CN107797581B - Warm big data economizer system that leads to - Google Patents

Warm big data economizer system that leads to Download PDF

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CN107797581B
CN107797581B CN201710786928.0A CN201710786928A CN107797581B CN 107797581 B CN107797581 B CN 107797581B CN 201710786928 A CN201710786928 A CN 201710786928A CN 107797581 B CN107797581 B CN 107797581B
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CN107797581A (en
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任升莲
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任升莲
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • G05D23/1927Control of temperature characterised by the use of electric means using a plurality of sensors
    • G05D23/193Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces
    • G05D23/1931Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of one space

Abstract

The invention discloses a heating and ventilation big data energy-saving system. More specifically, the heating and ventilation system is used as a platform, an internet network communication technology and an automatic regulation control technology are utilized, a weather prediction detection system and the load demand of an end user are combined as a basis, a cold consumption model of end equipment of a central air conditioning system and a weather data standard model are used as a basis, and the load demand of the user in the next time period is predicted in real time by adopting improved dynamic coefficient values according to the current load of the end user and the weather data standard. On the basis of the real-time prediction of the dynamic load of the air conditioner, the variable flow control of the central air conditioning system is completed, a new control mode is provided for the variable flow control of the central air conditioning system, the purpose of adjusting the load of a central air conditioning host according to the load requirement of a user is achieved, and the running energy consumption of the central air conditioning system is effectively reduced.

Description

Warm big data economizer system that leads to
The technical field is as follows:
the invention relates to the field of heating and ventilation equipment, in particular to a heating and ventilation big data energy-saving system.
Background art:
modern society is facing more and more serious energy crisis, and building energy conservation has received more and more attention. Central air conditioning is an indispensable energy consumption operation system in modern buildings. The central air-conditioning system consumes a large amount of energy while providing comfortable living and working environments for people. According to statistics of relevant data, the energy consumption of buildings in China accounts for about 30% of the total energy consumption, and in buildings with central air conditioners, the central air conditioner accounts for about 70% and tends to increase year by year. At present, most air conditioning systems using water-air are adopted in buildings in China.
On the premise of meeting the requirement of comfort level, the reasonable control of the operation of the central air-conditioning system is the most effective measure for reducing the energy consumption of the air conditioner. At present, a variable flow control technology based on constant temperature difference or constant pressure difference is adopted for the operation energy conservation of a cold source of the central air conditioner, and compared with the traditional constant flow operation mode of the central air conditioner, the application of the variable flow control mode reduces the operation energy consumption of a chilled water pump of the central air conditioner, and the variable flow control technology is widely applied. However, the effect of practical application shows that the current variable flow control mode has obvious defects in the aspects of ensuring user comfort, energy saving effect and the like, and because of the difficulty in acquiring the information of the terminal equipment and the user, the centralized effect of the user load is still used as the control basis, the actual condition of user load change cannot be well reflected and the comfort of all users can not be ensured. The control mode has the defects that the further reduction of the operation energy consumption of the central air-conditioning system is restricted.
The current central air-conditioning system does not have the function of real-time adjustment according to the requirements of users, namely, the requirements of the users are not known, the load requirement of each time period is not known, and accurate control cannot be achieved. The cold and heat quantity of the host equipment of the existing central air-conditioning system is mainly adjusted according to the change of the return water temperature. Under the cold supply working condition, the temperature difference between the water supply and the water return of the water system is less than 3 ℃ (the design temperature difference is 5 ℃), and under the heat supply working condition, the temperature difference between the water supply and the water return of the water system is less than 6 ℃ (the design temperature difference is 10 ℃), and measures for reducing the flow are adopted to adjust the cold and heat loads. However, the flow of the main engine of the system is fixed, and even if a variable-frequency circulating water pump is adopted, the system works in a full-frequency full-load state, and the due flow regulation effect cannot be achieved.
