Fan operation control method based on Internet of Things data collection

Abstract

The present invention relates to the technical field of fan operation control, and in particular to a fan operation control method based on Internet of Things data collection, the method comprising: determining the standard coverage area of ​​the fan and dividing the treatment chamber; dividing any initial grid area and collecting a number of real-time temperature values, determining the initial setting parameters of any fan based on the comparison results of the several real-time temperature values ​​and the preset temperature values; collecting the real-time flow characteristics of several fans, analyzing the real-time flow characteristics to determine the flow abnormality area, and adjusting the initial setting parameters according to the analysis results of the flow abnormality area; real-time detection of the real-time temperature changes corresponding to the several initial grid areas, judging the temperature change uniformity in the treatment chamber based on the several real-time temperature changes, calibrating the adjustment setting parameters according to the uniformity judgment result, or adjusting the preset interval, or adjusting the initial grid area. The present invention improves the accuracy of indoor temperature control.

Description

Technical Field

[0001] The present invention relates to the technical field of fan operation control, and in particular to a fan operation control method based on Internet of Things data collection. Background Art

[0002] Traditional fan control systems often operate based on preset fixed modes, and it is difficult to dynamically adjust according to the actual indoor temperature distribution and air flow conditions, resulting in energy waste and poor comfort. With the development of Internet of Things technology, real-time data collection and analysis have become possible, providing a new way for the intelligent operation and control of fans.

[0003] The patent document with Chinese patent application publication number CN107179815A discloses an air cooling system and a method for controlling a fan in the air cooling system, wherein the air cooling system includes: a main control unit, multiple business board modules and a fan frame unit that provides heat dissipation for the multiple business board modules, wherein the main control unit is used to: obtain configuration information of each business board module, the configuration information is used to indicate the heat dissipation requirements of each business board module; determine the fan heat dissipation capacity allocation information required by each business board module according to the configuration information of each business board module; determine the operation control allocation information of the fan frame unit according to the fan heat dissipation capacity allocation information required by each business board module; and control the power of the fan frame unit according to the operation control allocation information of the fan frame unit.

[0004] In the prior art, the air cooling system mainly relies on the configuration information of the business board module to determine the heat dissipation capacity allocation of the fan. The configuration information may not reflect the actual heat dissipation demand changes of the business board module in real time, resulting in low accuracy of indoor temperature control. Summary of the invention

[0005] To this end, the present invention provides a fan operation control method based on Internet of Things data collection, which can solve the problem of low accuracy of indoor temperature control through detailed area division and real-time data collection, and dynamic adjustment of fan parameters according to real-time collected temperature changes and flow characteristics.

[0006] To achieve the above object, the present invention provides a fan operation control method based on Internet of Things data collection, the method comprising:

[0007] Determine the standard coverage area of ​​the fan, divide the room to be treated based on the total space area of ​​the room to be treated and the standard coverage area, and obtain a number of initial grid areas;

[0008] Dividing any of the initial grid areas at preset intervals, collecting a number of real-time temperature values ​​of a number of initial grid sub-areas after the division, and determining the initial setting parameters of any of the fans based on the comparison results of the number of real-time temperature values ​​and the preset temperature values;

[0009] Collecting the real-time flow characteristics corresponding to a number of the fans when they are working based on the initial setting parameters, analyzing the real-time flow characteristics to determine the abnormal flow area, and adjusting the initial setting parameters according to the analysis results of the abnormal flow area to obtain the adjusted setting parameters;

[0010] Real-time detection of the real-time temperature changes corresponding to several initial grid areas, and judging the uniformity of the temperature changes in the processing chamber based on the several real-time temperature changes, so as to calibrate the adjustment setting parameters according to the uniformity judgment result, or adjust the preset interval, or adjust the initial grid area.

[0011] Furthermore, the step of dividing the room to be treated based on the total spatial area and the standard coverage area range in the room to be treated includes:

[0012] Selecting the maximum value of the standard coverage area as the initial division standard;

[0013] Traversing the total spatial area with the initial division standard, identifying the untraversed areas of the total spatial area in the traversal result and determining the areas of the untraversed areas;

[0014] The initial division standard is reduced and the total space area is traversed again until the area of ​​the untraversed area is minimized, and then the actual division standard is determined, and the treatment room is divided according to the actual division standard.

