Online monitoring system and method for metal abrasive particles in shield machine oil

Abstract

The present invention provides an online monitoring system and method for metal abrasive particles in oil for a shield machine, the system comprising: a metal abrasive particle sensor, a flow meter, a conversion module and a pipeline, wherein the inlet and outlet of the pipeline are respectively connected to the main oil circuit of the shield machine; the flow meter is used to: monitor the flow of the oil flowing in through the inlet of the pipeline, and calculate the volume of the oil according to the flow; the metal abrasive particle sensor is connected to the flow meter, and is used to monitor the metal abrasive particles of the flowing oil to obtain the metal abrasive particle value; the conversion module is used to convert the volume of the oil and the metal abrasive particle value into a signal recognized by a PLC, and output it in real time, and the volume of the oil and the metal abrasive particle value are used for abnormality detection. The present invention can realize online monitoring of metal abrasive particles in oil for a shield machine, and has high reliability.

Description

Technical Field

[0001] The invention relates to the technical field of hydraulic oil for shield machines, and in particular to an online monitoring system and method for metal abrasive particles in oil for shield machines. Background Art

[0002] During the tunneling process of the shield machine, the content of metal abrasive particles in the oil directly reflects the health status of the mechanical motion structure. Through online monitoring of metal abrasive particles in the oil, excessive wear of the mechanical motion structure can be prevented, problems can be discovered in time, the occurrence of major accidents can be reduced, and the reliability of the equipment can be improved.

[0003] At present, the oil of shield machines is mostly tested offline. Among the various parameters tested, the detection of metal abrasive content is very necessary. However, offline detection leads to poor monitoring timeliness and failure to detect problems in a timely manner. Offline detection mainly detects the metal abrasive content of metal abrasives, and cannot detect the changing trend of metal abrasives, and cannot predict the damage of mechanical structures in advance. At present, online monitoring of metal abrasives is mainly predicted by the changing trend of metal abrasives, but the content of metal abrasives cannot be calculated. Both online and offline detection have their own shortcomings. Although the metal abrasives grow too fast and do not reach the alarm threshold of the metal abrasive content, the metal abrasive content of this mechanical active structure will inevitably exceed the set threshold in the future. Therefore, there is a need for an alarm for the metal abrasive content of oil and a change trend. Summary of the invention

[0004] The embodiment of the present invention provides an online monitoring system for metal abrasive particles in oil for a shield machine, which is used to realize online monitoring of metal abrasive particles in oil for a shield machine, and has high reliability. The system includes: a metal abrasive particle sensor, a flow meter, a conversion module and a pipeline, wherein:

[0005] The inlet and outlet of the pipeline are respectively connected to the main oil circuit of the shield machine;

[0006] The flow meter is used to: monitor the flow rate of the oil flowing in through the inlet of the pipeline, and calculate the volume of the oil according to the flow rate;

[0007] The metal abrasive particle sensor is connected to the flow meter to monitor the metal abrasive particles in the inflowing oil and obtain the metal abrasive particle value;

[0008] The conversion module is used to convert the volume of the oil and the metal abrasive particle value into a signal recognized by the PLC and output it in real time. The volume of the oil and the metal abrasive particle value are used for abnormality detection;

[0009] The metal wear particle sensor includes a plurality of channels, each channel detecting a type of metal wear particle;

[0010] The system also includes a PLC for:

[0011] At set time intervals, obtain the metal abrasive value of each channel;

[0012] The total volume of metal abrasive particles is calculated using the following formula: Among them, A i is the metal abrasive value of the ith channel, R i is the radius of the ith channel, n is the number of channels;

[0013] The metal abrasive content value T=V / L is calculated using the following formula, where L is the volume of the oil;

[0014] When the metal abrasive grain content value is greater than the corresponding threshold value, it is determined that the metal abrasive grain content value is abnormal.

