Perlite air conveying system for emulsion explosive production line

Abstract

The invention relates to the field of perlite conveying, and discloses a perlite air conveying system for an emulsion explosive production line. The system comprises a transmission data acquisition module, a transmission data processing module, a transmission state analysis module, an equipment operation data acquisition module, an equipment operation state analysis module, a transmission safety detection module, a transmission speed adjustment module and an early warning feedback module. According to the method, whether explosion propagation risks exist or not is detected by analyzing the collected operation data of the fan equipment, so that whether the fan equipment has safety risks or not is detected, conveying monitoring sections with the safety risks are screened out on the basis of analysis of conveying analysis and equipment analysis results, and the conveying monitoring sections with the safety risks are independently adjusted; according to the invention, segmented monitoring and acquisition of perlite conveying production data are facilitated, safety risks during conveying can be accurately detected as soon as possible, and the safety and stability of a conveying system are improved.

Description

Technical Field

[0001] The invention relates to the technical field of perlite transportation, and more specifically to a perlite pneumatic transportation system for an emulsion explosive production line. Background Art

[0002] With the improvement of automation and intelligence level of emulsion explosive production line, and increasingly stringent requirements for production safety and environmental protection, traditional perlite transportation methods have gradually exposed some problems. For example, manual transportation is not only inefficient, but also has safety hazards; and some mechanical transportation methods may not be suitable for emulsion explosive production line due to complex equipment and high maintenance costs; therefore, pneumatic transportation system came into being, usually including key components such as storage tanks, feed pipelines, and fans. Storage tanks are used to store perlite raw materials, and feed pipelines are responsible for transporting perlite from storage tanks to designated locations on the production line. Through information technology, remote monitoring and early warning can be achieved; However, the above process still has the following disadvantages: First, the existing pneumatic conveying system has a relatively simple pipeline monitoring process during the conveying process, and lacks segmented monitoring of the conveying pipeline, resulting in inaccurate monitoring of the conveying data in the conveying pipeline, which often leads to errors in the monitoring process; Second, the existing wind conveying system lacks specific segmented safety risk analysis from the two aspects of conveying status and fan equipment operation, and is unable to accurately and early detect safety risks during transportation. It also lacks automatic segmented adjustment of the conveying speed based on the analysis results of safety risks, and is unable to intelligently improve the safety and stability of the conveying system, which leads to optimization of production efficiency and increased costs. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a perlite pneumatic conveying system for an emulsion explosive production line to solve the problems existing in the above-mentioned background technology.

[0004] The present invention provides the following technical solution: a perlite pneumatic conveying system for an emulsion explosive production line, comprising: Transportation data acquisition module: by dividing the transportation pipeline into several transportation monitoring sections, the perlite transportation production data can be monitored and collected in sections; Transportation data processing module: It processes the transportation production data of each transportation monitoring section during the perlite transportation process, including pressure processing unit, flow processing unit and temperature processing unit; Transportation status analysis module: Based on the transportation status risk analysis of the processed transportation production data, the transportation status risk assessment index is obtained to detect whether there is an explosion risk; Equipment operation data acquisition module: used for real-time monitoring and acquisition of fan equipment operation data during perlite transportation; Equipment operation status analysis module: By analyzing the operation status data of the fan equipment during the perlite transportation process, the equipment safety risk assessment index is obtained to detect whether there is a safety risk during the operation of the fan equipment; Transportation safety detection module: used to analyze the results of transportation status risk and equipment operation status risk, calculate the safety detection coefficient, and screen out all transportation monitoring sections with safety risks; Conveying speed adjustment module: The conveying speed of the conveying monitoring section with safety risks is adjusted separately through the conveying safety detection coefficient; Early warning feedback module: automatically generates a monitoring report based on the monitoring results of the entire transportation monitoring process, and sends the monitoring report to the management personnel terminal.

[0005] Preferably, the specific collection method of the transport data collection module is: According to the overall layout of the production line, the conveying pipeline is divided into several conveying monitoring sections. Based on the actual conveying demand of perlite, the length of each conveying monitoring section is set, and the divided conveying monitoring sections are numbered in sequence according to the order in which the perlite is blown into. They are numbered 1, 2, 3, ... n respectively, and then corresponding sensors are installed in each conveying monitoring section to monitor and collect the conveying operation data of each conveying monitoring section in real time, and the conveying operation data includes the flow rate, pressure and temperature of the perlite.

