surge factor of the compressor to a second value if the operation fluctuation index is less than the surge factor threshold.

[0100] The compressor surge detection module is configured to calculate a surge index of the compressor based on a surge factor; if the surge index is greater than or equal to a preset surge threshold, the compressor surges; if the surge index is less than the surge threshold, the compressor does not surge.

[0101] The compressor surge detection module is configured to calculate a compressor surge index based on the surge factor using the following formula: F = s1 × r1 + s2 × r2 + s3 × r3; where F is the compressor surge index, s1 is the exhaust pressure surge factor, s2 is the current surge factor, s3 is the power surge factor, and r1, r2, and r3 are pre-set weighting factors. r1 > r2, r1 > r3, and r1 + r2 + r3 = 1.

[0102] like Figure 5 As shown, the surge detection device of the compressor also includes: a surge boundary curve drawing and determination module 47, which is connected to the compressor surge detection module 44. The surge boundary curve drawing and determination module 47 is used to draw the surge boundary curve of the compressor based on the operating data of the compressor where surge occurs; and control the operation of the compressor based on the surge boundary curve.

[0103] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the compressor surge detection device described above can refer to the corresponding process in the aforementioned embodiment of the compressor surge detection method, and will not be repeated here.

[0104] Example 4:

[0105] The embodiment of the present invention further provides an electronic device for running the above-mentioned compressor surge detection method; see Figure 6 The structure diagram of an electronic device shown in the figure includes a memory 100 and a processor 101, wherein the memory 100 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 101 to implement the above-mentioned compressor surge detection method.

[0106] Furthermore, Figure 6 The electronic device shown further includes a bus 102 and a communication interface 103 , and the processor 101 , the communication interface 103 and the memory 100 are connected via the bus 102 .

[0107] The memory 100 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is achieved through at least one communication interface 103 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 102 may be an ISA bus, a PCI bus, or an EISA bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 6 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0108] The processor 101 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in the processor 101 or software instructions. The above processor 101 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as a random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or register. The storage medium is located in the memory 100, and the processor 101 reads the information in the memory 100 and, in conjunction with its hardware, completes the steps of the method of the aforementioned embodiment.

[0109] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned compressor surge detection method. The specific implementation can be found in the method embodiment and will not be repeated here.

[0110] The computer program product of the compressor surge detection method, device and electronic device provided in the embodiments of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method in the previous method embodiment. The specific implementation can be found in the method embodiment and will not be repeated here.

[0111] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working process of the system and / or device described above can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0112] In addition, in the description of the embodiments of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; they may refer to mechanical connections or electrical connections; they may refer to direct connections or indirect connections through an intermediate medium; and they may refer to internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0113] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0114] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0115] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A method for detecting surge of a compressor, characterized in that: The method comprises: Collecting operating data of the compressor; wherein the operating data includes exhaust pressure data, current data and power data; Calculating an operation fluctuation index of the compressor based on the operation data; wherein the operation fluctuation index includes: an exhaust pressure fluctuation index, a current fluctuation index, and a power fluctuation index; Determining a surge factor of the compressor based on the operation fluctuation index; wherein the surge factor includes: an exhaust pressure surge factor, a current surge factor, and a power surge factor; determining whether surge occurs in the compressor based on the surge factor; The step of calculating the operation fluctuation index of the compressor based on the operation data includes: calculating the operation percentage data of the compressor based on the operation data; wherein the operation percentage data includes exhaust pressure percentage data, current percentage data and power percentage data; and calculating the operation fluctuation index of the compressor based on the operation percentage data by the following formula: Nb_p=Sum[(Xi_p-Ai_p) 2 ] / 3σ_p;Nb_c=Sum[(Xi_c-Ai_c) 2 ] / 3σ_c;Nb_w=Sum[(Xi_w-Ai_w) 2 ] / 3σ_w; wherein, Nb_p is the exhaust pressure fluctuation index, Xi_p is the exhaust pressure percentage data within the i-th dynamic sliding window, Ai_p is the average value of the exhaust pressure percentage data within the i-th dynamic sliding window, and σ_p is the preset exhaust pressure fluctuation index judgment threshold; Nb_c is the current fluctuation index, Xi_c is the current percentage data within the i-th dynamic sliding window, Ai_c is the average value of the current percentage data within the i-th dynamic sliding window, and σ_c is the preset current fluctuation index judgment threshold; Nb_w is the power fluctuation index, Xi_w is the power percentage data within the i-th dynamic sliding window, Ai_w is the average value of the power percentage data within the i-th dynamic sliding window, and σ_w is the preset power fluctuation index judgment threshold; The step of determining the surge factor of the compressor based on the operation fluctuation index includes: if the operation fluctuation index is greater than or equal to a preset surge factor threshold, the surge factor of the compressor is a first value; if the operation fluctuation index is less than the surge factor threshold, the surge factor of the compressor is a second value.

