A hydraulic automatic control method and system for a hydraulic power station

Abstract

The present application relates to the technical field of hydraulic systems, and specifically to a hydraulic automatic control method and system for a hydraulic power station, the method comprising: collecting engine speed data, hydraulic oil temperature data, hydraulic pressure data, collecting pump flow data and pump body temperature data of a hydraulic slurry pump; obtaining an increasing hydraulic oil temperature sequence, an increasing hydraulic oil temperature slope sequence, a decreasing hydraulic oil temperature sequence, and a decreasing hydraulic oil temperature slope sequence; calculating a hydraulic oil temperature abnormality coefficient and a hydraulic pressure abnormality coefficient; and then obtaining a hydraulic risk index; obtaining a flow rate change trend coefficient at each collection moment based on the average of the changes in the pump flow data; and then obtaining a pump body temperature curve; calculating a linear measurement coefficient; and obtaining a load intensity at each collection moment based on the values ​​of the flow rate change trend coefficient and the linear measurement coefficient, and controlling the hydraulic pressure of the hydraulic power station. The present application solves the problem of loss caused by excessive burden on the hydraulic power station.

Description

Technical Field

[0001] The present application relates to the technical field of hydraulic systems, and in particular to a hydraulic automatic control method and system for a hydraulic power station. Background Art

[0002] With the continuous improvement of industrial automation level, hydraulic power station plays an increasingly important role in many industries. Hydraulic power station, also known as hydraulic pump station, is a core device that provides hydraulic power. Hydraulic power station mainly supplies oil according to the requirements of the drive device, and can also well control the flow, direction and pressure of the oil flow. The scope of use is mainly various hydraulic machinery where the host and hydraulic device can be separated.

[0003] The prior art often controls the hydraulic power station according to the load changes of the hydraulic power station when performing hydraulic control. This method simplifies the control process and only requires corresponding hydraulic control according to the load changes. However, this hydraulic control process lacks attention to the hydraulic system. The hydraulic system and its load are interrelated. If the various parameters of the hydraulic system are not considered during hydraulic control, it may add a greater burden to the hydraulic system, which may not only cause some hydraulic parameters to exceed the threshold and cause shutdown, but also excessive burdens will cause excessive losses to some devices in the hydraulic system. Therefore, there is an urgent need for a hydraulic control method that pays attention to both load changes and changes in the hydraulic system's own parameters, so that flexible hydraulic control can be achieved while avoiding excessive burdens that cause greater harm to the hydraulic system. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a hydraulic automatic control method and system for a hydraulic power station. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a hydraulic automatic control method for a hydraulic power station, the method comprising the following steps:

[0006] Collect engine speed data, hydraulic oil temperature data, hydraulic pressure data of the hydraulic power station, and collect pump flow data and pump body temperature data of the hydraulic slurry pump;

[0007] Based on the change trend of the fitting curve of the hydraulic oil temperature data at all acquisition moments, an increasing hydraulic oil temperature sequence, an increasing hydraulic oil temperature slope sequence, a decreasing hydraulic oil temperature sequence and a decreasing hydraulic oil temperature slope sequence are obtained;

[0008] Based on the correlation between the hydraulic oil temperature sequence, the increasing hydraulic oil temperature slope sequence, the correlation between the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence, and the value of the hydraulic oil temperature data, the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient at each acquisition time are obtained;

[0009] Based on the magnitude relationship between the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient, the correlation between the engine speed data and the hydraulic oil temperature data, and the correlation between the engine speed data and the hydraulic pressure data, the hydraulic risk index at each collection time is obtained;

[0010] Based on the average of the changes in the pump flow data, the flow rate change trend coefficient at each collection time is obtained; the pump body temperature data is subjected to a curve fitting algorithm to obtain the pump body temperature curve at each collection time; based on the trend of the pump body temperature curve, the linear measurement coefficient at each collection time is obtained;

[0011] Based on the values ​​of the flow rate change trend coefficient and the linear measurement coefficient, the load intensity at each collection moment is obtained; and the hydraulic pressure of the hydraulic power station is controlled according to the hydraulic risk index and the load intensity.

