Load power control method for horizontal spiral discharging filter type centrifugal machine

Abstract

The invention discloses a load power control method for a horizontal spiral discharging filter type centrifugal machine, relates to the technical field of automatic control of separation machinery, and aims to solve the problems that real-time dynamic power adjustment and operation efficiency improvement are difficult to realize, and adjustment and control lag and load deviation exist. The continuous discharging pressure of the horizontal spiral discharging filtering type centrifugal machine is detected, abnormal pressure is recognized based on a preset pressure threshold value, the number of intervals of the abnormal pressure is counted, the pressure abnormal ratio is calculated by combining the preset total duration and the low-pressure duration of the discharging process of the total discharging time, and the filtering mode is judged to be a low-pressure low-frequency type or a low-pressure high-frequency type. And when the centrifugal machine is in the low-voltage high-frequency type, the discharging efficiency is analyzed and the regulation and control proportion is calculated by combining the filtering area and the outlet flow change amplitude, whether the load power is increased or not is judged according to the regulation and control proportion, and dynamic regulation and control of the power are achieved, so that the discharging efficiency and the operation stability of the centrifugal machine are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of automatic control of separation machinery, and more particularly to a load power control method for a horizontal spiral unloading filtering centrifuge. Background Art

[0002] As a highly efficient solid-liquid separation equipment, horizontal spiral unloading filter centrifuge is widely used in chemical, pharmaceutical, environmental protection, food processing and other industrial fields. Its core function is to separate solids and liquids in materials through high-speed rotation, and to continuously discharge solids through a spiral propulsion device. During the operation of existing horizontal spiral filter centrifuges, its load power is affected by many factors such as material properties, filtration resistance, unobstructed discharge and equipment structural parameters. Under long-term operation or conditions with large fluctuations in material viscosity, if there is filter cake blockage in the filtration area, abnormal spiral propulsion load, local backlog at the discharge port, etc., it often leads to significant fluctuations in the power of the main motor, reduced unloading efficiency, and even abnormal shutdown due to "no-load high speed" or "overload protection". In order to ensure the continuity of equipment operation and optimize energy consumption, fixed power operation or experience-based adjustment is usually adopted for control.

[0003] The current mainstream control method lacks the fine perception of dynamic characteristics such as pressure state and flow rate changes during filtration and unloading, making it difficult to achieve real-time dynamic power regulation and improve operating efficiency. There are problems of control lag and load deviation. Therefore, a load power control method for a horizontal spiral unloading filter centrifuge is proposed.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a load power control method for a horizontal spiral unloading filtering centrifuge, which solves the problems of difficulty in identifying filtration state fluctuations, power regulation lag and unstable unloading efficiency proposed in the above-mentioned background technology by using dynamic identification of unloading pressure threshold, classification and judgment of filtration mode, analysis of outlet flow variation amplitude and load power regulation mechanism based on unloading efficiency.

[0006] To achieve the above object, the present invention provides the following technical solution: a method for controlling the load power of a horizontal spiral unloading filtering centrifuge, comprising the following steps: Step S1: When unloading, the pressure of the horizontal spiral unloading filter centrifuge during the unloading process is detected, abnormal pressure is analyzed using a preset pressure threshold, and the number of unloading pressure intervals under abnormal pressure is counted; Step S2: Preset the total duration required for the entire unloading process, detect the proportion of pressure durations below the pressure threshold each time during the entire unloading process, thereby calculating the pressure anomaly ratio, and classify the current filtering mode into a low-pressure, low-frequency category or a low-pressure, high-frequency category based on the number of unloading pressure intervals; Step S3: When the filtration mode is low-pressure and high-frequency, the filtration area of ​​the horizontal spiral unloading filter centrifuge is called, multiple detection nodes are set, the discharge outlet flow rate is detected, and the discharge outlet flow rate change amplitude value is calculated; Step S4: Analyze the discharge efficiency and calculate the control ratio based on the comprehensive filter area and the discharge outlet flow rate change amplitude. Determine whether to increase the load power of the horizontal spiral discharge filter centrifuge according to the discharge efficiency. When increasing the load power of the horizontal spiral discharge filter centrifuge, use the control ratio to correct it.

[0007] In a preferred embodiment, in step S1, the total duration of the unloading process is used as a sampling period, and the time within the sampling period is evenly divided to obtain multiple sampling moments, and the unloading pressure of the horizontal spiral unloading filter centrifuge at each sampling moment is detected; pass The algorithm calculates the unloading pressure threshold and analyzes abnormal pressure: If the discharge pressure is greater than the discharge pressure threshold, it is marked as a normal pressure point; If the discharge pressure is less than the discharge pressure threshold, it is marked as an abnormal pressure point.

