CN117291222B - Downhole drill rod counting method, monitoring equipment and storage medium - Google Patents
Downhole drill rod counting method, monitoring equipment and storage medium Download PDFInfo
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Abstract
A method for counting underground drill rods, monitoring equipment and a storage medium relate to the field of intelligent coal mine construction, and the method comprises the following steps: collecting sound audio frequency of a drilling machine during operation; extracting operation sound in sound audio, and setting a corresponding sound template; matching the visually recognized action template with the voice template, and determining a plurality of operation stages corresponding to a plurality of voice templates; training based on sound data of a plurality of working stages to obtain a sound drill rod counting model; when the visual counting mode fails, determining the current drilling machine working stage; and based on the current drilling machine working stage, using a sound drill rod counting model to count drill rods. By implementing the method, regular sounds are collected and analyzed through the sound auxiliary counting, the current drill rod counting is directly carried out, and when the field of view of monitoring equipment using the visual counting is lost, an important backup counting mode can be provided, so that the normal operation of gas drainage work is ensured.
Description
Technical Field
The application relates to the field of intelligent coal mine construction, in particular to an underground drill rod counting method, monitoring equipment and a storage medium.
Background
Coal bed gas is a general term for combustible gases such as methane released in the coal bed mining process, and if the gas concentration is too high, accidents such as explosion and the like can be caused, so that mine safety production is seriously endangered. To reduce the downhole gas concentration, a drill is typically required for gas drainage.
The drilling machine drives the percussion bit into the coal seam mainly through rotating the drill rod, and then gas drainage is carried out through drilling. The drill pipe is a hollow metal pipe, and the length is generally 1 to 1.5 meters. The drill rods of the drilling machine are advanced one by one, and the drilling depth depends on the number of drill rods. During working, the drill rods need to be counted, the drilling depth of the drilling machine can be obtained through direct calculation of the number of the drill rods, and the planning of drilling work by workers is facilitated.
In the counting method of underground drill rods in the related art, a fixed camera is mainly used for collecting drilling machine operation videos, the operation of the drilling machine is judged through an image tracking and identifying algorithm, and the number of the drill rods is counted according to the motion tracking of the drill rods.
However, the automatic counting method based on visual tracking in the related art has a plurality of limitations, if the obstacle blocks the monitoring view of the camera, or the illumination fails, and the monitoring equipment has problems, so that the view is lost, the monitoring equipment cannot continue to count the drill rods, and normal operation is affected.
Disclosure of Invention
The application provides a downhole drill rod counting method, monitoring equipment and storage medium, which are used for directly determining the current drill rod service condition and counting by collecting and analyzing regular sound through sound auxiliary counting. When the visual counting method is influenced by environmental factors such as obstruction, illumination faults and the like, the method can be started as an auxiliary means, so that the accuracy and the continuity of counting the drill rods are ensured. Meanwhile, the method can provide an important backup counting mode when the monitoring equipment has problems, such as field loss, so as to ensure the normal operation of gas drainage. In addition, the method utilizes the characteristics of sound signals, can realize effective drill rod counting without additional hardware equipment, and reduces the complexity and cost of the system.
In a first aspect, the present application provides a downhole drill rod counting method, for use in a monitoring device, the method comprising: collecting sound audio frequency of a drilling machine during operation; extracting operation sound in sound audio, and setting a corresponding sound template; matching the visually recognized action template with the voice template, and determining a plurality of operation stages corresponding to a plurality of voice templates; training based on sound data of a plurality of working stages to obtain a sound drill rod counting model; when the visual counting mode fails, determining the current drilling machine working stage; and based on the current drilling machine working stage, using a sound drill rod counting model to count drill rods.
In the above embodiment, the monitoring device determines a plurality of working stages of the drilling machine by collecting the working sound of the drilling machine and establishing a corresponding sound template, matching the visual action template with the sound template. And furthermore, a sound drill rod counting model is trained based on sound in the operation stage, so that the function of judging the number of drill rods by sound when the visual mode fails is realized. The regularity of operation sound is fully utilized, an effective sound backup counting means is provided when vision fails, the continuity of drill rod counting is ensured, monitoring interruption caused by monitoring equipment faults is avoided, and normal operation of extraction operation is ensured.
With reference to some embodiments of the first aspect, in some embodiments, extracting a working sound in a sound audio and setting a corresponding sound template specifically includes: setting low-pass, high-pass and band-stop filters to filter sound audio frequency and extracting operation sound in a preset frequency range; and counting the audio frequency spectrum characteristics of the operation sound after filtering, and determining the operation sound with the repetition times exceeding a specified threshold as a sound template.
