A digital and intelligent powder type free-matching and viscosity-changing fracturing fluid skid-mounted device and a control method thereof

Abstract

The application discloses a kind of digital intelligence powder type free matching variable viscosity fracturing fluid skid-mounted equipment and control method thereof, belong to oil and gas field development technical field.The equipment includes stirring mechanism, feeding mechanism, water feeding mechanism and discharging mechanism, and is centrally controlled by control box.Feeding mechanism uses first screw conveyor to deliver solid material to stirring tank body;Water feeding mechanism supplies water to tank by water feeding pump and water outlet pipe with electromagnetic valve, and water quantity is monitored by water inlet flow sensor;Discharging mechanism outputs mixed liquid by discharging pump, and viscosity sensor detects fracturing fluid viscosity in real time.Control box connects each sensor and executing component, realizes automatic adjustment and closed-loop control of material proportioning by collecting flow and viscosity data.The application realizes accurate and automatic preparation of fracturing fluid, effectively solves the problem of inaccurate and poor stability of traditional manual proportioning, and significantly improves the quality of liquid preparation and operation efficiency.

Description

Technical Field

[0001] This invention relates to the field of oil and gas field development technology, specifically to a digitalized, intelligent powder-based, non-mixing variable viscosity fracturing fluid skid-mounted equipment and its control method. Background Technology

[0002] In oil extraction operations, the preparation of fracturing fluid is a crucial step, as its quality directly affects the efficiency and effectiveness of subsequent oil and gas extraction. For a long time, traditional fracturing fluid preparation relied primarily on manual operation to control the material ratios. In actual preparation, operators used experience and simple measuring tools, such as ordinary gauges, to add various powdered materials and corresponding liquid components.

[0003] However, manual operation itself has many limitations. Human subjective judgment is prone to errors, and different operators cannot have completely consistent standards for grasping the material ratio, which leads to the problem of inaccurate manual control of the material ratio in fracturing fluid preparation.

[0004] In view of this, the present invention is hereby proposed. Summary of the Invention

[0005] To address the aforementioned issues, this invention proposes a digitally intelligent, powder-based, non-mixing, variable-viscosity fracturing fluid skid-mounted equipment and its control method, which solves the problem of inaccurate material ratio control during traditional fracturing fluid preparation.

[0006] Specifically, the following technical solution was adopted:

[0007] A digitalized, intelligent, powder-based, non-mixing, variable viscosity fracturing fluid skid-mounted equipment includes:

[0008] A mixing mechanism, including a mixing tank with an internal mixing chamber;

[0009] The feeding mechanism includes a first screw conveyor, which has a first inlet end for receiving solid materials and a first outlet end communicating with the mixing tank.

[0010] The water delivery mechanism includes a water pump, the water inlet of which is connected to a water inlet pipe, a water inlet flow sensor for detecting the water inlet flow is installed on the water inlet pipe, the water outlet of which is connected to the mixing tank through a water outlet pipe, and an adjustable solenoid valve is installed on the water outlet pipe for controlling the water inlet flow.

[0011] The discharge mechanism includes a discharge pump, the inlet end of which is connected to the discharge end of the mixing tank, the outlet end of which is connected to a discharge pipe, and a viscosity sensor for detecting the viscosity of the output mixture is provided on the discharge pipe.

[0012] The sensor network unit is used to collect operating status data of the stirring mechanism, feeding mechanism, water supply mechanism and discharging mechanism during operation;

[0013] The control box is electrically connected to the electrical components of the stirring mechanism, feeding mechanism, water supply mechanism, and discharge mechanism, and is also electrically connected to the inlet flow sensor, solenoid valve, and viscosity sensor.

[0014] The control box is configured to: acquire in real time the operating status data detected by the sensor network unit, and the fracturing fluid characteristic data detected by the viscosity sensor and the influent flow sensor;

[0015] The acquired operating status data and fracturing fluid characteristic data are preprocessed, fused, and feature extracted. Based on preset rules or analysis models, fault diagnosis, operating trend prediction, and fluid mixing parameter optimization analysis are performed to generate judgment results.

[0016] As an optional embodiment of the present invention, a smart powder-type non-mixing variable viscosity fracturing fluid skid-mounted device of the present invention includes a feeding and screening mechanism, wherein the feeding and screening mechanism includes a screening machine, the output end of which is connected to the first inlet end of the first screw conveyor, for conveying the solid material screened by the screening machine to the first screw conveyor.

[0017] As an optional embodiment of the present invention, a skid-mounted device for intelligent powder-type non-mixing variable viscosity fracturing fluid includes a second spiral conveyor. The second spiral conveyor is vertically arranged, with its bottom as the feed end and its top as the discharge end. The feed end of the second spiral conveyor is connected to the discharge end of the screening machine, and the discharge end of the second spiral conveyor is connected to the first feed end of the first spiral conveyor.

[0018] This invention also provides a control method for the aforementioned intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment, comprising:

[0019] Data acquisition steps: Real-time acquisition of operating status data detected by the sensor network unit, and fracturing fluid characteristic data detected by the viscosity sensor and the influent flow sensor;

[0020] Data processing and judgment steps: The collected operating status data and fracturing fluid characteristic data are preprocessed, data fusion and feature extraction are performed, and fault diagnosis, operating trend prediction and fluid mixing parameter optimization analysis are performed based on preset rules or analysis models to generate judgment results;

[0021] Execution steps: Based on the judgment result, control commands are generated and the actuator unit is driven to perform actions to automatically regulate the material conveying, liquid conveying and stirring processes.

[0022] As an optional embodiment of the present invention, in the control method of a skid-mounted equipment for intelligent powder-type non-mixing variable viscosity fracturing fluid, the data acquisition step includes:

[0023] The inlet flow rate data is collected by the inlet flow sensor;

[0024] The viscosity data of the fracturing fluid is collected using the viscosity sensor.

[0025] The sensor network unit collects at least one of the temperature, pressure, and vibration data of the skid-mounted equipment for the intelligent powder-type non-mixing variable viscosity fracturing fluid.

[0026] As an optional embodiment of the present invention, in the control method of a skid-mounted equipment for intelligent powder-type non-mixing variable viscosity fracturing fluid, the data processing and judgment steps include:

[0027] The collected raw data undergoes analog-to-digital conversion, filtering, and amplification preprocessing.

