Kiln equipment operation condition visual monitoring system based on Internet of Things

Abstract

The invention relates to the field of kiln equipment, in particular to a kiln equipment operation condition visual monitoring system based on the Internet of Things, and aims to solve the problem that the operation condition of a kiln cannot be comprehensively and visually monitored due to few monitoring categories and low multi-sample collection frequency when the operation condition of the kiln is monitored. Comprising a work acquisition module, an informatization processing module and a real-time display module. According to the invention, when the operation condition of the kiln equipment is monitored, the data comprehensiveness in the monitoring process of the operation condition of the kiln equipment is improved through comprehensive acquisition of the working temperature, the gas atmosphere, the pressure and the ventilation factors, and meanwhile, the number of temperature monitoring samples is increased through a same-frequency acquisition mode, so that the monitoring accuracy of the operation condition of the kiln equipment is improved. The temperature of different areas can be detected, and the temperature of the area without the temperature detection point position in the whole kiln equipment can be deduced, so that the temperature of the kiln equipment can realize the comprehensive coverage of the temperature detection point position in a simulation expansion mode.

Description

Technical Field

[0001] The present invention relates to the field of kiln equipment, and in particular to a kiln equipment operating condition visualization monitoring system based on the Internet of Things. Background Art

[0002] A kiln is a furnace used to fire ceramics and sculptures or to fuse enamel to the surface of metal objects. It is usually made of bricks and stones and can be made into various sizes according to needs. It can be operated by combustible gas, oil or electricity. Electric kilns are easier to control temperature than kilns using combustible gas and oil. With the development of technology, the structure of kiln production lines is getting longer and longer, and each kiln production line involves multiple operating equipment. In order to improve production efficiency, most of them use multiple kiln production lines to operate simultaneously. In related technologies, the number of kiln production lines is large and the production line structure is long. The parameter monitoring of kiln production lines is difficult to display intuitively, and it is difficult to intuitively determine the production equipment associated with its upstream and downstream when monitoring a certain production equipment. There may be parameter confusion, coordination difficulties and response delays. The parameter monitoring of kilns has the problem of poor visualization, which in turn affects the user's coordinated operation and maintenance efficiency of kiln production lines; At present, the existing patent application CN2020232792128 discloses a technical solution, which detects the temperature of the kiln through a movable temperature detection device, thereby increasing the temperature sampling area when detecting the temperature of the kiln, and can improve the comprehensiveness of sampling to a certain extent. However, when the temperature detection structure in the invention is moving, it can only detect the temperature of different areas at different times, and cannot detect the temperature of all positions at the same time, so that there are differences in the collection time between the multiple groups of temperature samples obtained. When analyzing the multiple groups of temperature samples, there are time interference factors, and the frequency consistency of the data cannot be guaranteed. At the same time, the solution only collects the temperature, which makes the operation monitoring means of the kiln single and cannot comprehensively monitor the operation conditions of the kiln; In view of the above technical problems, this application proposes a solution. Summary of the invention

[0003] In the present invention, when monitoring the operating condition of the kiln equipment, the working temperature, gas atmosphere, pressure and ventilation factors are comprehensively collected, thereby improving the comprehensiveness of the data in the process of monitoring the operating condition of the kiln equipment, and at the same time increasing the number of temperature monitoring samples by collecting data at the same frequency, which can detect the temperature of different areas and infer the temperature of the area where no temperature detection point is set in the entire kiln equipment, so that the temperature of the kiln equipment can be fully covered by the temperature detection points through simulation expansion, solving the problem of few monitoring categories and low same frequency of multi-sample collection when monitoring the operating condition of the kiln, thus making it impossible to perform comprehensive visual monitoring of the operating condition of the kiln, and proposing a visual monitoring system for the operating condition of kiln equipment based on the Internet of Things.

