Intelligent control system for automatic adjustment of natural gas discharge and mining yield

Abstract

The invention discloses an intelligent control system for automatic adjustment of natural gas discharge and extraction yield, which belongs to the technical field of natural gas discharge and extraction and comprises a demand module, an acquisition module, a transmission module, a PLC control system and an execution module. The demand module is used for a worker to set target product demands; the acquisition module is used for performing real-time data acquisition on a working site to obtain working acquisition data and sending the working acquisition data to the transmission module; the transmission module is used for transmitting the operation acquisition data to the PLC control system; the PLC control system is used for analyzing the operation acquisition data to obtain a dynamic analysis yield, and the dynamic analysis yield is the analyzed current natural gas yield; the target product demand is recognized, the dynamic analysis yield is compared with the target product demand, the demand adjustment yield is obtained, a control instruction is generated according to the demand adjustment yield, and the control instruction is sent to the execution module; the execution module is used for controlling the rotation angle of the needle valve according to the received control instruction.

Description

Technical Field

[0001] The present invention belongs to the technical field of natural gas drainage, and specifically relates to an intelligent control system for automatically adjusting the production of natural gas drainage. Background Art

[0002] During the process of natural gas extraction, the adjustment of production is a crucial link. However, at present, most natural gas extraction sites still adopt the method of manual production adjustment. In this traditional operation mode, operators need to enter high-pressure dangerous areas for operation, which undoubtedly increases the operation risk. At the same time, due to the insufficient accuracy of manual production adjustment, operators need to continuously manually rotate the needle valve to adjust the angle, which is not only inefficient but also difficult to ensure the accuracy of adjustment. In addition, during the operation process, the data acquisition room needs to conduct real-time data verification with the operators to ensure the accuracy of the data. However, this data verification process often causes delays in the operation, further affecting the efficiency of natural gas extraction.

[0003] Based on this, in order to solve the above problems, the present invention provides an intelligent control system for automatically adjusting the production of natural gas drainage. Summary of the Invention

[0004] In order to solve the problems existing in the above solutions, the present invention provides an intelligent control system for automatically adjusting the production of natural gas drainage.

[0005] The object of the present invention can be achieved through the following technical solutions:

[0006] An intelligent control system for automatically adjusting the production of natural gas drainage includes a demand module, a collection module, a transmission module, a PLC control system, and an execution module;

[0007] The demand module is used for staff to set the target product demand;

[0008] The collection module is used for real-time data collection of the operation site to obtain operation collection data, and sending the operation collection data to the transmission module.

[0009] Further, the collection method of the operation collection data includes:

[0010] Obtaining historical drainage records, and setting corresponding collection items and collection methods according to the historical drainage records;

[0011] Performing real-time data collection on the collection items according to the collection method to obtain collection item data corresponding to the collection items, and integrating the collection item data into operation collection data.

[0012] The transmission module is used for transmitting the operation collection data to the PLC control system;

[0013] The PLC control system is used to receive job acquisition data, analyze the job acquisition data to obtain a dynamic analysis output, where the dynamic analysis output is the current natural gas output obtained from the analysis; identify the target product demand, compare the dynamic analysis output with the target product demand to obtain a demand-adjusted output, generate a control instruction based on the demand-adjusted output, and send the control instruction to the execution module.

[0014] The execution module is used to control the rotation angle of the needle valve according to the received control instruction.

[0015] Furthermore, the performance value of the control instruction is determined in real time, and processed according to a preset warning processing method.

[0016] Furthermore, the method for determining the performance value includes:

[0017] Real-time data acquisition is performed according to preset performance items to obtain performance item data corresponding to the performance items, the performance analysis period corresponding to the control instruction is identified, and the performance item data is segmented according to the performance analysis period to form single-item analysis data corresponding to the control instruction;

[0018] Perform performance analysis on the single-item analysis data to obtain a performance analysis result of the single-item analysis data;

[0019] When the performance analysis result is normal performance analysis, set the influence value of the performance item to 0;

[0020] When the performance analysis result is abnormal performance analysis, perform influence analysis on the single-item analysis data to obtain the influence value of the performance item;

[0021] Mark the influence value as YR i , where i represents the corresponding performance item, i = 1, 2,..., n, and n is the number of performance items;

[0022] Calculate the corresponding performance value according to the performance function, and the performance formula is:

[0023]

[0024] In the formula: XA is the performance value.

