A factory remote monitoring system based on Internet of Things data collection

Abstract

The present invention relates to the field of remote monitoring of factories, and particularly to a factory remote monitoring system based on Internet of Things data collection. The intelligent monitoring system includes a detection module, which includes a number of acceleration sensors for detecting the vibration of the article storage box, a number of temperature and humidity sensors for detecting the temperature and humidity inside the carriage, and a laser scanner for obtaining a 3D image inside the carriage, and a air supply module, which includes a main air outlet and a number of side air outlets. The central control module adjusts the vehicle speed, the blowing residence time of the side air outlets, and the air supply volume of the main air outlet according to the data detected by the detection module. By adjusting the vehicle speed, the influence of excessive vibration generated by the vehicle due to too high vehicle speed during transportation on vibration-sensitive articles is reduced. By adjusting the blowing residence time of the side air outlets and the air supply volume of the main air outlet, the air circulation and temperature stability inside the carriage during the transportation of sensitive articles are effectively guaranteed, thereby avoiding the influence on the quality stability of the articles.

Description

Technical Field

[0001] The present invention relates to the field of sensitive item monitoring, and particularly to a factory remote monitoring system based on Internet of Things data collection. Background Art

[0002] At present, the logistics industry is developing rapidly. Existing factories have relatively high requirements for logistics transportation (such as items, chilled fresh products, etc.), not only for the temperature inside the carriage of transportation vehicles, but also for the humidity inside the carriage. Therefore, ventilation slots, air outlets, etc. must be provided inside the carriage to ensure air circulation inside the carriage, thereby guaranteeing the quality of transported items.

[0003] Chinese Patent Publication No.: CN218432802U discloses a sensitive item incubator, which includes an outer box body. An inner box body is fixedly connected inside the outer box body. A refrigeration component and a lithium battery are installed on the inner wall of the outer box body. A heat insulation layer is provided between the outer box body and the inner box body. The refrigeration component is composed of a heat sink, a heat insulation pad, a cold-end fan, a heat conduction block, a heat dissipation fan, and a semiconductor refrigeration sheet. One side of the heat dissipation fan is detachably connected to the heat sink. One side of the heat sink is detachably connected to the heat insulation pad. The semiconductor refrigeration sheet is detachably connected inside the heat insulation pad. One side of the heat insulation pad is detachably connected to the heat conduction block.

[0004] During the transportation of sensitive items, the vibration of the transport vehicle and the air fluidity inside the carriage will both affect the quality stability of the items. However, in the prior art, the vehicle speed is not accurately regulated based on the vibration level during the driving of the transport vehicle, and at the same time, the air fluidity inside the carriage is not monitored in real time, resulting in the inability to avoid the impact on the quality stability of the items caused by the vibration of the transport vehicle and the poor air fluidity inside the carriage during the item transportation process. Summary of the Invention

[0005] For this reason, the present invention provides a factory remote monitoring system based on Internet of Things data collection to overcome the problems in the prior art that the vehicle speed is not accurately regulated based on the vibration level during the driving of the transport vehicle, and at the same time, the air fluidity inside the carriage is not monitored in real time, resulting in the inability to avoid the impact on the quality stability of the items caused by the vibration of the transport vehicle and the poor air fluidity inside the carriage during the item transportation process.

[0006] To achieve the above object, the present invention provides a factory remote monitoring system based on Internet of Things data collection, which is characterized in that it includes:

[0007] A detection module, which includes a plurality of acceleration sensors for detecting the vibration of the item storage box, a plurality of temperature and humidity sensors for detecting the temperature and humidity inside the carriage, and a laser scanner for obtaining a 3D image of any area inside the carriage;

[0008] The air supply module includes a main air outlet and several side air outlets. The air outlets are used to discharge cold air. The side air outlets include a first air outlet, a second air outlet, a third air outlet, and a fourth air outlet. The main air outlet is arranged at the top of the carriage, and the first air outlet, the second air outlet, the third air outlet, and the fourth air outlet are respectively arranged on both sides of the carriage.