The central air-conditioning system is provided with cold and hot loads by the main machine, and the pipeline constant flow system is used for providing cold and hot water for the end equipment. All the tail end equipment is manually controlled, when the equipment is started, the electric two-way valve of the tail end pipeline is opened, and circulating water of the main pipeline flows through the tail end equipment through the two-way valve to perform cold and heat exchange. When the indoor temperature reaches the set temperature, the electric two-way valve is closed, and the tail end waterway circulation is blocked. The system operates regardless of the number of end devices that are turned on and regardless of whether the end device temperature is satisfied. Once the system is started to operate, the host equipment and the circulating water pump run at full load, and rated water flow and cold and hot loads are provided for the tail end. The host system equipment and the tail end independent equipment operate independently respectively, and the load demand change of a single user cannot be reflected well and the comfort level cannot be guaranteed only by taking the centralized effect of the user load as a control basis.
Once the installation of the existing central air conditioning system is completed, the system is independent. The cold and hot load adjustment device cannot be fully combined with the change of weather and the actual temperature requirement, and can only receive the adjustment of cold and hot loads in a passive mode through the feeling of a user, and the mode is passive and slow, so that the requirement of comfort level is lowered. It is impossible to help people to arrange time effectively and save various energy sources.
The invention content is as follows:
the invention aims to provide a heating and ventilation big data energy-saving system, which is based on the basic defects of the existing central air-conditioning energy-saving control mode and the knowledge on the development of a network control technology, does not adopt a control mode based on the centralized effect of user load any more, but fully utilizes the advantages of the network control technology, directly takes the information of a central air-conditioning terminal user as the basis and aims at researching 'adjustment according to user load requirements', and adopts an improved dynamic coefficient value to predict the load requirements of users in the next time period in real time according to the current load of the terminal users on the basis of a central air-conditioning system terminal equipment cold consumption model provided by the invention. On the basis of the real-time prediction of the dynamic load of the air conditioner, the variable flow control of the central air conditioning system is completed by combining weather parameters, a new control mode is provided for the variable flow control of the central air conditioning system, the purpose of adjusting the load of a central air conditioning host according to the load requirement of a user is achieved, and the running energy consumption of the central air conditioner is effectively reduced.
The technical scheme adopted by the invention is as follows:
a heating and ventilation big data energy-saving system comprises: the system comprises a cloud service platform, the Internet, weather forecast information, a mobile phone or mobile terminal equipment/computer and a plurality of user systems, wherein the user systems are connected to an intelligent gateway through a local area network and are connected to the cloud service platform through the Internet; the cloud service platform comprises a cloud server, a computer and analysis software, and the analysis software has the functions of a business data layer, a data processing platform, an analysis model layer, an analysis service layer, a data display layer, an analysis early warning platform, a big data analysis platform, a pushing platform and other modules; each system of the plurality of user systems comprises a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water replenishing device, water treatment equipment, a user area small-sized weather monitoring station, a regional floor flow control valve A1, a heating and ventilating terminal wireless digital quantity intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6, a machine room data integration device A5, an intelligent gateway and a wireless local area network.
All heating and ventilation user system data of the user systems are connected with the intelligent gateway through the local area network for interconnection, all data are sent to the cloud server through the intelligent gateway, and a user and system maintenance operator can connect the mobile phone or the mobile terminal device/computer to the cloud service platform through the internet or the GPRS/wifi wireless network signal, so that data can be observed, recorded, managed and the like.
The cloud service platform comprises a cloud server, a computer and analysis software: the analysis software has the functions of a business data layer, a data processing platform, an analysis model layer, an analysis service layer, a data display layer, an analysis early warning platform, a big data analysis platform, a pushing platform and other modules; the system can collect data of a user system, help the user system to integrate various data, analyze and process information according to the requirements of different functions, and flexibly and quickly serve the air conditioning system of each user; the system has the functions of App analysis and pushing, the data center and the analysis platform support Andriod and IOS double platforms, and early warning information and analysis data are directly checked at the mobile terminal; the integrated push function of the WeChat is set, the WeChat is seamlessly integrated, login is avoided, and the WeChat is directly notified, so that the trouble of opening the APP is avoided; the cloud server has a cloud control function, and can adjust and control the load demand of the end user in the next time period according to the forecast information and the load demand of the end user in the system as required: the system comprises a zone floor flow control valve A1, a heating and ventilating terminal wireless digital intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6 and a machine room data integrated control device A5.