[0008] In a preferred embodiment, in step S1, the abnormal pressure points are sorted in time series; If multiple abnormal pressure points appear within consecutive sampling moments, they are counted as only one abnormal pressure point; if the sampling moments between any two abnormal pressure points are not consecutive, they are counted as two independent abnormal pressure points. The number of abnormal pressure points obtained by counting is the number of abnormal pressure intervals.

[0009] In a preferred embodiment, in step S2, the sampling time intervals of all abnormal pressure points are summed as the numerator, the total unloading time is obtained as the denominator, and the ratio thereof is used as the pressure abnormality ratio; The comprehensive pressure anomaly ratio and the number of abnormal pressure intervals are used to classify the current filtering mode through a preset fuzzy inference rule set.

[0010] In a preferred embodiment, in step S2, the pressure anomaly ratio and the number of abnormal pressure intervals are defined as input variables, which are divided into different fuzzy sets; The type of filtering pattern is used as the output variable and divided into low-voltage and low-frequency class and low-voltage and high-frequency class sets; A set of fuzzy rules is formulated to describe the impact of different input variables on output variables, and the filtering patterns are classified based on fuzzy reasoning.

[0011] In a preferred embodiment, in step S3, when the filtration mode is low-pressure and high-frequency, the filtration area of ​​the horizontal spiral discharge filter centrifuge is retrieved and recorded as A; The filtering period is preset and evenly divided into multiple detection nodes. The discharge outlet flow of each detection node is collected and merged into an outlet flow set according to the time series.

[0012] In a preferred embodiment, in step S3, the standard deviation method is used to calculate the discharge outlet flow rate variation value: The average value of the outlet flow rate set is calculated, and the result obtained by calculating the standard deviation based on the average value is used as the variation amplitude value of the discharge outlet flow rate.

[0013] In a preferred embodiment, the discharge efficiency is analyzed by comprehensively analyzing the filter area and the discharge outlet flow rate variation value: ,in, is the average value of the export flow set, is the discharge outlet flow rate variation value, E is the discharge efficiency, and A is the filtration area of ​​the horizontal spiral discharge filter centrifuge; Select a historical sample time period to calculate multiple unloading efficiencies, merge them into an unloading efficiency set, calculate the mean and standard deviation of the unloading efficiency set as a and b respectively, and calculate the unloading efficiency threshold: , is the unloading efficiency threshold.

[0014] In a preferred embodiment, in step S4, the control ratio is calculated based on the deviation between the discharge efficiency threshold and the discharge efficiency: , where k is the preset adjustment coefficient, To regulate the ratio; If the unloading efficiency is less than the unloading efficiency threshold and the control ratio is greater than zero, the load power of the filter centrifuge is adjusted; If the discharge efficiency is greater than or equal to the discharge efficiency threshold, the control ratio is equal to zero, and the load power of the filter centrifuge is not adjusted; Adjust the load power of the filter centrifuge based on the control ratio: ,in, is the preset initial load power, To correct the load power.

[0015] Technical effects and advantages of the present invention: The present invention detects the continuous unloading pressure of a horizontal spiral unloading filter centrifuge, analyzes abnormal pressure using a preset pressure threshold, counts the number of unloading pressure intervals under abnormal pressure, obtains the total unloading time, detects the duration of the pressure below the pressure threshold each time and calculates the pressure abnormality ratio, divides the current filtration mode into a low-pressure low-frequency type or a low-pressure high-frequency type in combination with the number of unloading pressure intervals, calls the filtration area of ​​the horizontal spiral unloading filter centrifuge when the filtration mode is the low-pressure high-frequency type, detects the unloading outlet flow rate and calculates the amplitude value of the unloading outlet flow rate change, analyzes the unloading efficiency in combination with the filtration area and calculates the control ratio, determines whether to increase the load power of the horizontal spiral unloading filter centrifuge according to the unloading efficiency and makes corrections based on the control ratio, thereby improving the unloading efficiency of the horizontal spiral unloading filter centrifuge. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The present invention is a flow chart of a method for controlling the load power of a horizontal spiral unloading filtering centrifuge.