[0009] The central control module is respectively connected to the detection module and the air supply module, and is used to convert the data measured by the acceleration sensor into a vibration curve to calculate the root mean square value of acceleration. The central control module determines the root mean square value level of the root mean square value of acceleration according to the preset safe root mean square value of acceleration, and adjusts the vehicle speed at the second root mean square value level.

[0010] The central control module divides the carriage into several intervals, and establishes a corresponding relationship between the intervals and the air outlets. For any interval, the central control module calculates the temperature standard deviation and relative humidity standard deviation of the interval according to the monitoring data of several temperature and humidity monitoring points in the interval, and calculates the air fluidity characteristic value of the interval according to the temperature standard deviation and relative humidity standard deviation. The central control module determines the characteristic value level of the air fluidity characteristic value, and adjusts the blowing residence time of the side air outlet corresponding to the interval in the interval according to the calculated flow space ratio of the interval at the second characteristic value level. If the calculated air fluidity characteristic value still does not meet the standard after a preset time, the central control module adjusts the air supply volume of the main air outlet.

[0011] Further, several of the acceleration sensors are arranged on the top surface of the item storage box located on the top layer. The central control module performs weighted average fusion on the data measured by the several acceleration sensors to generate a vibration curve during vehicle driving. The central control module collects several sampling points on the vibration curve, and calculates the root mean square value of acceleration R of the vibration curve according to the collected sample point values. Set where ai is the acceleration of the i-th sampling point on the vibration curve, and N is the number of samplings;

[0012] If the root mean square value of acceleration R is at the second root mean square value level, the central control module determines that the vehicle speed needs to be adjusted.

[0013] The second root mean square value level satisfies that the root mean square value of acceleration R is greater than the preset safe root mean square value of acceleration.

[0014] Further, at the second root mean square value level, the central control module calculates the difference between the root mean square value of acceleration R and the safe root mean square value of acceleration, and the central control module determines the adjustment of the vehicle speed according to this difference.

[0015] Further, the central control module establishes a coordinate system with the bottom surface of the carriage as the reference plane and the geometric center of the bottom surface of the carriage as the coordinate origin, divides the carriage into a first interval, a second interval, a third interval, and a fourth interval, and the central control module is provided with the corresponding relationships between each interval and the main air outlet and the side air outlets. Among them, each interval corresponds to the main air outlet, the first interval and the second interval both correspond to the first air outlet and the second air outlet, the third interval and the fourth interval both correspond to the third air outlet and the fourth air outlet, and a number of temperature and humidity monitoring points are set in any interval.

[0016] Further, the central control module calculates the average temperature T0 and the average relative humidity F0 of the interval according to the monitoring data of a number of temperature and humidity monitoring points in any interval, and sets:

[0017]

[0018] The central control module calculates the temperature standard deviation Dt and the relative humidity standard deviation Df of the interval according to the average temperature T0 and the average relative humidity F0, and sets:

[0019]

[0020] Where n is the number of temperature and humidity monitoring points in the interval, Ti is the temperature of the i-th temperature and humidity monitoring point, and Fi is the relative humidity of the i-th temperature and humidity monitoring point.

[0021] Further, the central control module calculates the air fluidity characteristic value H of the interval according to the temperature standard deviation Dt and the relative humidity standard deviation Df, and sets

[0022] If the air fluidity characteristic value H is at the second characteristic value level, the central control module determines that the air fluidity in the interval does not meet the standard, and it is necessary to adjust the blowing residence time of the side air outlet corresponding to the interval in the interval;

[0023] The second characteristic value level satisfies that the air fluidity characteristic value H is greater than the preset standard characteristic value H0.

[0024] Further, at the second characteristic value level, the laser scanner acquires the 3D image of the interval, and the central control module acquires the volume V and the surface area Sn of the item storage box in the interval according to the 3D image to calculate the flow space ratio γ, and sets Where S is the area of the interval and H2 is the height of the carriage.

