Explosive filling remote monitoring control system and method based on industrial Internet of Things

Abstract

The present invention relates to the technical field of remote monitoring of emulsion explosive filling, and specifically to a remote monitoring control system and method for explosive filling based on the industrial Internet of Things. The method comprises: obtaining emulsion explosive production data in the emulsion explosive production process, obtaining thermal explosion performance data of emulsion explosive; being used to compare and analyze the emulsion explosive production data based on the emulsion explosive production index to obtain the emulsion explosive production safety index; calculating the thermal explosion performance index based on the thermal explosion performance data, judging whether the emulsion explosive meets the filling conditions based on the thermal explosion performance index, and if so, generating a signal that the emulsion explosive meets the filling conditions, obtaining the emulsion explosive production safety index, and analyzing and processing the emulsion explosive production safety index to generate a production safety warning signal; being used to receive a signal that the emulsion explosive does not meet the filling conditions, and generating a filling warning signal. The present invention can improve the production efficiency of emulsion explosives and reduce the safety risks of emulsion explosive filling.

Description

Technical Field

[0001] The present invention relates to the technical field of remote monitoring of emulsion explosive filling, and in particular to a remote monitoring control system and method for explosive filling based on industrial Internet of Things. Background Art

[0002] With the continuous development of industrial technology, especially in the civilian explosives industry, the safety and stability of explosive filling equipment are crucial to ensuring production safety. Traditional monitoring and maintenance of explosive filling equipment mainly rely on on-site operators, which is not only inefficient but also has great safety hazards. In order to overcome these limitations, industrial Internet of Things technology came into being. It can connect equipment, sensors, and control systems through the Internet to achieve remote monitoring, data analysis, and intelligent management of equipment.

[0003] In the context of industrial Internet of Things, explosive filling equipment can collect operating parameters such as temperature, pressure, flow, etc. in real time through various sensors, and transmit these data to the remote monitoring center through the communication network. The remote monitoring center uses advanced data processing and analysis technology to process, analyze and mine the collected data, thereby realizing real-time monitoring and intelligent early warning of equipment status. In addition, through the remote control system, technicians can debug and maintain the equipment remotely, greatly reducing the risk and cost of on-site operations.

[0004] The existing remote monitoring and control system for explosives filling still has some shortcomings, such as unstable data transmission, insufficient monitoring accuracy, and insufficient intelligent early warning capabilities.

[0005] Therefore, there is an urgent need for an explosive filling remote monitoring control system and method based on the industrial Internet of Things to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to provide an industrial Internet of Things-based remote monitoring control system and method for explosive filling: to solve the technical problems of low production efficiency and high safety risks of emulsion explosives due to insufficient filling monitoring accuracy and insufficient intelligent early warning capabilities in existing solutions.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] On the one hand, the remote monitoring and control system for explosive filling based on the industrial Internet of Things includes an explosive monitoring data acquisition module, an explosive monitoring data analysis module, an explosive filling judgment module and an early warning module;

[0009] An explosive monitoring data acquisition module is used to acquire the emulsion explosive production data during the emulsion explosive production process and to acquire the thermal explosion performance data of the emulsion explosive;

[0010] The explosive monitoring data analysis module is used to compare and analyze the emulsion explosive production data based on the emulsion explosive production index, obtain the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient, and obtain the emulsion explosive production safety index based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient;

[0011] An explosive filling judgment module is used to calculate a thermal explosion performance index based on the thermal explosion performance data, and judge whether the emulsion explosive meets the filling conditions based on the thermal explosion performance index. If yes, a signal that the emulsion explosive meets the filling conditions is generated; if not, a signal that the emulsion explosive does not meet the filling conditions is generated;

[0012] The early warning module is used to obtain the production safety index of emulsion explosives, analyze and process the production safety index of emulsion explosives, and generate a production safety early warning signal; it is used to receive the signal that the emulsion explosives do not meet the filling conditions and generate a filling early warning signal.