In the above embodiment, the monitoring device may accurately obtain the characteristic spectrum in the working sound by setting a plurality of sound filters to filter and extract the original sound. And judging the effectiveness of the sound mode according to the repetition times, and screening out a representative operation sound template. The template extraction mode can filter interference noise, obtain regular operation sound characteristics and provide reliable sound template input for subsequent sound recognition and counting.
With reference to some embodiments of the first aspect, in some embodiments, matching the visually identified action template with the voice template, and determining a plurality of job phases corresponding to the plurality of voice templates specifically includes: dividing the drilling machine operation into a plurality of operation stages based on the visually recognized action templates; when in a plurality of operation stages, a plurality of corresponding sound templates are introduced for matching; based on the matching result, a plurality of working phases corresponding to the plurality of sound templates are determined.
In the above embodiment, the monitoring device takes the operation stage of visual action pattern recognition as a basis, and introduces a corresponding sound pattern for matching, thereby realizing audiovisual joint recognition of a plurality of operation stages. The visual mode divides the operation stage, and then the sound mode verification is introduced, so that the misjudgment risk during the independent recognition of the sound mode can be avoided, and the judgment accuracy of the operation stage is improved. An accurate job phase input is provided for the subsequent enablement of the sound count mode.
With reference to some embodiments of the first aspect, in some embodiments, after the step of determining the current rig operation stage when the visual count mode fails, the method further comprises: sending prompt information to the user interface for prompting that the user equipment is switched to a sound counting mode; recording the time point when the fault of the visual counting mode occurs as the starting time of the sound counting mode; and counting the accumulated drill rod number of each operation stage before and after the fault, and determining the total drill rod number during the fault.
In the embodiment, the monitoring device sends the prompt message to the user interface, so that the user can be reminded of the failure of visual counting in real time, and the device is switched to the sound counting mode, so that the user is prevented from misjudging the state of the device. And simultaneously, the time point of occurrence of the fault is recorded and used as the starting time of sound counting, and the accumulated drill rod number of the visual counting before the fault is counted, so that the connection of the visual counting and the sound counting can be ensured, jump or missing of the counting is avoided, and the counting continuity and accuracy are ensured.
With reference to some embodiments of the first aspect, in some embodiments, after the step of sending the prompt message to the user interface, the method further includes: based on feedback information of field staff, determining a fault reason of the fault of the visual counting mode; and sending the fault reasons to a user interface for prompting a user to process in time.
In the embodiment, the monitoring device positions the visual counting fault reasons according to the field feedback, so that a user can be helped to quickly check the problems, and the device maintenance and the fault elimination can be performed in a targeted manner. The user is prompted to deal with faults in time, the system outage time can be shortened, and continuous extraction operation is guaranteed to the greatest extent.
With reference to some embodiments of the first aspect, in some embodiments, after the step of counting drill rods using the acoustic drill rod counting model based on the current drill working phase, the method further comprises: continuously detecting whether the vision counting mode is normal; after the visual counting mode is recovered to be normal, the accuracy of the sound counting mode is checked by using the audiovisual fusion result.
In the above embodiment, after the monitoring device resumes the visual counting mode, the audio-visual fusion result is adopted to verify the audio counting, so that the accuracy of the audio counting in the period of visual failure can be detected, if the audio counting has errors, the audio counting model can be optimized and updated in time, closed loop iteration is realized, and the accuracy and reliability of the audio counting are continuously improved.
With reference to some embodiments of the first aspect, in some embodiments, after the step of counting drill rods using the acoustic drill rod counting model based on the current drill working phase, the method further comprises: monitoring staff voices of site staff in a drilling machine working environment; when the help seeking keywords appear in the voice of the staff, help seeking information is sent to the rescue center.
In the embodiment, the monitoring equipment monitors and analyzes the voice information of the on-site staff, and once the help-seeking keywords in the voice are detected, the information can be forwarded to the rescue center at the first time, so that the accident response time is greatly shortened, and the life safety of the underground staff is ensured. Meanwhile, other information in the voice can be analyzed to evaluate whether the underground environment is abnormal or not.
In a second aspect, embodiments of the present application provide a monitoring device, including: the acquisition module is used for acquiring sound audio frequency during drilling operation; the extraction module is used for extracting the operation sound in the sound audio and setting a corresponding sound template; the matching module is used for matching the visually identified action template with the voice template and determining a plurality of operation stages corresponding to the voice templates; the model module is used for training based on sound data of a plurality of working stages to obtain a sound drill rod counting model; the fault module is used for determining the current drilling machine working stage when the visual counting mode fails; and the switching module is used for counting drill rods by using the sound drill rod counting model based on the current drilling machine working stage.
In a third aspect, embodiments of the present application provide a monitoring device, including: one or more processors and memory; the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors call for causing the monitoring device to perform the method as described in the first aspect and any possible implementation of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a monitoring device, cause the monitoring device to perform a method as described in the first aspect and any possible implementation of the first aspect.
