A micro-flow-sensing-based mountain geophysical prospecting drill embedded oil consumption monitoring device

Abstract

The utility model discloses a mountain geophysical prospecting drilling machine embedded oil consumption monitoring devices based on micro flow sensing, including oil consumption monitoring devices, oil inlet pipe and oil outlet pipe, the housing of oil consumption monitoring devices is equipped with positive displacement flow sensor, UPS power module, singlechip module and internet of things module, singlechip module is connected with positive displacement flow sensor, internet of things module electric signal respectively, internet of things module and cloud server wireless communication connection, positive displacement flow sensor is oval gear flow sensor, compares with prior art, the utility model discloses accurate measurement oil volume through positive displacement flow sensor, after the data of singlechip processing, by NB IoT module real -time upload to cloud server, realize the remote automatic monitoring in the accuracy of plus or minus 10%, solved the mountain environment artificial transcription low efficiency, the problem that current equipment can not real -time upload data.

Description

Technical Field

[0001] This utility model relates to the field of testing equipment, and in particular to an embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing. Background Technology

[0002] In measuring oil consumption during drilling in mountainous areas, it is difficult to set up a complete monitoring system because the drilling sites are all located in mountainous areas. Staff need to manually record the readings of the oil consumption flow meter, organize them, and send them to the remote server at the back end on a regular basis. This not only results in poor real-time performance but also low accuracy and high manual labor intensity.

[0003] Some flow meters are used in conjunction with monitoring recorders, which can monitor and record the real-time data of the flow meter, but cannot be directly sent to a remote server. The real-time reception of the remote server is also poor. Moreover, when the flow rate is low and the time is short, the existing flow meters will upload multiple data points. It is necessary to manually add up the multiple data points to obtain the final measurement result, and then send the recorded and organized data to the remote server, which is also inefficient. Utility Model Content

[0004] The purpose of this invention is to address the problems of low efficiency in manual data recording in mountainous environments and the inability of existing equipment to upload data in real time. It proposes an embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing. This device accurately measures the fuel quantity through a volumetric flow sensor. After the data is processed by a microcontroller, it is uploaded to a cloud server in real time by an NB-IoT module, achieving remote automatic monitoring within ±10% accuracy.

[0005] To achieve the above objectives, the technical solution adopted by this utility model is as follows:

[0006] An embedded fuel consumption monitoring device for a mountain geophysical drilling rig based on micro-flow sensing includes a fuel consumption monitoring device, an inlet pipe, and an outlet pipe. The housing of the fuel consumption monitoring device houses a volumetric flow sensor, a UPS power supply module, a microcontroller module, and an Internet of Things (IoT) module. The microcontroller module is electrically connected to the volumetric flow sensor and the IoT module, respectively. The IoT module is wirelessly connected to a cloud server. The volumetric flow sensor is an elliptical gear or Roots wheel flow sensor. The inlet pipe is connected to the inlet end of the volumetric flow sensor, and the outlet pipe is connected to the outlet end of the volumetric flow sensor. The UPS power supply module is electrically connected to the volumetric flow sensor, the microcontroller module, and the IoT module, respectively.

[0007] As a priority, the UPS power module consists of a power unit, a power management chip, and a battery protection chip. The power unit is electrically connected to the battery protection chip, and the power unit is electrically connected to a volumetric flow sensor, a microcontroller module, and an Internet of Things module through the power management chip.

[0008] As a preferred option, the IoT module adopts an NB-IoT communication module.

[0009] As a preferred feature, the microcontroller module uses STMicroelectronics' (ST) low-power ARM Cortex-M0+ series MCU as the main control chip.

[0010] As a preferred embodiment, the oil inlet pipe and the oil outlet pipe extend to the outside of the housing of the oil consumption monitoring device, the oil inlet pipe is connected to the inside of the oil tank, and the oil outlet pipe is connected to the inside of the oil tank of the drilling engine.

[0011] As a preferred feature, the fuel inlet pipe has a gasoline filter.

[0012] As a preferred option, the inlet and outlet pipes are also equipped with switching valves.

[0013] As a preferred feature, the housing of the fuel consumption monitoring device is provided with an arrow indicating the direction of gasoline flow.

[0014] As a preferred feature, the housing of the fuel consumption monitoring device is equipped with a handle for easy gripping.