[0025] Furthermore, the method for performing performance analysis on single-item analysis data includes:

[0026] Establish a performance judgment model, and the expression of the performance judgment model is:

[0027]

[0028] Where: (DA, DB) are the input data, DA is the single-item analysis data, and DB is the corresponding performance item requirement; DA → DB indicates that the single-item analysis data meets the performance item requirement; the output data is the performance judgment value XP(DA, DB), and the performance judgment value is 1 or 0.

[0029] Analyze the single-item analysis data of the performance item through the performance judgment model to obtain the performance judgment value of the single-item analysis data.

[0030] When the performance judgment value is 0, the performance analysis result is that the performance analysis is normal.

[0031] When the performance judgment value is 1, the performance analysis result is that the performance analysis is abnormal.

[0032] Further, it also includes a device optimization module, which is used to perform real-time analysis on the optimization analysis device, determine the alternative device of the optimization analysis device, and display the device information of the alternative device to the staff.

[0033] Further, the determination method of the optimization analysis module includes:

[0034] Obtain the warning handling record in real time, where the warning handling record is the handling record of warning handling based on the performance value; identify the warning handling record to obtain the warning execution record.

[0035] Identify the performance item with abnormal performance analysis according to the warning execution record, determine the performance abnormal device and the corresponding device abnormal reason according to the performance item; mark the performance abnormal device as the optimization analysis device.

[0036] Further, the determination method of the alternative device includes:

[0037] Summarize the device abnormal reasons of the optimization analysis device and set the abnormal values corresponding to the device abnormal reasons.

[0038] Form an optimization requirement feature according to the device abnormal reason and the abnormal value, and perform real-time retrieval according to the optimization requirement feature to determine the corresponding candidate devices.

[0039] Perform a check analysis on the candidate devices according to the optimization requirement feature to judge whether the candidate devices meet the optimization requirement feature.

[0040] When it is judged that the candidate device does not meet the optimization requirement feature, eliminate the candidate device.

[0041] When it is judged that the candidate device meets the optimization requirement feature, determine the performance improvement value, judge whether the candidate device meets the replacement requirement according to the performance improvement value, and mark the candidate device that meets the replacement requirement as the replacement device.

[0042] Furthermore, the method for determining whether a candidate device meets the replacement requirement according to the performance improvement value includes:

[0043] Estimate the replacement cost of replacing with the candidate device;

[0044] Set a replacement formula, and calculate the replacement value of the candidate device through the replacement formula. The replacement formula is:

[0045]

[0046] In the formula: TR is the replacement value; XT is the performance improvement value; CB is the replacement cost;

[0047] Determine whether the candidate device meets the replacement requirement according to the replacement value.

[0048] Compared with the prior art, the beneficial effects of the present invention are:

[0049] Adopt a high-precision needle valve controller to control the rotation angle of the needle valve, and realize real-time collection and transmission of various data at the operation site through the demand module, transmission module, PLC control system, and execution module, improve the automation level of the system, get rid of the influence of human factors, and complete the task of natural gas production adjustment in the shortest time. Effectively solve the problems of inaccurate traditional manual production adjustment, long time consumption, and large workload. At the same time, the system is highly integrated, with a high degree of intelligence and easy to operate. The operator only needs to set the production value range, and the system will automatically run, and the needle valve will automatically rotate the corresponding angle through the controller to reach the preset production. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0051] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0053] Such as Figure 1As shown, an intelligent control system for automatic adjustment of natural gas production during drainage includes a demand module, a transmission module, a PLC control system, an execution module, and an equipment optimization module;

[0054] The demand module is used for staff to set corresponding target product demands according to production demands, such as production value ranges.

[0055] The acquisition module is used to collect real-time data at the operation site to obtain operation acquisition data, such as relevant information on natural gas flow, pressure, temperature, etc., and send the collected operation acquisition data to the transmission module through an internal communication protocol.

[0056] The acquisition module mainly consists of high-precision sensors and is used to collect various data at the operation site in real time; determine the data that needs to be collected based on various data that need to be collected and verified in the historical drainage records, etc., and then configure corresponding sensors for data collection, forming corresponding collection items and corresponding collection methods, such as real-time collection, interval collection, corresponding data preprocessing and other related methods, which are determined in combination with the historical drainage records.