[0012] Furthermore, the method for obtaining the increasing hydraulic oil temperature sequence, the increasing hydraulic oil temperature slope sequence, the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence is:

[0013] For each collection moment, a sequence consisting of the hydraulic oil temperature data of all previous collection moments including the collection moment is used as the hydraulic oil temperature sequence of each collection moment;

[0014] Performing curve fitting on the elements in the hydraulic oil temperature sequence at each acquisition moment to obtain the hydraulic oil temperature fitting curve at each acquisition moment;

[0015] For the hydraulic oil temperature fitting curve at each collection time, the fitting values ​​corresponding to all collection times on the hydraulic oil temperature fitting curve are differentiated to obtain the derivative values ​​of the fitting values ​​at each collection time on the hydraulic oil temperature fitting curve, and all derivative values ​​greater than 0 are sorted in positive time order to construct an increasing hydraulic oil temperature slope sequence, and the hydraulic oil temperature data at all collection times with derivative values ​​greater than 0 are sorted in positive time order to obtain an increasing hydraulic oil temperature sequence; all derivative values ​​less than 0 are arranged in positive time order to construct a decreasing hydraulic oil temperature slope sequence, and the hydraulic oil temperature data at all collection times with derivative values ​​less than 0 are sorted in positive time order to obtain a decreasing hydraulic oil temperature sequence.

[0016] Furthermore, the method for obtaining the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient is:

[0017] The calculation formula of the hydraulic oil temperature abnormality coefficient is: ; It is The hydraulic oil temperature abnormality coefficient at each collection moment, It is Hydraulic oil temperature data at each collection moment, is the correlation coefficient between the increasing hydraulic oil temperature sequence and the increasing hydraulic oil temperature slope sequence, is the correlation coefficient between the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence, , are the minimum function and the maximum function respectively. is the mean function;

[0018] The hydraulic pressure abnormality coefficient at each collection moment is obtained by using the same method as the hydraulic oil temperature abnormality coefficient.

[0019] Furthermore, the method for obtaining the hydraulic risk index is:

[0020] For the hydraulic pressure data and the engine speed data, the same method as the hydraulic oil temperature sequence is used to obtain the hydraulic pressure sequence and the engine speed sequence at each acquisition moment;

[0021] The calculation formula of the hydraulic risk index is: ; In the formula, It is Hydraulic risk index at each acquisition moment; , They are The abnormal coefficient of hydraulic oil temperature and hydraulic pressure at each collection moment, is the correlation coefficient between the engine speed sequence at the i-th acquisition moment and the hydraulic oil temperature sequence at the i-th acquisition moment, For the The correlation coefficient between the engine speed sequence at the i-th acquisition moment and the hydraulic pressure sequence at the i-th acquisition moment, is the preset tuning coefficient.

[0022] Further, the method for obtaining the flow velocity change trend coefficient is:

[0023] For the pump flow data, the same method as the hydraulic oil temperature series is used to obtain the pump flow series at each collection time;

[0024] The first-order difference sequence of the pump flow sequence at each acquisition moment is obtained, and the mean of all elements in the first-order difference sequence is calculated as the flow rate change trend coefficient at each acquisition moment.

[0025] Further, the method for obtaining the pump body temperature curve is:

[0026] For each collection moment, a sequence consisting of the pump body temperature data of all previous collection moments including the current collection moment is taken as the pump body temperature sequence of each collection moment, and a curve fitting algorithm is used to process the pump body temperature sequence of each collection moment to obtain the pump body temperature curve of each collection moment.

[0027] Furthermore, the linear metric coefficient is obtained by:

[0028] The first and last points of the pump body temperature curve at each collection moment are connected as the pump body temperature straight line at each collection moment, the area enclosed by the pump body temperature curve at each collection moment and the pump body temperature straight line is taken as the pump body temperature area at each collection moment, and the area of ​​the pump body temperature area at each collection moment is taken as the linear measurement coefficient at each collection moment.

[0029] Furthermore, the load intensity is obtained by:

[0030] The product of the negative value of the flow velocity change trend coefficient at each collection moment and the linear measurement coefficient is taken as the load intensity at each collection moment.