[0015] As a priority, the housing of the fuel consumption monitoring device is equipped with a QR code containing a unique device ID.

[0016] Compared with the prior art, the advantages of this utility model are:

[0017] (1) This utility model integrates a volumetric flow sensor and an NB-IoT module to realize automatic collection and real-time remote transmission of fuel consumption data, solving the problems of low efficiency of manual data recording in mountainous environments and data fragmentation of existing equipment.

[0018] (2) Built-in UPS power module ensures power outage recovery and adapts to field conditions without stable power supply.

[0019] (3) It can accurately measure the actual fuel consumption and then upload it to the designated cloud server. The fuel consumption data can be viewed through the cloud server. The accuracy requirement of the monitoring data is within ±10%. It solves the problems of fuel consumption and uploading to the Internet of Things in mountain drilling, reduces time costs, fuel costs, personnel costs, etc., improves construction efficiency, strengthens fuel consumption quality control, and verifies the correctness of fuel consumption data. Attached Figure Description

[0020] Figure 1 This is a schematic diagram of the fuel consumption monitoring device of this utility model;

[0021] Figure 2 This is a block diagram of the internal circuit principle of the fuel consumption monitoring device of this utility model;

[0022] Figure 3 This is a schematic diagram illustrating the working principle of a volumetric flow sensor.

[0023] In the diagram: 1. Fuel consumption monitoring device; 2. Fuel inlet pipe; 3. Fuel outlet pipe; 4. Volumetric flow sensor; 5. Microcontroller module; 6. Internet of Things module; 7. UPS power supply module; 8. Fuel filter; 9. Switch valve; 10. Arrow indicator; 11. Handle; 12. QR code; Detailed Implementation

[0024] The present invention will be further described below: An embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing, see [link to relevant documentation]. Figure 1 and Figure 2 This invention relates to an embedded fuel consumption monitoring device 1 for a mountain geophysical drilling rig. The device comprises an inlet pipe 2 and an outlet pipe 3. The housing of the fuel consumption monitoring device 1 houses a volumetric flow sensor 4, a UPS power module 7, a microcontroller module 5, and an Internet of Things (IoT) module 6. The microcontroller module 5 is electrically connected to the volumetric flow sensor 4 and the IoT module 6, respectively. The IoT module 6 is wirelessly connected to a cloud server. The inlet pipe 2 is connected to the inlet end of the volumetric flow sensor 4, and the outlet pipe 3 is connected to the outlet end of the volumetric flow sensor 4. The UPS power module 7 is electrically connected to the volumetric flow sensor 4, the microcontroller module 5, and the IoT module 6, respectively. This invention designs an embedded fuel consumption monitoring device 1 for a mountain geophysical drilling rig. The inlet pipe 2 and the outlet pipe 3 connect an oil tank and a drilling engine. The volumetric flow sensor 4 monitors the amount of gasoline input to the drilling engine, thereby recording the fuel consumption of the drilling engine. The fuel consumption information is then transmitted in real-time to a cloud server via the IoT module 6.

[0025] To address the issue of multiple data points being uploaded when the flow rate is low and the time is short, the volumetric flow sensor 4 is an elliptical gear or Roots wheel flow sensor. The elliptical gear flow sensor is a type of volumetric flow meter, considered one of the most accurate flow instruments. It utilizes mechanical measuring elements to continuously divide the fluid into individual known volume portions. The total flow volume is measured by the number of times the measuring chamber is repeatedly filled and discharged within each volume portion. (See [link]). Figure 3 The oval gear flow meter is suitable for flow measurement in industries such as chemical, petroleum, pharmaceutical, power, metallurgy, and food. The volumetric flow sensor 4 converts the flow velocity and flow rate signals into electrical signals, which are then transmitted to the microcontroller module 5. The microcontroller module 5 accumulates the electrical signals from the sensor, calculates the total flow rate over a certain period, and then sends the result to the 4G IoT module 6. The volumetric flow sensor measures oil volume through changes in the volume of the gear meshing chamber (see...). Figure 3This device is suitable for flow rates from 0.1 to 10 m / s, with an overall accuracy of ±0.5%. It features a 316L stainless steel housing and a Hall effect sensor array, supporting flow rate detection within this range. An integrated temperature compensation algorithm eliminates the influence of medium temperature (40-120℃) on measurement accuracy through polynomial fitting, achieving an overall accuracy of ±0.5%. With an IP68 protection rating, it is suitable for harsh industrial environments such as highly corrosive and dusty conditions.