[0057] The transmission module is used to transmit the operation acquisition data sent by the acquisition module to the PLC control system; in order to ensure the real-time and accuracy of the data, the transmission module can adopt high-speed and stable wireless communication technologies, such as Wi-Fi, 4G / 5G, etc. At the same time, the transmission module also has functions such as data encryption and verification to prevent data from being tampered with and lost during transmission.

[0058] The PLC control system is used to receive the operation acquisition data, analyze the operation acquisition data to obtain the current natural gas production, marked as the dynamic analysis production, compare the dynamic analysis production with the target product demand to obtain the demand adjustment production, generate corresponding control instructions according to the demand adjustment production, and send the control instructions to the execution module.

[0059] In one embodiment, when analyzing the operation acquisition data, it can be analyzed based on existing methods to determine the dynamic analysis quantity. For example, an analysis model is established based on a deep neural network, etc., and a corresponding training set is established and trained manually. The training set includes input data and output data. The input data is the operation acquisition data, and the output data is the dynamic analysis production; analyze through the analysis model after successful training to obtain the corresponding dynamic analysis quantity.

[0060] In one embodiment, when generating control instructions according to the demand adjustment production, it can be determined how to control according to the historical production adjustment records to achieve the demand adjustment production.

[0061] The execution module mainly consists of a high-precision needle valve controller, which is responsible for receiving control instructions sent by the PLC control system and controlling the rotation angle of the needle valve according to the received control instructions.

[0062] If the intake needle valve is modified, the adjustment angle of the intake port needle valve is controlled by a high-precision needle valve controller.

[0063] In one embodiment, due to the complex and harsh working environment, it is easy to cause analysis distortion, which in turn makes the control unreasonable. Therefore, to solve this problem, the performance value of the corresponding control instruction is determined in real time, and corresponding early warning processing is carried out according to the obtained performance value. That is, when the early warning requirement is met, a warning is given to the staff, and the control is carried out according to the staff's needs. When the early warning requirement is not met, the original control method is used for processing.

[0064] The method for determining the performance value includes:

[0065] Determine each performance item that has an impact on production control analysis, such as communication interference, network transmission, status of acquisition equipment, status of transmission equipment, etc.; collect real-time data according to the performance item to obtain performance item data, and divide the obtained performance item data according to the required production adjustment to form performance item data corresponding to the control instruction, that is, divide the corresponding time period involved in the control instruction, mark the corresponding performance item data as single-item analysis data, and mark the corresponding time period as the performance analysis period;

[0066] Perform a quick performance analysis on the single-item analysis data to determine whether it meets the performance item requirements of the performance item. The performance item requirements are determined according to user needs and historical single-item analysis data, and the performance analysis result of the corresponding single-item analysis data is obtained;

[0067] When the performance analysis result is normal performance analysis, set the influence value of the corresponding performance item to 0;

[0068] When the performance analysis result is abnormal performance analysis, perform an impact analysis on the corresponding single-item analysis data to obtain the influence value of the corresponding performance item; pre-statistical historical single-item analysis data with abnormal performance analysis for each performance item, sort them according to the degree of influence, and set corresponding influence values for the corresponding historical single-item analysis data according to the preset influence value range of the performance item. Subsequently, the influence value can be determined by matching, or a smart model can be established as a training set to determine the influence value through the smart model. There are specifically multiple ways to determine the influence value;

[0069] Mark the obtained influence value as YR i , where i represents the corresponding performance item, i = 1, 2,..., n, and n is the number of performance items;

[0070] Calculate the corresponding performance value according to the performance function. The performance formula is:

[0071]

[0072] Where: XA is the performance value.

[0073] In one embodiment, the method for performing fast performance analysis on single-item analysis data includes:

[0074] Establish a performance judgment model, and the expression of the performance judgment model is:

[0075]

[0076] Where: (DA, DB) is the input data, DA is the single-item analysis data, and DB is the corresponding performance item requirement; DA→DB means that the single-item analysis data meets the performance item requirement. The historical single-item analysis data and the performance item requirement are compared to form a training set for training to achieve subsequent intelligent judgment; the output data is the performance judgment value XP(DA, DB), and the performance judgment value is 1 or 0;

[0077] Analyze the single-item analysis data of the corresponding performance item through the performance judgment model to obtain the performance judgment value of the corresponding single-item analysis data;

[0078] When the performance judgment value is 0, the performance analysis result is that the performance analysis is normal;

[0079] When the performance judgment value is 1, the performance analysis result is that the performance analysis is abnormal.