The plurality of user systems comprise a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water supplementing device, water treatment equipment, a user area small weather monitoring station, a regional floor flow control valve A1, a heating and ventilating terminal wireless digital quantity intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6, a machine room data integration device A5, an intelligent gateway and a wireless local area network; the wireless temperature control receiver A6 is provided with a pyroelectric infrared sensing module for actively adjusting the set temperature and stopping or recovering requirements in a room; and the positions of the personnel, the flowing conditions, the per-capita energy consumption and the like can be analyzed and compared, the reason of energy consumption waste is found out, and intelligent regulation, control, energy conservation and rectification are performed.
The intelligent gateway sets a unique ID when leaving a factory, and the ID can identify the gateway; different addresses are allocated to the same gateway drop device, and the addresses can be used for identifying a single device under a specific gateway.
The small-sized weather monitoring station in the user area is also connected with the intelligent gateway through a wireless local area network, and detection data can be uploaded to the cloud service platform through the gateway.
The wireless temperature control devices A3 in the user systems are connected with the intelligent gateway through a wireless local area network, and data are transmitted to the cloud service platform through the gateway. The data includes, but is not limited to: the running time, the starting time, the shutdown time, the set temperature, the ambient temperature, the running wind speed and the like of the terminal equipment; the wireless temperature control device A4 can directly transmit data to the cloud service platform through GPRS/wifi, and can also be connected with the intelligent gateway through a wireless local area network like the wireless temperature control device A3, and the data are transmitted to the cloud service platform through the gateway. The data includes, but is not limited to: the running time, the starting time, the shutdown time, the set temperature, the ambient temperature, the running wind speed and the like of the terminal equipment.
The wireless temperature control receiver A6 is a system component of a wireless temperature control device A3/A4, and the receiver can execute corresponding actions according to instructions sent by A3/A4. The wind speed and the start and stop of the fan are controlled, and the switch of the heating and ventilation tail end wireless digital intelligent regulating valve A2 is regulated. The pyroelectric infrared sensor is characterized in that a pyroelectric infrared sensing module is arranged on the receiver; the pyroelectric infrared sensing module has a function of sensing and detecting human body movement signal feedback, and carries out data analysis and statistics on the positions and the flowing conditions of the personnel. And transmitting the data to the cloud service platform through the wireless receivers A6 and A3/A4. The cloud service platform analyzes and controls the acquired data, analyzes a production chart, compares and analyzes the positions and the flow conditions of the personnel and the per-capita energy consumption according to the information of rooms, floors, areas and the like, finds out the reasons of energy consumption waste, and performs intelligent regulation and modification; the pyroelectric infrared sensing module has a feedback function of sensing and detecting human body movement signals, and if no human body is detected within a specified time, the wireless temperature control device A3/A4 can automatically reduce the set temperature by 2 ℃ or a certain set value in a heating mode. In the cooling mode, the wireless thermostat A3/A4 can increase the set temperature by 2 ℃ or a certain set value by itself. The energy-saving mode can be adjusted to the energy-saving mode as long as the effect accumulation in the interval time is met until the power-off; when the energy-saving mode is continuously operated, if people are sensed, the normal set temperature is recovered to continue working.
The flow control valve A1 and the warm-ventilation tail end wireless digital intelligent regulating valve A2 of the user systems are connected with the intelligent gateway through a wireless local area network, and data are transmitted to the cloud service platform through the gateway; the data includes, but is not limited to: the valve operating time, the opening time, the closing time, the valve angle information, the valve angle adjustment degree, the adjustment time point, the operating duration and the like; the wireless digital intelligent regulating valve A2 at the heating and ventilation tail end can also transmit the operation data through wireless temperature control devices A3 and A4; the method comprises the following steps that operating data of a machine room data integration device A5 (a device system to which a machine room belongs, such as a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water supplementing device, water treatment equipment and the like) are transmitted to a cloud service platform through a gateway; the data includes, but is not limited to: starting time, running time, temperature of inlet and outlet water, pressure, running time of a water pump, change information of an adjusting state and the like.