[0015] The embodiment of the present invention provides an online monitoring method for metal abrasive particles in oil for a shield machine, which is used to realize online monitoring of metal abrasive particles in oil for a shield machine with high reliability. The method is applied to the aforementioned system, and includes:

[0016] Obtaining the volume of oil measured by a flow meter, wherein the flow meter is disposed at an inlet of a pipeline, and the inlet and outlet of the pipeline are respectively connected to a main oil circuit of a shield machine;

[0017] Obtaining a metal abrasive particle value measured by a metal abrasive particle sensor, wherein the metal abrasive particle sensor is connected to a flow meter;

[0018] The volume of the oil and the value of the metal abrasive particles are converted into signals recognized by the PLC and output in real time, and the volume of the oil and the value of the metal abrasive particles are used for abnormality detection;

[0019] The metal wear particle sensor includes a plurality of channels, each channel detecting a type of metal wear particle;

[0020] At set time intervals, obtain the metal abrasive value of each channel;

[0021] The total volume of metal abrasive particles is calculated using the following formula: Among them, A i is the metal abrasive value of the ith channel, R i is the radius of the ith channel, n is the number of channels;

[0022] The metal abrasive content value T=V / L is calculated using the following formula, where L is the volume of the oil;

[0023] When the metal abrasive grain content value is greater than the corresponding threshold value, it is determined that the metal abrasive grain content value is abnormal.

[0024] In an embodiment of the present invention, a metal abrasive particle sensor, a flow meter, a conversion module and a pipeline, wherein the inlet and the outlet of the pipeline are respectively connected to the main oil circuit of the shield machine; the flow meter is used to: monitor the flow of the oil flowing in through the inlet of the pipeline, and calculate the volume of the oil according to the flow; the metal abrasive particle sensor is connected to the flow meter, and is used to monitor the metal abrasive particles of the flowing oil to obtain the metal abrasive particle value; the conversion module is used to convert the volume of the oil and the metal abrasive particle value into a signal recognized by the PLC, and output it in real time, and the volume of the oil and the metal abrasive particle value are used for abnormality detection. Compared with the off-line monitoring method in the prior art, the metal abrasive particle sensor, the flow meter, the conversion module and the pipeline can realize the measurement, conversion and output of the volume of the oil and the metal abrasive particle value, with good timeliness, and connected to the main oil circuit of the shield machine, without any impact on the original hydraulic system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0026] Figure 1 It is an online monitoring system for metal abrasive particles of oil used in a shield machine according to an embodiment of the present invention;

[0027] Figure 2 The schematic diagram is that the inlet and outlet of the pipeline are respectively connected to the main oil circuit of the shield machine;

[0028] Figure 3 It is the second on-line monitoring system for metal abrasive particles of oil used in shield machine in the embodiment of the present invention;

[0029] Figure 4 The third on-line monitoring system for metal abrasive particles of oil used in a shield machine in an embodiment of the present invention;

[0030] Figure 5 A flow chart of early warning of growth factors and prediction of change trends of metal abrasive particles in an embodiment of the present invention;

[0031] Figure 6 This is a flow chart of performing early warning of metal abrasive content in an embodiment of the present invention;

[0032] Figure 7 It is a shield machine oil metal abrasive particle online monitoring system 4 in an embodiment of the present invention;

[0033] Figure 8 The flowchart of the method for online monitoring of metal abrasive particles in oil for shield machine in an embodiment of the present invention. DETAILED DESCRIPTION

[0034] To make the purpose, technical solution and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0035] In the description of this specification, the terms "include", "including", "have", "contain", etc. are all open terms, which mean including but not limited to. The descriptions with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", etc. mean that the specific features, structures or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. The order of steps involved in each embodiment is used to schematically illustrate the implementation of the present application, and the order of steps is not limited and can be appropriately adjusted as needed.