[0028] Data fusion is performed on the preprocessed multi-source data to remove noise and extract key features;

[0029] Based on the extracted features, intelligent analysis models are used for fault diagnosis, determination of deviation of solution preparation parameters, or prediction of operating trends.

[0030] As an optional embodiment of the present invention, in the control method of a skid-mounted equipment for intelligent powder-type non-mixing variable viscosity fracturing fluid, the optimization analysis of the mixing parameters in the data processing and judgment step includes:

[0031] Compare the real-time collected fracturing fluid viscosity data with the target viscosity range;

[0032] When the real-time viscosity deviates from the target viscosity range, it is determined that the liquid preparation parameters are abnormal, and optimized parameters are generated to adjust the powder delivery speed or water intake.

[0033] As an optional embodiment of the present invention, in the control method of a skid-mounted equipment for intelligent powder-type non-mixing variable viscosity fracturing fluid, the operation trend prediction in the data processing and judgment step includes:

[0034] Acquire historical operating data and real-time collected operating status data of the equipment to construct a time series dataset;

[0035] Based on the aforementioned time series dataset, a trend prediction algorithm is used. f The prediction process analyzes and generates operational trend prediction results. T The prediction of the operational trend includes at least the performance degradation trend of key components or the viscosity change trend of fracturing fluid.

[0036] As an optional embodiment of the present invention, in a control method for a skid-mounted equipment for intelligent powder-based variable viscosity fracturing fluid that does not require mixing, the execution steps include:

[0037] Based on the optimized parameters generated by the liquid preparation parameter optimization analysis, control commands are generated to control and adjust the solid material conveying amount of the feeding mechanism and / or control and adjust the water inlet amount of the water delivery mechanism.

[0038] Based on the fault diagnosis results, generate instructions to shut down or reduce the frequency of the equipment.

[0039] As an optional embodiment of the present invention, a control method for a skid-mounted equipment for intelligent powder-based variable viscosity fracturing fluid that does not require mixing further includes:

[0040] Remote monitoring and intervention steps: Transmit the operating status data, fracturing fluid characteristic data and judgment results to the remote monitoring terminal, and receive manual intervention instructions from the remote monitoring terminal to override or correct the automatically generated control instructions.

[0041] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0042] 1. It achieves precise closed-loop control of fracturing fluid preparation, significantly improving the quality and consistency of fluid preparation.

[0043] By linking the inlet flow sensor with the solenoid valve, precise metering and real-time adjustment of the inlet water volume are achieved; a viscosity sensor monitors the finished fracturing fluid in real time. Based on viscosity feedback, the control box can adjust the feeding mechanism's delivery rate or the water supply mechanism's inlet water volume in reverse, forming a closed-loop control circuit with the "target viscosity" as the set value. This fundamentally solves the problems of traditional manual mixing relying on experience and inaccurate proportions, ensuring high stability and reliability of the viscosity and performance of each batch of fracturing fluid.

[0044] 2. It has achieved fully automated collaborative operation, greatly improving operational efficiency and stability.

[0045] The equipment integrates the entire process from solid material conveying, liquid conveying, mixing and blending to finished product output. The control box, as the central processing unit, directs the feeding mechanism, water delivery mechanism, mixing mechanism, and discharge mechanism to work collaboratively according to a preset program, achieving "one-click" automated production. This not only greatly reduces manual intervention and labor intensity, avoiding human error, but also ensures the continuity and high efficiency of equipment operation, making it particularly suitable for use in continuous oilfield fracturing operations.

[0046] 3. A data-driven intelligent decision-making and early warning capability has been established to ensure reliable equipment operation.

[0047] The control box collects key process parameters such as influent flow rate and output viscosity in real time, as well as operating status data of each pump and motor (such as current and voltage), enabling real-time monitoring and intelligent analysis of the liquid preparation process. The system can promptly detect parameter anomalies and provide early warnings of potential equipment failures (such as decreased pump efficiency or blockage in delivery pipelines), achieving predictive maintenance of equipment status, minimizing unplanned downtime, and improving the overall reliability and safety of equipment operation.

[0048] In summary, the intelligent powder-based, non-mixing variable viscosity fracturing fluid skid-mounted equipment of this embodiment, through the deep integration of hardware integration and software intelligence, successfully upgrades the traditional, decentralized, and manual fracturing fluid preparation process into an intensive, automated, and intelligent high-efficiency production unit, achieving comprehensive improvements in quality, efficiency, reliability, and convenience. Attached Figure Description

[0049] Figure 1 This invention provides a front perspective view of a skid-mounted device for intelligent powder-type non-mixing variable viscosity fracturing fluid.

[0050] Figure 2 This invention provides a rear three-dimensional schematic diagram of a skid-mounted device for intelligent powder-type non-mixing variable viscosity fracturing fluid.

[0051] Figure 3 This invention presents a partial structural diagram of the screening machine section of a skid-mounted equipment for intelligent powder-type non-mixing variable viscosity fracturing fluid.

[0052] Figure 4 This invention presents a partial structural diagram of the first screw conveyor of a skid-mounted equipment for intelligent powder-type non-mixing variable viscosity fracturing fluid.

[0053] Figure 5 This invention proposes a control box module architecture diagram for a skid-mounted equipment for a digitally intelligent powder-based, non-mixing, variable viscosity fracturing fluid.

[0054] Figure 6 This invention proposes a data acquisition and sensing module architecture diagram for a skid-mounted device for intelligent powder-based, non-mixing, variable viscosity fracturing fluid;

[0055] Figure 7 This invention proposes a data processing and analysis module architecture diagram for a digital intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment;

[0056] Figure 8 This invention proposes an intelligent control and execution module architecture diagram for a skid-mounted equipment for a powder-based, non-mixing, variable-viscosity fracturing fluid.

[0057] Figure 9This invention proposes a data storage and management module architecture diagram for a digital intelligent powder-based, non-mixing, variable viscosity fracturing fluid skid-mounted equipment;

[0058] Figure 10 This is a flowchart illustrating the usage method of a skid-mounted device for intelligent powder-based, non-mixing variable viscosity fracturing fluid proposed in this invention. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0060] Therefore, the following detailed description of embodiments of the present invention is not intended to limit the scope of the claimed invention, but merely illustrates some embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0061] It should be noted that, unless otherwise specified, the embodiments and features and technical solutions in the present invention can be combined with each other.

