Well-ground remote control system for well-ground gravity and magnetic observation based on NB-IoT and dual-mode network

Abstract

The utility model discloses a well ground heavy magnetic observation remote control system based on NB IoT and bimodulus network, include: sensing part gathers geomagnetic signal, main control part is connected with sensing part, controls sensing part and carries out geomagnetic signal collection, obtains the geomagnetic signal after analog-digital conversion, communication part is connected with main control part, obtains the data packet of main control part's issue, power supply part is connected with sensing part, main control part and communication part, sensing part includes the micro -type three -component magnetic flux gate sensor and ADC circuit that connect gradually, ADC circuit carries out analog-digital conversion to micro -type three -component magnetic flux gate sensor gathering geomagnetic signal, main control part includes SPI communication circuit and singlechip, SPI communication circuit is connected with ADC circuit, communication part includes serial communication circuit, internet of things module, NB antenna and GPS compass antenna, serial communication circuit is connected with singlechip, obtains the data packet of singlechip's issue, internet of things module to singlechip's issue data packet with transmission.

Description

Technical Field

[0001] This utility model relates to the field of geophysical exploration instruments and low-power Internet of Things (IoT) application technology, and in particular to a remote control system for well-ground gravity and magnetic observation based on NB-IoT and dual-mode network. Background Technology

[0002] With the continuous development of geophysical exploration technology, combined well-to-surface observation has become an important means of obtaining information on deep geological structures. Among them, gravity and magnetic data, as a key type of physical field data, are crucial for applications such as geological disaster prediction and mineral resource exploration, due to their accurate and secure transmission and sharing. Currently, traditional well-to-surface observation equipment is limited by communication methods, resulting in problems such as deployment difficulties, large data delays, and the inability to be remotely managed.

[0003] For example, the disclosed technology, "High-Density Electrical Resistivity Measurement System for Landslide Monitoring" (Publication No. CN116337944A), includes: a data acquisition unit set up in the monitoring area of ​​a mountain slope, used to acquire the apparent resistivity of each monitoring point within the monitoring area; a measurement terminal electrically connected to the data acquisition unit; a communication unit wirelessly connected to the measurement terminal; and a cloud server wirelessly connected to the communication unit. The cloud server includes a data processing unit used to preprocess the apparent resistivity to obtain monitoring data of the monitoring area. The disadvantages of this technology are: First, existing technologies rely on traditional communication networks (such as 4G), which are prone to transmission interruptions or data packet loss in areas with weak signals, such as underground mines and valleys, leading to the loss of key observation data and affecting the integrity and reliability of monitoring results. Second, existing technologies lack a high-precision time synchronization mechanism, resulting in time deviations in data acquired from different nodes, making accurate time-series comparison and spatial joint analysis difficult, thus limiting its application in quantitative and high-precision geoscientific inversion. Third, existing technology systems consume a lot of power when working continuously in the field, requiring frequent maintenance or power supply replacements. This makes it difficult to meet the needs of long-term stable operation in remote areas or underground environments, significantly increasing maintenance costs and reducing the continuity of monitoring.

[0004] Therefore, there is an urgent need to propose a well-to-ground gravity and magnetic observation remote control system based on NB-IoT and dual-mode network that is simple in structure and reliable in transmission. Utility Model Content

[0005] To address the aforementioned problems, the purpose of this invention is to provide a remote control system for well-to-surface gravity and magnetic observation based on NB-IoT and a dual-mode network. The technical solution adopted by this invention is as follows: A remote control system for well-to-surface gravity and magnetic observation based on NB-IoT and dual-mode networks includes: The sensing component is deployed in the area of ​​the well to be measured to collect geomagnetic signals and perform analog-to-digital conversion; The main control unit is connected to the sensing unit and controls the sensing unit to collect geomagnetic signals and obtain the geomagnetic signals after analog-to-digital conversion. The communication section connects to the main control section and receives data packets sent by the main control section. The power supply section is connected to the sensing section, the main control section, and the communication section. The sensing part includes a miniature three-component fluxgate sensor and an ADC circuit connected in sequence; the ADC circuit performs analog-to-digital conversion on the geomagnetic signal acquired by the miniature three-component fluxgate sensor. The main control unit includes an SPI communication circuit and a microcontroller; the SPI communication circuit is connected to the ADC circuit and acquires the geomagnetic signal after analog-to-digital conversion; The communication component includes a serial communication circuit, an IoT module, an NB antenna, and a GPS / BeiDou antenna. The serial communication circuit is connected to a microcontroller and receives data packets sent by the microcontroller. The IoT module is connected to the serial communication circuit, the NB antenna, and the GPS / BeiDou antenna and transmits the data packets sent by the microcontroller.

[0006] Preferably, the microcontroller is an STM32L071RBT6.

[0007] Preferably, the serial communication circuit includes a diode Q4 and a transistor Q5 connected between the microcontroller and the IoT module; the transistor Q5 acquires the data packets sent by the microcontroller and sends them to the IoT module; the IoT module feeds back data to the microcontroller through the diode Q4.