[0031] Further, the controlling of the hydraulic pressure of the hydraulic power station according to the hydraulic risk index and the load intensity includes:

[0032] The hydraulic risk index and load intensity at each acquisition moment are used as the input of the fuzzy control method, and the flow data of the hydraulic power station after control at each acquisition moment is output.

[0033] In a second aspect, an embodiment of the present application also provides a hydraulic automatic control system for a hydraulic power station, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0034] This application has at least the following beneficial effects:

[0035] This application calculates the hydraulic risk index at each acquisition moment according to the time-series change characteristics of the hydraulic oil temperature and hydraulic pressure in the hydraulic power station, and combines the correlation between the two and the engine speed. The index quantifies the abnormality of the hydraulic power station, which helps to perform hydraulic regulation based on the quantitative results of the abnormality, thereby ensuring the safety of the hydraulic system to a certain extent; then, according to the time-series change characteristics of the pump flow and pump body temperature of the hydraulic power station load at the same acquisition moment, the load intensity at each acquisition moment is calculated. The index describes the load change in combination with the load monitoring data, improves the accuracy of the load change quantification, and can more accurately reflect the load change; finally, fuzzy control is performed based on these two indicators to achieve hydraulic automatic control of the hydraulic power station. In this way, the changes of the hydraulic power station and the load are taken into account at the same time, and the dynamic balance between the two is sought during control, so that not only the purpose of hydraulic control according to the load change is achieved, but also the safety of the hydraulic power station is guaranteed, which helps to ensure the working efficiency of the hydraulic power station and its load, and avoids the loss of the hydraulic power station caused by excessive burden. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 A flowchart of a hydraulic automatic control method for a hydraulic power station provided in one embodiment of the present application;

[0038] Figure 2 A schematic diagram of pump body temperature areas provided for one embodiment of the present application. DETAILED DESCRIPTION

[0039] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the hydraulic automatic control method and system for a hydraulic power station proposed in the present application, its specific implementation, structure, features and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0040] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0041] The following is a detailed description of a specific scheme of a hydraulic automatic control method and system for a hydraulic power station provided by the present application in conjunction with the accompanying drawings.

[0042] See also Figure 1 , which shows a flow chart of a hydraulic automatic control method for a hydraulic power station provided by an embodiment of the present application, the method comprising the following steps:

[0043] Step S1, collecting engine speed data, hydraulic oil temperature data, and hydraulic pressure data of the hydraulic power station, collecting pump flow data and pump body temperature data of the hydraulic slurry pump, and performing preprocessing.

[0044] Through the monitoring system of the hydraulic power station, the engine speed is collected by using the speed sensor installed at the engine crankshaft, the hydraulic oil temperature is collected by using the temperature sensor installed at the outlet of the hydraulic oil tank, and the hydraulic pressure data of the hydraulic oil is collected by using the pressure sensor installed at the outlet of the hydraulic pump. Through the load monitoring system of the hydraulic power station, the load of the hydraulic power station in this embodiment is a hydraulic slurry pump, and the pump flow data is collected by using the flow sensor installed on the outlet pipe of the hydraulic slurry pump, and the pump body temperature data is collected by using the temperature sensor installed inside the hydraulic slurry pump body. Among them, the interval of data collection is 1min.

[0045] Furthermore, the above-collected data are preprocessed. For the engine speed data, pump flow data and pump body temperature data, this embodiment adopts the maximum value normalization method to normalize them; for the hydraulic oil temperature data and hydraulic pressure data, this embodiment adopts the maximum and minimum value normalization method to normalize them.

[0046] At this point, the pre-processed engine speed data, hydraulic oil temperature, hydraulic pressure data, pump flow data and pump body temperature data are obtained.

[0047] Step S2, based on the change trend of the fitting curve of the hydraulic oil temperature data at all collection moments, obtain the increasing hydraulic oil temperature sequence, the increasing hydraulic oil temperature slope sequence, the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence; based on the correlation between the hydraulic oil temperature sequence, the increasing hydraulic oil temperature slope sequence, the correlation between the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence, and the value of the hydraulic oil temperature data, obtain the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient at each collection moment; based on the size relationship between the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient, the correlation between the engine speed data and the hydraulic oil temperature data, and the correlation between the engine speed data and the hydraulic pressure data, obtain the hydraulic risk index at each collection moment.