[0017] Figure 2 The present invention is a schematic diagram of the steps of a method for controlling load power of a horizontal spiral unloading filtering centrifuge. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] Example 1 See also Figures 1 to 2 , a horizontal spiral unloading filter centrifuge load power control method, the specific operation process is as follows: Step S1: When unloading, the pressure of the horizontal spiral unloading filter centrifuge during the unloading process is detected, abnormal pressure is analyzed using a preset pressure threshold, and the number of unloading pressure intervals under abnormal pressure is counted; Step S2: Preset the total duration required for the entire unloading process, detect the proportion of pressure durations below the pressure threshold each time during the entire unloading process, thereby calculating the pressure anomaly ratio, and classify the current filtering mode into a low-pressure, low-frequency category or a low-pressure, high-frequency category based on the number of unloading pressure intervals; Step S3: When the filtration mode is low-pressure and high-frequency, the filtration area of ​​the horizontal spiral unloading filter centrifuge is called, multiple detection nodes are set, the discharge outlet flow rate is detected, and the discharge outlet flow rate change amplitude value is calculated; Step S4: Analyze the discharge efficiency and calculate the control ratio based on the comprehensive filter area and the discharge outlet flow rate change amplitude. Determine whether to increase the load power of the horizontal spiral discharge filter centrifuge according to the discharge efficiency. When increasing the load power of the horizontal spiral discharge filter centrifuge, use the control ratio to correct it.

[0020] The specific implementation is as follows: In step S1, the total duration of the unloading process is taken as a sampling period, and the time within the sampling period is evenly divided to obtain multiple sampling moments, and the unloading pressure of the horizontal spiral unloading filter centrifuge is detected at each sampling moment; pass The algorithm calculates the unloading pressure threshold for analyzing abnormal pressure: The discharge pressure at each acquisition moment is combined into a pressure data set and marked as ; Calculate the median: Get the median of the pressure data set and mark it as f; Calculate the absolute deviation: Calculate the absolute value of the difference between the discharge pressure at each acquisition moment and the median of the pressure data set, and merge them into the absolute deviation set; Calculate the median absolute deviation: take the median of the set of absolute deviations: ,in The pressure data set data, You can take 1, 2, 3, etc. is the median of the pressure data set, and MAD is the median absolute deviation; Calculate the discharge pressure threshold based on the median absolute deviation: ,in, is the unloading pressure threshold.

[0021] At each collection moment, if the unloading pressure is greater than the unloading pressure threshold, the unloading pressure at this collection moment is judged to be in a normal pressure state, and this collection moment is marked as a normal pressure point; if the unloading pressure is less than the unloading pressure threshold, the unloading pressure at this collection moment is judged to be in an abnormal pressure state, and this collection moment is marked as an abnormal pressure point.

[0022] The abnormal pressure points are sorted by time series. If multiple abnormal pressure points appear in continuous sampling moments, the continuous interval is regarded as an abnormal event and is counted as only one abnormal pressure point. If there is a sampling interval between any two abnormal pressure points, that is, they do not belong to continuous moments, they are counted as two independent abnormal pressure points. The number of abnormal pressure points obtained by statistics is the number of abnormal pressure intervals.

[0023] By continuously monitoring the unloading pressure in real time during the unloading process and performing abnormal pressure analysis based on the unloading pressure threshold, timely identification and statistics of abnormal unloading pressure conditions are achieved, providing accurate basic data for subsequent filtration mode classification, improving the accuracy and real-time performance of abnormal pressure identification, avoiding the decrease in unloading efficiency due to the failure to detect abnormal pressure in a timely manner, and ensuring the safe and stable operation of the horizontal spiral unloading filter centrifuge.

[0024] It should be noted that the piezoelectric pressure sensor is a sensing device that realizes pressure measurement based on the principle of piezoelectric effect. It uses the physical effect of piezoelectric materials generating electric charges when subjected to external pressure. It is used to monitor the internal pressure of fluids or materials in real time during the unloading process of horizontal spiral unloading filter centrifuges.

[0025] In step S2, the total duration required for the entire unloading process is preset and recorded as T, and the time periods of all abnormal pressure points are summed up and recorded as the total duration of abnormal pressure and recorded as , calculate the proportion of the total duration of abnormal pressure within the time period: , where R is the pressure anomaly ratio; When the pressure anomaly is relatively large, it means that the unloading pressure is lower than the unloading pressure threshold for a long time during the unloading process, reflecting that the operation status of the filtration system is relatively abnormal; when the pressure anomaly is relatively small, it means that the unloading pressure is generally stable during the unloading process, reflecting that the operation status of the filtration system is relatively normal.

