CN114017900A - Cluster control technology based on WIFI-mesh ad hoc network central air conditioner - Google Patents
Cluster control technology based on WIFI-mesh ad hoc network central air conditioner Download PDFInfo
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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
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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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
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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
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- H—ELECTRICITY
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- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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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
- F24F2110/00—Control inputs relating to air properties
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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
- F24F2120/00—Control inputs relating to users or occupants
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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
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Abstract
The invention discloses a cluster control technology based on a WIFI-mesh ad hoc network central air conditioner; the invention provides a WiFi network, a database, a wireless communication device, a wireless circulating water temperature monitoring device and a wireless indoor temperature and humidity monitoring device by arranging the background server and the plurality of wireless APs, thereby solving the problem that the independent regulation and control of a central air conditioning unit and a tail end are not realized by utilizing a wireless network; the data management is poor, the PC is used as a control center, the unified management of a database of data is not realized, and only the data collection and judgment are simple, so that the long-term management and the accurate control of the system are not facilitated; the method and the system have the advantages that the problem of energy waste is further caused by the uncomfortable response of overheating or supercooling of a human body, the temperature of each region can be adjusted according to the change of the flow of people in each region based on the central air-conditioning management method and the central air-conditioning management system based on the positioning of the wireless local area network, the temperature in different regions is more comfortable and humanized, and the effects of energy conservation and emission reduction are achieved.
Description
Technical Field
The invention relates to the technical field of central air conditioner control, in particular to a cluster control technology of a WIFI-mesh ad hoc network-based central air conditioner.
Background
In recent years, with the rapid development of social economy, the energy consumption proportion of the central air conditioner is rapidly increased, and as a part of the power load, the energy consumption proportion of the central air conditioner reaches more than 60% of the energy consumption of buildings and accounts for 35% of the power load, so that the energy-saving optimization control system and the method for the central air conditioner are established to realize energy conservation, and the high-efficiency utilization of the energy for the air conditioner is of great significance. Meanwhile, as the central air-conditioning system is a complex system, the optimal operation and energy conservation of the central air-conditioning system need to be realized by uniformly considering and comprehensively controlling all links of the air-conditioning system, including a host, a chilled water system, a cooling water system and the like, so that the optimal operation result can be realized only by the coordinated operation of the whole system. The cluster control technology of the traditional ad hoc network central air conditioner is poor in signal quality, a central air conditioner system is mostly installed in a large building, a concrete wall has a large shielding effect on wireless signals, a ZigBee wireless sensor network is a communication frequency band based on 2.4GHZ, the obstacle detouring capability of the frequency band is poor, the power consumption of a wireless communication module and the number of relay modules need to be increased to ensure the communication quality of the network, and therefore the cost of the network and the complexity of the networking technology can be increased; the network utilization rate is low, the application of the wireless sensor network is limited to collecting indoor temperature and infrared data, information is gathered through a PC and then control information is fed back, and the wireless network is not utilized to realize independent regulation and control of a central air conditioning unit and a tail end; the data management is poor, the PC is used as a control center, the unified management of a database of data is not realized, and only the data collection and judgment are simple, so that the long-term management and the accurate control of the system are not facilitated; the system has poor lag treatment, and meanwhile, a central air conditioner is usually used for regulating the temperature in large public places with flowing tide, such as libraries, large halls and the like, but the following energy wastes exist in the mode: firstly, central air conditioning control place scope is great, and nevertheless the crowd distributes and is the zonetization for a short time, and the control area is comparatively dispersed relatively central air conditioning, and traditional central authorities' formula temperature control adjusts, very easily causes the regional difference in temperature and then causes the waste of the energy and human discomfort. Secondly, because of the existence of the people flow tide, the change of the people flow along with the time has peak-valley value, the heat dissipation of the human body and the movement of the crowd cause the temperature fluctuation in the place, the uncomfortable reaction of overheating or overcooling is brought to the human body, and the energy waste is further caused,
disclosure of Invention
The invention aims to provide a cluster control technology of a central air conditioner based on a WIFI-mesh ad hoc network, which has the advantages that the temperature of each region can be adjusted according to the change of the flow of people in each region by a central air conditioner management method and system based on wireless local area network positioning, so that the temperatures in different regions are more comfortable and humanized, the effects of energy conservation and emission reduction are achieved, and the problem that the independent regulation and control of a central air conditioner set and a tail end are not realized by utilizing a wireless network is solved; the data management is poor, the PC is used as a control center, the unified management of a database of data is not realized, and only the data collection and judgment are simple, so that the long-term management and the accurate control of the system are not facilitated; the system has poor hysteresis processing and a large range of control places of the central air conditioner, however, the crowd distribution is small in area and is dispersed relatively to the total control area of the central air conditioner, and the traditional central temperature control and regulation easily causes the area temperature difference to further cause the waste of energy and the discomfort of human bodies; due to the fact that people flow tides exist, peak-valley values exist when the people flow rate changes along with time, temperature fluctuation in a place is caused by human body heat dissipation and crowd activities, and the problem that energy waste is caused due to the fact that the uncomfortable reaction of overheating or overcooling is brought to a human body is solved.
