Filtering performance detection system of pipeline filter

Abstract

The invention relates to the technical field of fluid machinery and fluid engineering, and discloses a filtering performance detection system of a pipeline filter, which comprises an input module, a processing module, a control module and an alarm module.The filtering performance detection system of the pipeline filter implements corresponding cleaning frequencies according to different cleaning coefficient intervals, realizes fine management of filtering equipment, and improves the filtering performance of the pipeline filter. The self-adaptive adjustment mechanism ensures efficient operation of the equipment, avoids resource waste caused by frequent or unnecessary cleaning, guarantees continuity of the production process, and further improves the efficiency of the equipment by comprehensively considering standard exceeding information of the filtering efficiency, the fault position, the cleaning difficulty index and the cleaning coefficient. According to the invention, timely performance monitoring, rapid fault positioning, effective cleaning guidance, reasonable cleaning period and maintenance quality improvement of the state of the filtering equipment are realized, the integration of the above functions not only improves the operation efficiency and reliability of the equipment, but also optimizes the maintenance process, and finally realizes optimization of the performance of the equipment and smoothness of the production process.

Description

Technical Field

[0001] The invention relates to the technical field of fluid machinery and fluid engineering, and in particular to a filtering performance detection system for a pipeline filter. Background Art

[0002] The pipe-filter concept originates from data flow-oriented software architecture, which advocates a structured approach to processing data streams. In this architecture, individual data processing steps are encapsulated in filter components, while data itself is transferred between filters through pipelines. This design not only supports multiple operations and processing on data but also enables efficient parallel processing. Importantly, it allows for flexible reorganization, reuse, and replacement of filters without the need for intermediate data storage.

[0003] In practical fluid filtration applications, pipeline filter technology exhibits several advantageous features, including simple design, rapid backwashing, and minimal flow and pressure loss during operation. These characteristics enable pipeline filters to effectively remove solid impurities while conveying liquids, ensuring the normal operation of other equipment. Modern pipeline filters are often integrated with intelligent control systems, such as PLCs or PACs. The addition of these automated systems improves filtration accuracy and the stability of effluent water quality while reducing manual intervention.

[0004] To ensure the reliability and long-term performance of pipeline filters, it is crucial to perform flow parameter analysis to assess strain on the filter screen. This involves a detailed analysis of the fluid parameters that influence strain on the filter screen, ensuring that the filter screen is not damaged by transient flow instabilities during gas flows containing solid impurities. The development and application of new materials have significantly improved filter performance, further enhancing their reliability and efficiency in a variety of applications.

[0005] Despite these advances, however, traditional detection methods remain inefficient and unable to meet the demands of rapid and large-scale testing. Manual or traditional automated testing methods are prone to misjudgments or omissions, which not only impacts the long-term effectiveness of filters but also increases maintenance costs. Furthermore, existing detection methods can be overly simplistic, failing to comprehensively assess filter performance under varying operating conditions, limiting their adaptability and flexibility. Summary of the Invention

[0006] (1) Technical problems solved In view of the deficiencies in the prior art, the present invention provides a filtration performance detection system for a pipeline filter, which has the advantages of high detection efficiency and low cost, and solves the problems of low detection efficiency and high cost.

[0007] (2) Technical solution To achieve the above-mentioned object, the present invention provides the following technical solution: comprising an input module, a processing module, a control module and an alarm module; The input module includes a filter parameter unit, a filter equipment parameter unit and a cleaning equipment parameter unit; The filtering parameter unit is connected to the pipeline online monitoring instrument through the network to collect the filtering parameter set, and is numbered and connected to the processing module. The filtering equipment parameter unit is connected to the equipment online monitoring instrument through the network to collect the filtering equipment parameter set, and is numbered and connected to the processing module. The cleaning equipment parameter unit is connected to the cleaning equipment online monitoring instrument through the network to collect the cleaning equipment parameter set, and is numbered and connected to the processing module. The input module is connected to the data processing module through the network; The data processing module includes a filter parameter analysis unit, a filter equipment parameter analysis unit and a cleaning equipment parameter analysis unit. The filter parameter analysis unit calculates the filter efficiency according to the filter equipment parameter set. The filter device parameter analysis unit calculates the filter device fault location based on the filter device parameter set. The cleaning equipment parameter analysis unit calculates the cleaning difficulty index based on the cleaning equipment parameter set. , the filtration efficiency and cleaning difficulty index Calculate and generate cleaning coefficients together , the data processing module is connected to the control module and the alarm module through a network; The control module is configured to determine the fault location of the filtering device. Statistics of filtration equipment failure types and determination of failure locations, the control module uses the cleaning coefficient The size of the water determines the frequency of cleaning; The alarm module is based on the filtration efficiency , Filtration equipment failure location , cleaning difficulty index and cleaning coefficient Abnormal information will be sent to relevant areas to notify relevant personnel to carry out necessary inspections and maintenance work.