In a fifth aspect, embodiments of the present application provide a computer-readable storage medium comprising instructions that, when executed on a monitoring device, cause the monitoring device to perform a method as described in the first aspect and any possible implementation of the first aspect.
It will be appreciated that the monitoring device provided in the second aspect, the third aspect, the computer program product provided in the fourth aspect and the computer storage medium provided in the fifth aspect are each configured to perform the method provided by the embodiments of the present application. Therefore, the advantages achieved by the method can be referred to as the advantages of the corresponding method, and will not be described herein.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. due to the fact that the voice auxiliary counting technology is adopted, the drill rod counting is carried out by utilizing voice when the visual mode fails, when the visual counting is affected by environmental factors and cannot work normally, the automatic switching can be carried out to a voice counting mode, the number of the drill rods is judged by using the voice drill rod counting model, monitoring and counting interruption caused by the visual mode failure of monitoring equipment are avoided, and the continuity of the drill rod counting is guaranteed. The technical defect that the existing visual counting is easy to influence by the environment is effectively overcome, high reliability of counting the drill rods in a complex environment is realized, and continuous and effective extraction operation is ensured.
2. Because the method adopts the mode of voice spectrum analysis and matching to extract the representative voice mode and combines the voice mode with the visual mode to identify the operation stage of the drilling machine, the method can filter the environmental noise and combine the visual result to improve the identification accuracy, overcomes the misjudgment risk of single identification of the voice mode and greatly improves the multi-stage identification and voice counting effect under the complex environment. The method effectively solves the defect that the voice recognition is inaccurate due to the sensitivity of the prior art to the environment, realizes the accurate extraction and recognition of the voice features in different operation stages, and ensures the high precision of the voice counting performance.
3. Because the closed loop iterative optimization mode is adopted, the audio-visual fusion result is used for checking and optimizing the sound count after the visual mode is recovered, and the on-site voice information is monitored, the sound count can be continuously corrected, the accident voice help is responded in time, the sound count performance is continuously improved, and the robustness and the reliability of the system are greatly enhanced. The method effectively solves the limitation that the prior art cannot optimize the sound counting, realizes the closed-loop lifting of the sound counting, ensures the safety of field operators, and ensures that the extraction operation in the complex environment is safer and more efficient.
Drawings
FIG. 1 is a schematic flow chart of a method of counting drill rods downhole according to an embodiment of the present application;
FIG. 2 is another flow diagram of a method of downhole drill rod counting in an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a functional module of the monitoring device according to the embodiment of the present application;
fig. 4 is a schematic structural diagram of a physical device of the monitoring apparatus according to the embodiment of the present application.
Detailed Description
The terminology used in the following embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature, and in the description of embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
For easy understanding, the application scenario of the embodiments of the present application is described below.
Some coal companies are striving to improve the efficiency of coalbed methane drilling. The drilling machine needs to continuously drill into underground coal seams, and the underground environment is complex and has gas, coal flyrock and the like. In order to grasp the drilling distance, real-time statistics on the number of drill rods drilled are required. But the light in the pit is dim, the drilling machine can not be fixed, and the measurement number is neither accurate nor effective only by workers. This requires a monitoring system that can accurately and automatically count.
In the related art, the motion tracking and the quantity statistics of the drill rod can be realized by adopting a mode of visual image recognition of a fixed camera. A scenario using the downhole drill rod counting method of the related art is described below.
A mining company installs a camera underground to continuously shoot the drilling machine operation process. Through the designed image recognition algorithm, the movement direction and the rotation speed of the drilling machine can be analyzed, whether the drill bit rotates or not is judged, and the movement track of the drill rod is tracked. The system can basically automatically count the number of drill rods inserted by the drilling machine at ordinary times. However, the underground light is darker, and sometimes the drilling machine is also shielded by other equipment, so that image identification fails, and counting errors are caused. In the last 5 months, the system calculates the drilling depth inaccurately because the view of the camera is blocked, and causes accidents because of the out-of-range operation of the drilling machine.
The visual counting mode is limited, when the shielding object blocks the visual field of the camera, or the illumination light fails, the image identification fails, so that the monitoring equipment cannot continue counting drill rods, the counting is interrupted, and the planning of subsequent operation is affected. But also failure of the monitoring device, once it fails, can result in failure of the visual count.
By adopting the underground drill rod counting method in the embodiment of the application, the corresponding relation between the sound characteristics and the drill rod counting is established by analyzing the sound signals of the drilling machine operation, and the method can be automatically switched to the sound counting mode to continue counting the number of the drill rods when the visual counting fails. Therefore, even when the visual counting fails due to environmental change, the number of the drill rods can be effectively judged through the sound counting, and the continuity of counting and the normal operation of extraction operation are ensured. A scenario using the downhole drill rod counting method of the present application is described below.
