Collection and control integrated electric drill rod detection machine system based on Internet of Things technology

Abstract

The invention relates to the technical field of drill rod detection machines, and discloses a mining and control integrated electric drill rod detection machine system based on the Internet of Things technology, and the system comprises a sensor module which is used for detecting the depth displacement and hammering times of the drill rod detection operation in real time, and the sensor module comprises a displacement sensor which detects the displacement depth of the drill rod detection operation; the infrared sensor is used for recording the occurrence of each hammering; the control chip is an ESP32 chip, is connected to the sensor module and receives data of the sensor module, and the control chip carries out communication through an RS485 bus; and the motor control module comprises a vertical working motor and a heavy hammer recovery motor, and the motor is connected to the control chip through a relay to control starting and stopping of the drilling detection operation and heavy hammer recovery. Through real-time data acquisition of the displacement sensor and the infrared sensor, a traditional operation mode depending on artificial experience is replaced, and accurate monitoring of depth displacement and the number of hammering times is achieved.

Description

Technical Field

[0001] The invention relates to the technical field of electric drilling machines, and in particular to an electric drilling machine system integrating mining and control based on Internet of Things technology. Background Art

[0002] With the rapid development of Internet of Things technology, the application of intelligent equipment with integrated mining and control in various industries has become more and more extensive, and the drilling operation in the construction industry has gradually changed from the traditional manual operation mode to automation and intelligence. The drilling operation is an important part of foundation survey. The data such as depth displacement and number of hammer blows obtained through the drilling operation directly affect the safety and quality of the project. However, traditional drilling machines mostly rely on manual operation and experience judgment. There are problems such as inaccurate measurement, difficulty in real-time data acquisition, and inconvenient transmission during the operation process. Especially in complex or harsh working environments, manual recording of data is easily affected by the environment, resulting in large errors, which is not conducive to reliable analysis of subsequent work.

[0003] The introduction of Internet of Things technology provides a technical foundation for the automation and intelligence of drilling operations. By connecting hardware such as sensors, control chips, and communication modules to the cloud platform, the electric drilling machine system with integrated acquisition and control can achieve remote control of the equipment, real-time data collection and transmission, and accurately record data such as depth displacement and number of hammer strikes in each operation through sensors. Such systems not only improve the convenience of operation and the real-time nature of data, but also enable remote monitoring and analysis through cloud synchronization of data, greatly improving work efficiency and the reliability of data management.

[0004] Most sensors in existing systems are single displacement or vibration sensors, which cannot simultaneously and efficiently and accurately record the data of depth displacement and number of hammer blows, resulting in insufficient integrity of the drilling data. Secondly, traditional systems mostly use high-power control when controlling motors, which poses certain safety hazards. Especially in complex environments, the reliability and safety of high-power control are often low.

[0005] In addition, existing systems do not fully consider the real-time transmission and storage of data. They usually rely on local storage or can only perform limited data synchronization. They cannot fully utilize the advantages of the Internet of Things to achieve remote sharing and instant analysis of large-scale data, and there are risks in the security and real-time nature of the data.

[0006] Based on the deficiencies of the prior art, the present invention provides an electric drilling machine system with integrated mining and control based on Internet of Things technology. Summary of the invention

[0007] In view of the shortcomings of the prior art, the present invention provides an electric drilling machine system with integrated mining and control based on the Internet of Things technology, which solves the problem that the sensors in the existing systems are mostly single displacement or vibration sensors, which cannot simultaneously and efficiently and accurately record the data of depth displacement and number of hammer blows, resulting in insufficient integrity of the drilling data.

[0008] To achieve the above purpose, the present invention is implemented by the following technical scheme: an electric drilling machine system based on Internet of Things technology with integrated mining and control, comprising:

[0009] The sensor module is used to detect the depth displacement and hammering times of the drilling operation in real time, and the sensor module includes:

[0010] Displacement sensor, to detect the displacement depth of the drilling operation;

[0011] Infrared sensor, records each hammer blow;

[0012] A control chip, which is an ESP32 chip, is connected to the sensor module and receives data from the sensor module. The control chip communicates via an RS485 bus.

[0013] A motor control module, including a vertical working motor and a weight recovery motor, wherein the motor is connected to the control chip through a relay to control the start, stop and weight recovery of the drilling operation;

[0014] The communication module uses a 4G communication module to upload the data collected by the sensor module to the cloud and synchronize it to a third-party detection platform;

[0015] The mobile application is based on H5 technology and is used for remote control and monitoring of the device and receiving sensor data in real time.