[0015] Furthermore, the step of determining the initial setting parameters of any of the fans based on the comparison results of the real-time temperature values ​​with the preset temperature values ​​includes:

[0016] comparing the real-time temperature values ​​with the preset temperature values, and determining abnormal grid sub-regions based on the comparison results;

[0017] The initial setting position, initial setting angle and initial setting wind speed of the fan are determined based on the abnormal area distribution of the plurality of abnormal grid sub-areas.

[0018] Further, the step of determining the initial setting position, initial setting angle and initial setting wind speed of the fan based on the abnormal area distribution of the abnormal grid sub-areas includes:

[0019] Determining abnormal concentration based on the abnormal area distribution, and determining an initial setting position based on the abnormal concentration;

[0020] determining an initial coverage area based on the initial setting position and the abnormal area distribution;

[0021] The initial setting angle and the initial setting wind speed are determined based on the initial coverage area.

[0022] Furthermore, the step of determining abnormal concentration based on the abnormal area distribution includes:

[0023] Calculate the relative distance between corresponding center points of any two abnormal grid sub-regions to obtain a number of relative distances corresponding to a number of abnormal grid sub-regions;

[0024] Calculate the mean of the relative distances as the mean distance;

[0025] The mean distance is compared with a preset distance, and the abnormal concentration is determined based on the comparison result.

[0026] Furthermore, the step of analyzing the real-time flow characteristics to determine the flow abnormality area includes:

[0027] Based on the sensor, several real-time wind speeds and several real-time wind directions of any fan are collected in real time;

[0028] Draw a wind direction vector diagram corresponding to any fan based on the real-time wind speeds and the real-time wind directions;

[0029] The wind direction vector diagrams corresponding to the fans are analyzed, and the abnormal flow area is determined according to the analysis results.

[0030] Furthermore, the step of determining the abnormal flow area according to the analysis result includes:

[0031] Plotting a plurality of wind direction vector diagrams in the same rectangular coordinate system to obtain a superimposed vector diagram;

[0032] The superimposed vector diagram is analyzed, a real-time coverage range is determined based on a number of real-time wind speeds and a number of real-time wind directions corresponding to any sensor, and an intersection area of ​​a number of coverage areas corresponding to a number of sensors is determined as the flow abnormality area.

[0033] Furthermore, the step of adjusting the initial setting parameters according to the analysis results of the abnormal flow area includes:

[0034] Determine the predicted overlapping coverage area based on the initial setting positions, initial setting angles and initial setting wind speeds of a number of fans corresponding to the real-time wind direction overlapping area;

[0035] The flow anomaly area is compared with the predicted overlapped coverage area, and the initial setting parameters are adjusted according to the comparison result.

[0036] Further, the step of determining the uniformity of the temperature change in the treatment chamber based on a plurality of real-time temperature changes includes:

[0037] Based on a preset frequency, a plurality of real-time temperature values ​​corresponding to a plurality of initial grid sub-areas are detected in real time, and the average of the plurality of real-time temperature values ​​is calculated to obtain the average temperature value of the initial grid area;

[0038] Calculate the difference between several temperature averages obtained at adjacent moments as the temperature change value, and determine the real-time temperature change based on the average of several temperature change values ​​within a preset period;

[0039] The standard deviation of several real-time temperature changes is calculated as the temperature change uniformity.

[0040] Further, the step of calibrating the adjustment setting parameter according to the uniformity judgment result, or adjusting the preset interval, or adjusting the initial grid area includes:

[0041] Compare the temperature change uniformity with the first preset uniformity and the second preset uniformity respectively to obtain a comparison result;

[0042] When the temperature change uniformity is less than a second preset uniformity, adjusting the preset interval;

[0043] When the temperature change uniformity is greater than the second preset uniformity and less than the first preset uniformity, calibrating the adjustment setting parameter;

[0044] When the temperature change uniformity is greater than a first preset uniformity, adjusting the initial grid area;

[0045] Wherein, the first preset uniformity is greater than the second preset uniformity.

