Drilling data management method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a drilling data management method and device, electronic equipment and a storage medium. According to the method, an intelligent helmet provided with a voice recognition network is provided, so that a user can send a query request to the intelligent helmet through a voice signal, and the voice recognition network automatically converts the voice signal into a data query instruction in a text format after monitoring the voice signal and requests drilling data from a database server; in the whole process, a user does not need to operate a drilling device and a computer at the same time, the operation complexity of the query process is reduced, the user only needs to input an approximate voice signal, the voice recognition network automatically recognizes and obtains an accurate data query instruction, the error probability of query operation is reduced, and the query efficiency is improved. The technical problems that the efficiency is low and misoperation is likely to occur due to the fact that a user needs to manually operate a computer in a current drilling data query mode are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of computer hardware, intelligent wearable devices and drilling technology, and in particular to a drilling data management method, device, electronic device and storage medium. Background Art

[0002] During drilling operations, users need to collect and process a large amount of data so that they can adjust the drilling parameters of the drilling equipment in a timely manner and take some necessary protective measures to ensure the efficiency and safety of the drilling operation.

[0003] With current technology, workers need to manually input query commands through a computer or tablet when working in underground drilling environments. This method requires workers to memorize various query commands, which is cumbersome and error-prone.

[0004] In summary, the current drilling data query method has technical problems such as requiring users to manually operate computers, resulting in low efficiency and prone to misoperation. Summary of the invention

[0005] In order to alleviate the technical problems that the current drilling data query method requires users to manually operate a computer, resulting in low efficiency and prone to misoperation, the embodiments of the present invention provide a drilling data management method, device, electronic device and storage medium.

[0006] In a first aspect, an embodiment of the present invention provides a method for managing drilling data, which is applied to a well site smart helmet, and the method includes:

[0007] Receiving user voice signals;

[0008] The voice signal is recognized through a built-in voice recognition network to obtain a data query instruction in a text format;

[0009] Sending the data query instruction to a database server;

[0010] receiving the drilling data returned by the database server;

[0011] The drilling data is displayed in a preset manner.

[0012] In some embodiments, displaying the drilling data in a preset drilling data display mode includes:

[0013] Collect image information of the drilling operation site through cameras;

[0014] fusing the image information with the drilling data to obtain fused data;

[0015] The fused data is displayed.

[0016] In some embodiments, displaying the drilling data in a preset drilling data display mode includes:

[0017] Acquire environmental noise data of the well site smart helmet;

[0018] Obtaining a noise cancellation signal according to the environmental noise data;

[0019] The drilling data is played audibly based on the noise cancellation signal.

[0020] In some implementations, the voice signal is recognized by a built-in voice recognition network to obtain a data query instruction in text format, including:

[0021] Performing text recognition on the voice signal through the voice recognition network to obtain voice text content;

[0022] Get location information;

[0023] The data query instruction is generated according to the location information and the voice text content.

[0024] In some implementations, obtaining location information includes:

[0025] Obtaining geographic location information fed back by a positioning module in the well site smart helmet;

[0026] The geographical location information is determined as location information.

[0027] In some implementations, obtaining location information includes:

[0028] Obtaining a device identifier of a wireless access device connected to the well site smart helmet;

[0029] The device identification is determined as the location information.

[0030] In some implementations, before receiving the user voice signal, the method further includes:

[0031] Acquire commonly used phonetic words at the well site and audio signals corresponding to the commonly used phonetic words;

[0032] According to the common speech words and the audio signal, construct a training set and a test set;

[0033] The network is trained by using the training set and the test set to obtain a trained speech recognition network, which is then updated to the well site smart helmet.

[0034] In a second aspect, an embodiment of the present invention provides a drilling data management device, including:

[0035] A first receiving module, used for receiving a user voice signal;

[0036] A recognition module, used to recognize the voice signal through a built-in voice recognition network to obtain a data query instruction in a text format;

[0037] A sending module, used for sending the data query instruction to a database server;

[0038] A second receiving module, used for receiving the drilling data returned by the database server;

[0039] The display module is used to display the drilling data in a preset drilling data display mode.

[0040] In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method described in the first aspect is implemented.

[0041] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by one or more processors, the method described in the first aspect is implemented.