[0036] Figure 1 The shield machine oil metal abrasive particle online monitoring system 1 in the embodiment of the present invention comprises: a metal abrasive particle sensor 3, a flow meter 2, a conversion module 4 and a pipeline 1, wherein:

[0037] The inlet and outlet of the pipeline 1 are respectively connected to the main oil circuit of the shield machine;

[0038] The flow meter 2 is used to: monitor the flow rate of the oil flowing in through the inlet of the pipeline, and calculate the volume of the oil according to the flow rate;

[0039] The metal abrasive particle sensor 3 is connected to the flow meter 2 and is used to monitor the metal abrasive particles in the flowing oil to obtain the metal abrasive particle value;

[0040] The conversion module 4 is used to convert the volume of oil and the value of metal abrasive particles into signals recognized by PLC and output them in real time. The volume of oil and the value of metal abrasive particles are used for abnormality detection.

[0041] Specifically, the inlet and outlet of pipeline 1 are respectively connected to the main oil circuit of the shield machine. Figure 2 This is a schematic diagram of the inlet and outlet of the pipeline being connected to the main oil circuit of the shield machine. In this way, there is no need to shut down the machine. After monitoring, the hydraulic oil flows back to the circulating cooling system. The installation is simple and quick and does not affect the normal excavation of the shield machine.

[0042] Figure 3This is the second on-line monitoring system for metal abrasive particles of oil for a shield machine according to an embodiment of the present invention. In one embodiment, the system further comprises an oil pump 5 arranged at the inlet of the pipeline for pressing the oil for the shield machine into the flow meter.

[0043] In one embodiment, the metal wear particle sensor includes a plurality of channels, each channel detects a type of metal wear particles, and the metal wear particles include ferromagnetic metal wear particles and non-ferromagnetic metal wear particles.

[0044] Generally, the number of channels of the metal wear particle sensor can reach K (eg, 10), and the sensor can detect metal wear particles of K sizes and types.

[0045] Figure 4 The present invention is a shield machine oil metal abrasive particle online monitoring system 3. In one embodiment, the system further includes PLC6, which is used to provide an early warning of the metal abrasive particle growth factor parameter and predict the change trend of the metal abrasive particles. Figure 5 This is a flow chart of early warning of the growth factor and prediction of the change trend of metal abrasive particles in an embodiment of the present invention. The specific process includes:

[0046] Obtain four sets of metal abrasive particle values ​​at set intervals;

[0047] The growth factor value is calculated using the following formula: E = (Q4-Q3) / (Q2-Q1), where E is the growth factor value, and Q4, Q3, Q2, and Q1 are the values ​​of four consecutive groups of metal abrasive particles;

[0048] When the growth factor value is greater than the corresponding threshold value, determining that the growth factor value is abnormal;

[0049] Based on four consecutive sets of metal abrasive particle values, the changing trend of the metal abrasive particle values ​​is predicted.

[0050] In addition, in one embodiment, when the number of abnormal growth factor values ​​within a preset period is greater than a preset number, an alarm signal is generated.

[0051] In one embodiment, the PLC is also used to provide early warning of the metal abrasive content. Figure 6 This is a flow chart of performing early warning of metal abrasive content in an embodiment of the present invention, and the specific process includes:

[0052] At set time intervals, obtain the metal abrasive value of each channel;

[0053] The total volume of metal abrasive particles is calculated using the following formula: Among them, A i is the metal abrasive value of the ith channel, R i is the radius of the ith channel, K is the number of channels;

[0054] The metal abrasive content value is calculated using the following formula: T=V / L, where L is the volume of the oil.

[0055] When the metal abrasive grain content value is greater than the corresponding threshold value, it is determined that the metal abrasive grain content value is abnormal.

[0056] In one embodiment, the PLC is also used to:

[0057] When the number of abnormal metal abrasive content values ​​exceeds a preset number within a preset period, an alarm signal is generated.

[0058] That is, when an abnormality occurs for the first time, only a warning will appear, and an alarm signal will only appear when the number of abnormalities exceeds the preset number.

[0059] Figure 7 In the present invention, the shield machine oil metal abrasive particle online monitoring system 4 is provided. In one embodiment, the system further includes a display system 7 for:

[0060] Display metal abrasive parameter values ​​and corresponding alarm signals.

