Drilling rig chain break protection method and device

Abstract

The present application provides a drilling rig chain break protection method and device, wherein the drilling rig chain break protection method includes: collecting the target drilling rig's sheave status data in real time according to a preset sensor; determining the sheave speed data according to a preset speed algorithm based on the sheave status data; generating a shutdown command and an early warning command when the sheave speed data meets the preset chain break condition; in response to the shutdown command, the target drilling rig stops running, and in response to the early warning command, a preset early warning device issues a chain break warning. This avoids safety accidents caused by the breakage of the hoisting chain of the drilling rig, and notifies the hoisting chain breakage through the early warning device, reminding relevant personnel to inspect and repair the hoisting chain, which is conducive to the construction of intelligent mines and the realization of unmanned equipment operation.

Description

Technical Field

[0001] The present application relates to the technical field of equipment fault detection, and in particular to a drilling rig chain break protection method, a drilling rig chain break protection device, a computing device, and a computer-readable storage medium. Background Art

[0002] A rotary drill is a type of drilling equipment that relies on a pressurized and rotary mechanism to provide sufficiently large axial pressure and rotary torque to the drill bit through the drill pipe. The rotary drill bit drills and rotates on the rock at the same time, generating static pressure and impact dynamic pressure on the rock. The cone continuously squeezes, cuts, impacts and crushes the rock while rolling at the bottom of the hole. Compressed air with a certain pressure and flow rate is ejected from the drill bit nozzle through the inner cavity of the drill pipe, continuously blowing the rock debris from the bottom of the hole along the annular space between the drill pipe and the hole wall to the outside of the hole until a hole of the required depth is formed.

[0003] In open-pit mines, when the rotary drill is drilling, the inner side of the lifting chain may break. The broken chain passes through the crown wheel on the top of the rotary drill, and the power head may fall directly. The lifting chain will fly out directly (commonly known as: flying over the mountain), causing damage to the rotary drill parts and safety accidents such as the chain hitting people. Summary of the Invention

[0004] In view of this, the embodiment of the present application provides a drilling rig chain break protection method to solve the technical defects existing in the prior art. The embodiment of the present application also provides a drilling rig chain break protection device, a computing device, and a computer-readable storage medium.

[0005] According to a first aspect of an embodiment of the present application, a drilling rig chain break protection method is provided, comprising:

[0006] According to the preset sensors, the head sheave status data of the target drilling rig is collected in real time;

[0007] Based on the state data of the overhead sheave, determining the overhead sheave speed data according to a preset speed algorithm;

[0008] When the sheave speed data meets the preset chain-breaking condition, a shutdown instruction and a warning instruction are generated;

[0009] In response to the shutdown instruction, the target drilling rig stops running, and in response to the early warning instruction, a preset early warning device issues a chain break early warning.

[0010] Optionally, the real-time collection of the head sheave status data of the target drilling rig according to the preset sensor includes:

[0011] Installing a first electromagnetic component on the head sheave of the target drilling rig;

[0012] According to a preset electromagnetic sensing distance interval, a second electromagnetic component is installed outside the head wheel of the target drilling rig;

[0013] collecting electromagnetic signal data between the second electromagnetic component and the first electromagnetic component in real time through the second electromagnetic component as the state data of the overhead sheave;

[0014] Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes:

[0015] The head sheave speed data of the target drilling rig is determined according to the frequency of the electromagnetic signal data.

[0016] Optionally, the real-time collection of the head sheave status data of the target drilling rig according to the preset sensor includes:

[0017] According to the visual sensor, image frame data of the target drilling rig is collected in real time;

[0018] using the head sheave position change data of the target drilling rig contained in adjacent image frames in the image frame data as the head sheave state data;

[0019] Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes:

[0020] The head sheave speed data is determined according to the head sheave position change data and the frame rate of the image frame data.

[0021] Optionally, the real-time collection of the head sheave status data of the target drilling rig according to the preset sensor includes:

[0022] According to the pressure sensor, the air pressure data of the head sheave area of ​​the target drilling rig is collected in real time, and the air pressure data of the head sheave area is used as the head sheave status data;

[0023] Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes:

[0024] Based on the air pressure data of the overhead sheave area, the overhead sheave speed data is determined by using a preset air pressure-speed comparison table.

[0025] Optionally, the real-time collection of the head sheave status data of the target drilling rig according to the preset sensor includes:

[0026] collecting vibration signals of the target drilling rig in real time according to a vibration sensor, and using the vibration signals as the head sheave state data;

[0027] Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes:

[0028] Based on the vibration signal, the speed data of the overhead sheave is determined through a preset vibration speed comparison table.

[0029] Optionally, the real-time collection of the head sheave status data of the target drilling rig according to the preset sensor includes:

[0030] collecting a sound signal of a sheave of the target drilling rig in real time according to a sound pressure sensor, and using the sound signal of the sheave as the sheave status signal;

[0031] Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes:

[0032] Based on the overhead sheave sound signal, the overhead sheave speed data is determined using a preset sound speed comparison table.