[0062] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0063] In the description of this invention, it should be noted that the terms "upper," "lower," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this invention is in use, or the orientation or positional relationship commonly understood by those skilled in the art. These terms are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention. In addition, the terms "first," "second," etc., are only used to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0064] like Figures 1-4 As shown in this embodiment, a skid-mounted device for intelligent powder-type non-mixing variable viscosity fracturing fluid includes:

[0065] The stirring mechanism includes a stirring tank 13 with an internal stirring chamber;

[0066] The feeding mechanism includes a first screw conveyor 24, which has a first inlet end 11 and a first outlet end 30. The first inlet end 11 is used to receive solid materials, and the first outlet end 30 is connected to the mixing tank 13.

[0067] The water delivery mechanism includes a water pump 28, the water inlet end of which is connected to a water inlet pipe 4, and a water inlet flow sensor 5 for detecting the water inlet flow is installed on the water inlet pipe 4. The water outlet end of the water pump 28 is connected to the mixing tank 13 through a water outlet pipe 22, and an adjustable solenoid valve 27 is installed on the water outlet pipe 22 to control the water inlet flow.

[0068] The discharge mechanism includes a discharge pump 15, the inlet end of which is connected to the discharge end of the mixing tank 13 via a connecting pipe 29, and the outlet end of the discharge pump 15 is connected to a discharge pipe 16. A viscosity sensor 23 for detecting the viscosity of the output mixture is provided on the discharge pipe 16.

[0069] The sensor network unit is used to collect operating status data of the stirring mechanism, feeding mechanism, water supply mechanism and discharging mechanism during operation;

[0070] The control box 12 is electrically connected to the electrical components of the stirring mechanism, feeding mechanism, water supply mechanism, and discharge mechanism, and is also electrically connected to the inlet water flow sensor 5, solenoid valve 27, and viscosity sensor 23.

[0071] The control box 12 is configured to: acquire in real time the operating status data detected by the sensor network unit, and the fracturing fluid characteristic data detected by the viscosity sensor 23 and the water inlet flow sensor 5;

[0072] The acquired operational status data and fracturing fluid characteristic data are preprocessed, fused, and feature-extracted. Based on preset rules or analysis models, fault diagnosis, operational trend prediction, and fluid mixing parameter optimization analysis are performed to generate judgment results. This embodiment of a digital intelligent powder-type, no-mixing, variable viscosity fracturing fluid skid-mounted equipment has the following technical effects:

[0073] 1. It achieves precise closed-loop control of fracturing fluid preparation, significantly improving the quality and consistency of fluid preparation.

[0074] By linking the inlet flow sensor with the solenoid valve, precise metering and real-time adjustment of the inlet water volume are achieved; a viscosity sensor monitors the finished fracturing fluid in real time. Based on viscosity feedback, the control box can adjust the feeding mechanism's delivery rate or the water supply mechanism's inlet water volume in reverse, forming a closed-loop control circuit with the "target viscosity" as the set value. This fundamentally solves the problems of traditional manual mixing relying on experience and inaccurate proportions, ensuring high stability and reliability of the viscosity and performance of each batch of fracturing fluid.

[0075] 2. It has achieved fully automated collaborative operation, greatly improving operational efficiency and stability.

[0076] The equipment integrates the entire process from solid material conveying, liquid conveying, mixing and blending to finished product output. The control box, as the central processing unit, directs the feeding mechanism, water delivery mechanism, mixing mechanism, and discharge mechanism to work collaboratively according to a preset program, achieving "one-click" automated production. This not only greatly reduces manual intervention and labor intensity, avoiding human error, but also ensures the continuity and high efficiency of equipment operation, making it particularly suitable for use in continuous oilfield fracturing operations.

[0077] 3. A data-driven intelligent decision-making and early warning capability has been established to ensure reliable equipment operation.

[0078] The control box collects key process parameters such as influent flow rate and output viscosity in real time, as well as operating status data of each pump and motor (such as current and voltage), enabling real-time monitoring and intelligent analysis of the liquid preparation process. The system can promptly detect parameter anomalies and provide early warnings of potential equipment failures (such as decreased pump efficiency or blockage in delivery pipelines), achieving predictive maintenance of equipment status, minimizing unplanned downtime, and improving the overall reliability and safety of equipment operation.

[0079] In summary, the intelligent powder-based, non-mixing variable viscosity fracturing fluid skid-mounted equipment of this embodiment, through the deep integration of hardware integration and software intelligence, successfully upgrades the traditional, decentralized, and manual fracturing fluid preparation process into an intensive, automated, and intelligent high-efficiency production unit, achieving comprehensive improvements in quality, efficiency, reliability, and convenience.

[0080] Specifically, this embodiment of the invention provides a smart powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment, including a base plate 1, a control box 12 disposed on the upper surface of the base plate 1, a plurality of columns 2 disposed on the upper surface of the base plate 1, a top plate 3 disposed at the top of the columns 2, a water pump 28 disposed on the upper surface of the base plate 1, a first fixing seat 26 disposed on the outer wall of the water outlet pipe 22, the bottom end of the first fixing seat 26 disposed on the upper surface of the base plate 1, a mixing tank 13 disposed at one end of the water outlet pipe 22, a fixing frame 14 disposed on the outer wall of the mixing tank 13, and the bottom end of the fixing frame 14 disposed on the upper surface of the base plate 1.

[0081] Specifically, the base plate 1 is a load-bearing plate, and several columns 2 set on the base plate 1 support the top plate 3 to form an overall frame structure. The water pump 28 is set on the base plate 1. The input end of the water pump 28 is connected to the inlet pipe 4, and the output end is connected to the outlet pipe 22. The inlet flow sensor 5 on the inlet pipe 4 is used to monitor the water flow in real time. The outlet pipe 22 controls the material conveying through the solenoid valve 27 and is installed on the base plate 1 through the first fixed seat 26. The outlet pipe 22 conveys the material to the mixing tank 13. The mixing tank 13 is fixed on the base plate 1 through the fixing frame 14. The feeding mechanism cooperates to convey the corresponding material to the mixing tank 13. The control box 12 is mounted on the base plate 1. Its internal modules work together. The data acquisition and sensing module senses the equipment's operating status and fracturing fluid characteristics through relevant sensors. After preprocessing, the data is transmitted to the data processing and analysis module. This module performs in-depth processing on the data, such as integration cleaning and feature extraction, and then transmits the results to the intelligent control and execution module. The intelligent control and execution module generates control commands based on the analysis results, driving the water pump 28, solenoid valve 27, and other related actuators to operate. This ensures that each component works in an orderly manner according to the predetermined process, guaranteeing the smooth operation of the entire skid-mounted equipment in the preparation and delivery of fracturing fluid.

