System and method for big data-based intelligent control of integrated compressor

Abstract

A system and method for big data-based intelligent control of an integrated compressor. The system comprises: an oil filter (1), the output end of the oil filter (1) being sequentially connected to an oil path b and an oil inlet of a compressor, and the input end of the oil filter (1) being sequentially connected to an oil path a and an oil supply system (7), wherein a pressure switch (2), a flow meter II (6), and an oil flow switch (3) are sequentially provided on said oil path b; the pressure switch (2) is arranged close to the oil filter (1), and the oil flow switch (3) is arranged close to the compressor; and a flow meter I (5) and the pressure switch (2) used for detecting the pressure difference between an oil outlet and an oil inlet of the oil filter (1), wherein the flow meter I (5) is in signal connection with a protection module (4), and the input end of the flow meter I is connected to an oil outlet of the pressure switch (2); and the flow meter II (6) is used for measuring the oil input amount of the compressor and is in signal connection with the protection module (4). According to the system, both the impurities and the oil input amount in the oil inlet pipeline of the compressor can be measured, thereby preventing the oil pressure in an oil inlet pipeline from excessively large or excessively small.

Description

Integrated compressor intelligent control system and method based on big data Technical Field

[0001] The present invention relates to an integrated compressor, and in particular to an intelligent control system and method for an integrated compressor based on big data. Background Art

[0002] At present, when traditional compressors are used in units, they need to be equipped with appropriate oil filters, oil pressure differential switches, oil flow switches and other components to ensure their normal operation.

[0003] The numerous protection devices increase the complexity for the generator set plant to distinguish signals and provide solutions based on different signals.

[0004] Summary of the Invention

[0005] The purpose of the present invention is to provide an integrated intelligent compressor control system and method based on big data, which can simultaneously detect impurities and oil flow in the compressor oil inlet pipeline, and avoid excessive or insufficient oil pressure in the oil inlet pipeline. To achieve the above purpose, the technical solution adopted is as follows:

[0006] An integrated compressor intelligent control system based on big data, comprising:

[0007] The oil filter 1, whose output end is connected to the oil circuit b and the oil inlet of the compressor in sequence, and whose input end is connected to the oil circuit a and the oil supply system 7 in sequence;

[0008] The connecting oil line b is provided with a pressure switch 2, a flow meter 6, and an oil flow switch 3 in sequence; the pressure switch 2 is provided close to the oil filter 1, and the oil flow switch 3 is provided close to the compressor;

[0009] and a flow meter 5 and the pressure switch 2 for detecting the pressure difference between the oil outlet and the oil inlet of the oil filter 1;

[0010] The flow meter 1 5 is connected to the protection module 4 signal, and its input end is connected to the oil outlet of the pressure switch 2;

[0011] The flow meter 2 6 is used to detect the oil flow into the compressor, and is connected to the protection module 4 by signal.

[0012] Preferably, the pressure switch 2 and the oil flow switch 3 are both pressure valves.

[0013] Preferably, the pressure switch 2 is fixed on the housing of the oil filter 1 .

[0014] Preferably, the protection module 4 is installed inside the compressor junction box.

[0015] An integrated compressor intelligent control method based on big data, comprising:

[0016] Steps to detect impurities in the compressor oil inlet pipeline:

[0017] The flow meter 5 transmits the flow signal to the protection module 4 in real time, and the protection module 4 determines the pressure difference;

[0018] When the pressure difference exceeds the set value of pressure switch 2, the pressure difference switch 2 is automatically disconnected, causing the oil circuit b to be broken;

[0019] At this time, the protection module 4 cannot detect the flow signal transmitted by the flow meter 1 5, and the protection module 4 sends a command to reduce the oil supply to the oil supply system 7;

[0020] Steps to detect the oil level in the compressor:

[0021] When the flow rate measured by flow meter 2 6 is less than the set value of flow switch 3, flow switch 3 is automatically closed and oil circuit b is cut off;

[0022] Since the protection module 4 receives and determines the flow signal output by the flow meter 2 6 in real time, at this time, the protection module 4 sends an instruction to reduce the oil supply amount to the oil supply system 7.

[0023] Preferably, the protection module 4 issues an alarm signal while issuing the oil supply instruction.