[0033] Optionally, the real-time collection of the head sheave status data of the target drilling rig according to the preset sensor includes:

[0034] Installing a sound generating assembly on the head sheave of the target drilling rig;

[0035] Acquiring a sound signal of the sound-generating component in real time using a sound pressure sensor, and using the sound signal as the state data of the overhead sheave;

[0036] Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes:

[0037] The speed data of the overhead wheel is determined based on the sound signal through the Doppler effect.

[0038] Optionally, the real-time collection of the head sheave status data of the target drilling rig according to the preset sensor includes:

[0039] monitoring the target drilling rig in real time according to at least one sensor sub-device among the preset sensors, and obtaining head sheave status sub-data corresponding to the at least one sensor sub-device;

[0040] Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes:

[0041] Based on the at least one sky sheave state sub-data, the sky sheave speed sub-data corresponding one-to-one to the at least one sky sheave state sub-data is determined according to a preset speed algorithm.

[0042] Optionally, when the sheave speed data meets a preset chain-breaking condition, generating a shutdown instruction and a warning instruction includes:

[0043] According to a preset state judgment condition, the state of the at least one sheave speed sub-data is sequentially judged to obtain state data corresponding to the at least one sheave speed sub-data, wherein the state data includes a chain-breaking state and a chain-non-breaking state, and the chain-breaking state and the chain-non-breaking state have different scoring values;

[0044] Performing weighted calculation on the score value corresponding to the at least one state data according to a preset weighting coefficient to obtain a link break score value;

[0045] When the link break score value exceeds a preset link break score threshold, the shutdown instruction and the warning instruction are generated.

[0046] According to a second aspect of an embodiment of the present application, a drilling rig chain break protection device is provided, comprising:

[0047] The acquisition module is configured to collect the head sheave status data of the target drilling rig in real time according to the preset sensors;

[0048] a calculation module configured to determine the speed data of the sky wheel based on the sky wheel state data and according to a preset speed algorithm;

[0049] a judgment module configured to generate a shutdown instruction and a warning instruction when the speed data of the overhead sheave meets a preset chain-breaking condition;

[0050] The response module is configured to respond to the shutdown instruction so that the target drilling rig stops running, and respond to the early warning instruction so that a preset early warning device issues a chain break early warning.

[0051] According to a third aspect of an embodiment of the present application, a computing device is provided, including:

[0052] memory and processor;

[0053] The memory is used to store computer-executable instructions, and the processor implements the steps of the drilling rig chain break protection method when executing the computer-executable instructions.

[0054] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, which stores computer-executable instructions. When the instructions are executed by a processor, the steps of the drilling rig chain break protection method are implemented.

[0055] According to a fifth aspect of the embodiments of the present application, a chip is provided, which stores a computer program. When the computer program is executed by the chip, the steps of the drilling rig chain break protection method are implemented.

[0056] The drill rig chain break protection method provided by the present application collects the sheave status data of the target drill rig in real time according to a preset sensor; determines the sheave speed data based on the sheave status data according to a preset speed algorithm; generates a shutdown command and an early warning command when the sheave speed data meets the preset chain break condition; in response to the shutdown command, the target drill rig stops running, and in response to the early warning command, a preset early warning device issues a chain break warning. This avoids safety accidents caused by broken hoisting chains during the operation of the drill rig, reduces equipment component losses by shutting down the machine, and avoids casualties. The early warning device notifies the operator of broken hoisting chains to prevent the impact of safety accidents from expanding, and reminds relevant personnel to inspect and repair the hoisting chains. The method also automatically detects the hoisting chains of the drill rig, eliminating the need for on-site safety personnel to oversee the equipment. This is conducive to the realization of unmanned equipment operation and the construction of intelligent mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0058] Figure 1 This is a flow chart of a drilling rig chain break protection method provided by one embodiment of the present application;

[0059] Figure 2 This is a structural diagram of a drilling rig chain break protection device provided in one embodiment of the present application;

[0060] Figure 3 This is a structural block diagram of a computing device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0061] The following description sets forth many specific details to facilitate a thorough understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the scope of the present application. Therefore, the present application is not limited to the specific implementations disclosed below.

[0062] The terms used in one or more embodiments of the present application are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of the present application. The singular forms "a", "the" and "the" used in one or more embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present application refers to and includes any or all possible combinations of one or more associated listed items.

[0063] It should be understood that although the terms "first," "second," and the like may be used to describe various information in one or more embodiments of the present application, such information should not be limited to these terms. These terms are merely used to distinguish information of the same type from one another. For example, "first" may also be referred to as "second," and similarly, "second" may also be referred to as "first," without departing from the scope of one or more embodiments of the present application.