[0013] Furthermore, based on the emulsion explosive production index, the emulsion explosive production data is compared and analyzed to obtain the emulsion explosive process parameter coefficient, which specifically includes the following process:

[0014] Based on the emulsion explosive production data, the water phase melting tank temperature in the preparation process of the water phase material is obtained; based on the emulsion explosive production index, the water phase melting reference temperature in the preparation process of the water phase material is obtained; a rectangular coordinate system is established with the preparation period of the water phase material as the X-axis and the water phase melting tank temperature as the Y-axis; a water phase melting tank curve is drawn in the rectangular coordinate system by the water phase melting tank temperature in the preparation period; two truncation line segments are obtained by drawing perpendicular lines from the two end points of the water phase melting tank curve to the X-axis; a water phase melting tank graph is formed by the water phase melting tank curve, the two truncation line segments and the X-axis; the area value of the water phase melting tank graph is calculated; the product value of the preparation period and the water phase melting reference temperature is calculated; the difference between the area value and the product value is calculated; and the difference is recorded as the water phase melting tank temperature change value A;

[0015] The water phase storage tank temperature is obtained based on the emulsion explosive production data, the water phase storage tank reference temperature is obtained based on the emulsion explosive production index, and the difference B between the water phase storage tank temperature and the water phase storage tank reference temperature is calculated;

[0016] The oil phase storage tank temperature is obtained based on the emulsion explosive production data, the oil phase storage tank reference temperature is obtained based on the emulsion explosive production index, and the difference C between the oil phase storage tank temperature and the oil phase storage tank reference temperature is calculated;

[0017] Based on the emulsion explosive production data, the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate are obtained, and based on the emulsion explosive production index, it is determined whether the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate have all reached the preset reference flow rate. If so, the emulsion explosive production flow coefficient R is 1, and if not, the emulsion explosive production flow coefficient R is 0;

[0018] Substitute the temperature change value A, difference B, difference C of the water phase melting tank and the emulsion explosive production flow coefficient R into the emulsion explosive process parameter coefficient calculation formula to calculate the emulsion explosive process parameter coefficient GYX, which is as follows:

[0019] ;

[0020] in, is the weight coefficient, set by the system, and , is the reference temperature of water phase melting during the preparation of water phase materials, is the reference temperature of the water phase storage tank, is the reference temperature of the oil phase storage tank, and the value of e is 2.72.

[0021] Furthermore, based on the emulsion explosive production index, the emulsion explosive production data is compared and analyzed to obtain the emulsion explosive equipment parameter coefficient, which specifically includes the following process:

[0022] The equipment operation data of the emulsion explosive production line is obtained based on the emulsion explosive production data, wherein the equipment includes a screw conveying motor, an oil-water dissolving tank motor, an oil-water phase storage tank motor, an oil-water phase pump, a coarse emulsifier, a fine emulsifier, a distributor, a steel belt conveying motor, a cold water pump, a screw material distribution motor and a sensitizer pump. The equipment operation data is compared and analyzed with the equipment operation standard data in the emulsion explosive production index to determine whether the equipment operation data is the same as the equipment operation standard data in the emulsion explosive production index. If so, the emulsion explosive equipment parameter coefficient SBX is 1, if not, the emulsion explosive equipment parameter coefficient SBX is 0.

[0023] Furthermore, obtaining the emulsion explosive production safety index based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient specifically includes the following process:

[0024] Substitute the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient into the emulsion explosive production safety index calculation formula to calculate the emulsion explosive production safety index LMZ, which is as follows:

[0025] ;

[0026] in, is the process parameter coefficient of emulsion explosive, SBX is the equipment parameter coefficient of emulsion explosive, and the value of e is 2.72.

[0027] Furthermore, the thermal explosion performance index is calculated based on the thermal explosion performance data and specifically includes the following process:

[0028] Based on the thermal explosion performance data, the chemical reaction kinetic characteristics of emulsion explosives and the specific parameters of their thermal decomposition kinetics are obtained: reaction order n, reaction activation energy , pre-frequency factor And the heat of reaction per unit mass Q;

[0029] Get the universal molar gas constant , the heat released per unit mass of reactants , thermal conductivity λ, density of reactants , the base radius d of the reactant, the constant volume specific heat capacity c of the reactant;

[0030] Calculate the thermal conductivity parameter W:

[0031] ;

[0032] Calculation of critical explosion temperature based on thermal conductivity parameter W :

[0033] ;

[0034] Based on critical explosion temperature Thermal explosion performance index :

[0035] .