[0042] Compared with the prior art, one or more embodiments of the present invention can at least bring the following beneficial effects:

[0043] The embodiment of the present invention provides a method, device, electronic device and storage medium for managing drilling data; the method includes: receiving a user voice signal, recognizing the voice signal through a built-in voice recognition network, obtaining a data query instruction in text format, sending the data query instruction to a database server, receiving the drilling data returned by the database server, and displaying the drilling data through a preset drilling data display method. In the method provided by the present scheme, a smart helmet provided with a voice recognition network is provided, so that the user can send a query request to the smart helmet through a voice signal, and the voice recognition network automatically converts the voice signal into a text format data query instruction after detecting the voice signal, and requests the drilling data from the database server, and then displays it through the smart helmet. During the whole process, the user does not need to operate the drilling equipment while operating the computer, which reduces the operation complexity of the query process, and the user only needs to input a rough voice signal, and the voice recognition network automatically recognizes and obtains an accurate data query instruction, which reduces the error probability of the query operation, that is, the present invention is based on a smart helmet with a voice recognition network, which can enable the user to obtain drilling data through voice, and alleviates the technical problems of low efficiency and easy misoperation caused by the need for the user to manually operate the computer in the current drilling data query method. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 A schematic diagram of an application scenario of the drilling data management method provided in an embodiment of the present application;

[0046] Figure 2 A first flow chart of a method for managing drilling data provided in an embodiment of the present application;

[0047] Figure 3 A first flow chart of a method for managing drilling data provided in an embodiment of the present application;

[0048] Figure 4 A schematic diagram of the structure of a drilling data management device provided in an embodiment of the present application.

[0049] In the drawings, the same reference numerals are used for the same components, and the drawings are not drawn to scale. DETAILED DESCRIPTION

[0050] Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as being limited to the embodiments set forth herein. On the contrary, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not intended to limit the scope of protection of the present invention.

[0051] It should also be noted that, for ease of description, only the parts related to the present invention are shown in the drawings. In the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0052] It should be noted that the concepts such as "first" and "second" mentioned in the present invention are only used to distinguish different systems, devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these systems, devices, modules or units.

[0053] It should be noted that the modifications of "one" and "plurality" mentioned in the present invention are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise clearly indicated in the context, it should be understood as "one or more".

[0054] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0055] Embodiment 1

[0056] Figure 1 It is a schematic diagram of an application scenario of the drilling data management method provided in an embodiment of the present application.

[0057] The drilling data management method provided in this application can be applied to Figure 1 In the application environment shown. Figure 1 , wherein user 101 is a user of the well site smart helmet 102, and user 101 may include well site operators, etc.; a speech recognition module is installed in the well site smart helmet 102, and the database server 103 can be connected through the provided interactive interface. The well site smart helmet 102 can also be offline deployed with a commonly used speech word recognition package (built-in speech recognition network) in the well site. The data stored in the database server 103 includes drilling data, and the database server 103 and the well site smart helmet 102 are connected and communicated through the network. The database server 103 can be hardware or software; when the database server is hardware, it can be implemented as a distributed cluster composed of multiple servers or terminal devices, or as a single server or a single terminal device; when the computing device is embodied as software, it can be installed in the hardware devices listed above, and it can be implemented as, for example, multiple software or software modules used to provide distributed services, or as a single software or software module. No specific limitation is made here.

[0058] In this embodiment, when the user 101 uses the well site smart helmet 102, he can send a voice signal to the well site smart helmet 102, for example: query the current hook load and torque of a well; the well site smart helmet 102 receives the voice signal from the user, and recognizes the voice signal through the built-in voice recognition network, obtains the data query instruction in text format, and then sends the data query instruction to the database server 103, the database server 103 queries and filters out the corresponding drilling data, and returns the queried drilling data results to the well site smart helmet 102, the well site smart helmet 102 receives the drilling data returned by the database server 103, and displays the returned drilling data through a preset drilling data display method, and the user 101 can obtain the queried drilling data through the well site smart helmet 102.

[0059] Embodiment 2

[0060] Figure 2 For a first flow chart of the drilling data management method provided in the embodiment of the present application, please refer to Figure 2The drilling data management method provided in this embodiment includes:

[0061] Step S110: receiving a user voice signal.

[0062] In this application, users may include well site operators, etc.; voice signals refer to voice query commands issued by users to the well site smart helmets, such as: querying the current hook load and torque of a well, querying the mud density data of the last 10 minutes, etc.

[0063] In some embodiments, before receiving the user voice signal, it also includes: obtaining commonly used voice words in the well site and audio signals corresponding to the commonly used voice words; constructing a training set and a test set based on the commonly used voice words and the audio signals; performing network training through the training set and the test set to obtain a trained speech recognition network, and updating it to the well site smart helmet.