[0064] First, the terms involved in one or more embodiments of the present invention are explained.

[0065] A rotary drill is a type of drilling equipment commonly used in large open-pit mines. Over the past half century, open-pit drilling equipment has evolved from "knock drills" to flame drills and percussion (down-the-hole) drills. Ultimately, rotary drills, with their advantages of large borehole diameters and high drilling efficiency, have become the prevalent drilling equipment used in large and medium-sized open-pit mines.

[0066] This application provides a drilling rig chain break protection method, a drilling rig chain break protection device, a computing device, and a computer-readable storage medium, which are described in detail in the following embodiments.

[0067] Figure 1 A flowchart of a drilling rig chain break protection method according to an embodiment of the present application is shown, which specifically includes the following steps:

[0068] Step S102: collecting the head sheave status data of the target drilling rig in real time according to the preset sensors;

[0069] Step S104: determining the speed data of the overhead sheave according to a preset speed algorithm based on the overhead sheave state data;

[0070] Step S106: When the sheave speed data meets the preset chain break condition, a shutdown instruction and a warning instruction are generated;

[0071] Step S108: In response to the shutdown instruction, the target drilling rig stops running, and in response to the warning instruction, a preset warning device issues a chain break warning.

[0072] The target drill is a rotary drill used in open-pit mines for drilling operations. The drill uses a power head to power the drill rod. The power head moves up and down via lifting chains arranged on both sides. These lifting chains are connected to the crown sheaves on the top of the rotary drill, which can be thought of as fixed pulleys that support the lifting chains and ensure their stability during operation.

[0073] Based on this, if the hoist chain of a rotary drill breaks, the hoist chain will accelerate downward due to gravity. The sheave connected to the hoist chain will be affected by the broken hoist chain. Specifically, the friction between the broken hoist chain and the sheave will cause the sheave to rotate faster. In this case, a preset sensor monitors and collects sheave status data in real time, and calculates sheave speed data based on the detected sheave status data. When fluctuations in sheave speed data are detected and certain conditions are met, namely, a chain break condition, a determination is made that the hoist chain is broken, and a shutdown command and a warning command are generated. Based on the shutdown command, the target drilling rig's operations are halted, and based on the warning command, a preset warning device issues an alarm. It should be noted that the warning device can be one or more of a warning indicator light, a warning ringtone, and a pop-up warning message window on the human-machine interface. The type and number of warning devices are determined by the actual usage scenario and are not limited in this embodiment.

[0074] In summary, by real-time monitoring of the target drilling rig's sheave and further determining its speed, the status of the lifting chain can be determined. In the event of a broken lifting chain, the target drilling rig can be shut down immediately to reduce the loss of equipment components and avoid casualties. The early warning device can also notify people of the broken lifting chain to avoid the expansion of the impact of the safety accident, and remind relevant personnel to inspect and repair the lifting chain. The lifting chain of the drilling rig can be automatically detected, and there is no need to arrange safety officers on site to guard the equipment, which is conducive to the realization of unmanned equipment operation and the construction of intelligent mines.

[0075] Furthermore, the head sheave of the target drilling rig can be detected by the principle of electromagnetic induction. In this embodiment, the specific implementation is as follows:

[0076] A first electromagnetic component is installed on the head sheave of the target drilling rig; a second electromagnetic component is installed outside the head sheave of the target drilling rig according to a preset electromagnetic sensing distance interval; electromagnetic signal data between the second electromagnetic component and the first electromagnetic component is collected in real time by the second electromagnetic component as the head sheave status data; and the head sheave speed data of the target drilling rig is determined based on the frequency of the electromagnetic signal data.

[0077] Among them, by installing a first electromagnetic component on the sky wheel and a second electromagnetic component outside the sky wheel, and setting the installation position of the second electromagnetic component according to the electromagnetic sensing distance range, when the sky wheel rotates, electromagnetic signal data is generated between the first electromagnetic component and the second electromagnetic component due to the electromagnetic induction effect.

[0078] Based on this, since the rotation of the sky wheel drives the position of the first electromagnetic component to change, while the position of the second electromagnetic component is fixed, the distance between the first electromagnetic component and the second electromagnetic component will also change, which in turn will cause the electromagnetic signal generated between the first electromagnetic component and the second electromagnetic component to change. The installation position of the second electromagnetic component needs to ensure that the minimum distance between the first electromagnetic component and the second electromagnetic component is greater than the electromagnetic perception distance between the two. The electromagnetic perception distance means that when the distance between the first electromagnetic component and the second electromagnetic component exceeds this distance, no current signal can be generated, or the generated current signal is too weak to be collected and analyzed.