[0036] Furthermore, judging whether the emulsion explosive meets the filling conditions based on the thermal explosion performance index specifically includes the following process:

[0037] A thermal explosion performance index threshold is loaded, wherein the thermal explosion performance index threshold is stored in the system, and it is determined whether the thermal explosion performance index exceeds the thermal explosion performance index threshold. If so, the emulsion explosive meets the filling condition; if not, the emulsion explosive does not meet the filling condition.

[0038] Furthermore, obtaining the emulsion explosive production safety index, analyzing and processing the emulsion explosive production safety index, and generating a production safety early warning signal specifically include the following processes:

[0039] Load the emulsion explosive production safety index threshold value, which is stored in the system, and determine whether the emulsion explosive production safety index exceeds the emulsion explosive production safety index threshold value. If so, generate a production safety warning signal, otherwise, do not generate a production safety warning signal.

[0040] On the other hand, the remote monitoring and control method of explosive filling based on industrial Internet of Things includes:

[0041] Obtaining emulsion explosive production data during the emulsion explosive production process, and obtaining thermal explosion performance data of emulsion explosives;

[0042] Based on the emulsion explosive production index, the emulsion explosive production data is compared and analyzed to obtain the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient, and the emulsion explosive production safety index is obtained based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient;

[0043] A thermal explosion performance index is calculated based on the thermal explosion performance data, and whether the emulsion explosive meets the filling condition is judged based on the thermal explosion performance index. If so, a signal indicating that the emulsion explosive meets the filling condition is generated; if not, a signal indicating that the emulsion explosive does not meet the filling condition is generated;

[0044] Obtain the emulsion explosive production safety index, analyze and process the emulsion explosive production safety index, and generate a production safety warning signal; receive the emulsion explosive does not meet the filling condition signal, and generate a filling warning signal.

[0045] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0046] The present invention uses the Internet of Things technology to enable the system to collect operating parameters of explosive filling equipment in real time, such as temperature, pressure, flow, etc., and perform data analysis. This helps to promptly discover abnormal conditions in equipment operation, so that measures can be taken quickly to make adjustments and ensure the stability and continuity of the production process. The data analysis results can also be used to optimize the production process and improve production efficiency.

[0047] The present invention analyzes and processes the production safety index of emulsion explosives to generate a production safety warning signal; receives a signal that the emulsion explosives do not meet the filling condition, generates a filling warning signal, and can timely discover unqualified emulsion explosives during the emulsion explosive filling process, thereby reducing the safety risk of emulsion explosive filling. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0049] Figure 1 This is a system block diagram of an explosive filling remote monitoring and control system based on industrial Internet of Things according to an embodiment of the present invention;

[0050] Figure 2 This is a workflow diagram of an explosive filling remote monitoring and control system based on industrial Internet of Things according to an embodiment of the present invention;

[0051] Figure 3The present invention is a flowchart of a remote monitoring and control method for explosive filling based on industrial Internet of Things in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0053] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0054] The filling process of emulsion explosives is a complex technical process that requires highly precise control and involves multiple key steps and process parameters. The following is a detailed description of the filling process of emulsion explosives:

[0055] 1. Preliminary preparation

[0056] Raw material preparation: Ensure that the various raw materials required for emulsion explosives (such as oxidizers, combustibles, stabilizers, etc.) have been mixed in a certain proportion and prepared into a uniform emulsion. The proportion and properties of these raw materials will directly affect the performance of the final explosive.

[0057] Equipment inspection and cleaning: Check whether the emulsion explosive production equipment is intact, including agitators, filling machines, conveying pipelines, etc. At the same time, the equipment is thoroughly cleaned to ensure cleanliness and safety between products.

[0058] 2. Emulsification process

[0059] Compatibility test: Before formal production, a compatibility test is usually required to confirm that the components can dissolve well in each other to form a stable emulsion.

[0060] Stirring and emulsification: Add the prepared raw materials into the mixer in a certain order and mix the components thoroughly through high-speed stirring. In this process, the stirring speed and time need to be strictly controlled to ensure the stability and uniformity of the emulsion.

[0061] 3. Treatment before filling

[0062] Quality inspection: The prepared emulsion explosives are inspected for quality, including appearance, density, viscosity, stability and other indicators. Only when all indicators meet the standard requirements can the next step of filling be carried out.

[0063] Environmental preparation: Ensure that the environment in the filling area meets the requirements, including temperature, humidity, cleanliness, etc. This helps prevent the product from being contaminated or deteriorating during the filling process.

