A 5G remote charging equipment data monitoring and parameter regulation system and method

Abstract

This invention discloses a 5G-based remote data monitoring and parameter control system and method for explosive loading equipment. The system includes: a field perception layer, a data transmission layer, a remote control layer, and an execution control layer. The field perception layer includes flow sensors, pressure sensors, temperature sensors, position sensors, speed sensors, a Beidou positioning module, and a camera installed on the explosive loading equipment. These sensors are used to collect data on latex matrix flow rate, sensitizer flow rate, delivery pressure, matrix temperature, hydraulic oil temperature, explosive loading height, delivery pump speed, equipment location, and on-site environmental imagery. This invention achieves remote real-time monitoring and parameter control through 5G communication technology, integrating high-precision data acquisition, rapid data transmission, intelligent data analysis, and precise execution control. It solves many shortcomings of traditional explosive loading equipment, improves explosive loading efficiency, blasting effect, and intrinsic safety level, and provides strong technical support for the construction of smart open-pit mines.

Description

Technical Field

[0001] This invention relates to the field of intelligent loading technology for on-site mixed emulsion explosives vehicles, and in particular to a data monitoring and parameter control system and method for 5G-based remote loading equipment. Background Technology

[0002] In open-pit mine blasting operations, the on-site mixing emulsion explosive truck is one of the core pieces of equipment. Traditional on-site mixing explosive trucks suffer from problems such as high reliance on manual labor, low loading efficiency, and lack of real-time parameter monitoring: they require manual pulling of the loading hose and operation of valves by pressing buttons, resulting in high labor intensity; the loading radius is small, and the vehicle moves frequently; it is impossible to accurately sense parameters such as loading height and density, making it difficult to ensure loading quality; and the loading density cannot be intelligently adjusted according to the explosiveness of the rock, affecting the blasting effect.

[0003] In existing technologies, some charging equipment attempts to incorporate remote control functionality, but these suffer from drawbacks such as data transmission latency, limited monitoring parameters, and low control precision, making it difficult to meet the requirements of intelligent construction across the entire production chain in smart mines. With the development of 5G communication technology, its high speed, low latency, and wide connectivity make precise monitoring and control of remote charging equipment possible. Therefore, there is an urgent need to develop a 5G-based remote charging equipment data monitoring and parameter control system and method to achieve intelligent management and control of the entire charging process. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies by proposing a data monitoring and parameter control system and method for 5G-based remote drug delivery equipment.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A 5G-based remote drug delivery equipment data monitoring and parameter control system includes: a field perception layer, a data transmission layer, a remote control layer, and an execution control layer; The field perception layer includes flow sensors, pressure sensors, temperature sensors, position sensors, speed sensors, Beidou positioning modules, and cameras installed on the loading equipment. These are used to collect data on latex matrix flow rate, sensitizer flow rate, delivery pressure, matrix temperature, hydraulic oil temperature, loading height, delivery pump speed, equipment location, and field environment image data. The data transmission layer includes a 4G IoT gateway, a 5G communication module, and a cloud service center. The data collected by the field perception layer is aggregated by the 4G IoT gateway and then transmitted to the cloud service center through the 5G communication module to realize remote real-time data uploading. The remote control layer includes a PC client, a mobile device, and a data processing unit. The data processing unit parses, stores, statistically analyzes, and diagnoses faults on the data received from the cloud service center. The PC client and mobile device are used to display the device's operating status, parameter data, alarm information, and on-site images, and support remote parameter setting and control command issuance. The execution control layer includes a PLC controller, an electro-hydraulic proportional control system, a delivery pump drive module, a telescopic arm control module, and a sensitizer flow regulation module. The PLC controller receives control commands from the remote control layer, regulates the pressure and flow of the hydraulic system through the electro-hydraulic proportional control system, adjusts the speed of the delivery pump through the delivery pump drive module, realizes the extension, rotation, and orifice alignment of the telescopic arm through the telescopic arm control module, and adjusts the sensitizer delivery flow through the sensitizer flow regulation module.

[0006] Preferably, the flow sensor includes a high-precision electromagnetic flow meter, an ultrasonic high-viscosity material flow meter, and a mass flow meter, which are used to detect the flow rate of sensitizer, latex matrix, and catalyst, respectively, with a measurement accuracy of not less than 0.5%.