[0006] Preferably, the transport data processing module collects the pressure data of each transport monitoring section within a period of time through the pressure processing unit, and processes and analyzes the pressure change data of each transport monitoring section to calculate the pressure fluctuation value. , thereby monitoring the pressure changes of each transmission monitoring section over a period of time, and distinguishing abnormally high-pressure areas from low-pressure areas; The flow processing unit collects the perlite gas flow data of each transport monitoring section within a period of time, processes and analyzes the flow change data of each transport monitoring section, and calculates the flow stability value , so as to monitor the fluctuation of the perlite gas blowing flow rate in each transmission monitoring section within a period of time, and to detect whether the flow fluctuation is too large; The temperature processing unit collects the temperature data of each transport monitoring section and the external environment temperature data within a period of time, processes and analyzes the temperature data of each transport monitoring section and the external environment temperature data, and calculates the temperature change rate , thereby monitoring the temperature change trend of each conveying monitoring section within a period of time, and detecting whether there is an abnormal temperature area.

[0007] Preferably, the delivery state analysis module is based on the analyzed pressure fluctuation value , flow stability value And the temperature change rate Comprehensive analysis is performed and the transport status risk assessment index is calculated as ,in, represents the transport status risk assessment index of the i-th transport monitoring section, is the weight coefficient, and the specific value is set by the management personnel based on experience; By setting a transport status risk threshold , the transport status risk assessment index Risk threshold for transport status The comparison is used to determine whether there is an explosion risk in the transport monitoring section; if the transport status risk assessment index Transport status risk threshold , it is considered that there is no explosion risk in the transport monitoring section, and the transport status of the transport monitoring section will continue to be monitored. If the transport status risk assessment index Transport status risk threshold , it is considered that there is an explosion risk in the transportation monitoring section, and the analysis results of the transportation status are immediately transmitted to the transportation safety detection module.

[0008] Preferably, the equipment operation data acquisition module collects the fan speed, fan bearing vibration frequency, motor winding temperature, bearing temperature, cooling medium temperature, motor current and power in real time through the speed sensor, vibration sensor, temperature sensor, current sensor and power sensor inside the fan equipment, and uses the programmable logic controller as the core of data acquisition, connected to various sensor interfaces to execute the data acquisition program, set a fixed acquisition cycle to automatically collect data, and input the collected equipment operation status data into the computer terminal through the wireless network.

[0009] Preferably, the equipment operation status analysis module pre-processes the collected wind turbine equipment operation status data, and the specific operation process of the pre-processing includes: data cleaning, data conversion and data integration, and then comprehensively analyzes the pre-processed wind turbine equipment operation status data, and calculates the equipment safety risk assessment index, and monitors the safety risks of the equipment during operation in real time through the equipment safety risk assessment index; The specific analysis method of the equipment safety risk assessment index is as follows: Step S511: Calculate the deviation ratio of each pre-processed equipment operating parameter, including the fan speed, fan bearing vibration frequency, motor winding temperature, bearing temperature, cooling medium temperature, motor current and power. The specific calculation formula is: ,in, represents the deviation ratio of the kth device operating parameter, represents the actual measured value of the kth device operating parameter, represents the minimum permissible value of the kth device operating parameter, represents the maximum permissible value of the kth device operating parameter; Step S512: By comprehensively analyzing the deviation ratio of each equipment operating parameter, the equipment safety risk assessment index is calculated as ,in, represents the equipment safety risk assessment index of the i-th transmission monitoring section, and K represents the total number of equipment operating parameters collected; By setting a device security risk threshold , the equipment safety risk assessment index Q and the equipment safety risk threshold The comparison is used to determine whether there is a safety risk during the operation of the fan equipment; if the equipment safety risk assessment index Q Device security risk threshold , it is considered that there is no safety risk in the operation status of the equipment during the perlite transportation process, and the equipment operation status will continue to be monitored. If the equipment safety risk assessment index Q Device security risk threshold , it is considered that there is a safety risk in the operation status of the fan equipment, and the analysis results of the equipment operation status are immediately transmitted to the transportation safety detection module.