[0004] The purpose of the present invention can be achieved through the following technical solutions: The kiln equipment operating condition visualization monitoring system based on the Internet of Things includes a work collection module, an information processing module and a real-time display module, wherein the work collection module is used to summarize various operating conditions during the operation of the kiln equipment and send the summarized operating conditions to the information processing module; The information processing module adds a time tag to the received operating conditions, and constructs the change of each operating condition through the time tag, thereby forming an operating condition evolution process. The information processing module uses image processing software to visualize the operating condition evolution process and the real-time operating condition, and obtains a visualization result of the operating condition evolution process and a visualization result of the real-time operating condition; The real-time display module displays the visualization results of the working condition evolution process and the visualization results of the real-time operating conditions; The working collection module includes a working temperature collection unit, a gas atmosphere collection unit, a pressure factor collection unit and a ventilation collection unit; The working temperature collection unit is used to collect the working temperature in the kiln equipment; The gas atmosphere collection unit is used to collect the gas composition and content of the composition in the kiln equipment; The pressure factor collection unit is used to collect the gas pressure in the kiln equipment; The ventilation collection unit is used to collect the ventilation volume in the kiln equipment.

[0005] As a preferred embodiment of the present invention, when the working temperature acquisition unit acquires the temperature in the furnace equipment, the temperature is acquired through temperature sensors at multiple different positions, and the temperature acquired at each acquisition point is recorded as a point temperature; The working temperature acquisition unit generates a three-dimensional model of the furnace equipment, marks point temperatures in the three-dimensional model of the furnace equipment, and performs temperature distribution curve fitting according to the marked multiple point temperatures, thereby obtaining a temperature distribution surface on the furnace equipment.

[0006] As a preferred embodiment of the present invention, the gas atmosphere collection unit collects the gas composition and gas content in the kiln equipment, generates a gas component result, sums all gas contents in the gas component result, and calculates the difference between the sum result and 100%. If the sum result is greater than 100%, a collection abnormality signal is generated. If the sum result is less than 100%, the difference between the sum result and 100% is calculated and recorded as a miscellaneous component, and the miscellaneous component is added to the gas component result.

[0007] As a preferred embodiment of the present invention, when the pressure factor collection unit collects the gas pressure in the kiln equipment, it first collects the gas pressure at a preset basic time interval to obtain at least two groups of gas pressures, and compares the two groups of gas pressures to obtain a gas pressure ratio. If the gas pressure ratio is greater than the set ratio, it is recorded as pressure fluctuation, and if the gas pressure ratio is not greater than the set ratio, it is recorded as pressure stability. After obtaining the pressure fluctuation, the pressure factor acquisition unit shortens the preset basic time interval and continues to collect the gas pressure through the short basic time interval; After the pressure is stabilized, the pressure factor acquisition unit does not change the preset basic time interval and directly performs acquisition at the preset basic time interval.

[0008] As a preferred embodiment of the present invention, after the number of consecutive acquisitions of pressure stability reaches a preset number, the pressure factor unit extends a preset basic time interval and continues to collect gas pressure through the extended basic time interval.

[0009] As a preferred embodiment of the present invention, when the ventilation collection unit collects the ventilation volume in the furnace equipment, multiple groups of wind speed sensors are set in the air inlet channel, and the arithmetic average of the multiple groups of wind speeds collected is performed to obtain the average wind speed, and the air intake volume is calculated based on the average wind speed and the cross-sectional area of ​​the air inlet channel.

[0010] As a preferred embodiment of the present invention, the method for the working temperature acquisition unit to generate the temperature distribution surface of the furnace equipment is: The working temperature acquisition unit connects two adjacent groups of point temperatures, marks the two groups of point temperatures as a starting point and an ending point, and calculates the temperature difference between the point temperatures of the starting point and the ending point. The working temperature acquisition unit sets a plurality of virtual points at equal intervals on the connecting line, and evenly distributes the temperature difference between the two groups of point temperatures to each virtual point. The working temperature acquisition unit calculates the total amount of temperature difference between each virtual point and the starting point, and obtains the simulated temperature of the virtual point by calculating the point temperature of the starting point and the total amount of temperature difference. The working temperature acquisition unit connects all adjacent point temperatures and calculates the simulated temperatures of all virtual points, thereby forming a number of simulated temperature points on the furnace equipment that is far greater than the number of set temperature acquisition points, and completing the temperature distribution surface data layout of the furnace equipment.