[0007] Preferably, the field perception layer also includes fault detection sensors for detecting signals of overpressure, overtemperature, material shortage, pump stall, sensitizer flow interruption, and hydraulic valve group faults, and uploading them to the remote control layer in real time.

[0008] Preferably, the remote control layer is also equipped with an alarm module. When the detected parameters exceed the preset threshold or the equipment malfunctions, alarm information is sent to the management personnel via SMS, WeChat and APP push, and the on-site equipment's audible and visual alarms are triggered at the same time.

[0009] Preferably, the execution control layer also includes a safety interlock module, which automatically shuts down the relevant equipment and locks the operating permissions in case of emergencies such as limit switches or major faults, until the fault is resolved.

[0010] Preferably, the telescopic arm control module supports 270° rotation in a plane and remote hole finding and alignment control within a 15-meter range. The hole alignment mechanism can achieve ±90° bending adjustment and, in conjunction with the position sensor, achieves precise hole alignment.

[0011] An operation method for a 5G-based remote drug loading equipment data monitoring and parameter control system includes the following steps: S1: Data acquisition, real-time acquisition of data such as latex matrix flow rate, sensitizer flow rate, conveying pressure, matrix temperature, charge height, explosive density, conveying pump speed, equipment location and on-site environmental images through various sensors in the field perception layer, and acquisition of equipment fault signals; S2: Data transmission. The data collected in S1 is aggregated by the 4G IoT gateway and then transmitted to the cloud service center via the 5G communication module. The cloud service center classifies, stores, and converts the data to ensure the real-time performance and integrity of the data transmission. S3: Analysis and Decision Making. The data processing unit of the remote control layer parses the data received by the cloud service center, compares it with the preset parameter thresholds, analyzes the loading parameters and equipment operating status, generates control commands if there are parameter deviations, and triggers alarms and generates fault handling suggestions if a fault is detected. S4: Execution feedback. The PLC controller of the execution control layer receives the control instructions in S3 and adjusts parameters such as charge density, delivery speed, and telescopic arm position through the electro-hydraulic proportional control system, delivery pump drive module, and sensitizer flow regulation module. At the same time, it transmits the adjusted equipment status and parameter data back to the remote control layer to form a closed-loop control.

[0012] Preferably, in step S3, the control command includes adjusting the sensitizer flow rate according to the rock explosiveness to change the charge density, so that the explosive detonation velocity is precisely matched with the energy required by the rock, and the charge density adjustment range is 1.05 g / cm³ to 1.20 g / cm³.

[0013] Compared with the prior art, the beneficial effects of the present invention are: 1. In this invention, remote real-time monitoring and parameter control are achieved through 5G communication technology, which solves the problem of high manual dependence of traditional loading equipment. The number of operators is reduced from 6 to 1, saving 83% of labor and significantly reducing labor intensity and safety risks. 2. In this invention, multiple high-precision sensors and detection devices are integrated to achieve real-time acquisition and precise control of parameters such as charge height, density, flow rate, and pressure. The charge density can be intelligently adjusted according to the explosiveness of the rock, reducing the single consumption of explosives by 25% and increasing the blasting volume per meter by 13%, thereby improving the blasting effect. 3. This invention has intelligent equipment fault diagnosis and alarm functions, which can promptly detect and handle equipment faults, reduce downtime, and improve equipment operation stability; 4. This invention supports remote viewing of historical data and statistical analysis, providing data support for blasting scheme optimization, promoting the intelligent construction of the entire production chain of open-pit smart mines, filling relevant technological gaps, and has broad application prospects. Attached Figure Description

[0014] Figure 1 This is a block diagram of a 5G-based remote drug delivery equipment data monitoring and parameter control system proposed in this invention. Figure 2 This is a flowchart of a method for a 5G-based remote drug loading equipment data monitoring and parameter control system proposed in this invention. Detailed Implementation