[0079] Furthermore, there are two scenarios for determining the maximum distance between the first and second electromagnetic components: a maximum distance greater than the electromagnetic sensing distance between the two components, and a maximum distance less than or equal to the electromagnetic sensing distance between the two components. In the first scenario, the overhead wheel rotates periodically, generating a periodic, non-smooth curve of electromagnetic signal data. In this scenario, the maximum value or derivative discontinuity of the electromagnetic signal data can be analyzed to determine the period and frequency of the electromagnetic signal data. Alternatively, the phase of the curve portion of the electromagnetic signal data where the derivative is continuous can be analyzed to determine the period and frequency of the electromagnetic signal data.

[0080] In the second scenario, the center wheel rotates periodically, generating a smooth, periodic electromagnetic signal. The peaks and troughs of the electromagnetic signal, or the phases of each point within the signal, can be analyzed to determine its period and frequency. By determining the frequency of the electromagnetic signal, the time required for one rotation of the center wheel can be determined, effectively determining its rotational speed.

[0081] In summary, the above method can realize low-cost determination of the overhead sheave speed data, and the data processing process is simple, without placing excessive demands on the computing power of the hardware equipment, and the data processing has good real-time performance and high accuracy of the data processing results.

[0082] Furthermore, the head sheave of the target drilling rig can be detected by a visual sensor. In this embodiment, the specific implementation is as follows:

[0083] According to the visual sensor, image frame data of the target drilling rig is collected in real time; the head sheave position change data of the target drilling rig contained in adjacent image frames in the image frame data is used as the head sheave status data; and the head sheave speed data is determined based on the head sheave position change data and the frame rate of the image frame data.

[0084] Among them, the visual sensor can be a camera sensor, a depth sensor, an infrared sensor, a photoelectric sensor, etc. The specific type of visual sensor is determined by the actual usage scenario and is not limited in this embodiment.

[0085] Based on this, a visual sensor is used to capture images of the target drilling rig. Based on the captured image frame data, image analysis technology is used to identify the head sheave contained therein and determine the position change of the head sheave between two adjacent image frames. The process of determining the head sheave position change between adjacent image frames can be performed by analyzing preset image acquisition points on the head sheave, such as preset color blocks on the head sheave or structural feature points of the head sheave itself. The specific image acquisition points are determined by the actual usage scenario and are not limited in this embodiment. After determining the head sheave position change data in two adjacent image frames, the head sheave speed data can be determined based on the image acquisition frequency of the visual sensor.

[0086] In summary, the speed of the overhead wheel is collected by the visual sensor, and the collected images have high accuracy. In addition, the calculation granularity of the overhead wheel speed is also small. That is, the determination of the overhead wheel speed data is only related to the frame rate of the image frame data collected by the visual camera, and there is no need to obtain the overhead wheel speed data after the overhead wheel rotates for at least one circle, which has higher real-time performance.

[0087] Furthermore, the head sheave of the target drilling rig can be detected by a pressure sensor. In this embodiment, the specific implementation is as follows:

[0088] According to the pressure sensor, the air pressure data of the sheave area of ​​the target drilling rig is collected in real time, and the air pressure data of the sheave area is used as the sheave status data; based on the air pressure data of the sheave area, the sheave speed data is determined through a preset air pressure-speed comparison table.

[0089] The rotation of the sky wheel will drive the air flow near the sky wheel, and the flowing air will change the atmospheric pressure here. The pressure sensor determines the atmospheric pressure near the sky wheel.

[0090] Based on this, the type of pressure sensor is determined by the actual use scenario and is not limited in this embodiment. The pressure sensor collects real-time air pressure data in the skywheel area, i.e., near the skywheel. The skywheel speed data is determined by lookup based on a pre-calculated pressure-speed comparison table containing the relationship between air pressure data and flywheel speed. A windshield can be installed between the skywheel and the pressure sensor to prevent ambient airflow from affecting the detection results. The specific device structure is determined by the actual use scenario and is not limited in this embodiment. Furthermore, a filtering unit can be added to the pressure sensor to filter out interference from ambient noise.

[0091] Furthermore, the head sheave of the target drilling rig can be detected by a vibration sensor. In this embodiment, the specific implementation is as follows:

[0092] According to the vibration sensor, the vibration signal of the target drilling rig is collected in real time, and the vibration signal is used as the head sheave state data; based on the vibration signal, the head sheave speed data is determined through a preset vibration speed comparison table.

[0093] Among them, the vibration sensor is set on the head wheel of the target drilling rig, or on a fixed shaft directly connected to the head wheel. The head wheel will generate vibration during rotation, and the vibration spectrum is correlated with the rotation of the head wheel.

[0094] Based on this, the type of vibration sensor is determined by the actual usage scenario and is not limited in this embodiment. Vibration information of the flywheel or the fixed shaft connected to the flywheel is collected, and the flywheel speed data is determined by lookup based on a pre-calculated vibration speed comparison table containing the relationship between the vibration signal and the flywheel speed. A filtering unit can also be added to the pressure sensor to filter out interference from ambient noise.

