Analysis Method of Temperature, Humidity, Wind Speed, and Uniformity Simulation Site Cloud Map

Abstract

The present invention relates to the field of detection instrument and equipment, and more specifically, to a method for analyzing the simulation field cloud map of temperature, humidity, wind speed and uniformity, comprising the following steps: S1, respectively performing consistency calibration on the accuracies of a plurality of distribution probes and a plurality of universal wind speed sensors; S2, according to the requirements of the calibration procedure, arranging the distribution probes and the universal wind speed sensors at a plurality of distribution point positions in the environmental test chamber; S3, using the plurality of universal wind speed sensors to measure the wind field and wind speed at different positions in the environmental test chamber, and adjusting the position of the material stacking in the environmental test chamber by comparing and displaying the measurement results through the thermal cloud image analysis processor, so as to change the uniformity of the wind field in the environmental test chamber; S4, transmitting the data detected at the distribution point positions by the plurality of distribution probes to the thermal cloud image analysis processor; S5, transmitting the wind speed and wind direction detected at the distribution point positions by the plurality of universal wind speed sensors to the thermal cloud image analysis processor; S6, the data recording memory records in real time the data measured by the plurality of distribution probes and the plurality of universal wind speed sensors.

Description

Technical Field

[0001] The present invention relates to the field of detection instruments and equipment, and more specifically, to a method for analyzing the simulation field cloud map of temperature, humidity, wind speed, and uniformity. Background Art

[0002] In the past, when a metrology and testing institution calibrated an environmental test chamber on-site, points were generally arranged on-site. When arranging points, generally 9 - 15 points were arranged on the environmental test chamber, and each point was evenly arranged on the upper, middle, and lower layers of the environmental test chamber respectively.

[0003] For example, in accordance with the calibration specification JJF1101 - 2019, when arranging points, the labels of the points corresponding to each probe are 1A, 2, 3, 4.......15O (as Figure 3 shown), and in accordance with the calibration specification JJF1564 - 2016, when arranging points, the labels of the points corresponding to each probe are ①, ②, ③, ④......(as Figure 4 shown). Especially in the detection method of BG / T5170.5 - 2016, the layout positions and unit code identifiers of the temperature, wind speed, and humidity probes for 15 point - arranging probes are more chaotic and complex identifiers ●A, B●, C●, ●D, ●Dh (representing humidity)……(as Figure 5 shown). However, for the point - arranging of different detection specifications or test methods, there are similar probe layout positions and the number of probe layout points. In order to distinguish the probe layout codes defined by each, there are numbers 1, 2, 3, 4…15, capital letters A, B, C, D…O, and lowercase letters a, b, c, d…o. For two parameters at the same position, symbols need to be added to represent two types of parameters, such as 1A, 8B, Dh, etc. The on - site detection instruments actually used are a set of instruments that can be applicable to multiple detection specifications and test methods, which can also be understood as the same type of probe can be applied in multiple detection procedures. Taking the temperature probe as an example, for the same No. 1 point - arranging probe, when the service calibration specification is JJF1101 - 2019, the No. 1 probe is labeled as 1A, when the service calibration specification is JJF1564 - 2016, the identification symbol is ①, and when serving the GB / T5170.5 - 2016 method, the probe identification character line is ●A. It can be seen that the probe position codes of each detection specification or method are defined with different symbols, while the probe layout positions are the same.

[0004] To sum up, when front - line metrology personnel arrange probes according to different procedures, detection specialists need to memorize the probe number definitions corresponding to each specification when arranging probes on - site, and pair each probe with the corresponding test specification among a pile of probes marked with various symbols in order to accurately locate the position where the probe should be arranged. This is just one of the troubles in the on - site work of arranging various probes on - site.

[0005] In addition, the analysis interface (content) of conventional on-site multi-channel detectors is generally in the form of channel data columns, which is equivalent to a bunch of values ​​jumping around, making people dizzy and unable to understand the process data at all, making the values ​​measured on-site appear disordered. In addition, on-site point collection simultaneously displays the data detected by the probes at each point. There are a large number of probes, and the dynamic changes in the values ​​are irregular. On-site inspection specialists, especially equipment users, cannot timely grasp the difference in the values ​​of each point and track and locate the values. Therefore, metrology personnel usually ignore the deviation of the probe values ​​at each point and only pay attention to whether the results are qualified or not. However, for those who use environmental test chamber equipment, it is most important to grasp the temperature and humidity distribution in the environmental test chamber in real time and understand the uniformity of temperature and humidity. The instruments currently used are indeed difficult to timely judge the dynamic changes in the value distribution of all probes at the point in a digital form.

