Internet of Things intelligent wireless temperature sensor system and management method thereof

Abstract

The invention discloses an Internet of Things intelligent wireless temperature sensor system and a management method thereof. The system comprises a cloud server, an Internet of Things gateway and a plurality of groups of temperature sensing devices. The plurality of groups of temperature sensing devices are arranged at different temperature measuring positions, and each group of temperature sensing device comprises a shell, and a power supply module, a micro-control module, a temperature sensor module and a wireless module which are arranged in the shell; the power supply module is used for supplying power to the temperature sensing equipment; the micro-control module is electrically connected with the power supply module, the temperature sensor module and the wireless module and is used for realizing intelligent control of the temperature sensing equipment; the temperature sensor module is used for collecting current temperature data; the wireless module is used for being wirelessly connected with a gateway of the Internet of Things, and is further wirelessly connected with a cloud server through the gateway of the Internet of Things.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature sensors, and in particular to an Internet of Things intelligent wireless temperature sensor system and a management method thereof. Background Art

[0002] Traditional temperature sensors mostly use wired connections, which are not only complicated to install, but also difficult to adapt to complex usage environments. With the rapid development of Internet of Things technology, various types of intelligent sensors have been widely used in automatic control and monitoring systems. In recent years, the introduction of wireless sensor network technology has enabled temperature monitoring systems to complete remote transmission of temperature data without wiring. However, the existing Internet of Things temperature sensor system still has certain deficiencies in terms of wireless communication stability, energy efficiency, sensor accuracy, etc., and needs to be further improved.

[0003] Therefore, developing an efficient, stable, and low-power IoT intelligent wireless temperature sensor system and further improving its performance by studying its management methods has become an urgent need for the development of the industry. Summary of the invention

[0004] In order to solve the problems raised in the above background technology, the technical solution adopted by the present invention is:

[0005] An IoT intelligent wireless temperature sensor system includes a cloud server, an IoT gateway and multiple sets of temperature sensing devices;

[0006] A plurality of groups of temperature sensing devices are arranged at different temperature measuring positions, and each group of temperature sensing devices comprises a housing and a power module, a microcontroller module, a temperature sensor module and a wireless module installed in the housing;

[0007] The power module is used to supply power to the temperature sensing device;

[0008] The microcontroller module is electrically connected to the power module, the temperature sensor module and the wireless module respectively, so as to realize the intelligent control of the temperature sensing device;

[0009] The temperature sensor module is used to collect current temperature data;

[0010] The wireless module is used to wirelessly connect to the Internet of Things gateway, and then wirelessly connect to the cloud server through the Internet of Things gateway.

[0011] In some embodiments, the power module uses a 2000mAh, 3.6V lithium battery and is configured with a power management circuit;

[0012] The power management circuit adopts the SPV1050 chip, which is used to output an adaptive voltage for each power consumption module.

[0013] In some embodiments, the microcontroller module uses an MCU of model Stm32U585QIT.

[0014] In some embodiments, the temperature sensor module uses a temperature sensor model LM35CZ.

[0015] In some embodiments, the wireless module adopts a wireless LORA module with model number E280-2G4T12S and is configured with an antenna extending outside the housing, and the Internet of Things gateway is a LORA Internet of Things gateway.

[0016] Another aspect of the present invention provides a management method for an Internet of Things intelligent wireless temperature sensor system, which adopts the above-mentioned Internet of Things intelligent wireless temperature sensor system and includes the following steps:

[0017] S1. Multiple groups of temperature sensing devices collect temperature data from different areas respectively, and upload the collected temperature data to the cloud server wirelessly through the IoT gateway;

[0018] S2, in the cloud server, processing and analyzing the collected temperature data to automatically generate control instructions;

[0019] S3. The control instructions are wirelessly transmitted to the corresponding devices through the IoT gateway.

[0020] Furthermore, in step S1, for any group of temperature sensing devices, initially according to the preset temperature collection frequency, the microcontroller module is automatically awakened after a period of time, the temperature sensor module is controlled to be powered on and collect the current temperature data, and then the temperature sensor module 2 is powered off, the wireless module is powered on and the temperature data is wirelessly uploaded to the cloud server through the Internet of Things gateway, and then the temperature sensing device enters the standby state and waits for the next temperature collection.

[0021] Further, in step S2, the temperature change rate is calculated based on the collected temperature data, and then a control instruction for the temperature sensing device is generated;

[0022] In step S3, the control instruction is transmitted to the corresponding temperature sensing device to adjust its temperature acquisition frequency, and the higher the temperature change rate, the higher the temperature acquisition frequency.