[0016] Preferably, the control chip controls a strong current relay through weak current to ensure the safe starting and stopping of the vertical working motor and the heavy hammer recovery motor.

[0017] Preferably, the displacement sensor is used to record data at every 30 cm displacement interval, and the data is transmitted to the control chip via an RS485 bus for processing.

[0018] Preferably, the displacement sensor is used to record data at every 30 cm displacement interval, and the data is transmitted to the control chip via an RS485 bus for processing.

[0019] Preferably, the communication module is further used to transmit the depth displacement and hammer number data collected during the drilling operation to cloud storage in real time, and provide an interface for synchronizing the data to a third-party detection platform.

[0020] Preferably, the mobile application supports starting and stopping the remote control device, and monitors the operating data of each drill detection point in real time, including depth displacement and number of hammer blows.

[0021] Preferably, the mobile application also includes a data export function, which can export the collected drilling operation data into a CSV or Excel format file.

[0022] Preferably, the system includes a storage module, which is used to locally store the drilling operation data collected by the sensor module and synchronize with the cloud.

[0023] Preferably, the ESP32 control chip automatically generates an operation report after each drilling operation is completed, and the report includes the depth displacement, number of hammer strikes and operation completion time of each measuring point.

[0024] Preferably, the system also includes a safety protection mechanism, which automatically stops the operation of the vertical working motor and sends an alarm signal to the operator when the displacement sensor or the infrared sensor detects an abnormality.

[0025] Working principle: ESP32 chip is used as the control core, and the displacement sensor and infrared sensor are connected through the RS485 interface to realize the accurate detection of the depth displacement and the number of hammer strikes during the drilling operation. The system controls the strong electric motor through weak current to ensure the real-time synchronization of the motor start and stop and the sensor feedback information, thereby improving the safety of the operation. The sensor data is uploaded to the cloud in real time through the 4G module, and is synchronously transmitted to the third-party detection platform to ensure the authenticity and traceability of the data. In terms of hardware, the system controls the vertical working motor and the recovery hammer motor through relays. The sensor monitors the hammer action in real time and records the depth change every 30cm. The collected displacement and hammer data are synchronized to the remote platform, supporting the cloud storage and export of data. In terms of software, the system is equipped with a mobile H5 application, which provides remote control and data monitoring functions. The operator can view the operation data in real time through the mobile device and complete the remote control of the equipment. The IoT architecture of the system not only improves the accuracy of measurement and the reliability of data, but also greatly simplifies the operation process and reduces the error of human intervention. Through the integrated design of intelligent control and data acquisition, the problems of manual visual inspection and data synchronization in the existing drilling operation are solved, and it has broad application prospects.

[0026] The present invention provides an electric drilling machine system based on Internet of Things technology with integrated mining and control. It has the following beneficial effects:

[0027] 1. The present invention replaces the traditional operation mode that relies on manual experience through real-time data collection of displacement sensors and infrared sensors, and realizes accurate monitoring of depth displacement and hammering times. Combined with the Internet of Things technology, it ensures real-time transmission and synchronization of data, making the drilling data more reliable and traceable, meeting the strict requirements of the construction industry for accuracy and reliability.

[0028] 2. The present invention uses the ESP32 control chip and the mobile H5 application to achieve remote control and real-time monitoring of the equipment. The operator can conveniently manage the start, stop and data monitoring of the drilling operation through the mobile device, which reduces the complexity of on-site operation and greatly improves work efficiency. At the same time, the system has the function of automatically generating operation reports and data export, which simplifies the data processing process and improves the automation level of operation and data management.

[0029] 3. The present invention has designed a safety protection mechanism, which can automatically stop the equipment operation and send out an alarm signal when the sensor detects an abnormal situation to prevent accidents. In addition, the system has dual data protection functions of local storage and cloud synchronization, which can ensure the integrity and security of data even in the case of network interruption, greatly improving the stability and safety of drilling operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a system diagram of the present invention;

[0031] Figure 2 It is a sensor module framework diagram of the present invention;

[0032] Figure 3 It is the principle diagram of the present invention;

[0033] Figure 4 It is a stereogram of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] Please see attached Figure 1 - Attachment Figure 4 The embodiment of the present invention provides an electric drilling machine system based on Internet of Things technology and integrated with mining and control, including:

[0036] The sensor module is used to detect the depth displacement and hammering times of the drilling operation in real time, and the sensor module includes:

[0037] Displacement sensor, to detect the displacement depth of the drilling operation;

[0038] Infrared sensor, records each hammer blow;

[0039] A control chip, which is an ESP32 chip, is connected to the sensor module and receives data from the sensor module. The control chip communicates via an RS485 bus.

