A smoke removal efficiency detection system for welding process

Abstract

The present invention relates to the technical field of smoke detection equipment, and discloses a smoke removal efficiency detection system for welding, including a smoke sampling module, an analysis detection module and a control processing module. The smoke removal efficiency detection system for welding collects detection data sets through the smoke collection module, the analysis detection module calculates the filtering time #imgabs0# through the filtering detection unit, the concentration detection unit calculates the smoke concentration difference #imgabs1#, the control processing module calculates the balance index #imgabs2#, and synchronously grasps the smoke filtering progress and concentration, and the detection is accurate without stopping. The control processing module judges and evaluates the dust removal effect according to the balance index #imgabs3# and the reference data set, generates a signal, transmits the display unit to connect the display panel output, adjusts the alarm unit to connect the welding smoke vacuum cleaner and the alarm, adjusts the filtering rate, effectively reduces the energy consumption and production cost of the operation room, and saves energy and detects low energy consumption.

Description

Technical Field

[0001] The invention relates to the technical field of smoke detection equipment, and in particular to a smoke removal efficiency detection system used in a welding process. Background Art

[0002] The fume removal efficiency detection system during welding is a device used to evaluate and monitor the impact of fume generated during welding on the environment and human health. This system helps engineers and operators understand the source, nature and impact of fume by collecting, analyzing and reporting welding fume data, so as to take effective measures to reduce the harm of fume to the environment and human health.

[0003] The working principle of the welding fume dust removal efficiency detection system is to monitor the fume generated during the welding process in real time, analyze its composition, concentration, particle size and other parameters, and evaluate the performance and effect of the dust removal equipment. Collect the fume samples generated during the welding process, and then analyze the samples to determine its composition and concentration and other information, and then integrate them into an accurate and clear report through the system to help users understand the nature and impact of the fume. The main components of the welding fume dust removal efficiency detection system include fume samplers, analytical instruments, data processing and display equipment. The fume sampler is used to collect fume samples generated during the welding process. The type and performance of the sampler directly affect the accuracy and reliability of the test results. Common fume samplers include cartridge type, electrostatic type, wet type, etc. The analytical instrument is used to analyze the collected fume samples to determine its composition, concentration and particle size and other parameters. The type and performance of the analytical instrument will also affect the accuracy and reliability of the test results. Common analytical instruments include spectrometers, chromatographs, mass spectrometers, etc. The data processing and display equipment is used to transmit, process and display the data obtained by the analytical instrument to form an easy-to-understand report. These devices can be dedicated data processing software or general-purpose computer systems. The welding fume removal efficiency detection system is mainly used in environmental protection, occupational health, quality management, and R&D optimization. By monitoring the fume generated during welding and evaluating the performance and effect of dust removal equipment, it can provide a basis for the formulation and implementation of environmental protection policies. In addition, the fume generated during welding may cause harm to human health. By monitoring the composition and concentration of the fume, its impact on the health of workers can be evaluated, providing a basis for the formulation and implementation of occupational health policies. The welding fume removal efficiency detection system can not only evaluate the quality and effect of the welding process, provide a basis for improving product quality, but also provide data support for the research and development of new dust removal equipment and technologies. The research and development and optimization of more advanced welding fume removal efficiency detection systems can promote the development of new dust removal equipment and technologies with higher efficiency, and also help improve the quality and effect of the welding process and ensure the health and safety of operators.

[0004] The welding process generally includes multiple different process stages. The process of each process stage is different, so the amount of smoke generated is also different. At present, the traditional welding smoke dust removal efficiency detection system needs to stop the machine to separately detect the filter cartridge dust removal efficiency. However, in the actual production process, it is impossible to detect the filter cartridge dust removal efficiency for each batch of production, which leads to the inability to timely discover the situation where the filtering emissions do not meet the standards, which directly affects the health of production personnel and environmental emissions. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the shortcomings of the prior art, the present invention provides a smoke removal efficiency detection system for the welding process, which has the advantages of accurate detection without stopping the machine and low energy consumption for energy-saving detection. It solves the problem that stopping the machine to detect the dust removal efficiency alone may easily lead to filtering emissions not meeting the standards.

[0007] (II) Technical solution

[0008] To achieve the above-mentioned object, the present invention provides the following technical solutions: a system for detecting smoke removal efficiency during welding, comprising a smoke sampling module, an analysis and detection module, and a control and processing module;

[0009] The smoke sampling module includes a production dust removal unit and a gas monitoring unit. The production dust removal unit collects dust removal data sets in real time through multiple welding smoke vacuum cleaners and transmits them to the analysis and detection module through the network. The gas monitoring unit collects gas data sets every 5 minutes through multiple smoke samplers and transmits them to the analysis and detection module through the network. The detection data set consists of a dust removal data set and a gas data set. The smoke sampling module is connected to the analysis and detection module through the network.

