CN114183888A - Intelligent control system of 5G base station air conditioner based on narrowband Internet of things - Google Patents
Intelligent control system of 5G base station air conditioner based on narrowband Internet of things Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 238000005265 energy consumption Methods 0.000 claims abstract description 19
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- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
- 238000012423 maintenance Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000007791 dehumidification Methods 0.000 claims description 12
- 238000011217 control strategy Methods 0.000 claims description 11
- 238000004378 air conditioning Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 9
- 238000005057 refrigeration Methods 0.000 claims description 9
- 238000009423 ventilation Methods 0.000 claims description 6
- 230000006855 networking Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 6
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- 206010063385 Intellectualisation Diseases 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/54—Control or safety arrangements characterised by user interfaces or communication using one central controller connected to several sub-controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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Abstract
The invention discloses a narrow-band Internet of things-based 5G base station air conditioner intelligent control system applied to a base station air conditioner control panel. The system comprises an intelligent temperature control system and a remote monitoring system. The intelligent temperature control system realizes the functions of temperature and humidity acquisition, data processing with an intelligent algorithm as a core and local control; the remote monitoring system realizes the functions of cloud uploading of temperature and humidity data, monitoring and alarming of abnormal working conditions and remote control of the air conditioner on the basis of narrow-band Internet of things communication. The system provided by the invention has the characteristics of reasonable architecture, real-time remote monitoring operation and maintenance, more intelligent temperature control and more stable communication, and can effectively reduce the energy consumption of the 5G base station air conditioner.
Description
Technical Field
The invention relates to a narrowband Internet of things-based 5G base station air conditioner remote monitoring and intelligent temperature control technology, in particular to a narrowband Internet of things-based 5G base station air conditioner intelligent control system, and belongs to the technical field of air conditioner energy-saving design and Internet of things application.
Background
In recent years, with the rapid advance and development of 5G technology, mobile internet and other technologies, the number of mobile terminals has increased explosively year by year, and at the same time, the number of mobile base stations, the number of control devices in the base stations, and the like have been increased in multiples. Meanwhile, the power consumption of the 5G base station is about three times that of the 4G base station, so that the problems that the load of the base station is continuously increased and the power consumption is high are also generated. According to statistics, the energy consumption of the base station currently accounts for about 50% of the total energy consumption of the communication company all the year. The energy consumption of the base station air conditioner is especially prominent except for the main equipment.
Due to special working condition requirements, the air-conditioning equipment of the 5G base station is opened all the year round to maintain the normal working temperature in the base station, so that the normal operation of the main communication equipment is guaranteed. According to statistics, the energy consumption of the air conditioning equipment in the mobile communication base station accounts for about 46% of the total energy consumption, and the value is almost equal to that of the main communication equipment. Because the intellectualization level of the air conditioning systems of most base stations is not high, the air conditioner needs to be operated all year round or started or shut down frequently, so that the service life of the air conditioner is shortened, the energy consumption is greatly increased, and meanwhile, the fault risk of communication equipment is increased. With the establishment of a national target route of '3060', the problem of high energy consumption of the air conditioner of the 5G base station needs to be solved urgently.
With the development of technology, a narrowband internet of things (NB-IoT) supporting cellular data connection of low-power-consumption devices in a wide area network provides possibility for monitoring, operating and maintaining distributed and geographically biased 5G base station air conditioners so as to reduce energy consumption.
Disclosure of Invention
The interaction relation of the control strategy of the remote control system based on the narrow-band internet of things technology and the intelligent temperature control system for helping to reduce the energy consumption of the base station air conditioner is shown in figure 2, and the specific technical scheme is as follows:
A5G base station air conditioner intelligent control system based on narrowband thing networking includes the following steps:
step one, the intelligent temperature control system collects data through a temperature and humidity sensor, and a Microcontroller (MCU) carried by an air conditioner control panel automatically captures collected results and processes the collected results into identifiable digital quantity.
