Local fan remote control system and device based on edge calculation

Abstract

The invention provides a local fan remote control system and device based on edge calculation. Comprising a monitoring control module, a communication transmission module, an edge calculation and data acquisition preprocessing module, a data aggregation and protocol conversion module and an analysis decision module. According to the local fan remote control system and device based on edge calculation, power supply and carrier communication are achieved through the power cable, and then novel remote control is achieved.

Description

Technical Field

[0001] The present invention relates to the field of local fan remote control, and in particular to a local fan remote control system and device based on edge computing. Background Art

[0002] Local fans are usually referred to as local ventilation fans, which are used to ventilate the working surface of a mine. In mines, the working surface needs to be blasted with explosives, which will produce toxic and harmful gases. Local fans are needed to ventilate and expel the toxic and harmful gases before people can enter the work area.

[0003] Currently, local fans in underground mines are mostly controlled manually or by PLCs. The main control components within the control box consist of circuit breakers, contactors, thermal relays, and other components. Manual control boxes lack remote control capabilities and only allow for local manual control, resulting in lower safety. PLC control, on the other hand, requires complex wiring, connecting the PLC cabinet and local fan control box via control or communication cables. While this improves safety compared to manual control, it requires a large number of control and communication cables within the local fan control circuit, significantly increasing labor and material resources and construction costs. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art and provides a local fan remote control system and device based on edge computing.

[0005] In a first aspect, the present invention provides a local fan remote control system based on edge computing, comprising a monitoring and control module, a communication transmission module, an edge computing and data acquisition preprocessing module, a data aggregation and protocol conversion module, and an analysis and decision-making module; The monitoring and control module is used to monitor the operating status of the local fan itself in real time and generate multiple basic data; The communication transmission module is used to transmit data and control signals; The edge computing and data acquisition preprocessing module is used to collect multiple basic data in real time and complete cleaning, compression and preliminary analysis of the collected multiple basic data at the local node to form multiple preprocessed data, and at the same time perform edge computing on the preprocessed data, and output the edge computing results to the monitoring control module. The edge computing results are stored in the internal register for the data aggregation and protocol conversion module to call; The data aggregation and protocol conversion module is used to call multiple edge computing results, and at the same time, uniformly convert the multiple edge computing results into a cloud adaptation protocol and perform dynamic routing optimization; The analysis and decision module is used to receive the multiple edge computing results processed by the data aggregation and protocol conversion module, synchronously integrate the data, store and analyze them, and generate global control instructions.

[0006] In some possible embodiments, the monitoring and control module includes a voltage transformer, a current transformer, a differential pressure monitoring sensor, an air volume monitoring sensor, a vibration and temperature and humidity monitoring sensor, and a hyper-fusion unit. The voltage transformer, the current transformer, the differential pressure monitoring sensor, the air volume monitoring sensor, and the vibration and temperature and humidity monitoring sensor are respectively connected to the hyper-fusion unit through the communication transmission module signal, and the hyper-fusion unit is connected to the edge computing and data acquisition preprocessing module through the communication transmission module signal.

[0007] In some possible embodiments, the communication transmission module includes a power cable, which is used to modulate the signals of the multiple basic data obtained after the monitoring and control module generates the multiple basic data, load the modulated signals on the current to generate a power carrier signal, and transmit the power carrier signal to the edge computing and data acquisition preprocessing module through the power cable.

[0008] In some possible embodiments, the edge computing and data acquisition preprocessing module includes multiple edge controllers, which collect multiple basic data in real time and perform edge computing on the multiple preprocessed data formed after cleaning, compression and preliminary analysis at the local node, and output the edge computing results to the monitoring and control module. The edge computing results are stored in internal registers for call by the data aggregation and protocol conversion module.

[0009] In some possible embodiments, the data aggregation and protocol conversion module includes a centralized controller, which receives multiple edge computing results from multiple edge controllers through the Modbus protocol and integrates and converts them into the MQTT cloud adaptation protocol to support multiple network transmissions of 5G and WiFi.

[0010] In some possible embodiments, the analysis and decision-making module includes a server station, which collects multiple edge computing results processed by the centralized controller, synchronously integrates the data, stores and analyzes them, and generates the global control instructions based on the analysis results.

[0011] In some possible embodiments, the global control instruction is gradually transmitted back to the multiple edge controllers through the reverse carrier signal generated by the communication transmission module, and the multiple edge controllers feed back to the corresponding hyper-convergence unit to drive the local fan control loop to execute.