Aiming at the problem that the visual mode is easy to fail, the mining company is newly provided with an audio acquisition device. During normal vision counting, the sound of the drilling machine is synchronously recorded. When the image recognition fails, the system automatically switches to a voice recognition mode, analyzes the audio frequency characteristics, extracts voice templates at different operation stages, matches the voice templates with the characteristic modes in a template library, and judges the current operation state. And by combining the state duration time parameters, the number of drill rods can still be accurately calculated. Thus, the problem of visual dead angles is solved, and the continuity of underground counting is ensured.
Therefore, by adopting the voice auxiliary counting technology in the embodiment of the application, the defect that the visual mode is easily affected by the environment can be effectively solved while the counting of the drill rod number is realized, and the effect that the counting of the drill rod can still be continued under the condition of visual failure is realized.
For ease of understanding, the method provided in this embodiment is described in the following in conjunction with the above scenario. Referring to fig. 1, a flow chart of a downhole drill rod counting method according to an embodiment of the present application is shown.
S101, collecting sound audio frequency during drilling operation.
The monitoring device is disposed near the downhole drilling rig device, and the device is provided with a plurality of microphones for collecting sound information generated during operation. The microphones are connected with an audio acquisition module of the monitoring equipment, and are used for sampling the whole sound scene operated by the drilling machine to obtain the original audio data with the stereo effect. The multipoint sound collection mode can collect sound frequency characteristics transmitted in each stage of equipment operation to the maximum extent.
S102, extracting operation sound in the sound audio and setting a corresponding sound template.
The monitoring equipment inputs the collected original audio into a sound extraction module for processing, the module extracts frequency segments with prominent intensity and repeated occurrence as effective operation sounds, establishes the effective operation sounds as standard audio templates, and stores the standard audio templates into a sound template library of the equipment to be used as matching samples in the subsequent sound recognition. The template mode for extracting the operation sound can effectively distinguish sound characteristics of different operation processes, and is convenient for the subsequent mode identification of sound counting.
S103, matching the visually recognized action templates with the voice templates, and determining a plurality of operation stages corresponding to the voice templates.
The vision module in the monitoring equipment continuously captures the motion states of the equipment and the drill rod in the drilling machine operation process, acquires the operation track of the equipment and divides the operation process into a plurality of action phase templates such as connection, rotation, retraction and the like. And the matching module of the monitoring equipment associates the visual action phases with the sound templates, analyzes the audio characteristics corresponding to each action phase, and accordingly establishes the corresponding relation between the visual action modes and the sound modes, and prepares a matching sample for the sound recognition of the subsequent basic state.
S104, training based on sound data of a plurality of working stages to obtain a sound drill rod counting model.
The monitoring equipment adopts a deep learning algorithm, inputs the matching relation between the operation state obtained in the last step and the sound model, carries out training of an acoustic characteristic model, obtains equipment states corresponding to different sounds, and establishes a model in relation with the relative time of each state, for example, a sound mode A corresponds to 1 drill rod connection for 5 seconds, a sound mode B corresponds to 2 circles of rotation phases for 3 seconds, and the like.
Through extensive data training, the monitoring device gets a model algorithm that maps from acoustic time patterns to drill pipe counts. The model fully learns the internal relation between different working sounds and drill rod counting, and is convenient for counting calculation by only sound in the follow-up process.
And S105, when the visual counting mode fails, determining the current working stage of the drilling machine.
And when the monitoring equipment detects that the vision counting module fails, the monitoring equipment is automatically switched into a sound mode. The equipment uses an acoustic feature extraction algorithm to carry out frequency analysis on underground operation audio acquired in real time, sequentially matches different acoustic templates, judges the template with highest similarity, and can determine whether the operation state most likely corresponding to the current drilling machine belongs to a connecting, rotating or retracting stage or not. This state recognition provides a model input basis for subsequent drill rod counting by sound only.
And S106, based on the current drilling machine working stage, counting drill rods by using a sound drill rod counting model.
After the current drilling machine operation stage is obtained, the monitoring equipment is combined with the sound counting model obtained by the previous training, and the change of the number of drill rods is calculated according to the sound duration time of the corresponding stage.
For example, a connection state is identified, the connection sound lasts for 8 seconds, which means that 2 drill rods are connected, according to the time-quantity model of the connection phase. The monitoring equipment counts the sound time change in real time, continuously accumulates and calculates the number of drill rods according to the acoustic model, and completes the counting of the drill rods only depending on sound so as to guide the subsequent operation.