[0064] 4. Filling operation

[0065] Material conveying: The emulsion explosive is conveyed from the storage tank to the filling machine through the conveying pipeline. During this process, special attention should be paid to the sealing and fluidity of the pipeline to prevent leakage or blockage.

[0066] Automatic filling: Automatic filling machines are used for filling operations. The filling machine accurately fills the emulsion explosive into the pre-prepared container through precise metering devices and control systems. The filling speed and amount must be strictly controlled during the filling process to ensure that the filling amount of each container is consistent and accurate.

[0067] Online inspection: Online inspection is performed during the filling process to promptly detect and handle any abnormalities such as leakage, blockage or inaccurate filling.

[0068] 5. Subsequent processing

[0069] Sealing and labeling: After filling, seal the container and ensure that each container has clear labeling, including product name, specifications, production date and other information.

[0070] Quality inspection and storage: The sealed emulsion explosives are subject to final quality inspection. Qualified products will be stored and transported in accordance with the specified conditions.

[0071] This embodiment provides a remote monitoring and control system for explosive filling based on industrial Internet of Things. Figure 1 is a system block diagram of an explosive filling remote monitoring control system based on industrial Internet of Things according to an embodiment of the present invention, such as Figure 1 As shown, the system includes an explosive monitoring data acquisition module, an explosive monitoring data analysis module, an explosive filling judgment module and an early warning module;

[0072] An explosive monitoring data acquisition module is used to acquire the emulsion explosive production data during the emulsion explosive production process and to acquire the thermal explosion performance data of the emulsion explosive;

[0073] The explosive monitoring data analysis module is used to compare and analyze the emulsion explosive production data based on the emulsion explosive production index, obtain the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient, and obtain the emulsion explosive production safety index based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient;

[0074] An explosive filling judgment module is used to calculate a thermal explosion performance index based on the thermal explosion performance data, and judge whether the emulsion explosive meets the filling conditions based on the thermal explosion performance index. If yes, a signal that the emulsion explosive meets the filling conditions is generated; if not, a signal that the emulsion explosive does not meet the filling conditions is generated;

[0075] The early warning module is used to obtain the production safety index of emulsion explosives, analyze and process the production safety index of emulsion explosives, and generate a production safety early warning signal; it is used to receive the signal that the emulsion explosives do not meet the filling conditions and generate a filling early warning signal.

[0076] In summary, through big data analysis, the system of the present invention can deeply mine massive, multi-source data resources, reveal hidden risk factors, and thus improve the accuracy of water conservancy environmental risk warning.

[0077] The present invention obtains the emulsion explosive production data in the emulsion explosive production process, and obtains the thermal explosion performance data of the emulsion explosive; is used to compare and analyze the emulsion explosive production data based on the emulsion explosive production index, obtain the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient, and obtain the emulsion explosive production safety index based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient; calculates the thermal explosion performance index based on the thermal explosion performance data, and judges whether the emulsion explosive meets the filling conditions based on the thermal explosion performance index, and if so, generates a signal that the emulsion explosive meets the filling conditions, and if not, generates a signal that the emulsion explosive does not meet the filling conditions; obtains the emulsion explosive production safety index, and analyzes and processes the emulsion explosive production safety index to generate a production safety warning signal; is used to receive the emulsion explosive does not meet the filling condition signal, and generates a filling warning signal. The present invention can improve the production efficiency of emulsion explosives and reduce the safety risk of emulsion explosive filling.

[0078] In some embodiments, Figure 2 This is a workflow diagram of an explosive filling remote monitoring control system based on industrial Internet of Things according to an embodiment of the present invention, such as Figure 2 As shown, the comparative analysis of the emulsion explosive production data based on the emulsion explosive production index to obtain the emulsion explosive process parameter coefficient specifically includes the following steps:

[0079] Step S201: obtaining the temperature of the water phase melting tank in the preparation process of the water phase material based on the emulsion explosive production data, obtaining the water phase melting reference temperature in the preparation process of the water phase material based on the emulsion explosive production index, and calculating the water phase melting tank temperature change value A based on the water phase melting tank temperature and the water phase melting reference temperature;