[0025] Further, the central control module adjusts the blowing residence time of the side air outlet corresponding to the interval in the interval, and adjusts the blowing residence time of the corresponding side air outlet in the interval to t, and sets where t0 is the standard blowing residence time of the corresponding side air outlet in the interval.

[0026] Further, after the central control module adjusts the blowing residence time of the corresponding side air outlet in the interval, when the preset time Tn has passed, it calculates the air fluidity characteristic value H1 of the interval again. If H1 still does not meet the standard, the central control module adjusts the air volume of the main air outlet to G, where G0 is the current air volume of the main air outlet.

[0027] Further, several of the acceleration sensors and temperature and humidity sensors adopt Internet of Things technology to send the detected data to the central control module.

[0028] Compared with the prior art, the present invention, by setting a central control module and a detection module, the central control module adjusts the vehicle speed, the blowing residence time of the side air outlet, and the air volume of the main air outlet according to the data detected by the detection module. By adjusting the vehicle speed, the influence of excessive vibration generated by the vehicle due to too high a vehicle speed during transportation on vibration-sensitive items is reduced. By adjusting the blowing residence time of the side air outlet and the air volume of the main air outlet, the air circulation and temperature stability in the carriage during the transportation of sensitive items are effectively ensured, thereby avoiding the influence on the quality stability of the items.

[0029] Further, during the driving of the transport vehicle, the item storage boxes located at the top layer in the carriage will amplify the vibration stress from the carriage due to their high positions. By installing several acceleration sensors on the top surface of the item storage boxes located at the top layer, the data detected by the acceleration sensors can more accurately reflect the severity of the vibration, ensuring the accuracy and representativeness of the generated vibration curve. By calculating the root mean square value of acceleration, the current vibration level of the transport vehicle can be clearly reflected, and the current vehicle speed can be adjusted, effectively avoiding the problem of reduced quality stability of vibration-sensitive items due to vibration during transportation. And effectively reducing vibration can also reduce the friction between item storage boxes, improving the quality of item transportation, thereby avoiding the influence on the quality stability of the items.

[0030] Further, the central control module of the present invention divides the carriage into several intervals and establishes the corresponding relationship between the intervals and the air outlets, which can detect the item transportation environment more accurately and specifically, improve the quality of item transportation, and further avoid the influence on the quality stability of the items.

[0031] Further, the central control module of the present invention calculates the air flow characteristic value according to the temperature standard deviation and the relative humidity standard deviation. The higher the air flow characteristic value, the worse the air flow in the interval; the lower the air flow characteristic value, the better the air flow in the interval. The present invention combines temperature and humidity to evaluate air flow, and the air flow characteristic value can clearly and accurately reflect the air flow level in the interval.

[0032] Further, the central control module of the present invention compares the air flow characteristic value with the standard characteristic value to determine whether the air circulation in the interval meets the standard. When it does not meet the standard, the central control module calculates the proportion of the flow space in the interval according to the volume and surface area of the item storage box in the interval obtained by the laser scanner. The larger the proportion of the flow space, the smaller the effect of the cold air sent out by the corresponding air supply outlet on the item storage box in the interval, and the larger the surface area, the greater the effect of the cold air sent out by the corresponding air supply outlet on the item storage box in the interval. The central control module combines various factors such as the proportion of the flow space, the surface area of the item storage box, and air circulation by establishing a formula for adjusting the blowing residence time, and calculates the adjusted blowing residence time of the air outlet in the interval. By adjusting the blowing residence time of the air outlet, the air circulation in the interval can be effectively improved, the quality of item transportation can be effectively improved, and the influence on the quality stability of items can be further avoided.

