An air conditioning system for textile workshops based on the Internet of Things

Abstract

The invention discloses an air conditioning system for a textile workshop based on the Internet of Things, comprising a data monitoring module, a regulating and analyzing module and a control output module, and is characterized in that: the data monitoring module is used for collecting and monitoring relevant data in the textile workshop, the regulating and analyzing module is used for analyzing the optimal regulating mode of a ventilation unit, the control output module is used for outputting a control signal to the ventilation unit according to the analysis result of the regulating and analyzing module, the data monitoring module is electrically connected to the regulating and analyzing module, the regulating and analyzing module is electrically connected to the control output module, the data monitoring module comprises a thermal imaging unit, a wind speed monitoring unit and an air quality detection module, and the invention has the characteristics of good ventilation effect and energy saving and environmental protection.

Description

Technical Field

[0001] The present invention relates to the field of intelligent regulation technology, and in particular to an air conditioning system for a textile workshop based on the Internet of Things. Background Art

[0002] As a textile industry, the air quality in textile workshops is regarded as one of the important criteria for measuring the working environment. In the production process of textile products in textile workshops, heat, water vapor, harmful gases, dust and carbon dioxide will be continuously emitted. If no measures are taken, the temperature, humidity, flow rate and carbon dioxide concentration of the air inside the workshop will not only directly affect the health of workers, but also affect the quality and output of textile products. Therefore, the air conditioning system of textile workshops is an indispensable and important part of textile factories. Its task is to keep the air in the production workshop at a certain temperature, humidity, freshness and cleanliness, so that it is not affected by various factors indoors and outdoors, so as to meet the requirements of workers' health and textile production process.

[0003] However, the existing textile workshop air conditioning system almost never takes the production line layout into consideration during construction, or the production line layout is changed due to the production line upgrade, which makes the air conditioning system in the textile workshop not correspond to the production line, resulting in poor local ventilation effect. At the same time, according to statistics, the power consumption of the workshop air conditioning system accounts for 15%-30% of the total power consumption of the textile factory. With the development of the textile industry, the related equipment is also increasing, and the system will become the main energy consumption link. Therefore, it is necessary to design a textile workshop air conditioning system based on the Internet of Things with good ventilation effect and energy saving and environmental protection. Summary of the invention

[0004] The purpose of the present invention is to provide an air conditioning system for a textile workshop based on the Internet of Things to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a textile workshop air conditioning system based on the Internet of Things, comprising a data monitoring module, an adjustment and analysis module and a control output module, the data monitoring module is used to collect and monitor relevant data in the textile workshop, the adjustment and analysis module is used to analyze the optimal adjustment mode of the ventilation unit, the control output module is used to output a control signal to the ventilation unit according to the analysis result of the adjustment and analysis module, the data monitoring module is electrically connected to the adjustment and analysis module, and the adjustment and analysis module is electrically connected to the control output module.

[0006] According to the above technical solution, the data monitoring module includes a thermal imaging unit, a wind speed monitoring unit and an air quality detection module. The thermal imaging unit is used to take thermal imaging photos of the interior of a textile workshop, the wind speed monitoring unit is used to monitor the air circulation data inside the textile workshop, and the air quality detection module is used to detect the comprehensive air quality indicators inside the textile workshop.

[0007] According to the above technical solution, the adjustment analysis module includes a direction adjustment analysis module and a power adjustment analysis module. The direction adjustment analysis module is used to analyze the air outlet direction of the ventilation unit, and the power adjustment analysis module is used to analyze the power setting of the ventilation unit.

[0008] According to the above technical solution, the direction adjustment analysis module includes an imaging tracking submodule, a thermal map establishment submodule and a position calibration submodule. The imaging tracking submodule is used for positioning and tracking the thermal imaging data in the textile workshop, the thermal map establishment submodule is used for fitting and establishing a thermal map of the personnel inside the textile workshop, and the position calibration submodule is used for calibrating the blowing direction of the response ventilation unit after combining and analyzing the distribution position of the ventilation unit and the human map data.