In the plurality of user systems, all the tail end equipment branches are provided with heating and ventilating tail end wireless digital quantity intelligent regulating valves A2, tail end equipment control adopts wireless temperature control devices A3 or A4, and a machine room data integrated device A5 is arranged in a machine room area; flow control valves A1 can be arranged at main pipelines of each area and sub-floor needing independent control and metering; the machine room system adopts frequency conversion adjusting host equipment, the circulating water pump adopts a frequency conversion water pump, and the machine room data integration device A5 is connected with a gateway through a local area network to upload equipment running data.
Compared with the prior art, the invention has the beneficial effects that:
the invention discloses an air conditioning system terminal equipment cold consumption real-time prediction method, which is based on a model and adopts an improved dynamic index software model to predict the load demand of a user in the next time period in real time according to the current load of the terminal user. On the basis of the real-time prediction of the dynamic load of the air conditioner, the variable flow control of the central air conditioning system is completed, a new control mode is provided for the variable flow control of the central air conditioning system, the purpose of adjusting the load of a central air conditioning host according to the load requirement of a user is achieved, and the running energy consumption of the central air conditioner is effectively reduced.
Description of the drawings:
FIG. 1 is a schematic diagram of the present invention.
FIG. 2 is a data processing flow diagram of the present invention.
The specific implementation mode is as follows:
the invention will be further described in detail by way of example with reference to the accompanying drawings in which:
a heating and ventilation big data energy-saving system comprises: the system comprises a cloud service platform, the Internet, weather forecast information, a mobile phone or mobile terminal equipment/computer and a plurality of user systems, wherein the user systems are connected to an intelligent gateway through a local area network and are connected to the cloud service platform through the Internet; the cloud service platform comprises a cloud server, a computer and analysis software, and the analysis software has the functions of a business data layer, a data processing platform, an analysis model layer, an analysis service layer, a data display layer, an analysis early warning platform, a big data analysis platform, a pushing platform and other modules; each system of the plurality of user systems comprises a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water replenishing device, water treatment equipment, a user area small-sized weather monitoring station, a regional floor flow control valve A1, a heating and ventilating terminal wireless digital quantity intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6, a machine room data integration device A5, an intelligent gateway and a wireless local area network. All heating and ventilation user system data of a plurality of user systems are connected with an intelligent gateway through a local area network for interconnection, all data are sent to a cloud server through the intelligent gateway, and a user and a system maintenance operator can be connected to a cloud service platform through a mobile phone or a mobile terminal device/computer through the internet or a GPRS/wifi wireless network signal, so that the data can be observed, recorded, managed and the like. The cloud service platform comprises a cloud server, a computer and analysis software: the analysis software has the functions of a business data layer, a data processing platform, an analysis model layer, an analysis service layer, a data display layer, an analysis early warning platform, a big data analysis platform, a pushing platform and other modules; the system can collect data of a user system, help the user system to integrate various data, analyze and process information according to the requirements of different functions, and flexibly and quickly serve the air conditioning system of each user; the system has the functions of App analysis and pushing, the data center and the analysis platform support Andriod and IOS double platforms, and early warning information and analysis data are directly checked at the mobile terminal; the integrated push function of the WeChat is set, the WeChat is seamlessly integrated, login is avoided, and the WeChat is directly notified, so that the trouble of opening the APP is avoided; the cloud server has a cloud control function, and can adjust and control the load demand of the end user in the next time period according to the forecast information and the load demand of the end user in the system as required: the system comprises a zone floor flow control valve A1, a heating and ventilating terminal wireless digital intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6 and a machine room data integrated control device A5. The system comprises a plurality of user systems, a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water replenishing device, water treatment equipment, a user area small-sized weather monitoring station, a regional floor flow control valve A1, a heating and ventilating terminal wireless digital quantity intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6, a machine room data integration device A5, an intelligent gateway and a wireless local area network; the wireless temperature control receiver A6 is provided with a pyroelectric infrared sensing module for