[0033] Further, after the central control module of the present invention adjusts the blowing residence time of the side air outlet corresponding to the interval in the interval, it calculates the air flow characteristic value of the interval again after a preset time. If the air flow characteristic value still does not meet the standard, the central control module adjusts the air supply volume of the main air outlet, which can further ensure air flow, thereby effectively improving the quality of item transportation and further avoiding the influence on the quality stability of items. Description of the Drawings

[0034] Figure 1 It is a schematic structural diagram of a factory remote monitoring system based on Internet of Things data collection according to an embodiment of the invention;

[0035] Figure 2 It is a top view of the side air outlet and the interval according to an embodiment of the invention;

[0036] In the figure: 1. First air outlet; 2. Second air outlet; 3. Third air outlet; 4. Fourth air outlet; 5. First interval; 6. Second interval; 7. Third interval; 8. Fourth interval. Detailed Embodiments

[0037] In order to make the purpose and advantages of the present invention clearer, the present invention will be 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.

[0038] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and do not limit the protection scope of the present invention.

[0039] It should be noted that in the description of the present invention, the terms indicating the direction or positional relationship such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the direction or positional relationship shown in the drawings. This is only for 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 construed as a limitation of the present invention.

[0040] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and defined, the terms "installation", "connection", "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 communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] Please refer to Figure 1 and Figure 2 as shown in Figure 1 which is a schematic diagram of the structure of the factory remote monitoring system based on Internet of Things data collection for this embodiment. Figure 2 which is a side air outlet and sectional top view of this embodiment. A factory remote monitoring system based on Internet of Things data collection of the present invention includes:

[0042] A detection module, which includes a number of acceleration sensors for detecting the vibration of the item storage box, a number of temperature and humidity sensors for detecting the temperature and humidity inside the carriage, and a laser scanner for obtaining a 3D image of any section inside the carriage;

[0043] An air supply module, which includes a main air outlet and a number of side air outlets. The air outlets are used for discharging cold air. The side air outlets include a first air outlet, a second air outlet, a third air outlet, and a fourth air outlet. The main air outlet is arranged at the top of the carriage, and the first air outlet, the second air outlet, the third air outlet, and the fourth air outlet are respectively arranged on both sides of the carriage;

[0044] In most current transport vehicles, the main air outlet is located at the top of the carriage, and a layer of PVC film is covered on the top of the carriage. The PVC film has a number of openings for guiding the cold air conveyed by the main air outlet to all corners of the carriage. The side air outlets are larger than the height of the item storage box to avoid air supply obstruction.

[0045] The central control module, which is respectively connected to the detection module and the air supply module, is used to convert the data measured by the acceleration sensor into a vibration curve to calculate the root mean square value of acceleration. The central control module determines the root mean square value level of the root mean square value of acceleration according to a preset safe root mean square value of acceleration, and adjusts the vehicle speed at the second root mean square value level;

[0046] The central control module divides the carriage into several intervals and establishes a corresponding relationship between the intervals and the air outlets. For any interval, the central control module calculates the temperature standard deviation and relative humidity standard deviation of the interval according to the monitoring data of several temperature and humidity monitoring points in the interval, and calculates the air fluidity characteristic value of the interval according to the temperature standard deviation and relative humidity standard deviation. The central control module determines the characteristic value level of the air fluidity characteristic value, and adjusts the blowing residence time of the side air outlet corresponding to the interval in the interval according to the calculated flow space ratio of the interval at the second characteristic value level. If the calculated air fluidity characteristic value still does not meet the standard after a preset time, the central control module adjusts the air supply volume of the main air outlet.

[0047] Specifically, several of the acceleration sensors are arranged on the top surface of the item storage box located on the top layer. The central control module performs weighted average fusion on the data measured by the several acceleration sensors to generate a vibration curve during vehicle driving. The central control module collects several sampling points on the vibration curve, calculates the root mean square value R of acceleration of the vibration curve according to the collected sample point values, and compares R with a preset safe root mean square value R0 of acceleration to determine whether it is necessary to adjust the current vehicle speed;

[0048] If it is at the first root mean square value level, the central control module determines that there is no need to adjust the vehicle speed;

[0049] If it is at the second root mean square value level, the central control module determines that it is necessary to adjust the vehicle speed;

[0050] The first root mean square value level satisfies R ≤ R0, and the second root mean square value level satisfies R > R0;

[0051] The root mean square value R of acceleration is calculated according to the following formula. Let where ai is the acceleration of the i-th sampling point on the vibration curve, and N is the number of samplings.