[0023] Furthermore, in step S2, when calculating the temperature change rate, the following steps are included:

[0024] S21, suppose there are n groups of temperature sensing devices, with T ij represents the temperature data collected by the temperature sensing device of the i-th group in the j-th round, t ij Indicates the time when the i-th group of temperature sensing devices performs the j-th round of collection, 1≤i≤n, j≥1;

[0025] S22. Calculate the temperature change rate of each group of temperature sensing devices corresponding to each round:

[0026]

[0027] y ij represents the temperature change rate corresponding to the jth round of the i-th group of temperature sensing devices;

[0028] S23, calculate the corrected temperature change rate by the following formula:

[0029]

[0030] Y ij represents the temperature change rate of the i-th group of temperature sensing devices after the j-th round correction, which is the temperature change rate y of the group of temperature sensing devices a round before the j-th round i(j-a) ,y i(j-a+1) , …, y i(j-1) After taking the average value, it is then compared with the temperature change rate y of the current jth round ij Take the average value to get;

[0031] S24, with the corrected temperature change rate Y ij Instead of the original temperature change rate y ij , and then Y ij Generate control instructions for the standard to adjust the temperature collection frequency of the corresponding i-th group of temperature sensing devices after the j-th round of collection.

[0032] Furthermore, in step S2, the collected temperature data is directly compared with the preset temperature threshold to determine whether there is a temperature abnormality. If so, a control instruction containing alarm information is generated. Then, in step S3, the control instruction containing the alarm information is sent to the corresponding smart terminal and / or production control center through the wireless Internet of Things to issue an abnormality warning.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] The Internet of Things intelligent wireless temperature sensor system provided by the present invention realizes wireless remote temperature monitoring, avoids the installation complexity of traditional wired methods, improves the accuracy and stability of temperature sensors, adapts to complex environmental changes, and extends the service life of sensor equipment and reduces operation and maintenance costs through low-power design. In combination with a special management method, the temperature acquisition frequency is intelligently adjusted, and the reliability of the temperature sensor system is further improved. While minimizing energy consumption, timely response to temperature changes is guaranteed, further improving detection reliability and safety of use. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1A schematic diagram of the Internet of Things intelligent wireless temperature sensor system provided by the present invention;

[0036] Figure 2 A schematic diagram of a management method for an Internet of Things intelligent wireless temperature sensor system provided by the present invention. DETAILED DESCRIPTION

[0037] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the following further describes how the present invention is implemented in conjunction with the accompanying drawings and specific implementation methods.

[0038] Reference Figure 1 As shown, the present invention provides an Internet of Things intelligent wireless temperature sensor system, including a cloud server 20, an Internet of Things gateway 30 and multiple groups of temperature sensing devices 10; the multiple groups of temperature sensing devices 10 are arranged at different temperature measurement positions, and each group of temperature sensing devices 10 includes a shell and a power module, a microcontroller module 1, a temperature sensor module 2 and a wireless module 3 installed in the shell; the power module is used to supply power to the temperature sensing device 10; the microcontroller module 1 is electrically connected to the power module, the temperature sensor module 2 and the wireless module 3 respectively, so as to realize intelligent control of the temperature sensing device 10; the temperature sensor module 2 is used to collect current temperature data; the wireless module 3 is used to wirelessly connect to the Internet of Things gateway 30, and then wirelessly connect to the cloud server 20 through the Internet of Things gateway 30.

[0039] In a specific embodiment, the power module may use a 2000mAh, 3.6V lithium battery 4 and be configured with a power management circuit 5; the power management circuit 5 may use an SPV1050 chip to output an adaptive voltage for each power consumption module, and has the characteristics of ultra-low power consumption and high conversion efficiency.

[0040] The microcontroller module 1 may use an MCU of the Stm32U585QIT type, which has the characteristics of ultra-low power consumption and is responsible for data acquisition and transmission control.

[0041] The temperature sensor module 2 may use a temperature sensor of model LM35CZ, which has the characteristics of low power consumption, fast response and high precision.

[0042] The wireless module 3 can adopt a wireless LORA module of model E280-2G4T12S, which has the characteristics of long-distance transmission and high transmission rate, and is responsible for data acquisition and transmission control; and is equipped with an antenna 6 extending outside the shell; the Internet of Things gateway 30 is correspondingly a LORA Internet of Things gateway.

[0043] In addition, the shell can be made of ABS material that is resistant to high temperature and aging. The entire circuit adopts an ultra-low power consumption design, and the current in the standby state is below 1uA.