[0080] Specifically, the temperature of the water phase melting tank in the preparation process of the water phase material is obtained based on the emulsion explosive production data, the reference temperature of the water phase melting in the preparation process of the water phase material is obtained based on the emulsion explosive production index, a rectangular coordinate system is established with the preparation period of the water phase material as the X-axis and the temperature of the water phase melting tank as the Y-axis, a water phase melting tank curve is drawn in the rectangular coordinate system by the temperature of the water phase melting tank in the preparation period, two truncation line segments are obtained by drawing perpendicular lines from the two end points of the water phase melting tank curve to the X-axis, a water phase melting tank graph is formed by the water phase melting tank curve, the two truncation line segments and the X-axis, the area value of the water phase melting tank graph is calculated, the product value of the preparation period and the reference temperature of the water phase melting is calculated, the difference between the area value and the product value is calculated, and the difference is recorded as the temperature change value A of the water phase melting tank;

[0081] Step S202: obtaining the water phase storage tank temperature based on the emulsion explosive production data, obtaining the water phase storage tank reference temperature based on the emulsion explosive production index, and calculating the difference B between the water phase storage tank temperature and the water phase storage tank reference temperature;

[0082] Step S203: obtaining the oil phase storage tank temperature based on the emulsion explosive production data, obtaining the oil phase storage tank reference temperature based on the emulsion explosive production index, and calculating the difference C between the oil phase storage tank temperature and the oil phase storage tank reference temperature;

[0083] Step S204: based on the emulsion explosive production data, the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate are obtained, and based on the emulsion explosive production index, it is determined whether the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate have all reached the preset reference flow rate. If so, the emulsion explosive production flow coefficient R is 1, and if not, the emulsion explosive production flow coefficient R is 0;

[0084] Step S205: Substitute the temperature change value A, difference B, difference C of the water phase melting tank and the emulsion explosive production flow coefficient R into the emulsion explosive process parameter coefficient calculation formula to calculate the emulsion explosive process parameter coefficient GYX, which is as follows:

[0085] ;

[0086] in, is the weight coefficient, set by the system, and , is the reference temperature of water phase melting during the preparation of water phase materials, is the reference temperature of the water phase storage tank, is the reference temperature of the oil phase storage tank, and the value of e is 2.72.

[0087] In some embodiments, the process of comparing and analyzing the emulsion explosive production data based on the emulsion explosive production index to obtain the emulsion explosive equipment parameter coefficient specifically includes the following steps:

[0088] The equipment operation data of the emulsion explosive production line is obtained based on the emulsion explosive production data, wherein the equipment includes a screw conveying motor, an oil-water dissolving tank motor, an oil-water phase storage tank motor, an oil-water phase pump, a coarse emulsifier, a fine emulsifier, a distributor, a steel belt conveying motor, a cold water pump, a screw material distribution motor and a sensitizer pump. The equipment operation data is compared and analyzed with the equipment operation standard data in the emulsion explosive production index to determine whether the equipment operation data is the same as the equipment operation standard data in the emulsion explosive production index. If so, the emulsion explosive equipment parameter coefficient SBX is 1, if not, the emulsion explosive equipment parameter coefficient SBX is 0.

[0089] In some embodiments, obtaining the emulsion explosive production safety index based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient specifically includes the following process:

[0090] Substitute the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient into the emulsion explosive production safety index calculation formula to calculate the emulsion explosive production safety index LMZ, which is as follows:

[0091] ;

[0092] in, is the process parameter coefficient of emulsion explosive, SBX is the equipment parameter coefficient of emulsion explosive, and the value of e is 2.72.

[0093] In some embodiments, calculating the thermal explosion performance index based on the thermal explosion performance data specifically includes the following process:

[0094] Based on the thermal explosion performance data, the chemical reaction kinetic characteristics of emulsion explosives and the specific parameters of their thermal decomposition kinetics are obtained: reaction order n, reaction activation energy , pre-frequency factor And the heat of reaction per unit mass Q;

[0095] Get the universal molar gas constant , the heat released per unit mass of reactants , thermal conductivity , the density of the reactants , the base radius d of the reactant, the constant volume specific heat capacity c of the reactant;

[0096] Calculate the thermal conductivity parameter W:

[0097] ;

[0098] Calculation of critical explosion temperature based on thermal conductivity parameter W :

[0099] ;

[0100] Based on critical explosion temperature Thermal explosion performance index :

[0101] .