In the above embodiment, aiming at the problem of visual counting failure caused by complex environment, the drill rod counting is performed by using the sound signal as an auxiliary means, so that the continuous proceeding of the counting can be ensured. In practical applications, the situation that the visual counting is interrupted due to the complex environment occurs, and the sound counting can play an important role. When the visual counting fails, the current operation stage of the drilling machine is determined through voice recognition, and the voice counting model of the corresponding stage is used for counting the number of drill rods, so that interruption of monitoring and counting is avoided, and continuous operation of subsequent operations is effectively ensured.
The following continues to supplement the scenario of the present embodiment.
After a period of use, the drill model is updated. The operation and maintenance personnel of the mining company collect audio samples of a new model and manually count the corresponding real drill rod number. After the data are imported into the system, a closed-loop voice recognition optimization algorithm is started, and counting parameters corresponding to the new voice mode are automatically adjusted. After several closed loop iterative optimizations, the new sound counting model is already adapted to the new model, and the recognition effect is ensured. The system can be directly used by the mining company, drilling machines of different types can be quickly adapted, and the working efficiency is greatly improved.
In combination with the above scenario, a further more specific flow of the method provided in this embodiment will be described below. Referring to fig. 2, another flow chart of the method for counting drill rods in the downhole according to the embodiment of the application is shown.
S201, collecting sound audio frequency during drilling operation.
Referring to step S101, a monitoring device is disposed near a downhole drilling apparatus, the device being provided with a plurality of microphones for collecting sound information generated during operation.
S202, extracting operation sound in the sound audio and setting a corresponding sound template.
Referring to step S102, the monitoring apparatus extracts frequency bands which are prominent in intensity and repeatedly appear as effective working sounds, and establishes an audio template as a standard as a matching sample at the time of subsequent sound recognition.
In some embodiments, the extracting step specifically comprises: setting low-pass, high-pass and band-stop filters to filter sound audio frequency and extracting operation sound in a preset frequency range; and counting the audio frequency spectrum characteristics of the operation sound after filtering, and determining the operation sound with the repetition times exceeding a specified threshold as a sound template.
Specifically, the monitoring device sets filters with various different parameters, filters the original audio, the low-pass filter only keeps a low-frequency part, the high-pass filter only keeps a high-frequency part, and the band-stop filter suppresses in a specific frequency range.
After composite filtering, the operation sound in the target frequency range can be extracted. The monitoring device further analyzes the filtered audio spectrum structure and extracts spectrum features. And counting the frequency spectrum characteristics, determining an audio mode with the occurrence times exceeding a specified threshold value as an effective operation sound template, and storing the audio mode into a template library as a reference sample of subsequent sound recognition.
S203, matching the visually recognized action templates with the voice templates, and determining a plurality of operation stages corresponding to the voice templates.
Referring to step S103, the vision module in the monitoring device continuously captures the motion states of the device and the drill pipe at each stage, acquires the motion track of the device and divides the operation process into a plurality of motion stage templates.
In some embodiments, the matching step specifically includes: dividing the drilling machine operation into a plurality of operation stages based on the visually recognized action templates; when in a plurality of operation stages, a plurality of corresponding sound templates are introduced for matching; based on the matching result, a plurality of working phases corresponding to the plurality of sound templates are determined.
Specifically, the monitoring device uses an image recognition technology to analyze the motion law of the drilling machine device, and divides the whole drilling process into a plurality of action stages of connection, rotation and recovery. When audio and video matching is performed, the monitoring device introduces an audio template acquired by a corresponding stage for each action stage, for example, an audio mode A of a connection stage, an audio mode B of a rotation stage and the like, and performs pattern matching with audio data. Finally, the template A is matched in the connection stage, the template B is matched in the rotation stage, so that the correspondence between the visual action stage and the sound mode stage is completed, and the accurate division of the drilling machine behavior stage by means of sound data is facilitated.
S204, training is conducted based on sound data of a plurality of working stages, and a sound drill rod counting model is obtained.
Referring to step S104, the monitoring device performs training of the acoustic feature model based on the matching relationship between the operation state obtained in the previous step and the acoustic model, and obtains a sound drill rod counting model.
S205, when the visual counting mode fails, determining the current working stage of the drilling machine.
Referring to step S105, when the monitoring device detects that the vision counting module is disabled, it automatically switches to the sound mode. And the equipment judges the template with the highest similarity, and can determine the corresponding operation state of the current drilling machine.
In some embodiments, the monitoring device is further capable of: monitoring staff voices of site staff in a drilling machine working environment; when the help seeking keywords appear in the voice of the staff, help seeking information is sent to the rescue center.
Specifically, the monitoring equipment is provided with a voice monitoring module, so that voice information of operators around the equipment can be collected in real time. The system carries out voice recognition on the collected voice, and when the voice information is detected to contain keywords such as 'life saving', 'ignition', and the like, the monitoring equipment can judge that a distress event occurs. At this time, the monitoring equipment can immediately send help seeking information to the rescue command center on the shore, and the content comprises a well number, a downhole depth, help seeking voice texts and the like, so that the rescue command center can dispatch rescue teams for the first time.