[0015] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0016] Reference Figure 1 A 5G-based remote drug delivery equipment data monitoring and parameter control system includes: a field perception layer, a data transmission layer, a remote control layer, and an execution control layer; The field perception layer includes flow sensors, pressure sensors, temperature sensors, position sensors, speed sensors, Beidou positioning modules, and cameras installed on the loading equipment. These are used to collect data on latex matrix flow rate, sensitizer flow rate, delivery pressure, matrix temperature, hydraulic oil temperature, loading height, delivery pump speed, equipment location, and field environment image data. The data transmission layer includes a 4G IoT gateway, a 5G communication module, and a cloud service center. Data collected by the field perception layer is aggregated by the 4G IoT gateway and then transmitted to the cloud service center through the 5G communication module, enabling remote real-time data uploading. The remote control layer includes a PC client, a mobile device, and a data processing unit. The data processing unit parses, stores, statistically analyzes, and diagnoses faults on the data received from the cloud service center. The PC client and mobile device are used to display the equipment's operating status, parameter data, alarm information, and on-site images, and support remote parameter setting and control command issuance. The execution control layer includes a PLC controller, an electro-hydraulic proportional control system, a delivery pump drive module, a telescopic boom control module, and a sensitizer flow regulation module. The PLC controller receives control commands from the remote control layer, regulates the hydraulic system pressure and flow through the electro-hydraulic proportional control system, adjusts the delivery pump speed through the delivery pump drive module, realizes the extension, rotation, and orifice alignment of the telescopic boom through the telescopic boom control module, and adjusts the sensitizer delivery flow through the sensitizer flow regulation module.

[0017] The flow sensors include high-precision electromagnetic flow meters, ultrasonic high-viscosity material flow meters, and mass flow meters, which are used to detect the flow rate of sensitizers, latex matrix, and catalysts, respectively, with a measurement accuracy of not less than 0.5%.

[0018] The field perception layer also includes fault detection sensors, which are used to detect signals of overpressure, overtemperature, material shortage, pump stall, sensitizer flow interruption, and hydraulic valve group faults, and upload them to the remote control layer in real time.

[0019] The remote control layer is also equipped with an alarm module. When parameters exceed preset thresholds or equipment malfunctions are detected, alarm information is sent to management personnel via SMS, WeChat, and APP push, and the on-site equipment's audible and visual alarms are triggered simultaneously.

[0020] The control layer also includes a safety interlock module, which automatically shuts down the relevant equipment and locks the operating permissions in case of emergencies such as limit switches or major faults, until the fault is resolved.

[0021] The telescopic arm control module supports 270° rotation in a plane and remote hole finding and alignment control within a 15-meter range. The hole alignment mechanism can achieve ±90° bending adjustment and, in conjunction with the position sensor, achieves precise hole alignment.

[0022] Reference Figure 2 An operation method for a 5G-based remote drug loading equipment data monitoring and parameter control system includes the following steps: S1: Data acquisition, real-time acquisition of data such as latex matrix flow rate, sensitizer flow rate, conveying pressure, matrix temperature, charge height, explosive density, conveying pump speed, equipment location and on-site environmental images through various sensors in the field perception layer, and acquisition of equipment fault signals; S2: Data transmission. The data collected in S1 is aggregated by the 4G IoT gateway and then transmitted to the cloud service center via the 5G communication module. The cloud service center classifies, stores, and converts the data to ensure the real-time performance and integrity of the data transmission. S3: Analysis and Decision Making. The data processing unit of the remote control layer parses the data received by the cloud service center, compares it with the preset parameter thresholds, analyzes the loading parameters and equipment operating status, generates control commands if there are parameter deviations, and triggers alarms and generates fault handling suggestions if a fault is detected. S4: Execution feedback. The PLC controller of the execution control layer receives the control instructions in S3 and adjusts parameters such as charge density, delivery speed, and telescopic arm position through the electro-hydraulic proportional control system, delivery pump drive module, and sensitizer flow regulation module. At the same time, it transmits the adjusted equipment status and parameter data back to the remote control layer to form a closed-loop control.

[0023] In step S3, the control instructions include adjusting the sensitizer flow rate according to the explosiveness of the rock to change the charge density, so that the explosive detonation velocity is precisely matched with the energy required by the rock, and the charge density adjustment range is 1.05 g / cm³ to 1.20 g / cm³.

[0024] The flow sensors in the field sensing layer employ high-precision electromagnetic flow meters, ultrasonic high-viscosity material flow meters, and mass flow meters, with measurement accuracy reaching 0.25%~0.5 grade, respectively detecting the flow rates of sensitizers, latex matrices, and catalysts; the pressure sensor has a range of 0~10MPa, the temperature sensor has a measurement range of -20℃~120℃, and the position sensor has an accuracy of ±1cm, ensuring data acquisition accuracy.

