Intelligent condensing membrane process oil gas recovery metering pry

Abstract

The invention relates to the technical field of oil gas recovery, in particular to an intelligent condensing membrane process oil gas recovery metering pry which comprises a metering pry body, a connecting mechanism is arranged on the outer wall of the metering pry body and used for connecting the metering pry body and a recovery pipeline, and a base is fixedly connected to the bottom of the metering pry body. According to the intelligent condensing membrane process oil gas recovery metering pry, the metering pry body and the oil gas recovery device are connected through the connecting mechanism in the intelligent condensing membrane process oil gas recovery metering pry, and the problems that the height of a connecting pipeline of an existing metering pry is fixed, the connecting pipeline is not connected with the metering pry body, and the metering pry body is not connected with the oil gas recovery device are solved. When the position of an oil gas outlet of the recovery equipment is high, the installation and connection operation is tedious, and the working efficiency is low.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil and gas recovery, in particular to an intelligent condensing membrane process oil and gas recovery metering pry. BACKGROUND

[0002] The condensing membrane process oil and gas recovery is a high-efficiency oil and gas recovery method combining membrane separation technology and condensation principle, the core of which is to separate oil and gas components by using the selective permeability of high molecular membranes, and to realize liquid recovery through condensation. When oil and gas mixture passes through the high molecular membrane, hydrocarbon molecules preferentially permeate the membrane due to the difference in permeability, forming an enriched gas stream, while air and other components are intercepted and discharged. The high-concentration oil and gas after enrichment enters the condensing unit, and through multi-stage cooling (such as -35℃ to -110℃), hydrocarbons are liquefied and recovered. The concentration of non-methane total hydrocarbons in the tail gas can be reduced to below 10g / m³. The metering pry is a gas metering device integrated on a steel skid, which realizes precise control and metering of gas flow and pressure.

[0003] However, the existing metering pry still has some deficiencies, specifically: the height of the connecting pipeline of the existing metering pry is fixed, and when the oil and gas outlet position of the recovery equipment is high, the installation and connection operation is more cumbersome, and the work efficiency is low. SUMMARY

[0004] The present application aims to provide an intelligent condensing membrane process oil and gas recovery metering pry to solve the problems raised in the background art.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solution: An intelligent condensing membrane process oil and gas recovery metering pry, comprising a metering pry body, a connecting mechanism is arranged on the outer wall of the metering pry body, which is used for the connection operation of the metering pry body and the recovery pipeline, a base is fixedly connected to the bottom of the metering pry body, a control console is fixedly connected to the top of the base, and a storage battery is installed on the outer wall of the metering pry body.

[0006] As a preferred scheme of the present application, the connecting mechanism comprises a connecting pipe fixedly connected to the outer wall of the metering pry body, an adjusting pipe slidably connected to the inside of the connecting pipe, a sealing air bag fixedly connected to the inside of the connecting pipe and close to the adjusting pipe, an inner flow guide pipe fixedly connected to the outer wall of the sealing air bag, a fixed sleeve fixedly connected to the outer wall of the connecting pipe and close to the adjusting pipe, an adjusting piston rod fixedly connected to the inside of the fixed sleeve, a fixed plate fixedly connected to the top end of the adjusting piston rod and above the fixed sleeve, an outer flow guide pipe fixedly connected to the inside of the fixed sleeve and below the adjusting piston rod, a miniature air pump fixedly connected to the outer wall of the outer flow guide pipe and away from the adjusting piston rod, an electromagnetic valve fixedly connected to the outer wall of the inner flow guide pipe and the outer flow guide pipe, an inner spring fixedly connected to the bottom of the adjusting piston rod, a fixed ring fixedly connected to the outer wall of the adjusting pipe and above the connecting pipe, an adjusting rod rotatably connected to the inside of the fixed ring, an electric sliding rail fixedly connected to the inside of the adjusting rod, a sliding table mounted to the outer wall of the electric sliding rail, a connecting block fixedly connected to the outer wall of the sliding table and inside the adjusting rod, an electromagnet fixedly connected to the outer wall of the adjusting rod and inside the fixed ring, and a volute spring fixedly connected to the inside of the adjusting rod.

[0007] As a preferred scheme of the present application, the base is made of aluminum alloy, the control console is electrically connected to the battery, and the control console is internally provided with metering software, which comprises a data processing unit and a running judgment unit.