[0048] When the hydraulic power station is performing hydraulic control, it often only pays attention to the change in the size of the hydraulic power station load and performs corresponding hydraulic control according to the load requirements. However, this method may cause the hydraulic system to become abnormal prematurely, thus shutting down for rest or maintenance. Frequent shutdowns or maintenance not only affect work efficiency, but also cause a heavy burden on the hydraulic power station itself, and cause large losses to some components. If hydraulic control can be performed in combination with the monitoring parameters of the hydraulic system, such as when the hydraulic oil temperature of the hydraulic power station is high, instead of blindly increasing the energy supply of the hydraulic system according to the load demand, a balance between the hydraulic oil temperature and the load demand is sought, which not only ensures that the load demand is met to a certain extent, but also helps to protect the hydraulic system itself.

[0049] Furthermore, the temperature change is continuous, and the temperature increase and decrease process are smooth transitions, so the hydraulic oil temperature change curve is smooth and there will be no sudden changes. Therefore, in order to ensure that the hydraulic oil temperature is within the standard working temperature range, when the hydraulic oil temperature changes in an upward trend, the closer the hydraulic oil temperature is to the upper limit of the standard working temperature range, the slower the change speed; when the hydraulic oil temperature changes in a downward trend, the closer the hydraulic oil temperature is to the lower limit of the standard working temperature range, the slower the change speed. However, when the hydraulic oil temperature of the hydraulic system is abnormal, even if the hydraulic oil temperature is close to the upper and lower limits of the standard working temperature range, there will be a faster change speed.

[0050] For each collection moment, the sequence of hydraulic oil temperature data of all previous collection moments including the collection moment is used as the hydraulic oil temperature sequence of each collection moment. The hydraulic pressure sequence, pump flow sequence and engine speed sequence of each collection moment are obtained by the same method as the hydraulic oil temperature sequence.

[0051] Furthermore, a polynomial fitting algorithm is used to perform curve fitting on the elements in the hydraulic oil temperature sequence at each acquisition moment to obtain a hydraulic oil temperature fitting curve at each acquisition moment. Polynomial fitting is a well-known technology and will not be described in detail here.

[0052] Furthermore, for the hydraulic oil temperature fitting curve at each collection moment, the fitting values ​​corresponding to all collection moments on the hydraulic oil temperature fitting curve are differentiated to obtain the derivative values ​​of the fitting values ​​at each collection moment on the hydraulic oil temperature fitting curve, all derivative values ​​greater than 0 are sorted in chronological order to construct an increasing hydraulic oil temperature slope sequence, and the hydraulic oil temperature data at all collection moments with derivative values ​​greater than 0 are sorted in chronological order to obtain an increasing hydraulic oil temperature sequence.

[0053] Similarly, all derivative values ​​less than 0 are arranged in positive time order to construct a decreasing hydraulic oil temperature slope sequence, and the hydraulic oil temperature data at all acquisition moments when the derivative value is less than 0 are sorted in positive time order to obtain a decreasing hydraulic oil temperature sequence.

[0054] Furthermore, based on the above analysis, the hydraulic oil temperature anomaly coefficient at each acquisition moment is obtained, and the calculation formula is: : It is The hydraulic oil temperature abnormality coefficient at each collection moment, It is The hydraulic oil temperature at the time of collection, is the correlation coefficient between the increasing hydraulic oil temperature sequence and the increasing hydraulic oil temperature slope sequence, is the correlation coefficient between the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence, , are the minimum and maximum functions respectively, is a mean function. In this embodiment, the correlation coefficient between the hydraulic oil temperature sequence and the hydraulic oil temperature slope sequence is measured by the Pearson correlation coefficient of the two sequences. The implementer may select other measurement methods according to actual conditions.