actively adjusting the set temperature and stopping or recovering requirements in a room; and the positions of the personnel, the flowing conditions, the per-capita energy consumption and the like can be analyzed and compared, the reason of energy consumption waste is found out, and intelligent regulation, control, energy conservation and rectification are performed. The intelligent gateway sets a unique ID when leaving a factory, and the ID can identify the gateway; different addresses are allocated to the same gateway drop device, and the addresses can be used for identifying a single device under a specific gateway. The small-sized weather monitoring station in the user area is also connected with the intelligent gateway through the wireless local area network, and detection data can be uploaded to the cloud service platform through the gateway. The wireless temperature control devices A3 in the user systems are connected with the intelligent gateway through a wireless local area network, and data are transmitted to the cloud service platform through the gateway. The data includes, but is not limited to: the running time, the starting time, the shutdown time, the set temperature, the ambient temperature, the running wind speed and the like of the terminal equipment; the wireless temperature control device A4 can directly transmit data to the cloud service platform through GPRS/wifi, and can also be connected with the intelligent gateway through a wireless local area network like the wireless temperature control device A3, and the data are transmitted to the cloud service platform through the gateway. The data includes, but is not limited to: the running time, the starting time, the shutdown time, the set temperature, the ambient temperature, the running wind speed and the like of the terminal equipment. The wireless temperature control receiver A6 is a system component of the wireless temperature control device A3/A4, and the receiver can execute corresponding actions according to the instructions sent by A3/A4. The wind speed and the start and stop of the fan are controlled, and the switch of the heating and ventilation tail end wireless digital intelligent regulating valve A2 is regulated. The pyroelectric infrared sensor is characterized in that a pyroelectric infrared sensing module is arranged on the receiver; the pyroelectric infrared sensing module has a function of sensing and detecting human body movement signal feedback, and carries out data analysis and statistics on the positions and the flowing conditions of the personnel. And transmitting the data to the cloud service platform through the wireless receivers A6 and A3/A4. The cloud service platform analyzes and controls the acquired data, analyzes a production chart, compares and analyzes the positions and the flow conditions of the personnel and the per-capita energy consumption according to the information of rooms, floors, areas and the like, finds out the reasons of energy consumption waste, and performs intelligent regulation and modification; the pyroelectric infrared sensing module has a feedback function of sensing and detecting human body movement signals, and if no human body is detected within a specified time, the wireless temperature control device A3/A4 can automatically reduce the set temperature by 2 ℃ in a heating mode. In the cooling mode, the wireless temperature control device A3/A4 can automatically increase the set temperature by 2 ℃. The energy-saving mode can be adjusted to the energy-saving mode as long as the effect accumulation in the interval time is met until the power-off; when the energy-saving mode is continuously operated, if people are sensed, the normal set temperature is recovered to continue working. The flow control valve A1 and the warm-ventilation tail end wireless digital intelligent regulating valve A2 are connected with the intelligent gateway through the wireless local area network, and data are transmitted to the cloud service platform through the gateway; the data includes, but is not limited to: the valve operating time, the opening time, the closing time, the valve angle information, the valve angle adjustment degree, the adjustment time point, the operating duration and the like; the wireless digital intelligent regulating valve A2 at the heating and ventilation tail end can also transmit the operation data through wireless temperature control devices A3 and A4; the method comprises the following steps that operating data of a machine room data integration device A5 (a device system to which a machine room belongs, such as a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water supplementing device, water treatment equipment and the like) are transmitted to a cloud service platform through a gateway; the data includes, but is not limited to: starting time, running time, temperature of inlet and outlet water, pressure, running time of a water pump, change information of an adjusting state and the like. The system comprises a plurality of user systems, all tail end equipment branches are provided with heating and ventilating tail end wireless digital quantity intelligent regulating valves A2, tail end equipment is controlled by wireless temperature control devices A3 or A4, and a machine room data integration device A5 is arranged in a machine room area; flow control valves A1 can be arranged at main pipelines of each area and sub-floor needing independent control and metering; the machine room system adopts frequency conversion adjusting host equipment, the circulating water pump adopts a frequency conversion water pump, and the machine room data integration device A5 is connected with a gateway through a local area network to upload equipment running data.