[0040] A motor control module, including a vertical working motor and a weight recovery motor, wherein the motor is connected to the control chip through a relay to control the start, stop and weight recovery of the drilling operation;

[0041] The communication module uses a 4G communication module to upload the data collected by the sensor module to the cloud and synchronize it to a third-party detection platform;

[0042] The mobile application is based on H5 technology and is used for remote control and monitoring of the device and receiving sensor data in real time.

[0043] The control chip controls the strong current relay through weak current to ensure the safe starting and stopping of the vertical working motor and the heavy hammer recovery motor.

[0044] Specifically, the control chip uses ESP32 as the core, and realizes the safe start and stop of the vertical working motor and the heavy hammer recovery motor by controlling the strong current with weak current. Specifically, the ESP32 control chip is connected to the relay module through the RS485 bus. The relay module is responsible for receiving the control signal from the control chip and converting the weak current signal into a command to control the start or stop of the strong current motor. Through this design, the system can safely control the operation of high-power motors without direct exposure to high voltage and current, thereby ensuring that the motor start and stop process in the drilling operation is accurate and safe, avoiding safety hazards caused by motor overload or misoperation. This solution not only improves the working safety of the equipment, but also reduces the complexity and energy consumption of the control system.

[0045] The displacement sensor is used to record data at every 30 cm displacement interval, and the data is transmitted to the control chip via the RS485 bus for processing.

[0046] The displacement sensor is used to record data at every 30 cm displacement interval, and the data is transmitted to the control chip via the RS485 bus for processing.

[0047] Specifically, the displacement sensor is used to detect the change in the depth displacement of the weight during the drilling process. It is installed on the top of the drilling bracket and records the displacement data at intervals of 30 cm. The displacement sensor is installed at the key position of the drilling machine to collect displacement information in real time to ensure the accurate recording of each displacement. When the weight moves down to the preset intervals of 30 cm, 60 cm, 90 cm, etc., the displacement sensor will automatically record the current displacement data and transmit the data to the ESP32 control chip through the RS485 bus. After receiving the displacement data, the control chip processes and stores it, and determines whether it is necessary to adjust the working status of the motor or send the data to the remote monitoring system based on the data. This design scheme realizes precise control of the drilling process and real-time data collection through precise depth displacement monitoring, ensuring the efficiency of the operation and the reliability of the data.

[0048] The communication module is further used to transmit the depth displacement and hammer number data collected during the drilling operation to cloud storage in real time, and provide an interface for synchronizing the data to a third-party testing platform.

[0049] Specifically, the communication module adopts 4G communication technology to transmit the collected depth displacement and hammer count data to cloud storage in real time during the drilling operation. Through this communication module, the data collected by the sensor will be processed by the ESP32 control chip and uploaded to the cloud in real time through the 4G module to ensure the real-time and integrity of the data. In addition, the communication module also provides a data synchronization interface with a third-party testing platform, which can seamlessly transmit the operation data to relevant testing agencies to ensure remote sharing and verification of the test data. This design realizes efficient management and real-time monitoring of the drilling operation data, while providing remote data access and analysis capabilities, improving the intelligence of the system and data transparency.

[0050] The mobile application supports remote control of the start and stop of the device and real-time monitoring of the operating data of each drill detection point, including depth displacement and number of hammer blows.

[0051] The mobile application also includes a data export function, which can export the collected drilling operation data into CSV or Excel format files.

[0052] Specifically, the mobile application is developed based on H5 technology, which supports the operator to remotely control the start and stop functions of the drilling equipment through the mobile device. The application communicates with the ESP32 control chip in real time, allowing the operator to send start or stop instructions remotely and monitor the operation data of each drilling point in real time during the operation, including depth displacement and number of hammer strikes. The mobile application not only realizes the remote control of the equipment, but also provides data management functions, which can export the collected drilling operation data in CSV or Excel format files. Through this function, users can easily store, share and subsequently analyze the operation data, thereby improving the availability of data and the flexibility of operation, and meeting the multiple needs of on-site operations and data management.