[0064] Specifically, this embodiment selects the following wellsite voice words for recognition training based on the frequency and demand for wellsite operators to obtain drilling data: drilling conditions, hook load, drilling time, drilling pressure, rotation speed, torque and other drilling parameters; after recognition training, a trained speech recognition network (i.e., speech word recognition package) is obtained; due to the poor network conditions at the wellsite, in order to ensure that the wellsite smart helmet can quickly and efficiently recognize the voice query instructions (i.e., voice signals) of the wellsite operators, the wellsite commonly used voice word recognition package is deployed offline on the wellsite smart helmet terminal, that is, the wellsite commonly used voice word recognition package is the speech recognition network built into the wellsite smart helmet.

[0065] It should be noted that when training the speech recognition network, personalized training can be performed based on each user's accent, frequency of commonly used speech words, etc. to obtain a customized personalized speech recognition network; of course, the speech recognition network can also be trained into a general speech recognition network.

[0066] Step S120: Recognize the voice signal through the built-in voice recognition network to obtain a data query instruction in text format.

[0067] In this embodiment, after receiving the user's voice signal, the well site smart helmet parses the voice signal into a data query instruction in text format through a built-in voice recognition network.

[0068] In some embodiments, the voice signal is recognized through a built-in voice recognition network to obtain a data query instruction in text format, including: performing text recognition on the voice signal through the voice recognition network to obtain voice text content; obtaining location information; and generating the data query instruction based on the location information and the voice text content.

[0069] It can be understood that the location information is introduced in this embodiment because the data results obtained by searching and searching based on the same keyword (i.e., data query instruction) in different locations (environments) may be different. Therefore, the introduction of location information can improve the accuracy of the well site data query results.

[0070] In some implementations, the obtaining of location information includes: obtaining geographic location information fed back by a positioning module in the well site smart helmet; and determining the geographic location information as location information.

[0071] In this application, the positioning module may be a GPS positioning module or a Beidou positioning module or a GPS and Beidou dual system positioning module, etc. Geographic location information refers to the latitude, longitude, altitude, etc. of the well site operator (user) when performing data query.

[0072] In some implementations, the acquiring of location information includes: acquiring a device identifier of a wireless access device connected to the well site smart helmet; and determining the device identifier as the location information.

[0073] Specifically, this embodiment is applicable to a well site environment provided with short-range wireless communication, the wireless access device may be a router, etc., a plurality of wireless access devices are provided in the well site, and the well site smart helmet is connected to communicate with the nearest wireless access device.

[0074] Step S130: Send the data query instruction to the database server.

[0075] In this embodiment, following step S120, after obtaining the data query instruction in text format, the well site database server is connected and a data query request is sent to the well site database server, that is, the data query instruction in text format is sent to the database server to find and filter out the corresponding drilling data.

[0076] Step S140: receiving the drilling data returned by the database server.

[0077] In this embodiment, after searching and filtering out the corresponding drilling data through the database server, the database server returns the drilling data to the well site smart helmet, and the well site smart helmet receives the drilling data returned by the database server.

[0078] Step S150: displaying the drilling data in a preset drilling data display manner.

[0079] In the present application, the data display method includes displaying the drilling data through the display screen of the well site smart helmet, displaying the drilling data through the audio equipment of the well site smart helmet, etc.

[0080] In some embodiments, displaying the drilling data by a preset drilling data display method includes: collecting image information of the drilling operation site by a camera; fusing the image information with the drilling data to obtain fused data; and displaying the fused data.

[0081] Specifically, the well site smart helmet is also equipped with a surround head camera, which can obtain the situation at the drilling operation site in real time, and display the image information and query results (i.e. the drilling data returned by the database server) on the well site smart helmet display screen.

[0082] In some embodiments, displaying the drilling data by a preset drilling data display method includes: acquiring environmental noise data of the well site smart helmet; obtaining a noise elimination signal according to the environmental noise data; and playing the drilling data in audio form based on the noise elimination signal.

[0083] That is, users can obtain drilling data query results fed back from the database server through video or audio presentation via the well site smart helmet.