[0046] Compared with the prior art, the beneficial effect of the present invention lies in that, by determining the standard coverage area range of the fan and dividing it according to the total area of ​​the space in the room to be treated, a number of initial grid areas are accurately obtained, which is helpful for subsequent detailed temperature monitoring and fan parameter adjustment of each area, thereby improving the accuracy and efficiency of the overall control, and dividing the area according to the coverage capacity of the fan to ensure that each area can get appropriate fan support to avoid waste or shortage of resources. By dividing the initial grid area more finely and collecting the real-time temperature value of each sub-area after division, accurate temperature monitoring is achieved, which is helpful for timely discovery of abnormal temperature areas and provides a basis for subsequent fan parameter adjustment. By analyzing the flow abnormal area when the fan is working, it is judged that the fan overlaps the convection area when working, so as to avoid mutual interference when the fan is working, and ensure that each fan can operate in the best state. According to the analysis result of the flow abnormal area, the initial setting parameters are adjusted to avoid waste of fan resources and ensure the smooth operation of the fan during operation. By real-time monitoring of temperature changes, the operating parameters of the fan are adjusted in time to adapt to the dynamic changes of indoor temperature, ensure the uniformity of indoor temperature distribution, improve the accuracy of indoor temperature control, and effectively reduce energy consumption.

[0047] In particular, by starting from the maximum value and gradually narrowing the division criteria, it is ensured that the total area of ​​the space and the standard coverage capacity of the fan are fully considered in the division process, which helps to avoid the space division being too scattered or too concentrated, thereby optimizing the overall utilization of the space. When the area of ​​the untraversed area is the smallest, the actual division criteria obtained will more accurately reflect the coverage capacity of the fan and the actual needs of the space. Through reasonable space division, it is ensured that each fan can work effectively within its standard coverage area, which helps to reduce the fan's energy consumption while improving the overall air flow efficiency.

[0048] In particular, by determining the initial setting position of the fan based on the concentration of abnormalities, it can be ensured that the fan works directly on the abnormal area, thereby improving processing efficiency. The fan-shaped area drawn with the initial setting position as the center can accurately cover multiple abnormal areas, avoiding waste of resources and unnecessary energy consumption. The initial setting angle of the fan is determined based on the angle of the fan-shaped area, which can ensure that the wind direction of the fan matches the distribution of the abnormal area and maximize the use of wind power. The initial setting wind speed of the fan is determined based on the area of ​​the initial coverage area, which can ensure that the fan maintains an appropriate wind speed while covering the entire area, avoiding the problem of excessive energy consumption caused by excessive wind speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of a flow chart of a fan operation control method based on Internet of Things data collection provided by an embodiment of the present invention;

[0050] Figure 2 A schematic diagram of a process for determining initial setting parameters in a fan operation control method based on Internet of Things data collection provided by an embodiment of the present invention;

[0051] Figure 3 A schematic diagram of a superimposed vector diagram in a fan operation control method based on Internet of Things data collection provided by an embodiment of the present invention;

[0052] Figure 4 A schematic flow chart of a fan operation control method based on Internet of Things data collection provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0054] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0055] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be understood as a limitation on the present invention.

[0056] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0057] See also Figure 1 As shown, an embodiment of the present invention provides a fan operation control method based on Internet of Things data collection, the method comprising:

[0058] Step S100, determining the standard coverage area of ​​the fan, dividing the room to be treated based on the total space area in the room to be treated and the standard coverage area, and obtaining a number of initial grid areas;

[0059] Step S200, dividing any of the initial grid areas into preset intervals, collecting a number of real-time temperature values ​​of a number of initial grid sub-areas after the division, and determining the initial setting parameters of any of the fans based on the comparison results of the number of real-time temperature values ​​and the preset temperature values;

[0060] Step S300, collecting real-time flow characteristics corresponding to a number of fans when they are operating based on the initial setting parameters, analyzing the real-time flow characteristics to determine the abnormal flow area, and adjusting the initial setting parameters according to the analysis results of the abnormal flow area to obtain adjusted setting parameters;

[0061] Step S400, real-time detection of the real-time temperature changes corresponding to several initial grid areas, judging the uniformity of the temperature changes in the treatment chamber based on the several real-time temperature changes, so as to calibrate the adjustment setting parameters according to the uniformity judgment result, or adjust the preset interval, or adjust the initial grid area.