[0053] The system includes a storage module, which is used to locally store the drilling operation data collected by the sensor module and synchronize with the cloud.

[0054] The ESP32 control chip automatically generates an operation report after each drilling operation is completed. The report includes the depth displacement, number of hammer strikes and operation completion time of each measuring point.

[0055] The system also includes a safety protection mechanism, which automatically stops the operation of the vertical working motor and sends an alarm signal to the operator when the displacement sensor or the infrared sensor detects an abnormality.

[0056] Specifically, the system integrates a storage module for local storage of the drilling operation data collected by the displacement sensor and the infrared sensor. The data collected by the sensor is transmitted to the ESP32 control chip through the RS485 bus. The chip processes the data and stores it in the local storage module to ensure that the data will not be lost when the network is unstable. At the same time, the storage module supports data synchronization with the cloud to ensure that the drilling data can be stored and accessed remotely. After each drilling operation is completed, the ESP32 control chip will automatically generate a detailed operation report. The report includes the depth displacement, number of hammer strikes and completion time of each measuring point, and upload it to the cloud or export it for analysis. In addition, the system is designed with a safety protection mechanism. When the displacement sensor or infrared sensor detects an abnormal situation, the ESP32 control chip will immediately trigger the protection program, automatically stop the operation of the vertical working motor, and notify the operator through an alarm signal to prevent the occurrence of safety accidents. This design improves the safety, data reliability and intelligence level of the system, and ensures the stable operation of the drilling operation and the complete storage of data.

[0057] Embodiment 2:

[0058] 1. System architecture

[0059] The electric drilling machine system of the present invention is composed of a sensor, a control chip, a motor, an Internet of Things module and a data storage / transmission module. The overall structure controls the strong electric motor through weak electricity and relies on the Internet of Things technology to achieve remote monitoring and data synchronization. It mainly includes the following parts:

[0060] Sensor module: including displacement sensor and infrared sensor. The displacement sensor is used to detect the depth of the drilling, and the infrared sensor is used to record the number of hammer strikes. The two sensors are installed at key parts of the electric drilling machine, such as the vertical working motor and the hammer position of the drilling machine.

[0061] Control module: Based on the ESP32 chip as the core control unit, it communicates with peripheral sensors through the RS485 bus. The ESP32 chip is responsible for receiving sensor data, processing control signals, and controlling the start and stop of the vertical working motor and the recovery motor through relays.

[0062] Motor control module: The system uses two motors, one for vertical drilling and the other for the recovery of the hammer. The start and stop of the motor are controlled by a relay, which receives the signal from ESP32 to ensure that the motor action during the drilling process is synchronized with the sensor data collection.

[0063] Data collection and storage module: Using the 4G module in the Internet of Things technology, real-time data is uploaded to the cloud and simultaneously transmitted to a third-party testing agency. The data is also stored in the local device to support subsequent export and analysis.

[0064] Remote control and monitoring module: The system software realizes remote control and monitoring through H5 mobile application. The operator can view the equipment status, sensor data (number of hammer strikes, displacement depth, etc.) in real time through the mobile device, and control the start and stop operation of the motor.

[0065] 2. Hardware Implementation

[0066] 2.1 Sensor connection and data collection

[0067] The displacement sensor is installed on the heavy hammer recovery path of the electric drilling machine to detect the depth of each drilling. The infrared sensor is installed near the hammer point to record the occurrence of each hammer. The two sensors are connected to the ESP32 control unit through the RS485 bus to achieve real-time data transmission between the sensor and the control unit.

[0068] 2.2 Motor control and motion synchronization

[0069] The system is equipped with two motors, which are responsible for controlling the vertical operation of the drilling machine and the recovery of the weight. The relay is connected to the motor, and ESP32 controls the closing and opening of the relay through weak current signals, thereby controlling the operation of the motor. When the drilling starts, the vertical working motor starts, and the weight motor is in standby mode. The displacement sensor records the drilling depth at intervals of 30 cm. When the depth reaches the preset threshold (for example, 2.1 meters), the motor automatically stops working and the weight motor starts to recover the hammer.

[0070] 2.3 Real-time data synchronization and cloud storage

[0071] The present invention uses a 4G communication module to upload the displacement and hammer data collected by the sensor to the cloud server in real time, ensuring the real-time and traceability of the data. At the same time, the data is synchronously transmitted to the third-party testing platform through the API interface to achieve real-time docking with the testing agency. The data is also stored locally in the storage module of the ESP32 control unit, and supports the operator to export the data to a designated mailbox or other storage medium through the mobile application for subsequent data analysis and review.