[0095] Furthermore, the head sheave of the target drilling rig can be detected by using an acoustic pressure sensor. In this embodiment, the specific implementation is as follows:

[0096] According to the sound pressure sensor, the head sheave sound signal of the target drilling rig is collected in real time, and the head sheave sound signal is used as the head sheave status signal; based on the head sheave sound signal, the head sheave speed data is determined through a preset sound speed comparison table.

[0097] The sound pressure sensor is arranged near the head sheave of the target drilling rig and is used to detect the sound signals generated between the head sheave and the lifting chain and between the head sheave and the air during the rotation of the head sheave.

[0098] Based on this, the type of sound pressure sensor is determined by the actual usage scenario and is not limited in this embodiment. By collecting the sound signals generated between the crown sheave and the lifting chain, and between the crown sheave and the air, and based on a pre-calculated sound speed comparison table containing the relationship between the sound signal and the flywheel speed, the crown sheave speed data is determined by looking up the table. A sound insulation device can also be installed between the crown sheave and the sound pressure sensor to prevent the sound of the external environment from affecting the detection results. The specific device structure is determined by the actual usage scenario and is not limited in this embodiment. In addition, a filtering unit can be added to the sound pressure sensor to filter out interference from environmental noise.

[0099] Furthermore, the Doppler effect can be used to detect the head sheave of the target drilling rig. In this embodiment, the specific implementation is as follows:

[0100] A sound generating assembly is installed on the head sheave of the target drilling rig; a sound signal of the sound generating assembly is collected in real time using a sound pressure sensor, and the sound signal is used as the head sheave status data; and the head sheave speed data is determined based on the sound signal through the Doppler effect.

[0101] Among them, the sound-emitting component can be a component that emits sound through a specific structure of the component according to the airflow generated by the movement of the sky wheel, such as a whistle, or it can be a component for sending a specific sound, such as a speaker. The specific type and structure of the sound-emitting component are determined by the actual usage scenario and are not limited in this embodiment.

[0102] Based on this, the sound-generating component is installed on the sky wheel. The movement of the sky wheel will drive the sound-generating component to move together, while the position of the sound pressure sensor remains unchanged, so that the distance between the sound pressure sensor and the sound-generating component will change. According to the Doppler effect, the wavelength of the radiation emitted by the object changes due to the relative motion of the wave source and the observer. Then the tone of the sound signal emitted by the generating component collected by the sound pressure sensor changes periodically. The time it takes for the sky wheel to rotate once is determined based on the change period, and then the speed of the sky wheel is calculated.

[0103] In addition, a sound insulation device can be set between the overhead wheel and the sound pressure sensor to prevent the sound of the external environment from affecting the detection results. The specific device structure is determined by the actual usage scenario and is not limited in this embodiment. A filtering unit can also be added to the sound pressure sensor to filter out the interference of environmental noise.

[0104] Furthermore, the head sheave of the target drilling rig can be detected by setting more than one sensor. In this embodiment, the specific implementation is as follows:

[0105] According to at least one sensor sub-device among the preset sensors, the target drilling rig is monitored in real time to obtain the sheave status sub-data corresponding one-to-one to the at least one sensor sub-device; based on the at least one sheave status sub-data, the sheave speed sub-data corresponding one-to-one to the at least one sheave status sub-data is determined according to a preset speed algorithm.

[0106] Furthermore, if more than one sensor collects the speed data of the crown wheel, then when judging the state of the lifting chain, the collection results of each sensor must also be combined. In this embodiment, the specific implementation is as follows:

[0107] According to preset status judgment conditions, the status of the at least one sheave speed sub-data is judged in turn to obtain status data corresponding to the at least one sheave speed sub-data, wherein the status data includes a broken chain state and a non-broken chain state, and the broken chain state and the non-broken chain state correspond to different scoring values; according to a preset weighting coefficient, the scoring value corresponding to the at least one status data is weightedly calculated to obtain a broken chain scoring value; when the broken chain scoring value exceeds a preset broken chain scoring threshold, the shutdown instruction and the early warning instruction are generated.

[0108] Among them, due to the different anti-interference capabilities of various sensors, for example, sound pressure sensors and pressure sensors, in open-air working environments such as mines, face more interference sources and have lower anti-interference capabilities. Visual sensors, on the other hand, are less susceptible to interference from the mine environment. Therefore, the confidence levels of the data collected by various sensors are different. Different weights need to be set for different sensors to facilitate comprehensive consideration of the data collection results of different sensors.