[0052] The weighted average fusion of the acceleration sensor data in this embodiment is a prior art and will not be elaborated here.

[0053] Specifically, at the second root mean square value level, the central control module calculates the difference ΔR between the root mean square value R of acceleration and the root mean square value R0 of safe acceleration, and sets ΔR = R - R0. The central control module compares ΔR with the first preset difference ΔR1 and the second preset difference ΔR2 respectively to determine the adjustment method for the vehicle speed v0;

[0054] If it is the first difference level, the central control module adjusts the vehicle speed v0 to the first vehicle speed v1 and sets

[0055] If it is the second difference level, the central control module adjusts the vehicle speed v0 to the second vehicle speed v2 and sets

[0056] If it is the third difference level, the central control module adjusts the vehicle speed v0 to the third vehicle speed v3 and sets v3 =

[0057]

[0058] The first difference level satisfies ΔR < ΔR1, the second difference level satisfies ΔR1 ≤ ΔR ≤ ΔR2, and the third difference level satisfies ΔR > ΔR2.

[0059] In this embodiment, the central control module obtains the item in the transported items that is most affected by vibration, obtains its safe vibration threshold Y, and converts it into the safe root mean square value R0 through a conversion coefficient;

[0060] During the driving of the transport vehicle, the item storage box at the top layer in the carriage will amplify the vibration stress from the carriage due to its high position. By installing a number of acceleration sensors on the top surface of the item storage box at the top layer, the data detected by the acceleration sensors can more accurately reflect the severity of the vibration, ensuring the accuracy and representativeness of the generated vibration curve. By calculating the root mean square value of acceleration, the current vibration level of the transport vehicle can be clearly reflected, and the current vehicle speed can be adjusted, effectively avoiding the problem of reduced quality stability of vibration-sensitive items during transportation due to vibration. Moreover, effectively reducing vibration can also reduce the friction between item storage boxes and improve the quality of item transportation, thus avoiding the impact on the quality stability of items.

[0061] Specifically, the central control module takes the bottom surface of the carriage as the reference plane, takes the geometric center of the bottom surface of the carriage as the coordinate origin to establish a coordinate system, divides the carriage into a first interval, a second interval, a third interval, and a fourth interval. The central control module is provided with the corresponding relationships between each interval and the main air outlet and the side air outlets. Among them, each interval corresponds to the main air outlet, the first interval and the second interval both correspond to the first air outlet and the second air outlet, the third interval and the fourth interval both correspond to the third air outlet and the fourth air outlet, and a number of temperature and humidity monitoring points are set in any interval.

[0062] The central control module divides the carriage into several intervals and establishes the corresponding relationships between the intervals and the air outlets, which can detect the item transportation environment more accurately and pertinently, improve the item transportation quality, and further avoid the influence on the quality stability of the items.

[0063] Specifically, the central control module calculates the average temperature T0 and the average relative humidity F0 of the interval according to the monitoring data of a number of temperature and humidity monitoring points in any interval, and sets:

[0064]

[0065] The central control module calculates the temperature standard deviation Dt and the relative humidity standard deviation Df of the interval according to the average temperature T0 and the average relative humidity F0, and sets:

[0066]

[0067] Where n is the number of temperature and humidity monitoring points in the interval, Ti is the temperature of the i-th temperature and humidity monitoring point, and Fi is the relative humidity of the i-th temperature and humidity monitoring point.

[0068] In this embodiment, a number of monitoring points are arranged on the surfaces of the shelves and the insulation boxes.

[0069] Specifically, the central control module calculates the air fluidity characteristic value H of the interval according to the temperature standard deviation Dt and the relative humidity standard deviation Df, and sets

[0070] The central control module compares the air fluidity characteristic value H with the standard characteristic value H0 to determine whether the air fluidity in the interval meets the standard;

[0071] If it is the first characteristic value level, the central control module determines that the air fluidity in the interval meets the standard;

[0072] If it is the second characteristic value level, the central control module determines that the air fluidity in the interval does not meet the standard, and it is necessary to adjust the blowing residence time of the side air outlet corresponding to the interval in the interval;

[0073] The first eigenvalue level satisfies H≤H0, and the second eigenvalue level satisfies H>H0.