[0012] In the second aspect, an embodiment of the present invention provides a local fan remote control device based on edge computing, including a monitoring and control component, a communication transmission component, an edge computing and data acquisition preprocessing component, a data aggregation and protocol conversion component, and an analysis and decision-making component.

[0013] In some possible embodiments, the monitoring and control component, the edge computing and data acquisition preprocessing component, the data aggregation and protocol conversion component, and the analysis and decision-making component are respectively signal-connected to the communication transmission component.

[0014] The local fan remote control system and device based on edge computing according to the embodiment of the present invention have the following beneficial effects: The edge computing-based local fan remote control system and device of the embodiments of the present invention are used for remote control of mine local fans. This invention uses power cables for power supply and carrier communication, eliminating the need for control cables or communication cables in conventional PLC control or manual control loops. This allows for remote control of local fans without control cables, significantly reducing the construction cost of the local fan remote control system. It also forms a new edge control technology that can collect rich local fan status data and implement a new type of remote control. The present invention uses a variety of sensors to monitor the operating status of local fans in real time, accurately detect local fan motor overload, short circuit, phase loss, stall and other faults, and can generate a large amount of monitoring data at the same time, providing sufficient basic parameters for subsequent remote control of local fans. The edge controller performs edge computing on the large amount of collected data, which can achieve light overload and heavy overload protection for the local fan. At the same time, combined with the global control instructions generated by the server station, it finally carries a reverse carrier signal to enable multiple edge controllers to feed back to the corresponding hyper-convergence unit so that the hyper-convergence unit drives the local fan control loop to execute. For example, the hyper-convergence unit issues a control instruction to the circuit breaker in the local fan control loop, realizing a new type of remote control technology, which can replace the traditional control technology to control the circuit breaker and thermal relay to realize the local fan motor overload, short circuit, phase loss, stall and other fault protection methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of the structure of a local fan remote control system based on edge computing according to an embodiment of the present invention; Figure 2 This is a flow chart of a local fan remote control system based on edge computing according to an embodiment of the present invention; Figure 3 This is a structural diagram of a local fan remote control device based on edge computing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0017] Figure 1 This is a schematic diagram of the structure of a local fan remote control system based on edge computing according to an embodiment of the present invention; Figure 2 FIG is a flow chart of a local fan remote control system based on edge computing according to an embodiment of the present invention. Figure 1 and Figure 2 As shown, a local fan remote control system based on edge computing includes a monitoring and control module 101, a communication and transmission module 102, an edge computing and data acquisition preprocessing module 103, a data aggregation and protocol conversion module 104, and an analysis and decision module 105; the monitoring and control module 101 is used to monitor the local fan's own operating status in real time and generate multiple basic data; the communication and transmission module 102 is used to transmit data and control signals; the edge computing and data acquisition preprocessing module 103 is used to collect multiple basic data in real time and complete the cleaning, compression and preliminary analysis of the collected multiple basic data at the local node to form multiple preprocessed data, and at the same time perform edge computing on the preprocessed data, and output the edge computing results to the monitoring and control module 101, and the edge computing results are stored in the internal register for the data aggregation and protocol conversion module 104 to call; the data aggregation and protocol conversion module 104 is used to call multiple edge computing results, and at the same time, uniformly convert the multiple edge computing results into a cloud adaptation protocol and perform dynamic routing optimization; the analysis and decision module 105 is used to receive the multiple edge computing results processed by the data aggregation and protocol conversion module 104, synchronously integrate and store the data, and generate global control instructions.

[0018] Specifically, the above basic data include but are not limited to: local fan circuit ID number; circuit communication status; circuit breaker and other component status; motor status; temperature status; phase A current; phase B current; phase C current; average phase current; power factor; active power P; reactive power Q; apparent power S; load nature RT; active energy Ep; reactive energy Eq; apparent energy Es; neutral line current; phase A voltage U1; phase B voltage U2; phase C voltage U3; average phase voltage Unavg; line voltage U12; line voltage U23; line voltage U31; average line voltage Ull_avg; maximum phase A current; maximum phase B current; maximum phase C current; thermal capacity value, etc.