[0044] Reference Figure 2 As shown, another aspect of the present invention provides a management method for an Internet of Things intelligent wireless temperature sensor system, which adopts the above-mentioned Internet of Things intelligent wireless temperature sensor system and includes the following steps:

[0045] S1, multiple groups of temperature sensing devices 10 respectively collect temperature data of different areas, and wirelessly upload the collected temperature data to the cloud server 20 through the Internet of Things gateway 30;

[0046] S2, in the cloud server 20, processing and analyzing the collected temperature data to automatically generate control instructions;

[0047] S3. The control instruction is wirelessly transmitted to the corresponding device through the Internet of Things gateway 30.

[0048] Furthermore, in step S1, for any group of temperature sensing devices 10, initially according to the preset temperature collection frequency, the microcontroller module 1 is automatically awakened after a period of time (such as 5 minutes), the temperature sensor module 2 is controlled to be powered on and collect the current temperature data, and then the temperature sensor module 2 is powered off, the wireless module 3 is powered on and the temperature data is wirelessly uploaded to the cloud server 20 through the Internet of Things gateway 30, and then the temperature sensing device 10 enters a standby state and waits for the next temperature collection.

[0049] Furthermore, in step S2, the temperature change rate is calculated based on the collected temperature data, and then a control instruction for the temperature sensing device 10 is generated; in step S3, the control instruction is transmitted to the corresponding temperature sensing device 10 to adjust its temperature collection frequency, so that the higher the temperature change rate, the higher the temperature collection frequency.

[0050] In step S2, when calculating the temperature change rate, the following steps are included:

[0051] S21, suppose there are n groups of temperature sensing devices 10, with T ij represents the temperature data collected by the temperature sensing device 10 of the i-th group in the j-th round, t ij represents the time when the i-th group of temperature sensing devices 10 performs the j-th round of collection, 1≤i≤n, j≥1;

[0052] S22, calculate the temperature change rate corresponding to each round of each group of temperature sensing devices 10:

[0053]

[0054] y ij represents the temperature change rate corresponding to the jth round of the i-th group of temperature sensing devices 10;

[0055] S23, calculate the corrected temperature change rate by the following formula:

[0056]

[0057] Y ij represents the temperature change rate of the i-th group of temperature sensing devices 10 after the j-th round correction, which is the temperature change rate y of the group of temperature sensing devices 10 a round before the j-th round i(j-a) ,y i(j-a+1) , …, y i(j-1) After taking the average value, it is then compared with the temperature change rate y of the current jth round ij Take the average value to get;

[0058] S24, with the corrected temperature change rate Y ij Instead of the original temperature change rate y ij , and then Y ij A control instruction is generated for the standard to adjust the temperature collection frequency of the corresponding i-th group of temperature sensing devices 10 after the j-th round of collection.

[0059] For example, in step S23, a=9 can be taken, that is, the temperature change rate of the previous 9 rounds and the current round, a total of 10 rounds, is comprehensively considered to calculate the corrected temperature change rate, avoiding the problem of large errors caused by the temperature change rate calculated by only considering the results of two acquisitions, and further improving the working stability of the wireless temperature sensor system. In this embodiment, temperature data is collected every 5 minutes in the initial state. As the temperature change rate increases, the collection period can be shortened to, for example, once every 30 seconds.

[0060] In addition, in step S2, the collected temperature data is directly compared with the preset temperature threshold to determine whether there is a temperature abnormality. If so, a control instruction containing alarm information is generated. Then, in step S3, the control instruction containing the alarm information is sent to the corresponding smart terminal and / or production control center through the wireless Internet of Things to issue an abnormality warning.

[0061] Different warning methods can also be determined according to the degree of deviation between the temperature data and the preset temperature threshold. For example, when the degree of deviation between the temperature data and the preset temperature threshold reaches the first threshold but does not reach the second threshold, only a warning is issued to prompt the staff to conduct troubleshooting; and when the degree of deviation between the temperature data and the preset temperature threshold reaches the second threshold, not only a warning is issued, but also compulsory measures are automatically taken, such as forcibly cutting off the power supply to the corresponding electrical equipment.

[0062] In summary, the Internet of Things intelligent wireless temperature sensor system provided by the present invention realizes wireless remote temperature monitoring, avoids the installation complexity of traditional wired methods, improves the accuracy and stability of temperature sensors, adapts to complex environmental changes, and extends the service life of sensor equipment through low-power design, reducing operation and maintenance costs; combined with special management methods, the temperature acquisition frequency is intelligently adjusted, and the reliability of the temperature sensor system is further improved. While minimizing energy consumption, timely response to temperature changes is guaranteed, further improving detection reliability and safety of use.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. An Internet of Things intelligent wireless temperature sensor system, characterized in that: It includes a cloud server (20), an Internet of Things gateway (30) and a plurality of sets of temperature sensing devices (10); A plurality of groups of temperature sensing devices (10) are arranged at different temperature measurement positions, and each group of temperature sensing devices (10) comprises a housing and a power module, a microcontroller module (1), a temperature sensor module (2) and a wireless module (3) installed in the housing; The power module is used to supply power to the temperature sensing device (10); The microcontrol module (1) is electrically connected to the power module, the temperature sensor module (2) and the wireless module (3) respectively, and is used to realize intelligent control of the temperature sensing device (10); The temperature sensor module (2) is used to collect current temperature data; The wireless module (3) is used to wirelessly connect to an Internet of Things gateway (30), and further to wirelessly connect to a cloud server (20) via the Internet of Things gateway (30).