[0024] Compared with the prior art, the advantages of the present invention are:

[0025] 1. Simultaneously detect impurities and oil inlet volume in the compressor oil inlet pipeline to avoid excessive or insufficient oil pressure in the oil inlet pipeline.

[0026] 2. The oil filter, differential pressure switch, oil flow switch, etc. are integrated on the compressor body, eliminating the need for additional piping and installation locations.

[0027] 3. No additional customized control logic is required on the unit side. This proprietary integrated protection system outputs signals and controls the corresponding actions of the compressor, reducing system complexity. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 is a structural diagram of an integrated compressor intelligent control system based on big data;

[0029] Figure 2 is a schematic diagram of the integrated compressor intelligent control system based on big data.

[0030] Among them, 1-oil filter, 2-pressure switch, 3-oil flow switch, 4-protection module 4, 5-flow meter 1, 6-flow meter 2, 7-oil supply system. DETAILED DESCRIPTION

[0031] The following is a more detailed description of the integrated big data-based intelligent compressor control system and method of the present invention, with reference to schematic diagrams. Preferred embodiments of the present invention are shown, and it should be understood that those skilled in the art may modify the present invention described herein while still achieving the beneficial effects of the present invention. Therefore, the following description should be understood as a general guide for those skilled in the art and not as a limitation of the present invention.

[0032] As shown in Figures 1 and 2, the integrated compressor intelligent control system based on big data includes:

[0033] The oil filter 1 has its output end connected to the oil circuit b and the oil inlet of the compressor in sequence, and its input end connected to the oil circuit a and the oil supply system 7 in sequence.

[0034] The connecting oil line b is provided with a pressure switch 2, a flow meter 2 6, and an oil flow switch 3 in sequence. The pressure switch 2 is provided close to the oil filter 1, and the oil flow switch 3 is provided close to the compressor.

[0035] The flow meter 5 and the pressure switch 2 are used to detect the pressure difference between the oil outlet and the oil inlet of the oil filter 1.

[0036] The pressure switch 2 is installed in the oil circuit b and fixed on the housing of the oil filter 1. The flow meter 5 is connected to the protection module 4 for signal connection, and its input end is connected to the oil outlet of the pressure switch 2. Specifically, the pressure switch 2 is a pressure valve.

[0037] The output end of the pressure switch 2 is provided with a flow meter 5, which can monitor the flow rate of the oil outlet of the pressure switch 2. The protection module 4 will alarm if it is higher or lower than the standard after comparing it with the normal flow rate.

[0038] Working principle of pressure switch 2:

[0039] 1. The flow meter 5 transmits the flow signal to the protection module 4 in real time, and the protection module 4 determines the pressure difference.

[0040] When the pressure difference (the oil pressure of oil circuit a is known, that is, the oil pressure on oil circuit b) exceeds the set value of pressure switch 2, the pressure difference switch 2 automatically disconnects the protection, and the pressure switch 2 is disconnected, causing the oil circuit b to be open.

[0041] At this time, the flow signal transmitted by flow meter 1 5 is 0, that is, when the protection module 4 cannot detect the flow signal transmitted by flow meter 1 5, the protection module 4 sends an oil supply instruction (reduce the oil supply) to the oil supply system 7 and sends an alarm signal.

[0042] Ultimately, it prevents excessive impurities in the oil circuit from causing harm to the oil supply system 7.

[0043] 2. When the pressure difference is less than the set value, the pressure difference switch automatically resets.

[0044] Flow meter 2 6 and oil flow switch 3 are both installed on oil circuit b. Flow meter 2 6 is set close to oil filter 1, and oil flow switch 3 is set close to compressor and is a pressure valve.

[0045] The flow meter 2 6 is used to detect the oil flow into the compressor (the oil flow in oil circuit b 2) to prevent the compressor from losing oil. It is connected to the protection module 4 by signal.

[0046] The protection module 4 automatically switches the oil flow switch 3 on and off according to the size of the second flow rate.

[0047] Principle of oil flow switch 3:

[0048] 1. When the flow rate measured by flow meter 2 6 is less than the set value of flow switch 3, flow switch 3 is automatically closed and oil circuit b is cut off.

[0049] Since the protection module receives and determines the flow signal output by the flow meter 2 6 in real time, at this time, the protection module 4 sends an oil supply instruction (reduce the oil supply amount) to the oil supply system 7 and an alarm signal.