[0080] The device optimization module is used to perform real-time optimization analysis on various acquisition devices, transmission devices, control devices, etc. applied in this system, determine whether there is a better choice for replacement, and achieve precise control in a complex natural gas drainage environment; the detailed process is as follows:

[0081] Real-time determine the optimization analysis device, summarize the device abnormal reasons corresponding to the optimization analysis device, and count the proportion of performance analysis abnormalities under the corresponding device abnormal reasons, which is marked as an abnormal value;

[0082] Determine the optimization requirement characteristics based on the device abnormal reasons and the abnormal value, that is, being able to overcome the device abnormal reasons or being better than the abnormal value, and determine the optimization requirement characteristics based on this and the device usage; perform real-time retrieval according to the optimization requirement characteristics to obtain candidate devices expected to meet the optimization requirement characteristics. Because generally only judgment can be made according to performance descriptions, etc. during the retrieval process, such as strong anti-interference, but the specific actual situation needs to be analyzed subsequently, so it is regarded as a candidate device, that is, this step is used to quickly screen each device that may meet the optimization requirement characteristics;

[0083] Check and analyze the candidate equipment according to the optimization requirement characteristics to determine whether the candidate equipment meets the optimization requirement characteristics. This can be determined by the platform party through actual simulation, or by collecting the test data of the candidate equipment using existing technologies and making a judgment based on the test data. That is, it can be determined whether the candidate equipment meets the optimization requirement characteristics based on the existing method. If it meets, the corresponding performance improvement value can be estimated, that is, perform simulation analysis according to the corresponding situation and count the improvement of the performance value compared with the optimized analysis equipment.

[0084] When it is determined that the candidate equipment does not meet the optimization requirement characteristics, eliminate the corresponding candidate equipment.

[0085] When it is determined that the candidate equipment meets the optimization requirement characteristics, determine the performance improvement value, and judge whether the candidate equipment meets the replacement requirements according to the performance improvement value. The replacement requirements are set according to the user's needs, and mark the candidate equipment that meets the replacement requirements as the replacement equipment.

[0086] In one embodiment, the optimized analysis equipment is manually set according to the user's needs.

[0087] In one embodiment, the method for determining the optimized analysis equipment includes:

[0088] Obtain the warning processing record in real time. The warning processing record refers to the processing record of warning processing according to the performance value. Identify the warning processing record to determine the corresponding warning execution record, that is, the record of warning processing when the performance value does not meet the standard.

[0089] Identify the performance item with abnormal performance analysis according to the warning execution record, and determine the performance abnormal equipment and the corresponding equipment abnormal cause according to this performance item, that is, determine what equipment causes the performance analysis of this performance item to be abnormal and what causes the equipment to be abnormal according to the actual occurrence result, such as reasons like magnetic field interference.

[0090] Mark the performance abnormal equipment as the optimized analysis equipment.

[0091] In one embodiment, the method for judging whether the candidate equipment meets the replacement requirements according to the performance improvement value includes:

[0092] Estimate the replacement cost of replacing with the candidate equipment.

[0093] Set a replacement formula, and calculate the replacement value of the corresponding candidate equipment through the replacement formula. The replacement formula is:

[0094]

[0095] In the formula: TR is the replacement value; XT is the performance improvement value; CB is the replacement cost.

[0096] When the replacement value is greater than the preset value, it is determined that the device to be selected meets the replacement requirements; otherwise, it does not meet the replacement requirements.

[0097] In one embodiment, the replacement formula is:

[0098]

[0099] Where: TR is the replacement value; XT is the performance improvement value; CB is the replacement cost.

[0100] The above formulas are all calculated by removing the dimension and taking their numerical values. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by a large amount of data simulation.

[0101] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent control system for automatically adjusting the production of natural gas drainage, characterized in that, It includes a demand module, a collection module, a transmission module, a PLC control system, and an execution module; The demand module is used for staff to set the target product requirements; The collection module is used to perform real-time data collection on the operation site to obtain operation collection data, and send the operation collection data to the transmission module; The transmission module is used to transmit the operation collection data to the PLC control system; The PLC control system is used to receive the operation collection data, analyze the operation collection data to obtain the dynamic analysis output, where the dynamic analysis output is the current natural gas output analyzed; identify the target product requirements, compare the dynamic analysis output with the target product requirements to obtain the demand adjustment output, generate a control instruction according to the demand adjustment output, and send the control instruction to the execution module; The execution module is used to control the rotation angle of the needle valve according to the received control instruction.