[0026] The current filtering mode is classified by the comprehensive pressure anomaly ratio and the number of abnormal pressure intervals through a preset fuzzy inference rule set: The pressure anomaly ratio and the number of abnormal pressure intervals are defined as input variables and divided into different fuzzy sets, for example, “high”, “medium”, and “low” for the pressure anomaly ratio, and “few”, “medium”, and “many” for the number of abnormal pressure intervals; The type of the filter pattern is the output variable, which is divided into low-voltage and low-frequency class and low-voltage and high-frequency class sets; Formulate a set of fuzzy rules to describe the impact of different input variables on output variables. The definition of rules can be based on professional knowledge or obtained through data analysis and experiments. For example: Rule 1: If the pressure anomaly ratio is high and the number of abnormal pressure intervals is small, the filtering mode is judged to be low pressure and low frequency; Rule 2: If the pressure anomaly ratio is high and the number of abnormal pressure intervals is large, the filtering mode is judged to be low-pressure and high-frequency; Rule 3: If the pressure anomaly ratio is medium and the number of abnormal pressure intervals is large, the filtering mode is judged to be low pressure and high frequency; Rule 4: If the pressure anomaly ratio is medium and the number of abnormal pressure intervals is small, the filtering mode is judged to be low pressure and low frequency; Fuzzy reasoning is performed based on fuzzy rules. When the filtering mode is low pressure and high frequency, it means that abnormal pressure occurs frequently and lasts for a long time. When the filtering mode is low pressure and low frequency, it means that abnormal pressure lasts for a long time but occurs less frequently.

[0027] Based on the total unloading time and the duration of abnormal pressure, the pressure anomaly ratio is calculated, and the current filtration mode is divided in combination with the number of unloading pressure intervals. The abnormal pressure behavior in the unloading process is divided into low-pressure high-frequency type and low-pressure low-frequency type, which accurately reflects the fluctuation characteristics of the unloading pressure. Differentiated control strategies are formulated for different filtration modes, thereby improving the intelligence level of the unloading process.

[0028] It should be noted that the division of the fuzzy sets of input variables can be adjusted according to actual conditions. For example, for the pressure anomaly ratio, it can be subdivided into five fuzzy sets of "extremely high", "high", "medium", "low" and "extremely low" according to the historical statistical characteristics of pressure fluctuations in the unloading process, thereby improving the classification granularity, enhancing the system's sensitivity to abnormal situations and adjustment accuracy, and facilitating better precise adjustments according to different conditions. The specific settings are made by professionals and will not be elaborated here.

[0029] In step S3, when the filtration mode is low-pressure and high-frequency, the fluctuation of the discharge outlet flow is quantitatively analyzed to determine whether there is further unstable operating state in the discharge process, and the filtration area of ​​the horizontal spiral unloading filter centrifuge is called from the equipment structure parameter file.

[0030] The preset filtration cycle refers to the time interval that the horizontal spiral unloading filter centrifuge goes through when completing the entire filtration and unloading process. The filtration cycle is evenly divided into multiple detection nodes. The discharge outlet flow of each detection node is collected by the flow sensor and merged into an outlet flow set in time series.

[0031] The standard deviation method is used to calculate the change amplitude of the discharge outlet flow rate, which reflects the stability of the current discharge process: Calculate the average discharge outlet flow rate of the outlet flow set: , where n is the total number of sampling moments, For the The discharge outlet flow of each detection node, i takes values ​​of 1, 2, 3, etc. is the average value of the outlet flow; Calculate the change range of discharge outlet flow: ,in, is the change amplitude of discharge outlet flow; If the discharge outlet flow rate change amplitude is large, it means that the deviation between the flow value of each detection node and the average value during the filtration cycle is large, reflecting that the discharge outlet flow rate fluctuates violently and the unloading process is less stable. The load power of the horizontal spiral unloading filter centrifuge will be adjusted subsequently. If the discharge outlet flow rate change amplitude is small, it means that the flow value of each sampling node changes steadily and the outlet flow maintains continuous output, indicating that the current unloading process is more stable and the filtration system is in a relatively stable operating state.

[0032] For low-pressure and high-frequency filtering modes, the equipment filtering area parameters are called, multiple time detection nodes are set, the discharge outlet flow is monitored and the standard deviation of the flow change amplitude is calculated, thereby accurately reflecting the stability and fluctuation of the discharge flow, providing an effective basis for the quantitative evaluation of the discharge efficiency, improving the comprehensiveness and accuracy of the discharge process monitoring, and providing a data basis for subsequent power adjustment.

