Filter detection system of hydraulic power machine

Abstract

The invention relates to the technical field of hydraulic technology and fluid filtration, and discloses a hydraulic power machine filtration detection system, which comprises a data acquisition module, a data processing module, a control module and an alarm module, and can efficiently operate through a real-time monitoring and quick response mechanism of network online data. When a problem occurs, the alarm system quickly locates the fault by using a preset index, so that maintenance personnel can intervene in time, and a data analysis module of the system is responsible for calculating a filtering obstacle rate, a hydraulic loss rate, a temperature obstacle index and a flow loss rate, so that the maintenance personnel can conveniently carry out maintenance. The data help to manage and optimize the operation condition of the hydraulic system, remove obstacles in time and reduce environmental pollution caused by the hydraulic system, and a multi-stage maintenance alarm system of the alarm module can detect and process potential problems in the early stage, so that the reliability and the working efficiency of equipment are improved, and the stability and the safety of the production process are ensured at the same time.

Description

Technical Field

[0001] The invention relates to the field of hydraulic technology and fluid filtering technology, and in particular to a hydraulic power machine filtering detection system. Background Art

[0002] The history and technological development of hydraulic power machine filtration detection systems were deeply influenced by the ancient Greek scientist Archimedes, whose discovery of the buoyancy principle and the proposed theory of liquid pressure laid a solid foundation for the development of hydraulic technology. As time goes by, hydraulic technology has been widely used in various mechanical equipment, and the filtration technology of hydraulic systems has also experienced continuous progress. By 2000, the dirt holding capacity of high-performance filter elements was about 6mg / cm², while modern filter elements have increased this value by more than 130% to 14mg / cm², while reducing pressure loss by about 50%. These technical improvements improve the cleanliness of hydraulic oil throughout its entire service life and meet the market's demand for longer replacement cycles, higher operating safety, higher separation efficiency, and better compatibility with new generation hydraulic oils.

[0003] The integration of multidisciplinary technologies has played an important role in the development of hydraulic control technology. The ISO committee has developed special test procedures to supplement the basic steady-state flow test to ensure that the performance of hydraulic filters in actual use meets the expected standards. However, despite these advances, the existing technology of hydraulic power machine filtration detection systems still has some shortcomings. For example, the faults of hydraulic station systems are often difficult to find, which requires maintenance personnel to not only be familiar with the working principles of the hydraulic station, but also have a certain amount of practical experience to accurately diagnose the problem. In addition, water and other contaminants also have a negative impact on the performance of hydraulic systems. For example, water is more easily compressed than oil and lacks sealing and lubrication capabilities, which may cause a series of problems such as corrosion of metal parts. Therefore, hydraulic power machine filtration detection systems still face many challenges in improving the performance and reliability of hydraulic equipment. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides a hydraulic power machine filter detection system, which has the advantages of easy fault diagnosis and environmental protection, and solves the problems of difficult fault diagnosis and pollution.

[0005] (II) Technical solution To achieve the above-mentioned purpose, the present invention provides the following technical solution: comprising a data acquisition module, a data processing module, a control module and an alarm module; The data acquisition module includes a filtering data unit, an auxiliary data unit and an electrical data unit. The filtering data unit is connected to the filtering instrument through a network to collect the filtering data set in real time, and transmits it to the data processing module through the network. The auxiliary data unit is connected to the online monitoring instrument through a network to collect the auxiliary data set in real time, and transmits it to the data processing module through the network. The electrical data unit is connected to the voltage meter through the network to collect the electrical data set in real time, and transmits it to the data processing module through the network. The data acquisition module is connected to the data processing module through the network; The data processing module includes a power element unit and an auxiliary element unit. The power element unit calculates the equipment filtering obstacle rate according to the filtering data set. The auxiliary element unit calculates the hydraulic loss rate based on the auxiliary data set , Temperature Barrier Index and flow loss rate The auxiliary component unit calculates the voltage stability index based on the filter data set and the electrical data set , the data processing module is connected to the control module via a network; The control module filters the obstacle rate according to the device , Hydraulic loss rate , Temperature Barrier Index , flow loss rate and voltage stability index To determine the equipment fault level and calculate the maintenance level, the control module is connected to the alarm module through the network; The alarm module filters the obstacle rate according to the equipment , Hydraulic loss rate , Temperature Barrier Index , flow loss rate and voltage stability index The alarm is classified according to the numerical value.

[0006] Preferably, the filtering data unit numbers the filtering device fault operation data set and the filtering device normal operation data set according to the filtering data set characteristics, and the filtering device fault operation data set is numbered as follows: , , ,… The data set number for the normal operation of the filtering device is , , ,… .