[0109] Based on this, different sensors are used to collect relevant data on the target drilling rig to determine the status of the sheave. The speed of the sheave is then calculated based on the collected data. The speed data obtained is then compared with the threshold speed. When the speed is greater than the threshold speed, the lifting chain is considered broken, and the status data is determined to be a broken chain state. Otherwise, it is a non-broken chain state. The status data determined by each sensor is weighted by the weight coefficient corresponding to each sensor. It should be noted that the weight coefficient can be determined through prior measurement. Sensors with stronger anti-interference capabilities have higher weight coefficients, while sensors with stronger anti-interference capabilities have lower weight coefficients. The status data obtained by each sensor is then combined with the weight coefficients of each sensor to obtain a score value. If this score value is higher than the preset score threshold, the current lifting chain is determined to be broken, and a shutdown command and warning command are generated.

[0110] In summary, by integrating the data collection results of multiple sensors, we can avoid the misjudgment of a single sensor due to environmental interference, effectively improve the detection accuracy, and enhance the usability in different scenarios.

[0111] Corresponding to the above method embodiment, the present application also provides an embodiment of a drilling rig chain break protection device, Figure 2 FIG. 1 shows a structural diagram of a drilling rig chain break protection device provided by an embodiment of the present application. Figure 2 As shown, the device includes:

[0112] The acquisition module 202 is configured to acquire the head sheave status data of the target drilling rig in real time according to the preset sensors;

[0113] The calculation module 204 is configured to determine the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data;

[0114] The judgment module 206 is configured to generate a shutdown instruction and a warning instruction when the speed data of the overhead sheave meets a preset chain-breaking condition;

[0115] The response module 208 is configured to respond to the shutdown instruction to cause the target drilling rig to stop operating, and respond to the warning instruction to cause a preset warning device to issue a chain break warning.

[0116] In an optional embodiment, the acquisition module 202 is further configured to:

[0117] A first electromagnetic component is installed on the head sheave of the target drilling rig; a second electromagnetic component is installed outside the head sheave of the target drilling rig according to a preset electromagnetic sensing distance interval; electromagnetic signal data between the second electromagnetic component and the first electromagnetic component is collected in real time through the second electromagnetic component as the head sheave status data

[0118] Accordingly, the calculation module 204 is configured to:

[0119] The head sheave speed data of the target drilling rig is determined according to the frequency of the electromagnetic signal data.

[0120] In an optional embodiment, the acquisition module 202 is further configured to:

[0121] According to the visual sensor, image frame data of the target drilling rig is collected in real time; and the head sheave position change data of the target drilling rig contained in adjacent image frames in the image frame data is used as the head sheave status data.

[0122] Accordingly, the calculation module 204 is configured to:

[0123] The head sheave speed data is determined according to the head sheave position change data and the frame rate of the image frame data.

[0124] In an optional embodiment, the acquisition module 202 is further configured to:

[0125] According to the pressure sensor, the air pressure data of the head sheave area of ​​the target drilling rig is collected in real time, and the air pressure data of the head sheave area is used as the head sheave status data.

[0126] Accordingly, the calculation module 204 is configured to:

[0127] Based on the air pressure data of the overhead sheave area, the overhead sheave speed data is determined through a preset air pressure-speed comparison table.

[0128] In an optional embodiment, the acquisition module 202 is further configured to:

[0129] According to the vibration sensor, the vibration signal of the target drilling rig is collected in real time, and the vibration signal is used as the head sheave state data.

[0130] Accordingly, the calculation module 204 is configured to:

[0131] Based on the vibration signal, the speed data of the overhead sheave is determined through a preset vibration speed comparison table.

[0132] In an optional embodiment, the acquisition module 202 is further configured to:

[0133] According to the sound pressure sensor, the head sheave sound signal of the target drilling rig is collected in real time, and the head sheave sound signal is used as the head sheave status signal.

[0134] Accordingly, the calculation module 204 is configured to:

[0135] Based on the sound signal, the speed data of the overhead sheave is determined using a preset sound speed comparison table.

[0136] In an optional embodiment, the acquisition module 202 is further configured to:

[0137] Installing a sound generating assembly on the head sheave of the target drilling rig; collecting a sound signal of the sound generating assembly in real time according to a boost sensor, and using the sound signal as the head sheave status data;

[0138] Accordingly, the calculation module 204 is configured to:

[0139] Based on the sound signal, the speed data of the overhead wheel is determined by using the Doppler law.

[0140] In an optional embodiment, the acquisition module 202 is further configured to:

[0141] According to at least one sensor sub-device among the preset sensors, the target drilling rig is monitored in real time to obtain the head sheave status sub-data corresponding to the at least one sensor sub-device.

[0142] Accordingly, the calculation module 204 is configured to:

[0143] Based on the at least one sky sheave state sub-data, the sky sheave speed sub-data corresponding one-to-one to the at least one sky sheave state sub-data is determined according to a preset speed algorithm.