[0033] It should be noted that the equipment structure parameter file refers to a data set or technical information in the form of electronic documents that records the dimensions and functional parameters of the main structural components of the horizontal spiral unloading filter centrifuge; the flow sensor is used to collect the flow of the fluid medium at the discharge outlet of the horizontal spiral unloading filter centrifuge in real time, and is a measuring device that converts fluid flow parameters into electrical signal output. It can be used for real-time flow monitoring of liquids, gases or mixed media to support subsequent flow fluctuation analysis and unloading efficiency evaluation.

[0034] In step S4, the discharge efficiency is analyzed based on the comprehensive filter area and the discharge outlet flow rate variation value: ,in, is the average value of the export flow set, is the discharge outlet flow rate variation value, E is the discharge efficiency, and A is the filtration area of ​​the horizontal spiral discharge filter centrifuge; Discharging efficiency is a performance indicator for measuring the operating status of a horizontal spiral unloading filter centrifuge. It is used to reflect the stability and flow balance of the system under the current filtering conditions. When the discharging efficiency is higher, it means that the outlet flow fluctuates significantly per unit filtration area; when the discharging efficiency is lower, it means that the outlet flow fluctuates stably per unit filtration area.

[0035] By calculating the average and standard deviation of multiple unloading efficiencies, the unloading efficiency threshold is set to calculate the control ratio: Select a historical time point as the sample time point, calculate multiple unloading efficiencies at the sample time point, and merge them into an unloading efficiency set. Calculate the mean and standard deviation of the unloading efficiency set and mark them as a and b. The unloading efficiency threshold is: , is the unloading efficiency threshold; The unloading efficiency threshold combines the overall level and fluctuation range of the unloading efficiency to reflect the current normal unloading efficiency range of the equipment.

[0036] Calculate the control ratio by unloading efficiency threshold: , where k is the preset adjustment coefficient, which is used to control the adjustment range of the unloading efficiency. To get the maximum value in brackets, To regulate the ratio; If the unloading efficiency is less than the unloading efficiency threshold and the control ratio is greater than zero, the load power of the filter centrifuge is adjusted; If the discharge efficiency is greater than or equal to the discharge efficiency threshold, the control ratio is equal to zero, and the load power of the filter centrifuge is not adjusted; Determine whether to increase the load power of the horizontal spiral unloading filter centrifuge based on the unloading efficiency and make corrections based on the control ratio: ,in, is the preset initial load power, To correct the load power.

[0037] Through the correction of the control ratio, the load power of the equipment can be dynamically adjusted. When the unloading efficiency is low, the load power increases and the control ratio increases, thereby enhancing the unloading capacity of the equipment. When the unloading efficiency reaches or exceeds the unloading efficiency threshold, the control ratio approaches zero and the load power remains unchanged, thereby avoiding unnecessary energy consumption and mechanical load.

[0038] By comprehensively considering the filtration area and the fluctuation range of the discharge outlet flow, analyzing the discharge efficiency and calculating the load power control ratio, the load power is intelligently adjusted according to the efficiency level, and historical sample statistical data is used to realize dynamic threshold setting and ratio adjustment, thereby improving the adaptability and accuracy of the adjustment strategy, effectively optimizing the operating power configuration of the centrifuge, improving the discharge efficiency, reducing energy consumption, ensuring the long-term stable and efficient operation of the equipment, and promoting energy conservation, emission reduction and improved production efficiency.

[0039] It should be noted that the preset adjustment coefficient is used to control the proportional factor of the adjustment range to avoid drastic fluctuations in the equipment load due to excessive adjustment range, protect the safe operation of the equipment, and improve the stability and reliability of the system. It is set by professionals and will not be described in detail here; the preset initial load power refers to the default or set working power value of the horizontal spiral unloading filter centrifuge before adjustment or optimization control is performed, which can be obtained through the equipment structure parameter file or determined through historical operation data.