In order to achieve the purpose, the invention provides the following technical scheme: a cluster control technology based on a WIFI-mesh ad hoc network central air conditioner comprises the following steps:
step 1: providing a WiFi network by using a background server and a plurality of wireless APs, and sending position information and signal strength information of a user terminal accessed to the WiFi network to the background server;
step 2: the background server obtains air conditioner pre-power consumption values of human body corresponding comfortable temperatures of different pedestrian flow rates of each area through model building and analysis, and accordingly a database is built and the power of each air conditioning unit is controlled to adjust the temperature of the corresponding area;
and step 3: the intelligent information management center is positioned in a monitoring room of a central air conditioner of a large building, is connected with a central communication device in the wireless communication device through an RS232 serial port line and is responsible for summarizing, counting, analyzing and processing all monitoring information;
and 4, step 4: the wireless circulating water temperature monitoring device monitors the supply and return water temperatures of the freezing water and the cooling water of the central air conditioner;
and 5: the wireless indoor temperature and humidity monitoring device transmits temperature and humidity information to the intelligent information management center, and indoor carbon dioxide concentration information can control the running states of the tail end fan and the tail end electromagnetic valve after control commands issued by the information management center;
step 6: the system is characterized by integrating supply and return water temperature and water flow rate information of a refrigerating water system and a cooling water system of a central air conditioner, which are acquired by a wireless circulating water temperature monitoring device and a wireless circulating water flow rate monitoring device;
and 7: the method comprises the steps that a wireless sensor networking technology is applied, and an air conditioning system of the whole controlled building is divided into a wireless network with a well-defined level and a network access rule through program initialization;
and 8: the accurate optimization control of the central air-conditioning system is realized in advance.
Preferably, in step 1, when the user terminal accesses the WiFi network, each user terminal can be connected to the WiFi network provided by at least three wireless APs, and the plurality of wireless APs are connected through a wired local area network.
Preferably, the background server comprises an upper computer, and an interaction server and a position server which are connected with the upper computer, and the wireless AP is respectively connected with the interaction server and the position server; the air conditioner control subsystem comprises a plurality of air conditioner units and DDC controllers connected with the air conditioner units in a one-to-one correspondence mode, and the DDC controllers are connected with the upper computer through RS485 buses.
Preferably, in step 2, after receiving the position information and the signal strength information, the background server first performs people flow tide judgment, and when the people flow rate in the whole area is greater than the normal people flow rate parameter, sends a full-speed function instruction set to the controller of each air conditioning unit to improve the power of the air conditioning unit; when the pedestrian flow in the whole area is smaller than the normal pedestrian flow parameter, comparing the crowd density under different subareas with the database parameter, judging according to the parameter information set by the database and the subarea crowd density and power consumption curve, if the subarea crowd density exceeds the normal density of the area, sending a full-speed functional instruction set to the controller of the air conditioning unit corresponding to the subareas and the surrounding area to improve the power of the air conditioning unit, and if the subarea crowd density is smaller than the normal density parameter information of the area, sending a single functional instruction set to the controller of the air conditioning unit in the area to reduce the power of the air conditioning unit.