[0010] Preferably, the transportation safety detection module is used to receive the analysis results of the transportation status and the analysis results of the equipment operation status. When the analysis results of the transportation risk and the equipment operation risk are received, the safety of each transportation monitoring section in the transportation process of the perlite is immediately comprehensively analyzed and detected, and all transportation monitoring sections with safety risks are screened out; The specific calculation formula of the safety detection coefficient is: ,in, represents the safety detection coefficient calculated for the i-th transport monitoring section, represents the transport status risk assessment index of the i-th transport monitoring section, represents the equipment safety risk assessment index of the i-th transmission monitoring section, Indicates the transport status risk threshold, represents the equipment safety risk threshold, a represents the proportional constant, and e represents the constant; Pass safety test factor With safety threshold By comparison, if the safety detection factor Safety threshold , it is considered that there is no safety risk in the transportation of perlite. If the safety detection coefficient Safety threshold , it is considered that there is a safety risk in the transportation of perlite, and all monitoring sections detected to have safety risks are screened out and marked.

[0011] Preferably, the conveying speed adjustment module determines the risk level of the monitoring section marked as having safety risks according to the safety detection coefficient value, including low risk, medium risk and high risk, and slightly reduces the conveying speed of the low-risk conveying monitoring section, moderately reduces the conveying speed of the medium-risk conveying monitoring section, and suspends the conveying speed of the high-risk conveying monitoring section; and calculates the new conveying speed according to the risk level to formulate a conveying speed adjustment strategy, and its specific calculation formula is: ,in, represents the new conveying speed of the conveying monitoring section, v represents the current conveying speed of the conveying monitoring section, represents the adjustment factor, and The specific value is adjusted according to the safety detection coefficient value.

[0012] Preferably, the early warning feedback module automatically generates a monitoring report through the safety risk monitoring results of the conveying status and equipment operation status of each conveying monitoring section, and issues early warning prompts for the monitoring sections marked with safety risks, thereby prompting the management personnel to perform maintenance operations on them. At the same time, the speed reduction adjustment results are displayed to the management personnel terminal in a visual manner.

[0013] Technical effects and advantages of the present invention: The present invention divides the conveying pipeline into several conveying monitoring sections through the conveying data acquisition module to monitor and collect the perlite conveying production data in sections. The conveying data processing module processes and analyzes the conveying production data of each conveying monitoring section in the perlite conveying process by the pressure processing unit, the flow processing unit and the temperature processing unit. The various production data in the perlite conveying process can be efficiently processed, which helps to improve the availability and accuracy of the data. The conveying state analysis module performs a conveying state risk analysis on the processed conveying production data to detect whether there is an explosion risk. The equipment operation data acquisition module monitors and collects the operation data of the fan equipment during the perlite conveying in real time to the equipment operation state analysis module to analyze the operation state data of the fan equipment in the perlite conveying process to detect whether there is a safety risk when the fan equipment is running. The conveying safety detection module analyzes the conveying state risk and the equipment operation state risk. The safety detection coefficient is obtained based on the analysis results, and all the transportation monitoring sections with safety risks are screened out. The transportation speed of the transportation monitoring sections with safety risks is adjusted separately through the transportation speed adjustment module. The early warning feedback module automatically generates a monitoring report based on the monitoring results of the entire transportation monitoring process, and sends the monitoring report to the management terminal; by dividing the transportation pipeline into several transportation monitoring sections, the segmented monitoring and collection of perlite transportation production data can be realized, which is conducive to improving the accuracy and pertinence of data collection and monitoring, and providing a solid foundation for subsequent data processing and analysis; by conducting specific segmented safety risk analysis from the two aspects of transportation status and fan equipment operation, the safety risks during transportation can be accurately and early detected, and the transportation speed can be automatically adjusted in segments according to the analysis results of the safety risks, which is conducive to intelligently improving the safety and stability of the transportation system, thereby further improving production efficiency and reducing production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a system structure block diagram of the present invention.

[0015] Figure 2 2 is a diagram of the method steps in this embodiment.

[0016] Figure 3 Schematic diagram of the structure of the conveying system in this embodiment.