[0084] In summary, in the drilling data management method provided in the embodiment of the present application, a smart helmet equipped with a voice recognition network is provided, so that the user can send a query request to the smart helmet through a voice signal. After detecting the voice signal, the voice recognition network automatically converts it into a data query instruction in text format, and requests the database server for drilling data, which is then displayed through the smart helmet. During the entire process, the user does not need to operate the drilling equipment and the computer at the same time, which reduces the operational complexity of the query process, and the user only needs to input a rough voice signal, and the voice recognition network automatically recognizes and obtains accurate data query instructions, which reduces the error probability of the query operation. That is, the present invention is based on a smart helmet with a voice recognition network, which allows users to obtain drilling data through voice, alleviating the technical problems of the current drilling data query method that requires users to manually operate the computer, which is inefficient and prone to misoperation.

[0085] Figure 3 For a second flow chart of the drilling data management method provided in the embodiment of the present application, please refer to Figure 3 The drilling data management method provided in this embodiment includes:

[0086] Step 1: The well site operator (corresponding to the user in the above text) sends a voice command (corresponding to the voice signal in the above text) to the well site smart helmet to query the drilling data.

[0087] In this embodiment, the voice command may be to query the current hook load and torque of a certain well, query the mud density data of the last 10 minutes, etc.

[0088] Step 2: Training on commonly used phonetic words at the well site.

[0089] In this embodiment, the training of commonly used speech words in the well site is completed before the well site operators use the well site smart helmet to query the drilling data. Specifically, according to the frequency and demand of the well site operators to obtain drilling data, the following well site speech words are selected for recognition training: drilling conditions, hook load, drilling time, drilling pressure, rotation speed, torque and other drilling parameters; after recognition training, the trained well site commonly used speech word recognition package (corresponding to the speech recognition network mentioned above) is obtained.

[0090] Step 3: Deploy the trained well site common speech word recognition package.

[0091] This embodiment is also completed before the well site operator uses the well site smart helmet to query the drilling data. Specifically, due to the poor network conditions at the well site, in order to ensure that the well site smart helmet can quickly and efficiently recognize the voice commands (i.e., voice signals) of the well site operators, the well site commonly used voice word recognition package is deployed offline on the well site smart helmet terminal, that is, the well site commonly used voice word recognition package is the voice recognition network built into the well site smart helmet.

[0092] Step 4: Install the voice recognition module and display.

[0093] In this embodiment, a voice recognition module is installed in the well site smart helmet, and the module can be connected to the drilling database server through the provided interactive interface; and a display screen is installed on the well site smart helmet to feed back the queried drilling data to the well site operators.

[0094] Step 5: The well site smart helmet connects to the database and queries data.

[0095] In this embodiment, following step 1, after the well site operator issues a voice command and the well site smart helmet receives the voice command, the well site smart helmet connects to the well site database server to query data.

[0096] Step 6: The well site smart helmet parses the voice command.

[0097] In this embodiment, after receiving the voice command issued by the well site operator, the well site smart helmet parses the received voice command through the internally deployed common voice word recognition package to obtain the data query command in text format; that is, it corresponds to the above "through the built-in voice recognition network, the voice signal is recognized to obtain the data query command in text format".

[0098] Step 7: The well site smart helmet connects to the database and sends a query request.

[0099] In this embodiment, following step 6, after parsing the voice command into a data query command in text format, the well site smart helmet connects to the well site database server and sends a data query request to the well site database server to find and filter out the corresponding drilling data.

[0100] Step 8: Display the query results on the display screen.

[0101] In this embodiment, after searching and filtering the corresponding drilling data through the database server, the database server returns the drilling data to the well site smart helmet. The well site smart helmet receives the drilling data returned by the database server and displays the query results to the well site operators through the display screen. The well site operators can view the query results through the display screen.

[0102] Specifically, the well site smart helmet is also equipped with a surround head camera, which can obtain the situation at the drilling operation site in real time, and display the image information and query results (i.e. the drilling data returned by the database server) on the well site smart helmet display screen.

[0103] Step 9: Return the query result data.

[0104] In this embodiment, following step 7, the well site database server searches and filters out the corresponding drilling data according to the data query instruction, and returns the drilling data (i.e., the query result data) to the well site smart helmet, and then step 8 can be executed.

[0105] Step 10: Return the query results.

[0106] In this embodiment, after receiving the drilling data returned by the database server, the well site smart helmet can obtain the situation of the drilling operation site in real time through the head surround camera of the well site smart helmet, and display the image information together with the well site data query results on the well site smart helmet display screen, and the well site operators can view the query results through the display screen.