[0009] According to the above technical solution, the power regulation analysis module includes a minimum power calculation submodule and an actual power calculation submodule. The minimum power calculation submodule is used to analyze and calculate the minimum operating power of the ventilation group, and the actual power calculation submodule is used to analyze and calculate the actual operating power of the ventilation group.

[0010] According to the above technical solution, the control output module includes a direction adjustment module and a power adjustment module. The direction adjustment module is used to dynamically adjust the direction of the ventilation unit according to the electrical signal, and the power adjustment module is used to dynamically adjust the power of the ventilation unit according to the electrical signal.

[0011] According to the above technical solution, the operation method of the textile workshop air conditioning system based on the Internet of Things includes the following steps:

[0012] Step S1: In a textile workshop, the thermal imaging data, air circulation data and comprehensive air quality index data of the textile workshop are collected and monitored by the data monitoring module, and transmitted to the regulation and analysis module through electrical signals;

[0013] Step S2: the adjustment and analysis module obtains the textile workshop data collected by the data monitoring module, and starts to analyze and determine the wind direction and power adjustment amount of the workshop air conditioning system for the ventilation unit according to the data;

[0014] Step S3: According to the analysis results output in real time by the adjustment and analysis module, the system dynamically adjusts the ventilation units in the textile workshop through the control output module.

[0015] According to the above technical solution, step S2 further includes the following steps:

[0016] Step S21: identifying and tracking the thermal imaging images in the textile workshop through the imaging tracking submodule;

[0017] Step S22: fitting and establishing a thermal model diagram of a textile workshop, and displaying the data tracked by thermal imaging recognition in the thermal model diagram;

[0018] Step S23: Further using the position calibration submodule, in the thermal model map of the textile workshop established by fitting, first calibrate the distribution positions of each ventilation unit in the workshop in the thermal model map, then set the timeliness period T of the thermal map, and at the same time, accumulate and display the movement trajectory of the thermal imaging images in the thermal model map for the thermal imaging images identified and tracked within the period T;

[0019] Step S24: setting the minimum cell display of the thermal model diagram, calibrating the number of minimum cells covered by the moving track, and then making the thermal model diagram display the calibrated digital groups of all minimum cells within the period T in real time;

[0020] Step S25: preset a boundary value d, and select the smallest cell area in the thermal model diagram whose calibrated digital group is greater than d;

[0021] Step S26: further calibrate the position of the framed area and the distribution positions of each ventilation unit in the workshop, select ventilation units outside the framed area and whose distance from the edge of the cross-selected area is less than L, and confirm the relative position direction of the framed area and the selected ventilation units one by one;

[0022] Step S27: The direction adjustment analysis module outputs the optimal wind direction adjustment angle of each selected ventilation unit according to the relative position direction.

[0023] According to the above technical solution, step S2 further includes the following steps:

[0024] Step S2a: obtaining the air flow rate v and the comprehensive air quality index b in the textile workshop;

[0025] Step S2b: By formula Analyze and calculate the minimum operating power of the ventilation unit, where All are control parameters, and all are constants greater than 0;

[0026] Step S2c: By formula Analyze and calculate the actual operating power P of each ventilation unit; where n is the calibration times of the minimum cell where the ventilation unit is located in the thermal model diagram;

[0027] Step S2d: The power regulation and analysis module outputs the actual operating power of each ventilation unit accordingly.

[0028] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention, by utilizing thermal imaging big data to capture the cumulative flow trajectory of personnel in a textile workshop and the personnel flow density in each area of ​​the textile workshop, combines model establishment and position calibration to form a thermal map, and further calibrates the relative positions of each ventilation unit and thermal area in the textile workshop through the model, and adjusts the air outlet positions of the ventilation units adjacent to the thermal area in a directionally manner, thereby increasing the ventilation volume in areas with high personnel flow density, so that the ventilation units in the textile workshop correspond to areas with large personnel flow on the production line, thereby increasing the ventilation volume in areas with high personnel density, avoiding the problem of poor ventilation effect in areas with high personnel density, achieving ventilation for areas in need, reducing the ventilation volume in areas with less demand, and reducing the waste of ventilation resources, thereby achieving the effect of high efficiency and energy saving. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0030] Figure 1 It is a schematic diagram of the system module composition 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 The present invention provides a technical solution: an air conditioning system for a textile workshop based on the Internet of Things, comprising a data monitoring module, a regulation analysis module and a control output module, wherein the data monitoring module is used to collect and monitor relevant data in the textile workshop, the regulation analysis module is used to analyze the optimal regulation mode of the ventilation unit, and the control output module is used to output a control signal to the ventilation unit according to the analysis result of the regulation analysis module, the data monitoring module is electrically connected to the regulation analysis module, and the regulation analysis module is electrically connected to the control output module.