[0102] Furthermore, judging whether the emulsion explosive meets the filling conditions based on the thermal explosion performance index specifically includes the following process:

[0103] A thermal explosion performance index threshold is loaded, wherein the thermal explosion performance index threshold is stored in the system, and it is determined whether the thermal explosion performance index exceeds the thermal explosion performance index threshold. If so, the emulsion explosive meets the filling condition; if not, the emulsion explosive does not meet the filling condition.

[0104] Furthermore, obtaining the emulsion explosive production safety index, analyzing and processing the emulsion explosive production safety index, and generating a production safety early warning signal specifically include the following processes:

[0105] Load the emulsion explosive production safety index threshold value, which is stored in the system, and determine whether the emulsion explosive production safety index exceeds the emulsion explosive production safety index threshold value. If so, generate a production safety warning signal, otherwise, do not generate a production safety warning signal.

[0106] In some embodiments, Figure 3 : is a workflow diagram of a remote monitoring and control method for explosive filling based on industrial Internet of Things according to an embodiment of the present invention, such as Figure 3 As shown, the method comprises the following steps:

[0107] Step S301: obtaining emulsion explosive production data during the emulsion explosive production process, and obtaining thermal explosion performance data of the emulsion explosive;

[0108] Step S302: Comparative analysis is performed on the emulsion explosive production data based on the emulsion explosive production index to obtain the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient, and the emulsion explosive production safety index is obtained based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient;

[0109] Step S303: Calculate a thermal explosion performance index based on the thermal explosion performance data, and judge whether the emulsion explosive meets the filling condition based on the thermal explosion performance index. If yes, generate a signal indicating that the emulsion explosive meets the filling condition; if not, generate a signal indicating that the emulsion explosive does not meet the filling condition;

[0110] Step S304: obtaining the emulsion explosive production safety index, analyzing and processing the emulsion explosive production safety index, and generating a production safety warning signal; used to receive a signal indicating that the emulsion explosive does not meet the filling condition, and generate a filling warning signal.