[0082] The intelligent, non-mixing, variable viscosity fracturing fluid skid-mounted equipment enables control over the delivery of materials and water to ensure accurate fracturing fluid preparation. It achieves automated, coordinated operation of all components, improving operational efficiency and fluid preparation stability. Real-time monitoring of equipment operating status and fracturing fluid characteristics facilitates timely adjustments, enhancing overall operational quality. This solves the problem of inaccurate material ratio control in traditional fracturing fluid preparation.

[0083] Please see the appendix Figure 1 -Appendix Figure 4 The feeding mechanism includes a second fixed base 31. The bottom end of the second fixed base 31 is set on the upper surface of the base plate 1. The top end of the second fixed base 31 is set with the first screw conveyor 24. One end of the first screw conveyor 24 is set with a first motor 25. The first feed end 11 of the first screw conveyor 24 is set with a first feed hopper. The other end of the first screw conveyor 24 is the first discharge end 30.

[0084] Specifically, in the feeding mechanism, the second fixed seat 31 is fixedly installed on the upper surface of the base plate 1, which plays a stable supporting role. The first screw conveyor 24 set at the top of the second fixed seat 31 provides a channel for material conveying. The first motor 25 connected at one end serves as a power source. After starting, it drives the conveying components inside the first screw conveyor 24 to operate and generate conveying force. The first feed hopper is set at the first feed end 11 of the first screw conveyor 24 and is used to put the material to be conveyed. The material enters the interior of the first screw conveyor 24 through the first feed hopper. Driven by the first motor 25, it moves along the first screw conveyor 24 to the other end and is finally conveyed to the outer wall of the mixing tank 13, so that the material can enter the mixing tank 13 to participate in the mixing operation.

[0085] The feeding mechanism enables directional material conveying, ensuring continuous material supply. Furthermore, the conveying speed can be adjusted by controlling the motor, flexibly controlling the material conveying volume to precisely adapt to different operating conditions of the mixing tank 13 and control the material ratio. This solves the problem of difficulty in controlling the material conveying volume to adapt to the working state of the mixing tank 13.

[0086] Please see the appendix Figure 1 -Appendix Figure 4 Specifically, after the mixing tank 13 fully mixes the materials and related liquids, the resulting mixture enters the discharge pump 15 through the connecting pipe 29 at its bottom. The discharge pump 15, as a power component, transports the mixture received from the connecting pipe 29 outward through the discharge pipe 16 at the output end after starting. The third fixing seat 32 set on the outer wall of the discharge pipe 16 has its bottom end fixed to the upper surface of the base plate 1, which plays a role in stabilizing the discharge pipe 16 and ensuring the stability of the position of the discharge pipe 16 during the material transportation process. The viscosity sensor 23 set on the outer wall of the discharge pipe 16 can detect the viscosity of the material flowing through the discharge pipe 16 in real time, thereby monitoring the changes in the characteristics of the transported material and providing a basis for subsequent operations such as judging whether the material meets the requirements.

[0087] By enabling the conveying of materials after mixing, the production process continuity is ensured, and the viscosity characteristics of the materials are monitored in real time. This facilitates understanding the material quality and adjusting relevant parameters accordingly, guaranteeing stable output material quality. It solves the problems of unstable material conveying and the inability to monitor material viscosity characteristics in real time.

[0088] Optionally, a smart powder-type non-mixing variable viscosity fracturing fluid skid-mounted device according to this embodiment includes a feeding and screening mechanism. The feeding and screening mechanism includes a screening machine 9. The output end of the screening machine 9 is connected to the first feed end 11 of the first screw conveyor 24, and is used to transport the solid material screened by the screening machine 9 to the first screw conveyor 24.

[0089] Please see the appendix Figure 1 -Appendix Figure 3 A fixing plate 7 is provided on the upper surface of the base plate 1. Several springs 8 are provided on the upper surface of the fixing plate 7. The screening shell of the screening machine 9 is provided at the top of the springs 8. An eccentric wheel 21 is provided on the outer wall of the screening shell through a rotating shaft. A second feed hopper 10 is provided on the upper surface of the screening shell. An eccentric wheel 21 is provided on one side of the screening shell. A receiving hopper 20 is provided on one side of the eccentric wheel 21. A second screw conveyor 6 is provided on one side of the receiving hopper 20. A chassis 19 is provided at the bottom of the second screw conveyor 6. The bottom of the chassis 19 is located on the upper surface of the base plate 1. A second motor 17 is provided at the top of the second screw conveyor 6. A second discharge end 18 is provided on the outer wall of the second screw conveyor 6. The second discharge end 18 is located above the first feed hopper.

[0090] Specifically, the material first enters the screening shell located at the top of the spring 8 from the second feed hopper 10. The spring 8 is installed on the fixed plate 7 and acts as a buffer, giving the screening machine 9 a certain degree of elasticity during operation. The outer wall of the screening machine 9 is connected to the eccentric wheel 21 through a rotating shaft. When the eccentric wheel 21 rotates, it will cause the screening shell of the screening machine 9 to vibrate, screening the material entering the screening shell of the screening machine 9. The material that meets the requirements falls from one side of the screening shell of the screening machine 9 into the receiving hopper 20 after screening. The material falling into the receiving hopper 20 enters the second screw conveyor 6. The bottom end of the second screw conveyor 6 is mounted on the upper surface of the base plate 1 by the chassis 19. After the second motor 17 at the top of the second screw conveyor 6 is started, it drives the conveying components inside the second screw conveyor 6 to operate, conveying the material along the second screw conveyor 6. Finally, it is output through the second discharge end 18 set on the outer wall. The second discharge end 18 is located above the first feed hopper, so that the output material can smoothly enter the subsequent process for further processing.