The present invention first understands the customer needs, which is based on the data of the wireless temperature control device and the flow control valve a1 in the customer's system. In a certain independent user system A, the wireless temperature control device A3/A4 and the terminal equipment and the heating and ventilation terminal wireless digital intelligent regulating valve A2 are directly controlled through wireless radio frequency connection, the wireless temperature control device A3/A4 is connected with mobile terminal equipment of a mobile phone through Bluetooth, and the terminal equipment can be directly controlled through the APP of the mobile phone. The wireless temperature control device A3/A4 can control and count the service time, the set temperature, the actual environment temperature, the valve opening degree and the time of the connected terminal equipment. Flow control valve a1 may be opened for an angle and time. The amount of circulating water required for each time period and the required cooling and heating load can thus be measured.
The formula I is as follows: g = Q × 3600/[ t2-t1 ] X4.187 (kJ/kg. ℃) X1000 kg/m 3 ]
G-frozen water flow m3/h Q-cold load kW t 2-frozen water return temperature t 1-frozen water outlet temperature
The formula II is as follows: flow per unit time G1= cross-sectional area S1 water flow velocity v1 time h1
The data of terminal equipment in a certain area in the whole system is counted and summarized, so that the total cold and heat load quantity required by a certain time period (15 minutes/30 minutes … …) of the area can be calculated, a flow control valve A1 is arranged at a main pipeline of each floor area, and the opening angle of a valve in the time period and the circulating water flow rate in the pipeline can be measured by the flow control valve A1, so that accurate water flow and cold quantity can be calculated.
According to the requirements of the layered cold and heat loads and the flow, the total requirement of the whole building or the whole system in a certain time period can be calculated. The cold and heat loads of the tail end branch pipeline and the tail end equipment can be adjusted by driving the flow adjustment of the circulating water pump according to the total customer requirements. The refrigerating capacity of the host equipment is constant, the outlet water temperature is 7 ℃, and the adjusting accuracy of the temperature of the control tail end can be achieved according to the flow change. The water flow is regulated, and the load of the host machine is also regulated to carry out synchronous frequency conversion regulation. The host and the terminal equipment are optimally matched, the condition that the cart is pulled by a large horse is avoided, and energy consumption is saved.
The invention combines the meteorological data of the weather monitoring and forecasting center, such as temperature, wind direction, wind speed, sunshine, rainfall, radiant quantity, evaporation capacity, atmospheric pressure, dry bulb temperature, wet bulb temperature and the like. The weather forecast data issued by the national weather center can be adopted, and independent weather stations can be established in cities of various regions to correct and adjust the data for monitoring and issuing the weather.
Because the weather factors influence the change of the cold and heat load demands in the room, the weather conditions can be made into a plurality of data standard models according to types, and each data standard model is embodied according to a certain proportion K value.
Because parameters such as the running number of equipment, the running time, the temperature setting height, the wind speed, the flow rate of circulating water, the pressure, the temperature and the like in the tail end system directly influence the load requirement, the tail end system also divides the tail end running state into a plurality of data standard models according to the running state, and each data standard model is also reflected according to a certain proportion K value.
The real-time load demand of the whole user system and the tail end branch system or the user load demand of the next time period can be subjected to proportional matching multiplication with a meteorological system K1 value and a tail end real-time demand coefficient K2 value on the basis of dynamic load real-time prediction, the required load demand is adjusted, and the opening degree and the duration of a water pump flow rate, a flow control valve A1 and a warm-ventilation tail end wireless digital intelligent regulating valve A2 are adjusted to achieve accurate energy supply.