[0017] The numbers in the figure represent: 1. First dust collector; 2. Dust removal system for feeding operation; 3. Feeder; 4. Positive pressure feeding pipe; 5. Air volume detection; 6. Separator; 7. Temporary storage tank; 8. Material level switch; 9. Feeder for material falling flow control; 10. Material guide pipe; 11. Second dust collector; 12. Automatic feeding dust collection system. DETAILED DESCRIPTION

[0018] The technical scheme of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures described in the following embodiments are only examples. The perlite pneumatic conveying system for the emulsion explosive production line involved in the present invention is not limited to the various structures described in the following embodiments. All other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0019] like Figure 1 The embodiment shown provides a perlite pneumatic conveying system for an emulsion explosive production line, comprising: Transportation data acquisition module: By dividing the transportation pipeline into several transportation monitoring sections, the perlite transportation production data can be monitored and collected in sections.

[0020] In this embodiment, the specific collection method of the transport data collection module is: According to the overall layout of the production line, the conveying pipeline is divided into several conveying monitoring sections. Based on the actual conveying demand of perlite, the length of each conveying monitoring section is set, and the divided conveying monitoring sections are numbered in sequence according to the order in which the perlite is blown into. They are numbered 1, 2, 3, ... n respectively, and then corresponding sensors are installed in each conveying monitoring section to monitor and collect the conveying operation data of each conveying monitoring section in real time, and the conveying operation data includes the flow rate, pressure and temperature of the perlite.

[0021] It should be specifically explained that the starting point and end point of the conveying pipeline are determined by analyzing the overall layout of the generation line, including the direction, bends and lifts of the pipeline. The conveying pipeline is divided into several monitoring sections according to the length and layout of the pipeline, and the length of each conveying monitoring section is set according to the conveying requirements of the perlite, including flow and pressure. For example, every 50 meters or 100 meters is a monitoring section. Then, each conveying monitoring section is numbered according to the order in which the perlite is blown in, for easy identification and monitoring, and corresponding sensors, including pressure sensors, flow sensors and temperature sensors, are installed at the starting point and end point of each monitoring section. Before starting data collection, all sensors are calibrated. After calibration, the sensors are started to collect the flow rate, pressure and temperature data of the perlite in each conveying monitoring section in real time, and the collected data is transmitted to the computer terminal via a wireless network.

[0022] Transportation data processing module: It processes the transportation production data of each transportation monitoring section during the perlite transportation process, including a pressure processing unit, a flow processing unit and a temperature processing unit.

[0023] In this embodiment, the transport data processing module collects the pressure data of each transport monitoring section within a period of time through the pressure processing unit, and processes and analyzes the pressure change data of each transport monitoring section to calculate the pressure fluctuation value. , thereby monitoring the pressure changes of each transmission monitoring section over a period of time, and distinguishing abnormally high-pressure areas from low-pressure areas; The flow processing unit collects the perlite gas flow data of each transport monitoring section within a period of time, processes and analyzes the flow change data of each transport monitoring section, and calculates the flow stability value , so as to monitor the fluctuation of the perlite gas blowing flow rate in each transmission monitoring section within a period of time, and to detect whether the flow fluctuation is too large; The temperature processing unit collects the temperature data of each transport monitoring section and the external environment temperature data within a period of time, processes and analyzes the temperature data of each transport monitoring section and the external environment temperature data, and calculates the temperature change rate , thereby monitoring the temperature change trend of each conveying monitoring section within a period of time, and detecting whether there is an abnormal temperature area.

[0024] It should be noted that the specific calculation formula for the pressure fluctuation value is: ,in, represents the pressure fluctuation value of the i-th transport monitoring section, represents the pressure value collected at the jth time point of the i-th transport monitoring section, represents the average pressure value of the i-th transport monitoring section over a period of time, and m represents the number of collection time points within a period of time; The specific calculation formula for the flow stability value is: ,in, represents the flow stability value of the i-th transport monitoring section, represents the gas blowing flow value collected at the jth time point of the i-th transport monitoring section, Indicates the gas blowing flow value collected from 1, 2...m time points; The specific analysis method for the temperature difference value is: Step 1: The temperature data for a period of time is collected by sensors in each transport monitoring section. At the same time, the external environment temperature is collected through the smart thermometer ; Step 2: Used to calculate the absolute difference between the temperature of a single transport monitoring section and the ambient temperature at the same time ; Step 3: Further analyze the absolute temperature difference between two adjacent time points in each transport monitoring section and calculate the temperature change rate. ,in, represents the temperature change rate of the i-th transport monitoring section, represents the first The absolute temperature difference at each time point, represents the first The absolute temperature difference at each time point, and Represents two different time points.

[0025] Transportation status analysis module: Based on the transportation status risk analysis of the processed transportation production data, the transportation status risk assessment index is obtained to detect whether there is an explosion risk.

