Human-computer interaction data processing method, terminal equipment and system

By adopting human-computer interaction data processing methods in petroleum engineering well sites, using voice recognition technology to analyze user needs and feedback drilling parameter data, the problems of poor timeliness of data acquisition and inability to achieve human-computer interaction in the existing technology are solved, and efficient and flexible data acquisition and improved work efficiency are achieved.

CN120020943APending Publication Date: 2025-05-20CHINA PETROCHEMICAL CORP +3
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Patent Information

Application Number
CN202311550714.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-11-20
Publication Date
2025-05-20

AI Technical Summary

Technical Problem

The acquisition of real-time data parameters of drilling in petroleum engineering well sites has problems such as poor timeliness, cumbersome installation and deployment, large workload, and the inability to obtain specific data when human-computer interaction is not achieved.

Method used

It provides a human-computer interaction data processing method, analyzes the user's voice demand instructions through voice recognition, querys and feedbacks corresponding drilling parameter data, supports intelligent voice interaction, and liberates the hands of the on-site staff.

Benefits of technology

It realizes rapid and flexible acquisition of real-time drilling parameter data in oil engineering well sites, improves the work efficiency and user experience of on-site staff, and solves the shortcomings of traditional data distribution methods.

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Abstract

The invention provides a man-machine interaction data processing method, and relates to the technical field of petroleum engineering well sites, and the method comprises the steps: receiving a voice demand instruction sent by a user in a current user dialogue event; performing voice recognition analysis on the voice demand instruction, and determining a drilling parameter name pointed by the voice demand instruction and a target object name; querying the current drilling parameter name and a real-time data value corresponding to the target object name, and determining drilling parameter data adapted to user requirements; and feeding back the drilling parameter data to the user. According to the man-machine interaction data processing method provided by the invention, intelligent voice interaction with on-site workers is supported, voice demand instructions of the on-site workers are received, drilling parameter data are fed back to the on-site workers, both hands of the on-site workers can be liberated, and the working efficiency of the on-site workers is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of oil engineering well sites and is applied to the acquisition of real-time data parameters for drilling in oil engineering well sites. Specifically, it relates to a human-computer interaction data processing method, terminal device, and system. Background Art

[0002] In the oil engineering drilling site, drilling construction is carried out through drill bits, drill pipes, mud circulation, etc. During drilling, various sensors are used to detect some parameters during drilling, and the parameters of these sensors are aggregated to a computer through signal lines for display.

[0003] As the data center of the drilling site, comprehensive logging plays an important and irreplaceable role in the process of oil and gas drilling. Currently, during the logging process, the logging instrument data can only be shared with the on-site staff of each position through traditional modes such as terminal displays or walkie-talkies. This method has poor timeliness, is cumbersome to install and deploy, has a large workload, is greatly affected by the sense of responsibility of on-site staff, and is difficult to control the quality, and has gradually shown a dilemma that is not suitable for the industry development and market demand.

[0004] Since multi-position cooperation is required at the drilling site and each position needs to timely understand the real-time drilling parameter data, currently, the drilling data computer is distributed to each position through the well site network or VGA terminal display. Distributing data through a computer has many deficiencies for the drilling site. For example, the data displayed on the computer cannot be vocalized, and it is impossible to achieve human-computer interaction to obtain specific data that different people want.

[0005] In view of the problems of the prior art, the present invention provides a human-computer interaction data processing method, terminal device, and system. Summary of the Invention

[0006] In view of the problems of the current prior art, the present invention provides a human-computer interaction data processing method, which includes:

[0007] In the current user dialogue event, receiving a voice requirement instruction issued by the user;

[0008] Performing voice recognition and analysis on the voice requirement instruction to determine the name of the drilling parameter and the name of the target object pointed to by the voice requirement instruction;

[0009] Querying the real-time data value corresponding to the current drilling parameter name and the target object name to determine the drilling parameter data that meets the user's requirements;

[0010] Feeding back the drilling parameter data to the user.

[0011] According to an embodiment of the present invention, the voice requirement instruction is subjected to voice recognition and analysis through the following steps:

[0012] Perform speech-to-text conversion processing on the speech demand instruction to obtain a text demand instruction;

[0013] For the text demand instruction, perform semantic understanding and keyword extraction to determine the keyword text corresponding to the text demand instruction;

[0014] In the parameter name database, search and determine whether there is a drilling parameter name and a target object name that match the keyword text;

[0015] If the judgment result is yes, mark the drilling parameter name and the target object name that match the keyword text as the drilling parameter name and the target object name pointed to by the speech demand instruction;

[0016] If the judgment result is no, enter the parameter setting event.