[0061] In summary, the system proposed in the embodiment of the present invention has the following beneficial effects:

[0062] First, there is no need to shut down the machine. After monitoring, the oil flows back to the main oil circuit of the shield machine. Since there is a pressure difference in the oil circuit, there is no need to equip it with a micro gear pump. The installation form of the present invention is simple and quick and does not affect the normal excavation of the shield machine.

[0063] Second, the alarm judgment is realized through PLC, using offline calculation method, and the tunnel network shutdown will not have any impact on the system.

[0064] Third, the changing trend of metal abrasive particles can be detected.

[0065] The embodiment of the present invention also provides an online monitoring method for metal abrasive particles in oil for shield machine, which is applied to the above system. Figure 8 The flowchart of the method for online monitoring of metal abrasive particles in oil for a shield machine according to an embodiment of the present invention includes:

[0066] Step 801, obtaining the volume of oil measured by a flow meter, wherein the flow meter is provided at the inlet of a pipeline, and the inlet and the outlet of the pipeline are respectively connected to the main oil circuit of the shield machine;

[0067] Step 802, obtaining a metal abrasive particle value measured by a metal abrasive particle sensor, wherein the metal abrasive particle sensor is connected to a flow meter;

[0068] Step 803, converting the volume of the oil and the value of the metal abrasive particles into signals recognized by the PLC and outputting them in real time, wherein the volume of the oil and the value of the metal abrasive particles are used for abnormality detection.

[0069] In one embodiment, the method further comprises:

[0070] Obtain four sets of metal abrasive particle values ​​at set intervals;

[0071] The growth factor value is calculated using the following formula: E = (Q4-Q3) / (Q2-Q1), where E is the growth factor value, and Q4, Q3, Q2, and Q1 are the values ​​of four consecutive groups of metal abrasive particles;

[0072] When the growth factor value is greater than the corresponding threshold value, determining that the growth factor value is abnormal;

[0073] Based on four consecutive sets of metal abrasive particle values, the changing trend of the metal abrasive particle values ​​is predicted.

[0074] In one embodiment, the method further comprises:

[0075] At set time intervals, obtain the metal abrasive value of each channel;

[0076] The total volume of metal abrasive particles is calculated using the following formula: Among them, A i is the metal abrasive value of the ith channel, R i is the radius of the ith channel, n is the number of channels;

[0077] The metal abrasive content value is calculated using the following formula: T=V / L, where L is the volume of the oil.

[0078] The method further comprises:

[0079] When the number of abnormal growth factor values ​​or metal abrasive content values ​​exceeds a preset number within a preset period, an alarm signal is generated.

[0080] In one embodiment, the method further comprises:

[0081] Display metal abrasive parameter values ​​and corresponding alarm signals.

[0082] In summary, the method proposed in the embodiment of the present invention has the following beneficial effects:

[0083] First, there is no need to shut down the machine. After monitoring, the oil flows back to the main oil circuit of the shield machine. Since there is a pressure difference in the oil circuit, there is no need to equip it with a micro gear pump. The installation form of the present invention is simple and quick and does not affect the normal excavation of the shield machine.

[0084] Second, the alarm judgment is realized through PLC, using offline calculation method, and the tunnel network shutdown will not have any impact on the system.

[0085] Third, the changing trend of metal abrasive particles can be detected.