2. The method according to claim 1, characterized in that The steps of collecting the operating data of the compressor include: The operating data of the compressor is collected through a dynamic sliding window; wherein, the period of the dynamic sliding window is the product of a preset number of sampling points and a single-point sampling period, and the number of sampling points is greater than or equal to 2.

3. The method according to claim 2, characterized in that The method further comprises: obtaining a pressure ratio of the compressor; The single-point sampling period is determined based on the pressure ratio of the compressor.

4. The method according to claim 1, wherein The step of calculating the operating percentage data of the compressor based on the operating data comprises: The operating percentage data of the compressor is calculated based on the operating data by the following formula: x_p=s_p / RAG; x_c=s_c / FLA; x_w=s_w / PLA; Among them, x_p is the exhaust pressure percentage data, s_p is the exhaust pressure data, and RAG is the pressure range of the compressor; x_c is the current percentage data, s_c is the current data, and FLA is the full load current of the compressor; x_w is the power percentage data, s_w is the power data, and PLA is the full load power of the compressor.

5. The method according to claim 1, wherein The method further comprises: Obtaining pressure ratios of surge points of a plurality of the compressors; The pressure ratios of the surge points of the plurality of compressors are reversely fitted to obtain the exhaust pressure fluctuation index judgment threshold, the current fluctuation index judgment threshold, and the power fluctuation index judgment threshold.

6. The method according to claim 1, characterized in that The step of determining whether surge occurs in the compressor based on the surge factor includes: calculating a surge index of the compressor based on the surge factor; If the surge index is greater than or equal to a preset surge threshold, the compressor surges; If the surge index is less than the surge threshold, the compressor is not surging.

7. The method according to claim 6, characterized in that The step of calculating the surge index of the compressor based on the surge factor includes: The surge index of the compressor is calculated based on the surge factor using the following formula: F=s1×r1+ s2×r2 + s3×r3; Wherein, F is the surge index of the compressor, s1 is the exhaust pressure surge factor, s2 is the current surge factor, s3 is the power surge factor, and r1, r2, and r3 are respectively pre-set weighting factors.

8. The method according to claim 7, characterized in that r1>r2，r1>r3，r1 + r2 + r3 = 1。 9. The method according to claim 1, characterized in that The method further comprises: Drawing a surge boundary curve of the compressor based on operating data of the compressor where surge occurs; The compressor operation is controlled based on the surge boundary curve.

10. A compressor surge detection device, characterized in that: The device comprises: An operating data acquisition module is used to collect operating data of the compressor; wherein the operating data includes exhaust pressure data, current data and power data; An operation fluctuation index calculation module, configured to calculate an operation fluctuation index of the compressor based on the operation data; wherein the operation fluctuation index includes: an exhaust pressure fluctuation index, a current fluctuation index, and a power fluctuation index; A surge factor determination module, configured to determine a surge factor of the compressor based on the operation fluctuation index; wherein the surge factor includes: an exhaust pressure surge factor, a current surge factor, and a power surge factor; a compressor surge detection module, configured to determine whether surge occurs in the compressor based on the surge factor; The operation fluctuation index calculation module is configured to calculate the operation percentage data of the compressor based on the operation data; wherein the operation percentage data includes exhaust pressure percentage data, current percentage data, and power percentage data; and the operation fluctuation index of the compressor is calculated based on the operation percentage data using the following formula: Nb_p=Sum[(Xi_p-Ai_p) 2 ] / 3σ_p;Nb_c=Sum[(Xi_c-Ai_c) 2 ] / 3σ_c;Nb_w=Sum[(Xi_w-Ai_w) 2 ] / 3σ_w; wherein, Nb_p is the exhaust pressure fluctuation index, Xi_p is the exhaust pressure percentage data within the i-th dynamic sliding window, Ai_p is the average value of the exhaust pressure percentage data within the i-th dynamic sliding window, and σ_p is the preset exhaust pressure fluctuation index judgment threshold; Nb_c is the current fluctuation index, Xi_c is the current percentage data within the i-th dynamic sliding window, Ai_c is the average value of the current percentage data within the i-th dynamic sliding window, and σ_c is the preset current fluctuation index judgment threshold; Nb_w is the power fluctuation index, Xi_w is the power percentage data within the i-th dynamic sliding window, Ai_w is the average value of the power percentage data within the i-th dynamic sliding window, and σ_w is the preset power fluctuation index judgment threshold; The surge factor determination module is configured to set the surge factor of the compressor to a first value if the operation fluctuation index is greater than or equal to a preset surge factor threshold; and to set the surge factor of the compressor to a second value if the operation fluctuation index is less than the surge factor threshold.

11. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the compressor surge detection method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the compressor surge detection method according to any one of claims 1 to 9.

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