[0017] According to an embodiment of the present invention, the drilling parameter data adapted to the user's needs is determined through the following steps: In the well site parameter database, extract the real-time data text value corresponding to the current drilling parameter name and the target object name to determine the drilling parameter data in text form adapted to the user's needs.

[0018] According to an embodiment of the present invention, the drilling parameter data is fed back to the user through the following steps: Perform text-to-speech conversion processing on the drilling parameter data in text form to obtain the drilling parameter data in speech form, and feed back the drilling parameter data in speech form to the user.

[0019] According to an embodiment of the present invention, in the parameter setting event, the method includes:

[0020] In the parameter setting database, search and determine whether there is a settable parameter name and an adjustment direction name that match the keyword text;

[0021] If the judgment result is yes, mark the settable parameter name and the adjustment direction name that match the keyword text as the settable parameter name and the adjustment direction name pointed to by the speech demand instruction, and execute;

[0022] If the judgment result is no, mark the current speech demand instruction as an invalid instruction.

[0023] According to an embodiment of the present invention, the method includes: presetting a feedback period or a feedback threshold for the data feedback type, and when the feedback period or the feedback threshold is triggered, marking the real-time data value corresponding to the current data feedback type as the drilling parameter data and feeding it back to the user.

[0024] According to another aspect of the present invention, there is also provided a storage medium, which contains a series of instructions for executing the method steps described in any one of the above.

[0025] According to another aspect of the present invention, there is also provided a human-computer interaction data processing terminal device, which executes the method described in any one of the above. The terminal device includes:

[0026] A voice recognition module, which executes the method described in any one of the above;

[0027] A wireless transmission module, which has the ability of wireless spread spectrum modulation;

[0028] An audio input / output module, which has the ability of voice reception and voice playback.

[0029] According to another aspect of the present invention, there is also provided a human-computer interaction data processing system. The system includes: the terminal device, a signal amplifier, and an industrial control computer as described above. Among them, the signal amplifier is used to enhance the signal and ensure the communication between the industrial control computer and the terminal device.

[0030] According to another aspect of the present invention, there is also provided a human-computer interaction data processing well site. The well site includes: a logging instrument and the system as described above.

[0031] The present invention provides a human-computer interaction data processing method, a terminal device, and a system. Compared with the prior art, it has the following advantages:

[0032] 1) The present invention provides a human-computer interaction data processing method, which supports intelligent voice interaction with on-site staff, receives voice requirement instructions from on-site staff, and feeds back drilling parameter data to on-site staff, enabling the liberation of the hands of on-site staff and improving their work efficiency.

[0033] 2) The present invention provides a human-computer interaction data processing terminal device, which is more flexible than the traditional data distribution method. Through a human-computer interaction data processing method, the terminal device provides drilling parameter data to the staff at each post on the drilling site through intelligent voice interaction, with a higher degree of intelligence.

[0034] 3) The present invention provides a human-computer interaction data processing system and a well site, which utilize technologies such as artificial intelligence, voice recognition, and wireless transmission to achieve intelligent human-machine voice interaction, effectively solving practical problems such as key post personnel being unable to obtain logging data in real time, unable to conduct human-machine conversations, and having a single monitoring and alarm method.

[0035] Other features and advantages of the present invention will be set forth in the following description, and in part will be obvious from the description, or may be learned by practice of the present invention. The objectives and other advantages of the present invention may be realized and attained by the structure particularly pointed out in the specification, claims as well as the drawings. Description of the Drawings

[0036] The drawings are provided to facilitate a further understanding of the present invention, and constitute a part of the specification. They are used in conjunction with the embodiments of the present invention to explain the present invention, but do not constitute a limitation to the present invention. In the drawings:

[0037] Figure 1 A step flowchart of a human-computer interaction data processing method according to an embodiment of the present invention is shown;

[0038] Figure 2 An interaction schematic diagram of a parameter acquisition event according to an embodiment of the present invention is shown;

[0039] Figure 3 An interaction schematic diagram of a parameter setting event according to an embodiment of the present invention is shown;

[0040] Figure 4 A structural schematic diagram of a human-computer interaction data processing terminal device according to an embodiment of the present invention is shown;

[0041] Figure 5 A structural schematic diagram of a human-computer interaction data processing system according to an embodiment of the present invention is shown.