[0086] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An online monitoring system for oil and metal abrasive particles for a shield machine, characterized in that: include: Metal abrasive particle sensor, flow meter, conversion module and pipeline, wherein: The inlet and outlet of the pipeline are respectively connected to the main oil circuit of the shield machine; The flow meter is used to: monitor the flow rate of the oil flowing in through the inlet of the pipeline, and calculate the volume of the oil according to the flow rate; The metal abrasive particle sensor is connected to the flow meter to monitor the metal abrasive particles in the inflowing oil and obtain the metal abrasive particle value; The conversion module is used to convert the volume of oil and the value of metal abrasive particles into signals recognized by the PLC and output them in real time. The volume of oil and the value of metal abrasive particles are used for abnormality detection; The metal wear particle sensor includes a plurality of channels, each channel detecting a type of metal wear particle; The system also includes a PLC for: At set time intervals, obtain the metal abrasive value of each channel; The total volume of metal abrasive particles is calculated using the following formula: Among them, A i is the metal abrasive value of the ith channel, R i is the radius of the ith channel, n is the number of channels; The metal abrasive content value T=V / L is calculated using the following formula, where L is the volume of the oil; When the metal abrasive grain content value is greater than the corresponding threshold value, it is determined that the metal abrasive grain content value is abnormal.

2. The system according to claim 1, characterized in that It also includes an oil pump arranged at the inlet of the pipeline, which is used to press the shield machine oil into the flow meter.

3. The system according to claim 1, characterized in that The metal abrasive grains include ferromagnetic metal abrasive grains and non-ferromagnetic metal abrasive grains.

4. The system according to claim 3, characterized in that PLC is used for: Obtain four sets of metal abrasive particle values ​​at set intervals; The growth factor value is calculated using the following formula: E = (Q4-Q3) / (Q2-Q1), where E is the growth factor value, and Q4, Q3, Q2, and Q1 are the values ​​of four consecutive groups of metal abrasive particles; When the growth factor value is greater than the corresponding threshold value, determining that the growth factor value is abnormal; Based on four consecutive sets of metal abrasive particle values, the changing trend of the metal abrasive particle values ​​is predicted.

5. The system according to claim 1, wherein: PLCs are also used for: When the number of abnormal growth factor values ​​or metal abrasive content values ​​exceeds a preset number within a preset period, an alarm signal is generated.

6. The system according to claim 5, characterized in that Also included is a display system for: Display metal abrasive parameter values ​​and corresponding alarm signals.

7. A method for online monitoring of metal abrasive particles in oil for a shield machine, characterized in that: The system according to any one of claims 1 to 6 comprises: Obtaining the volume of oil measured by a flow meter, wherein the flow meter is disposed at an inlet of a pipeline, and the inlet and outlet of the pipeline are respectively connected to a main oil circuit of a shield machine; Obtaining a metal abrasive particle value measured by a metal abrasive particle sensor, wherein the metal abrasive particle sensor is connected to a flow meter; The volume of the oil and the value of the metal abrasive particles are converted into signals recognized by the PLC and output in real time, and the volume of the oil and the value of the metal abrasive particles are used for abnormality detection; The metal wear particle sensor includes a plurality of channels, each channel detecting a type of metal wear particle; At set time intervals, obtain the metal abrasive value of each channel; The total volume of metal abrasive particles is calculated using the following formula: Among them, A i is the metal abrasive value of the ith channel, R i is the radius of the ith channel, n is the number of channels; The metal abrasive content value T=V / L is calculated using the following formula, where L is the volume of the oil; When the metal abrasive grain content value is greater than the corresponding threshold value, it is determined that the metal abrasive grain content value is abnormal.

8. The method according to claim 7, characterized in that Also includes: Obtain four sets of metal abrasive particle values ​​at set intervals; The growth factor value is calculated using the following formula: E = (Q4-Q3) / (Q2-Q1), where E is the growth factor value, and Q4, Q3, Q2, and Q1 are the values ​​of four consecutive groups of metal abrasive particles; When the growth factor value is greater than the corresponding threshold value, determining that the growth factor value is abnormal; Based on four consecutive sets of metal abrasive particle values, the changing trend of the metal abrasive particle values ​​is predicted.

9. The method according to claim 8, characterized in that Also includes: When the number of abnormal growth factor values ​​or metal abrasive content values ​​exceeds a preset number within a preset period, an alarm signal is generated.

10. The method according to claim 9, characterized in that Also includes: Display metal abrasive parameter values ​​and corresponding alarm signals.

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