[0011] As a preferred embodiment of the present invention, the information processing module generates the working condition evolution process in the following manner: The information processing module receives all operating conditions at the same time and performs visual transformation. The information processing module creates a timeline and records the visual transformation results of all operating conditions on the timeline. The information processing module continuously updates the timeline while continuously receiving operating conditions.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, when monitoring the operating condition of the kiln equipment, comprehensive data collection is performed through the working temperature, gas atmosphere, pressure, and ventilation factors, thereby improving the comprehensiveness of data in the process of monitoring the operating condition of the kiln equipment, and being able to better ensure that all factors that affect the operating effect during the operation of the kiln can be monitored, and the operating condition monitoring results of the kiln equipment can be intuitively displayed through visual changes, providing higher convenience for management personnel.

[0013] 2. In the present invention, when monitoring the temperature of the kiln equipment, multiple collection points are set to increase the temperature monitoring position, and the number of temperature detection samples is increased by the same-frequency collection method. It is possible to detect the temperatures of different areas and to perform mathematical analysis on the temperature of the kiln equipment to infer the temperature of the area in the entire kiln equipment where no temperature detection points are set, so that the temperature of the kiln equipment can achieve comprehensive coverage of the temperature detection points through simulation expansion. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0015] Figure 1 is a system block diagram of the present invention; Figure 2 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0016] The technical scheme of the present invention will be described clearly and completely in conjunction with the embodiments below. 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. Example 1

[0017] See also Figure 1 - Figure 2 As shown, the kiln equipment operating condition visualization monitoring system based on the Internet of Things includes a work collection module, an information processing module and a real-time display module, wherein the work collection module is used to summarize various operating conditions during the operation of the kiln equipment and send the summarized operating conditions to the information processing module; The working collection module includes a working temperature collection unit, a gas atmosphere collection unit, a pressure factor collection unit and a ventilation collection unit; The working temperature acquisition unit is used to collect the working temperature in the kiln equipment. When collecting the temperature in the kiln equipment, the working temperature acquisition unit collects the temperature through temperature sensors at multiple different positions, and records the temperature collected at each collection point as a point temperature; The working temperature acquisition unit generates a three-dimensional model of the furnace equipment, and marks the point temperatures in the three-dimensional model of the furnace equipment, and performs temperature distribution curve fitting according to the marked multiple point temperatures, thereby obtaining a temperature distribution surface on the furnace equipment; The method for the working temperature acquisition unit to generate the temperature distribution surface of the furnace equipment is: The working temperature acquisition unit connects two adjacent groups of point temperatures, marks the two groups of point temperatures as a starting point and an ending point, and calculates the temperature difference between the point temperatures of the starting point and the ending point. The working temperature acquisition unit sets a plurality of virtual points at equal intervals on the connecting line, and evenly distributes the temperature difference between the two groups of point temperatures to each virtual point. The working temperature acquisition unit calculates the total amount of temperature difference between each virtual point and the starting point, and obtains the simulated temperature of the virtual point by using the point temperature of the starting point and the total amount of temperature difference. The working temperature acquisition unit connects all adjacent point temperatures and calculates the simulated temperatures of all virtual points, thereby forming a number of simulated temperature points on the furnace equipment that is far greater than the set number of temperature acquisition points, completing the temperature distribution surface data layout of the furnace equipment.