[0042] In the drawings, the same components are denoted by the same reference numerals. Additionally, the drawings are not drawn to actual scale. Detailed Embodiments

[0043] To make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the embodiments of the present invention in detail with reference to the drawings.

[0044] Currently, the display method of drilling parameter data in the oil engineering well site is to distribute the data to each post with a computer as the terminal. This method is single and cannot achieve human-computer interaction. Aiming at the above defects of the prior art, the present invention mainly solves the acquisition of real-time drilling data parameters in the oil engineering well site. The existing method connects the computer of the drilling data to a splitter to expand multiple displays to display the data. This method is cumbersome to install and inconvenient to expand.

[0045] The present invention provides a human-computer interaction data processing method, terminal device and system. Through this terminal device, human-computer dialogue can be realized to obtain the required data, and no network is required. Anywhere within the well site range, on-site staff can obtain real-time drilling parameter data more conveniently and flexibly.

[0046] Figure 1 Shows a step flowchart of a human-computer interaction data processing method according to an embodiment of the present invention.

[0047] As Figure 1 shown, in step S1, in the current user dialogue event, a voice demand instruction issued by the user is received. Specifically, the user dialogue event includes but is not limited to: a parameter acquisition event and a parameter setting event. Among them, in the parameter acquisition event, the user can, through voice interaction, inquire about the real-time value of a certain drilling parameter (such as Figure 2 shown), and in the parameter setting event, the user can, through voice interaction, set parameters such as volume (such as Figure 3 shown).

[0048] As Figure 1 shown, in step S2, the voice demand instruction is subjected to voice recognition analysis to determine the name of the drilling parameter and the name of the target object pointed to by the voice demand instruction. Specifically, the name of the drilling parameter pointed to by the voice demand instruction is recognized through a drilling parameter classification model, and then the real-time data of the corresponding parameter is queried. Among them, the drilling parameter classification model recognizes and classifies the names of drilling parameters, and then, according to the classification of the current human-computer dialogue event being processed, it is queried whether the pre-stored drilling parameter data exists. If it is queried that it exists, the real-time data of the corresponding drilling parameter name is returned, and then the drilling parameter data that meets the user's needs is determined according to the user dialogue event and the current human-computer dialogue event being processed.

[0049] In one embodiment, in step S2, the voice demand instruction is subjected to voice recognition analysis through steps S21 - S25.

[0050] In step S21, the voice demand instruction is subjected to voice-to-text conversion processing to obtain a text demand instruction. Specifically, through voice recognition technology, the voice signal of the voice demand instruction is converted into a corresponding text or command, mainly including feature extraction, pattern matching criteria, and model training.

[0051] In step S22, for the text demand instruction, semantic understanding and keyword extraction are performed to determine the keyword text corresponding to the text demand instruction.

[0052] In step S23, in the parameter name database, it is searched and judged whether there are drilling parameter names and target object names that match the keyword text. Specifically, the parameter name database stores parameter names related to drilling parameters, such as well depth, late well depth, total pit volume, torque, hook load, drilling time, standpipe pressure, total hydrocarbon, etc. The target object name includes but is not limited to: No. 1 tank, No. 2 tank, No. 1 well, No. 2 well, etc.

[0053] In step S24, if the judgment result is yes, the drilling parameter name and the target object name that match the keyword text are marked as the drilling parameter name and the target object name pointed to by the voice demand instruction.

[0054] In step S25, if the judgment result is no, the parameter setting event is entered.

[0055] In one embodiment, in step S2, in the parameter setting event, a human-computer interaction data processing method includes: searching and judging in the parameter setting database whether there are settable parameter names and adjustment direction names that match the keyword text; if the judgment result is yes, the settable parameter names and adjustment direction names that match the keyword text are marked as the settable parameter names and adjustment direction names pointed to by the voice demand instruction, and executed; if the judgment result is no, the current voice demand instruction is marked as an invalid instruction. Specifically, if the intention of the user instruction cannot be determined, the parameter names that may be obtained will be fed back to the user, and the user can send the instruction again.