[0062] Specifically, the embodiment of the present invention determines the standard coverage area range of the fan and divides it according to the total area of ​​the space in the room to be treated, accurately obtains a number of initial grid areas, which is helpful for subsequent detailed temperature monitoring and fan parameter adjustment of each area, thereby improving the accuracy and efficiency of the overall control. The area is divided according to the coverage capacity of the fan to ensure that each area can get appropriate fan support to avoid waste or shortage of resources. By dividing the initial grid area more finely and collecting the real-time temperature value of each sub-area after division, accurate temperature monitoring is achieved, which is helpful to timely discover abnormal temperature areas and provide a basis for subsequent fan parameter adjustment. By analyzing the flow abnormality area when the fan is working, it is determined that the fan overlaps the convection area when working, thereby avoiding mutual interference when the fan is working, ensuring that each fan can operate in the best state. According to the analysis result of the flow abnormality area, the initial setting parameters are adjusted to avoid waste of fan resources and ensure smooth operation of the fan during operation. By real-time monitoring of temperature changes, the operating parameters of the fan are adjusted in time to adapt to the dynamic changes of indoor temperature, ensure the uniformity of indoor temperature distribution, improve the accuracy of indoor temperature control, and effectively reduce energy consumption.

[0063] Specifically, the fan in the embodiment of the present invention may be a cooling fan for cooling the interior of the treatment chamber.

[0064] It can be understood that the preset interval in the embodiment of the present invention is that the horizontal interval is 1 / 4 of the horizontal length of the initial grid area, and the vertical interval is 1 / 4 of the vertical length of the initial grid area.

[0065] It can be understood that the embodiment of the present invention determines the standard coverage area range of any fan by determining the rotation angle range, maximum power and minimum power of any fan, using simulation software or conducting actual experiments to determine different wind speeds at different rotation angles and different power settings, and the area that the fan can cover, and the minimum to maximum values ​​of the coverage area in the experimental results are selected as the standard coverage area range.

[0066] Specifically, the steps of dividing the room to be treated based on the total spatial area and the standard coverage area range in the room to be treated include:

[0067] Selecting the maximum value of the standard coverage area as the initial division standard;

[0068] Traversing the total spatial area by applying the initial division criteria, identifying traversal results, so as to identify untraversed areas in the total spatial area and determine the areas of the untraversed areas;

[0069] The initial division standard is reduced and the total space area is traversed again until the area of ​​the untraversed area is minimized, and then the actual division standard is determined, and the treatment room is divided according to the actual division standard.

[0070] Specifically, the embodiment of the present invention ensures that the total area of ​​the space and the standard coverage capacity of the fan are fully considered in the division process by starting from the maximum value and gradually narrowing the division criteria, which helps to avoid the space division being too scattered or too concentrated, thereby optimizing the overall utilization of the space. When the area of ​​the untraversed area is the smallest, the actual division criteria obtained will more accurately reflect the coverage capacity of the fan and the actual needs of the space. Through reasonable space division, it is ensured that each fan can work effectively within its standard coverage area, which helps to reduce the fan's energy consumption while improving the overall air flow efficiency.

[0071] Specifically, the step of determining the initial setting parameters of any of the fans based on the comparison results of the real-time temperature values ​​with the preset temperature values ​​includes:

[0072] comparing the real-time temperature values ​​with the preset temperature values, and determining abnormal grid sub-regions based on the comparison results;

[0073] The initial setting position, initial setting angle and initial setting wind speed of the fan are determined based on the abnormal area distribution of the plurality of abnormal grid sub-areas.

[0074] It can be understood that the preset temperature value in the real-time example of the present invention is obtained by obtaining a plurality of temperature data of the same area in a historical period during the historical fan operation process, and selecting the average of the plurality of temperature data as the preset temperature value.

[0075] It can be understood that the abnormal grid sub-area in the embodiment of the present invention is the area where the real-time temperature value is greater than the preset temperature value.

[0076] See also Figure 2 As shown, the step of determining the initial setting position, initial setting angle and initial setting wind speed of the fan based on the abnormal area distribution of the abnormal grid sub-areas includes:

[0077] Step S210, judging abnormal concentration based on the abnormal area distribution, and determining an initial setting position based on the abnormal concentration;

[0078] Step S220, determining an initial coverage area based on the initial setting position and the abnormal area distribution;

[0079] Step S230: determining the initial setting angle and the initial setting wind speed based on the initial coverage area.

[0080] Specifically, the initial coverage area described in the embodiment of the present invention is a sector-shaped area centered on the initial setting position, wherein the sector-shaped area includes a number of abnormal areas, and the sector-shaped area is used as the initial coverage area.

[0081] It can be understood that the embodiment of the present invention determines the initial setting angle and the initial setting wind speed based on the initial coverage area by determining the initial setting angle based on the angle of the fan-shaped area, and determining the initial setting wind speed based on the area of ​​the initial coverage area, so that the wind blown by the fan covers the entire initial coverage area.