[0010] The analysis and detection module numbers the dust removal data set and the gas data set according to the characteristics of the detection data set. The analysis and detection module establishes a reference data set through a database and numbers it. The reference data set number corresponds to the detection data set number one by one. The analysis and detection module includes a filtration detection unit and a concentration detection unit. The filtration detection unit calculates the filtration time according to the detection data set and the reference data set. and transmitted to the control processing module through the network. The concentration detection unit calculates the smoke concentration difference according to the detection data set. and transmitted to the control processing module via the network, and the analysis and detection module is connected to the control processing module via the network;

[0011] The control processing module is based on the filtering time Difference between smoke concentration and , calculate the balance index The control processing module is based on the balance index and reference data sets, judge and evaluate the dust removal effect, generate signals, the control processing module includes a transmission display unit and an adjustment alarm unit, the transmission display unit outputs data through a network connection display panel according to the signal, and the adjustment alarm unit connects and controls the welding smoke vacuum cleaner and alarm according to the signal.

[0012] Preferably, the analysis and detection module numbers the dust removal data set and the gas data set according to the detection data set characteristics, and the dust removal data set is numbered as follows: , , ,... , the gas data set number is , , ,... .

[0013] Preferably, the analysis and detection module establishes a reference data set through a database and numbers it, and the reference data set number corresponds to the detection data set number one by one. , , and .

[0014] Preferably, the filtering detection unit calculates the filtering time according to the detection data set and the reference data set. , and its calculation formula is as follows:

[0015]

[0016] In the formula, Indicates the filtering time. represents the spatial reference volume between operations, Indicates the actual dust removal rate of the welding fume vacuum cleaner.

[0017] Preferably, the concentration detection unit calculates the smoke concentration difference according to the detection data set. , and its calculation formula is as follows:

[0018]

[0019] In the formula, Indicates the difference in smoke concentration, Indicates the difference between the first and second smoke concentrations in the operation room. Indicates the actual smoke concentration value of the operating room for the third time. Indicates the difference between the fourth and fifth smoke concentrations in the operating room.

[0020] Preferably, the control processing module is based on the filtering time Difference between smoke concentration and , calculate the balance index , and its calculation formula is as follows:

[0021]

[0022] In the formula, represents the balance index, Indicates the difference between the reference filtering time and the actual filtering time. Indicates the difference between the reference smoke concentration difference and the actual smoke concentration difference.

[0023] Preferably, the control processing module is based on the balance index and reference data set, to judge and evaluate the dust removal effect, the balance index Both data are lower than the reference balance index When the dust removal effect is judged to be excellent, a transmission display signal is generated, and the balance index Any item is higher than the reference balance index When the dust removal effect is evaluated as poor, an adjustment alarm signal is generated.

[0024] Preferably, the transmission display unit is connected to the display panel through the network according to the transmission display signal, and outputs the display filtering time. , smoke concentration difference and balance index data.

[0025] Preferably, the regulating alarm unit is connected to and controls the welding fume collector and the alarm according to the regulating alarm signal, and the regulating alarm unit adjusts and speeds up the filtering rate of the welding fume collector, and controls the alarm to prompt the operator to leave the operating room.

[0026] Preferably, the single group of dust removal equipment consists of a welding smoke collector and a smoke sampler, a group of dust removal equipment is fixedly installed in each operating room, and the smoke removal efficiency detection system for the welding process is electrically connected to multiple groups of dust removal equipment.

[0027] Compared with the prior art, the present invention provides a system for detecting smoke and dust removal efficiency during welding, which has the following beneficial effects:

[0028] 1. The present invention sets a production dust removal unit and a gas monitoring unit to collect a detection data set through a smoke collection module. The detection data set consists of a dust removal data set collected in real time by the production dust removal unit and a gas data set collected every 5 minutes by the gas monitoring unit. The analysis detection module calculates the filtration time through the filtration detection unit. , quickly calculate the duration of the ventilation cycle of the entire space of the current operation room, so as to facilitate the subsequent reference duration to judge and evaluate the dust removal effect, and the concentration detection unit calculates the difference in smoke concentration , real-time monitoring of smoke dust removal effect, to avoid smoke dust filtration emissions not meeting standards due to equipment failure, control the processing module according to the filtration time Difference between smoke concentration and , calculate the balance index , synchronously grasp the smoke filtration progress and actual smoke concentration, accurately detect without stopping, and effectively protect the health of operators.