[0008] As a preferred scheme of the present application, the connecting pipe, the adjusting pipe, the fixed plate, the adjusting piston rod, the adjusting rod and the connecting block are all made of stainless steel, the connecting pipe and the adjusting pipe are both designed in L-shaped structure, the adjusting pipe penetrates through and extends out of the connecting pipe, the adjusting pipe is provided with a connecting flange, and the adjusting piston rod is slidably connected to the fixed sleeve, and the connecting block is slidably connected to the adjusting rod.

[0009] As a preferred scheme of the present application, the fixed sleeve, the adjusting piston rod, the fixed plate, the adjusting rod and the connecting block are all provided with four groups, the adjusting piston rod penetrates through and extends out of the fixed sleeve, the inner flow guide pipe penetrates through the connecting pipe and extends into the fixed sleeve, and the fixed plate, the adjusting pipe, the inner flow guide pipe and the outer flow guide pipe, the inner spring and the fixed sleeve, and the volute spring and the fixed ring are all fixedly connected.

[0010] As a preferred scheme of the present application, the connecting block is designed in T-shaped structure, the connecting block penetrates through and extends out of the adjusting rod, the sealing air bag is provided with multiple groups, and the miniature air pump, the electromagnetic valve, the electric sliding rail, the electromagnet and the control console are all electrically connected.

[0011] As a preferred scheme of the present application, the specific analysis step of the data processing unit is that the data processing unit collects metering pry body operation data and failure cases, extracts feature variables from the historical data of the failure cases, the feature variables include motor current mean value, motor noise root mean square value, lubricating oil temperature mean value, power oil side pressure mean value, bearing vibration acceleration root mean square value, bearing vibration acceleration peak value, bearing vibration acceleration spectrum peak value, bearing vibration acceleration envelope spectrum peak value, inlet check valve vibration acceleration root mean square value, inlet check valve vibration acceleration peak value, outlet check valve vibration acceleration root mean square value, and outlet check valve vibration acceleration peak value, combines the extracted feature variables with the corresponding metering pry body operation data to form a feature vector, and forms a source case and stores it in a failure case library.

[0012] As a preferred scheme of the present application, the specific analysis step of the operation judgment unit is that the operation judgment unit obtains current operation data of the metering pry body, performs normalization processing on the data, processes the normalized data by using a similarity measurement method based on Euclidean distance, calculates the similarity Ck of the current metering pry body operation data with the source cases, obtains the current metering pry body current operation state S according to the KNN algorithm, then takes the feature values of all source cases as input and the current metering pry body operation state Sm in the corresponding source case as output, constructs a PNN neural network and trains it, inputs the metering pry body current operation state S, and thus the current metering pry body operation state diagnosis result can be obtained.

[0013] Compared with the prior art, the present application has the following beneficial effects: 1. In this invention, an intelligent condensation membrane process oil and gas recovery metering skid is set up. The connecting mechanism in this device connects the metering skid body to the oil and gas recovery device. The metering skid body is moved below the outlet of the oil and gas recovery device. The control console opens the solenoid valve in the outer guide pipe and starts the micro air pump. The micro air pump sends air into the fixed sleeve through the outer guide pipe. The air entering the fixed sleeve pushes the adjusting piston rod outward. The outward-moving adjusting piston rod drives the adjusting pipe upward through the fixed plate. The rising adjusting pipe moves to the outlet position of the oil and gas recovery device. The control console closes the solenoid valve in the outer guide pipe and opens the solenoid valve in the inner guide pipe. Air no longer flows into the fixed sleeve through the outer guide pipe. The micro air pump sends air into the sealing airbag through the inner guide pipe. The sealing airbag expands and blocks... By closing the gap between the regulating pipe and the connecting pipe, the control panel deactivates the electromagnet, which no longer attracts the regulating rod. The spiral spring then rotates the regulating rod to a horizontal position. The horizontally rotated regulating rod clamps the connecting flange at the outlet of the oil and gas recovery device. The control panel activates the electric slide rail, which, via the slide table, drives the connecting block to slide. The sliding connecting block presses against and seals the connecting flange at the outlet of the oil and gas recovery device, ensuring the regulating pipe is tightly fitted to the flange. Workers then use bolts to connect the regulating pipe to the connecting flange at the outlet of the oil and gas recovery device, thus completing the installation of the metering skid. This installation is relatively convenient and quick, solving the problem of existing metering skids having fixed connecting pipe heights, which makes installation and connection operations cumbersome and inefficient when the oil and gas outlet of the recovery equipment is high.