[0026] The UPS power module 7 primarily supplies power to the entire system. It consists of a power unit, a power management chip, and a battery protection chip. The power unit is electrically connected to the battery protection chip. Through the power management chip, the power unit is also electrically connected to the volumetric flow sensor 4, the microcontroller module 5, and the IoT module 6. The system uses four EVE Energy 18650 cylindrical ternary lithium batteries as the power unit, allowing it to operate in environments ranging from -20°C to +60°C. A Texas Instruments power management chip monitors battery level changes in real time. A Taiwan-based HY series chip from Hikvision Technology is used for battery protection and equalization charging. When the battery is low, the fuel consumption monitoring device 1 needs to be connected to a charger for charging. Charging typically takes about 5 hours.

[0027] The main function of the IoT module 6 is to send the final calculation result to the designated Internet cloud server. The IoT module 6 is a BC95 4G ​​module that adopts the NB-IoT standard.

[0028] The BC95 4G ​​module supports dynamic power adjustment strategies:

[0029] 1. Transmission mode: 23dBm transmit power, establishing a TCP / IP long connection;

[0030] 2. Standby mode: Switch to PSM mode, power consumption drops to 15μA.

[0031] 3. Design a dual-threshold wake-up mechanism: a time threshold (12h) and a data change threshold (5%), which reduces the average daily power consumption by 62% according to actual measurements in the oil field.

[0032] Specific implementation steps:

[0033] 1) Embed the AT command set in the communication protocol stack to achieve automatic state machine switching;

[0034] 2) Optimize antenna layout by using ceramic patch antennas (3dBi gain) to avoid interference from metal equipment;

[0035] 3) Upload data to the cloud server platform via the MQTT protocol, with the data packet encapsulation format being JSON+CRC32 verification.

[0036] The microcontroller module 5 uses a low-power ARM Cortex-M0+ series MCU from STMicroelectronics as its main control chip. The microcontroller module 5 accumulates the electrical signals transmitted from the sensors, calculates the total flow rate over a certain period, and then sends the result to the 4G IoT module 6.

[0037] The inlet pipe 2 and outlet pipe 3 extend to the outside of the housing of the fuel consumption monitoring device 1. The inlet pipe 2 is connected to the inside of the oil tank, and the outlet pipe 3 is connected to the inside of the fuel tank of the drilling engine, serving as a fuel supply line to supply fuel to the drilling engine and simultaneously monitoring the fuel supply amount. The inlet pipe 2 has a gasoline filter element 8, which can filter out impurities in the gasoline to provide the drilling engine with gasoline of similar quality. The inlet pipe 2 and outlet pipe 3 are also equipped with a switch valve 9, which is a ball valve, to open and close the inlet pipe 2 and outlet pipe 3.

[0038] Since the surface shell of the fuel consumption monitoring device 1 has no front or back orientation, but the liquid flow direction needs to be fixed, requiring correct installation by personnel, an arrow marking 10 indicating the gasoline flow direction is provided on the shell of the fuel consumption monitoring device 1 to prevent personnel from oriented it incorrectly. Additionally, a handle 11 is provided on the shell of the fuel consumption monitoring device 1 for easy gripping by personnel.

[0039] The housing of the fuel consumption monitoring device 1 is designed with an IP65 protection rating and the electrical components meet explosion-proof standards (such as Ex ib IIC T4 Gb), making it suitable for mountainous environments with high dust, humidity, and potential oil and gas.

[0040] In addition, to facilitate on-site staff to view relevant data, the housing of the fuel consumption monitoring device 1 is equipped with a QR code 12 with a unique device ID. Staff can view the device's data by scanning the code with their mobile phones or by entering the device code, which is very convenient.

[0041] During the production of fuel consumption monitoring device 1, an equipment coding system is constructed based on the ISO / IEC 18004 standard to generate a 16-bit unique equipment ID (the first 8 bits are the manufacturer code, and the last 8 bits are the hash serial number);

[0042] Its QR code 12 generation uses Reed-Solomon error correction coding (fault tolerance level L) and supports offline scanning and cloud data mapping.