[0055] It is understandable that when the hydraulic oil temperature is normal, the hydraulic oil temperature should be within the standard operating temperature range, that is, , The closer they are to the center of the standard operating temperature range, the lower the temperature will be. and The closer, the The smaller the better; secondly, the closer the hydraulic oil temperature is to the upper and lower limits of the standard operating temperature range, the slower the change speed. The hydraulic oil temperature and the temperature change speed are negatively correlated, that is, is a negative number with a large absolute value; therefore, when the hydraulic oil temperature is normal, the hydraulic oil temperature abnormality coefficient is a negative number, and The smaller the absolute value of is, the more normal the hydraulic oil temperature is. On the contrary, when the hydraulic oil temperature is abnormal, the hydraulic oil temperature abnormality coefficient is is a positive number, and The larger it is, the greater the abnormality.

[0056] Similarly, the hydraulic pressure and hydraulic oil temperature have the same change characteristics, and the first Abnormal coefficient of hydraulic pressure at the time of acquisition .

[0057] When the engine speed in the hydraulic system increases, the output flow of the hydraulic pump will increase, thereby increasing the hydraulic pressure of the hydraulic system; at the same time, the increase in output flow also increases the working intensity of the hydraulic system, thereby causing an increase in the hydraulic oil temperature, that is, the change in engine speed is positively correlated with the hydraulic pressure and hydraulic oil temperature.

[0058] When the hydraulic oil temperature and hydraulic pressure of the hydraulic system are normal, the engine speed can be increased as needed, which can not only ensure the safety of the hydraulic system but also help improve work efficiency; however, when the hydraulic oil temperature or hydraulic pressure of the hydraulic system is abnormal, if the engine speed is still increased only as needed, the abnormality of the hydraulic oil temperature or hydraulic pressure will further increase, causing damage to parts and even causing the entire hydraulic system to shut down.

[0059] Secondly, when the engine speed does not show a positive correlation with the hydraulic oil temperature and hydraulic pressure, it means that there are some abnormalities in the hydraulic system itself. At this time, it is not enough to adjust only according to the load demand, but also pay more attention to the monitoring data of the hydraulic system to perform hydraulic control. Therefore, based on the above analysis, the hydraulic risk index is constructed, and the calculation formula is: ; In the formula, It is Hydraulic risk index at each acquisition moment; , They are The abnormal coefficient of hydraulic oil temperature and hydraulic pressure at each collection moment, is the correlation coefficient between the engine speed sequence at the i-th acquisition moment and the hydraulic oil temperature sequence at the i-th acquisition moment, For the The correlation coefficient between the engine speed sequence at the i-th acquisition moment and the hydraulic pressure sequence at the i-th acquisition moment, It is a preset parameter adjustment coefficient to avoid the denominator being 0, and in this embodiment, the value is 2. In this embodiment, the correlation between the engine speed sequence and the hydraulic oil temperature sequence and the hydraulic pressure sequence is measured by the Pearson correlation coefficient, and the implementer can select other measurement methods according to actual conditions.

[0060] It should be noted that when When the hydraulic system is normal at the time of collection, there is no abnormality in the hydraulic oil temperature and hydraulic pressure or the abnormality is small, that is, , are all negative and have small absolute values; there is a positive correlation between the speed and the hydraulic oil temperature and the hydraulic pressure, that is , are all positive and large, so when the When the hydraulic system is normal at the time of collection, the hydraulic risk index is a negative number, and The smaller the absolute value, the more normal it is. On the contrary, when the hydraulic system is abnormal, the hydraulic oil temperature or hydraulic pressure is abnormal, then , At least one of them is positive, so the hydraulic risk index is positive; and the positive correlation between the speed and the hydraulic oil temperature and the hydraulic pressure is weakened, that is, the denominator is small, that is, when the hydraulic system is abnormal, the hydraulic risk index is positive. is a positive number, and The larger the value, the greater the degree of abnormality.

[0061] Step S3, based on the average of the change in the pump flow data, obtain the flow rate change trend coefficient at each collection moment; use a curve fitting algorithm to obtain the pump body temperature data at each collection moment; obtain the linear measurement coefficient at each collection moment based on the trend of the pump body temperature curve; obtain the load intensity at each collection moment based on the value of the flow rate change trend coefficient and the linear measurement coefficient.