[0008] Preferably, the filtering parameter unit numbers the liquid detection data in the pipes before and after the filter according to the filtering parameter set characteristics, and the parameter set number of the liquid detection data in the pipe before the filter is 、 、 、… The data set number for the liquid detection in the pipe after the filter is 、 、 、… .

[0009] Preferably, the filtering parameter analysis unit calculates the filtering efficiency according to the filtering equipment parameter set , and its calculation formula is: In the formula, Indicates the filtration efficiency, 、 、 、… Indicates the liquid detection data parameter set in the pipe before the filter. 、 、 、… Represents the liquid detection data set in the pipe after the filter. Indicates the number of test items.

[0010] Preferably, the filtering device parameter unit numbers all normal parameter sets of the equipment and the normal parameter sets of the filtering device according to the characteristics of the filtering device parameter set. 、 、 、… , the normal parameter set number of the filtering device is 、 、 、… .

[0011] Preferably, the filter device parameter analysis unit calculates the filter device fault location based on the filter device parameter set. , and its calculation formula is: In the formula, Indicates the location of the filter equipment failure. Indicates the location of the filter equipment failure identified by the monitoring equipment of a single pipeline, Indicates the location of filtration equipment failure identified by monitoring equipment on multiple pipelines.

[0012] Preferably, the cleaning equipment parameter unit numbers the cleaning equipment parameter set according to its characteristics, and the cleaning equipment parameter set is numbered 、 、 、… .

[0013] Preferably, the cleaning equipment parameter analysis unit calculates the cleaning difficulty index based on the cleaning equipment parameter set. , and its calculation formula is: In the formula, Indicates the cleaning difficulty index, 、 、 、… Represents the cleaning equipment parameter set, Indicates the number of cleaning times. Indicates cleaning time.

[0014] Preferably, the cleaning coefficient By filtration efficiency and cleaning difficulty index The calculation formula is: In the formula, Indicates the filtration efficiency, Indicates the cleaning difficulty index, Indicates filtration efficiency.

[0015] Preferably, the cleaning coefficient <0.2, the control module controls the cleaning frequency to once every four hours, 0.2 < the cleaning coefficient <0.5, the cleaning frequency is controlled at once every two hours, 0.5<the cleaning coefficient When the value is <0.8, the cleaning frequency should be controlled to once every half an hour.

[0016] Preferably, the alarm module is based on the filtration efficiency , Filtration equipment failure location , cleaning difficulty index and cleaning coefficient The system can obtain the exceeding standard information, determine the fault location of the filtration equipment, and carry out targeted inspection and repair by using professional tools.

[0017] Compared with the prior art, the present invention provides a filtration performance detection system for a pipeline filter, which has the following beneficial effects: 1. The present invention achieves refined management of the filtration equipment by implementing corresponding cleaning frequencies for different cleaning coefficient intervals. This adaptive adjustment mechanism ensures that the equipment maintains efficient operation while avoiding resource waste caused by frequent or unnecessary cleaning. In addition, through the intelligent adjustment of the cleaning frequency, the reliability of the equipment is enhanced and the continuity of the production process is guaranteed. The combined effect of the above measures has enabled the pipeline filter to achieve significant benefits in detection efficiency and cost control, and optimized overall performance.