2. The automatic regulation intelligent control system for natural gas drainage production according to claim 1, wherein The method for collecting operation collection data includes: Obtain the historical drainage record, and set the corresponding collection items and collection methods according to the historical drainage record; Perform real-time data collection on the collection items according to the collection method to obtain the collection item data corresponding to the collection items, and integrate the collection item data into operation collection data.

3. The automatic regulation intelligent control system for natural gas drainage production according to claim 1, characterized in that, Determine the performance value of the control instruction in real time, and process it according to the preset warning processing method.

4. The intelligent control system for automatically regulating the production of natural gas drainage according to claim 3, characterized in that, The method for determining the performance value includes: Perform real-time data collection according to the preset performance items to obtain the performance item data corresponding to the performance items, identify the performance analysis period corresponding to the control instruction, and segment the performance item data according to the performance analysis period to form the single-item analysis data corresponding to the control instruction; Perform performance analysis on the single-item analysis data to obtain the performance analysis result of the single-item analysis data; When the performance analysis result is normal performance analysis, set the influence value of the performance item to 0; When the performance analysis result is abnormal performance analysis, perform influence analysis on the single-item analysis data to obtain the influence value of the performance item; Mark the influence value as YR i , where i represents the corresponding performance item, i = 1, 2,..., n, and n is the number of performance items; Calculate the corresponding performance value according to the performance function, and the performance formula is: In the formula: XA is the performance value.

5. An intelligent control system for automatically adjusting the production of natural gas drainage according to claim 4, characterized in that The method for performing performance analysis on single-item analysis data includes: Establish a performance judgment model, and the expression of the performance judgment model is: In the formula: (DA, DB) are the input data, DA is the single-item analysis data, and DB is the corresponding performance item requirement; DA→DB means that the single-item analysis data meets the performance item requirement; the output data is the performance judgment value XP(DA, DB), and the performance judgment value is 1 or 0; Analyze the single-item analysis data of the performance item through the performance judgment model to obtain the performance judgment value of the single-item analysis data; When the performance judgment value is 0, the performance analysis result is normal performance analysis; When the performance judgment value is 1, the performance analysis result is abnormal performance analysis.

6. An intelligent control system for automatically adjusting the production of natural gas drainage according to claim 1, characterized in that, It also includes an equipment optimization module, which is used to perform real-time analysis on the optimization analysis equipment, determine the replacement equipment of the optimization analysis equipment, and display the equipment information of the replacement equipment to the staff.

7. An intelligent control system for automatically adjusting the production of natural gas drainage according to claim 6, characterized in that, The method for determining the optimization analysis module includes: Obtain the early warning processing record in real time, where the early warning processing record is the processing record of early warning processing based on performance values; identify the early warning processing record to obtain the early warning execution record; Identify the performance items with abnormal performance analysis according to the early warning execution record, determine the performance abnormal devices and the corresponding device abnormal causes according to the performance items; mark the performance abnormal devices as optimization analysis devices.

8. An intelligent control system for automatically adjusting the production of natural gas drainage, according to claim 7, characterized in that The method for determining the replacement device includes: Summarize the device abnormal causes of the optimization analysis devices and set the abnormal values corresponding to the device abnormal causes; Form optimization requirement features according to the device abnormal causes and abnormal values, and retrieve in real time according to the optimization requirement features to determine the corresponding candidate devices; Conduct a verification analysis on the candidate devices according to the optimization requirement features to determine whether the candidate devices meet the optimization requirement features; When it is determined that the candidate device does not meet the optimization requirement features, eliminate the candidate device; When it is determined that the candidate device meets the optimization requirement features, determine the performance improvement value, and determine whether the candidate device meets the replacement requirements according to the performance improvement value, and mark the candidate device that meets the replacement requirements as the replacement device.

9. An intelligent control system for automatically adjusting the production of natural gas drainage according to claim 8, characterized in that, The method for determining whether a candidate device meets the replacement requirements according to the performance improvement value includes: Estimate the replacement cost of replacing with the candidate device; Set a replacement formula, and calculate the replacement value of the candidate device through the replacement formula. The replacement formula is: In the formula: TR is the replacement value; XT is the performance improvement value; CB is the replacement cost; Determine whether the candidate device meets the replacement requirements according to the replacement value.

Images