[0111] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0112] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0113] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0114] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0115] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] 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. The remote monitoring and control system for explosive filling based on industrial Internet of Things is characterized by: The system includes an explosive monitoring data acquisition module, an explosive monitoring data analysis module, an explosive filling judgment module and an early warning module; An explosive monitoring data acquisition module is used to acquire the emulsion explosive production data during the emulsion explosive production process and to acquire the thermal explosion performance data of the emulsion explosive; The explosive monitoring data analysis module is used to compare and analyze the emulsion explosive production data based on the emulsion explosive production index, obtain the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient, and obtain the emulsion explosive production safety index based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient; Among them, the comparative analysis of emulsion explosive production data based on emulsion explosive production indicators and the acquisition of emulsion explosive process parameter coefficients specifically include the following processes: Based on the emulsion explosive production data, the water phase melting tank temperature in the preparation process of the water phase material is obtained; based on the emulsion explosive production index, the water phase melting reference temperature in the preparation process of the water phase material is obtained; a rectangular coordinate system is established with the preparation period of the water phase material as the X-axis and the water phase melting tank temperature as the Y-axis; a water phase melting tank curve is drawn in the rectangular coordinate system by the water phase melting tank temperature in the preparation period; two truncation line segments are obtained by drawing perpendicular lines from the two end points of the water phase melting tank curve to the X-axis; a water phase melting tank graph is formed by the water phase melting tank curve, the two truncation line segments and the X-axis; the area value of the water phase melting tank graph is calculated; the product value of the preparation period and the water phase melting reference temperature is calculated; the difference between the area value and the product value is calculated; and the difference is recorded as the water phase melting tank temperature change value A; The water phase storage tank temperature is obtained based on the emulsion explosive production data, the water phase storage tank reference temperature is obtained based on the emulsion explosive production index, and the difference B between the water phase storage tank temperature and the water phase storage tank reference temperature is calculated; The oil phase storage tank temperature is obtained based on the emulsion explosive production data, the oil phase storage tank reference temperature is obtained based on the emulsion explosive production index, and the difference C between the oil phase storage tank temperature and the oil phase storage tank reference temperature is calculated; Based on the emulsion explosive production data, the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate are obtained, and based on the emulsion explosive production index, it is determined whether the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate have all reached the preset reference flow rate. If so, the emulsion explosive production flow coefficient R is 1, and if not, the emulsion explosive production flow coefficient R is 0; Substitute the temperature change value A, difference B, difference C of the water phase melting tank and the emulsion explosive production flow coefficient R into the emulsion explosive process parameter coefficient calculation formula to calculate the emulsion explosive process parameter coefficient GYX, which is as follows: ； in, , , is the weight coefficient, set by the system, and , is the reference temperature of water phase melting during the preparation of water phase materials, is the reference temperature of the water phase storage tank, is the reference temperature of the oil phase storage tank, and the value of e is 2.72; The comparative analysis of emulsion explosive production data based on emulsion explosive production indicators and the acquisition of emulsion explosive equipment parameter coefficients specifically include the following processes: Based on the emulsion explosive production data, the equipment operation data of the emulsion explosive production line is obtained, wherein the equipment includes a screw conveying motor, an oil-water dissolving tank motor, an oil-water phase storage tank motor, an oil-water phase pump, a rough emulsifier, a fine emulsifier, a distributor, a steel belt conveying motor, a cold water pump, a screw material distribution motor and a sensitizer pump, and the equipment operation data is compared and analyzed with the equipment operation standard data in the emulsion explosive production index to determine whether the equipment operation data is the same as the equipment operation standard data in the emulsion explosive production index. If so, the emulsion explosive equipment parameter coefficient SBX is 1, otherwise, the emulsion explosive equipment parameter coefficient SBX is 0; The specific process of obtaining the emulsion explosive production safety index based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient includes the following: Substitute the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient into the emulsion explosive production safety index calculation formula to calculate the emulsion explosive production safety index LMZ, which is as follows: ； in, is the process parameter coefficient of emulsion explosive, SBX is the equipment parameter coefficient of emulsion explosive, and the value of e is 2.72; An explosive filling judgment module is used to calculate a thermal explosion performance index based on the thermal explosion performance data, and judge whether the emulsion explosive meets the filling conditions based on the thermal explosion performance index. If yes, a signal that the emulsion explosive meets the filling conditions is generated; if not, a signal that the emulsion explosive does not meet the filling conditions is generated; The early warning module is used to obtain the production safety index of emulsion explosives, analyze and process the production safety index of emulsion explosives, and generate a production safety early warning signal; it is used to receive the signal that the emulsion explosives do not meet the filling conditions and generate a filling early warning signal.

2. The remote monitoring and control system for explosive filling based on industrial Internet of Things according to claim 1 is characterized in that: The specific process of calculating the thermal explosion performance index based on the thermal explosion performance data is as follows: Based on the thermal explosion performance data, the chemical reaction kinetic characteristics of emulsion explosives and the specific parameters of their thermal decomposition kinetics are obtained: reaction order n, reaction activation energy , pre-frequency factor And the heat of reaction per unit mass Q; Get the universal molar gas constant , the heat released per unit mass of reactants , thermal conductivity , the density of the reactants , the base radius of the reactant , the constant volume specific heat capacity c of the reactants; Calculate the thermal conductivity parameter W: ； Calculation of critical explosion temperature based on thermal conductivity parameter W : ； Based on critical explosion temperature Thermal explosion performance index : 。 3. The remote monitoring and control system for explosive filling based on industrial Internet of Things according to claim 1 is characterized in that: Judging whether emulsion explosives meet filling conditions based on thermal explosion performance index The process includes: A thermal explosion performance index threshold is loaded, wherein the thermal explosion performance index threshold is stored in the system, and it is determined whether the thermal explosion performance index exceeds the thermal explosion performance index threshold. If so, the emulsion explosive meets the filling condition; if not, the emulsion explosive does not meet the filling condition.

4. The remote monitoring and control system for explosive filling based on industrial Internet of Things according to claim 1 is characterized in that: Obtain the emulsion explosive production safety index, analyze and process the emulsion explosive production safety index, and generate production safety early warning signals. The process includes: Load the emulsion explosive production safety index threshold value, which is stored in the system, and determine whether the emulsion explosive production safety index exceeds the emulsion explosive production safety index threshold value. If so, generate a production safety warning signal, otherwise, do not generate a production safety warning signal.