[0025] The data transmission layer adopts an industrial-grade 5G communication module, supports SA / NSA dual-mode networking, with a data transmission rate of ≥100Mbps and a latency of ≤20ms. It works with a 4G IoT gateway to achieve redundant data transmission, ensuring the stability and reliability of data transmission. The cloud service center adopts a distributed storage architecture, supporting massive data storage and fast retrieval.

[0026] The PC client and mobile device terminals of the remote management layer support functions such as real-time data monitoring, historical data query, parameter setting, and alarm viewing. The data processing unit adopts a combination of edge computing and cloud computing to achieve rapid data analysis and fault diagnosis. The alarm module can set multiple alarm thresholds and remind managers through various means such as SMS, WeChat, APP push and on-site audible and visual alarms.

[0027] The PLC controller of the control layer adopts an industrial-grade high-performance controller, which supports multi-protocol communication and high-speed operation; the electro-hydraulic proportional control system has a control accuracy of ±1%; the telescopic arm control module supports 270° rotation in the plane and precise hole alignment within a 15-meter range; the hole alignment mechanism can achieve ±90° bending adjustment; and with the adjustment of the drum winding and unwinding speed, it ensures that the delivery tube feeding, unwinding and telescopic arm movements are synchronized, the loading efficiency is controlled at 70kg / min~150kg / min, and the detonation velocity is ≥4000m / s.

[0028] S1: Data Acquisition. After the loading equipment is started, various sensors in the field sensing layer collect data in real time, including latex matrix flow rate, sensitizer flow rate, conveying pressure, matrix temperature, loading height, explosive density, conveying pump speed, equipment location, and on-site environmental images. Fault detection sensors monitor the equipment's operating status in real time and collect fault signals such as overpressure, overtemperature, and material shortage. S2: Data Transmission. The collected data is aggregated by a 4G IoT gateway and then transmitted to the cloud service center via a 5G communication module. The cloud service center classifies and stores the data, converts the format (from analog to digital signals), and performs data verification and anomaly filtering to ensure data integrity. S3: Analysis and Decision-Making. The data processing unit in the remote control layer parses the received data and compares real-time parameters with preset thresholds (such as loading density 1). The system compares parameters such as sensitizer flow rate (0.05 g / cm³~1.20 g / cm³, matrix temperature ≤80℃, etc.). If a deviation in sensitizer flow rate is found to cause the charge density to fail to meet requirements, a sensitizer flow rate adjustment command is generated. If an overpressure fault is detected during delivery, an alarm is triggered and fault handling suggestions are generated. Managers can view relevant information and confirm the command through a PC client or mobile device. S4: Execution feedback. After receiving the control command, the PLC controller adjusts the sensitizer delivery flow rate through the sensitizer flow rate adjustment module to achieve precise control of charge density. At the same time, the adjusted sensitizer flow rate, charge density, and other parameters, as well as the equipment operating status, are transmitted back to the remote control layer. The data processing unit evaluates the adjustment effect. If the parameters still do not meet the requirements, control commands are generated again until the parameters meet the requirements, forming a closed-loop control.

[0029] This invention enables remote real-time monitoring and parameter control through 5G communication technology. It integrates high-precision data acquisition, rapid data transmission, intelligent data analysis, and precise execution control, solving many defects of traditional charging equipment, improving charging efficiency, blasting effect, and intrinsic safety level. It provides strong technical support for the construction of open-pit smart mines and has significant value for promotion and application.