[0018] 2. The present invention realizes all-round monitoring and intelligent response of the filtration equipment status through the alarm module by comprehensively considering the information of exceeding the standard of filtration efficiency, fault location, cleaning difficulty index and cleaning coefficient. This integrated management mechanism has the following beneficial effects: timely performance monitoring: by tracking the filtration efficiency in real time, the alarm module can identify performance degradation early and prevent production quality problems caused by inefficient filtration; fast fault location: when receiving the information of exceeding the standard of the fault location, the alarm module can quickly diagnose the problem, reduce the diagnosis time, speed up the maintenance progress, and thus shorten the equipment downtime; effective cleaning guidance: using the cleaning difficulty index, maintenance personnel can obtain Accurate information about the difficulty and time required for the cleaning process helps improve cleaning efficiency and effectiveness; reasonable cleaning cycle: by analyzing the cleaning coefficient data, the cleaning frequency can be reasonably arranged to avoid excessive or insufficient cleaning, extend equipment life, and reduce production obstacles caused by blockages; improve maintenance quality: the use of professional tools and classified targeted inspections and maintenance ensures the accuracy and efficiency of maintenance work and reduces the failure rate during equipment operation; in summary, the comprehensive management strategy of the alarm module not only improves the operating efficiency and reliability of the equipment, but also optimizes the maintenance process, reduces operating costs, and ultimately achieves the optimization of equipment performance and smooth production processes. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION 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.

[0020] See also Figure 1 , including input module, processing module, control module and alarm module; The input module includes a filter parameter unit, a filter equipment parameter unit and a cleaning equipment parameter unit; The filtering parameter unit is connected to the pipeline online monitoring instrument through the network to collect the filtering parameter set, and is numbered and connected to the processing module. The filtering equipment parameter unit is connected to the equipment online monitoring instrument through the network to collect the filtering equipment parameter set, and is numbered and connected to the processing module. The cleaning equipment parameter unit is connected to the cleaning equipment online monitoring instrument through the network to collect the cleaning equipment parameter set, and is numbered and connected to the processing module. The input module is connected to the data processing module through the network; The data processing module includes a filter parameter analysis unit, a filter equipment parameter analysis unit and a cleaning equipment parameter analysis unit. The filter parameter analysis unit calculates the filter efficiency based on the filter equipment parameter set. The filter equipment parameter analysis unit calculates the filter equipment fault location based on the filter equipment parameter set. , the cleaning equipment parameter analysis unit calculates the cleaning difficulty index based on the cleaning equipment parameter set , the filtration efficiency and cleaning difficulty index Calculate and generate cleaning coefficients together , the data processing module is connected to the control module and the alarm module through a network; The control module determines the fault location of the filter equipment Statistics of filtration equipment failure types and determination of failure locations, the control module uses the cleaning coefficient The size of the water determines the frequency of cleaning; Alarm module based on filter efficiency , Filtration equipment failure location , cleaning difficulty index and cleaning coefficient Abnormal information will be sent to relevant areas to notify relevant personnel to carry out necessary inspections and maintenance work.

[0021] The filtering parameter unit numbers the liquid detection data in the pipes before and after the filter according to the filtering parameter set characteristics. The parameter set number of the liquid detection data in the pipe before the filter is 、 、 、… The data set number for the liquid detection in the pipe after the filter is 、 、 、… .

[0022] The filter parameter analysis unit calculates the filter efficiency based on the filter equipment parameter set , and its calculation formula is: In the formula, Indicates the filtration efficiency, 、 、 、… Indicates the liquid detection data parameter set in the pipe before the filter. 、 、 、… Represents the liquid detection data set in the pipe after the filter. Indicates the number of inspection items, timely discovering the performance degradation of filtration equipment and avoiding production quality problems.

[0023] The filtering device parameter unit numbers the normal parameter set of all devices and the normal parameter set of the filtering device according to the characteristics of the filtering device parameter set. 、 、 、… , the normal parameter set number of the filtering device is 、 、 、… .