[0018] The gas atmosphere collection unit is used to collect the gas composition and content of the composition in the kiln equipment. After collecting the gas composition and content in the kiln equipment, the gas atmosphere collection unit generates a gas component result, sums up all the gas contents in the gas component result, and calculates the difference between the sum result and 100%. If the sum result is greater than 100%, a collection abnormality signal is generated. If the sum result is less than 100%, the difference between the sum result and 100% is calculated and recorded as a miscellaneous component, and the miscellaneous component is added to the gas component result, thereby achieving more accurate detection of the gas component and compensating for possible system errors during detection; The pressure factor collection unit is used to collect the gas pressure in the kiln equipment. When the pressure factor collection unit collects the gas pressure in the kiln equipment, it first collects the gas pressure at a preset basic time interval, collects at least two groups of gas pressures, and compares the two groups of gas pressures to obtain a gas pressure ratio. If the gas pressure ratio is greater than the set ratio, it is recorded as pressure fluctuation. If the gas pressure ratio is not greater than the set ratio, it is recorded as pressure stability. After obtaining the pressure fluctuation, the pressure factor acquisition unit shortens the preset basic time interval and continues to collect the gas pressure at the short basic time interval, so that the pressure fluctuation can be determined more accurately when the pressure fluctuates; After the pressure is stabilized, the pressure factor collection unit does not change the preset basic time interval, and directly collects data at the preset basic time interval; After the pressure factor unit obtains stable pressure for a preset number of consecutive times, it extends the preset basic time interval and continues to collect gas pressure through the extended basic time interval. Thus, when the pressure is stable, the detection interval is extended to reduce the number of samples and reduce the system calculation load.

[0019] The ventilation collection unit is used to collect the ventilation volume in the kiln equipment. When collecting the ventilation volume in the kiln equipment, the ventilation collection unit sets multiple groups of wind speed sensors in the air inlet channel, and performs arithmetic averaging on the multiple groups of wind speeds collected to obtain the average wind speed, and calculates the air intake volume based on the average wind speed and the cross-sectional area of ​​the air inlet channel.

[0020] The information processing module adds a time tag to the received operating conditions, and constructs the change of each operating condition through the time tag, thereby forming the operating condition evolution process. The information processing module generates the operating condition evolution process in the following way: The information processing module receives all operating conditions at the same time and performs visual transformation. The information processing module creates a timeline and records the visual transformation results of all operating conditions on the timeline. The information processing module continuously updates the timeline while continuously receiving the operating conditions, thereby obtaining the visual results of the operating condition evolution process and the visual results of the real-time operating conditions. When performing visual transformation, the information processing module represents the temperature of the kiln equipment with different colors. For example, within the temperature range that meets the requirements, the temperature values ​​are represented from dark to light, and the areas that do not meet the temperature requirements are displayed with another high-contrast color. When performing visual transformation of the pressure, ventilation volume and gas atmosphere of the kiln equipment, the areas that meet the production requirements are also represented with a certain color, and the areas that do not meet the production requirements are represented with a high-contrast color of that color. The real-time display module displays the visualization results of the working condition evolution process and the visualization results of the real-time operating conditions.

[0021] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The kiln equipment operation condition visualization monitoring system based on the Internet of Things is characterized by: It includes a work collection module, an information processing module and a real-time display module, wherein the work collection module is used to summarize various operating conditions during the operation of the kiln equipment and send the summarized operating conditions to the information processing module; The information processing module adds a time tag to the received operating conditions, and constructs the change of each operating condition through the time tag, thereby forming an operating condition evolution process. The information processing module uses image processing software to visualize the operating condition evolution process and the real-time operating condition, and obtains a visualization result of the operating condition evolution process and a visualization result of the real-time operating condition; The real-time display module displays the visualization results of the working condition evolution process and the visualization results of the real-time operating conditions; The working collection module includes a working temperature collection unit, a gas atmosphere collection unit, a pressure factor collection unit and a ventilation collection unit; The working temperature collection unit is used to collect the working temperature in the kiln equipment; The gas atmosphere collection unit is used to collect the gas composition and content of the composition in the kiln equipment; The pressure factor collection unit is used to collect the gas pressure in the kiln equipment; The ventilation collection unit is used to collect the ventilation volume in the kiln equipment.