[0014] 2. In this invention, the data processing unit collects the operating data and fault cases of the metering skid body and extracts feature variables from the historical data of the fault cases. The extracted feature variables and the corresponding operating data of the metering skid body are combined to form a feature vector, and the source cases are stored in the fault case library. The operation judgment unit obtains the current operating data of the metering skid body and performs normalization processing on the data. The Euclidean distance-based similarity measurement method is used to process the normalized data to calculate the similarity Ck between the current operating data of the metering skid body and the source cases. Then, the current operating state S of the metering skid body is obtained according to the KNN algorithm. Then, the feature values ​​of all source cases are used as input, and the current operating state Sm of the metering skid body in the corresponding source cases is used as output to construct and train a PNN neural network. By inputting the current operating state S of the metering skid body, the diagnostic result of the current operating state of the metering skid body can be obtained. The operating state of the metering skid body can be judged in a timely manner, which facilitates the maintenance of the metering skid body by workers. Attached Figure Description

[0015] Figure 1 This is a three-dimensional structural diagram of the present invention; Figure 2The connecting mechanism is a front view of the application; Figure 3 The connecting mechanism is a front view of the application Figure 2 The connecting mechanism is a front view of the application Figure 4 The connecting mechanism is a front view of the application Figure 2 The connecting mechanism is a front view of the application Figure 5 The connecting mechanism is a front view of the application Figure 2 The connecting mechanism is a front view of the application Figure 6 The connecting mechanism is a front view of the application

[0016] In the figure: 1, metering pry body; 2, connecting mechanism; 3, base; 4, control console; 5, battery; 6, metering software; 601, data processing unit; 602, operation judgment unit; 201, connecting pipe; 202, adjusting pipe; 203, sealing air bag; 204, inner guide pipe; 205, fixed sleeve; 206, adjusting piston rod; 207, fixed plate; 208, outer guide pipe; 209, micro air pump; 210, electromagnetic valve; 211, inner spring; 212, fixed ring; 213, adjusting rod; 214, electric sliding rail; 215, sliding table; 216, connecting block; 217, electromagnet; 218, volute spring. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the related drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0018] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the related drawings, and several embodiments of the present application are given. However, the present application can be realized in many different forms, and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0019] Embodiment, please refer to Figures 1-6 The present application provides a technical solution: An intelligent condensing membrane process oil and gas recovery metering pry comprises a metering pry body 1, a connecting mechanism 2 is arranged on the outer wall of the metering pry body 1, which is used for connecting operation of the metering pry body 1 and a recovery pipeline, a base 3 is fixedly connected to the bottom of the metering pry body 1, a control console 4 is fixedly connected to the top of the base 3, and a battery 5 is installed on the outer wall of the metering pry body 1.

[0020] The base 3 is made of aluminum alloy, the console 4 is electrically connected with the battery 5, the console 4 is internally provided with metering software 6, and the metering software 6 comprises a data processing unit 601 and a running judgment unit 602.

[0021] The specific analysis steps of the data processing unit 601 are as follows: the data processing unit 601 collects running data and fault cases of the metering pry body 1, extracts characteristic variables from historical data of the fault cases, the characteristic variables comprise motor current mean value, motor noise root mean square value, lubricating oil temperature mean value, power oil side pressure mean value, bearing vibration acceleration root mean square value, bearing vibration acceleration peak value, bearing vibration acceleration spectrum peak value, bearing vibration acceleration envelope spectrum peak value, inlet check valve vibration acceleration root mean square value, inlet check valve vibration acceleration peak value, outlet check valve vibration acceleration root mean square value, outlet check valve vibration acceleration peak value, forms a feature vector by combining the extracted characteristic variables with corresponding running data of the metering pry body 1, and forms a source case and stores it in a fault case library.

[0022] The specific analysis steps of the running judgment unit 602 are as follows: the running judgment unit 602 obtains current running data of the metering pry body 1, performs normalization processing on the data, processes the normalized data by using a similarity measurement method based on Euclidean distance, calculates a similarity Ck between the current running data of the metering pry body 1 and a source case, obtains a current running state S of the metering pry body 1 according to a KNN algorithm, then takes the characteristic values of all source cases as input and the current running state Sm of the metering pry body 1 in the corresponding source case as output, constructs a PNN neural network and trains it, inputs the current running state S of the metering pry body 1, and thus a running state diagnosis result of the current metering pry body 1 is obtained.