[0007] Preferably, the equipment filtering failure rate Calculated based on the filtered data set, the calculation formula is: In the formula, Indicates the device filtering failure rate, , , ,… Indicates filtering equipment failure operation data set, , , ,… Indicates filtering the normal operation data set of the device. Indicates the number of times the filter equipment fails to operate. Indicates the number of normal operation of the filtering equipment. Represents external influencing factors.

[0008] Preferably, the auxiliary data unit numbers the pressure data, volume flow data and temperature data according to the auxiliary data set characteristics, and the normal pressure data, normal volume flow data and normal temperature data are numbered as , , The pressure fault data, volume flow fault data, and temperature fault data are numbered as , , .

[0009] Preferably, the hydraulic loss rate Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the hydraulic loss rate, Indicates normal pressure data. Indicates pressure fault data, Indicates the number of failures.

[0010] Preferably, the temperature barrier index Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the temperature barrier index, Indicates normal temperature data. Indicates temperature fault data, Indicates the number of failures.

[0011] Preferably, the flow loss rate Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the flow loss rate, Indicates normal volume flow data, Represents volume flow fault data, Indicates the number of failures.

[0012] Preferably, the electrical data unit numbers the electrical normal data set and the electrical fault data set according to the electrical data set characteristics, and the electrical normal data set is numbered as , , ,… , the electrical fault data set number is , , ,… .

[0013] Preferably, the voltage stability index Calculated based on the filter data set and the electrical data set, the calculation formula is: *b In the formula, It represents the sum of the data set of the filtering device failure operation and the data set of the filtering device normal operation. Indicates the number of times the filter equipment fails to operate. Indicates the number of normal operation of the filtering equipment. represents the sum of the electrical normal data set and the electrical fault data set, Indicates the number of electrical normal times. Indicates the number of electrical faults. , b represents and exist *The weight of b.

[0014] Preferably, the working process of the control module and the alarm module is: S1, when the device filtering failure rate >2%, hydraulic loss rate >2%, Temperature Barrier Index >3%, flow loss rate >4% and voltage stability index When the value is >3%, the control module determines it as a secondary maintenance according to the preset range, and the alarm module receives the information and activates the yellow light of the exceeding area; S2, when the device filtering failure rate >6%, hydraulic loss rate >9%, Temperature Barrier Index >6%, flow loss rate >7% and voltage stability index When it is >5%, the control module will perform level one maintenance according to the preset range, that is, emergency maintenance, and the machine needs to be shut down for maintenance immediately. The alarm module will receive the information and start the red light in the exceeded area.

[0015] Compared with the prior art, the present invention provides a hydraulic power machine filter detection system, which has the following beneficial effects: 1. The present invention can effectively manage and improve the operation of the hydraulic system by calculating and monitoring the equipment filtration obstacle rate, hydraulic loss rate, temperature obstacle index and flow loss rate, clear obstacles in time, and reduce environmental pollution problems caused by the hydraulic system, thereby bringing many benefits such as improving production efficiency, saving energy and extending equipment life.

[0016] 2. In the present invention, in case S1, the control module determines that it is a second-level maintenance, and the alarm module activates a yellow alarm. In case S2, the control module determines that it is a first-level maintenance, that is, emergency maintenance, and the alarm module activates a red alarm. The advantages of this process include: preventive maintenance: by setting specific thresholds, the system can detect abnormalities in time before the problem becomes serious and perform preventive maintenance, thereby avoiding greater losses; reduce downtime: by distinguishing between different levels of maintenance, it is possible to reasonably arrange maintenance time and resources and reduce the impact on production; improve safety: for emergency situations of first-level maintenance, immediate shutdown for maintenance can avoid potential safety risks and ensure the safety of operators and equipment ; Improve efficiency: Through real-time monitoring and rapid response, the system can maintain a high operating efficiency and reduce the decline in production efficiency caused by faults; Easy to diagnose problems: When the system issues an alarm, it can quickly locate the problem through preset indicators, allowing maintenance personnel to take quick measures; Universality: The design and setting of the monitoring system have a certain degree of universality and can be applied to different hydraulic systems, making it easy to promote and apply. Combining the above advantages, this multi-level maintenance alarm system based on a predetermined range can effectively detect and deal with potential problems at an early stage, thereby improving the reliability and work efficiency of the equipment, while ensuring the stability and safety of the production process, making the fault diagnosis process easier. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0018] See also Figure 1, including data acquisition module, data processing module, control module and alarm module; The data acquisition module includes a filtering data unit, an auxiliary data unit and an electrical data unit. The filtering data unit is connected to the filtering instrument through a network to collect the filtering data set in real time, and transmits it to the data processing module through the network. The auxiliary data unit is connected to the online monitoring instrument through a network to collect the auxiliary data set in real time, and transmits it to the data processing module through the network. The electrical data unit is connected to the voltage meter through the network to collect the electrical data set in real time, and transmits it to the data processing module through the network. The data acquisition module is connected to the data processing module through the network; The data processing module includes a power element unit and an auxiliary element unit. The power element unit calculates the equipment filtering obstacle rate according to the filtering data set. The auxiliary element unit calculates the hydraulic loss rate based on the auxiliary data set , Temperature Barrier Index and flow loss rate The auxiliary component unit calculates the voltage stability index based on the filter data set and the electrical data set , the data processing module is connected to the control module via a network; The control module filters the obstacle rate according to the device , Hydraulic loss rate , Temperature Barrier Index , flow loss rate and voltage stability index To determine the equipment fault level and calculate the maintenance level, the control module is connected to the alarm module through the network; The alarm module filters the obstacle rate according to the device , Hydraulic loss rate , Temperature Barrier Index , flow loss rate and voltage stability index The alarm is classified according to the numerical value.