[0006] In addition, most of the current metrology calibration is carried out with empty boxes, while materials will be placed in environmental test chambers during production and experiments. The test results are very different from those with empty boxes. The stacking (placing) of materials in the environmental test chamber is the only medium that affects the uniformity of temperature and humidity. The shape, specifications, and quantity of the materials are uncertain factors and vary. It is the built-in materials that change the uniformity of temperature and humidity in the chamber, and the uniformity of temperature and humidity affects the quality of the materials. Therefore, in the production and experimental process, temperature and humidity uniformity is an important parameter requirement. The current instrument analysis data method makes users dazzled!

[0007] As we all know, the way to change the temperature and humidity distribution is to change the direction of the wind in the box, or to change the wind field, which changes the temperature and humidity field. The temperature and humidity uniformity required for production and experiments is different in the wind field of an empty temperature and humidity box and the wind field with materials placed. The wind field is also different for different material placement angles and positions. This proves that it is necessary to test the direction and uniformity of wind speed. Imagine that if 15 temperature probes, 15 humidity probes, and 15 wind speed probes are arranged in an environmental test box, a total of 45 values ​​will jump on the display screen at the same time. This is simply impossible for front-line metrologists to keep up with. The instruments currently on the market show this effect to metrologists and users.

[0008] Since the current detection is for empty boxes, taking the test method of GB / T5170.5-2016 as an example, before detecting the environmental test chamber, it is necessary to place gauze or light cloth strips at the positions of the distribution probes in advance according to the specification requirements. After closing the chamber door, turn on the equipment, measure the wind direction at each distribution point, make a written record of the wind direction at each measurement point, then open the chamber door of the environmental test chamber, align the wind speed probe with the wind direction and install it, and arrange the temperature and humidity probes together. After closing the door, start the tests for each range. However, the wind direction inside the box with materials is completely different from that of the empty box. When there are materials, the wind inside the box is chaotic turbulent wind, so it will have a greater impact on the measurement results. For equipment users or front-line metrology personnel, during the test process, it is necessary to simultaneously observe 15 wind speed values, 15 temperature values, and 4 humidity values, compare the maximum and minimum points of each group of values. One experiment or one process requires continuous work for several hours. It is difficult to take care of both the values and the process at the same time.

[0009] Therefore, it is necessary to propose a method for analyzing the simulation on-site cloud maps of temperature, humidity, wind speed, and uniformity to solve the above problems. Summary of the Invention

[0010] The present invention overcomes at least one of the above-mentioned defects (deficiencies) of the prior art and provides a method for analyzing the simulation on-site cloud maps of temperature, humidity, wind speed, and uniformity. In the present invention, the heat map shows a gradual change in color temperature from red to blue according to the temperature value from high to low. The cloud map has the same form of expression as the heat map. The unit value can be a form of comparison of the same unit values such as humidity, wind speed, pressure, gas composition, etc., which is called a cloud map. The distribution probes include one or more combinations of temperature probes, humidity probes, CO2 concentration detection probes, and O2 concentration detection probes.

[0011] To solve the above technical problems, the technical solution of the present invention is as follows: A method for analyzing the simulation on-site cloud maps of temperature, humidity, wind speed, and uniformity, comprising the following steps:

[0012] S1, respectively calibrate the accuracy of multiple distribution probes and multiple universal wind speed sensors to be consistent, so that the numerical differences of the multiple distribution probes and multiple universal wind speed sensors in the highest and lowest two channel grids meet the measurement accuracy requirements;

[0013] S2, according to the requirements of the calibration procedure, set distribution probes and universal wind speed sensors at multiple distribution points in the environmental test chamber;

[0014] S3, use multiple universal wind speed sensors to measure the wind field and wind speed at different points in the environmental test chamber, and adjust the position of the material stack in the environmental test chamber by comparing and displaying the measurement results through the thermal cloud image analysis processor, so as to change the uniformity of the wind field in the environmental test chamber.