The invention discloses an air conditioning system terminal equipment cold consumption real-time prediction method, which is based on a model and adopts an improved dynamic index software model to predict the load demand of a user in the next time period in real time according to the current load of the terminal user. On the basis of the real-time prediction of the dynamic load of the air conditioner, the variable flow control of the central air conditioning system is completed, a new control mode is provided for the variable flow control of the central air conditioning system, the purpose of adjusting the load of a central air conditioning host according to the load requirement of a user is achieved, and the running energy consumption of the central air conditioner is effectively reduced.
The embodiments of the present invention are described only for the preferred embodiments of the present invention, and not for the limitation of the concept and scope of the present invention, and various modifications and improvements made to the technical solution of the present invention by those skilled in the art without departing from the design concept of the present invention shall fall into the protection scope of the present invention, and the technical content of the present invention which is claimed is fully set forth in the claims.

Claims (3)

1. The utility model provides a heating and ventilation big data economizer system which characterized in that: the system comprises a cloud service platform, the Internet, weather forecast information, a mobile phone or mobile terminal equipment/computer and a plurality of user systems, wherein the user systems are connected to an intelligent gateway through a local area network and are connected to the cloud service platform through the Internet; the cloud service platform comprises a cloud server, a computer and analysis software, wherein the analysis software has the functions of a business data layer, a data processing platform, an analysis model layer, an analysis service layer, a data display layer, an analysis early warning platform, a big data analysis platform and a pushing platform module; each of the plurality of user systems comprises a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water replenishing device, water treatment equipment, a user area small-sized weather monitoring station, a regional floor flow control valve A1, a heating and ventilating terminal wireless digital quantity intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6, a machine room data integration device A5, an intelligent gateway and a wireless local area network;
all the heating and ventilation user system data of the plurality of user systems are connected with the intelligent gateway through the local area network for interconnection, all the data are sent to the cloud server through the intelligent gateway, and users and system maintenance operators are connected to the cloud service platform through mobile phones or mobile terminal devices/computers through the internet or GPRS/wifi wireless network signals for observing, recording and managing the data;
the cloud service platform comprises a cloud server, a computer and analysis software: the analysis software has the functions of a business data layer, a data processing platform, an analysis model layer, an analysis service layer, a data display layer, an analysis early warning platform, a big data analysis platform and a pushing platform module; the data acquisition of the user system helps the user system to integrate various data, and the information is analyzed and processed according to the requirements of different functions, so that the air conditioning system of each user can be flexibly and quickly served; the system has the functions of App analysis and pushing, the data center and the analysis platform support Andriod and IOS double platforms, and early warning information and analysis data are directly checked at the mobile terminal; the integrated push function of the WeChat is set, the WeChat is seamlessly integrated, login is avoided, and the WeChat is directly notified, so that the trouble of opening the APP is avoided; the cloud server has a cloud control function, and adjusts and controls the load demand of the end user in the next time period according to the prediction information and the load demand of the end user in the system as required: the system comprises a regional floor flow control valve A1, a heating and ventilation tail end wireless digital intelligent regulating valve A2, a tail end air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6 and a machine room data integrated control device A5;
the system comprises a plurality of user systems, a variable flow system host, a variable frequency water pump, a boiler, a cooling tower, a constant pressure water replenishing device, water treatment equipment, a user area small weather monitoring station, a regional floor flow control valve A1, a heating and ventilating terminal wireless digital quantity intelligent regulating valve A2, a terminal air conditioning unit, a wireless temperature control device A3/A4, a wireless temperature control receiver A6, a machine room data integration device A5, an intelligent gateway and a wireless local area network, wherein the user systems are connected with the variable flow system host through the wireless local area network; the wireless temperature control receiver A6 is provided with a pyroelectric infrared sensing module for actively adjusting the set temperature and stopping or recovering requirements in a room; the positions of the personnel, the flowing conditions and the per-capita energy consumption are analyzed and compared, the reason of energy consumption waste is found out, and intelligent regulation, control, energy conservation and rectification are performed;