[0019] The filtering data unit numbers the filtering device fault operation data set and the filtering device normal operation data set according to the filtering data set characteristics, and the filtering device fault operation data set is numbered as follows: , , ,… The data set number for the normal operation of the filtering device is , , ,… .

[0020] Equipment filtering failure rate Calculated based on the filtered data set, the calculation formula is: In the formula, Indicates the device filtering failure rate, , , ,… Indicates filtering equipment failure operation data set, , , ,… Indicates filtering the normal operation data set of the device. Indicates the number of times the filter equipment fails to operate. Indicates the number of normal operation of the filtering equipment. Represents external influencing factors.

[0021] The auxiliary data unit numbers the pressure data, volume flow data and temperature data according to the auxiliary data set characteristics, and the normal pressure data, normal volume flow data and normal temperature data are numbered as , , The pressure fault data, volume flow fault data, and temperature fault data are numbered as , , .

[0022] Hydraulic loss rate Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the hydraulic loss rate, Indicates normal pressure data. Indicates pressure fault data, Indicates the number of failures.

[0023] Temperature barrier index Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the temperature barrier index, Indicates normal temperature data. Indicates temperature fault data, Indicates the number of failures.

[0024] Flow loss rate Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the flow loss rate, Indicates normal volume flow data, Represents volume flow fault data, Indicates the number of failures.

[0025] The electrical data unit numbers the electrical normal data set and the electrical fault data set according to the electrical data set characteristics. The electrical normal data set is numbered as , , ,… , the electrical fault data set number is , , ,… .

[0026] Voltage stability index Calculated based on the filter data set and the electrical data set, the calculation formula is: *b In the formula, It represents the sum of the data set of the filtering device failure operation and the data set of the filtering device normal operation. Indicates the number of times the filter equipment fails to operate. Indicates the number of normal operation of the filtering equipment. represents the sum of the electrical normal data set and the electrical fault data set, Indicates the number of electrical normal times. Indicates the number of electrical faults. , b represents and exist *The weight of b.

[0027] The working process of the control module and the alarm module is: S1, when the device filtering failure rate >2%, hydraulic loss rate >2%, Temperature Barrier Index >3%, flow loss rate >4% and voltage stability index When the value is >3%, the control module determines it as a secondary maintenance according to the preset range, and the alarm module receives the information and activates the yellow light of the exceeding area; S2, when the device filtering failure rate >6%, hydraulic loss rate >9%, Temperature Barrier Index >6%, flow loss rate >7% and voltage stability index When it is >5%, the control module will perform level one maintenance according to the preset range, that is, emergency maintenance, and the machine needs to be shut down for maintenance immediately. The alarm module will receive the information and start the red light in the exceeded area.

[0028] The advantage is that in the S1 case, the control module determines it as a second-level maintenance and the alarm module activates a yellow alarm, while in the S2 case, the control module determines it as a first-level maintenance, that is, emergency maintenance, and the alarm module activates a red alarm. The advantages of this process include: Preventive maintenance: By setting specific thresholds, the system can detect abnormalities in time before the problem becomes serious and perform preventive maintenance, thereby avoiding greater losses; Reduce downtime: By distinguishing between different levels of maintenance, it is possible to reasonably arrange maintenance time and resources to reduce the impact on production; Improve safety: For emergency situations of first-level maintenance, immediate shutdown for maintenance can avoid potential safety risks and ensure the safety of operators and equipment; Improve High efficiency: through real-time monitoring and rapid response, the system can maintain a high operating efficiency and reduce the decline in production efficiency caused by faults; easy to diagnose problems: when the system issues an alarm, it can quickly locate the problem through preset indicators, allowing maintenance personnel to take quick measures; universality: the design and setting of the monitoring system have a certain universality and can be applied to different hydraulic systems, which is easy to promote and apply. Combining the above advantages, this multi-level maintenance alarm system based on a predetermined range can effectively detect and deal with potential problems at an early stage, thereby improving the reliability and work efficiency of the equipment, while ensuring the stability and safety of the production process, making the fault diagnosis process easier.