5. The remote monitoring and control method for explosive filling based on industrial Internet of Things is characterized in that: The remote monitoring and control system for explosive filling based on industrial Internet of Things applicable to any one of claims 1 to 4 comprises: Obtaining emulsion explosive production data during the emulsion explosive production process, and obtaining thermal explosion performance data of emulsion explosives; Based on the emulsion explosive production index, the emulsion explosive production data is compared and analyzed to obtain the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient, and the emulsion explosive production safety index is obtained based on the emulsion explosive process parameter coefficient and the emulsion explosive equipment parameter coefficient; Among them, the comparative analysis of emulsion explosive production data based on emulsion explosive production indicators and the acquisition of emulsion explosive process parameter coefficients specifically include the following processes: Based on the emulsion explosive production data, the water phase melting tank temperature in the preparation process of the water phase material is obtained; based on the emulsion explosive production index, the water phase melting reference temperature in the preparation process of the water phase material is obtained; a rectangular coordinate system is established with the preparation period of the water phase material as the X-axis and the water phase melting tank temperature as the Y-axis; a water phase melting tank curve is drawn in the rectangular coordinate system by the water phase melting tank temperature in the preparation period; two truncation line segments are obtained by drawing perpendicular lines from the two end points of the water phase melting tank curve to the X-axis; a water phase melting tank graph is formed by the water phase melting tank curve, the two truncation line segments and the X-axis; the area value of the water phase melting tank graph is calculated; the product value of the preparation period and the water phase melting reference temperature is calculated; the difference between the area value and the product value is calculated; and the difference is recorded as the water phase melting tank temperature change value A; The water phase storage tank temperature is obtained based on the emulsion explosive production data, the water phase storage tank reference temperature is obtained based on the emulsion explosive production index, and the difference B between the water phase storage tank temperature and the water phase storage tank reference temperature is calculated; The oil phase storage tank temperature is obtained based on the emulsion explosive production data, the oil phase storage tank reference temperature is obtained based on the emulsion explosive production index, and the difference C between the oil phase storage tank temperature and the oil phase storage tank reference temperature is calculated; Based on the emulsion explosive production data, the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate are obtained, and based on the emulsion explosive production index, it is determined whether the water phase flow rate, the oil phase flow rate, the sensitizer flow rate and the cooling water flow rate have all reached the preset reference flow rate. If so, the emulsion explosive production flow coefficient R is 1, and if not, the emulsion explosive production flow coefficient R is 0; Substitute the temperature change value A, difference B, difference C of the water phase melting tank and the emulsion explosive production flow coefficient R into the emulsion explosive process parameter coefficient calculation formula to calculate the emulsion explosive process parameter coefficient GYX, which is as follows: ； in, , , is the weight coefficient, set by the system, and , is the reference temperature of water phase melting during the preparation of water phase materials, is the reference temperature of the water phase storage tank, is the reference temperature of the oil phase storage tank, and the value of e is 2.72; Based on the emulsion explosive production index, the comparative analysis of the emulsion explosive production data and the acquisition of the emulsion explosive equipment parameter coefficients specifically include the following processes: Based on the emulsion explosive production data, the equipment operation data of the emulsion explosive production line is obtained, wherein the equipment includes a screw conveying motor, an oil-water dissolving tank motor, an oil-water phase storage tank motor, an oil-water phase pump, a rough emulsifier, a fine emulsifier, a distributor, a steel belt conveying motor, a cold water pump, a screw material distribution motor and a sensitizer pump, and the equipment operation data is compared and analyzed with the equipment operation standard data in the emulsion explosive production index to determine whether the equipment operation data is the same as the equipment operation standard data in the emulsion explosive production index. If so, the emulsion explosive equipment parameter coefficient SBX is 1, otherwise, the emulsion explosive equipment parameter coefficient SBX is 0; A thermal explosion performance index is calculated based on the thermal explosion performance data, and whether the emulsion explosive meets the filling condition is judged based on the thermal explosion performance index. If so, a signal indicating that the emulsion explosive meets the filling condition is generated; if not, a signal indicating that the emulsion explosive does not meet the filling condition is generated; Obtain the emulsion explosive production safety index, analyze and process the emulsion explosive production safety index, and generate a production safety warning signal; receive the emulsion explosive does not meet the filling condition signal, and generate a filling warning signal.

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