[0033] The data monitoring module includes a thermal imaging unit, a wind speed monitoring unit and an air quality detection module. The thermal imaging unit is used to take thermal imaging photos of the interior of a textile workshop. The wind speed monitoring unit is used to monitor the air circulation data inside the textile workshop. The air quality detection module is used to detect the comprehensive air quality indicators inside the textile workshop.

[0034] The regulation analysis module includes a direction regulation analysis module and a power regulation analysis module. The direction regulation analysis module is used to analyze the air outlet direction of the ventilation unit, and the power regulation analysis module is used to analyze the power setting of the ventilation unit.

[0035] The direction adjustment analysis module includes an imaging tracking submodule, a thermal map establishment submodule and a position calibration submodule. The imaging tracking submodule is used to locate and track the thermal imaging data in the textile workshop. The thermal map establishment submodule is used to fit and establish the personnel thermal map inside the textile workshop. The position calibration submodule is used to calibrate the blowing direction of the response ventilation unit after combining and analyzing the distribution position of the ventilation unit and the manpower map data.

[0036] The power regulation analysis module includes a minimum power calculation submodule and an actual power calculation submodule. The minimum power calculation submodule is used to analyze and calculate the minimum operating power of the ventilation unit, and the actual power calculation submodule is used to analyze and calculate the actual operating power of the ventilation unit.

[0037] The control output module includes a direction adjustment module and a power adjustment module. The direction adjustment module is used to dynamically adjust the direction of the ventilation unit according to the electrical signal, and the power adjustment module is used to dynamically adjust the power of the ventilation unit according to the electrical signal.

[0038] The operation method of the textile workshop air conditioning system based on the Internet of Things includes the following steps:

[0039] Step S1: In a textile workshop, the thermal imaging data, air circulation data and comprehensive air quality index data of the textile workshop are collected and monitored by the data monitoring module, and transmitted to the regulation and analysis module through electrical signals;

[0040] Step S2: the adjustment and analysis module obtains the textile workshop data collected by the data monitoring module, and starts to analyze and determine the wind direction and power adjustment amount of the workshop air conditioning system for the ventilation unit according to the data;

[0041] Step S3: According to the analysis results output in real time by the adjustment and analysis module, the system dynamically adjusts the ventilation units in the textile workshop through the control output module.

[0042] Step S2 further comprises the following steps:

[0043] Step S21: identifying and tracking the thermal imaging images in the textile workshop through the imaging tracking submodule;

[0044] Step S22: fitting and establishing a thermal model diagram of a textile workshop, and displaying the data tracked by thermal imaging recognition in the thermal model diagram;

[0045] Step S23: Further utilizing the position calibration submodule, in the thermal model map of the textile workshop established by fitting, first calibrate the distribution positions of each ventilation unit in the workshop in the thermal model map, then set the timeliness period T of the thermal map, and at the same time, cumulatively display the movement trajectory of the thermal imaging images in the thermal model map for the thermal imaging images identified and tracked within the period T; by setting the timeliness period of the thermal map, the thermal map display in the textile workshop can be made more time-sensitive, so that the thermal display is more accurate, and the dynamic adjustment flexibility of the air conditioning system of the textile workshop can be controlled by adjusting the timeliness period;

[0046] Step S24: setting the minimum cell display of the thermal model diagram, calibrating the number of minimum cells covered by the moving track, and then making the thermal model diagram display the calibrated digital groups of all minimum cells within the period T in real time;