S206, sending prompt information to the user interface to prompt the user equipment to switch to the voice counting mode.
When the monitoring device detects that the vision module cannot work normally, the voice counting standby scheme is started immediately. Meanwhile, the prompt module of the monitoring device can push a message to the user interface to inform the user that the visual counting module is detected to be faulty, and the device is automatically switched to the sound counting mode. The method can enable the user of the control end to know the change of the equipment state in time, and avoid continuous dependence on the invalid visual counting result. The prompt module can push the time of fault occurrence at the same time, so that the time continuity of visual counting and sound counting can be conveniently compared. In addition, the prompt module can display the counting state, so that a user can check whether the sound counting mode is in normal operation at any time. It should be noted that, after the voice counting standby scheme is started, the monitoring device will start two tasks in parallel, one of which is a work recording task, namely, the following steps S207 and S208, to count drill rods; and secondly, recovering the processing task, namely, the subsequent S209 and S210 steps, monitoring the recovery state of the counting mode, and carrying out subsequent verification. The two tasks are parallel tasks and are performed simultaneously.
In some embodiments, transmitting the information further comprises: based on feedback information of field staff, determining a fault reason of the fault of the visual counting mode; and sending the fault reasons to a user interface for prompting a user to process in time.
Specifically, when the monitoring equipment has visual counting faults, on-site operators can be immediately prompted to request feedback on the running condition of the equipment. The staff can describe the environment, whether the visibility is reduced due to the existence of dense smoke, whether the object shields the camera and other information.
The monitoring device collects these feedback descriptions, and in combination with the monitoring information before the fault, determines the most likely cause of the fault, such as damage to the lighting device or obstruction of the camera by the obstruction. And prompting the deduced fault reasons to a remote user interface to remind a user of the need of checking and processing equipment in a targeted manner, and solving the visual monitoring faults as soon as possible.
S207, a time point when the failure of the visual count mode occurs is recorded as a start time of the sound count mode.
The timing module in the monitoring equipment can accurately record the time point of the visual count failure as the starting moment of the sound count. Meanwhile, the vision count accumulated number before the fault is obtained by combining the statistics module, so that the time continuity and the number connection between the vision count and the sound count are ensured, and the occurrence of statistics faults is avoided. The accurate fault occurrence time recorded by the timing module is also beneficial to the subsequent analysis of the problem reasons, and the environmental change causing the visual fault, such as the time of shielding, is judged.
S208, counting the accumulated drill rod number of each operation stage before and after the fault, and determining the total drill rod number during the fault.
The statistics module of the monitoring equipment collects the last statistics number of the vision counting module before the fault and adds the last statistics number with the accumulated number of all the stages before the fault, so that the accurate total drill rod number when the vision counting is stopped can be obtained.
And the statistics module can record the number of drill rods with increased sound counts in each operation stage after faults. Through statistics and summarization to the number of drilling rods before and after the fault, the monitoring equipment can ensure that the counting of the drilling rods is not notched and continuous in number when the monitoring mode is switched, and accurate drilling parameters are provided for subsequent operation.
S209, continuously detecting whether the vision counting mode is normal.
After the voice counting mode is started, the monitoring equipment can continuously detect the working state of the vision module so as to judge whether the vision counting is recovered to be normal or not. The monitoring module can attempt to start the visual counting component at regular intervals to analyze whether the image identification is successful or not.
Once the visual count is monitored to work normally again, namely the visual field is recovered, the action of the drilling machine can be tracked again, the monitoring equipment synchronizes the state change to the user interface, and the user knows that the visual count mode can be switched back again.
And S210, after the visual counting mode is recovered to be normal, checking the accuracy of the sound counting mode by using the audio-visual fusion result.
After the monitoring device detects that the vision mode is restored, the vision counting and the sound counting are started simultaneously to work for a period of time. The verification module can collect data results of the two modes, and compares the difference between the number of visual counts and the number of sound counts.
If the discrepancy is within the acceptable range, the signature sound count module operates normally during the visual fault. If the difference is too large, feeding back to the sound counting model optimizing module, correcting the sound model by using the accurate result of the visual counting, and improving the accuracy of the next round of sound counting.
In this application embodiment, owing to adopted the supplementary count technique of sound, realized utilizing sound to carry out the drilling rod count when the visual mode became invalid, so when visual count received the unable normal work of environmental factor influence, can automatic switch over to the sound count mode, use the sound drilling rod count model to judge drilling rod quantity, avoided monitoring and the count interruption because of monitoring facilities visual mode trouble leads to, guaranteed drilling rod count's persistence. The technical defect that the existing visual counting is easy to influence by the environment is effectively overcome, high reliability of counting the drill rods in a complex environment is realized, and continuous and effective extraction operation is ensured.