[0082] Specifically, the embodiment of the present invention determines the initial setting position of the fan by judging the concentration of abnormalities, which can ensure that the fan works directly on the abnormal area, thereby improving processing efficiency. The fan-shaped area drawn with the initial setting position as the center can accurately cover multiple abnormal areas, avoiding waste of resources and unnecessary energy consumption. The initial setting angle of the fan is determined based on the angle of the fan-shaped area, which can ensure that the wind direction of the fan matches the distribution of the abnormal area and maximize the use of wind force. The initial setting wind speed of the fan is determined according to the area of ​​the initial coverage area, which can ensure that the fan maintains an appropriate wind speed while covering the entire area, thereby meeting the needs of cooling or ventilation and avoiding the problem of excessive energy consumption caused by excessive wind speed.

[0083] Specifically, the step of determining the abnormal concentration based on the abnormal area distribution includes:

[0084] Calculate the relative distance between corresponding center points of any two abnormal grid sub-regions to obtain a number of relative distances corresponding to a number of abnormal grid sub-regions;

[0085] Calculate the mean of the relative distances as the mean distance;

[0086] The mean distance is compared with a preset distance, and the abnormal concentration is determined based on the comparison result.

[0087] It can be understood that the preset distance in the embodiment of the present invention is the average of the sum of the horizontal preset interval and the vertical preset interval.

[0088] Specifically, in the embodiment of the present invention, when the mean distance is less than or equal to the preset distance, it is judged that the abnormality is concentrated;

[0089] When the mean distance is greater than the preset distance, it is determined to be abnormally dispersed.

[0090] Specifically, the embodiment of the present invention determines the initial setting position based on abnormal concentration, including:

[0091] When several abnormal grid sub-regions are concentrated, the several abnormal grid sub-regions are determined as a concentrated abnormal region, and the initial position of the fan can be determined by calculating the geometric center of the concentrated abnormal region, specifically including considering all abnormal grid sub-regions as an overall shape and calculating the center coordinates thereof using a spatial geometry algorithm. For example, if the abnormal region is an irregular polygon, the center position is obtained by weighted averaging the coordinates of the polygon vertices (the weight can be determined according to the area of ​​the grid sub-region or the degree of temperature abnormality);

[0092] When several of the abnormal grid sub-areas are scattered, a mathematical model is established to find a position in the room to be treated that can minimize the sum of the distances from the fan to each abnormal area. By establishing a mathematical model, the room space and the position of the abnormal area are abstracted as coordinate points, and an optimization algorithm (such as a simulated annealing algorithm, a genetic algorithm, etc.) is used to solve the optimal position;

[0093] The above-mentioned technical means used to determine the initial setting position are all existing technologies and will not be described in detail here.

[0094] Specifically, the embodiment of the present invention can accurately quantify the distribution relationship between abnormal areas by calculating the relative distance between the center points of any two abnormal grid sub-areas, compare the mean of the relative distance with the preset distance, accurately judge the concentration of the abnormal areas, and provide a scientific basis for subsequent fan settings. When the abnormal areas are concentrated, the initial position of the fan is determined by calculating the geometric center of the concentrated abnormal area, which can ensure that the fan works directly on the abnormal area and improve processing efficiency. When the abnormal areas are scattered, the optimal position is found by establishing a mathematical model, which can ensure that the fan covers all abnormal areas in the shortest possible time and reduce energy consumption. By accurately judging the abnormal concentration and optimizing the initial position of the fan, the fan setting plan can be quickly determined to improve the response speed of the system.

[0095] Specifically, the steps of analyzing the real-time flow characteristics and determining the flow abnormality area include:

[0096] Based on the sensor, several real-time wind speeds and several real-time wind directions of any fan are collected in real time;

[0097] Draw a wind direction vector diagram corresponding to any fan based on the real-time wind speeds and the real-time wind directions;

[0098] The wind direction vector diagrams corresponding to the fans are analyzed, and the abnormal flow area is determined according to the analysis results.