And secondly, the intelligent temperature control system performs corresponding judgment decision and control strategy implementation according to the acquired temperature and humidity digital quantity through an intelligent control algorithm, so that the air conditioner is controlled to automatically perform corresponding adjustment actions according to real-time temperature and humidity values, and temperature control in the 5G base station is realized more intelligently.
And thirdly, the remote monitoring system realizes communication between the remote client and the 5G base station air conditioner through a Narrow-Band Internet of Things (NB-IoT), uploads the current indoor temperature and humidity value and abnormal working condition information to the cloud server in real time, and sends an instruction sent by the cloud to the air conditioner microcontroller to realize remote monitoring and operation and maintenance.
Further, the specific content of the temperature and humidity sensor for data acquisition is as follows:
the temperature and humidity acquisition adopts an indoor sensor and an outdoor sensor, one sensor is arranged near a main communication equipment machine of an indoor 5G base station, the other sensor is arranged outdoors through a wiring, and the specific position is schematically shown in the attached figure 2.
Further, the intelligent temperature control system comprises the following specific contents:
the control framework of the intelligent temperature control system is as follows: the energy-saving automatic control is realized on the basis of ensuring the safe and stable operation of the equipment in the base station. The normal working modes of the air conditioner comprise a refrigeration mode, an air exhaust mode, a dehumidification mode and a standby mode. The control system carries out automatic mode selection after being processed by an intelligent algorithm according to the temperature and humidity values acquired by the temperature and humidity sensor, and if the indoor temperature and humidity are detected to be within a normal range, the air conditioner exits from the current mode and enters a standby mode until the next decisive temperature and humidity parameter is read and then is judged again and the mode is selected. Compared with the air conditioner which is started all the year round, the air conditioner can save a large amount of energy consumption and reduce emission.
The core control strategy of the intelligent algorithm consists of temperature and temperature difference double-parameter control and PID control, and generally, the normal temperature is between 5 and 35 ℃, and the relative humidity is less than 90 percent. If the range is exceeded, the equipment is abnormally operated and even fails. The method comprises the following specific steps:
the first step is as follows: firstly, selecting indoor temperature T as a first judgment factor, indoor humidity RH as a second judgment factor, introducing indoor and outdoor temperature difference Deltat as a third judgment factor, and finally carrying out comprehensive decision according to three control parameters with different priorities (T > RH >. Deltat), thereby controlling the air conditioner to work in a proper working mode. The specific decision strategy is as follows:
1) standby mode: when the indoor temperature T meets the working requirement, the air-conditioning ventilation system does not work;
2) air exhaust mode: when the indoor temperature T is more than 35 ℃, the outdoor temperature is lower, and the indoor temperature T is higher than the outdoor temperature delta T, the air exhaust function is started, temperature regulation is performed through ventilation, the air conditioner fan works at the moment, the compressor does not work, the temperature difference between the indoor temperature and the outdoor temperature is fully utilized to perform temperature regulation, and energy consumption is saved;
3) a refrigeration mode: when the indoor temperature T is more than 35 ℃, and the outdoor temperature is too high, the refrigeration mode is started again when the indoor temperature cannot be reduced by using the exhaust air, and the air-conditioning fan and the compressor work simultaneously;
4) a dehumidification mode: when the indoor humidity RH is greater than 90%, the dehumidification function of the air conditioner is started to enter a dehumidification mode, and the fan of the air conditioner compressor works at the same time. Here, considering that the temperature and humidity are two control parameters that may affect each other, the critical value of the indoor humidity RH is set to be high (the critical value of the relative humidity suitable for human body is 70%), because the priority of controlling the indoor temperature T is higher.
And secondly, on the basis of the decision of the first step, eliminating the static error by adopting a PID control strategy so as to solve the problem of larger hysteresis of the air conditioner control system and realize temperature control more accurately.