In addition, the method also adopts a closed loop iterative optimization mode, and the audio-visual fusion result is used for checking and optimizing the sound count after the visual mode is recovered, so that the sound count can be continuously corrected, the sound count performance is continuously improved, and the robustness and the reliability of the system are greatly enhanced. The method effectively solves the limitation that the prior art cannot optimize the sound counting, realizes the closed loop lifting of the sound counting, and ensures that the extraction operation in the complex environment is safer and more efficient.
In a word, the problems that visual counting is easily affected by environment and cannot be subjected to iterative optimization are solved through the voice auxiliary counting and closed loop optimization, high reliability, persistence and accuracy of counting of drill rods in a complex environment are achieved, and safety and efficiency of underground extraction operation are greatly improved.
The monitoring device in the embodiment of the present application is described below from the viewpoint of a module. Fig. 3 is a schematic structural diagram of a functional module of the monitoring device according to the embodiment of the present application.
The monitoring device includes:
the acquisition module 301 is used for acquiring sound audio frequency during drilling operation;
the extracting module 302 is configured to extract a working sound in the sound audio and set a corresponding sound template;
The matching module 303 is configured to match the visually identified action template with the voice template, and determine a plurality of operation phases corresponding to the plurality of voice templates;
the model module 304 is configured to perform training based on sound data of a plurality of working stages to obtain a sound drill rod counting model;
a fault module 305 for determining a current rig operation phase when the visual count mode fails;
and a switching module 306 for counting drill rods using the acoustic drill rod counting model based on the current drilling rig operating stage.
In some embodiments, the extraction module 302 specifically includes:
a sound filtering unit 3021, configured to set a low-pass, high-pass, and band-stop filter to filter sound audio, and extract working sound in a preset frequency range;
the feature determination unit 3022 is configured to count audio spectrum features of the post-filter job sound, and determine a job sound whose repetition number exceeds a specified threshold as a sound template.
In some embodiments, the matching module 303 specifically includes:
a stage division unit 3031, configured to divide the drilling machine operation into a plurality of operation stages based on the motion template of visual recognition;
a voice matching unit 3032, configured to introduce a plurality of corresponding voice templates for matching during a plurality of operation phases;
The result determining unit 3033 is configured to determine a plurality of job phases corresponding to the plurality of voice templates based on the matching result.
In some embodiments, the monitoring device further comprises:
a prompting module 307, configured to send a prompting message to the user interface, for prompting that the user equipment has been switched to the voice counting mode;
a timing module 308, configured to record a time point when the fault of the visual counting mode occurs as a start time of the sound counting mode;
and the statistics module 309 is used for counting the accumulated drill rod number of each operation stage before and after the fault and determining the total drill rod number during the fault.
In some embodiments, the monitoring device further comprises:
the tracing module 310 is configured to determine a failure cause of the failure in the visual counting mode based on feedback information of the field staff;
the prompt module 307 is further configured to send the failure cause to the user interface, so as to prompt the user to process in time.
In some embodiments, the monitoring device further comprises:
the monitoring module 311 is configured to continuously detect whether the vision counting mode is restored to normal;
and the verification module 312 is configured to verify the accuracy of the sound counting mode by using the audio-visual fusion result after the visual counting mode is restored to be normal.
In some embodiments, the monitoring device further comprises:
a monitoring module 313 for monitoring the staff voice of the field staff in the working environment of the drilling machine;
the help calling module 314 is used for sending help calling information to the rescue center when the help calling keywords appear in the voice of the staff.
The monitoring device in the embodiment of the present application is described above from the point of view of the modularized functional entity, and the monitoring device in the embodiment of the present application is described below from the point of view of hardware processing, please refer to fig. 4, which is a schematic structural diagram of an entity device of the monitoring device in the embodiment of the present application.
It should be noted that the structure of the monitoring device shown in fig. 4 is only an example, and should not limit the functions and the application scope of the embodiments of the present invention.
As shown in fig. 4, the monitoring apparatus includes a central processing unit (Central Processing Unit, CPU) 401 which can perform various appropriate actions and processes, such as performing the method described in the above embodiment, according to a program stored in a Read-Only Memory (ROM) 402 or a program loaded from a storage section 408 into a random access Memory (Random Access Memory, RAM) 403. In the RAM 403, various programs and data required for the system operation are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An Input/Output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including an audio input device, a camera, and the like; an output portion 407 including a liquid crystal display (Liquid Crystal Display, LCD), an audio output device, an indicator lamp, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present invention, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. When executed by a Central Processing Unit (CPU) 401, the computer program performs various functions defined in the present invention.
It should be noted that, the computer readable medium shown in the embodiments of the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Specifically, the monitoring device of the present embodiment includes a processor and a memory, where the memory stores a computer program, and when the computer program is executed by the processor, the method for counting drill rods in the well provided by the foregoing embodiment is implemented.