[0091] Please see the appendix Figure 5 -Appendix Figure 9The control box 12 includes a data acquisition and sensing module, a data processing and analysis module, an intelligent control and execution module, a remote monitoring and interaction module, and a data storage and management module. The data acquisition and sensing module is used to acquire real-time data on the operating status of the skid-mounted equipment and the characteristics of the fracturing fluid, preprocess and transmit the data, and identify anomalies. The data processing and analysis module is used to perform in-depth processing of the acquired raw data, including data integration and cleaning, feature extraction, auxiliary fluid mixing parameter optimization and equipment fault diagnosis, evaluation of operating status, and trend prediction. The intelligent control and execution module is used to generate instructions from the analysis results, drive the mechanism to move, and realize automated control of the equipment. The system ensures equipment operation and fracturing fluid preparation. The remote monitoring and interaction module is used to collect and transmit equipment information to achieve remote monitoring and provides an interactive interface for manual intervention in equipment operation. The data storage and management module is used to establish a database to store historical and real-time data of the equipment, and uses encryption technology to ensure data security. It regularly performs full and incremental backups and stores the data in a remote location or cloud to ensure data integrity and availability. The control box 12 is used to receive electrical signals from the data acquisition and sensing module, data processing and analysis module, intelligent control and execution module, remote monitoring and interaction module, and data storage and management module, and monitors and provides feedback on the working status.

[0092] Specifically, the data acquisition and sensing module acquires real-time data on the operating status of the skid-mounted equipment and the characteristics of the fracturing fluid. After preprocessing and anomaly identification, the data is transmitted to provide basic data support for subsequent analysis, facilitating timely monitoring of the equipment and fracturing fluid status. The data processing and analysis module performs in-depth processing of the acquired raw data, including data integration, cleaning, and feature extraction, thereby assisting in the optimization of fluid preparation parameters and promoting precise fracturing fluid preparation. It also assists in equipment fault diagnosis, operational status assessment, and trend prediction to ensure stable and efficient equipment operation and proactively address potential problems. The intelligent control and execution module generates instructions based on the analysis results, driving relevant mechanisms to achieve automated equipment control. This ensures that all components of the equipment cooperate in an orderly manner as required, guaranteeing the normal operation of the skid-mounted equipment and the smooth progress of fracturing fluid preparation. Remote monitoring... The control and interaction module collects and transmits equipment information to enable remote monitoring, allowing operators to remotely know the equipment status. It also provides an interactive interface for timely manual intervention in equipment operation, enhancing the flexibility of equipment operation management. The data storage and management module establishes a database to store historical and real-time data of the equipment. It uses encryption technology to ensure data security, performs full and incremental backups regularly, and stores the data in a remote location or cloud to avoid data loss or damage, ensuring data integrity and availability. This provides reliable data support for the long-term stable operation of the equipment and subsequent analysis. The control box 12 receives electrical signals from each module, monitors the working status of each module and provides feedback, coordinates the cooperation between modules, and ensures the orderly and efficient operation of all aspects of the skid-mounted equipment, improving the automation and intelligence level of the equipment, as well as its operational reliability and stability.

[0093] Please see the appendix Figure 5 -Appendix Figure 6 The data acquisition and sensing module includes a sensor network unit and a data acquisition unit. The sensor network is used to sense various physical quantities in the skid-mounted equipment for intelligent powder-based non-mixing variable viscosity fracturing fluid and its operating environment in real time. The data acquisition unit is used to collect various signals from the sensor network unit, perform analog-to-digital conversion, filtering, amplification preprocessing, and add identification information to standardize the data format.

[0094] Specifically, the sensor network unit is responsible for sensing various physical quantities in the skid-mounted equipment and its operating environment in real time, such as the equipment's temperature, vibration, and pressure, and setting them as variables. These physical quantities reflect the real-time operating status of the equipment and the conditions of its environment; their output is the raw physical quantity data that is sensed. .

[0095] The data acquisition unit receives various signals sensed by the sensor network unit; that is, the input is the raw physical quantity data output by the sensor network unit. The data undergoes analog-to-digital conversion, filtering, and amplification preprocessing, while additional labeling information is added to standardize the data format. Analog-to-digital conversion converts the analog signal acquired by the sensor into a digital signal, facilitating subsequent processing by digital circuits and systems. Assuming the analog signal before conversion is... The converted digital signal is Its conversion formula can be simply expressed as: ,in The conversion coefficients enable the signal to be recognized and processed in a digital system; the filtering operation removes noise components from the signal. Let the signal before filtering be... The filtered signal is Its purpose is to let The signal more closely resembles the actual physical quantity, ensuring data quality; the amplification operation amplifies the signal amplitude, let the original signal amplitude be... When magnified, it is The signal is amplified by an amplifier to meet the amplitude requirements of subsequent processing. The relationship can be simply expressed as follows: ,in To increase the magnification factor; adding identification information is to clarify the data source, type, etc., facilitating subsequent data integration and management. After these processes, the data acquisition unit outputs preprocessed and formatted data. This data can be used more accurately and efficiently by subsequent data processing and analysis modules, thus laying the foundation for the entire skid-mounted equipment to achieve automated control, fault diagnosis and other functions based on accurate data.

[0096] Please see the appendix Figure 5 Appendix Figure 7 The data processing and analysis module includes a data fusion center unit and an intelligent analysis unit. The data fusion center unit is used to integrate multi-source data, remove noise, extract key features and realize data correlation, and perform in-depth processing of the raw data. The intelligent analysis unit is used to receive data from the data fusion center unit, deeply analyze the data through professional analysis methods, assist in fault diagnosis, optimize the liquid preparation process, and predict operating trends.

[0097] Specifically, the data fusion center unit uses multi-source data as input, let the input be... The data represents data from different sources. First, noise components are removed using a specific algorithm, followed by a filtering algorithm. The data is processed, and the processed data can be represented as follows: ,in This is the corresponding data after noise removal. Next, key features are extracted; let the feature extraction function be... The extracted feature data are It also enables data association, integrating and linking these processed data to form a deeply processed dataset. Output. This process ensures the accuracy and relevance of the data, providing a high-quality data foundation for subsequent analysis.