[0015] S4. Multiple distributed probes transmit the detected data at the distributed points to the thermal cloud image analysis processor. The thermal cloud image analysis processor compares the data of multiple distributed probes and identifies the positions of the distributed probes corresponding to the real-time highest and lowest values respectively;

[0016] S5. Multiple universal wind speed sensors transmit the detected wind speed and wind direction at the distributed points to the thermal cloud image analysis processor. The cloud image analysis processor compares the wind direction and wind speed data of multiple universal wind speed sensors and identifies the positions of the universal wind speed sensors corresponding to the real-time highest and lowest values respectively;

[0017] S6. The data recording memory records the data measured by multiple distributed probes and multiple universal wind speed sensors in real time. When the thermal cloud image analysis processor measures that the change amount of the data recorded in the data recording memory within a unit time is lower than the set value, the thermal cloud image analysis processor sends a signal to the alarm, and the alarm gives an alarm prompt to the staff.

[0018] Further, the step S1 includes the following steps:

[0019] S11. Place multiple distributed probes or multiple universal wind speed sensors in the same test environment respectively, and wait for the detected values in multiple distributed probes and multiple universal wind speed sensors to tend to a stable state;

[0020] S12. After the detected values in multiple distributed probes and multiple universal wind speed sensors are stable, through one-key correction on the thermal cloud image analysis processor, multiple distributed probes and multiple universal wind speed sensors are corrected back to the initial or unified state;

[0021] S13. Compare whether the numerical difference between the highest and lowest two channel grids in the thermal cloud image analysis processor meets the accuracy requirement;

[0022] S14. If the accuracy of the numerical difference within the grids between the highest and lowest two channels meets the requirement, the corresponding distributed probes and universal wind speed sensors can be used. If the accuracy of the numerical difference within the grids between the highest and lowest two channels does not meet the requirement, after replacing the distributed probes and / or universal wind speed sensors with the largest difference between the numerical values of the highest and lowest two channel grids and the numerical values of other channel grids, repeat step S11.

[0023] Furthermore, the step S2 includes the following steps:

[0024] S21. According to the requirements of calibration procedures JJF1564-2016, JJF1101-2019 or GB / T5170.5-2016, corresponding cloth point probes and universal wind speed sensors are respectively set at the cloth point positions on the upper, middle and lower layers of the environmental test chamber.

[0025] S22. Using the display form of the thermal cloud image analysis processor, when installing the cloth point probe on site, the staff can quickly locate the cloth point position of the cloth point probe by pressing the probe temperature sensing end of the cloth point probe with their finger, and install the corresponding cloth point probe and the corresponding universal wind speed sensor at the corresponding cloth point position.

[0026] Further, the step S3 includes the following steps:

[0027] S31. Control the hot ball in the universal wind speed sensor to generate heat, so that the temperature near the hot ball is higher than the ambient temperature.

[0028] S32. According to the temperature sensors evenly arranged outside the hot ball, the temperature of the hot ball is monitored in real time. According to the temperature difference of the temperature sensors in different directions and the wind speed value, the air flow rate is judged. According to the change of the air flow rate and temperature, the thermal cloud image analysis processor plans an optimal wind direction channel.

[0029] S33. Calculate the wind speed value based on the lowest temperature value monitored by the temperature sensor and the energy consumed by the hot ball.

[0030] S34. According to the wind direction channel and wind speed value planned by the thermal cloud image analysis processor, stack the materials in the environmental test chamber outside the wind direction channel, so that the stacking of the materials does not block the wind direction channel, thereby changing the uniformity of the wind field in the environmental test chamber.

[0031] Even further, the step S4 includes the following steps:

[0032] S41. Multiple cloth point probes transmit the temperature data detected at the cloth point positions to the thermal cloud image analysis processor.

[0033] S42. The thermal cloud image analysis processor respectively compares the temperature and humidity of a single cloth point probe longitudinally, and records the highest and lowest historical values of the temperature and humidity at their respective cloth point positions by coloring.

[0034] S43. The thermal cloud image analysis processor respectively compares the wind speed and wind direction data of the temperature and humidity of multiple cloth point probes in the same time period horizontally, and records the highest and lowest values of the temperature and humidity in the same time period by coloring.

[0035] Further, the step S5 includes the following steps:

[0036] S51. The hot cloud image analysis processor displays the dynamic changes and numerical value changes of wind speed, wind direction, and wind field in a single universal wind speed sensor in the historical data through the display method of a hot cloud map, and marks the highest and lowest numerical values in the historical data.

[0037] S52. The hot cloud image analysis processor displays the dynamic changes and numerical value distribution of wind speed, wind direction, and wind field in multiple universal wind speed sensors during the same time period through the display method of a hot cloud map, and marks the positions of the universal wind speed sensors corresponding to the highest and lowest numerical values within the same time period.