[0056] As Figure 1 shown, in step S3, the real-time data values corresponding to the current drilling parameter name and the target object name are queried to determine the drilling parameter data that adapts to the user's needs.

[0057] In one embodiment, in step S3, the drilling parameter data that adapts to the user's needs is determined through the following steps: in the wellsite parameter database, the real-time data text values corresponding to the current drilling parameter name and the target object name are extracted to determine the drilling parameter data in text form that adapts to the user's needs.

[0058] As Figure 1 shown, in step S4, the drilling parameter data is fed back to the user.

[0059] In one embodiment, in step S4, the drilling parameter data is fed back to the user through the following steps: performing text-to-speech conversion processing on the drilling parameter data in text form to obtain the drilling parameter data in voice form, and feeding back the drilling parameter data in voice form to the user.

[0060] In one embodiment, a human-computer interaction data processing method further includes: presetting the feedback period or feedback threshold of the data feedback type, and when the feedback period or feedback threshold is triggered, the real-time data value corresponding to the current data feedback type is marked as the drilling parameter data and fed back to the user.

[0061] In one embodiment, the voice demand instructions issued by the user and the pointed drilling parameter names and target object names / pointed settable parameter names and adjustment direction names are as shown in Table 1 below.

[0062] Table 1 Voice Requirement Instructions and Corresponding Results

[0063]

[0064]

[0065]

[0066] The present invention provides a method for processing human-computer interaction data, which supports intelligent voice interaction with on-site staff, receives voice requirement instructions from on-site staff, and feeds back drilling parameter data to on-site staff. It can free the hands of on-site staff, improve the work efficiency of on-site staff, and enhance the efficiency of obtaining well-site parameter data and user experience.

[0067] A method for processing human-computer interaction data, a terminal device, and a system provided by the present invention can also cooperate with a computer-readable storage medium. A computer program is stored on the storage medium, and the computer program is executed to run a method for processing human-computer interaction data. The computer program can run computer instructions, and the computer instructions include computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc.

[0068] The computer-readable storage medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0069] It should be noted that the content included in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice within the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electrical carrier signals and telecommunication signals.

[0070] Figure 4 Shows a schematic structural diagram of a human-computer interaction data processing terminal device according to an embodiment of the present invention.

[0071] According to another aspect of the present invention, a human-computer interaction data processing terminal device is also provided, which executes a human-computer interaction data processing method. The terminal device includes: a voice recognition module, a wireless transmission module, and an audio input and output module.

[0072] In one embodiment, the voice recognition module executes a human-computer interaction data processing method. Specifically, the voice recognition module adopted is an offline voice recognition module with low power consumption and small size, with a recognition rate of over 98%, and provides a microphone interface, an audio output interface, a programming interface, an instruction output interface, a data transmission interface, etc.

[0073] Furthermore, the voice recognition module does not rely on Internet support and requires voice instructions to be pre-programmed into the module in advance. Multiple command words can be set for the same instruction. The module also has a learning and memory function. As the frequency of human-computer interaction increases, it will self-learn and remember according to the person's voice and speech rate, and the recognition rate will become higher and higher.

[0074] In one embodiment, the wireless transmission module has the ability of wireless spread-spectrum modulation. Specifically, the wireless transmission module does not require a mobile network and adopts wireless spread-spectrum modulation technology. Due to the relatively special environment at the drilling site, such as rig interference, signal shielding by houses, and the long distance between the living area and the instrument room, a large number of tests were conducted on wireless transmission modules with different transmission powers and different operating frequencies, and finally an industrial-grade wireless transmission module with a transmission power of 30 dBm (decibel milliwatt) and an operating frequency band of 410 - 441 MHz (megahertz) was selected. This wireless transmission module has anti-interference ability, high stability, low power consumption, strong penetration ability, and a coverage range of up to 3 kilometers, which can fully meet the needs of the drilling site.

[0075] In one embodiment, the audio input / output module has the ability to receive and play voice. Specifically, the audio input / output module is integrated with a speaker and a microphone for voice interaction with the user.