[0062] In this embodiment, the load of the hydraulic power station is a hydraulic slurry pump. The load change of the hydraulic slurry pump can be expressed by the working data of the hydraulic slurry pump, where the change in flow rate reflects the change in load demand of the hydraulic slurry pump. The change in temperature can reflect the energy loss and heat dissipation, which together cause changes in the load of the hydraulic slurry pump. When the load of the hydraulic power station is relatively stable, the flow rate of the hydraulic slurry pump is also relatively stable, and because the hydraulic slurry pump is relatively stable as a whole, the energy loss and heat dissipation are also relatively stable, so the change curve of the pump body temperature is close to a linear change. When the load of the hydraulic power station changes, the flow rate and pump body temperature of the hydraulic slurry pump will also change accordingly. Among them, the schematic diagram of the pump body temperature area is shown as follows Figure 2 shown.

[0063] Specifically, in Figure 2 Among them, 1 is the pump body temperature straight line, 2 and 3 are the pump body temperature curves, 2 is closer to linearity than 3, so the pump body temperature area between 1 and 2 is smaller than the pump body temperature area between 1 and 3.

[0064] For each collection moment, a sequence of pump body temperature data including the current collection moment and all previous collection moments is used as the pump body temperature sequence at each collection moment, and a polynomial fitting algorithm is used to perform curve fitting on the pump body temperature sequence at each collection moment to obtain the pump body temperature curve at each collection moment. The polynomial fitting algorithm is a well-known technology and will not be described in detail here.

[0065] Connect the first and last points of the pump temperature curve at each collection time as the pump temperature straight line at each collection time, and use the area enclosed by the pump temperature curve at each collection time and the pump temperature straight line as the pump temperature area at each collection time. When the load is stable, the change curve of the pump temperature is close to linear change, and the pump temperature straight line can approximately represent the linear change of the pump temperature. Therefore, the area size of the pump temperature area can represent the linearity of the pump temperature change curve. The smaller the area, the closer the change of the pump temperature is to linearity. Figure 2 shown.

[0066] Therefore, according to the above analysis, the load intensity at each acquisition moment is calculated using the following formula: ; In the formula, It is The load intensity at each collection moment, It is The velocity change trend coefficient at the time of collection, It is The linear measurement coefficient of the pump body temperature change curve at the time of collection.

[0067] It should be noted that For the The mean of all elements in the first-order difference sequence of the pump flow sequence at the acquisition time, It is The area of ​​the pump body temperature zone at each collection moment.

[0068] It should be noted that when the load of the hydraulic power station is relatively stable, the flow rate is also relatively stable, and the temperature changes nearly linearly, so the load intensity Close to 0. When the flow rate of the hydraulic slurry pump slows down, the flow rate shows a decreasing trend, that is, is a negative number, and the faster the flow rate decreases, the more serious the lack of power of the hydraulic slurry pump; secondly, the greater the temperature fluctuation, that is, the greater the deviation from linearity, The larger the load, the positive value means that the load intensity of the hydraulic power station is positive, and the energy supply needs to be increased. The greater the load intensity, the greater the load increase of the hydraulic power station. When the flow rate of the hydraulic slurry pump increases and the temperature rises abnormally, that is, is a positive number, It is larger, which means that the hydraulic slurry pump has a large energy loss, that is, the hydraulic slurry pump has an overload problem; at this time, the load intensity is a negative value, that is, the load intensity of the hydraulic power station is negative, and the energy supply needs to be reduced, and the smaller the load intensity, the more the load of the hydraulic power station is reduced.

[0069] At this point, the load intensity at each collection moment is obtained.

[0070] Step S4, controlling the hydraulic pressure of the hydraulic power station according to the hydraulic risk index and the load intensity.

[0071] The hydraulic risk index and load intensity at each acquisition time are used as input, and the fuzzy control method is adopted. The membership function used is the Gaussian membership function, where the hydraulic risk index, load intensity and output flow rate correspond to 5 fuzzy sets respectively: negative large (NB), negative small (NS), zero (ZO), positive small (PS), positive large (PB), the defuzzification method is the centroid method, and the inference of the rules not covered is the adjacent rule inference method. The output is the flow data after the control of the hydraulic power station. The fuzzy control method is a well-known technology, and the specific process is not repeated here. According to the flow data of the hydraulic power station after control at each acquisition time, the output flow of the hydraulic power station is adjusted to achieve hydraulic control.