[0144] In an optional embodiment, the determination module 206 is further configured to:

[0145] According to preset status judgment conditions, the status of the at least one sheave speed sub-data is judged in turn to obtain status data corresponding to the at least one sheave speed sub-data, wherein the status data includes a broken chain state and a non-broken chain state, and the broken chain state and the non-broken chain state correspond to different scoring values; according to a preset weighting coefficient, the scoring value corresponding to the at least one status data is weightedly calculated to obtain a broken chain scoring value; when the broken chain scoring value exceeds a preset broken chain scoring threshold, the shutdown instruction and the early warning instruction are generated.

[0146] The drill rig chain break protection device provided in the present application collects the sheave status data of the target drill rig in real time according to a preset sensor; determines the sheave speed data based on the sheave status data according to a preset speed algorithm; generates a shutdown command and an early warning command when the sheave speed data meets the preset chain break condition; in response to the shutdown command, the target drill rig stops running, and in response to the early warning command, the preset early warning device issues a chain break warning. This avoids safety accidents caused by broken hoisting chains during the operation of the drill rig, reduces equipment component losses by shutting down the machine, and avoids casualties. The early warning device notifies the operator of broken hoisting chains to avoid the impact of safety accidents from expanding, and reminds relevant personnel to inspect and repair the hoisting chains. The device also automatically detects the hoisting chains of the drill rig, eliminating the need for on-site safety personnel to monitor the equipment, which is conducive to the realization of unmanned equipment operation and the construction of intelligent mines.

[0147] The above is a schematic scheme of a drill rig chain break protection device of this embodiment. It should be noted that the technical solution of the drill rig chain break protection device and the technical solution of the drill rig chain break protection method mentioned above belong to the same concept. For details not described in detail in the technical solution of the drill rig chain break protection device, please refer to the description of the technical solution of the drill rig chain break protection method mentioned above. In addition, the various components in the device embodiment should be understood as functional modules that must be established to implement each step of the program flow or each step of the method. Each functional module is not an actual functional division or separation definition. The device claim defined by such a group of functional modules should be understood as a functional module architecture that mainly implements the solution through the computer program recorded in the specification, and should not be understood as a physical device that mainly implements the solution through hardware.

[0148] Figure 3 The block diagram shows a structure of a computing device 300 according to an embodiment of the present application. The components of the computing device 300 include, but are not limited to, a memory 310 and a processor 320. The processor 320 is connected to the memory 310 via a bus 330, and a database 350 is used to store data.

[0149] The computing device 300 also includes an access device 340 that enables the computing device 300 to communicate via one or more networks 360. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 340 may include one or more of any type of network interface (e.g., a network interface card (NIC)) whether wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a Worldwide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, a near field communication (NFC) interface, and the like.

[0150] In one embodiment of the present application, the above components of the computing device 300 and Figure 3 Other components not shown in the figure may also be connected to each other, for example, via a bus. Figure 3 The computing device structure block diagram shown is for illustrative purposes only and is not intended to limit the scope of the present application. Those skilled in the art may add or replace other components as needed.

[0151] Computing device 300 can be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook computer, etc.), a mobile phone (e.g., a smartphone), a wearable computing device (e.g., a smartwatch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or PC. Computing device 300 can also be a mobile or stationary server.

[0152] The processor 320 is configured to execute computer executable instructions for the steps related to the drilling rig chain break protection method.

[0153] The above is a schematic diagram of a computing device according to this embodiment. It should be noted that the technical solution of this computing device is based on the same concept as the technical solution of the aforementioned drilling rig chain break protection method. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the aforementioned drilling rig chain break protection method.

[0154] An embodiment of the present application further provides a computer-readable storage medium storing computer instructions, which, when executed by a processor, are used to execute steps related to the drilling rig chain break protection method.

[0155] The above is a schematic diagram of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium is based on the same concept as the technical solution of the aforementioned drilling rig chain break protection method. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the aforementioned drilling rig chain break protection method.

[0156] An embodiment of the present application further provides a chip storing a computer program, which implements the steps of the drilling rig chain break protection method when executed by the chip.

[0157] The foregoing description describes specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0158] The computer instructions include computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0159] It should be noted that for the aforementioned method embodiments, for ease of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0160] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0161] The preferred embodiments of the present application disclosed above are intended only to help illustrate the present application. The optional embodiments do not describe all details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made based on the content of this application. This application selects and describes these embodiments in detail in order to better explain the principles and practical applications of this application, so that those skilled in the art can better understand and utilize this application. This application is limited only by the claims and their full scope and equivalents.