[0098] The intelligent analysis unit receives the dataset output by the data fusion center unit. Using fault diagnosis algorithms Solution preparation optimization algorithm Trend prediction algorithm In-depth analysis using professional analytical methods. Regarding fault diagnosis, if the output fault diagnosis result is... , It can determine whether the equipment has a fault and the location of the fault; for solution preparation optimization, the output optimization parameters are: , This can guide the solution preparation process more accurately; in terms of trend prediction, the output operational trend results are... , This facilitates advance planning of equipment operation and maintenance.

[0099] Please see the appendix Figure 5 Appendix Figure 8 The intelligent control and execution module includes a control instruction generation unit and an execution mechanism unit. The control instruction generation unit receives the analysis results from the intelligent analysis unit and converts them into operable control instructions adapted to different devices according to preset rules to regulate the device's operating status. The execution mechanism unit receives the instructions from the control instruction generation unit, executes the instructions to control the device's operation, and provides real-time feedback on the execution status.

[0100] Specifically, the control command generation unit takes the analysis results output by the intelligent analysis unit as input, and, based on a preset rule set, uses a transformation function... The analysis results are transformed into operable control commands adapted to different devices, and the relationship can be expressed as follows: If the analysis results show that the flow rate of a certain material needs to be adjusted for the liquid preparation, a precise flow rate adjustment command can be generated by combining the preset flow control rules corresponding to the material conveying equipment. This enables targeted control of the equipment's operating status, ensuring that each part of the equipment works according to reasonable requirements and guaranteeing the accurate execution of processes such as fracturing fluid preparation.

[0101] The actuator unit receives control commands and generates control commands output by the control command generation unit. As input, the corresponding equipment components are operated according to the instructions, and the equipment performs the following actions: The function to be executed is ,but This means that the actuator drives pumps, motors, and other equipment components to complete corresponding actions according to instructions, such as adjusting motor speed or controlling valve opening and closing. Simultaneously, the actuator unit provides real-time feedback on the execution status. The control command generation unit is given feedback, which enables it to adjust subsequent commands in a timely manner to form a closed-loop control, ensuring that the equipment is always in a good operating and control state and improving the accuracy and stability of the overall equipment operation.

[0102] Please see the appendix Figure 5 Appendix Figure 9 The data storage and management module includes a database system unit and a data security and backup mechanism unit. The database system unit is used to store various types of data related to the storage device, classify and organize the data, control access permissions to ensure security, and provide a data sharing platform. The data security and backup mechanism is used to ensure data security, realize data backup, support data recovery, and maintain business continuity.

[0103] Specifically, for a database system unit, its input is various types of raw data generated during device operation. This includes equipment operating parameters, solution preparation data, etc. Organized through a classification function. right To process, that is Output To categorize the data, we aim to make it clear and easy to find and use later. Simultaneously, we utilize access control functions. Based on the different user roles and permission rules set, set as follows: Controlling access behavior can be represented as Output This represents the permitted access after authorization, thereby ensuring data security and preventing unauthorized access and data leakage. Furthermore, this unit can provide a data sharing platform, enabling categorized and authorized data to be shared and utilized by different modules or personnel in accordance with rules, promoting collaborative work related to the equipment.

[0104] The data security and backup mechanism unit takes data from the database system unit as input and applies security protection functions. To ensure data security, encryption and other methods are used to output data. , To ensure data security, the device backup operation function is as follows: Perform backups according to the set backup strategy. The relationship is Output This system provides data backup functionality. In the event of data loss or other unforeseen circumstances requiring data recovery, the system will be able to restore the data based on the backup. Through the recovery function Perform a recovery operation, that is Output To recover the data, support data recovery, maintain business continuity, and ensure that equipment-related operations are not interrupted due to data issues.

[0105] This embodiment also provides a control method for the aforementioned intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment, including:

[0106] Start-up steps: Connect the main power supply to the intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment and enter the standby state;

[0107] Data acquisition steps: Real-time acquisition of the operating status data and fracturing fluid characteristic data of the intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment;

[0108] Data processing and judgment steps: The collected operating status data and fracturing fluid characteristic data are preprocessed, data fusion and feature extraction are performed, and fault diagnosis, operating trend prediction and fluid mixing parameter optimization analysis are performed based on preset rules or analysis models to generate judgment results;

[0109] Execution steps: Based on the judgment result, control commands are generated and the actuator unit is driven to perform actions to automatically regulate the material conveying, liquid conveying and stirring processes.

[0110] This embodiment provides a control method for a skid-mounted, intelligent powder-based, non-mixing variable viscosity fracturing fluid system, which has the following technical advantages:

[0111] This has enabled a shift in decision-making from "experience-driven" to "data-driven," ensuring the accuracy and scientific rigor of the solution preparation process.

[0112] This method acquires comprehensive data on equipment operation and fracturing fluid characteristics in real time through data acquisition steps, and then performs in-depth analysis and intelligent decision-making through data processing and judgment steps. This completely changes the traditional extensive mode that relies on worker experience and manual adjustment, making fracturing fluid preparation based on precise real-time data and preset models, eliminating human error at the source, and ensuring the accuracy and repeatability of the fluid ratio and the performance of the final product.

[0113] An intelligent closed-loop control system consisting of "perception-decision-execution" was constructed, which significantly improved the system's adaptive capability.

[0114] This method integrates data acquisition, intelligent analysis, and control execution into a continuous, automated closed loop. The system can detect changes such as viscosity deviation and flow fluctuations in real time, quickly diagnose these changes using a built-in model, and generate optimization commands. These commands then drive the actuators (such as adjusting the screw conveyor speed and solenoid valve opening) for precise correction. This closed-loop control gives the equipment strong adaptive capabilities, enabling it to proactively respond to fluctuations in material properties or external disturbances, and consistently maintain the fracturing fluid preparation at optimal process parameters.

[0115] It endows equipment with predictive maintenance and forward-looking control capabilities, effectively improving operational safety and efficiency.

[0116] The operational trend prediction and fault diagnosis functions in the method enable the system not only to handle current problems but also to predict future conditions based on historical and real-time data. For example, it can predict potential faults by analyzing motor current and vibration trends, or predict viscosity change trends to adjust the formula in advance. This achieves a leap from "reactive maintenance" to "predictive maintenance," and from "passive response" to "proactive control," greatly reducing the risk of unexpected downtime, optimizing production planning, and improving the overall operating efficiency (OEE) and long-term economic efficiency of equipment.

[0117] It achieves integrated and intelligent control throughout the entire process, reducing operational complexity and reliance on human resources.