[0072] By monitoring the hydraulic power station and the load of the hydraulic power station, hydraulic automatic control is performed according to the changes in the monitoring parameters of the hydraulic power station and the changes in the load intensity, paying attention to the state of the hydraulic power station, avoiding the excessive burden on the hydraulic system caused by only considering the load changes, thereby causing the hydraulic system to become abnormal prematurely, or even causing shutdown. When performing hydraulic control, attention is paid to the changes in the hydraulic power station and its load at the same time, and the dynamic balance between the two is sought, which not only improves the working efficiency of the hydraulic power station and its load, but also ensures the safety of the hydraulic power station.

[0073] Based on the same inventive concept as the above method, an embodiment of the present application also provides a hydraulic automatic control system for a hydraulic power station, including a memory, a processor, and a computer program stored in the memory and running on the processor, and when the processor executes the computer program, it implements the steps of any one of the above-mentioned hydraulic automatic control methods for a hydraulic power station.

[0074] It should be noted that the above sequence of the embodiments of the present application is for description only and does not represent the advantages and disadvantages of the embodiments. The above is a description of a specific embodiment of this specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0075] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0076] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present application should be included in the protection scope of the present application.

Claims

1. A hydraulic automatic control method for a hydraulic power station, characterized in that: The method comprises the following steps: Collect engine speed data, hydraulic oil temperature data, hydraulic pressure data of the hydraulic power station, and collect pump flow data and pump body temperature data of the hydraulic slurry pump; Based on the change trend of the fitting curve of the hydraulic oil temperature data at all acquisition moments, an increasing hydraulic oil temperature sequence, an increasing hydraulic oil temperature slope sequence, a decreasing hydraulic oil temperature sequence and a decreasing hydraulic oil temperature slope sequence are obtained; Based on the correlation between the hydraulic oil temperature sequence, the increasing hydraulic oil temperature slope sequence, the correlation between the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence, and the value of the hydraulic oil temperature data, the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient at each acquisition time are obtained; Based on the magnitude relationship between the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient, the correlation between the engine speed data and the hydraulic oil temperature data, and the correlation between the engine speed data and the hydraulic pressure data, the hydraulic risk index at each collection time is obtained; Based on the average of the changes in the pump flow data, the flow rate change trend coefficient at each collection time is obtained; the pump body temperature data is subjected to a curve fitting algorithm to obtain the pump body temperature curve at each collection time; based on the trend of the pump body temperature curve, the linear measurement coefficient at each collection time is obtained; Based on the values ​​of the flow rate change trend coefficient and the linear measurement coefficient, the load intensity at each collection moment is obtained; and the hydraulic pressure of the hydraulic power station is controlled according to the hydraulic risk index and the load intensity.

2. A hydraulic automatic control method for a hydraulic power station as claimed in claim 1, characterized in that: The method for obtaining the increasing hydraulic oil temperature sequence, the increasing hydraulic oil temperature slope sequence, the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence is: For each collection moment, a sequence consisting of the hydraulic oil temperature data of all previous collection moments including the collection moment is used as the hydraulic oil temperature sequence of each collection moment; Performing curve fitting on the elements in the hydraulic oil temperature sequence at each acquisition moment to obtain the hydraulic oil temperature fitting curve at each acquisition moment; For the hydraulic oil temperature fitting curve at each collection time, the fitting values ​​corresponding to all collection times on the hydraulic oil temperature fitting curve are differentiated to obtain the derivative values ​​of the fitting values ​​at each collection time on the hydraulic oil temperature fitting curve, and all derivative values ​​greater than 0 are sorted in positive time order to construct an increasing hydraulic oil temperature slope sequence, and the hydraulic oil temperature data at all collection times with derivative values ​​greater than 0 are sorted in positive time order to obtain an increasing hydraulic oil temperature sequence; all derivative values ​​less than 0 are arranged in positive time order to construct a decreasing hydraulic oil temperature slope sequence, and the hydraulic oil temperature data at all collection times with derivative values ​​less than 0 are sorted in positive time order to obtain a decreasing hydraulic oil temperature sequence.