[0026] In this embodiment, the delivery state analysis module is based on the analyzed pressure fluctuation value , flow stability value And the temperature change rate Comprehensive analysis is performed and the transport status risk assessment index is calculated as ,in, represents the transport status risk assessment index of the i-th transport monitoring section, is the weight coefficient, and the specific value is set by the management personnel based on experience; By setting a transport status risk threshold , the transport status risk assessment index Risk threshold for transport status The comparison is used to determine whether there is an explosion risk in the transport monitoring section; if the transport status risk assessment index Transport status risk threshold , it is considered that there is no explosion risk in the transport monitoring section, and the transport status of the transport monitoring section will continue to be monitored. If the transport status risk assessment index Transport status risk threshold , it is considered that there is an explosion risk in the transportation monitoring section, and the analysis results of the transportation status are immediately transmitted to the transportation safety detection module.

[0027] Equipment operation data acquisition module: used for real-time monitoring and acquisition of fan equipment operation data during perlite transportation.

[0028] In this embodiment, the equipment operation data acquisition module uses the speed sensor, vibration sensor, temperature sensor, current sensor and power sensor inside the fan equipment to collect the fan speed, fan bearing vibration frequency, motor winding temperature, bearing temperature, cooling medium temperature, motor current and power in real time during operation, and uses the programmable logic controller as the core of data acquisition, connected to various sensor interfaces to execute the data acquisition program, set a fixed acquisition cycle to automatically collect data, and input the collected equipment operation status data into the computer terminal through the wireless network.

[0029] Equipment operation status analysis module: By analyzing the operation status data of the fan equipment during the perlite transportation process, the equipment safety risk assessment index is obtained to detect whether there is a safety risk during the operation of the fan equipment.

[0030] In this embodiment, the equipment operation status analysis module pre-processes the collected wind turbine equipment operation status data, and the specific operation process of the pre-processing includes: data cleaning, data conversion and data integration, and then comprehensively analyzes the pre-processed wind turbine equipment operation status data, and calculates the equipment safety risk assessment index, and monitors the safety risks of the equipment during operation in real time through the equipment safety risk assessment index; The specific analysis method of the equipment safety risk assessment index is as follows: Step S511: Calculate the deviation ratio of each pre-processed equipment operating parameter, including the fan speed, fan bearing vibration frequency, motor winding temperature, bearing temperature, cooling medium temperature, motor current and power. The specific calculation formula is: ,in, represents the deviation ratio of the kth device operating parameter, represents the actual measured value of the kth device operating parameter, represents the minimum permissible value of the kth device operating parameter, represents the maximum permissible value of the kth device operating parameter; Step S512: By comprehensively analyzing the deviation ratio of each equipment operating parameter, the equipment safety risk assessment index is calculated as ,in, represents the equipment safety risk assessment index of the i-th transmission monitoring section, and K represents the total number of equipment operating parameters collected; By setting a device security risk threshold , the equipment safety risk assessment index Q and the equipment safety risk threshold The comparison is used to determine whether there is a safety risk during the operation of the fan equipment; if the equipment safety risk assessment index Q Device security risk threshold , it is considered that there is no safety risk in the operation status of the equipment during the perlite transportation process, and the equipment operation status will continue to be monitored. If the equipment safety risk assessment index Q Device security risk threshold , it is considered that there is a safety risk in the operation status of the fan equipment, and the analysis results of the equipment operation status are immediately transmitted to the transportation safety detection module.

[0031] Transportation safety detection module: used to analyze the results of transportation status risks and equipment operation status risks, calculate the safety detection coefficient, and screen out all transportation monitoring sections with safety risks.

[0032] In this embodiment, the transportation safety detection module is used to receive the analysis results of the transportation status and the analysis results of the equipment operation status. When the analysis results of the transportation risk and the equipment operation risk are received, the safety of each transportation monitoring section in the transportation process of the perlite is immediately comprehensively analyzed and detected, and all transportation monitoring sections with safety risks are screened out; The specific calculation formula of the safety detection coefficient is: ,in, represents the safety detection coefficient calculated for the i-th transport monitoring section, represents the transport status risk assessment index of the i-th transport monitoring section, represents the equipment safety risk assessment index of the i-th transmission monitoring section, Indicates the transport status risk threshold, represents the equipment safety risk threshold, a represents the proportional constant, and e represents the constant; Pass safety test factor With safety threshold By comparison, if the safety detection factor Safety threshold , it is considered that there is no safety risk in the transportation of perlite. If the safety detection coefficient Safety threshold , it is considered that there is a safety risk in the transportation of perlite, and all monitoring sections detected to have safety risks are screened out and marked.