[0038] Furthermore, the step S6 includes the following steps:

[0039] S61. The data recording memory automatically records in real time the data measured by multiple distribution probes and multiple universal wind speed sensors, and sends early warnings to the staff through the alarm about the automatic recording status and the end status of automatic recording.

[0040] S62. When the hot cloud image analysis processor detects that the change amount of the data continuously recorded twice at the same distribution point position in the data recording memory within the unit time is infinitely close to the set value, the hot cloud image analysis processor automatically judges that the distribution point position is about to approach the stable state, and sends a signal to the alarm, and the alarm sends an early warning to the staff.

[0041] S63. When the change amount of the data continuously detected by the hot cloud image analysis processor within the unit time is lower than the set value for many times, the hot cloud image analysis processor records the stability and uniformity numerical values of the distribution point position, and sends a signal to the alarm, and the alarm sends an alarm prompt to the staff.

[0042] Further, the alarm sends an alarm prompt to the staff by means of on-site wireless or 4G cloud transmission or directly outputting a on-off signal by the host. In practical applications, the alarm can also send an alarm prompt to the staff in other ways, which are all within the protection scope of the present invention.

[0043] In the present invention, a temperature, humidity, wind speed, and uniformity simulation on-site cloud map analysis system is disclosed, including an environmental test chamber, a detection analyzer, a hot cloud image analysis processor, an alarm, a data recording memory, multiple distribution probes, and multiple universal wind speed sensors;

[0044] The distribution probes and the universal wind speed sensors are arranged at the distribution point positions of the environmental test chamber;

[0045] The thermal cloud image analysis processor is respectively connected to the detection analyzer, the alarm, the data recording memory, the distribution probe and the universal wind speed sensor. Since the thermal cloud image analysis processor is respectively connected to the detection analyzer, the alarm, the data recording memory, the distribution probe and the universal wind speed sensor, various data sensed by multiple distribution probes and multiple universal wind speed sensors can be transmitted to the thermal cloud image analysis processor. The detected data is displayed to front-line metrology personnel through the detection analyzer in the form of a thermal cloud map, facilitating front-line metrology personnel to promptly discover value deviations of the distribution probes.

[0046] Furthermore, the distribution probe includes one or more combinations of a temperature probe, a humidity probe, a CO2 concentration detection probe and an O2 concentration detection probe. In practical applications, according to the detection requirements, probes with multiple different functions can be packaged together. When the function is needed, it only needs to be connected for use. Since probes with multiple different functions have been packaged together during production, when staff perform distribution, they only need to press their finger on the temperature probe, and based on the temperature change, they can quickly know the distribution positions of these probes, which is simple and convenient.

[0047] Compared with the prior art, the beneficial effects of the technical solution of the present invention are:

[0048] The temperature, humidity, wind speed, and uniformity simulation on-site cloud map analysis method disclosed by the present invention superimposes the cloud map representation form on the simulation on-site distribution interface. When distributing probes on-site, holding the temperature-sensing end of the probe by hand can quickly locate the distribution position of the distribution probe, without the need to add various numbered identification symbols to the distribution probe. Therefore, when distributing on-site, it is no longer affected by a pile of wires, and the distribution position of the distribution probe can be quickly located and the distribution can be quickly completed. In addition, the simulation temperature and humidity chamber on-site distribution interface can quickly and intuitively reflect the high and low temperature values of each distribution point in the form of a thermal map during on-site detection and calibration. The red color block represents the highest temperature, and the blue color block represents the lowest temperature distribution position. Therefore, even in a data list with more channels, through the cloud map analysis interface, it is possible to quickly know which position in the simulation on-site calibrated temperature and humidity chamber has the highest temperature and which position has the lowest temperature. When third-party self-calibrates various probes, one key can correct multiple probes of the same type, and the thermal cloud image analysis processor can quickly know the results after self-calibration and efficiently obtain the consistency degree of all probes after self-calibration through color comparison of channel grids. In addition, compared with the prior art, the present invention can stack materials in the environmental test chamber. After the materials are stacked, the wind direction in the environmental test chamber is completely different from that in the empty chamber state. In the environmental test chamber with materials, the wind direction is chaotic and turbulent. Through the universal wind speed sensor and the thermal cloud image analysis processor, the chaotic turbulent wind can be accurately measured for the air duct, and the stacking of materials can be adjusted according to needs to make the wind field in the environmental test chamber more uniform. Description of the Drawings

[0049] Figure 1 It is a flowchart of the method for analyzing the cloud map of temperature, humidity, wind speed, and uniformity simulation on-site in the present invention.