[0023] In this embodiment, reference is made to Figures 2-5The connecting mechanism 2 comprises a connecting pipe 201 fixedly connected to the outer wall of the metering pry body 1, an adjusting pipe 202 slidably connected in the connecting pipe 201, a sealing air bag 203 fixedly connected to the inner wall of the connecting pipe 201 and close to the adjusting pipe 202, an inner flow guide pipe 204 fixedly connected to the outer wall of the sealing air bag 203, a fixed sleeve 205 fixedly connected to the outer wall of the connecting pipe 201 and close to the adjusting pipe 202, an adjusting piston rod 206 fixedly connected to the inner wall of the fixed sleeve 205, a fixed plate 207 fixedly connected to the top end of the adjusting piston rod 206 and above the fixed sleeve 205, an outer flow guide pipe 208 fixedly connected to the inner wall of the fixed sleeve 205 and below the adjusting piston rod 206, a micro air pump 209 fixedly connected to the outer wall of the outer flow guide pipe 208 and away from the adjusting piston rod 206, an electromagnetic valve 210 fixedly connected to the outer wall of each of the inner flow guide pipe 204 and the outer flow guide pipe 208, an inner spring 211 fixedly connected to the bottom of the adjusting piston rod 206, a fixed ring 212 fixedly connected to the outer wall of the adjusting pipe 202 and above the connecting pipe 201, an adjusting rod 213 rotatably connected to the inner wall of the fixed ring 212, an electric sliding rail 214 fixedly connected to the inner wall of the adjusting rod 213, a sliding table 215 mounted to the outer wall of the electric sliding rail 214, a connecting block 216 fixedly connected to the outer wall of the sliding table 215 and in the adjusting rod 213, an electromagnet 217 fixedly connected to the outer wall of the adjusting rod 213 and in the fixed ring 212, and a vortex spring 218 fixedly connected to the inner wall of the adjusting rod 213.

[0024] The connecting pipe 201, the adjusting pipe 202, the fixed plate 207, the adjusting piston rod 206, the adjusting rod 213 and the connecting block 216 are all made of stainless steel, the connecting pipe 201 and the adjusting pipe 202 are both designed in L-shaped structure, the adjusting pipe 202 extends through and out of the connecting pipe 201, the outer wall of the adjusting pipe 202 is provided with a connecting flange, and the adjusting piston rod 206 is slidably connected to the fixed sleeve 205 and the connecting block 216 is slidably connected to the adjusting rod 213.

[0025] The fixed sleeve 205, the adjusting piston rod 206, the fixed plate 207, the adjusting rod 213 and the connecting block 216 are all provided with four groups, the adjusting piston rod 206 extends through and out of the fixed sleeve 205, the inner flow guide pipe 204 extends through the connecting pipe 201 and into the fixed sleeve 205, the fixed plate 207 is fixedly connected to the adjusting pipe 202, the inner flow guide pipe 204 is fixedly connected to the outer flow guide pipe 208, the inner spring 211 is fixedly connected to the fixed sleeve 205, and the vortex spring 218 is fixedly connected to the fixed ring 212.

[0026] The connecting block 216 is designed in T-shaped structure, the connecting block 216 penetrates and extends to the outside of the adjusting rod 213, the sealing air bag 203 is provided with multiple groups, the micro air pump 209, the electromagnetic valve 210, the electric sliding rail 214, the electromagnet 217 and the control console 4 are all electrically connected.