As another aspect, the present invention also provides a computer-readable storage medium, which may be contained in the monitoring device described in the above embodiment; or may be present alone without being fitted into the monitoring device. The storage medium carries one or more computer programs which, when executed by a processor of the monitoring device, cause the monitoring device to implement the downhole drill rod counting method provided in the above embodiments.
The above embodiments are merely for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present application.
As used in the above embodiments, the term "when …" may be interpreted to mean "if …" or "after …" or "in response to determination …" or "in response to detection …" depending on the context. Similarly, the phrase "at the time of determination …" or "if detected (a stated condition or event)" may be interpreted to mean "if determined …" or "in response to determination …" or "at the time of detection (a stated condition or event)" or "in response to detection (a stated condition or event)" depending on the context.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, from a website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk), etc.
Those of ordinary skill in the art will appreciate that implementing all or part of the above-described method embodiments may be accomplished by a computer program to instruct related hardware, the program may be stored in a computer readable storage medium, and the program may include the above-described method embodiments when executed. And the aforementioned storage medium includes: ROM or random access memory RAM, magnetic or optical disk, etc.
Claims (10)
1. A downhole drill rod counting method applied to monitoring equipment, the method comprising:
collecting sound audio frequency of a drilling machine during operation;
extracting operation sound in the sound audio and setting a corresponding sound template;
matching the visually recognized action template with the voice template, and determining a plurality of operation stages corresponding to a plurality of voice templates;
training based on the sound data of the plurality of working stages to obtain a sound drill rod counting model;
when the visual counting mode fails, determining the current drilling machine working stage;
and based on the current drilling machine working stage, counting drill rods by using the sound drill rod counting model.
2. The method according to claim 1, wherein the extracting the working sound in the sound audio and setting the corresponding sound template specifically comprises:
Setting low-pass, high-pass and band-stop filters to filter the sound audio frequency and extracting operation sound in a preset frequency range;
and counting the audio frequency spectrum characteristics of the operation sound after filtering, and determining the operation sound with the repetition times exceeding a specified threshold as a sound template.
3. The method according to claim 1, wherein the matching the visually recognized action template with the sound template determines a plurality of working phases corresponding to a plurality of sound templates, specifically comprising:
dividing the drilling machine operation into a plurality of operation stages based on the visually recognized action templates;
when in a plurality of operation stages, a plurality of corresponding sound templates are introduced for matching;
based on the matching result, a plurality of working phases corresponding to the plurality of sound templates are determined.
4. The method of claim 1, wherein after the step of determining a current rig operation stage upon failure in the visual count mode, the method further comprises:
sending prompt information to the user interface for prompting that the user equipment is switched to a sound counting mode;
recording the time point when the fault of the visual counting mode occurs as the starting time of the sound counting mode;
And counting the accumulated drill rod number of each operation stage before and after the fault, and determining the total drill rod number during the fault.
5. The method of claim 4, wherein after the step of sending a prompt to the user interface, the method further comprises:
based on feedback information of field staff, determining a fault reason of the fault of the visual counting mode;
and sending the fault reasons to a user interface for prompting a user to process in time.
6. The method of claim 1, wherein after the step of counting drill rods using the acoustic drill rod counting model based on the current rig operation stage, the method further comprises:
continuously detecting whether the vision counting mode is normal;
after the visual counting mode is recovered to be normal, the accuracy of the sound counting mode is checked by using the audiovisual fusion result.
7. The method of claim 1, wherein after the step of counting drill rods using the acoustic drill rod counting model based on the current rig operation stage, the method further comprises:
monitoring staff voices of site staff in a drilling machine working environment;
And when the help seeking keywords appear in the voice of the staff, sending help seeking information to a rescue center.
8. A monitoring device, comprising:
the acquisition module is used for acquiring sound audio frequency during drilling operation;
the extraction module is used for extracting the operation sound in the sound audio and setting a corresponding sound template;
the matching module is used for matching the visually identified action template with the voice template and determining a plurality of operation stages corresponding to a plurality of voice templates;
the model module is used for training based on the sound data of the plurality of working stages to obtain a sound drill rod counting model;
the fault module is used for determining the current drilling machine working stage when the visual counting mode fails;
and the switching module is used for counting drill rods by using the sound drill rod counting model based on the current drilling machine working stage.
9. A monitoring device, comprising: one or more processors and memory;
the memory is coupled to the one or more processors, the memory for storing computer program code comprising computer instructions that the one or more processors invoke to cause the monitoring device to perform the method of any of claims 1-7.
10. A computer readable storage medium comprising instructions which, when run on a monitoring device, cause the monitoring device to perform the method of any of claims 1-7.
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