[0040] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0041] The above embodiments can be implemented in whole or in part via software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in the embodiments of this application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0042] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0043] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0044] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0045] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0046] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0047] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0048] 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 this application, or the portion that contributes to the prior art, or the 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 this application. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0049] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for controlling load power of a horizontal spiral unloading filter centrifuge, characterized in that: The following steps are involved: Step S1: When unloading, the pressure of the horizontal spiral unloading filter centrifuge during the unloading process is detected, abnormal pressure is analyzed using a preset pressure threshold, and the number of unloading pressure intervals under abnormal pressure is counted; Step S2: Preset the total duration required for the entire unloading process, detect the proportion of pressure durations below the pressure threshold each time during the entire unloading process, thereby calculating the pressure anomaly ratio, and classify the current filtering mode into a low-pressure, low-frequency category or a low-pressure, high-frequency category based on the number of unloading pressure intervals; Step S3: When the filtration mode is low-pressure and high-frequency, the filtration area of ​​the horizontal spiral unloading filter centrifuge is called, multiple detection nodes are set, the discharge outlet flow rate is detected, and the discharge outlet flow rate change amplitude value is calculated; Step S4: Analyze the discharge efficiency and calculate the control ratio based on the comprehensive filter area and the discharge outlet flow rate change amplitude. Determine whether to increase the load power of the horizontal spiral discharge filter centrifuge according to the discharge efficiency. When increasing the load power of the horizontal spiral discharge filter centrifuge, use the control ratio to correct it.

2. The method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 1, characterized in that: In step S1, the total duration of the unloading process is taken as a sampling period, and the time within the sampling period is evenly divided to obtain multiple sampling moments, and the unloading pressure of the horizontal spiral unloading filter centrifuge at each sampling moment is detected; pass The algorithm calculates the unloading pressure threshold and analyzes abnormal pressure: If the discharge pressure is greater than the discharge pressure threshold, it is marked as a normal pressure point; If the discharge pressure is less than the discharge pressure threshold, it is marked as an abnormal pressure point.

3. A method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 2, characterized in that: In step S1, the abnormal pressure points are sorted according to the time series; If multiple abnormal pressure points appear within consecutive sampling moments, they are counted as only one abnormal pressure point; if the sampling moments between any two abnormal pressure points are not consecutive, they are counted as two independent abnormal pressure points. The number of abnormal pressure points obtained by counting is the number of abnormal pressure intervals.

4. The method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 3, characterized in that: In step S2, the sampling time intervals of all abnormal pressure points are summed as the numerator, the total unloading time is obtained as the denominator, and the ratio thereof is used as the pressure abnormality ratio; The comprehensive pressure anomaly ratio and the number of abnormal pressure intervals are used to classify the current filtering mode through a preset fuzzy inference rule set.

5. The method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 4, characterized in that: In step S2, the pressure anomaly ratio and the number of abnormal pressure intervals are defined as input variables and divided into different fuzzy sets; The filter mode is used as the output variable, which is divided into low-voltage and low-frequency class and low-voltage and high-frequency class sets; A set of fuzzy rules is formulated to describe the impact of different input variables on output variables, and the filtering patterns are classified based on fuzzy reasoning.

6. The method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 5, characterized in that: In step S3, when the filtration mode is low-pressure and high-frequency, the filtration area of ​​the horizontal spiral discharge filter centrifuge is retrieved from the equipment structure parameter file and recorded as A; The filtering period is preset and evenly divided into multiple detection nodes. The discharge outlet flow of each detection node is collected and merged into an outlet flow set according to the time series.

7. The method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 5, characterized in that: In step S3, the standard deviation method is used to calculate the discharge outlet flow rate variation value: The average value of the outlet flow rate set is calculated, and the result obtained by calculating the standard deviation based on the average value is used as the variation amplitude value of the discharge outlet flow rate.

8. The method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 7, characterized in that: In step S4, the discharge efficiency is analyzed based on the comprehensive filter area and the discharge outlet flow rate variation value: ,in, is the average value of the export flow set, is the discharge outlet flow rate variation value, E is the discharge efficiency, and A is the filtration area of ​​the horizontal spiral discharge filter centrifuge; Select a historical sample time period to calculate multiple unloading efficiencies, merge them into an unloading efficiency set, calculate the mean and standard deviation of the unloading efficiency set as a and b respectively, and calculate the unloading efficiency threshold: , is the unloading efficiency threshold.

9. The method for controlling load power of a horizontal spiral unloading filtering centrifuge according to claim 8, characterized in that: In step S4, the control ratio is calculated based on the deviation between the discharge efficiency threshold and the discharge efficiency: , where k is the preset adjustment coefficient, To regulate the ratio; If the unloading efficiency is less than the unloading efficiency threshold and the control ratio is greater than zero, the load power of the filter centrifuge is adjusted; If the discharge efficiency is greater than or equal to the discharge efficiency threshold, the control ratio is equal to zero, and the load power of the filter centrifuge is not adjusted; Adjust the load power of the filter centrifuge based on the control ratio: ,in, is the preset initial load power, To correct the load power.

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