[0029] 2. The present invention controls the processing module according to the balance index and reference data sets, judge and evaluate whether the dust removal effect is good or poor, generate transmission display or adjustment alarm signal, the transmission display unit connects to the display panel through the network according to the transmission display signal, and outputs the display filtering time , smoke concentration difference and balance index Data, adjust the alarm unit to connect and control the welding smoke vacuum cleaner and alarm according to the signal, adjust the alarm unit to speed up the filtering rate of the welding smoke vacuum cleaner, and control the alarm to remind the operator to leave the operation room, perform energy-saving detection according to the actual dust removal effect, and adjust the filtering rate, which can effectively reduce the energy consumption and production costs of the operation room, and the energy-saving detection has low energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the structural system of the present invention. DETAILED DESCRIPTION

[0031] 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.

[0032] See also Figure 1 , a smoke removal efficiency detection system for welding process, including a smoke sampling module, an analysis and detection module and a control and processing module;

[0033] The smoke sampling module includes a production dust removal unit and a gas monitoring unit. The production dust removal unit collects dust removal data sets in real time through multiple welding smoke vacuum cleaners and transmits them to the analysis and detection module through the network. The gas monitoring unit collects gas data sets every 5 minutes through multiple smoke samplers and transmits them to the analysis and detection module through the network. The detection data sets consist of dust removal data sets and gas data sets. The smoke sampling module is connected to the analysis and detection module through the network.

[0034] The analysis and detection module numbers the dust removal dataset and the gas dataset according to the characteristics of the detection dataset. The dust removal dataset is numbered as , , ,... The numbers correspond to the dust removal rates of different gears of the welding smoke vacuum cleaner, and the gas data set numbers are , , ,... The number corresponds to the actual smoke concentration value collected by the smoke sampler every 5 minutes. The analysis and detection module establishes a reference data set through the database and numbers it. The reference data set number is , , and The reference data set number corresponds to the detection data set number one by one. The number corresponds to the reference volume of a single operating room, the reference dust removal and filtration time of the operating room, the reference value of smoke concentration and the reference balance index. The analysis and detection module includes a filtration detection unit and a concentration detection unit. The filtration detection unit calculates the filtration time according to the detection data set and the reference data set. , and transmitted to the control processing module through the network. The calculation formula is as follows:

[0035]

[0036] In the formula, Indicates the filtering time. represents the spatial reference volume between operations, Indicates the actual dust removal rate of the welding smoke vacuum cleaner, based on the filtration time , can quickly calculate the duration of the ventilation cycle of the entire space of the current operation room, which is convenient for subsequent reference to judge and evaluate the dust removal effect, and the test results are more accurate;

[0037] The concentration detection unit calculates the smoke concentration difference based on the detection data set. , and transmitted to the control processing module through the network. The calculation formula is as follows:

[0038]

[0039] In the formula, Indicates the difference in smoke concentration, Indicates the difference between the first and second smoke concentrations in the operation room. Indicates the actual smoke concentration value of the operating room for the third time. Indicates the difference between the fourth and fifth smoke concentrations in the operation room. , can quickly analyze the actual smoke concentration value in the operating room and the difference between the smoke concentration before and after, realize real-time monitoring of the smoke removal effect, and avoid the situation where the smoke filtration emission does not meet the standard due to equipment failure;

[0040] The analysis and detection module controls the processing module through network connection and sets the filtering time , smoke concentration difference and balance index Transmit to the control processing module;

[0041] The control processing module is based on the filtering time Difference between smoke concentration and , calculate the balance index , and its calculation formula is as follows:

[0042]

[0043] In the formula, represents the balance index, Indicates the difference between the reference filtering time and the actual filtering time. Indicates the difference between the reference smoke concentration difference and the actual smoke concentration difference, according to the balance index , can simultaneously grasp the smoke filtration progress and actual smoke concentration, without stopping the machine for detection, with high detection efficiency, effectively protecting the health of operators and avoiding occupational diseases;

[0044] The control processing module is based on the balance index and reference data set to judge and evaluate dust removal effect and balance index Both data are lower than the reference balance index When the dust removal effect is judged to be excellent, a transmission display signal is generated, and a balance index Any item is higher than the reference balance index When the dust removal effect is judged to be poor, an adjustment alarm signal is generated. The control processing module includes a transmission display unit and an adjustment alarm unit. The transmission display unit is connected to the display panel through the network according to the transmission display signal, and outputs the display filtering time. , smoke concentration difference and balance index Data, adjust the alarm unit to connect and control the welding smoke vacuum cleaner and alarm according to the signal, adjust the alarm unit to speed up the welding smoke vacuum cleaner filtration rate, and control the alarm to remind the operator to leave the operation room, perform energy-saving detection according to the actual smoke effect, and adjust the filtration rate, which can effectively reduce the energy consumption and production cost of the operation room;

[0045] A single set of dust removal equipment consists of a welding fume vacuum cleaner and a fume sampler. Since the welding process generally includes multiple different process stages, the process of each process stage is different, and the amount of fume generated is also different. A set of dust removal equipment is fixedly installed in each operation room. The fume removal efficiency detection system used in the welding process is electrically connected to multiple sets of dust removal equipment. The detection is accurate without shutting down, and the energy-saving detection has low energy consumption.