[0074] Specifically, at the second eigenvalue level, the laser scanner acquires the 3D image of the interval. The central control module calculates the volume V and surface area Sn of the item storage box in the interval based on the 3D image to calculate the proportion γ of the flow space, and sets where S is the area of the interval and H2 is the height of the carriage.

[0075] Specifically, the central control module adjusts the blowing residence time of the corresponding side air outlet in the interval, and adjusts the blowing residence time of the corresponding side air outlet in the interval to t, and sets where t0 is the standard blowing residence time of the corresponding side air outlet in the interval.

[0076] The central control module compares the air flow eigenvalue with the standard eigenvalue to determine whether the air circulation in the interval meets the standard. When it does not meet the standard, the central control module calculates the proportion of the flow space in the interval based on the volume and surface area of the item storage box obtained by the laser scanner. The larger the proportion of the flow space, the smaller the effect of the cold air sent out by the corresponding air outlet on the item storage box in the interval, and the larger the surface area, the greater the effect of the cold air sent out by the corresponding air outlet on the item storage box in the interval. The central control module combines various factors such as the proportion of the flow space, the surface area of the item storage box, and the air circulation to calculate the adjusted blowing residence time of the air outlet in the interval. By adjusting the blowing residence time of the air outlet, the air circulation in the interval can be effectively improved, the quality of item transportation can be effectively improved, and the influence on the quality stability of items can be further avoided.

[0077] Specifically, after the central control module adjusts the blowing residence time of the corresponding side air outlet in the interval, it calculates the air fluidity eigenvalue H1 of the interval again after a preset time Tn. If H1 still does not meet the standard, the central control module adjusts the air volume of the main air outlet to G, and sets where G0 is the current air volume of the main air outlet. The central control module adjusts the air volume of the main air outlet, which can further ensure air fluidity, thereby effectively improving the quality of item transportation and further avoiding the influence on the quality stability of items.

[0078] Specifically, a number of the acceleration sensors and temperature and humidity sensors adopt Internet of Things technology to send the detected data to the central control module.

[0079] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art 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 all fall within the protection scope of the present invention.

Claims

1. A factory remote monitoring system based on Internet of Things data collection, characterized in that, Including: A detection module, which includes several acceleration sensors for detecting the vibration of the article storage box, several temperature and humidity sensors for detecting the temperature and humidity in the carriage, and a laser scanner for obtaining 3D images of any interval in the carriage; An air supply module, which includes a main air outlet and several side air outlets. The air outlets are used to discharge cold air. The side air outlets include a first air outlet, a second air outlet, a third air outlet, and a fourth air outlet. The main air outlet is arranged at the top of the carriage, and the first air outlet, the second air outlet, the third air outlet, and the fourth air outlet are respectively arranged on both sides of the carriage; A central control module, which is respectively connected to the detection module and the air supply module, and is used to convert the data measured by the acceleration sensor into a vibration curve to calculate the root mean square value of acceleration. The central control module determines the root mean square value level of the root mean square value of acceleration according to the preset safety root mean square value of acceleration, and adjusts the vehicle speed at the second root mean square value level; The central control module divides the carriage into several zones, and establishes the corresponding relationship between the zones and the air outlets. For any zone, the central control module calculates the temperature standard deviation and relative humidity standard deviation of the zone based on the monitoring data of several temperature and humidity monitoring points in the zone, and calculates the air fluidity characteristic value of the zone according to the temperature standard deviation and relative humidity standard deviation. The central control module determines the characteristic value level of the air fluidity characteristic value, and calculates the flow space occupancy ratio based on the 3D image of the zone at the second characteristic value level to adjust the blowing residence time of the side air outlet corresponding to the zone in the zone, and adjusts the blowing residence time of the corresponding side air outlet in the zone to t, where t0 is the standard blowing residence time of the corresponding side air outlet in the zone, γ is the flow space occupancy ratio, S is the area of the zone, H is the air fluidity characteristic value, H0 is the standard characteristic value, Sn is the surface area of the item storage box in the zone. If the air fluidity characteristic value H1 calculated after the preset time still does not meet the standard, the central control module adjusts the air supply volume of the main air outlet, and adjusts the air supply volume of the main air outlet to G, where G0 is the current air volume of the main air outlet.