[0099] It can be understood that drawing the wind direction vector diagram in the embodiment of the present invention includes: determining a drawing coordinate system, including a coordinate origin, a coordinate axis direction and a scale, and mapping the position of each sensor to the coordinate system; in the coordinate system, drawing a vector for each sensor position, the length of the vector represents the magnitude of the wind speed, and the direction of the vector represents the wind direction, and converting the real-time wind speed and real-time wind direction data into a vectorized representation, that is, drawing an arrow in the coordinate system, the direction of the arrow represents the wind direction, and the length of the arrow represents the wind speed. Drawing a wind direction vector diagram is a prior art and will not be repeated here.

[0100] Specifically, the step of determining the abnormal flow area according to the analysis result includes:

[0101] Plotting a plurality of wind direction vector diagrams in the same rectangular coordinate system to obtain a superimposed vector diagram;

[0102] The superimposed vector diagram is analyzed, a real-time coverage range is determined based on a number of real-time wind speeds and a number of real-time wind directions corresponding to any sensor, and an intersection area of ​​a number of coverage areas corresponding to a number of sensors is determined as the flow abnormality area.

[0103] It can be understood that the method of drawing several wind direction vector diagrams in the same rectangular coordinate system in an embodiment of the present invention can be achieved by determining the relative position relationship of several sensors, and drawing several sensors in the superimposed vector diagram based on the relative position relationship, and drawing vectors corresponding to several sensors based on the several wind direction vector diagrams to obtain the superimposed vector diagram.

[0104] See also Figure 3As shown in FIG. 1 , an example of the superimposed vector diagram described in an embodiment of the present invention is shown. A rectangular coordinate system for drawing the superimposed vector diagram is taken as the origin at the lower left corner of the room to be treated, the horizontal direction is the horizontal axis, and the vertical direction is the vertical axis. It is assumed that two fans are arranged in the room to be treated, and sensors are arranged around the fans accordingly. The wind speed collected by one sensor is 4 m / s. According to the scale of 1 cm representing 1 m / s, the corresponding vector length in the coordinate system is 4 cm. The wind direction is usually represented by an angle, with the positive direction of the X-axis being 0° and the counterclockwise direction being a positive angle. The direction of the vector is determined according to the wind direction angle. Starting from the sensor position in the coordinate system, arrows are drawn according to the wind direction angle to represent the vector. It is assumed that sensor A is located at coordinate point (4,3), and several wind speeds are respectively 4 m / s, 3 m / s, 4.4 m / s, and the corresponding wind directions are 45°, 30°, and 40°. Then one of the vectors of sensor A is represented by starting from point (2,3) and drawing a line segment with a length of 4 cm along the direction of 45° (with the positive direction of the X-axis as 0° and the counterclockwise direction as a positive angle). Sensor B is located at coordinate point (10,6). The wind speeds are 2.8 m / s, 2.5 m / s, and 3 m / s, respectively. The corresponding wind directions are 150°, 170°, and -135°. Then one of the vectors of sensor B is represented by starting from point (10,6) and drawing a line segment with a length of 2.5 cm along the direction of 170° (with the positive direction of the X-axis as 0° and the counterclockwise direction as a positive angle). Figure 3 shown.

[0105] See also Figure 4 As shown, the step of adjusting the initial setting parameters according to the analysis results of the abnormal flow area includes:

[0106] Step S310, determining a predicted overlapping coverage area based on initial setting positions, initial setting angles, and initial setting wind speeds of a plurality of fans corresponding to the real-time wind direction overlapping area;

[0107] Step S320, comparing the flow anomaly area with the predicted overlapped coverage area, and adjusting the initial setting parameters according to the comparison result.

[0108] It can be understood that, in the embodiment of the present invention, when the flow abnormality area is greater than or equal to the real-time wind direction overlap area, the initial setting position is adjusted and the initial setting wind speed is reduced so that the flow abnormality area is equal to or smaller than the predicted overlap coverage area;

[0109] When the flow anomaly area is smaller than or equal to the predicted overlap coverage area, the initial setting parameters are not adjusted.

[0110] It is understandable that, after the initial setting position and the initial setting wind speed are adjusted in the embodiment of the present invention, it is necessary to ensure that the coverage area of ​​the fan after the adjustment includes a number of the abnormal grid sub-areas.

[0111] It can be understood that, in the embodiment of the present invention, adjusting the initial setting position can connect the positions corresponding to the two fans corresponding to the flow abnormality area, determine the connecting straight line, and move the initial positions corresponding to the fans accordingly in the opposite direction of the connecting straight line. During the movement, the changes in the flow abnormality area are constantly judged, and the flow abnormality area is stopped when it is equal to or smaller than the predicted overlapping coverage area.