[0072] 3. Software Implementation

[0073] 3.1 Device Control of H5 Applications

[0074] The system is equipped with a mobile H5 application, through which the operator can remotely control and monitor the equipment in real time. At the beginning of each drilling operation, the operator can choose to start the device on the mobile terminal, and the application sends the command to the ESP32 chip through the network, and the chip starts the vertical working motor according to the command. During the operation, the application displays the data collected by the sensor in real time, including the number of hammer strikes and depth displacement, and the operator can view the completion status of each measuring point through the interface.

[0075] 3.2 Data processing and export

[0076] After each operation is completed, the system will classify the measured data by measuring point and upload it to the cloud. The operator can export the data to a designated mailbox or other platform through the H5 application. All operation data will be stored in a standardized format, including information such as the depth, number of hammer strikes and completion time of each measuring point.

[0077] 4. Workflow

[0078] The system's workflow is as follows:

[0079] Equipment initialization: After the operator starts the equipment through the H5 application, the system checks the status of sensors and motors to ensure that the equipment is ready.

[0080] Operation starts: the vertical working motor starts, and the heavy hammer motor is in standby mode. The displacement sensor starts recording depth data every 30 cm, and the infrared sensor records each hammering.

[0081] Data recording and transmission: At each depth point, the system collects the number of hammer strikes and depth displacement data, uploads them to the cloud in real time, and stores them locally.

[0082] End of operation: When the displacement reaches the preset maximum depth (such as 2.1 meters), the vertical working motor stops, the heavy hammer motor starts, and the hammer body is recovered. After the operation is completed, the system automatically clears the statistical data of this operation.

[0083] Data export and analysis: After the operation is completed, the operator can export the data through the H5 application for further analysis.

[0084] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An electric drilling machine system based on Internet of Things technology with integrated mining and control, characterized in that: include: The sensor module is used to detect the depth displacement and hammering times of the drilling operation in real time, and the sensor module includes: Displacement sensor, to detect the displacement depth of the drilling operation; Infrared sensor, records each hammer blow; A control chip, which is an ESP32 chip, is connected to the sensor module and receives data from the sensor module. The control chip communicates via an RS485 bus. A motor control module, including a vertical working motor and a weight recovery motor, wherein the motor is connected to the control chip through a relay to control the start, stop and weight recovery of the drilling operation; The communication module uses a 4G communication module to upload the data collected by the sensor module to the cloud and synchronize it to a third-party detection platform; The mobile application is based on H5 technology and is used for remote control and monitoring of the device and receiving sensor data in real time.

2. According to claim 1, an electric drilling machine system based on Internet of Things technology for mining and control is characterized in that: The control chip controls the strong current relay through weak current to ensure the safe starting and stopping of the vertical working motor and the heavy hammer recovery motor.

3. The electric drilling machine system based on the Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The displacement sensor is used to record data at every 30 cm displacement interval, and the data is transmitted to the control chip via the RS485 bus for processing.

4. The electric drilling machine system based on Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The displacement sensor is used to record data at every 30 cm displacement interval, and the data is transmitted to the control chip via the RS485 bus for processing.

5. The electric drilling machine system based on Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The communication module is further used to transmit the depth displacement and hammer number data collected during the drilling operation to cloud storage in real time, and provide an interface for synchronizing the data to a third-party testing platform.

6. The electric drilling machine system based on Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The mobile application supports remote control of the start and stop of the device and real-time monitoring of the operating data of each drill detection point, including depth displacement and number of hammer blows.

7. The electric drilling machine system based on Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The mobile application also includes a data export function, which can export the collected drilling operation data into CSV or Excel format files.

8. The electric drilling machine system based on Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The system includes a storage module, which is used to locally store the drilling operation data collected by the sensor module and synchronize with the cloud.

9. The electric drilling machine system based on Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The ESP32 control chip automatically generates an operation report after each drilling operation is completed. The report includes the depth displacement, number of hammer strikes and operation completion time of each measuring point.

10. The electric drilling machine system based on Internet of Things technology and integrated mining and control according to claim 1 is characterized in that: The system also includes a safety protection mechanism, which automatically stops the operation of the vertical working motor and sends an alarm signal to the operator when the displacement sensor or the infrared sensor detects an abnormality.

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