[0107] In summary, the method provided in this embodiment provides a smart helmet equipped with a voice recognition network, so that the user can send a query request to the smart helmet through a voice signal. After detecting the voice signal, the voice recognition network automatically converts it into a data query instruction in text format, and requests the database server for drilling data, which is then displayed through the smart helmet. During the entire process, the user does not need to operate the drilling equipment and the computer at the same time, which reduces the operational complexity of the query process. The user only needs to input a rough voice signal, and the voice recognition network automatically recognizes and obtains accurate data query instructions, which reduces the error probability of the query operation. That is, the present invention is based on a smart helmet with a voice recognition network, which allows the user to obtain drilling data through voice, alleviating the technical problems of the current drilling data query method that requires the user to manually operate the computer, which is inefficient and prone to misoperation.

[0108] Based on the well site data management method in the above embodiment, the present invention has the following innovative effects:

[0109] (1) Data query is more efficient, convenient and real-time: For the traditional data query method, well site operators need to manually input the terminal device to query, which is cumbersome and inefficient. The present invention uses the well site smart helmet and voice recognition technology, so that well site operators can quickly query the required data information through simple voice operation, reducing the time of manual input and the cumbersomeness of operation, and improving the operation efficiency.

[0110] (2) Data query is safer and more reliable: Traditional data query methods are prone to data errors caused by misoperation and human factors. The present invention reduces the risk of misoperation and erroneous data during manual operation by well site operators through voice operation, while increasing the convenience and accuracy of data query.

[0111] (3) Intelligent query improves operation efficiency: The present invention uses voice recognition technology and an intelligent query mechanism to make data query faster and more accurate, so that data changes during drilling operations can be grasped in a timely manner, drilling parameters can be adjusted in a timely manner, and necessary measures can be taken.

[0112] In summary, the present invention has achieved substantial results in improving well site operation efficiency, ensuring well site operation safety, reducing human factors, etc., and has an important role in promoting the intelligence and automation of drilling operations.

[0113] Embodiment 3

[0114] The following are embodiments of the device of the present invention, which can be used to implement the method embodiments of the present invention. For details not disclosed in the device embodiments of the present invention, please refer to the method embodiments of the present invention.

[0115] Further references Figure 4 As an implementation of the above method, the present invention provides some embodiments of a drilling data management device, and these device embodiments are Figure 2 The above method embodiments correspond.

[0116] Figure 4 A schematic diagram of the structure of the drilling data management device provided in the embodiment of the present application, such as Figure 4 As shown, the drilling data management device provided in this embodiment includes:

[0117] The first receiving module 410 is used to receive a user voice signal;

[0118] The recognition module 420 is used to recognize the voice signal through a built-in voice recognition network to obtain a data query instruction in a text format;

[0119] A sending module 430 is used to send the data query instruction to a database server;

[0120] A second receiving module 440 is used to receive the drilling data returned by the database server;

[0121] The display module 450 is used to display the drilling data in a preset drilling data display mode.

[0122] In some implementations, the recognition module 420 is further used to perform text recognition on the voice signal through the voice recognition network to obtain voice text content; obtain location information; and generate the data query instruction based on the location information and the voice text content.

[0123] In some embodiments, the display module 450 is further used to collect image information of the drilling operation site through a camera; fuse the image information with the drilling data to obtain fused data; and display the fused data.

[0124] In some embodiments, the display module 450 is further used to obtain environmental noise data of the well site smart helmet; obtain a noise elimination signal according to the environmental noise data; and play the drilling data in audio form based on the noise elimination signal.

[0125] It is understandable that the modules recorded in the drilling data management device and the reference Figure 2 Therefore, the operations, features and beneficial effects described above for the method are also applicable to the drilling data management device and the modules contained therein, and will not be described in detail here.

[0126] Embodiment 4

[0127] This embodiment provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the drilling data management method described in the above embodiment is implemented. It can be understood that the electronic device may also include an input / output (I / O) interface and a communication component.

[0128] The processor is used to execute all or part of the steps in the drilling data management method in the above embodiment. The memory is used to store various types of data, which may include instructions of any application or method in the terminal device, and data related to the application.

[0129] The processor can be an application specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, and is used to execute the drilling data management method in the above embodiment.

[0130] The memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0131] Embodiment 5

[0132] This embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (for example, an SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a disk, an optical disk, a server, an App application store, etc., wherein a computer program is stored on the storage medium, and when the computer program is executed by a processor, the following method steps can be implemented:

[0133] Receiving user voice signals;

[0134] The voice signal is recognized through a built-in voice recognition network to obtain a data query instruction in a text format;

[0135] Sending the data query instruction to a database server;

[0136] receiving the drilling data returned by the database server;

[0137] The drilling data is displayed in a preset manner.