[0024] The filter equipment parameter analysis unit calculates the filter equipment fault location based on the filter equipment parameter set , and its calculation formula is: In the formula, Indicates the location of the filter equipment failure. Indicates the location of the filter equipment failure identified by the monitoring equipment of a single pipeline, It indicates the fault location of the filtration equipment identified by the monitoring equipment of multiple pipelines. The calculation results can determine the fault location and assist the staff to quickly diagnose the cause of the fault, improve maintenance efficiency and reduce equipment downtime.

[0025] The cleaning equipment parameter unit numbers the cleaning equipment parameter set according to its characteristics. The cleaning equipment parameter set is numbered as follows: 、 、 、… .

[0026] The cleaning equipment parameter analysis unit calculates the cleaning difficulty index based on the cleaning equipment parameter set , and its calculation formula is: In the formula, Indicates the cleaning difficulty index, 、 、 、… Represents the cleaning equipment parameter set, Indicates the number of cleaning times. It indicates the cleaning time, can evaluate the difficulty of the cleaning process, provide a reference for maintenance personnel, improve the cleaning effect, evaluate the difficulty of the cleaning process, provide a reference for maintenance personnel, improve the cleaning effect, and serve as the basic skeleton of the cleaning coefficient.

[0027] Cleaning coefficient By filtration efficiency and cleaning difficulty index The calculation formula is: In the formula, Indicates the filtration efficiency, Indicates the cleaning difficulty index, Indicates filtration efficiency, arranges cleaning frequency according to the cleaning coefficient, extends equipment service life, and reduces production obstacles caused by blockage.

[0028] Cleaning coefficient <0.2, the control module controls the cleaning frequency to once every four hours. The lower cleaning frequency reduces the use of water, energy and detergents during the cleaning process, reduces unnecessary cleaning to maintain the continuous operation of the filtration equipment and improve production efficiency. 0.2 < the cleaning coefficient <0.5, the cleaning frequency is controlled at once every two hours, 0.5<the cleaning coefficient When the value is <0.8, the cleaning frequency should be controlled to once every half an hour.

[0029] The advantage is that by adopting different cleaning frequencies for different cleaning coefficient intervals, fine management of the filtration equipment can be achieved, which not only ensures the efficient operation of the equipment, but also avoids unnecessary waste of resources, and also improves the reliability of the equipment and the continuity of production.

[0030] Alarm module based on filter efficiency , Filtration equipment failure location , cleaning difficulty index and cleaning coefficient The system can obtain the exceeding standard information, determine the fault location of the filtration equipment, and carry out targeted inspection and repair by using professional tools.

[0031] The advantage is that the alarm module can timely detect the performance degradation of the filtration equipment based on the information of exceeding the standard of filtration efficiency, and avoid production quality problems caused by low filtration efficiency; based on the information of exceeding the standard of the fault position of the filtration equipment, it can quickly locate the cause of the fault, improve maintenance efficiency, and reduce equipment downtime; based on the information of exceeding the standard of the cleaning difficulty index, it can evaluate the difficulty of the cleaning process, provide reference cleaning time for maintenance personnel, and improve the cleaning effect; based on the information of exceeding the standard of the cleaning coefficient, it can understand the cleaning cycle of the filtration equipment and reasonably arrange the cleaning frequency, so as to extend the service life of the equipment and reduce production obstacles caused by blockage; through targeted inspection and maintenance classified by professional tools, it can improve the maintenance quality, ensure the normal operation of the equipment, and reduce the occurrence rate of failures.