[0019] In some embodiments, as Figure 2As shown, the monitoring and control module 101 includes a voltage transformer, a current transformer, a differential pressure monitoring sensor, an air volume monitoring sensor, a vibration and temperature and humidity monitoring sensor, and a hyper-fusion unit. The voltage transformer, the current transformer, the differential pressure monitoring sensor, the air volume monitoring sensor, and the vibration and temperature and humidity monitoring sensor are respectively connected to the hyper-fusion unit through the communication transmission module 102 signal. The hyper-fusion unit is connected to the edge computing and data acquisition preprocessing module 103 through the communication transmission module 102 signal. Specifically, the voltage transformer is used to obtain the voltage signal. In some preferred embodiments, the voltage transformer can adopt the JDZW2-10R model voltage transformer produced by Hebei Zhonghu Transformer Co., Ltd. The current transformer is used to obtain the current signal. In some preferred embodiments, the current transformer can adopt the BH-0.66 series current transformer produced by Hangzhou Mei Electric Co., Ltd. The differential pressure monitoring sensor is used to monitor the pressure difference of the ventilation system and identify the leakage, blockage or system of the air duct. Resistance is abnormal to ensure ventilation efficiency. In some preferred embodiments, the differential pressure monitoring sensor can adopt the GPD5 mining differential pressure sensor produced by Xuzhou Zhituo Automation Co., Ltd., and the air volume monitoring sensor is used to directly measure the actual air volume in the air duct to ensure that the ventilation volume meets the standard and supports air volume-speed closed-loop control. In some preferred embodiments, the air volume monitoring sensor can adopt the HJ19-GFT6 air duct air volume switch sensor produced by Beijing Beixin Keyuan Instrument Co., Ltd., and the vibration and temperature and humidity monitoring sensor is used to comprehensively evaluate the mechanical health and environmental risks of the equipment to achieve predictive maintenance. In some preferred embodiments, the vibration and temperature and humidity monitoring sensor can adopt the vibration, temperature and voiceprint three-in-one monitoring sensor produced by Shandong Huake Information Technology Co., Ltd.; the hyper-fusion unit is used to organize the basic data generated by the above sensors; of course, the monitoring and control module 101 in this embodiment includes but is not limited to the above-mentioned multiple sensors, and the type and quantity of sensors can vary according to actual needs.

[0020] In some embodiments, the communication transmission module 102 includes a power cable, which is used to modulate the signals of the multiple basic data obtained after the monitoring and control module 101 generates multiple basic data, load the modulated signal on the current, generate a power carrier signal, and transmit the power carrier signal to the edge computing and data acquisition preprocessing module 103 through the power cable.

[0021] In some embodiments, as Figure 2 As shown, the edge computing and data acquisition preprocessing module 103 includes multiple edge controllers, which collect multiple basic data in real time and perform edge computing on multiple preprocessed data formed after cleaning, compression and preliminary analysis at the local node, and output the edge computing results to the monitoring and control module 101. The edge computing results are stored in internal registers for call by the data aggregation and protocol conversion module 104.

[0022] In some embodiments, as Figure 2 As shown, the data aggregation and protocol conversion module 104 includes a centralized controller, which receives multiple edge computing results from multiple edge controllers through the Modbus protocol and integrates and converts them into cloud adaptation protocols such as MQTT to support multiple network transmissions such as 5G and WiFi.

[0023] In some embodiments, as Figure 2 As shown, the analysis and decision module 105 includes a server station, which collects multiple edge computing results processed by the centralized controller, synchronously integrates the data, stores and analyzes them, and generates global control instructions based on the analysis results.

[0024] Specifically, the analysis result data includes but is not limited to: edge operation records: local operation of the circuit, remote control of the circuit, local closing of the automatic switch, local opening of the automatic switch, remote closing of the automatic switch, remote opening of the automatic switch, reset operation, clearing operation, external emergency stop operation; edge action records: automatic switch closing action, automatic switch opening action; edge protection records: thermal capacity protection, general overload protection, heavy overload protection, short circuit protection, contactor adhesion protection, rated overcurrent protection, three-phase imbalance alarm, three-phase imbalance protection, check main circuit protection, excessive loss of connection prompt, communication loss status, continuous communication loss, etc.; edge device manager: total number of automatic switch actions, total running time of the automatic switch, number of automatic switch set overload actions, number of automatic switch general overload actions, number of automatic switch heavy overload actions, number of automatic switch short circuit overload actions; edge power management: provide electricity statistics for each circuit for 12 consecutive months and cumulative electricity statistics for the circuit.