Preferably, in step 3, the operation condition of the air conditioner and the indoor temperature and humidity condition are displayed in real time, and then a control command is sent through the wireless communication device, so as to realize the control of the whole wireless network and the optimized operation of the central air conditioner, wherein the information processing module receives the information uploaded by the central communication device and analyzes and processes the information.
Preferably, the database management module stores the information processed by the information processing module; the load calculation module calculates the load of the central air-conditioning system according to the information stored in the database management module; the load prediction module predicts the load of the central air-conditioning system at the future time according to the information stored in the database management module; the fuzzy control module performs fuzzy reasoning according to the data information obtained by the load calculation module and the load prediction module and sends a control command; and the abnormity alarm module performs abnormity judgment and alarms according to the data obtained by the information processing module.
Preferably, in step 4, the supply water temperature information and the return water temperature information are transmitted to the intelligent information management center through a wireless communication device; the wireless circulating water flow rate monitoring device is arranged on the water conveying pipelines of the refrigerating water system of the central air conditioner and the circulating water pump of the cooling water system, monitors the water flow rates of the refrigerating water system and the cooling water system of the central air conditioner, and transmits water flow rate information to the intelligent information management center through the wireless communication device.
Preferably, the wireless logic control monitoring device is connected with the programmable logic controller through a digital port of the programmable logic controller, and uploads the state information of the programmable logic controller to the intelligent information management center through the wireless communication device and issues the control command of the intelligent information management center to the programmable logic controller; the programmable logic controller is connected with the frequency converter through an analog quantity port, and intelligent optimization control of the central air-conditioning host is realized by controlling the running states of the circulating water pump and the cooling tower fan.
Preferably, in step 6, the temperature, humidity and carbon dioxide concentration information collected by the wireless indoor temperature and humidity monitoring devices and the wireless indoor carbon dioxide monitoring devices of all rooms on the floor are collected, and then the information is forwarded to the first relay communication device, and meanwhile, the control command forwarded by the first relay communication device is received and forwarded to the intelligent terminal control device.
Preferably, in step 7, monitoring information, establishing a database, calculating an overall load value of the central air-conditioning system, and predicting a load value of the central air-conditioning system at the next moment based on a short-term load prediction method on a similar day; the load forecasting method and the fuzzy control technology are combined, and the supply and return water temperature variation of the chilled water and the cooling water of the central air conditioner is used for controlling.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a WiFi network, a database, a wireless communication device, a wireless circulating water temperature monitoring device and a wireless indoor temperature and humidity monitoring device by arranging the background server and the plurality of wireless APs, thereby solving the problem that the independent regulation and control of a central air conditioning unit and a tail end are not realized by utilizing a wireless network; the data management is poor, the PC is used as a control center, the unified management of a database of data is not realized, and only the data collection and judgment are simple, so that the long-term management and the accurate control of the system are not facilitated; the system has poor hysteresis processing and a large range of control places of the central air conditioner, however, the crowd distribution is small in area and is dispersed relatively to the total control area of the central air conditioner, and the traditional central temperature control and regulation easily causes the area temperature difference to further cause the waste of energy and the discomfort of human bodies; due to the fact that people flow tides exist, peak-valley values exist when people flow changes along with time, temperature fluctuation in places is caused by heat dissipation of human bodies and activities of people, and not only is an uncomfortable response of overheating or supercooling brought to the human bodies to further cause energy waste, the cluster control technology based on the WIFI-mesh ad hoc network central air conditioner has the advantages that the central air conditioner management method and system based on wireless local area network positioning can adjust the temperature of each area according to changes of people flow of each area, the temperature in different areas is more comfortable and humanized, and the effects of energy conservation and emission reduction are achieved.
Drawings
FIG. 1 is a schematic view of the operation process of the inventive patent structure.
Detailed Description
The present invention will now be described in more detail by way of examples, which are given by way of illustration only and are not intended to limit the scope of the present invention in any way.