[0030] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A data monitoring and parameter control system for 5G-based remote drug delivery equipment, characterized in that, include: The system comprises: a field perception layer, a data transmission layer, a remote control layer, and an execution and regulation layer. The field perception layer includes flow sensors, pressure sensors, temperature sensors, position sensors, speed sensors, Beidou positioning modules, and cameras installed on the loading equipment. These are used to collect data on latex matrix flow rate, sensitizer flow rate, delivery pressure, matrix temperature, hydraulic oil temperature, loading height, delivery pump speed, equipment location, and field environment image data. The data transmission layer includes a 4G IoT gateway, a 5G communication module, and a cloud service center. The data collected by the field perception layer is aggregated by the 4G IoT gateway and then transmitted to the cloud service center through the 5G communication module to realize remote real-time data uploading. The remote control layer includes a PC client, a mobile device, and a data processing unit. The data processing unit parses, stores, statistically analyzes, and diagnoses faults on the data received from the cloud service center. The PC client and mobile device are used to display the device's operating status, parameter data, alarm information, and on-site images, and support remote parameter setting and control command issuance. The execution control layer includes a PLC controller, an electro-hydraulic proportional control system, a delivery pump drive module, a telescopic arm control module, and a sensitizer flow regulation module. The PLC controller receives control commands from the remote control layer, regulates the pressure and flow of the hydraulic system through the electro-hydraulic proportional control system, adjusts the speed of the delivery pump through the delivery pump drive module, realizes the extension, rotation, and orifice alignment of the telescopic arm through the telescopic arm control module, and adjusts the sensitizer delivery flow through the sensitizer flow regulation module.

2. The data monitoring and parameter control system for 5G-based remote drug loading equipment according to claim 1, characterized in that, The flow sensors include a high-precision electromagnetic flow meter, an ultrasonic high-viscosity material flow meter, and a mass flow meter, which are used to detect the flow rate of sensitizer, latex matrix, and catalyst, respectively, with a measurement accuracy of not less than 0.5%.

3. The data monitoring and parameter control system for 5G-based remote drug delivery equipment according to claim 1, characterized in that, The field perception layer also includes fault detection sensors, which are used to detect signals of overpressure, overtemperature, material shortage, pump stall, sensitizer flow interruption, and hydraulic valve group faults, and upload them to the remote control layer in real time.

4. The data monitoring and parameter control system for 5G-based remote drug delivery equipment according to claim 1, characterized in that, The remote control layer is also equipped with an alarm module. When the detected parameters exceed the preset threshold or the equipment malfunctions, alarm information is sent to the management personnel via SMS, WeChat and APP push, and the on-site equipment's audible and visual alarms are triggered at the same time.

5. The data monitoring and parameter control system for 5G-based remote drug delivery equipment according to claim 1, characterized in that, The execution control layer also includes a safety interlock module, which automatically shuts down the relevant equipment and locks the operation permissions in case of emergencies such as limit switches or major faults, until the fault is resolved.

6. The data monitoring and parameter control system for 5G-based remote drug delivery equipment according to claim 1, characterized in that, The telescopic arm control module supports 270° rotation in a plane and remote hole finding and alignment control within a 15-meter range. The hole alignment mechanism can achieve ±90° bending adjustment and, in conjunction with the position sensor, achieves precise hole alignment.

7. An operation method for the 5G-based remote drug loading equipment data monitoring and parameter control system as described in claims 1-6, characterized in that, Includes the following steps: S1: Data acquisition, real-time acquisition of data such as latex matrix flow rate, sensitizer flow rate, conveying pressure, matrix temperature, charge height, explosive density, conveying pump speed, equipment location and on-site environmental images through various sensors in the field perception layer, and acquisition of equipment fault signals; S2: Data transmission. The data collected in S1 is aggregated by the 4G IoT gateway and then transmitted to the cloud service center via the 5G communication module. The cloud service center classifies, stores, and converts the data to ensure the real-time performance and integrity of the data transmission. S3: Analysis and Decision Making. The data processing unit of the remote control layer parses the data received by the cloud service center, compares it with the preset parameter thresholds, analyzes the loading parameters and equipment operating status, generates control commands if there are parameter deviations, and triggers alarms and generates fault handling suggestions if a fault is detected. S4: Execution feedback. The PLC controller of the execution control layer receives the control instructions in S3 and adjusts parameters such as charge density, delivery speed, and telescopic arm position through the electro-hydraulic proportional control system, delivery pump drive module, and sensitizer flow regulation module. At the same time, it transmits the adjusted equipment status and parameter data back to the remote control layer to form a closed-loop control.

8. The operation method of the 5G-based remote drug loading equipment data monitoring and parameter control system according to claim 7, characterized in that, In step S3, the control command includes adjusting the sensitizer flow rate according to the explosiveness of the rock to change the charge density, so that the explosive detonation velocity is precisely matched with the energy required by the rock, and the charge density adjustment range is 1.05 g / cm³ to 1.20 g / cm³.

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