[0025] In some embodiments, as Figure 2 As shown, the global control instructions are gradually transmitted back to multiple edge controllers through the reverse carrier signal generated by the communication transmission module 102, and the multiple edge controllers feed back to the corresponding hyper-convergence units to drive the local fan control loop to execute.

[0026] The local fan remote control system based on edge computing according to the embodiment of the present invention has the following beneficial effects: The edge computing-based local fan remote control system of an embodiment of the present invention is used for remote control of mine local fans. This invention uses power cables for power supply and carrier communication, eliminating the need for control cables or communication cables in conventional PLC control or manual control loops. This allows for remote control of local fans without control cables, significantly reducing the construction cost of the local fan remote control system. It also forms a new edge control technology that can collect rich local fan status data and implement a new type of remote control. The present invention uses a variety of sensors to monitor the operating status of local fans in real time, accurately detect local fan motor overload, short circuit, phase loss, stall and other faults, and can generate a large amount of monitoring data at the same time, providing sufficient basic parameters for subsequent remote control of local fans. The edge controller performs edge computing on the large amount of collected data, which can achieve light overload and heavy overload protection for the local fan. At the same time, combined with the global control instructions generated by the server station, it finally carries a reverse carrier signal to enable multiple edge controllers to feed back to the corresponding hyper-convergence unit so that the hyper-convergence unit drives the local fan control loop to execute. For example, the hyper-convergence unit issues a control instruction to the circuit breaker in the local fan control loop, realizing a new type of remote control technology, which can replace the traditional control technology to control the circuit breaker and thermal relay to realize the local fan motor overload, short circuit, phase loss, stall and other fault protection methods.

[0027] Figure 3 FIG is a structural diagram of a local fan remote control device based on edge computing according to an embodiment of the present invention. Figure 3 As shown, a local fan remote control device based on edge computing includes a monitoring and control component 201, a communication transmission component 202, an edge computing and data acquisition preprocessing component 203, a data aggregation and protocol conversion component 204, and an analysis and decision component 205. The monitoring and control component 201, the edge computing and data acquisition preprocessing component 203, the data aggregation and protocol conversion component 204, and the analysis and decision component 205 are respectively connected to the communication transmission component 202. It should be noted that Figure 3 The components and structures of the local fan remote control device based on edge computing shown are merely exemplary and non-restrictive. The local fan remote control device based on edge computing may also have other components and structures as needed.

[0028] The monitoring and control component 201 may include a variety of monitoring components, including but not limited to a differential pressure monitoring sensor, an air volume monitoring sensor, a voltage transformer, a current transformer, a vibration and temperature and humidity monitoring sensor, and a hyper-fusion unit.

[0029] The edge computing and data acquisition preprocessing component 203 can collect multiple basic data in real time and perform edge computing on multiple preprocessed data formed after cleaning, compression and preliminary analysis at the local node, and output the edge computing results to the monitoring and control component 201. The edge computing results are stored in the internal register for call by the data aggregation and protocol conversion component 204, including but not limited to multiple edge controllers.

[0030] The data aggregation and protocol conversion component 204 includes but is not limited to multiple centralized controllers; it can receive multiple edge computing results from multiple edge controllers through the Modbus protocol and integrate them into cloud adaptation protocols such as MQTT to support multiple network transmissions such as 5G and WiFi.

[0031] The analysis and decision-making component 205 includes at least one server station, which collects multiple edge computing results processed by the centralized controller, synchronously integrates the data, stores and analyzes them, and generates global control instructions based on the analysis results.

[0032] The communication transmission component 202 can be used to transmit data and control signals, including but not limited to power cables.

[0033] The local fan remote control device based on edge computing according to the embodiment of the present invention has the following beneficial effects: The edge computing-based local fan remote control device of an embodiment of the present invention is used for remote control of mine local fans. This device uses power cables for power supply and carrier communication, eliminating the need for control cables or communication cables in conventional PLC control or manual control loops. This device implements a control loop for remotely controlling local fans without control cables, significantly reducing the construction cost of the local fan remote control system. It also forms a new edge control technology that can collect rich local fan status data and implement a new type of remote control. The present invention uses a variety of sensors to monitor the operating status of local fans in real time, accurately detect local fan motor overload, short circuit, phase loss, stall and other faults, and can generate a large amount of monitoring data at the same time, providing sufficient basic parameters for subsequent remote control of local fans. The edge controller performs edge computing on the large amount of collected data, which can achieve light overload and heavy overload protection for the local fan. At the same time, combined with the global control instructions generated by the server station, it finally carries a reverse carrier signal to enable multiple edge controllers to feed back to the corresponding hyper-convergence unit so that the hyper-convergence unit drives the local fan control loop to execute. For example, the hyper-convergence unit issues a control instruction to the circuit breaker in the local fan control loop, realizing a new type of remote control technology, which can replace the traditional control technology to control the circuit breaker and thermal relay to realize the local fan motor overload, short circuit, phase loss, stall and other fault protection methods.