In the formula, u (n) is the output quantity of the controller, the output quantity is used as a parameter to indirectly act on the adjustment of the output power of the 5G air conditioner compressor and the fan, so that the temperature can be controlled more accurately, and part of energy consumption can be saved, and e (n) is an error signal, namely the temperature difference between the current real-time temperature and the set temperature. KpIs the proportional gain, KiIs the integral gain, KdIs a differential gain, the value of which can be adjusted to a suitable range by continuous adjustment according to operation experience and theoretical analysis.
The local control function is that the intelligent temperature control system finally drives the air conditioner to operate through the control relay.
Further, the specific content of the remote monitoring system for implementing remote monitoring and operation and maintenance is as follows:
compared with the 3G/4G, the narrowband Internet of things has the four advantages of low power consumption, strong link, wide coverage and low cost, because the 5G base station is frequently dispersed in position and remote in region, the Internet of things is realized by connecting the NB-IoT with the cloud server, the air conditioner operation and working condition in the 5G base station machine room are conveniently monitored, the base station is convenient to install and manage in remote areas, the popularization of the 5G base station is facilitated, and the narrowband Internet of things is safer and more labor-saving.
The remote control system can be automatically connected with the cloud server after being electrified and coordinates with the intelligent temperature control system, the remote control system can upload a data processing result to the cloud server every time when temperature and humidity data are collected, and therefore workers can monitor the running condition of the 5G base station air conditioner and the temperature and humidity value in the base station in real time outside thousands of miles.
The abnormal alarm function is that if the working state of the air conditioner is abnormal, the remote control system can respond quickly and send abnormal information to the cloud server, so that workers can find and repair the air conditioner in time, and unnecessary loss is reduced.
The remote control function is that the operating state, the working mode and the relevant control parameters of the air conditioner can be changed through the cloud console by a worker.
The invention has the beneficial effects that:
the invention provides a narrow-band Internet of things-based intelligent control system for a 5G base station air conditioner, which is an innovative reliable control method. According to the method, firstly, intelligent adjustment of the 5G base station air conditioner is achieved through an intelligent temperature control system by means of indoor temperature and indoor and outdoor temperature difference double-parameter decision and PID control, then the remote control system is connected with a cloud server by means of a narrow-band Internet of things communication technology, remote monitoring operation and maintenance of the 5G base station air conditioner are achieved, and the energy conservation and popularization of the 5G base station are promoted.
Drawings
Fig. 1 is a general flow chart of a 5G base station air conditioner intelligent control system based on a narrowband internet of things according to the invention;
FIG. 2 is a schematic diagram of the interaction between the intelligent temperature control system and the remote monitoring system according to the present invention;
FIG. 3 is a schematic view of the positioning layout of the control system in the 5G base chamber according to the present invention;
FIG. 4 is a schematic view of the experimental bench of step one in the present invention.
Detailed Description
The present invention will be further described with reference to the following specific examples, but the present invention is not limited to these examples.
Example 1: the utility model provides a 5G basic station air conditioner intelligence control system based on narrowband thing networking, adopts STM32F103ZET6 development board, DHT11 temperature and humidity sensor, moves away BC26 thing networking module and PC to constitute the experiment platform as shown in figure 4, adopts the Aliyun thing networking platform to be the remote monitoring client. The method specifically comprises the following steps:
step one, the intelligent temperature control system carries out data acquisition through a DHT11 temperature and humidity sensor, and a microcontroller STM32F103ZET6 carried by an air conditioner control board can automatically capture the acquired result and process the result into identifiable digital quantity.
And secondly, the intelligent temperature control system performs corresponding judgment decision and control strategy implementation according to the acquired temperature and humidity digital quantity through an intelligent control algorithm, so that the air conditioner is controlled to automatically perform corresponding adjustment actions according to real-time temperature and humidity values, and temperature control in the 5G base station is realized more intelligently.