[0050] Figure 2 It is a schematic structural diagram of the system for analyzing the cloud map of temperature, humidity, wind speed, and uniformity simulation on-site in the present invention.

[0051] Figure 3 It is a schematic structural diagram of the distribution point probe in the present invention.

[0052] Figure 4 It is a schematic structural diagram after the distribution points are arranged in the environmental test chamber according to the calibration specification JJF 1101-2019 in the present invention.

[0053] Figure 5 In the present invention, it is a schematic structural diagram after the distribution points are arranged in the environmental test chamber according to the calibration specification JJF 1564-2016.

[0054] Figure 6 In the present invention, it is a schematic structural diagram after the distribution points are arranged in the environmental test chamber according to the calibration specification GB / T 5170.5-2016.

[0055] In the figure, 1 is the environmental test chamber, 2 is the detection and analysis instrument, 3 is the thermal cloud image analysis processor, 4 is the alarm, 5 is the data recording and storage device, 6 is the distribution point probe, 7 is the universal wind speed sensor, 8 is the temperature probe, 9 is the humidity probe, 10 is the CO2 concentration detection probe, and 11 is the O2 concentration detection probe. Specific embodiments

[0056] The attached drawings are only for illustrative purposes and should not be construed as limitations on this patent; for better illustration of this embodiment, some components in the attached drawings may be omitted, enlarged, or reduced, and do not represent the dimensions of the actual product; for those skilled in the art, it is understandable that some well-known structures and their descriptions in the attached drawings may be omitted.

[0057] In the description of the present invention, it should be noted that unless otherwise clearly specified and defined, the terms "installation" and "connection" 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 directly connected or indirectly connected through an intermediate medium, and it can be the internal connection of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. The technical solutions of the present invention will be further described below with reference to the attached drawings and embodiments.

[0058] As Figure 1 shown, a method for analyzing the cloud map of temperature, humidity, wind speed, and uniformity simulation on-site includes the following steps:

[0059] S1. Calibrate the accuracy of multiple distributed probes and multiple omnidirectional wind speed sensors respectively to make the numerical difference between the multiple distributed probes and the multiple omnidirectional wind speed sensors within the highest and lowest two channel grids meet the measurement accuracy requirements;

[0060] S2. Set distributed probes and omnidirectional wind speed sensors respectively at multiple distributed point positions in the environmental test chamber according to the requirements of the calibration procedure;

[0061] S3. Use multiple omnidirectional wind speed sensors to measure the wind field and wind speed at different positions in the environmental test chamber, and adjust the position of the material stacking in the environmental test chamber by comparing and displaying the measurement results through the thermal cloud image analysis processor, so as to change the uniformity of the wind field in the environmental test chamber;

[0062] S4. Multiple distributed probes transmit the detected data at the distributed point positions to the thermal cloud image analysis processor. The thermal cloud image analysis processor compares the data of multiple distributed probes and identifies the positions of the distributed probes corresponding to the real-time highest and lowest values respectively;

[0063] S5. Multiple omnidirectional wind speed sensors transmit the detected wind speed and wind direction at the distributed point positions to the thermal cloud image analysis processor. The cloud image analysis processor compares the wind direction and wind speed data of multiple omnidirectional wind speed sensors and identifies the positions of the omnidirectional wind speed sensors corresponding to the real-time highest and lowest values respectively;

[0064] S6. The data recording memory records the data measured by multiple distributed probes and multiple omnidirectional wind speed sensors in real time. When the change amount of the data recorded in the data recording memory measured by the thermal cloud image analysis processor within a unit time is lower than the set value, the thermal cloud image analysis processor sends a signal to the alarm, and the alarm gives an alarm prompt to the staff.

[0065] Step S1 includes the following steps:

[0066] S11. Place multiple distributed probes or multiple omnidirectional wind speed sensors in the same test environment respectively, and wait for the detected values in the multiple distributed probes and the multiple omnidirectional wind speed sensors to tend to a stable state;

[0067] S12. After the detected values in the multiple distributed probes and the multiple omnidirectional wind speed sensors are stable, perform one-key correction on the thermal cloud image analysis processor to correct multiple distributed probes and multiple omnidirectional wind speed sensors back to the initial or unified state;

[0068] S13. In the thermal cloud image analysis processor, compare whether the numerical difference within the highest and lowest two channel grid numbers meets the accuracy requirements;

[0069] S14. If the accuracy of the numerical difference within the number of grids between the highest and lowest channels meets the requirements, the corresponding distribution point probe and universal wind speed sensor can be used. If the accuracy of the numerical difference within the number of grids between the highest and lowest channels does not meet the requirements, after replacing the distribution point probe and / or universal wind speed sensor with the largest numerical difference between the highest and lowest channel grid values and the values in other channel grids, repeat step S11.