[0047] Step S25: preset a boundary value d, and select the smallest cell area in the thermal model diagram whose calibrated digital group is greater than d;

[0048] Step S26: further calibrate the position of the framed area and the distribution positions of each ventilation unit in the workshop, select ventilation units outside the framed area and whose distance from the edge of the cross-selected area is less than L, and confirm the relative position direction of the framed area and the selected ventilation units one by one;

[0049] Step S27: The direction adjustment analysis module outputs the optimal wind direction adjustment angle of each selected ventilation unit according to the relative position direction; through the above steps, the thermal imaging big data can be used to capture the cumulative flow trajectory of personnel in the textile workshop and the personnel flow density in each area of ​​the textile workshop, and a thermal map is formed by combining model establishment and position calibration. At the same time, the relative positions of each ventilation unit and the thermal area in the textile workshop are further calibrated through the model, and the position of the air outlet of the ventilation unit adjacent to the thermal area is directionally adjusted to increase the ventilation volume in the area with high personnel flow density, so that the ventilation units in the textile workshop can correspond to the areas with large personnel flow of the production line, increase the ventilation volume in the areas with high personnel density, avoid the problem of poor ventilation effect in the areas with high personnel density, realize ventilation for the areas in need, reduce the ventilation volume in the areas with less demand, and reduce the waste of ventilation resources, thereby achieving the effect of high efficiency and energy saving.

[0050] Step S2 further includes the following steps:

[0051] Step S2a: obtaining the air flow rate v and the comprehensive air quality index b in the textile workshop;

[0052] Step S2b: By formula Analyze and calculate the minimum operating power of the ventilation unit, where All are control parameters, and all are constants greater than 0; in the formula, the minimum operating power of the ventilation unit is related to the comprehensive air quality index b and the air flow rate v in the textile workshop. When the comprehensive air quality index b is larger, the air quality in the workshop is worse, and there are more harmful gases, dust and other impurities in the air, and then the minimum operating power of the ventilation unit is also larger, speeding up the air circulation to reduce the impact of harmful gases on personnel, and the higher the natural ventilation effect in the textile workshop, the smaller the power required for auxiliary ventilation of the ventilation unit. When the natural ventilation effect in the textile workshop reaches the necessary speed for ventilating the harmful gases in the workshop, the ventilation unit can be suspended, thereby achieving effective energy saving, reducing unnecessary energy consumption of the air conditioning system, and improving the economic benefits of the enterprise;

[0053] Step S2c: By formula The actual operating power P of each ventilation unit is analyzed and calculated; where n is the calibration times of the minimum cell where the ventilation unit is located in the thermal model diagram; in the formula, the actual operating power of each ventilation unit is positively correlated with the calibration times of the minimum cell where it is located. The larger the calibration times of the minimum cell where the unit is located, the higher the density of personnel flow in the area where the ventilation unit is located, and the ventilation effect needs to be increased. For textile workshops with little or no personnel flow, the ventilation function of the entire workshop can be guaranteed with lower power. Finally, the upper limit of the required ventilation power and the required power range are adjusted according to the thermal map, which changes dynamically throughout the process, meets the production needs of textile workshops, and greatly reduces the energy consumption of air conditioning.

[0054] Step S2d: The power regulation and analysis module outputs the actual operating power of each ventilation unit accordingly.