[0032] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A filtration performance detection system for a pipeline filter, characterized in that: It includes an input module, a processing module, a control module and an alarm module; The input module includes a filtering parameter unit, a filtering equipment parameter unit and a cleaning equipment parameter unit; The filtering parameter unit is connected to the pipeline online monitoring instrument through the network to collect the filtering parameter set, and is numbered and connected to the processing module. The filtering equipment parameter unit is connected to the equipment online monitoring instrument through the network to collect the filtering equipment parameter set, and is numbered and connected to the processing module. The cleaning equipment parameter unit is connected to the cleaning equipment online monitoring instrument through the network to collect the cleaning equipment parameter set, and is numbered and connected to the processing module. The input module is connected to the data processing module through the network; The data processing module includes a filter parameter analysis unit, a filter equipment parameter analysis unit and a cleaning equipment parameter analysis unit. The filter parameter analysis unit calculates the filter efficiency according to the filter equipment parameter set. The filter device parameter analysis unit calculates the filter device fault location according to the filter device parameter set. The cleaning equipment parameter analysis unit calculates the cleaning difficulty index according to the cleaning equipment parameter set. , the filtration efficiency Cleaning Difficulty Index Calculate the cleaning factor together , the data processing module is connected with the control module and the alarm module through a network; The control module determines the fault location of the filtering device Statistics on the type of filtration equipment failure and determination of the fault location, the control module uses the cleaning coefficient The size of the water pipe determines the frequency of cleaning; The alarm module is based on the filtration efficiency , Filtration equipment failure location , Cleaning Difficulty Index and cleaning factor Abnormal information will be sent to relevant areas to notify relevant personnel to carry out necessary inspections and maintenance work.

2. A filtration performance detection system for a pipeline filter according to claim 1, characterized in that: The filtering parameter unit numbers the liquid detection data in the pipes before and after the filter according to the filtering parameter set characteristics. The parameter set number of the liquid detection data in the pipe before the filter is: , , ,… The data set number of the liquid detection data in the pipeline behind the filter is , , ,… .

3. A filtration performance detection system for a pipeline filter according to claim 2, characterized in that: The filtering parameter analysis unit calculates the filtering efficiency according to the filtering equipment parameter set , and its calculation formula is: In the formula, Indicates the filtration efficiency, , , ,… Indicates the liquid detection data parameter set in the pipe before the filter. , , ,… Represents the liquid detection data set in the pipe after the filter. Indicates the number of test items.

4. The filtration performance detection system of a pipeline filter according to claim 1, characterized in that: The filtering device parameter unit numbers all device normal parameter sets and filtering device normal parameter sets according to the filtering device parameter set characteristics. , , ,… , the normal parameter set number of the filtering device is , , ,… .

5. A filtration performance detection system for a pipeline filter according to claim 4, characterized in that: The filter device parameter analysis unit calculates the filter device fault location according to the filter device parameter set , and its calculation formula is: In the formula, Indicates the location of the filter equipment failure. Indicates the location of the filter equipment failure identified by the monitoring equipment of a single pipeline, Indicates the location of filter equipment failure identified by monitoring equipment on multiple pipelines.

6. The filtering performance detection system of a pipeline filter according to claim 1, characterized in that: The cleaning equipment parameter unit numbers the cleaning equipment parameter set according to its characteristics, and the cleaning equipment parameter set is numbered as follows: , , ,… .

7. A filtration performance detection system for a pipeline filter according to claim 6, characterized in that: The cleaning equipment parameter analysis unit calculates the cleaning difficulty index based on the cleaning equipment parameter set , and its calculation formula is: In the formula, Indicates the cleaning difficulty index, , , ,… Represents a set of cleaning equipment parameters, Indicates the number of cleaning times. Indicates cleaning time.

8. A filtration performance detection system for a pipeline filter according to claim 7, characterized in that: The cleaning factor By filtration efficiency Cleaning Difficulty Index The calculation formula is: In the formula, Indicates the filtration efficiency, Indicates the cleaning difficulty index, Indicates filtration efficiency.

9. The filtration performance detection system of a pipeline filter according to claim 1, characterized in that: The cleaning factor <0.2, the control module controls the cleaning frequency to once every four hours, 0.2 < the cleaning coefficient <0.5, the cleaning frequency is controlled to once every two hours, 0.5< the cleaning coefficient When <0.8, the cleaning frequency is controlled to once every half an hour.

10. The filtration performance detection system of a pipeline filter according to claim 1, characterized in that: The alarm module is based on the filtration efficiency , Filtration equipment failure location , Cleaning Difficulty Index and cleaning factor The excessive information can be obtained to determine the fault location of the filter equipment and conduct targeted inspection and repair using professional tools.

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