[0033] Conveying speed adjustment module: The conveying speed of the conveying monitoring section with safety risks is adjusted separately through the conveying safety detection coefficient.

[0034] In this embodiment, the conveying speed adjustment module determines the risk level of the monitoring section marked as having safety risks according to the safety detection coefficient value, including low risk, medium risk and high risk, and slightly reduces the conveying speed of the low-risk conveying monitoring section, moderately reduces the conveying speed of the medium-risk conveying monitoring section, and suspends the conveying speed of the high-risk conveying monitoring section; and calculates the new conveying speed according to the risk level to formulate a conveying speed adjustment strategy, and its specific calculation formula is: ,in, represents the new conveying speed of the conveying monitoring section, v represents the current conveying speed of the conveying monitoring section, represents the adjustment factor, and The specific value is adjusted according to the safety detection coefficient value.

[0035] Early warning feedback module: automatically generates a monitoring report based on the monitoring results of the entire transportation monitoring process, and sends the monitoring report to the management personnel terminal.

[0036] In this embodiment, the early warning feedback module automatically generates a monitoring report through the safety risk monitoring results of the conveying status and equipment operation status of each conveying monitoring section, and issues early warning prompts for the monitoring sections marked with safety risks, thereby prompting the management personnel to perform maintenance operations on them. At the same time, the speed reduction adjustment results are displayed to the management personnel terminal in a visual manner.

[0037] like Figure 2 This embodiment provides a method for analyzing and processing network routing failures, comprising the following steps: S1: By dividing the transportation pipeline into several transportation monitoring sections, the perlite transportation production data is monitored and collected in sections; S2: by processing the transportation production data of each transportation monitoring section during the perlite transportation process, including a pressure processing unit, a flow processing unit and a temperature processing unit; S3: Based on the processed transportation production data, a transportation status risk analysis is performed to obtain a transportation status risk assessment index to detect whether there is an explosion risk; S4: used for real-time monitoring and collection of fan equipment operation data during perlite transportation; S5: By analyzing the operating status data of the fan equipment during the perlite transportation process, an equipment safety risk assessment index is obtained to detect whether there is a safety risk during the operation of the fan equipment; S6: used to analyze the results of the transportation status risk and equipment operation status risk, calculate the safety detection coefficient, and screen out all transportation monitoring sections with safety risks; S7: The conveying speed of the conveying monitoring section with safety risks is adjusted separately through the conveying safety detection coefficient; S8: Automatically generate a monitoring report based on the monitoring results of the entire transportation monitoring process, and send the monitoring report to the management personnel terminal.

[0038] like Figure 3 The present embodiment provides a schematic diagram of the structure of the conveying system, which includes a first dust collector 1, a feeding operation dust removal system 2, a feeder 3, a positive pressure feeding pipe 4, an air volume detector 5, a separator 6, a temporary storage tank 7, a material level switch 8, a falling material flow control feeder 9, a guide pipe 10, a second dust collector 11 and an automatic feeding dust collection system 12; Among them, the first dust collector 1 and the second dust collector 11 are used to filter and collect the dust generated during feeding, and uniformly treat the finer dust in a water bath; the feeding operation dust removal system 2 is connected to the exhaust dust collector through the cyclone separator outlet to isolate and collect dust to prevent dust from entering the atmosphere, and the collected dust is returned to the perlite storage tank; the feeder 3 can be frequency-controlled to achieve stable and controllable air flow speed and feed volume; the positive pressure feeding pipe 4 is used to achieve positive pressure transportation of materials; the air volume detection 5 is used to determine whether the pipeline is blocked. If there is a blockage, the control program in the monitoring room will alarm and maintenance personnel can be arranged to go to the site for processing in time; the separator 6 makes the perlite sink and accumulate at the bottom, The two separators 6 alternately intake air and drop materials, so that the perlite material falls into the temporary storage tank 7; the temporary storage tank 7 is provided with two high and low liquid level switches to automatically control the material level in the tank; the level switch 8 is used to automatically detect and control the material level in the temporary storage tank. When the material level reaches the preset limit value, the level switch will send a signal to trigger the corresponding control logic to stop or start the material transportation; the drop flow control feeder 9 is used to accurately control the material transportation volume to ensure that the material can enter the conveying pipeline stably and continuously according to the predetermined flow rate; the guide pipe 10 is used to automatically transmit the material to the automatic feeding and dust collection system 12; the automatic feeding and dust collection system 12 automatically feeds the material into the wind conveying system.