[0070] Step S2 includes the following steps:

[0071] S21. According to the requirements of calibration procedures JJF1564 - 2016, JJF1101 - 2019, or GB / T5170.5 - 2016, set the corresponding distribution point probe and universal wind speed sensor at the distribution point positions on the upper, middle, and lower layers of the environmental test chamber respectively.

[0072] S22. Using the display form of the thermal cloud image analysis processor, when installing the distribution point probe on - site, the staff can quickly locate the distribution position of the distribution point probe by pressing the temperature - sensing end of the distribution point probe with their finger, and install the corresponding distribution point probe and the corresponding universal wind speed sensor at the corresponding distribution point positions.

[0073] Step S3 includes the following steps:

[0074] S31. Control the hot - ball inside the universal wind speed sensor to generate heat, so that the temperature near the hot - ball is higher than the ambient temperature.

[0075] S32. According to the temperature sensors evenly arranged outside the hot - ball, monitor the temperature of the hot - ball in real - time. Judge the air - flow rate according to the temperature difference and wind speed value of the temperature sensors in different directions. Using the cloud image analysis processor, plan an optimal wind - direction channel according to the change of the air - flow rate and temperature.

[0076] S33. Calculate the wind speed value based on the lowest temperature value monitored by the temperature sensor and the energy consumed by the hot - ball.

[0077] S34. According to the wind - direction channel and wind speed value planned by the cloud image analysis processor, stack the materials in the environmental test chamber outside the wind - direction channel, so that the stacking of the materials does not block the wind - direction channel, thereby changing the uniformity of the wind field in the environmental test chamber.

[0078] Step S4 includes the following steps:

[0079] S41. Multiple distribution point probes transmit the temperature data detected at the distribution point positions to the thermal cloud image analysis processor.

[0080] S42, the thermal cloud image analysis processor longitudinally compares the temperature and humidity of a single distributed probe respectively, and color-codes and records the historical maximum and minimum values of temperature and humidity at their respective distributed probe positions;

[0081] S43, the thermal cloud image analysis processor horizontally compares the wind speed and wind direction data of the temperature and humidity of multiple distributed probes in the same time period, and color-codes and records the maximum and minimum values of temperature and humidity in the same time period respectively.

[0082] Step S5 includes the following steps:

[0083] S51, the thermal cloud image analysis processor displays according to the dynamic changes and numerical value changes of wind speed, wind direction and wind field in a single universal wind speed sensor in the historical data through the display method of a thermal cloud map, and marks the highest and lowest numerical values in the historical data;

[0084] S52, the thermal cloud image analysis processor displays according to the dynamic changes and numerical value distribution of wind speed, wind direction and wind field in multiple universal wind speed sensors in the same time period through the display method of a thermal cloud map, and marks the positions of the universal wind speed sensors corresponding to the highest and lowest numerical values in the same time period respectively.

[0085] Step S6 includes the following steps:

[0086] S61, the data recording memory automatically records the data measured by multiple distributed probes and multiple universal wind speed sensors in real time, and sends a warning to the staff through an alarm about the automatic recording status and the automatic recording end status;

[0087] S62, when the thermal cloud image analysis processor detects that the change amount of the data continuously recorded twice at the same distributed probe position in the unit time is infinitely close to the set value, the thermal cloud image analysis processor automatically judges that this distributed probe position is about to approach a stable state, and sends a signal to the alarm, and the alarm sends a warning to the staff;

[0088] S63, when the thermal cloud image analysis processor continuously detects that the change amount of the data in the unit time is lower than the set value for multiple times, the thermal cloud image analysis processor records the stability and uniformity numerical values of this distributed probe position, and sends a signal to the alarm, and the alarm sends an alarm prompt to the staff.

[0089] In the present invention, the alarm sends an alarm prompt to the staff by means of on-site wireless or 4G cloud transmission or directly outputting a on-off signal by the host. In practical applications, the alarm can also send an alarm prompt to the staff by other means, and all of them are within the protection scope of the present invention.