3. A hydraulic automatic control method for a hydraulic power station as claimed in claim 1, characterized in that: The method for obtaining the hydraulic oil temperature abnormality coefficient and the hydraulic pressure abnormality coefficient is: The calculation formula of the hydraulic oil temperature abnormality coefficient is: ; It is The hydraulic oil temperature abnormality coefficient at each collection moment, It is Hydraulic oil temperature data at each collection moment, is the correlation coefficient between the increasing hydraulic oil temperature sequence and the increasing hydraulic oil temperature slope sequence, is the correlation coefficient between the decreasing hydraulic oil temperature sequence and the decreasing hydraulic oil temperature slope sequence, , are the minimum function and the maximum function respectively. is the mean function; The hydraulic pressure abnormality coefficient at each collection moment is obtained by using the same method as the hydraulic oil temperature abnormality coefficient.

4. A hydraulic automatic control method for a hydraulic power station as claimed in claim 2, characterized in that: The method for obtaining the hydraulic risk index is: For the hydraulic pressure data and the engine speed data, the same method as the hydraulic oil temperature sequence is used to obtain the hydraulic pressure sequence and the engine speed sequence at each acquisition moment; The calculation formula of the hydraulic risk index is: ; In the formula, It is Hydraulic risk index at each acquisition moment; , They are The abnormal coefficient of hydraulic oil temperature and hydraulic pressure at each collection moment, is the correlation coefficient between the engine speed sequence at the i-th acquisition moment and the hydraulic oil temperature sequence at the i-th acquisition moment, For the The correlation coefficient between the engine speed sequence at the i-th acquisition moment and the hydraulic pressure sequence at the i-th acquisition moment, is the preset tuning coefficient.

5. A hydraulic automatic control method for a hydraulic power station as claimed in claim 2, characterized in that: The method for obtaining the flow velocity change trend coefficient is: For the pump flow data, the same method as the hydraulic oil temperature series is used to obtain the pump flow series at each collection time; The first-order difference sequence of the pump flow sequence at each acquisition moment is obtained, and the mean of all elements in the first-order difference sequence is calculated as the flow rate change trend coefficient at each acquisition moment.

6. A hydraulic automatic control method for a hydraulic power station as claimed in claim 1, characterized in that: The method for obtaining the pump body temperature curve is: For each collection moment, a sequence consisting of the pump body temperature data of all previous collection moments including the current collection moment is taken as the pump body temperature sequence of each collection moment, and a curve fitting algorithm is used to process the pump body temperature sequence of each collection moment to obtain the pump body temperature curve of each collection moment.

7. A hydraulic automatic control method for a hydraulic power station as claimed in claim 1, characterized in that: The method for obtaining the linear measurement coefficient is: The first and last points of the pump body temperature curve at each collection moment are connected as the pump body temperature straight line at each collection moment, the area enclosed by the pump body temperature curve at each collection moment and the pump body temperature straight line is taken as the pump body temperature area at each collection moment, and the area of ​​the pump body temperature area at each collection moment is taken as the linear measurement coefficient at each collection moment.

8. The hydraulic automatic control method for a hydraulic power station according to claim 1, characterized in that: The method for obtaining the load intensity is: The product of the negative value of the flow velocity change trend coefficient at each collection moment and the linear measurement coefficient is taken as the load intensity at each collection moment.

9. The hydraulic automatic control method for a hydraulic power station according to claim 1, characterized in that: The controlling of the hydraulic pressure of the hydraulic power station according to the hydraulic risk index and the load intensity includes: The hydraulic risk index and load intensity at each acquisition moment are used as the input of the fuzzy control method, and the flow data of the hydraulic power station after control at each acquisition moment is output.

10. A hydraulic automatic control system for a hydraulic power station, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the hydraulic automatic control method for a hydraulic power station as described in any one of claims 1-9 are implemented.

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