2. The factory remote monitoring system based on Internet of Things data acquisition according to claim 1, characterized in that, A plurality of the acceleration sensors are arranged on the top surface of the article storage box located on the top layer. The central control module performs weighted average fusion on the data measured by the plurality of acceleration sensors to generate a vibration curve during vehicle driving. The central control module collects a plurality of sampling points on the vibration curve, calculates the root mean square value R of the acceleration of the vibration curve according to the collected sample point values, and sets where ai is the acceleration of the i-th sampling point on the vibration curve, and N is the number of samplings; If the root mean square value R of the acceleration is at the second root mean square value level, the central control module determines that the vehicle speed needs to be adjusted; The second root mean square value level satisfies that the root mean square value R of the acceleration is greater than the preset safety root mean square value of acceleration.

3. The factory remote monitoring system based on Internet of Things data collection according to claim 2, characterized in that, At the second root mean square value level, the central control module calculates the difference between the root mean square value R of the acceleration and the safety root mean square value of acceleration, and the central control module determines the adjustment method of the vehicle speed according to this difference.

4. The factory remote monitoring system based on Internet of Things data collection according to claim 3, characterized in that, The central control module takes the bottom surface of the carriage as the reference plane and the geometric center of the bottom surface of the carriage as the coordinate origin to establish a coordinate system, and divides the carriage into a first interval, a second interval, a third interval, and a fourth interval. The central control module sets the corresponding relationship between each interval and the main air outlet and the side air outlets. Among them, each interval corresponds to the main air outlet, the first interval and the second interval both correspond to the first air outlet and the second air outlet, the third interval and the fourth interval both correspond to the third air outlet and the fourth air outlet, and several temperature and humidity monitoring points are set in any interval.

5. The factory remote monitoring system based on Internet of Things data acquisition according to claim 4, characterized in that The central control module calculates the average temperature T0 and the average relative humidity F0 of the interval according to the monitoring data of several temperature and humidity monitoring points in any interval, and sets: The central control module calculates the temperature standard deviation Dt and the relative humidity standard deviation Df of the interval according to the average temperature T0 and the average relative humidity F0 of the interval, and sets: Where n is the number of temperature and humidity monitoring points in the interval, Ti is the temperature of the i-th temperature and humidity monitoring point, and Fi is the relative humidity of the i-th temperature and humidity monitoring point.

6. The factory remote monitoring system based on Internet of Things data collection according to claim 5, characterized in that The central control module calculates the air mobility characteristic value H of the interval according to the temperature standard deviation Dt and the relative humidity standard deviation Df, and sets If the air fluidity characteristic value H is at the second characteristic value level, the central control module determines that the air fluidity in the interval does not meet the standard and needs to adjust the blowing residence time of the side air outlet corresponding to the interval in the interval; The second characteristic value level satisfies that the air fluidity characteristic value H is greater than the preset standard characteristic value H0.

7. The factory remote monitoring system based on Internet of Things data collection according to claim 6, characterized in that, At the second eigenvalue level, the laser scanner acquires a 3D image of the area, and the central control module calculates the volume V and surface area Sn of the item storage box in the area based on the 3D image to calculate the proportion γ of the flow space, and sets where S is the area of the area and H2 is the height of the carriage.

8. The factory remote monitoring system based on Internet of Things data acquisition according to claim 1, wherein Several of the acceleration sensors and temperature and humidity sensors adopt Internet of Things technology to send the detected data to the central control module.

Images