[0039] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0040] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. Perlite pneumatic conveying system for emulsion explosive production line, characterized by: include: Transportation data acquisition module: by dividing the transportation pipeline into several transportation monitoring sections, the perlite transportation production data can be monitored and collected in sections; Transportation data processing module: It processes the transportation production data of each transportation monitoring section during the perlite transportation process, including pressure processing unit, flow processing unit and temperature processing unit; Transportation status analysis module: Based on the transportation status risk analysis of the processed transportation production data, the transportation status risk assessment index is obtained to detect whether there is an explosion risk; Equipment operation data acquisition module: used for real-time monitoring and acquisition of fan equipment operation data during perlite transportation; Equipment operation status analysis module: By analyzing the operation status data of the fan equipment during the perlite transportation process, the equipment safety risk assessment index is obtained to detect whether there is a safety risk during the operation of the fan equipment; Transportation safety detection module: used to analyze the results of transportation status risk and equipment operation status risk, calculate the safety detection coefficient, and screen out all transportation monitoring sections with safety risks; Conveying speed adjustment module: The conveying speed of the conveying monitoring section with safety risks is adjusted separately through the conveying safety detection coefficient; Early warning feedback module: automatically generates a monitoring report based on the monitoring results of the entire transportation monitoring process, and sends the monitoring report to the management personnel terminal.

2. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1 is characterized in that: The specific collection method of the transport data collection module is: According to the overall layout of the production line, the conveying pipeline is divided into several conveying monitoring sections. Based on the actual conveying demand of perlite, the length of each conveying monitoring section is set, and the divided conveying monitoring sections are numbered in sequence according to the order in which the perlite is blown into. They are numbered 1, 2, 3, ... n respectively, and then corresponding sensors are installed in each conveying monitoring section to monitor and collect the conveying operation data of each conveying monitoring section in real time, and the conveying operation data includes the flow rate, pressure and temperature of the perlite.

3. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1 is characterized in that: The transport data processing module collects the pressure data of each transport monitoring section within a period of time through the pressure processing unit, and processes and analyzes the pressure change data of each transport monitoring section to calculate the pressure fluctuation value. , thereby monitoring the pressure changes of each transmission monitoring section over a period of time, and distinguishing abnormally high-pressure areas from low-pressure areas; The flow processing unit collects the perlite gas flow data of each transport monitoring section within a period of time, processes and analyzes the flow change data of each transport monitoring section, and calculates the flow stability value , so as to monitor the fluctuation of the perlite gas blowing flow rate in each transmission monitoring section within a period of time, and to detect whether the flow fluctuation is too large; The temperature processing unit collects the temperature data of each transport monitoring section and the external environment temperature data within a period of time, processes and analyzes the temperature data of each transport monitoring section and the external environment temperature data, and calculates the temperature change rate , thereby monitoring the temperature change trend of each conveying monitoring section within a period of time, and detecting whether there is an abnormal temperature area.

4. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1 is characterized in that: The delivery state analysis module is based on the analyzed pressure fluctuation value , flow stability value And the temperature change rate Comprehensive analysis is performed and the transport status risk assessment index is calculated as ,in, represents the transport status risk assessment index of the i-th transport monitoring section, is the weight coefficient, and the specific value is set by the management personnel based on experience; By setting a transport status risk threshold , the transport status risk assessment index Risk threshold for transport status The comparison is used to determine whether there is an explosion risk in the transport monitoring section; if the transport status risk assessment index Transport status risk threshold , it is considered that there is no explosion risk in the transport monitoring section, and the transport status of the transport monitoring section will continue to be monitored. If the transport status risk assessment index Transport status risk threshold , it is considered that there is an explosion risk in the transportation monitoring section, and the analysis results of the transportation status are immediately transmitted to the transportation safety detection module.

5. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1 is characterized in that: The equipment operation data acquisition module uses the speed sensor, vibration sensor, temperature sensor, current sensor and power sensor inside the fan equipment to collect the fan speed, fan bearing vibration frequency, motor winding temperature, bearing temperature, cooling medium temperature, motor current and power in real time during operation, and uses the programmable logic controller as the core of data acquisition, connected to various sensor interfaces to execute the data acquisition program, set a fixed acquisition cycle to automatically collect data, and input the collected equipment operation status data into the computer terminal through the wireless network.

6. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1, characterized in that: The equipment operation status analysis module pre-processes the collected wind turbine equipment operation status data, and the specific operation process of the pre-processing includes: data cleaning, data conversion and data integration, and then comprehensively analyzes the pre-processed wind turbine equipment operation status data, and calculates the equipment safety risk assessment index, and monitors the safety risks of the equipment during operation in real time through the equipment safety risk assessment index; The specific analysis method of the equipment safety risk assessment index is as follows: Step S511: Calculate the deviation ratio of each pre-processed equipment operating parameter, including the fan speed, fan bearing vibration frequency, motor winding temperature, bearing temperature, cooling medium temperature, motor current and power. The specific calculation formula is: ,in, represents the deviation ratio of the kth device operating parameter, represents the actual measured value of the kth device operating parameter, represents the minimum permissible value of the kth device operating parameter, represents the maximum permissible value of the kth device operating parameter; Step S512: By comprehensively analyzing the deviation ratio of each equipment operating parameter, the equipment safety risk assessment index is calculated as ,in, represents the equipment safety risk assessment index of the i-th transmission monitoring section, and K represents the total number of equipment operating parameters collected; By setting a device security risk threshold , the equipment safety risk assessment index Q and the equipment safety risk threshold The comparison is used to determine whether there is a safety risk during the operation of the fan equipment; if the equipment safety risk assessment index Q Device security risk threshold , it is considered that there is no safety risk in the operation status of the equipment during the perlite transportation process, and the equipment operation status will continue to be monitored. If the equipment safety risk assessment index Q Device security risk threshold , it is considered that there is a safety risk in the operation status of the fan equipment, and the analysis results of the equipment operation status are immediately transmitted to the transportation safety detection module.

7. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1, characterized in that: The transportation safety detection module is used to receive the analysis results of the transportation status and the analysis results of the equipment operation status. When the analysis results of the transportation risk and the equipment operation risk are received, the safety of each transportation monitoring section in the transportation process of the perlite is immediately comprehensively analyzed and detected, and all transportation monitoring sections with safety risks are screened out; The specific calculation formula of the safety detection coefficient is: ,in, represents the safety detection coefficient calculated for the i-th transport monitoring section, represents the transport status risk assessment index of the i-th transport monitoring section, represents the equipment safety risk assessment index of the i-th transmission monitoring section, Indicates the transport status risk threshold, represents the equipment safety risk threshold, a represents the proportional constant, and e represents the constant; Pass safety test factor With safety threshold By comparison, if the safety detection factor Safety threshold , it is considered that there is no safety risk in the transportation of perlite. If the safety detection coefficient Safety threshold , it is considered that there is a safety risk in the transportation of perlite, and all monitoring sections detected to have safety risks are screened out and marked.

8. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1, characterized in that: The conveying speed adjustment module determines the risk level of the monitoring section marked as having safety risks according to the safety detection coefficient value, including low risk, medium risk and high risk, and slightly reduces the conveying speed of the low-risk conveying monitoring section, moderately reduces the conveying speed of the medium-risk conveying monitoring section, and suspends the conveying speed of the high-risk conveying monitoring section; and calculates the new conveying speed according to the risk level to formulate a conveying speed adjustment strategy, and its specific calculation formula is: ,in, represents the new conveying speed of the conveying monitoring section, v represents the current conveying speed of the conveying monitoring section, represents the adjustment factor, and The specific value is adjusted according to the safety detection coefficient value.

9. The perlite pneumatic conveying system for emulsion explosive production line according to claim 1, characterized in that: The early warning feedback module automatically generates a monitoring report based on the safety risk monitoring results of the conveying status and equipment operation status of each conveying monitoring section, and issues early warning prompts for the monitoring sections marked with safety risks, thereby prompting management personnel to perform maintenance operations on them. At the same time, the speed reduction adjustment results are displayed to the management personnel terminal in a visual manner.

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