[0008] Preferably, the IoT module includes an IoT wireless communication module U6.1 of model BC20 connected to a serial communication circuit, and a SIM card circuit connected to the IoT wireless communication module U6.1.

[0009] Preferably, the power supply section includes a main power input circuit, a 5V step-down output circuit, a 3.3V step-down output circuit, a reference voltage circuit, a +5V to +2.5V circuit, a reverse 5V circuit, and a -5V to -2.5V circuit; the reference voltage circuit, the +5V to +2.5V circuit, and the reverse 5V circuit are connected to the 5V step-down output circuit; the reference voltage circuit converts +5V to +2.5V and -2.5V; the reverse 5V circuit converts +5V to -5V; the -5V to -2.5V circuit is connected to the reverse 5V circuit; the reference voltage circuit is connected to the ADC circuit. The input voltage range of the main power input circuit is 5V to 24V.

[0010] Preferably, the reference voltage circuit includes a voltage reference chip U257 of model REF195FSZ-REEL, and operational amplifiers U112.1 and U112.2 connected to the voltage reference chip U257.

[0011] Preferably, the +5V to +2.5V circuit uses a low dropout regulator chip U261 with model number TPS73201DBVRG4.

[0012] Preferably, the reverse 5V circuit uses a switching regulator chip U258 with model number TPS60403DBVR.

[0013] Preferably, the -5V to -2.5V circuit uses a linear regulator chip U259 with model number TPS72301DBVT.

[0014] Compared with the prior art, the present invention has the following beneficial effects: This invention employs a low-power STM32L071RBT6 microcontroller and an NB-IoT communication module (BC20), combined with an intelligent sleep scheduling strategy, fundamentally reducing system power consumption. Specifically, when not collecting geomagnetic signals or during transmission, the microcontroller and NB-IoT communication module enter a sleep state to reduce energy consumption.

[0015] This invention solves the communication reliability problem in complex environments by setting up an NB-IoT communication module, which has strong signal penetration and wide coverage characteristics.

[0016] In summary, this utility model has the advantages of simple structure and reliable transmission, and has high practical and promotional value in the fields of geophysical exploration instruments and low-power Internet of Things application technology. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of this utility model, the drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this utility model and should not be regarded as a limitation on the scope of protection. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the principle of this utility model.

[0019] Figure 2 This is a schematic diagram of the microcontroller in this utility model.

[0020] Figure 3 This is a schematic diagram of the serial communication circuit in this utility model.

[0021] Figure 4 This is a schematic diagram of the NB-IoT communication module in this utility model.

[0022] Figure 5 This is a schematic diagram of the SIM card circuit in this utility model.

[0023] Figure 6 This is the schematic diagram of the ADC circuit in this utility model.

[0024] Figure 7 This is a schematic diagram of the reference voltage circuit in this utility model.

[0025] Figure 8 This is the schematic diagram of the +5V to +2.5V circuit in this utility model.

[0026] Figure 9 This is the schematic diagram of the reverse 5V circuit in this utility model.

[0027] Figure 10 This is the schematic diagram of the -5V to -2.5V circuit in this utility model.

[0028] Figure 11 This is a schematic diagram of the main power input circuit in this utility model.

[0029] Figure 12 This is the schematic diagram of the 5V step-down output circuit in this utility model.

[0030] Figure 13 This is the schematic diagram of the 3.3V step-down output circuit in this utility model. Detailed Implementation

[0031] To make the objectives, technical solutions, and advantages of this application clearer, the present invention will be further described below with reference to the accompanying drawings and embodiments. The embodiments of this utility model include, but are not limited to, the following embodiments. All other embodiments obtained by those skilled in the art based on the embodiments in this application without inventive effort are within the scope of protection of this application.

[0032] In this embodiment, the term "and / or" is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone.

[0033] The terms "first" and "second," etc., used in the specification and claims of this embodiment are used to distinguish different objects, not to describe a specific order of objects. For example, "first target object" and "second target object," etc., are used to distinguish different target objects, not to describe a specific order of target objects.

[0034] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0035] In the description of the embodiments in this application, unless otherwise stated, "multiple" means two or more. For example, multiple processing units means two or more processing units; multiple systems means two or more systems.

[0036] like Figures 1 to 13 As shown, this embodiment provides a remote control system for well-to-surface gravity and magnetic observation based on NB-IoT and a dual-mode network, comprising: a sensing unit, a main control unit, a communication unit, and a power supply unit. The sensing unit is deployed in the area to be measured (well-to-surface area) to collect geomagnetic signals and perform analog-to-digital conversion. The main control unit is connected to the sensing unit and controls the sensing unit to collect geomagnetic signals and obtain the converted geomagnetic signals. The communication unit is connected to the main control unit and receives data packets sent by the main control unit.