[0118] This control method integrates the complex processes of feeding, water supply, mixing, and discharging—which previously required multiple people and decentralized control—into a single automated process centrally managed by a control system. Operators only need to start the system to remotely monitor and interact with the entire system, eliminating the need for manual operation in hazardous or noisy environments. This significantly reduces the skill requirements and workload for operators, lowers labor costs, and further enhances the consistency and reliability of the entire system by minimizing human intervention.

[0119] In summary, this control method serves as the "brain" and "nerve center" of the entire skid-mounted equipment. Through a series of digital and intelligent technologies, it organically organizes the hardware, achieving a digital, automated, and intelligent upgrade of the fracturing fluid preparation process, ultimately creating significant value in multiple dimensions such as quality, efficiency, safety, and cost.

[0120] Optionally, in the control method of a digital intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment according to this embodiment, the data acquisition step includes:

[0121] The inlet flow rate data is collected by the inlet flow sensor;

[0122] The viscosity data of the fracturing fluid is collected using the viscosity sensor.

[0123] The sensor network unit collects at least one of the temperature, pressure, and vibration data of the skid-mounted equipment for the intelligent powder-type non-mixing variable viscosity fracturing fluid.

[0124] Optionally, in the control method of a digital intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment according to this embodiment, the data processing and judgment steps include:

[0125] The collected raw data undergoes analog-to-digital conversion, filtering, and amplification preprocessing.

[0126] Data fusion is performed on the preprocessed multi-source data to remove noise and extract key features;

[0127] Based on the extracted features, intelligent analysis models are used for fault diagnosis, determination of deviation of solution preparation parameters, or prediction of operating trends.

[0128] Optionally, in the control method of a digital intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment according to this embodiment, the fluid mixing parameter optimization analysis in the data processing and judgment step includes:

[0129] Compare the real-time collected fracturing fluid viscosity data with the target viscosity range;

[0130] When the real-time viscosity deviates from the target viscosity range, it is determined that the liquid preparation parameters are abnormal, and optimized parameters are generated to adjust the powder delivery speed or water intake.

[0131] Optionally, in the control method of a digital intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment according to this embodiment, the operation trend prediction in the data processing and judgment step includes:

[0132] Acquire historical operating data and real-time collected operating status data of the equipment to construct a time series dataset;

[0133] Based on the aforementioned time series dataset, a trend prediction algorithm is used. f The prediction process analyzes and generates operational trend prediction results. T The prediction of the operational trend includes at least the performance degradation trend of key components or the viscosity change trend of fracturing fluid.

[0134] Optionally, in the control method of a digital intelligent powder-type non-mixing variable viscosity fracturing fluid skid-mounted equipment according to this embodiment, the execution steps include:

[0135] Based on the optimized parameters generated by the liquid preparation parameter optimization analysis, control commands are generated to control and adjust the solid material conveying amount of the feeding mechanism and / or control and adjust the water inlet amount of the water delivery mechanism.

[0136] Based on the fault diagnosis results, generate instructions to shut down or reduce the frequency of the equipment.

[0137] Optionally, the control method for a skid-mounted equipment for intelligent powder-based, non-mixing variable viscosity fracturing fluid according to this embodiment further includes:

[0138] Remote monitoring and intervention steps: Transmit the operating status data, fracturing fluid characteristic data and judgment results to the remote monitoring terminal, and receive manual intervention instructions from the remote monitoring terminal to override or correct the automatically generated control instructions.

[0139] Please see the appendix Figure 10 The control method for a skid-mounted equipment for intelligent powder-based variable viscosity fracturing fluid without mixing, as described in this embodiment, includes the following steps:

[0140] S1. Check the connection and stability of each structural component, pipe, power equipment and auxiliary component, and at the same time confirm that each module of control box 12 can work normally.

[0141] S2. After connecting the main power supply of the equipment and powering on each module to enter the standby state, the sensor network unit senses physical quantities and the data is preprocessed and transmitted by the data acquisition unit. The data is then processed, command generated and executed sequentially by the data processing and analysis module and the intelligent control and execution module to realize material conveying and mixing. At the same time, the equipment operation can be remotely viewed and intervened through the remote monitoring and interaction module as needed.

[0142] S3. After completing the work, issue a stop command through control box 12 to stop the operation of each component of the equipment in sequence. Subsequently, regularly clean, inspect, and maintain each component of the equipment and sensors, summarize and optimize maintenance based on stored data, and check the effectiveness of data security and backup mechanisms.

[0143] Specifically, by inspecting the connections and stability of each structural component, pipeline, power equipment, and auxiliary component, potential problems such as loose installations or loose connections that could affect the normal operation of the equipment can be identified in advance, preventing malfunctions caused by loose or detached components during operation. Simultaneously, confirming the normal operation of all 12 modules in the control box ensures that each module can accurately perform functions such as data acquisition, analysis, command generation, remote monitoring, and data management as designed during subsequent equipment operation, laying the foundation for the stable operation of the entire equipment.

[0144] After the main power is connected, each module powers on and enters standby mode. First, the sensor network unit senses physical quantities in the equipment and its operating environment, such as temperature and pressure at key equipment components and material flow rates. The data acquisition unit preprocesses and transmits this sensed data, ensuring it is delivered to subsequent modules in the appropriate format and with accurate content. Next, the data processing and analysis module further processes the data, extracting its value to assist in optimizing fracturing fluid preparation parameters and diagnosing faults. The intelligent control and execution module generates and executes instructions based on the analysis results, ensuring that material conveying and mixing operations are performed according to precise procedures and parameters, guaranteeing the orderly progress of fracturing fluid preparation and delivery. The remote monitoring and interaction module allows for remote viewing of equipment operating status as needed, and manual intervention when necessary, enhancing the controllability and flexibility of equipment operation. This enables the equipment to better adapt to different working conditions and respond to emergencies, improving overall operating efficiency and quality.