[0090] Such asFigures 2 - 6 As shown, in the present invention, a temperature, humidity, wind speed, and uniformity simulation on-site cloud map analysis system is disclosed, which includes an environmental test chamber 1, a detection and analysis instrument 2, a thermal cloud image analysis processor 3, an alarm 4, a data recording and storage device 5, a plurality of distribution probes 6, and a plurality of universal wind speed sensors 7; the distribution probes 6 and the universal wind speed sensors 7 are arranged at the distribution points of the environmental test chamber 1; the thermal cloud image analysis processor 3 is respectively connected to the detection and analysis instrument 2, the alarm 4, the data recording and storage device 5, the distribution probes 6, and the universal wind speed sensors 7. Since the thermal cloud image analysis processor 3 is respectively connected to the detection and analysis instrument 2, the alarm 4, the data recording and storage device 5, the distribution probes 6, and the universal wind speed sensors 7, various data sensed by the plurality of distribution probes 6 and the plurality of universal wind speed sensors 7 can be transmitted to the thermal cloud image analysis processor 3. The thermal cloud image analysis processor 3 displays the detected data in the form of a thermal cloud map to the front-line metrology personnel through the detection and analysis instrument 2, facilitating the front-line metrology personnel to promptly discover the value deviation of the distribution probe 6. In the present invention, the distribution probe 6 includes one or more combinations of a temperature probe 8, a humidity probe 9, a CO2 concentration detection probe 10, and an O2 concentration detection probe 11. In practical applications, according to the detection needs, probes with multiple different functions can be packaged together. When the function needs to be used, only connection is required for use. Since probes with multiple different functions have been packaged together during production, when the staff is distributing points, they only need to press their finger on the temperature probe, and they can quickly know the positions of these probe distribution points according to the temperature change, which is simple and convenient.

[0091] In the figure, the description of the positional relationship is only for illustrative purposes and should not be construed as a limitation of this patent; obviously, the above embodiments of the present invention are merely examples given to clearly illustrate the present invention and are not limitations on the implementation manners of the present invention. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation manners here. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention shall be included in the protection scope of the claims of the present invention.

Claims

1. A method for analyzing a temperature, humidity, wind speed, and uniformity simulation on-site cloud map, characterized in that: The following steps are involved: S1, respectively calibrate the accuracy of multiple point probes and multiple universal wind speed sensors to ensure that the value difference of the multiple point probes and multiple universal wind speed sensors in the highest and lowest two channel grids meets the measurement accuracy requirements; S2, according to the requirements of the calibration procedure, point probes and universal wind speed sensors are respectively set at multiple points in the environmental test chamber; S3, using multiple universal wind speed sensors to measure the wind field and wind speed at different points in the environmental test chamber, and adjusting the position of the material stacking in the environmental test chamber by comparing and displaying the measurement results through the thermal cloud image analysis processor, thereby changing the uniformity of the wind field in the environmental test chamber; S4, multiple point probes transmit the data detected at the point positions to the thermal cloud image analysis processor, which compares the data of multiple point probes and identifies the positions of the point probes corresponding to the highest and lowest real-time values; S5, multiple universal wind speed sensors transmit the wind speed and wind direction detected at the deployment points to the thermal cloud image analysis processor, and the cloud image analysis processor compares the wind direction and wind speed data of the multiple universal wind speed sensors, and identifies the positions of the universal wind speed sensors corresponding to the highest and lowest real-time values; S6, the data recording memory records the data measured by multiple point probes and multiple universal wind speed sensors in real time. When the thermal cloud image analysis processor measures that the change in the data recorded in the data recording memory per unit time is lower than the set value, the thermal cloud image analysis processor sends a signal to the alarm device, and the alarm device issues an alarm prompt to the staff.

2. The temperature, humidity, wind speed and uniformity simulation site cloud map analysis method according to claim 1 is characterized in that: The step S1 includes the following steps: S11, placing a plurality of point-distributed probes or a plurality of universal wind speed sensors in the same test environment at the same time, and waiting for the detection values ​​in the plurality of point-distributed probes and the plurality of universal wind speed sensors to become stable; S12, when the detection values ​​of the multiple point-distributed probes and the multiple universal wind speed sensors are stabilized, a one-key correction is performed on the thermal cloud image analysis processor so that the multiple point-distributed probes and the multiple universal wind speed sensors are corrected back to an initial or unified state; S13, comparing in the thermal cloud image analysis processor whether the numerical difference between the highest and lowest two channel grids meets the accuracy requirement; S14, if the accuracy of the numerical difference within the grid numbers between the highest and lowest two channels meets the requirements, the corresponding point-distributed probes and universal wind speed sensors can be used. If the accuracy of the numerical difference within the grid numbers of the highest and lowest two channels does not meet the requirements, replace the point-distributed probes and / or universal wind speed sensors whose numerical values ​​of the highest and lowest two channel grids have the largest difference with the numerical values ​​of other channel grids, and then repeat step S11.