[0034] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A local fan remote control system based on edge computing, characterized in that: It includes monitoring and control module, communication transmission module, edge computing and data acquisition preprocessing module, data aggregation and protocol conversion module, and analysis and decision-making module; The monitoring and control module is used to monitor the operating status of the local fan itself in real time and generate multiple basic data; The communication transmission module is used to transmit data and control signals; The edge computing and data acquisition preprocessing module is used to collect multiple basic data in real time and complete cleaning, compression and preliminary analysis of the collected multiple basic data at the local node to form multiple preprocessed data, and at the same time perform edge computing on the preprocessed data, and output the edge computing results to the monitoring control module. The edge computing results are stored in the internal register for the data aggregation and protocol conversion module to call; The data aggregation and protocol conversion module is used to call multiple edge computing results, and at the same time, uniformly convert the multiple edge computing results into a cloud adaptation protocol and perform dynamic routing optimization; The analysis and decision module is used to receive the multiple edge computing results processed by the data aggregation and protocol conversion module, synchronously integrate the data, store and analyze them, and generate global control instructions.

2. The local fan remote control system based on edge computing according to claim 1 is characterized in that: The monitoring and control module includes a voltage transformer, a current transformer, a differential pressure monitoring sensor, an air volume monitoring sensor, a vibration and temperature and humidity monitoring sensor, and a hyper-fusion unit. The voltage transformer, the current transformer, the differential pressure monitoring sensor, the air volume monitoring sensor, and the vibration and temperature and humidity monitoring sensor are respectively connected to the hyper-fusion unit through the communication transmission module signal, and the hyper-fusion unit is connected to the edge computing and data acquisition preprocessing module through the communication transmission module signal.

3. The local fan remote control system based on edge computing according to claim 1 is characterized in that: The communication transmission module includes a power cable, which is used to modulate the signals of the multiple basic data obtained after the monitoring and control module generates multiple basic data, load the modulated signals on the current to generate a power carrier signal, and transmit the power carrier signal to the edge computing and data acquisition preprocessing module through the power cable.

4. The local fan remote control system based on edge computing according to claim 1 is characterized in that: The edge computing and data acquisition preprocessing module includes multiple edge controllers, which collect multiple basic data in real time and perform edge computing on the multiple preprocessed data formed after cleaning, compression and preliminary analysis at the local node, and output the edge computing results to the monitoring and control module. The edge computing results are stored in internal registers for call by the data aggregation and protocol conversion module.

5. The local fan remote control system based on edge computing according to claim 4 is characterized in that: The data aggregation and protocol conversion module includes a centralized controller, which receives multiple edge computing results from multiple edge controllers through the Modbus protocol and converts them into an MQTT cloud adaptation protocol to support multiple network transmissions of 5G and WiFi.

6. The local fan remote control system based on edge computing according to claim 5 is characterized in that: The analysis and decision-making module includes a server station, which collects multiple edge computing results processed by the centralized controller, synchronously integrates the data, stores and analyzes them, and generates the global control instructions according to the analysis results.

7. The local fan remote control system based on edge computing according to claim 4 is characterized in that: The global control instruction is gradually transmitted back to the plurality of edge controllers through the reverse carrier signal generated by the communication transmission module, and the plurality of edge controllers feed back to the corresponding hyper-convergence unit to drive the local fan control loop to execute.

8. A local fan remote control device based on edge computing, characterized in that: It includes monitoring and control components, communication and transmission components, edge computing and data acquisition preprocessing components, data aggregation and protocol conversion components, and analysis and decision-making components.

9. The local fan remote control device based on edge computing according to claim 8, characterized in that: The monitoring and control component, the edge computing and data acquisition preprocessing component, the data aggregation and protocol conversion component, and the analysis and decision-making component are respectively connected to the communication transmission component by signal.

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