[0145] After completing the work, a stop command is issued via control box 12 to sequentially stop the operation of each component. This standardizes the equipment shutdown process and prevents damage caused by sudden component stops or adverse effects on subsequent startups. Regular cleaning, inspection, and maintenance of all equipment components and sensors are performed. This promptly removes accumulated materials, dust, and other impurities from component surfaces to prevent them from affecting component performance. It also checks for wear and aging and performs maintenance to extend the equipment's lifespan. Optimization and maintenance are summarized based on stored data. This allows for the identification of weak points and frequently problematic areas in the equipment based on past operational data, enabling targeted optimization measures to improve equipment performance. Data security and the effectiveness of backup mechanisms are checked to ensure the safety and reliability of equipment operating data. In the event of data loss or corruption, backup data can be used for recovery, maintaining the continuity of related business operations and ensuring long-term stable operation of the equipment.

[0146] The above embodiments are only used to illustrate the present invention and are not intended to limit the technical solutions described herein. Although the present invention has been described in detail with reference to the above embodiments, the present invention is not limited to the specific embodiments described above. Therefore, any modifications or equivalent substitutions to the present invention, as well as all technical solutions and improvements that do not depart from the spirit and scope of the invention, are covered within the scope of the claims of the present invention.

Claims

1. A control method of a digitized powder type free-forming viscosity fracturing fluid skid-mounted device, characterized in that, The digital intelligent powder type free-mixing variable viscosity fracturing fluid skid-mounted device comprises: a stirring mechanism comprising a stirring tank body with a stirring chamber inside; a feeding mechanism comprising a first screw conveyor having a first material inlet end for receiving solid materials and a first material outlet end in communication with the stirring tank body; a water feeding mechanism comprising a water feeding pump, a water inlet pipe connected to a water inlet end of the water feeding pump, a water inlet flow sensor arranged on the water inlet pipe for detecting water inlet flow, a water outlet pipe in communication with a water outlet end of the water feeding pump and an electromagnetic valve arranged on the water outlet pipe and having an adjustable opening degree for controlling the size of water inlet flow; a discharging mechanism comprising a discharging pump, an inlet end of the discharging pump in communication with the material outlet end of the stirring tank body, and a discharging pipe connected to an outlet end of the discharging pump and provided with a viscosity sensor for detecting the viscosity of the output mixture; a sensor network unit for collecting operating state data during the operation of the stirring mechanism, the feeding mechanism, the water feeding mechanism and the discharging mechanism; a control box electrically connected to the electrical components of the stirring mechanism, the feeding mechanism, the water feeding mechanism and the discharging mechanism, and electrically connected to the water inlet flow sensor, the electromagnetic valve and the viscosity sensor; the control box is configured to: acquire the operating state data detected by the sensor network unit, and the fracturing fluid characteristic data detected by the viscosity sensor and the water inlet flow sensor in real time; preprocess, data fuse and feature extract the acquired operating state data and fracturing fluid characteristic data, perform fault diagnosis, operating trend prediction and fracturing fluid parameter optimization analysis based on a preset rule or analysis model, and generate a judgment result; the control method comprises: a data acquisition step of acquiring the operating state data detected by the sensor network unit, and the fracturing fluid characteristic data detected by the viscosity sensor and the water inlet flow sensor in real time; a data processing and judgment step of preprocessing, data fusing and feature extracting the acquired operating state data and fracturing fluid characteristic data, performing fault diagnosis, operating trend prediction and fracturing fluid parameter optimization analysis based on a preset rule or analysis model, and generating a judgment result; an execution step of generating a control instruction and driving the execution mechanism unit to act according to the judgment result, so as to automatically control the material conveying, liquid conveying and stirring processes; the operating trend prediction in the data processing and judgment step comprises: acquiring historical operating data of the device and real-time collected operating state data, and constructing a time series data set; Based on the time series data set, the trend prediction algorithm is used for analysis and processing f The running trend prediction result is generated by analyzing and processing the trend prediction T The running trend prediction result at least includes the key component performance attenuation trend or the fracturing fluid viscosity change trend.

2. The control method of the digitized powder type free-fracking fluid prying device according to claim 1, characterized in that, the digital intelligent powder type free-mixing variable viscosity fracturing fluid skid-mounted device comprises a feeding and screening mechanism, the feeding and screening mechanism comprises a screening machine, and an output end of the screening machine is connected to a first material inlet end of the first screw conveyor, so as to convey the solid materials screened by the screening machine to the first screw conveyor.

3. The control method of the digitized powder type free-fracking fluid prying device according to claim 2, characterized in that, The digitized powder type free-mixing variable viscosity fracturing fluid skid-mounted device comprises a second screw conveyor vertically arranged, the bottom of the second screw conveyor being an inlet end and the top being an outlet end, the inlet end of the second screw conveyor being connected with the outlet end of the screening machine, and the outlet end of the second screw conveyor being connected with the first inlet end of the first screw conveyor.

4. The control method of the digitized powder type free-fracking fluid prying device according to claim 1, characterized in that, The data acquisition step comprises: acquiring water inflow data through the water inflow sensor; acquiring fracturing fluid viscosity data through the viscosity sensor; acquiring at least one of temperature, pressure and vibration data of the digitized powder type free-mixing variable viscosity fracturing fluid skid-mounted device through the sensor network unit.

5. The control method of the digitized powder type free-fracking fluid prying device according to claim 1, characterized in that, The data processing and judgment step comprises: analog-digital conversion, filtering and amplification pretreatment of the collected raw data; data fusion of the pretreated multi-source data, noise removal and key feature extraction; fault diagnosis, fluid mixing parameter optimization analysis or operation trend prediction based on the extracted features through an intelligent analysis model.

6. The control method of the digitized powder type free-fracking fluid prying device according to claim 5, characterized in that, The fluid mixing parameter optimization analysis in the data processing and judgment step comprises: comparing the real-time fracturing fluid viscosity data with the target viscosity range; when the real-time viscosity deviates from the target viscosity range, judging that the fluid mixing parameter is abnormal, and generating optimization parameters for adjusting the powder delivery speed or water inflow.

7. The control method according to claim 5, characterized by, The execution step comprises: generating control instructions for controlling adjustment of the solid material delivery amount of the feeding mechanism and / or the water inflow of the water feeding mechanism according to the optimization parameters generated by the fluid mixing parameter optimization analysis; generating equipment shutdown or reduced frequency operation instructions according to the fault diagnosis result.

8. The control method according to claim 7, characterized by, Further comprising: remote monitoring and intervention step: transmitting the operation state data, fracturing fluid characteristic data and judgment result to a remote monitoring terminal, and receiving manual intervention instructions from the remote monitoring terminal to override or correct the automatically generated control instructions.

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