3. The temperature, humidity, wind speed and uniformity simulation site cloud map analysis method according to claim 1 is characterized in that: The step S2 includes the following steps: S21, according to the requirements of the calibration procedures JJF1564-2016 or JJF1101-2019 or GB / T5170.5-2016, corresponding point probes and universal wind speed sensors are respectively set at the points on the upper, middle and lower layers of the environmental test chamber; S22, using the performance of the thermal cloud image analysis processor, when installing the point-distribution probe on site, the staff presses the temperature sensing end of the probe with their fingers to quickly locate the point-distribution probe, and installs the corresponding point-distribution probe and the corresponding universal wind speed sensor at the corresponding point-distribution point.

4. The temperature, humidity, wind speed and uniformity simulation site cloud map analysis method according to claim 1, characterized in that: The step S3 includes the following steps: S31, controlling the heat ball in the universal wind speed sensor to generate heat so that the temperature near the heat ball is higher than the ambient temperature; S32, monitoring the temperature of the hot ball in real time using temperature sensors evenly arranged outside the hot ball, determining the wind flux based on the temperature difference and wind speed values ​​of the temperature sensors at different positions, and planning an optimal wind direction channel using a cloud image analysis processor based on the change in wind flux and temperature; S33, calculating the wind speed value based on the lowest temperature value monitored by the temperature sensor and the energy consumed by the hot ball; S34, according to the wind direction channel and wind speed value planned by the cloud image analysis processor, the materials in the environmental test box are stacked outside the wind direction channel so that the stacking of the materials does not block the wind direction channel, thereby changing the uniformity of the wind field in the environmental test box.

5. The temperature, humidity, wind speed and uniformity simulation site cloud map analysis method according to claim 1, characterized in that: The step S4 includes the following steps: S41, the multiple probes transmit the temperature data detected at the points to the thermal cloud image analysis processor; S42, the thermal cloud image analysis processor longitudinally compares the temperature and humidity of the individual probes, and records the historical maximum and minimum values ​​of the temperature and humidity at the respective probe locations by coloring; S43, the thermal cloud image analysis processor compares the wind speed and wind direction data of the temperature and humidity of multiple probes in the same time period horizontally, and records the highest and lowest values ​​of the temperature and humidity in the same time period in color.

6. The temperature, humidity, wind speed and uniformity simulation site cloud map analysis method according to claim 1, characterized in that: The step S5 includes the following steps: S51, the thermal cloud image analysis processor displays the dynamic changes and numerical changes of wind speed, wind direction and wind field in a single universal wind speed sensor in the historical data through the display of a thermal cloud map, and identifies the highest and lowest values ​​in the historical data; S52, the thermal cloud image analysis processor displays the dynamic changes and numerical distribution of wind speed, wind direction and wind field in multiple universal wind speed sensors in the same time period through the display of a thermal cloud map, and identifies the positions of the universal wind speed sensors corresponding to the highest and lowest values ​​in the same time period.

7. The temperature, humidity, wind speed and uniformity simulation site cloud chart analysis method according to claim 1, characterized in that: The step S6 includes the following steps: S61, the data recording memory automatically records the data measured by the multiple point probes and the multiple universal wind speed sensors in real time, and issues an early warning of the automatic recording state and the automatic recording end state to the staff through an alarm device; S62, when the thermal cloud image analysis processor detects that the data recording storage device is at the same distribution point, and the change in the data recorded twice in a unit time is infinitely close to the set value, the thermal cloud image analysis processor automatically determines that the distribution point is about to approach a stable state, and sends a signal to the alarm device, and the alarm device issues an early warning to the staff; S63, when the change in data detected by the thermal cloud image analysis processor for multiple consecutive times per unit time is lower than the set value, the thermal cloud image analysis processor records the stability and uniformity values ​​of the distribution point and sends a signal to the alarm device, which issues an alarm prompt to the staff.

8. The temperature, humidity, wind speed and uniformity simulation site cloud diagram analysis method according to claim 7, characterized in that: The alarm device sends an alarm prompt to the staff through on-site wireless or 4G cloud transmission or by directly outputting an on-off signal from the host.

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