And thirdly, the remote monitoring system realizes communication between the remote client and the 5G base station air conditioner through BC26(NB Internet of things module), uploads the current indoor temperature and humidity value and abnormal working condition information to an Aries cloud server in real time, and sends an instruction sent by the cloud to the air conditioner microcontroller through a PC (personal computer), so that remote monitoring and operation and maintenance are realized.
Further, the specific content of the temperature and humidity sensor for data acquisition is as follows:
the temperature and humidity acquisition adopts an indoor sensor and an outdoor sensor, one sensor is arranged near a main communication equipment machine of an indoor 5G base station, the other sensor is arranged outdoors through a wiring, and the specific position is schematically shown in the attached figure 2.
Further, the intelligent temperature control system comprises the following specific contents:
the control framework of the intelligent temperature control system is as follows: the energy-saving automatic control is realized on the basis of ensuring the safe and stable operation of the equipment in the base station. The normal working modes of the air conditioner comprise a refrigeration mode, an air exhaust mode, a dehumidification mode and a standby mode. The control system carries out automatic mode selection after being processed by an intelligent algorithm according to the temperature and humidity values acquired by the temperature and humidity sensor, and if the indoor temperature and humidity are detected to be within a normal range, the air conditioner exits from the current mode and enters a standby mode until the next decisive temperature and humidity parameter is read and then is judged again and the mode is selected. Compared with the air conditioner which is started all the year round, the air conditioner can save a large amount of energy consumption and reduce emission.
The core control strategy of the intelligent algorithm consists of temperature and temperature difference double-parameter control and PID control, and generally, the normal temperature is lower than 35 ℃, and the relative humidity is lower than 90%. If the range is exceeded, the equipment is abnormally operated and even fails. The method comprises the following specific steps:
the first step is as follows: firstly, selecting indoor temperature T as a first judgment factor, indoor humidity RH as a second judgment factor, introducing indoor and outdoor temperature difference Deltat as a third judgment factor, and finally carrying out comprehensive decision according to three control parameters with different priorities (T > RH >. Deltat), thereby controlling the air conditioner to work in a proper working mode. The specific decision strategy is as follows:
1) standby mode: when the indoor temperature T meets the working requirement, the air-conditioning ventilation system does not work;
2) air exhaust mode: when the indoor temperature T is more than 35 ℃, the outdoor temperature is lower, and the indoor temperature T is higher than the outdoor temperature delta T, the air exhaust function is started, temperature regulation is performed through ventilation, the air conditioner fan works at the moment, the compressor does not work, the temperature difference between the indoor temperature and the outdoor temperature is fully utilized to perform temperature regulation, and energy consumption is saved;
3) a refrigeration mode: when the indoor temperature T is more than 35 ℃, and the outdoor temperature is too high, the refrigeration mode is started again when the indoor temperature cannot be reduced by using the exhaust air, and the air-conditioning fan and the compressor work simultaneously;
4) a dehumidification mode: when the indoor humidity RH is greater than 90%, the dehumidification function of the air conditioner is started to enter a dehumidification mode, and the fan of the air conditioner compressor works at the same time. Here, considering that the temperature and humidity are two control parameters that may affect each other, the critical value of the indoor humidity RH is set to be high (the critical value of the relative humidity suitable for human body is 70%), because the priority of controlling the indoor temperature T is higher.
And secondly, on the basis of the decision of the first step, eliminating the static error by adopting a PID control strategy so as to solve the problem of larger hysteresis of the air conditioner control system and realize temperature control more accurately.
In the formula, u (n) is the output quantity of the controller, the output quantity is used as a parameter to indirectly act on the adjustment of the output power of the 5G air conditioner compressor and the fan, so that the temperature can be controlled more accurately, and part of energy consumption can be saved, and e (n) is an error signal, namely the temperature difference between the current real-time temperature and the set temperature. KpIs the proportional gain, KiIs the integral gain, KdIs a differential gain, the value of which can be adjusted to a suitable range by continuous adjustment according to operation experience and theoretical analysis.