2. The IoT intelligent wireless temperature sensor system according to claim 1, characterized in that: The power module uses a 2000mAh, 3.6V lithium battery (4) and is equipped with a power management circuit (5); The power management circuit (5) adopts an SPV1050 chip and is used to output an adaptive voltage for each power consumption module.

3. The IoT intelligent wireless temperature sensor system according to claim 1, characterized in that: The microcontroller module (1) adopts an MCU of model Stm32U585QIT.

4. The IoT intelligent wireless temperature sensor system according to claim 1, characterized in that: The temperature sensor module (2) uses a temperature sensor of model LM35CZ.

5. The IoT intelligent wireless temperature sensor system according to claim 1, characterized in that: The wireless module (3) adopts a wireless LORA module of model E280-2G4T12S and is provided with an antenna (6) extending outside the housing; the Internet of Things gateway (30) is a LORA Internet of Things gateway.

6. A management method for an Internet of Things intelligent wireless temperature sensor system, characterized in that: The IoT intelligent wireless temperature sensor system according to any one of claims 1 to 5 is adopted, and comprises the following steps: S1, multiple groups of temperature sensing devices (10) respectively collect temperature data of different areas, and wirelessly upload the collected temperature data to a cloud server (20) via an Internet of Things gateway (30); S2, in the cloud server (20), processing and analyzing the collected temperature data to automatically generate control instructions; S3. The control instruction is wirelessly transmitted to the corresponding device via the Internet of Things gateway (30).

7. The management method of the Internet of Things intelligent wireless temperature sensor system according to claim 6 is characterized in that: In step S1, for any group of temperature sensing devices (10), initially according to a preset temperature acquisition frequency, the microcontroller module (1) is automatically awakened after a certain period of time, and the temperature sensor module (2) is controlled to be powered on and acquire current temperature data. Then, the temperature sensor module (2) is powered off, and the wireless module (3) is powered on and the temperature data is wirelessly uploaded to the cloud server (20) via the Internet of Things gateway (30). Then, the temperature sensing device (10) enters a standby state and waits for the next temperature acquisition.

8. The management method of the Internet of Things intelligent wireless temperature sensor system according to claim 7 is characterized in that: In step S2, the temperature change rate is calculated based on the collected temperature data, and a control instruction for the temperature sensing device (10) is generated; In step S3, a control instruction is transmitted to the corresponding temperature sensing device (10) to adjust its temperature acquisition frequency, so that the higher the temperature change rate, the higher the temperature acquisition frequency.

9. The management method of the Internet of Things intelligent wireless temperature sensor system according to claim 8, characterized in that: In step S2, when calculating the temperature change rate, the following steps are included: S21. Assume there are n groups of temperature sensing devices (10), and use T ij represents the temperature data collected by the i-th group of temperature sensing devices (10) in the j-th round, t ij represents the time when the i-th group of temperature sensing devices (10) performs the j-th round of collection, 1≤i≤n, j≥1; S22, calculating the temperature change rate corresponding to each round of each group of temperature sensing devices (10): y ij represents the temperature change rate corresponding to the jth round of the i-th group of temperature sensing devices (10); S23, calculate the corrected temperature change rate by the following formula: Y ij represents the temperature change rate of the i-th group of temperature sensing devices (10) after the j-th round correction, which is the temperature change rate y of the group of temperature sensing devices (10) a round before the j-th round i(j-a) ,y i(j-a+1) , …, y i(j-1) After taking the average value, it is then compared with the temperature change rate y of the current jth round ij Take the average value to get; S24, with the corrected temperature change rate Y ij Instead of the original temperature change rate y ij , and then Y ij A control instruction is generated for the standard to adjust the temperature collection frequency of the corresponding i-th group of temperature sensing devices (10) after the j-th round of collection.

10. The management method of the Internet of Things intelligent wireless temperature sensor system according to claim 6, characterized in that: In step S2, the collected temperature data is directly compared with the preset temperature threshold to determine whether there is a temperature abnormality. If so, a control instruction containing alarm information is generated. Then in step S3, the control instruction containing the alarm information is sent to the corresponding smart terminal and / or production control center through the wireless Internet of Things to issue an abnormality warning.

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