the wireless temperature control devices A3 in the user systems are connected with the intelligent gateway through a wireless local area network, and data are transmitted to the cloud service platform through the gateway; the data includes, but is not limited to: the running time, the starting time, the shutdown time, the set temperature, the ambient temperature and the running wind speed of the terminal equipment; the wireless temperature control device A4 directly transmits data to the cloud service platform through GPRS/wifi, is connected with the intelligent gateway through a wireless local area network like A3, and transmits the data to the cloud service platform through the gateway; the data includes, but is not limited to: the running time, the starting time, the shutdown time, the set temperature, the ambient temperature and the running wind speed of the terminal equipment;
the flow control valve A1 and the warm-ventilation tail end wireless digital intelligent regulating valve A2 of the user systems are connected with the intelligent gateway through a wireless local area network, and data are transmitted to the cloud service platform through the gateway; the data includes, but is not limited to: the method comprises the following steps of (1) valve operation time, opening time, closing time, valve angle information, valve angle adjustment degree, adjustment time point and operation duration; the wireless digital intelligent regulating valve A2 at the heating and ventilation tail end transmits the operation data through the wireless temperature control devices A3 and A4; the operation data of the machine room data integration device A5 is transmitted to the cloud service platform through the gateway; the data includes, but is not limited to: starting time, running time, inlet and outlet water temperature, pressure, running time of a water pump and change information of an adjusting state;
in the plurality of user systems, all the tail end equipment branches are provided with heating and ventilating tail end wireless digital quantity intelligent regulating valves A2, tail end equipment control adopts wireless temperature control devices A3 or A4, and a machine room data integrated device A5 is arranged in a machine room area; flow control valves A1 are arranged at main pipelines of each area and sub-floor needing independent control and metering; the machine room system adopts frequency conversion adjusting host equipment, the circulating water pump adopts a frequency conversion water pump, and the machine room data integration device A5 is connected with a gateway through a local area network to upload equipment running data;
the wireless temperature control receiver A6 is a system component of a wireless temperature control device A3/A4, the receiver executes corresponding actions according to instructions sent by A3/A4, controls the wind speed and start and stop of a fan, and switches and adjusts the actions of a heating and ventilation terminal wireless digital intelligent adjusting valve A2, and the wireless temperature control receiver A6 is characterized in that a pyroelectric infrared sensing module is arranged on the receiver; the pyroelectric infrared sensing module has a function of sensing and detecting human body movement signal feedback, carries out data analysis and statistics on the position and the flow condition of a person, transmits data to the cloud service platform through the wireless receivers A6 and A3/A4, the cloud service platform carries out analysis control on the acquired data, carries out production chart analysis, carries out comparative analysis on the position and the flow condition of the person and the per-capita energy consumption according to room, floor and region information, finds out the reason of energy consumption waste, and carries out intelligent regulation and correction; the pyroelectric infrared sensing module has a feedback function of sensing and detecting a human body movement signal, and if no human body is detected within a specified time, the wireless temperature control device A3/A4 automatically reduces the set temperature by 2 ℃ or a certain set value in a heating mode; in the refrigeration mode, the wireless temperature control device A3/A4 automatically increases the set temperature by 2 ℃ or a certain set value, calculates according to the set time, and adjusts to the energy-saving mode as long as the effect is accumulated within the interval time until the shutdown is met; when the energy-saving mode is continuously operated, if people are sensed, the normal set temperature is recovered to continue working.
2. The heating, ventilation and big data energy saving system according to claim 1, wherein: the small-sized weather monitoring station in the user area is also connected with the intelligent gateway through a wireless local area network, and detection data are uploaded to the cloud service platform through the gateway.
3. The heating, ventilation and big data energy saving system according to claim 1, wherein: the intelligent gateway sets a unique ID when leaving a factory, and the ID is used for identifying the gateway; different addresses are allocated to the same gateway drop device, and the addresses are used for identifying a single device under a specific gateway.
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