[0037] Here, the sensing section includes a miniature three-component fluxgate sensor and an ADC circuit connected in sequence. The ADC circuit performs analog-to-digital conversion on the geomagnetic signal acquired by the miniature three-component fluxgate sensor. The main control section includes an SPI communication circuit, a microcontroller, a reset circuit, and a crystal oscillator circuit. The SPI communication circuit is connected to the ADC circuit and acquires the geomagnetic signal after analog-to-digital conversion. Additionally, the communication section includes a serial communication circuit, an IoT module, an NB antenna, and a GPS / BeiDou antenna. The serial communication circuit is connected to the microcontroller and acquires data packets sent by the microcontroller. The IoT module is connected to the serial communication circuit, the NB antenna, and the GPS / BeiDou antenna and transmits the data packets sent by the microcontroller. It should be noted that this embodiment is based on structural improvements and does not modify the software program; it can be implemented using conventional programs. The working principle of this embodiment is as follows: The system utilizes the NB antenna (of the NB-IoT communication module), GPS / BeiDou antenna, and SIM card circuit to acquire requests for geomagnetic signals. These requests are then transmitted to the microcontroller via a serial communication circuit. The microcontroller controls the sensing section to acquire the geomagnetic signals. During geomagnetic signal acquisition and transmission, the STM32L071RBT6 microcontroller and the NB-IoT communication module (BC20) are in a wake-up state; otherwise, they are in a sleep state.

[0038] A miniature three-component fluxgate sensor and an ADC circuit receive acquisition commands from a microcontroller. The miniature three-component fluxgate sensor collects geomagnetic signals, which are then converted from analog to digital by the ADC circuit. The converted geomagnetic signal is transmitted to the microcontroller via an SPI communication circuit. The microcontroller sends data packets to the NB-IoT communication module (BC20) via a UART interface, and then the data is transmitted using an NB antenna, a GPS / BeiDou antenna, and a SIM card circuit.

[0039] The above embodiments are merely preferred embodiments of this utility model and are not intended to limit the scope of protection of this utility model. Any changes made based on the design principles of this utility model, or any non-creative changes made on this basis, shall fall within the scope of protection of this utility model.

Claims

1. A remote control system for well-to-surface gravity and magnetic observation based on NB-IoT and dual-mode network, characterized in that, include: The sensing component is deployed in the area of ​​the well to be measured to collect geomagnetic signals and perform analog-to-digital conversion; The main control unit is connected to the sensing unit and controls the sensing unit to collect geomagnetic signals and obtain the geomagnetic signals after analog-to-digital conversion. The communication section connects to the main control section and receives data packets sent by the main control section. The power supply section is connected to the sensing section, the main control section, and the communication section. The sensing part includes a miniature three-component fluxgate sensor and an ADC circuit connected in sequence; the ADC circuit performs analog-to-digital conversion on the geomagnetic signal acquired by the miniature three-component fluxgate sensor. The main control unit includes an SPI communication circuit and a microcontroller; the SPI communication circuit is connected to the ADC circuit and acquires the geomagnetic signal after analog-to-digital conversion; The communication component includes a serial communication circuit, an IoT module, an NB antenna, and a GPS / BeiDou antenna. The serial communication circuit is connected to a microcontroller and receives data packets sent by the microcontroller. The IoT module is connected to the serial communication circuit, the NB antenna, and the GPS / BeiDou antenna and transmits the data packets sent by the microcontroller.

2. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 1, characterized in that, The microcontroller is model STM32L071RBT6.

3. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 1 or 2, characterized in that, The serial communication circuit includes a diode Q4 and a transistor Q5 connected between the microcontroller and the IoT module; the transistor Q5 acquires the data packets sent by the microcontroller and sends them to the IoT module; the IoT module feeds back data to the microcontroller through the diode Q4.

4. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 3, characterized in that, The IoT module includes an IoT wireless communication module U6.1 (model BC20) connected to a serial communication circuit, and a SIM card circuit connected to the IoT wireless communication module U6.

1.

5. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 4, characterized in that, The power supply section includes a main power input circuit, a 5V step-down output circuit, a 3.3V step-down output circuit, a reference voltage circuit, a +5V to +2.5V circuit, a reverse 5V circuit, and a -5V to -2.5V circuit. The reference voltage circuit, the +5V to +2.5V circuit, and the reverse 5V circuit are connected to the 5V step-down output circuit. The reference voltage circuit converts +5V to +2.5V and -2.5V. The reverse 5V circuit converts +5V to -5V. The -5V to -2.5V circuit is connected to the reverse 5V circuit. The reference voltage circuit is connected to the ADC circuit. The input voltage range of the main power input circuit is 5V to 24V.

6. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 5, characterized in that, The reference voltage circuit includes a voltage reference chip U257 of model REF195FSZ-REEL, and operational amplifiers U112.1 and U112.2 connected to the voltage reference chip U257.

7. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 5, characterized in that, The +5V to +2.5V circuit uses a low dropout regulator chip U261 with model number TPS73201DBVRG4.

8. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 5, characterized in that, The reverse 5V circuit uses a switching regulator chip U258 with model number TPS60403DBVR.

9. The well-to-surface gravity and magnetic observation remote control system based on NB-IoT and dual-mode network according to claim 5, characterized in that, The -5V to -2.5V circuit uses a linear regulator chip U259 with model number TPS72301DBVT.

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