[0076] As Figure 4 shown, the GPIO port 10 of the voice recognition module is connected to the MD0 port 1 of the wireless transmission module, and the GPIO port 11 of the voice recognition module is connected to the MD1 port 2 of the wireless transmission module to set the module status with low latency; the RXD port 12 of the voice recognition module is connected to the TXD port 4 of the wireless transmission module for the serial output of the wireless transmission module; the TXD port 13 of the voice recognition module is connected to the RXD port 3 of the wireless transmission module for the serial input of the wireless transmission module; the GPIO / INT port 14 of the voice recognition module is connected to the AUX port 5 of the wireless transmission module for the transmission status of the wireless transmission module.

[0077] As Figure 4As shown in the figure, the VCC port 15 of the voice recognition module and the VCC port 6 of the wireless transmission module are both connected to the power supply module. The GND port 16 of the voice recognition module and the GND port 7 of the wireless transmission module are both connected to the ground wire of the power supply module for power supply. The ANT- port 8 and the ANT+ port 9 of the wireless transmission module are connected to the signal amplifier for signal amplification. The SPK- port 17 and the SPK+ port 18 of the voice recognition module are used to connect to the speaker. The MIC- port 19 and the MIC+ port 20 of the voice recognition module are used to connect to the microphone.

[0078] The terminal device provided by the present invention has an intelligent voice interaction function and can realize human-computer dialogue. The terminal device docks the data of the drilling site and obtains different drilling well site data required by the on-site staff through the way of human-computer dialogue.

[0079] Figure 5 Shows a schematic structural diagram of a human-computer interaction data processing system according to an embodiment of the present invention.

[0080] According to another aspect of the present invention, a human-computer interaction data processing system is further provided, including: a human-computer interaction data processing terminal device, a signal amplifier, and an industrial control computer. Among them, the signal amplifier is used to enhance the signal and ensure the communication between the industrial control computer and the terminal device.

[0081] As Figure 5 As shown in the figure, a human-computer interaction data processing system is composed of an intelligent terminal, a signal amplifier, an industrial control computer and application software. The terminal device is used for human-computer interaction and voice playback of parameter data. The signal amplifier is used to enhance the signal and ensure the communication between the industrial control computer and the terminal device. The main function of the industrial control computer is to collect the data of the logging instrument and perform data interaction with the intelligent terminal. The application software in the industrial control computer is used to calculate and process the data and judge and analyze the instructions of the terminal device.

[0082] In one embodiment, the industrial control computer collects the data on the drilling parameter computer (logging instrument) in real time through a serial cable. It has a built-in wireless module. The wireless module plugs in an antenna (signal amplifier) to communicate with the terminal device. The industrial control computer uses a capacitive touch screen all-in-one machine, does not require a keyboard and mouse, and directly operates by touching the screen. It supports multiple installation methods and can be hung on the wall, fixed on the instrument panel or placed on the desktop. Further, the wireless module is built into the main board of the industrial control computer, and an external signal amplifier is connected to distribute the data with the terminal device.

[0083] Furthermore, the industrial control computer application software is installed on the industrial control computer. Firstly, it is used to collect drilling data from the logging instrument and then classify the data. Secondly, it is used to judge the instructions sent by the terminal device and find relevant data according to the instructions. The home page of the industrial control computer application software has four function icons, namely: Real-time Data, Parameter Settings, Device Management, and User Guide. Specifically, the Real-time Data page can display all logging parameters in real time, and the right area shows the interaction history records of each terminal device. The Parameter Settings interface can set parameters such as WITS identification, parameter alarm threshold, current working condition, and alarm time interval. The Device Management interface can manage terminal devices. By default, there are 6 terminal devices. If more terminal devices need to be added, a device with a corresponding number needs to be added here. If you want to reduce the number of selected terminal devices, select a terminal device to delete. After deletion, the terminal device will no longer receive data. Selecting a terminal device can view the setting status of the current terminal device. The User Guide interface can view the user guide.

[0084] In one embodiment, the signal amplifier is installed on the industrial control computer and the terminal device, and is equipped with two types of antennas, one is an indoor rubber rod antenna and the other is an outdoor suction cup antenna. If the terminal device is close to the industrial control computer and has a strong signal, the indoor antenna is used. If the distance is far, the outdoor antenna is used. The back of the terminal device can be drilled and it can be hung on the wall. Just plug in the power supply to work without any other operations.