[0027] The working process of the present application is as follows: when the intelligent condensing membrane process oil gas recovery metering pry designed by the present application is running, the metering pry body 1 is moved below the discharge port of the oil gas recovery device, the control console 4 opens the electromagnetic valve 210 in the outer flow guide pipe 208 and starts the micro air pump 209, the micro air pump 209 sends air into the fixed sleeve 205 through the outer flow guide pipe 208, the air entering the fixed sleeve 205 pushes the adjusting piston rod 206 to move outward, the outward moving adjusting piston rod 206 drives the adjusting pipe 202 to move upward through the fixed plate 207, the rising adjusting pipe 202 moves to the position of the discharge port of the oil gas recovery device, the control console 4 closes the electromagnetic valve 210 in the outer flow guide pipe 208 and opens the electromagnetic valve 210 in the inner flow guide pipe 204, air no longer flows into the fixed sleeve 205 through the outer flow guide pipe 208, the micro air pump 209 sends air into the sealing air bag 203 through the inner flow guide pipe 204, the sealing air bag 203 expands and blocks the gap between the adjusting pipe 202 and the connecting pipe 201, the control console 4 closes the electromagnet 217, the electromagnet 217 no longer attracts the adjusting rod 213, the volute spring 218 drives the adjusting rod 213 to rotate to the horizontal state, the adjusting rod 213 in the horizontal state clamps the connecting flange of the discharge port of the oil gas recovery device, the control console 4 starts the electric sliding rail 214, the electric sliding rail 214 drives the connecting block 216 to slide through the sliding table 215, the sliding connecting block 216 tightly presses the connecting flange of the discharge port of the oil gas recovery device, so that the adjusting pipe 202 tightly adheres to the connecting flange of the discharge port of the oil gas recovery device, the worker connects the adjusting pipe 202 and the connecting flange of the discharge port of the oil gas recovery device by using the bolt, during installation, the connecting block 216 prevents the adjusting pipe 202 from shaking, thereby completing the installation operation of the metering pry body 1. The data processing unit 601 in the metering software 6 collects the metering pry body 1 operation data and fault cases and extracts feature variables from the historical data of the fault cases, forms feature vectors by combining the extracted feature variables with corresponding metering pry body 1 operation data, and stores the source cases in the fault case library. The metering skid body 1 and the oil and gas recovery device are started. The oil and gas recovery device begins to recover oil and gas. The metering skid body 1 measures the amount of oil and gas recovered. The operation judgment unit 602 in the metering software 6 obtains the current operation data of the metering skid body 1 and performs normalization processing on the data. The normalized data is processed using a similarity measurement method based on Euclidean distance to calculate the similarity Ck between the current operation data of the metering skid body 1 and the source case. Then, the current operation state S of the metering skid body 1 is obtained according to the KNN algorithm. Next, the feature values ​​of all source cases are used as input, and the current operation state Sm of the metering skid body 1 in the corresponding source case is used as output to construct and train a PNN neural network. By inputting the current operation state S of the metering skid body 1, the current operation state diagnosis result of the metering skid body 1 can be obtained. The worker determines whether to carry out maintenance on the metering skid body 1 based on the current state diagnosis result.

[0028] The metering skid body 1, control console 4, storage battery 5, miniature air pump 209, solenoid valve 210, electric slide rail 214, and electromagnet 217 used in this invention are all existing known electrical devices, and all can be directly purchased and used on the market. Their structure, circuit, and control principle are all existing known technologies. Therefore, the structure, circuit, and control principle of the metering skid body 1, control console 4, storage battery 5, miniature air pump 209, solenoid valve 210, electric slide rail 214, and electromagnet 217 will not be described in detail here.

[0029] All standard parts used in this application can be purchased from the market. The specific connection methods of each part adopt conventional methods such as bolts, rivets, and welding that are mature in the prior art. The machinery, parts and equipment adopt conventional models in the prior art and are also general components, which are common knowledge in this field.

[0030] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A smart condensation membrane process oil and gas recovery metering skid, comprising a metering skid body (1), characterized in that: The outer wall of the metering skid body (1) is provided with a connecting mechanism (2), which is used for connecting the metering skid body (1) to the recycling pipeline. The bottom of the metering skid body (1) is fixedly connected to a base (3), and the top of the base (3) is fixedly connected to a control console (4). A storage battery (5) is installed on the outer wall of the metering skid body (1).

2. The intelligent condensation membrane process oil and gas recovery metering skid according to claim 1, characterized in that: The connecting mechanism (2) includes a connecting pipe (201) fixedly connected to the outer wall of the metering skid body (1). An adjusting pipe (202) is slidably connected inside the connecting pipe (201). A sealing airbag (203) is fixedly connected inside the connecting pipe (201) and near the adjusting pipe (202). An inner guide pipe (204) is fixedly connected to the outer wall of the sealing airbag (203). A fixing sleeve (205) is fixedly connected to the outer wall of the connecting pipe (201) and near the adjusting pipe (202). An adjusting piston rod (206) is fixedly connected inside the fixing sleeve (205). A fixing plate (207) is fixedly connected to the top of the adjusting piston rod (206) and above the fixing sleeve (205). An outer guide pipe (208) is fixedly connected inside the fixing sleeve (205) and below the adjusting piston rod (206). The outer wall of the outer guide pipe (208) is fixedly connected away from the adjusting piston rod. A micro air pump (209) is fixedly connected at the position of the piston rod (206). Solenoid valves (210) are fixedly connected to the outer walls of the inner guide tube (204) and the outer guide tube (208). An inner spring (211) is fixedly connected to the bottom of the adjusting piston rod (206). A fixing ring (212) is fixedly connected to the outer wall of the adjusting tube (202) and above the connecting tube (201). An adjusting rod (213) is rotatably connected inside the fixing ring (212). An electric slide rail (214) is fixedly connected inside the adjusting rod (213). A slide table (215) is installed on the outer wall of the electric slide rail (214). A connecting block (216) is fixedly connected to the outer wall of the slide table (215) and inside the adjusting rod (213). An electromagnet (217) is fixedly connected to the outer wall of the adjusting rod (213) and inside the fixing ring (212). A spiral spring (218) is fixedly connected inside the adjusting rod (213).