The local control function is that the intelligent temperature control system finally drives the air conditioner to operate through the control relay.
Further, the specific content of the remote monitoring system for implementing remote monitoring and operation and maintenance is as follows:
compared with the 3G/4G, the narrowband Internet of things has the four advantages of low power consumption, strong link, wide coverage and low cost, because the 5G base station is frequently dispersed in position and remote in region, the Internet of things is realized by connecting the NB-IoT with the cloud server, the air conditioner operation and working condition in the 5G base station machine room are conveniently monitored, the base station is convenient to install and manage in remote areas, the popularization of the 5G base station is facilitated, and the narrowband Internet of things is safer and more labor-saving.
The remote control system can be automatically connected with the cloud server after being electrified and coordinates with the intelligent temperature control system, the remote control system can upload a data processing result to the cloud server every time when temperature and humidity data are collected, and therefore workers can monitor the running condition of the 5G base station air conditioner and the temperature and humidity value in the base station in real time outside thousands of miles.
The abnormal alarm function is that if the working state of the air conditioner is abnormal, the remote control system can respond quickly and send abnormal information to the cloud server, so that workers can find and repair the air conditioner in time, and unnecessary loss is reduced.
The remote control function is that the operating state, the working mode and the relevant control parameters of the air conditioner can be changed through the cloud console by a worker.
The foregoing merely represents preferred embodiments of the invention, which are described in some detail and detail, and therefore should not be construed as limiting the scope of the invention. It should be noted that, for those skilled in the art, various changes, modifications and substitutions can be made without departing from the spirit of the present invention, and these are all within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (4)
1. The utility model provides a 5G basic station air conditioner intelligence control system based on narrowband thing networking which characterized in that, intelligence control system's control strategy includes the following step:
step one, the intelligent temperature control system collects data through a temperature and humidity sensor, and a Microcontroller (MCU) carried by an air conditioner control panel automatically captures collected results and processes the collected results into identifiable digital quantity.
And secondly, the intelligent temperature control system performs corresponding judgment decision and control strategy implementation according to the acquired temperature and humidity digital quantity through an intelligent control algorithm, so that the air conditioner is controlled to automatically perform corresponding adjustment actions according to real-time temperature and humidity values, and temperature control in the 5G base station is realized more intelligently.
And thirdly, the remote monitoring system realizes communication between the remote client and the 5G base station air conditioner through a Narrow-Band Internet of Things (NB-IoT), uploads the current indoor temperature and humidity value and abnormal working condition information to the cloud server in real time, and sends an instruction sent by the cloud to the air conditioner microcontroller to realize remote monitoring and operation and maintenance.
2. The intelligent control system according to claim 1, wherein the data acquisition performed by the first moderate temperature humidity sensor is as follows:
the temperature and humidity acquisition adopts an indoor sensor and an outdoor sensor, one sensor is arranged near a main communication equipment machine of an indoor 5G base station, the other sensor is arranged outdoors through a wiring, and the specific position is schematically shown in the attached figure 2.
3. The intelligent control system according to claim 1, wherein the intelligent temperature control system in the second step comprises the following specific contents:
the control framework of the intelligent temperature control system is as follows: the energy-saving automatic control is realized on the basis of ensuring the safe and stable operation of the equipment in the base station. The normal working modes of the air conditioner comprise a refrigeration mode, an air exhaust mode, a dehumidification mode and a standby mode. The control system carries out automatic mode selection after being processed by an intelligent algorithm according to the temperature and humidity values acquired by the temperature and humidity sensor, and if the indoor temperature and humidity are detected to be within a normal range, the air conditioner exits from the current mode and enters a standby mode until the next decisive temperature and humidity parameter is read and then is judged again and the mode is selected. Compared with the air conditioner which is started all the year round, the air conditioner can save a large amount of energy consumption and reduce emission.