[0085] In actual application, through the microphone on the voice recognition module of the terminal device, the voice demand instructions issued by the user are received, and then a query instruction is generated according to the command word (keyword). The query instruction is sent to the industrial control computer through the wireless transmission module. After receiving the instruction, the industrial control computer replies the corresponding data to the specified terminal device according to the content of the query instruction and the terminal device number. After receiving the data, the terminal device broadcasts it through the speaker. In addition, a certain time or data threshold can also be set on the industrial control computer to send data to all terminal devices regularly.

[0086] According to another aspect of the present invention, a man-machine interaction data processing well site is also provided, which includes: a logging instrument and a man-machine interaction data processing system. Specifically, as Figure 5 shown, in a certain well site, an industrial control computer and multiple terminal devices are set. The terminal devices can obtain the required data through voice command interaction, and it is possible to set to actively send data to the terminal devices in various ways such as reporting every time the well depth increases by one meter, reporting the late well depth, reporting parameter anomalies, reporting at time intervals, and reporting at the whole hour.

[0087] Furthermore, the master-slave transmission mode is adopted between the terminal devices. The host sends data and can specify the slave to receive it. Under the same channel, the host can receive the data sent by all slaves. The transparent transmission mode is adopted between the terminal devices. Any terminal device sends data, and the terminal devices with the same address and the same channel can receive the data simultaneously. The data is sent and received in a transparent manner, that is, what is sent is what is received.

[0088] The man-machine interaction data processing well site provided by the present invention utilizes the wireless spread spectrum technology to install terminal devices at various positions in the well site, obtain real-time drilling parameter data through man-machine interaction, and can voice the data, which more conveniently assists the on-site staff in construction operations. The operation is simple, the equipment is plug-and-play, and the operation is stable. Advanced artificial intelligence technology and wireless spread spectrum modulation technology are adopted, and the transmission distance is far. The voice command recognition is sensitive and the recognition rate is high. The industrial control computer has full-screen touch control and is sensitive in response. It can be docked with various types of logging instruments. Multiple alarm methods can be set.

[0089] In summary, the present invention provides a man-machine interaction data processing method, a terminal device and a system. Compared with the prior art, the following advantages are possessed:

[0090] 1) The present invention provides a man-machine interaction data processing method, which supports intelligent voice interaction with on-site staff, receives voice demand instructions from on-site staff, and feeds back drilling parameter data to on-site staff, which can liberate the hands of on-site staff and improve the work efficiency of on-site staff.

[0091] 2) The present invention provides a man-machine interaction data processing terminal device, which is more flexible than the traditional data distribution method. Through a man-machine interaction data processing method, the terminal device provides drilling parameter data to the staff at various positions in the drilling site through intelligent voice interaction, and the degree of intelligence is higher.

[0092] 3) The present invention provides a man-machine interaction data processing system and a well site, which utilize technologies such as artificial intelligence, voice recognition, and wireless transmission to realize man-machine intelligent voice interaction, and effectively solve practical problems such as key position personnel being unable to obtain logging data in real time, unable to conduct man-machine dialogue, and single monitoring and alarm methods.

[0093] It should be understood that the embodiments disclosed in the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should extend to equivalent alternatives of these features understood by those of ordinary skill in the relevant art. It should also be understood that the terms used herein are only for the purpose of describing specific embodiments and do not mean to limit.

[0094] In the description of the present invention, unless otherwise specified, "a plurality of" means two or more; the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "inner", "outer", "front end", "rear end", "head", "tail", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation on the present invention. In addition, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0095] In the description of the present invention, it should be noted that, unless otherwise clearly specified and defined, the terms "connected" and "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0096] Certain terms are used throughout the present application to refer to specific system components. As those skilled in the art will recognize, the same components can generally be referred to by different names, and thus the present application is not intended to distinguish components that differ only in name but not in function. In the present application, the terms "comprise", "include" and "have" are used in an open-ended fashion and should therefore be interpreted as meaning "including but not limited to...". In addition, the terms "substantially", "essentially" or "approximately" as may be used herein refer to the industry-accepted tolerances for the corresponding terms. As the term "coupled" as may be used herein includes direct coupling and indirect coupling via additional components, elements, circuits, or modules, where for indirect coupling, the intervening components, elements, circuits, or modules do not change the information of the signal but may adjust its current level, voltage level, and / or power level. Inferred coupling (e.g., where one element is inferred to be coupled to another element) includes direct and indirect coupling between the two elements in the same manner as "coupled".