2. The visual monitoring system for kiln equipment operating conditions based on the Internet of Things according to claim 1 is characterized in that: When the working temperature acquisition unit acquires the temperature in the kiln equipment, the temperature is acquired through temperature sensors at multiple different positions, and the temperature acquired at each acquisition point is recorded as a point temperature; The working temperature acquisition unit generates a three-dimensional model of the furnace equipment, marks point temperatures in the three-dimensional model of the furnace equipment, and performs temperature distribution curve fitting according to the marked multiple point temperatures, thereby obtaining a temperature distribution surface on the furnace equipment.

3. The visual monitoring system for kiln equipment operating conditions based on the Internet of Things according to claim 1 is characterized in that: The gas atmosphere collection unit collects the gas composition and gas content in the kiln equipment, generates a gas component result, sums all gas contents in the gas component result, and calculates the difference between the sum result and 100%. If the sum result is greater than 100%, a collection abnormality signal is generated. If the sum result is less than 100%, the difference between the sum result and 100% is calculated and recorded as a miscellaneous component, and the miscellaneous component is added to the gas component result.

4. The kiln equipment operating condition visualization monitoring system based on the Internet of Things according to claim 1 is characterized in that: When the pressure factor collection unit collects the gas pressure in the kiln equipment, it first collects the gas pressure at a preset basic time interval to obtain at least two groups of gas pressures, and compares the two groups of gas pressures to obtain a gas pressure ratio. If the gas pressure ratio is greater than the set ratio, it is recorded as pressure fluctuation. If the gas pressure ratio is not greater than the set ratio, it is recorded as pressure stability. After obtaining the pressure fluctuation, the pressure factor acquisition unit shortens the preset basic time interval and continues to collect the gas pressure through the short basic time interval; After the pressure is stabilized, the pressure factor acquisition unit does not change the preset basic time interval and directly performs acquisition at the preset basic time interval.

5. The visual monitoring system for kiln equipment operating conditions based on the Internet of Things according to claim 4 is characterized in that: After the number of times of continuously acquiring stable pressure reaches a preset number, the pressure factor unit extends the preset basic time interval and continues to collect gas pressure through the extended basic time interval.

6. The kiln equipment operating condition visualization monitoring system based on the Internet of Things according to claim 1 is characterized in that: When the ventilation collection unit collects the ventilation volume in the kiln equipment, multiple groups of wind speed sensors are set in the air inlet channel, and the arithmetic average of the multiple groups of wind speeds collected is performed to obtain the average wind speed, and the air inlet volume is calculated based on the average wind speed and the cross-sectional area of ​​the air inlet channel.

7. The visual monitoring system for kiln equipment operating conditions based on the Internet of Things according to claim 2 is characterized in that: The method for the working temperature acquisition unit to generate the temperature distribution surface of the kiln equipment is: The working temperature acquisition unit connects two adjacent groups of point temperatures, marks the two groups of point temperatures as a starting point and an ending point, and calculates the temperature difference between the point temperatures of the starting point and the ending point. The working temperature acquisition unit sets a plurality of virtual points at equal intervals on the connecting line, and evenly distributes the temperature difference between the two groups of point temperatures to each virtual point. The working temperature acquisition unit calculates the total amount of temperature difference between each virtual point and the starting point, and obtains the simulated temperature of the virtual point by calculating the point temperature of the starting point and the total amount of temperature difference. The working temperature acquisition unit connects all adjacent point temperatures and calculates the simulated temperatures of all virtual points, thereby forming a number of simulated temperature points on the furnace equipment that is far greater than the number of set temperature acquisition points, and completing the temperature distribution surface data layout of the furnace equipment.

8. The visual monitoring system for kiln equipment operating conditions based on the Internet of Things according to claim 1 is characterized in that: The information processing module generates the working condition evolution process in the following way: The information processing module receives all operating conditions at the same time and performs visual transformation. The information processing module creates a timeline and records the visual transformation results of all operating conditions on the timeline. The information processing module continuously updates the timeline while continuously receiving operating conditions.

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