[0138] The specific implementation process of the above method steps can be found in the above embodiments, and this embodiment will not be repeated here.

[0139] In summary, the embodiment of the present invention provides a method, device, electronic device and storage medium for managing drilling data; the method includes: receiving a user voice signal, recognizing the voice signal through a built-in voice recognition network, obtaining a data query instruction in text format, sending the data query instruction to a database server, receiving the drilling data returned by the database server, and displaying the drilling data through a preset drilling data display method. In the method provided by this scheme, a smart helmet provided with a voice recognition network is provided, so that the user can send a query request to the smart helmet through a voice signal, and the voice recognition network automatically converts the voice signal into a text format data query instruction after detecting the voice signal, and requests the database server for drilling data, and then displays it through the smart helmet. During the whole process, the user does not need to operate the drilling equipment while operating the computer, which reduces the operation complexity of the query process, and the user only needs to input a rough voice signal, and the voice recognition network automatically recognizes and obtains an accurate data query instruction, which reduces the error probability of the query operation, that is, the present invention is based on a smart helmet with a voice recognition network, which can enable the user to obtain drilling data through voice, and alleviates the technical problems of low efficiency and easy misoperation caused by the need for the user to manually operate the computer in the current drilling data query method.

[0140] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0141] Although the implementation methods disclosed in this application are as above, the contents described are only implementation methods adopted for facilitating the understanding of this application, and are not intended to limit this application. Any technician in the technical field to which this application belongs can make any modifications and changes in the form and details of implementation without departing from the spirit and scope disclosed in this application, but the scope of patent protection of this application shall still be based on the scope defined in the attached claims.

Claims

1. A method for managing drilling data, characterized in that: Applied to a well site smart helmet, the method comprises: Receiving user voice signals; The voice signal is recognized through a built-in voice recognition network to obtain a data query instruction in a text format; Sending the data query instruction to a database server; receiving the drilling data returned by the database server; The drilling data is displayed in a preset manner.

2. The method for managing drilling data according to claim 1, characterized in that: The presenting of the drilling data by a preset drilling data presenting method includes: Collect image information of the drilling operation site through cameras; fusing the image information with the drilling data to obtain fused data; The fused data is displayed.

3. The method for managing drilling data according to claim 1, characterized in that: The presenting of the drilling data by a preset drilling data presenting method includes: Acquire environmental noise data of the well site smart helmet; Obtaining a noise cancellation signal according to the environmental noise data; The drilling data is played audibly based on the noise cancellation signal.

4. The method for managing drilling data according to claim 1, characterized in that: The voice signal is recognized through the built-in voice recognition network to obtain a data query instruction in text format, including: Performing text recognition on the voice signal through the voice recognition network to obtain voice text content; Get location information; The data query instruction is generated according to the location information and the voice text content.

5. The method for managing drilling data according to claim 4, characterized in that: The obtaining of location information includes: Obtaining geographic location information fed back by a positioning module in the well site smart helmet; The geographical location information is determined as location information.

6. The method for managing drilling data according to claim 4, characterized in that: The obtaining of location information includes: Obtaining a device identifier of a wireless access device connected to the well site smart helmet; The device identification is determined as the location information.

7. The method for managing drilling data according to any one of claims 1 to 6, characterized in that: Before receiving the user voice signal, the method further includes: Acquire commonly used phonetic words at the well site and audio signals corresponding to the commonly used phonetic words; According to the common speech words and the audio signal, construct a training set and a test set; The network is trained by using the training set and the test set to obtain a trained speech recognition network, which is then updated to the well site smart helmet.

8. A drilling data management device, characterized in that: The device is provided in a well site smart helmet, and includes: A first receiving module, used for receiving a user voice signal; A recognition module, used to recognize the voice signal through a built-in voice recognition network to obtain a data query instruction in a text format; A sending module, used for sending the data query instruction to a database server; A second receiving module, used for receiving the drilling data returned by the database server; The display module is used to display the drilling data in a preset drilling data display mode.

9. An electronic device, characterized in that: The method comprises a memory and a processor; a computer program is stored in the memory, and when the computer program is executed by the processor, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by one or more processors, the method according to any one of claims 1 to 7 is implemented.

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