3. The intelligent condensation membrane process oil and gas recovery metering skid according to claim 1, characterized in that: The base (3) is made of aluminum alloy. The control console (4) is electrically connected to the battery (5). The control console (4) is equipped with metering software (6). The metering software (6) includes a data processing unit (601) and an operation judgment unit (602).

4. The intelligent condensation membrane process oil and gas recovery metering skid according to claim 1, characterized in that: The connecting pipe (201), adjusting pipe (202), fixing plate (207), adjusting piston rod (206), adjusting rod (213), and connecting block (216) are all made of stainless steel. The connecting pipe (201) and adjusting pipe (202) are both L-shaped structures. The adjusting pipe (202) extends through and to the outside of the connecting pipe (201). A connecting flange is installed on the outer wall of the adjusting pipe (202). The adjusting piston rod (206) is connected to the fixing sleeve (205), and the connecting block (216) is connected to the adjusting rod (213) by sliding connection.

5. The intelligent condensation membrane process oil and gas recovery metering skid according to claim 1, characterized in that: The fixed sleeve (205), adjusting piston rod (206), fixed plate (207), adjusting rod (213), and connecting block (216) are all provided in four sets. The adjusting piston rod (206) passes through and extends to the outside of the fixed sleeve (205). The inner guide pipe (204) passes through the connecting pipe (201) and extends to the inside of the fixed sleeve (205). The connection between the fixed plate (207) and the adjusting pipe (202), the connection between the inner guide pipe (204) and the outer guide pipe (208), the connection between the inner spring (211) and the fixed sleeve (205), and the connection between the spiral spring (218) and the fixed ring (212) are all fixed connections.

6. The intelligent condensation membrane process oil and gas recovery metering skid according to claim 1, characterized in that: The connecting block (216) is a T-shaped structure design. The connecting block (216) extends through and to the outside of the adjusting rod (213). The sealing airbag (203) is provided in multiple sets. The connection between the micro air pump (209), solenoid valve (210), electric slide rail (214), electromagnet (217) and the control console (4) is all electrical connection.

7. The intelligent condensation membrane process oil and gas recovery metering skid according to claim 3, characterized in that: The specific analysis steps of the data processing unit (601) are as follows: The data processing unit (601) collects the operating data and fault cases of the metering skid body (1), extracts feature variables from the historical data of the fault cases, and the feature variables include the average value of motor current, the root mean square value of motor noise, the average value of lubricating oil temperature, the average value of power oil side pressure, the root mean square value of bearing vibration acceleration, the peak value of bearing vibration acceleration, the peak value of bearing vibration acceleration spectrum, the peak value of bearing vibration acceleration envelope spectrum, the root mean square value of inlet check valve vibration acceleration, the peak value of inlet check valve vibration acceleration, the root mean square value of outlet check valve vibration acceleration, and the peak value of outlet check valve vibration acceleration. The extracted feature variables are combined with the corresponding operating data of the metering skid body (1) to form a feature vector, and the source cases are stored in the fault case library.

8. The intelligent condensation membrane process oil and gas recovery metering skid according to claim 3, characterized in that: The specific analysis steps of the operation judgment unit (602) are as follows: The operation judgment unit (602) obtains the current operation data of the metering skid body (1), and performs normalization processing on the data. It uses a similarity measurement method based on Euclidean distance to process the normalized data, calculates the similarity Ck between the current operation data of the metering skid body (1) and the source case, and then obtains the current operation state S of the current metering skid body (1) according to the KNN algorithm. Then, it uses the feature values ​​of all source cases as input and the current operation state Sm of the corresponding source case as output, constructs and trains a PNN neural network, and inputs the current operation state S of the metering skid body (1) to obtain the diagnostic result of the current operation state of the metering skid body (1).

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