Claims

1. A drilling rig chain break protection method, characterized in that: include: collecting, in real time, head sheave status data of a target drilling rig according to preset sensors. Specifically, monitoring the target drilling rig in real time according to at least one sensor sub-device among the preset sensors to obtain head sheave status sub-data corresponding to the at least one sensor sub-device. Based on the sky wheel state data, determining the sky wheel speed data according to a preset speed algorithm, specifically, based on the at least one sky wheel state sub-data, determining the sky wheel speed sub-data corresponding to the at least one sky wheel state sub-data according to a preset speed algorithm; When the sheave speed data satisfies a preset chain break condition, a shutdown instruction and a warning instruction are generated. Specifically, according to a preset state judgment condition, a state judgment is performed on the at least one sheave speed sub-data in sequence to obtain state data corresponding to the at least one sheave speed sub-data. The state data includes a chain break state and a non-chain break state, and the chain break state and the non-chain break state have different scoring values. According to a preset weighting coefficient, a weighted calculation is performed on the scoring value corresponding to the at least one state data to obtain a chain break scoring value. When the chain break scoring value exceeds a preset chain break scoring threshold, the shutdown instruction and the warning instruction are generated. In response to the shutdown instruction, the target drilling rig stops running, and in response to the early warning instruction, a preset early warning device issues a chain break early warning.

2. The method according to claim 1, characterized in that The method of collecting the head sheave status data of the target drilling rig in real time based on the preset sensors includes: Installing a first electromagnetic component on the head sheave of the target drilling rig; According to a preset electromagnetic sensing distance interval, a second electromagnetic component is installed outside the head wheel of the target drilling rig; collecting electromagnetic signal data between the second electromagnetic component and the first electromagnetic component in real time through the second electromagnetic component as the state data of the overhead sheave; Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes: The head sheave speed data of the target drilling rig is determined according to the frequency of the electromagnetic signal data.

3. The method according to claim 1, characterized in that The method of collecting the head sheave status data of the target drilling rig in real time based on the preset sensors includes: According to the visual sensor, image frame data of the target drilling rig is collected in real time; using the head sheave position change data of the target drilling rig contained in adjacent image frames in the image frame data as the head sheave state data; Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes: The head sheave speed data is determined according to the head sheave position change data and the frame rate of the image frame data.

4. The method according to claim 1, wherein The method of collecting the head sheave status data of the target drilling rig in real time based on the preset sensors includes: According to the pressure sensor, the air pressure data of the head sheave area of ​​the target drilling rig is collected in real time, and the air pressure data of the head sheave area is used as the head sheave status data; Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes: Based on the air pressure data of the overhead sheave area, the overhead sheave speed data is determined by using a preset air pressure-speed comparison table.

5. The method according to claim 1, wherein The method of collecting the head sheave status data of the target drilling rig in real time based on the preset sensors includes: According to the vibration sensor, a vibration signal of the target drilling rig is collected in real time, and the vibration signal is used as the state data of the head pulley; Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes: Based on the vibration signal, the speed data of the overhead sheave is determined through a preset vibration speed comparison table.

6. The method according to claim 1, characterized in that The method of collecting the head sheave status data of the target drilling rig in real time based on the preset sensors includes: collecting a sound signal of a sheave of the target drilling rig in real time according to a sound pressure sensor, and using the sound signal of the sheave as the sheave status signal; Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes: Based on the overhead sheave sound signal, the overhead sheave speed data is determined using a preset sound speed comparison table.

7. The method according to claim 1, characterized in that The method of collecting the head sheave status data of the target drilling rig in real time based on the preset sensors includes: Installing a sound generating assembly on the head sheave of the target drilling rig; Acquiring a sound signal of the sound-generating component in real time using a sound pressure sensor, and using the sound signal as the state data of the overhead sheave; Accordingly, the determining of the speed data of the sky wheel according to a preset speed algorithm based on the sky wheel state data includes: The speed data of the overhead wheel is determined based on the sound signal through the Doppler effect.

8. A drilling rig chain break protection device, characterized in that: include: The acquisition module is configured to acquire the head sheave status data of the target drilling rig in real time based on the preset sensors. Specifically, the acquisition module is configured to monitor the target drilling rig in real time based on at least one sensor sub-device among the preset sensors to obtain head sheave status sub-data corresponding to the at least one sensor sub-device. a calculation module configured to determine the sky wheel speed data based on the sky wheel state data and according to a preset speed algorithm, and specifically, to determine the sky wheel speed sub-data corresponding to the at least one sky wheel state sub-data based on the at least one sky wheel state sub-data and according to a preset speed algorithm; a judgment module configured to generate a shutdown instruction and a warning instruction when the sheave speed data satisfies a preset chain break condition. Specifically, according to a preset state judgment condition, perform state judgment on the at least one sheave speed sub-data in sequence to obtain state data corresponding to the at least one sheave speed sub-data, wherein the state data includes a chain break state and a non-chain break state, and the chain break state and the non-chain break state have different scoring values. According to a preset weighting coefficient, perform weighted calculation on the scoring value corresponding to the at least one state data to obtain a chain break scoring value. When the chain break scoring value exceeds a preset chain break scoring threshold, the shutdown instruction and the warning instruction are generated. The response module is configured to respond to the shutdown instruction so that the target drilling rig stops running, and respond to the early warning instruction so that a preset early warning device issues a chain break early warning.

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