[0097] The "one embodiment" or "embodiment" mentioned in the specification means that the specific features, structures, or characteristics described in connection with the embodiment are included in at least one embodiment of the present invention. Therefore, the phrases "one embodiment" or "embodiment" that appear throughout the specification do not necessarily all refer to the same embodiment.

[0098] Embodiments of the present invention are given for purposes of illustration and description, and are not exhaustive or limit the invention to the disclosed forms. Many modifications and variations are obvious to those of ordinary skill in the art. The embodiments are chosen and described in order to best explain the principles of the invention and its practical application, and to enable those of ordinary skill in the art to understand the invention and design various embodiments with various modifications suitable for a particular purpose.

[0099] Although the disclosed embodiments of the present invention are as above, the above content is only an embodiment adopted for the convenience of understanding the present invention, and is not intended to limit the present invention. Any person skilled in the art within the technical field to which the present invention pertains may make any modifications and changes in the form of implementation and details without departing from the spirit and scope disclosed by the present invention. However, the scope of patent protection of the present invention shall still be subject to the scope defined by the appended claims.

Claims

1. A method for processing human-computer interaction data, characterized in that: The method comprises: In the current user dialogue event, receive the voice demand command issued by the user; Performing voice recognition analysis on the voice demand instruction to determine the drilling parameter name and the target object name pointed to by the voice demand instruction; Query the real-time data value corresponding to the current drilling parameter name and the target object name to determine the drilling parameter data that meets user needs; The drilling parameter data is fed back to the user.

2. A method for processing human-computer interaction data as claimed in claim 1, characterized in that: The voice recognition analysis of the voice demand instruction is performed through the following steps: Performing voice-to-text conversion on the voice demand instruction to obtain a text demand instruction; Perform semantic understanding and keyword extraction on the text requirement instruction to determine the keyword text corresponding to the text requirement instruction; In the parameter name database, searching and determining whether there is a drilling parameter name and a target object name matching the keyword text; If the judgment result is yes, the drilling parameter name and the target object name matching the keyword text are marked as the drilling parameter name and the target object name pointed to by the voice demand instruction; If the judgment result is no, enter the parameter setting event.

3. A human-computer interaction data processing method as claimed in claim 2, characterized in that: The drilling parameter data adapted to the user's needs are determined by the following steps: in the well site parameter database, the real-time data text value corresponding to the current drilling parameter name and the target object name is extracted to determine the drilling parameter data in text form adapted to the user's needs.

4. A method for processing human-computer interaction data as claimed in claim 3, characterized in that: The drilling parameter data is fed back to the user through the following steps: performing text-to-speech conversion processing on the drilling parameter data in text form to obtain the drilling parameter data in speech form, and feeding back the drilling parameter data in speech form to the user.

5. A method for processing human-computer interaction data as claimed in any one of claims 2 to 4, characterized in that: In the parameter setting event, the method includes: In the parameter setting database, searching and determining whether there is a configurable parameter name and an adjustment direction name matching the keyword text; If the judgment result is yes, the configurable parameter name and the adjustment direction name matching the keyword text are marked as the configurable parameter name and the adjustment direction name pointed to by the voice demand instruction, and executed; If the judgment result is no, the current voice demand instruction is marked as an invalid instruction.

6. A method for processing human-computer interaction data according to any one of claims 1 to 5, characterized in that: The method comprises: presetting a feedback cycle or a feedback threshold of a data feedback type, and when the feedback cycle or the feedback threshold is triggered, marking a real-time data value corresponding to the current data feedback type as the drilling parameter data, and feeding back to a user.

7. A storage medium, characterized in that: It contains a series of instructions for executing the method steps as claimed in any one of claims 1 to 6.

8. A human-computer interaction data processing terminal device, characterized in that: The method according to any one of claims 1 to 6 is performed, wherein the terminal device comprises: A speech recognition module, which performs the method according to any one of claims 1 to 8; A wireless transmission module having wireless spread spectrum modulation capability; The audio input and output module has the ability to receive and play voice.

9. A human-computer interaction data processing system, characterized in that: The system comprises: the terminal device as claimed in claim 8, a signal amplifier, and an industrial computer, wherein the signal amplifier is used to enhance the signal to ensure communication between the industrial computer and the terminal device.

10. A human-computer interaction data processing well site, characterized in that: The well site comprises: a mud logging instrument and the system according to claim 9.