[0046] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A system for detecting smoke removal efficiency during welding, characterized in that: It includes a smoke sampling module, an analysis and detection module, and a control and processing module; The smoke sampling module includes a production dust removal unit and a gas monitoring unit. The production dust removal unit collects dust removal data sets in real time through multiple welding smoke vacuum cleaners, and transmits them to the analysis and detection module through the network. The gas monitoring unit collects gas data sets every 5 minutes through multiple smoke samplers, and transmits them to the analysis and detection module through the network. The dust removal data set and the gas data set constitute a detection data set. The smoke sampling module is connected to the analysis and detection module through the network; The analysis and detection module numbers the dust removal data set and the gas data set according to the characteristics of the detection data set. The analysis and detection module establishes a reference data set through a database and numbers it. The number of the reference data set corresponds to the number of the detection data set one by one. The analysis and detection module includes a filtration detection unit and a concentration detection unit. The filtration detection unit calculates the filtration time according to the detection data set and the reference data set. and transmitted to the control processing module through the network. The concentration detection unit calculates the smoke concentration difference according to the detection data set. and transmitted to the control processing module via the network, and the analysis and detection module is connected to the control processing module via the network; The control processing module is based on the filtering time Difference between smoke concentration and , calculate the balance index The control processing module is based on the balance index and reference data sets, judge and evaluate the dust removal effect, generate signals, the control processing module includes a transmission display unit and an adjustment alarm unit, the transmission display unit outputs data through a network connection display panel according to the signal, and the adjustment alarm unit connects and controls the welding smoke vacuum cleaner and alarm according to the signal.

2. A smoke removal efficiency detection system for welding according to claim 1, characterized in that: The analysis and detection module numbers the dust removal data set and the gas data set according to the detection data set characteristics. The dust removal data set is numbered as follows: , , ,... , the gas data set number is , , ,... .

3. A smoke removal efficiency detection system for welding according to claim 2, characterized in that: The analysis and detection module establishes a reference data set through a database and numbers it. The reference data set number corresponds to the detection data set number one by one. The reference data set number is , , and .

4. A smoke removal efficiency detection system for welding according to claim 3, characterized in that: The filtering detection unit calculates the filtering time according to the detection data set and the reference data set. , and its calculation formula is as follows: In the formula, Indicates the filtering time. represents the spatial reference volume between operations, Indicates the actual dust removal rate of the welding fume vacuum cleaner.

5. The smoke removal efficiency detection system for welding process according to claim 3 is characterized in that: The concentration detection unit calculates the smoke concentration difference based on the detection data set. , and its calculation formula is as follows: In the formula, Indicates the difference in smoke concentration, Indicates the difference between the first and second smoke concentrations in the operation room. Indicates the actual smoke concentration value of the operating room for the third time. Indicates the difference between the fourth and fifth smoke concentrations in the operating room.

6. A smoke removal efficiency detection system for welding according to claim 1, characterized in that: The control processing module is based on the filtering time Difference between smoke concentration and , calculate the balance index , and its calculation formula is as follows: In the formula, represents the balance index, Indicates the difference between the reference filtering time and the actual filtering time. Indicates the difference between the reference smoke concentration difference and the actual smoke concentration difference.

7. A smoke removal efficiency detection system for welding according to claim 6, characterized in that: The control processing module is based on the balance index and reference data set, to judge and evaluate the dust removal effect, the balance index Both data are lower than the reference balance index When the dust removal effect is judged to be excellent, a transmission display signal is generated, and the balance index Any item is higher than the reference balance index When the dust removal effect is evaluated as poor, an adjustment alarm signal is generated.

8. A smoke removal efficiency detection system for welding according to claim 7, characterized in that: The transmission display unit is connected to the display panel through the network according to the transmission display signal, and outputs the display filtering time. , smoke concentration difference and balance index data.

9. A system for detecting smoke removal efficiency during welding according to claim 7, characterized in that: The regulating alarm unit is connected to and controls the welding smoke vacuum cleaner and the alarm according to the regulating alarm signal. The regulating alarm unit adjusts and speeds up the filtering rate of the welding smoke vacuum cleaner and controls the alarm to prompt the operator to leave the operating room.

10. The smoke removal efficiency detection system for welding process according to claim 1, characterized in that: One welding smoke vacuum cleaner and one smoke sampler form a group of dust removal equipment, and one group of dust removal equipment corresponds to one operating room. The smoke removal efficiency detection system for welding is electrically connected to multiple groups of dust removal equipment.

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