The core control strategy of the intelligent algorithm consists of temperature and temperature difference double-parameter control and PID control, and generally, the normal temperature is between 5 and 35 ℃, and the relative humidity is less than 90 percent. If the range is exceeded, the equipment is abnormally operated and even fails. The method comprises the following specific steps:
the first step is as follows: firstly, selecting indoor temperature T as a first judgment factor, indoor humidity RH as a second judgment factor, introducing indoor and outdoor temperature difference Deltat as a third judgment factor, and finally carrying out comprehensive decision according to three control parameters with different priorities (T > RH >. Deltat), thereby controlling the air conditioner to work in a proper working mode. The specific decision strategy is as follows:
1) standby mode: when the indoor temperature T meets the working requirement, the air-conditioning ventilation system does not work;
2) air exhaust mode: when the indoor temperature T is more than 35 ℃, the outdoor temperature is lower, and the indoor temperature T is higher than the outdoor temperature delta T, the air exhaust function is started, temperature regulation is performed through ventilation, the air conditioner fan works at the moment, the compressor does not work, the temperature difference between the indoor temperature and the outdoor temperature is fully utilized to perform temperature regulation, and energy consumption is saved;
3) a refrigeration mode: when the indoor temperature T is more than 35 ℃, and the outdoor temperature is too high, the refrigeration mode is started again when the indoor temperature cannot be reduced by using the exhaust air, and the air-conditioning fan and the compressor work simultaneously;
4) a dehumidification mode: when the indoor humidity RH is greater than 90%, the dehumidification function of the air conditioner is started to enter a dehumidification mode, and the fan of the air conditioner compressor works at the same time. Here, considering that the temperature and humidity are two control parameters that may affect each other, the critical value of the indoor humidity RH is set to be high (the critical value of the relative humidity suitable for human body is 70%), because the priority of controlling the indoor temperature T is higher.
And secondly, on the basis of the decision of the first step, eliminating the static error by adopting a PID control strategy so as to solve the problem of larger hysteresis of the air conditioner control system and realize temperature control more accurately.
In the formula, u (n) is the output quantity of the controller, the output quantity is used as a parameter to indirectly act on the adjustment of the output power of the 5G air conditioner compressor and the fan, so that the temperature can be controlled more accurately, and part of energy consumption can be saved, and e (n) is an error signal, namely the temperature difference between the current real-time temperature and the set temperature. KpIs the proportional gain, KiIs the integral gain, KdIs a differential gain, the value of which can be adjusted to a suitable range by continuous adjustment according to operation experience and theoretical analysis.
4. The intelligent control system according to claim 1, wherein the remote monitoring system in step three implements remote monitoring and operation and maintenance as follows:
compared with the 3G/4G, the narrowband Internet of things has the four advantages of low power consumption, strong link, wide coverage and low cost, because the 5G base station is frequently dispersed in position and remote in region, the Internet of things is realized by connecting the NB-IoT with the cloud server, the air conditioner operation and working condition in the 5G base station machine room are conveniently monitored, the base station is convenient to install and manage in remote areas, the popularization of the 5G base station in the whole country is facilitated, and the narrowband Internet of things is safer and more labor-saving.
The remote control system can be automatically connected with the cloud server after being electrified and coordinates with the intelligent temperature control system, the remote control system can upload a data processing result to the cloud server every time when temperature and humidity data are collected, and therefore workers can monitor the running condition of the 5G base station air conditioner and the temperature and humidity value in the base station in real time outside thousands of miles.
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| CN117346417A (en) * | 2023-12-05 | 2024-01-05 | 无锡迈泰科技有限公司 | Water chiller temperature control system and method based on Internet of things technology |
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| CN117346417A (en) * | 2023-12-05 | 2024-01-05 | 无锡迈泰科技有限公司 | Water chiller temperature control system and method based on Internet of things technology |
| CN117346417B (en) * | 2023-12-05 | 2024-03-22 | 无锡迈泰科技有限公司 | Water chiller temperature control system and method based on Internet of things technology |
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