[0029] Although 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 the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A hydraulic power machine filter detection system, characterized in that: It includes data acquisition module, data processing module, control module and alarm module; The data acquisition module includes a filtering data unit, an auxiliary data unit and an electrical data unit. The filtering data unit is connected to the filtering instrument through a network to collect the filtering data set in real time, and transmits it to the data processing module through the network. The auxiliary data unit is connected to the online monitoring instrument through a network to collect the auxiliary data set in real time, and transmits it to the data processing module through the network. The electrical data unit is connected to the voltage meter through the network to collect the electrical data set in real time, and transmits it to the data processing module through the network. The data acquisition module is connected to the data processing module through the network; The data processing module includes a power element unit and an auxiliary element unit. The power element unit calculates the equipment filtering obstacle rate according to the filtering data set. The auxiliary element unit calculates the hydraulic loss rate based on the auxiliary data set , Temperature Barrier Index and flow loss rate The auxiliary component unit calculates the voltage stability index based on the filter data set and the electrical data set , the data processing module is connected to the control module via a network; The control module filters the obstacle rate according to the device , Hydraulic loss rate , Temperature Barrier Index , flow loss rate and voltage stability index To determine the equipment fault level and calculate the maintenance level, the control module is connected to the alarm module through the network; The alarm module filters the obstacle rate according to the equipment , Hydraulic loss rate , Temperature Barrier Index , flow loss rate and voltage stability index The alarm is classified according to the numerical value.

2. A hydraulic power machine filter detection system according to claim 1, characterized in that: The filtering data unit numbers the filtering device fault operation data set and the filtering device normal operation data set according to the filtering data set characteristics, and the filtering device fault operation data set is numbered as follows: , , ,… The data set number for the normal operation of the filtering device is , , ,… .

3. A hydraulic power machine filter detection system according to claim 1, characterized in that: The equipment filtering failure rate Calculated based on the filtered data set, the calculation formula is: In the formula, Indicates the device filtering failure rate, , , ,… Indicates filtering equipment failure operation data set, , , ,… Indicates filtering the normal operation data set of the device. Indicates the number of times the filter equipment fails to operate. Indicates the number of normal operation of the filtering equipment. Represents external influencing factors.

4. A hydraulic power machine filter detection system according to claim 1, characterized in that: The auxiliary data unit numbers the pressure data, volume flow data and temperature data according to the auxiliary data set characteristics, and the normal pressure data, normal volume flow data and normal temperature data are numbered as , , The pressure fault data, volume flow fault data, and temperature fault data are numbered as , , .

5. A hydraulic power machine filter detection system according to claim 4, characterized in that: The hydraulic loss rate Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the hydraulic loss rate, Indicates normal pressure data. Indicates pressure fault data, Indicates the number of failures.

6. A hydraulic power machine filter detection system according to claim 4, characterized in that: The Temperature Barrier Index Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the temperature barrier index, Indicates normal temperature data. Indicates temperature fault data, Indicates the number of failures.

7. A hydraulic power machine filter detection system according to claim 4, characterized in that: The flow loss rate Calculated according to the auxiliary data set, the calculation formula is: In the formula, represents the flow loss rate, Indicates normal volume flow data, Represents volume flow fault data, Indicates the number of failures.

8. A hydraulic power machine filter detection system according to claim 4, characterized in that: The electrical data unit numbers the electrical normal data set and the electrical fault data set according to the electrical data set characteristics, and the electrical normal data set is numbered as , , ,… , the electrical fault data set number is , , ,… .

9. A hydraulic power machine filter detection system according to claim 1, characterized in that: The voltage stability index Calculated based on the filter data set and the electrical data set, the calculation formula is: *b In the formula, It represents the sum of the data set of the filtering device failure operation and the data set of the filtering device normal operation. Indicates the number of times the filter equipment fails to operate. Indicates the number of normal operation of the filtering equipment. represents the sum of the electrical normal data set and the electrical fault data set, Indicates the number of electrical normal times. Indicates the number of electrical faults. , b represents and exist *The weight of b.

10. A hydraulic power machine filter detection system according to claim 1, characterized in that: The working process of the control module and the alarm module is: S1, when the device filtering failure rate >2%, hydraulic loss rate >2%, Temperature Barrier Index >3%, flow loss rate >4% and voltage stability index When the value is >3%, the control module determines it as a secondary maintenance according to the preset range, and the alarm module receives the information and activates the yellow light of the exceeding area; S2, when the device filtering failure rate >6%, hydraulic loss rate >9%, Temperature Barrier Index >6%, flow loss rate >7% and voltage stability index When it is >5%, the control module will perform level one maintenance according to the preset range, that is, emergency maintenance, and the machine needs to be shut down for maintenance immediately. The alarm module will receive the information and start the red light in the exceeded area.

Images