[0050] 2. When the flow rate returns to a value greater than the set value, oil circuit b is opened and protection module 4 releases the alarm state.

[0051] The protection module 4 is installed inside the compressor junction box, receives the flow signals from flow meter 1 5 and flow meter 2 6 and generates an alarm.

[0052] Working principle of integrated compressor intelligent control system based on big data:

[0053] Flow meter 1 5 and flow meter 2 6 transmit flow signals to the protection module 4 in real time.

[0054] 1. The steps for detecting impurities in the compressor oil inlet pipeline include:

[0055] The flow meter 5 transmits the flow signal to the protection module 4 in real time, and the protection module 4 determines the pressure difference.

[0056] When the pressure difference exceeds the set value of pressure switch 2, the pressure difference switch 2 automatically disconnects the protection, and the pressure switch 2 is disconnected, causing the oil circuit b to be open.

[0057] At this time, the protection module 4 cannot detect the flow signal transmitted by the flow meter 1 5, and the protection module 4 sends a command to reduce the oil supply amount to the oil supply system 7 and sends an alarm signal.

[0058] 2. The steps for detecting the oil intake of the compressor include:

[0059] When the flow rate measured by flow meter 2 6 is less than the set value of flow switch 3, flow switch 3 is automatically closed and oil circuit b is cut off.

[0060] Since the protection module receives and determines the flow signal output by the flow meter 2 6 in real time, at this time, the protection module 4 sends a command to reduce the oil supply amount to the oil supply system 7 and an alarm signal.

[0061] The above description is merely a preferred embodiment of the present invention and does not limit the present invention in any way. Any person skilled in the art who, without departing from the scope of the present invention, makes any equivalent substitution, modification, or other changes to the technical solution and technical content disclosed in the present invention shall be deemed to be within the scope of the present invention and still fall within the scope of protection of the present invention.

Claims

1. An integrated compressor intelligent control system based on big data, characterized in that: include: An oil filter (1), the output end of which is sequentially connected to the oil circuit b and the oil inlet of the compressor, and the input end of which is sequentially connected to the oil circuit a and the oil supply system (7); The connecting oil line b is provided with a pressure switch (2), a second flow meter (6), and an oil flow switch (3) in sequence; the pressure switch (2) is provided close to the oil filter (1), and the oil flow switch (3) is provided close to the compressor; and a flow meter (5) and the pressure switch (2) for detecting the pressure difference between the oil outlet and the oil inlet of the oil filter (1); The flow meter 1 (5) is connected to the protection module (4) for signal transmission, and its input end is connected to the oil outlet of the pressure switch (2); The second flow meter (6) is used to detect the oil flow into the compressor and is connected to the protection module (4) by signal.

2. The integrated compressor intelligent control system based on big data according to claim 1 is characterized in that: The pressure switch (2) and the oil flow switch (3) are both pressure valves.

3. The integrated compressor intelligent control system based on big data according to claim 1 is characterized in that: The pressure switch (2) is fixed on the housing of the oil filter (1).

4. The integrated compressor intelligent control system based on big data according to claim 1, characterized in that: The protection module (4) is installed inside the compressor junction box.

5. An integrated compressor intelligent control method based on big data, characterized in that: include: Steps to detect impurities in the compressor oil inlet pipeline: The flow meter 1 (5) transmits the flow signal to the protection module (4) in real time, and the protection module (4) determines the pressure difference; When the pressure difference exceeds the set value of the pressure switch (2), the pressure difference switch (2) automatically disconnects, causing the oil circuit b to be broken; At this time, the protection module (4) cannot detect the flow signal transmitted by the flow meter (5). (4) Sending a fuel supply reduction instruction to the fuel supply system (7); Steps to detect the oil level in the compressor: When the flow rate measured by flow meter 2 (6) is less than the set value of flow switch (3), flow switch (3) automatically closes and oil circuit b is cut off; Since the protection module (4) receives and determines the flow signal output by the second flow meter (6) in real time, at this time, the protection module (4) sends a command to reduce the oil supply amount to the oil supply system (7).

6. The integrated compressor intelligent control method based on big data according to claim 5 is characterized in that: The protection module (4) issues an alarm signal while issuing an oil supply instruction.

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