The invention provides a technical scheme that: a cluster control technology based on a WIFI-mesh ad hoc network central air conditioner comprises the following steps:
step 1: providing a WiFi network by using a background server and a plurality of wireless APs, and sending position information and signal strength information of a user terminal accessed to the WiFi network to the background server;
step 2: the background server obtains air conditioner pre-power consumption values of human body corresponding comfortable temperatures of different pedestrian flow rates of each area through model building and analysis, and accordingly a database is built and the power of each air conditioning unit is controlled to adjust the temperature of the corresponding area;
and step 3: the intelligent information management center is positioned in a monitoring room of a central air conditioner of a large building, is connected with a central communication device in the wireless communication device through an RS232 serial port line and is responsible for summarizing, counting, analyzing and processing all monitoring information;
and 4, step 4: the wireless circulating water temperature monitoring device monitors the supply and return water temperatures of the freezing water and the cooling water of the central air conditioner;
and 5: the wireless indoor temperature and humidity monitoring device transmits temperature and humidity information to the intelligent information management center, and indoor carbon dioxide concentration information can control the running states of the tail end fan and the tail end electromagnetic valve after control commands issued by the information management center;
step 6: the system is characterized by integrating supply and return water temperature and water flow rate information of a refrigerating water system and a cooling water system of a central air conditioner, which are acquired by a wireless circulating water temperature monitoring device and a wireless circulating water flow rate monitoring device;
and 7: the method comprises the steps that a wireless sensor networking technology is applied, and an air conditioning system of the whole controlled building is divided into a wireless network with a well-defined level and a network access rule through program initialization;
and 8: the accurate optimization control of the central air-conditioning system is realized in advance.
The first embodiment is as follows:
providing a WiFi network by using a background server and a plurality of wireless APs, and sending position information and signal strength information of a user terminal accessed to the WiFi network to the background server; the background server obtains air conditioner pre-power consumption values of human body corresponding comfortable temperatures of different pedestrian flow rates of each area through model building and analysis, and accordingly a database is built and the power of each air conditioning unit is controlled to adjust the temperature of the corresponding area; the intelligent information management center is positioned in a monitoring room of a central air conditioner of a large building, is connected with a central communication device in the wireless communication device through an RS232 serial port line and is responsible for summarizing, counting, analyzing and processing all monitoring information; the wireless circulating water temperature monitoring device monitors the supply and return water temperatures of the freezing water and the cooling water of the central air conditioner; the wireless indoor temperature and humidity monitoring device transmits temperature and humidity information to the intelligent information management center, and indoor carbon dioxide concentration information can control the running states of the tail end fan and the tail end electromagnetic valve after control commands issued by the information management center; the system is characterized by integrating supply and return water temperature and water flow rate information of a refrigerating water system and a cooling water system of a central air conditioner, which are acquired by a wireless circulating water temperature monitoring device and a wireless circulating water flow rate monitoring device; the method comprises the steps that a wireless sensor networking technology is applied, and an air conditioning system of the whole controlled building is divided into a wireless network with a well-defined level and a network access rule through program initialization; the accurate optimization control of the central air-conditioning system is realized in advance.
Example two:
in the first embodiment, the following steps are added:
in step 1, when a user terminal accesses a WiFi network, each user terminal can be connected with the WiFi network provided by at least three wireless APs and a plurality of wireless APs connected through a wired local area network; the background server comprises an upper computer, and an interaction server and a position server which are connected with the upper computer, and the wireless AP is respectively connected with the interaction server and the position server; the air conditioner control subsystem comprises a plurality of air conditioner units and DDC controllers connected with the air conditioner units in a one-to-one correspondence mode, and the DDC controllers are connected with the upper computer through RS485 buses.