[0055] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0056] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A textile workshop air conditioning system based on the Internet of Things, comprising a data monitoring module, a regulation analysis module and a control output module, characterized in that: The data monitoring module is used to collect and monitor relevant data in the textile workshop, the adjustment analysis module is used to analyze the optimal adjustment mode of the ventilation unit, and the control output module is used to output a control signal to the ventilation unit according to the analysis result of the adjustment analysis module. The data monitoring module is electrically connected to the adjustment analysis module, and the adjustment analysis module is electrically connected to the control output module; The data monitoring module includes a thermal imaging unit, a wind speed monitoring unit and an air quality detection module, wherein the thermal imaging unit is used to take thermal imaging photos of the interior of the textile workshop, the wind speed monitoring unit is used to monitor the air circulation data inside the textile workshop, and the air quality detection module is used to detect the comprehensive air quality index inside the textile workshop; The adjustment and analysis module includes a direction adjustment and analysis module and a power adjustment and analysis module, wherein the direction adjustment and analysis module is used to analyze the air outlet direction of the ventilation unit, and the power adjustment and analysis module is used to analyze the power setting of the ventilation unit; The direction adjustment analysis module includes an imaging tracking submodule, a heat map establishment submodule and a position calibration submodule. The imaging tracking submodule is used for positioning and tracking the thermal imaging data in the textile workshop. The heat map establishment submodule is used for fitting and establishing the personnel heat map inside the textile workshop. The position calibration submodule is used for combining and analyzing the distribution position of the ventilation unit and the human map data to calibrate the blowing direction of the response ventilation unit. The power regulation analysis module includes a minimum power calculation submodule and an actual power calculation submodule, wherein the minimum power calculation submodule is used to analyze and calculate the minimum operating power of the ventilation unit, and the actual power calculation submodule is used to analyze and calculate the actual operating power of the ventilation unit; The control output module includes a direction adjustment module and a power adjustment module, wherein the direction adjustment module is used to dynamically adjust the direction of the ventilation unit according to the electrical signal, and the power adjustment module is used to dynamically adjust the power of the ventilation unit according to the electrical signal; The operation method of the textile workshop air conditioning system based on the Internet of Things comprises the following steps: Step S1: In a textile workshop, the thermal imaging data, air circulation data and comprehensive air quality index data of the textile workshop are collected and monitored by the data monitoring module, and transmitted to the regulation and analysis module through electrical signals; Step S2: the adjustment and analysis module obtains the textile workshop data collected by the data monitoring module, and starts to analyze and determine the wind direction and power adjustment amount of the workshop air conditioning system for the ventilation unit according to the data; Step S3: According to the analysis results output in real time by the adjustment and analysis module, the system dynamically adjusts the ventilation units in the textile workshop through the control output module.

2. The textile workshop air conditioning system based on the Internet of Things according to claim 1 is characterized in that: The step S2 further comprises the following steps: Step S21: identifying and tracking the thermal imaging images in the textile workshop through the imaging tracking submodule; Step S22: fitting and establishing a thermal model diagram of a textile workshop, and displaying the data tracked by thermal imaging recognition in the thermal model diagram; Step S23: Further using the position calibration submodule, in the thermal model map of the textile workshop established by fitting, first calibrate the distribution positions of each ventilation unit in the workshop in the thermal model map, then set the timeliness period T of the thermal map, and at the same time, accumulate and display the movement trajectory of the thermal imaging images in the thermal model map for the thermal imaging images identified and tracked within the period T; Step S24: setting the minimum cell display of the thermal model diagram, calibrating the number of minimum cells covered by the moving track, and then making the thermal model diagram display the calibrated digital groups of all minimum cells within the period T in real time; Step S25: preset a boundary value d, and select the smallest cell area in the thermal model diagram whose calibrated digital group is greater than d; Step S26: further calibrate the position of the framed area and the distribution positions of each ventilation unit in the workshop, select ventilation units outside the framed area and whose distance from the edge of the cross-selected area is less than L, and confirm the relative position direction of the framed area and the selected ventilation units one by one; Step S27: The direction adjustment analysis module outputs the optimal wind direction adjustment angle of each selected ventilation unit according to the relative position direction.

3. The textile workshop air conditioning system based on the Internet of Things according to claim 2 is characterized in that: The step S2 further comprises the following steps: Step S2a: obtaining the air flow rate v and the comprehensive air quality index b in the textile workshop; Step S2b: By formula The minimum operating power of the ventilation unit is analyzed and calculated, where α and β are control parameters and are constants greater than 0; Step S2c: By the formula P=P min +n·p0 to analyze and calculate the actual operating power P of each ventilation unit; where n is the calibration times of the minimum cell where the ventilation unit is located in the thermal model diagram; Step S2d: The power regulation and analysis module outputs the actual operating power of each ventilation unit accordingly.

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