[0112] Specifically, the embodiment of the present invention compares the flow abnormality area with the predicted overlapping coverage area, accurately adjusts the initial setting parameters of the fan, so that the coverage area of ​​the fan is closer to the flow abnormality area, thereby improving the processing accuracy. By connecting the two fan positions corresponding to the flow abnormality area and moving the fan in the opposite direction along the connecting straight line, the position of the fan is adjusted in real time to ensure that the fan always works on the flow abnormality area.

[0113] Specifically, the step of determining the uniformity of the temperature change in the treatment chamber based on a number of real-time temperature changes includes:

[0114] Based on a preset frequency, a plurality of real-time temperature values ​​corresponding to a plurality of initial grid sub-areas are detected in real time, and the average of the plurality of real-time temperature values ​​is calculated to obtain the average temperature value of the initial grid area;

[0115] Calculate the difference between several temperature averages obtained at adjacent moments as the temperature change value, and determine the real-time temperature change based on the average of several temperature change values ​​within a preset period;

[0116] The standard deviation of several real-time temperature changes is calculated as the temperature change uniformity.

[0117] Specifically, the preset frequency in the embodiment of the present invention is 5 minutes;

[0118] The preset period is 1 hour.

[0119] Specifically, the step of calibrating the adjustment setting parameter according to the uniformity judgment result, or adjusting the preset interval, or adjusting the initial grid area includes:

[0120] Compare the temperature change uniformity with the first preset uniformity and the second preset uniformity respectively to obtain a comparison result;

[0121] When the temperature change uniformity is less than a second preset uniformity, adjusting the preset interval;

[0122] When the temperature change uniformity is greater than the second preset uniformity and less than the first preset uniformity, calibrating the adjustment setting parameter;

[0123] When the temperature change uniformity is greater than a first preset uniformity, adjusting the initial grid area;

[0124] Wherein, the first preset uniformity is greater than the second preset uniformity.

[0125] It can be understood that when the temperature change uniformity is greater than the first preset uniformity, it indicates that the temperature difference between each initial grid area is large and the temperature distribution is uneven, which may be caused by unreasonable fan settings. Therefore, the initial grid area is adjusted to reset the fan. When the temperature value of each initial grid area is greater than the preset temperature value, it means that the cooling effect is poor. Then, the initial grid area is reduced and the number of fans set is increased to improve the cooling effect.

[0126] When the temperature change uniformity is less than the second preset uniformity, it means that the temperatures of the initial grid areas are relatively close and the temperature distribution is relatively uniform, then the preset interval is adjusted to make the division of the abnormal area more accurate so that the fan adjustment range is more accurate, thereby improving the fan's refined control of the indoor environment;

[0127] When the temperature change uniformity is greater than the second preset uniformity and less than the first preset uniformity, it means that the temperature difference of each initial grid area is moderate. At this time, the fan operation parameters need to be calibrated to ensure that the fan can more effectively adjust the indoor temperature and achieve better comfort and energy saving effects. The specific operation includes adjusting the fan speed, wind direction angle, etc. to adapt to the current temperature distribution.

[0128] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0129] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. 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 fan operation control method based on Internet of Things data collection, characterized in that: include: Determine the standard coverage area of ​​the fan, divide the room to be treated based on the total space area of ​​the room to be treated and the standard coverage area, and obtain a number of initial grid areas; Dividing any of the initial grid areas at preset intervals, collecting a number of real-time temperature values ​​of a number of initial grid sub-areas after the division, and determining the initial setting parameters of any of the fans based on the comparison results of the number of real-time temperature values ​​and the preset temperature values; Collecting the real-time flow characteristics corresponding to a number of the fans when they are working based on the initial setting parameters, analyzing the real-time flow characteristics to determine the abnormal flow area, and adjusting the initial setting parameters according to the analysis results of the abnormal flow area to obtain the adjusted setting parameters; The steps of analyzing real-time flow characteristics to determine flow abnormality areas include: Based on the sensor, several real-time wind speeds and several real-time wind directions of any fan are collected in real time; Draw a wind direction vector diagram corresponding to any fan based on the real-time wind speeds and the real-time wind directions; Analyze the wind direction vector diagrams corresponding to the fans, and determine the abnormal flow area according to the analysis results; The step of determining the abnormal flow area according to the analysis result comprises: Plotting a plurality of wind direction vector diagrams in the same rectangular coordinate system to obtain a superimposed vector diagram; Analyze the superimposed vector diagram, determine the real-time coverage range based on a number of real-time wind speeds and a number of real-time wind directions corresponding to any sensor, and determine the intersection area of ​​a number of coverage areas corresponding to a number of sensors as the abnormal flow area; The step of adjusting the initial setting parameters according to the analysis results of the abnormal flow area includes: Determine the predicted overlapping coverage area based on the initial setting positions, initial setting angles and initial setting wind speeds of a number of fans corresponding to the real-time wind direction overlapping area; Comparing the abnormal flow area with the predicted overlapping coverage area, and adjusting the initial setting parameters according to the comparison result; Real-time detection of the real-time temperature changes corresponding to several initial grid areas, and judging the uniformity of the temperature changes in the processing chamber based on the several real-time temperature changes, so as to calibrate the adjustment setting parameters according to the uniformity judgment result, or adjust the preset interval, or adjust the initial grid area.