Providing a WiFi network by using a background server and a plurality of wireless APs, and sending position information and signal strength information of a user terminal accessed to the WiFi network to the background server; the background server obtains air conditioner pre-power consumption values of human body corresponding comfortable temperatures of different pedestrian flow rates of each area through model building and analysis, and accordingly a database is built and the power of each air conditioning unit is controlled to adjust the temperature of the corresponding area; the intelligent information management center is positioned in a monitoring room of a central air conditioner of a large building, is connected with a central communication device in the wireless communication device through an RS232 serial port line and is responsible for summarizing, counting, analyzing and processing all monitoring information; the wireless circulating water temperature monitoring device monitors the supply and return water temperatures of the freezing water and the cooling water of the central air conditioner; the wireless indoor temperature and humidity monitoring device transmits temperature and humidity information to the intelligent information management center, and indoor carbon dioxide concentration information can control the running states of the tail end fan and the tail end electromagnetic valve after control commands issued by the information management center; the system is characterized by integrating supply and return water temperature and water flow rate information of a refrigerating water system and a cooling water system of a central air conditioner, which are acquired by a wireless circulating water temperature monitoring device and a wireless circulating water flow rate monitoring device; the method comprises the steps that a wireless sensor networking technology is applied, and an air conditioning system of the whole controlled building is divided into a wireless network with a well-defined level and a network access rule through program initialization; the accurate optimization control of the central air-conditioning system is realized in advance.
Example three:
in the second embodiment, the following steps are added:
in step 2, after receiving the position information and the signal intensity information, the background server firstly judges the stream tide, and when the flow of people in the whole area is greater than the normal flow of people parameter, a full-speed functional instruction set is sent to the controller of each air conditioning unit to improve the power of the air conditioning unit; when the pedestrian flow in the whole area is smaller than the normal pedestrian flow parameter, comparing the crowd density under different subareas with the database parameter, judging according to the parameter information set by the database and the subarea crowd density and power consumption curve, if the subarea crowd density exceeds the normal density of the area, sending a full-speed functional instruction set to the controller of the air conditioning unit corresponding to the subareas and the surrounding area to improve the power of the air conditioning unit, and if the subarea crowd density is smaller than the normal density parameter information of the area, sending a single functional instruction set to the controller of the air conditioning unit in the area to reduce the power of the air conditioning unit.
Providing a WiFi network by using a background server and a plurality of wireless APs, and sending position information and signal strength information of a user terminal accessed to the WiFi network to the background server; the background server obtains air conditioner pre-power consumption values of human body corresponding comfortable temperatures of different pedestrian flow rates of each area through model building and analysis, and accordingly a database is built and the power of each air conditioning unit is controlled to adjust the temperature of the corresponding area; the intelligent information management center is positioned in a monitoring room of a central air conditioner of a large building, is connected with a central communication device in the wireless communication device through an RS232 serial port line and is responsible for summarizing, counting, analyzing and processing all monitoring information; the wireless circulating water temperature monitoring device monitors the supply and return water temperatures of the freezing water and the cooling water of the central air conditioner; the wireless indoor temperature and humidity monitoring device transmits temperature and humidity information to the intelligent information management center, and indoor carbon dioxide concentration information can control the running states of the tail end fan and the tail end electromagnetic valve after control commands issued by the information management center; the system is characterized by integrating supply and return water temperature and water flow rate information of a refrigerating water system and a cooling water system of a central air conditioner, which are acquired by a wireless circulating water temperature monitoring device and a wireless circulating water flow rate monitoring device; the method comprises the steps that a wireless sensor networking technology is applied, and an air conditioning system of the whole controlled building is divided into a wireless network with a well-defined level and a network access rule through program initialization; the accurate optimization control of the central air-conditioning system is realized in advance. Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A cluster control technology based on a WIFI-mesh ad hoc network central air conditioner is characterized in that: the method comprises the following steps:
step 1: providing a WiFi network by using a background server and a plurality of wireless APs, and sending position information and signal strength information of a user terminal accessed to the WiFi network to the background server;
step 2: the background server obtains air conditioner pre-power consumption values of human body corresponding comfortable temperatures of different pedestrian flow rates of each area through model building and analysis, and accordingly a database is built and the power of each air conditioning unit is controlled to adjust the temperature of the corresponding area;
and step 3: the intelligent information management center is positioned in a monitoring room of a central air conditioner of a large building, is connected with a central communication device in the wireless communication device through an RS232 serial port line and is responsible for summarizing, counting, analyzing and processing all monitoring information;
and 4, step 4: the wireless circulating water temperature monitoring device monitors the supply and return water temperatures of the freezing water and the cooling water of the central air conditioner;
and 5: the wireless indoor temperature and humidity monitoring device transmits temperature and humidity information to the intelligent information management center, and indoor carbon dioxide concentration information can control the running states of the tail end fan and the tail end electromagnetic valve after control commands issued by the information management center;
step 6: the system is characterized by integrating supply and return water temperature and water flow rate information of a refrigerating water system and a cooling water system of a central air conditioner, which are acquired by a wireless circulating water temperature monitoring device and a wireless circulating water flow rate monitoring device;
and 7: the method comprises the steps that a wireless sensor networking technology is applied, and an air conditioning system of the whole controlled building is divided into a wireless network with a well-defined level and a network access rule through program initialization;
and 8: the accurate optimization control of the central air-conditioning system is realized in advance.
2. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: in step 1, when the user terminal accesses the WiFi network, each user terminal can be connected to the WiFi network provided by at least three wireless APs, and the plurality of wireless APs are connected through the wired local area network.
3. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: the background server comprises an upper computer, and an interaction server and a position server which are connected with the upper computer, and the wireless AP is respectively connected with the interaction server and the position server; the air conditioner control subsystem comprises a plurality of air conditioner units and DDC controllers connected with the air conditioner units in a one-to-one correspondence mode, and the DDC controllers are connected with the upper computer through RS485 buses.
4. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: in the step 2, after receiving the position information and the signal intensity information, the background server firstly judges the stream tide, and when the flow of people in the whole area is greater than the normal flow parameter, a full-speed functional instruction set is sent to the controller of each air conditioning unit so as to improve the power of the air conditioning unit; when the pedestrian flow in the whole area is smaller than the normal pedestrian flow parameter, comparing the crowd density under different subareas with the database parameter, judging according to the parameter information set by the database and the subarea crowd density and power consumption curve, if the subarea crowd density exceeds the normal density of the area, sending a full-speed functional instruction set to the controller of the air conditioning unit corresponding to the subareas and the surrounding area to improve the power of the air conditioning unit, and if the subarea crowd density is smaller than the normal density parameter information of the area, sending a single functional instruction set to the controller of the air conditioning unit in the area to reduce the power of the air conditioning unit.
5. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: in the step 3, the operation condition of the air conditioner and the indoor temperature and humidity condition are displayed in real time, and then the control command is sent through the wireless communication device, so that the control of the whole wireless network and the optimized operation of the central air conditioner are realized, wherein the information processing module receives the information uploaded by the central communication device and analyzes and processes the information.
6. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: the database management module stores the information processed by the information processing module; the load calculation module calculates the load of the central air-conditioning system according to the information stored in the database management module; the load prediction module predicts the load of the central air-conditioning system at the future time according to the information stored in the database management module; the fuzzy control module performs fuzzy reasoning according to the data information obtained by the load calculation module and the load prediction module and sends a control command; and the abnormity alarm module performs abnormity judgment and alarms according to the data obtained by the information processing module.
7. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: in the step 4, the supply water temperature information and the return water temperature information are transmitted to the intelligent information management center through a wireless communication device; the wireless circulating water flow rate monitoring device is arranged on the water conveying pipelines of the refrigerating water system of the central air conditioner and the circulating water pump of the cooling water system, monitors the water flow rates of the refrigerating water system and the cooling water system of the central air conditioner, and transmits water flow rate information to the intelligent information management center through the wireless communication device.
8. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: the wireless logic control monitoring device is connected with the programmable logic controller through a digital port of the programmable logic controller, uploads the state information of the programmable logic controller to the intelligent information management center through the wireless communication device, and issues a control command of the intelligent information management center to the programmable logic controller; the programmable logic controller is connected with the frequency converter through an analog quantity port, and intelligent optimization control of the central air-conditioning host is realized by controlling the running states of the circulating water pump and the cooling tower fan.
9. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: in step 6, the temperature and humidity and carbon dioxide concentration information collected by the wireless indoor temperature and humidity monitoring devices and the wireless indoor carbon dioxide monitoring devices of all rooms on the floor are collected, and then the information is forwarded to the first relay communication device, and meanwhile, the control command forwarded by the first relay communication device is received and forwarded to the intelligent terminal control device.
10. The cluster control technology based on the WIFI-mesh ad hoc network central air conditioner as claimed in claim 1, wherein: in the step 7, information is monitored, a database is established, the whole load value of the central air-conditioning system is calculated, and meanwhile, the load value of the central air-conditioning system at the next moment is predicted based on a short-term load prediction method on a similar day; the load forecasting method and the fuzzy control technology are combined, and the supply and return water temperature variation of the chilled water and the cooling water of the central air conditioner is used for controlling.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115542824A (en) * | 2022-12-02 | 2022-12-30 | 广州市创博机电设备安装有限公司 | Central air conditioning unit control method and system based on energy consumption management and control |
CN116699462A (en) * | 2023-07-20 | 2023-09-05 | 常州帕斯菲克自动化技术股份有限公司 | Intelligent monitoring and collecting device for passive zinc oxide lightning arrester |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102052739A (en) * | 2010-12-27 | 2011-05-11 | 重庆大学 | Central air conditioner intelligent control system based on wireless sensor network and method |
CN102192567A (en) * | 2010-03-05 | 2011-09-21 | 方芳 | Energy-saving control system for central air conditioner |
CN102721156A (en) * | 2012-06-30 | 2012-10-10 | 李钢 | Central air-conditioning self-optimization intelligent fuzzy control device and control method thereof |
CN106931603A (en) * | 2017-03-27 | 2017-07-07 | 重庆市计量质量检测研究院 | Central air conditioning cooling water system energy efficiency monitoring system based on technology of Internet of things |
CN107504646A (en) * | 2017-08-30 | 2017-12-22 | 常州常工电子科技股份有限公司 | Central air-conditioning intelligence energy-saving monitoring system and method |
CN111006372A (en) * | 2019-12-09 | 2020-04-14 | 武汉理工大学 | Central air conditioner management method and system based on wireless local area network positioning |
CN211650649U (en) * | 2019-12-09 | 2020-10-09 | 广西电网有限责任公司南宁供电局 | Central air conditioning efficiency monitoring system |
-
2021
- 2021-08-30 CN CN202111000831.5A patent/CN114017900A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102192567A (en) * | 2010-03-05 | 2011-09-21 | 方芳 | Energy-saving control system for central air conditioner |
CN102052739A (en) * | 2010-12-27 | 2011-05-11 | 重庆大学 | Central air conditioner intelligent control system based on wireless sensor network and method |
CN102721156A (en) * | 2012-06-30 | 2012-10-10 | 李钢 | Central air-conditioning self-optimization intelligent fuzzy control device and control method thereof |
CN106931603A (en) * | 2017-03-27 | 2017-07-07 | 重庆市计量质量检测研究院 | Central air conditioning cooling water system energy efficiency monitoring system based on technology of Internet of things |
CN107504646A (en) * | 2017-08-30 | 2017-12-22 | 常州常工电子科技股份有限公司 | Central air-conditioning intelligence energy-saving monitoring system and method |
CN111006372A (en) * | 2019-12-09 | 2020-04-14 | 武汉理工大学 | Central air conditioner management method and system based on wireless local area network positioning |
CN211650649U (en) * | 2019-12-09 | 2020-10-09 | 广西电网有限责任公司南宁供电局 | Central air conditioning efficiency monitoring system |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115542824A (en) * | 2022-12-02 | 2022-12-30 | 广州市创博机电设备安装有限公司 | Central air conditioning unit control method and system based on energy consumption management and control |
CN116699462A (en) * | 2023-07-20 | 2023-09-05 | 常州帕斯菲克自动化技术股份有限公司 | Intelligent monitoring and collecting device for passive zinc oxide lightning arrester |
CN116699462B (en) * | 2023-07-20 | 2023-11-07 | 常州帕斯菲克自动化技术股份有限公司 | Intelligent monitoring and collecting device for passive zinc oxide lightning arrester |
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