[0043] Specific implementation steps:

[0044] 1) A unique ID is burned into the EEPROM storage area when the device leaves the factory;

[0045] 2) Use the ZXing library to generate QR code 12, embedding the device ID, production batch, and key information;

[0046] 3) Establish an OAuth 2.0 authentication interface in the cloud database to enable secure data access after scanning the code.

[0047] Cloud server data storage and log management

[0048] Use a MySQL database to store the following data.

[0049] The main database stores raw data (flow, temperature, time, etc.) at 1-second intervals, and the exception log table records the event type, trigger time, device number, and associated parameter snapshots, supporting fast retrieval by time / device ID.

[0050] Instructions for operation and use of this utility model: The oil required for drilling is transmitted through the oil consumption monitoring device 1. Before drilling, two sections of pipe, the inlet pipe 2 and the outlet pipe 3, need to be connected to the two ends of the volumetric flow sensor 4 of the oil consumption monitoring device 1. One section of pipe has a gasoline filter element 8. The pipe with the gasoline filter element 8 is the inlet pipe 2, and the pipe without the gasoline filter element 8 is the outlet pipe 3. There is an arrow indicating the direction of gasoline flow on the top of the oil consumption monitoring device 1. Insert the inlet pipe 2 and the outlet pipe 3 according to the direction of gasoline flow. Each section of pipe has a ball valve that needs to be manually controlled. Put the inlet pipe 2 into the oil drum, connect the outlet pipe 3 to the drilling engine, turn on the power of the oil consumption monitoring device 1 and the ball valve, and the drilling rig will start working. At the same time, the oil consumption monitoring device 1 will upload the gasoline consumption data to a designated cloud server. On-site personnel can log in to the cloud server platform through a mobile APP, scan the QR code 12 on the oil consumption monitoring device 1 or find the corresponding code of the oil consumption monitoring device 1 to view and record the oil used for the corresponding drilling.

[0051] The above provides a detailed description of the embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing provided by this utility model. Specific examples have been used to illustrate the principle and implementation of this utility model. The description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​this utility model. At the same time, for those skilled in the art, based on the idea of ​​this utility model, there will be changes in the specific implementation and application scope. Changes and improvements to this utility model are possible without exceeding the concept and scope specified in the appended claims. Therefore, the content of this specification should not be construed as a limitation of this utility model.

Claims

1. An embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing, characterized in that: The device includes a fuel consumption monitoring unit, an inlet pipe, and an outlet pipe. The fuel consumption monitoring unit's housing houses a volumetric flow sensor, a UPS power supply module, a microcontroller module, and an Internet of Things (IoT) module. The microcontroller module is electrically connected to the volumetric flow sensor and the IoT module, respectively. The IoT module is wirelessly connected to a cloud server. The volumetric flow sensor is an elliptical gear or Roots wheel flow sensor. The inlet pipe is connected to the inlet end of the volumetric flow sensor, and the outlet pipe is connected to the outlet end of the volumetric flow sensor. The UPS power supply module is electrically connected to the volumetric flow sensor, the microcontroller module, and the IoT module, respectively.

2. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The UPS power module consists of a power unit, a power management chip, and a battery protection chip. The power unit is electrically connected to the battery protection chip, and the power unit is electrically connected to a volumetric flow sensor, a microcontroller module, and an Internet of Things module through the power management chip.

3. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The IoT module uses an NB-IoT communication module.

4. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The microcontroller module uses STMicroelectronics' (ST) low-power ARM Cortex-M0+ series MCU as the main control chip.

5. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The oil inlet pipe and the oil outlet pipe extend to the outside of the housing of the oil consumption monitoring device. The oil inlet pipe is connected to the inside of the oil tank, and the oil outlet pipe is connected to the inside of the oil tank of the drilling engine.

6. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The oil inlet pipe has a gasoline filter.

7. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The inlet and outlet pipes are also equipped with switching valves.

8. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The fuel consumption monitoring device has an arrow marking the direction of gasoline flow on its casing.

9. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The fuel consumption monitoring device has a handle on its housing for easy gripping.

10. The embedded fuel consumption monitoring device for mountain geophysical drilling rigs based on micro-flow sensing according to claim 1, characterized in that: The fuel consumption monitoring device has a QR code with a unique device ID on its casing.

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