2. The fan operation control method based on Internet of Things data collection according to claim 1 is characterized in that: The steps of dividing the room to be treated based on the total space area and the standard coverage area range in the room to be treated include: Selecting the maximum value of the standard coverage area as the initial division standard; Traversing the total spatial area with the initial division standard, identifying the untraversed areas of the total spatial area in the traversal result and determining the areas of the untraversed areas; The initial division standard is reduced and the total space area is traversed again until the area of ​​the untraversed area is minimized, and then the actual division standard is determined, and the treatment room is divided according to the actual division standard.

3. The fan operation control method based on Internet of Things data collection according to claim 2 is characterized in that: The step of determining the initial setting parameters of any of the fans based on the comparison results of the real-time temperature values ​​and the preset temperature values ​​comprises: comparing the real-time temperature values ​​with the preset temperature values, and determining abnormal grid sub-regions based on the comparison results; The initial setting position, initial setting angle and initial setting wind speed of the fan are determined based on the abnormal area distribution of the plurality of abnormal grid sub-areas.

4. The fan operation control method based on Internet of Things data collection according to claim 3 is characterized in that: The step of determining the initial setting position, initial setting angle and initial setting wind speed of the fan based on the abnormal area distribution of the plurality of abnormal grid sub-areas comprises: Determining abnormal concentration based on the abnormal area distribution, and determining an initial setting position based on the abnormal concentration; determining an initial coverage area based on the initial setting position and the abnormal area distribution; The initial setting angle and the initial setting wind speed are determined based on the initial coverage area.

5. The fan operation control method based on Internet of Things data collection according to claim 4 is characterized in that: The step of judging abnormal concentration based on the abnormal area distribution includes: Calculating the relative distance between corresponding center points of any two of the abnormal grid sub-regions to obtain a number of corresponding relative distances between a number of abnormal grid sub-regions; Calculate the mean of the relative distances as the mean distance; The mean distance is compared with a preset distance, and the abnormal concentration is determined based on the comparison result.

6. The fan operation control method based on Internet of Things data collection according to claim 5 is characterized in that: The step of judging the uniformity of the temperature change in the processing chamber based on a plurality of real-time temperature changes comprises: Based on a preset frequency, a plurality of real-time temperature values ​​corresponding to a plurality of initial grid sub-areas are detected in real time, and the average of the plurality of real-time temperature values ​​is calculated to obtain the average temperature value of the initial grid area; Calculate the difference between several temperature averages obtained at adjacent moments as the temperature change value, and determine the real-time temperature change based on the average of several temperature change values ​​within a preset period; The standard deviation of several real-time temperature changes is calculated as the temperature change uniformity.

7. The fan operation control method based on Internet of Things data collection according to claim 6 is characterized in that: The step of calibrating the adjustment setting parameter according to the uniformity judgment result, or adjusting the preset interval, or adjusting the initial grid area includes: Compare the temperature change uniformity with the first preset uniformity and the second preset uniformity respectively to obtain a comparison result; When the temperature variation uniformity is less than a second preset uniformity, adjusting the preset interval; When the temperature change uniformity is greater than the second preset uniformity and less than the first preset uniformity, calibrating the adjustment setting parameter; When the temperature change uniformity is greater than a first preset uniformity, adjusting the initial grid area; Wherein, the first preset uniformity is greater than the second preset uniformity.

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