CN114909781A - Building equipment intelligent group control system based on windows - Google Patents
Building equipment intelligent group control system based on windows Download PDFInfo
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- CN114909781A CN114909781A CN202210566318.0A CN202210566318A CN114909781A CN 114909781 A CN114909781 A CN 114909781A CN 202210566318 A CN202210566318 A CN 202210566318A CN 114909781 A CN114909781 A CN 114909781A
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses a windows-based intelligent group control system for building equipment, and relates to the technical field of intelligent control of building equipment systems. The cloud background system acquires an execution command from the front-end interaction system and sends the execution command to the server hardware system, and the server hardware system performs correlation processing on the execution command to control the tail-end equipment or the cold and heat source equipment to change the working state. The invention realizes the informationization, automation and real-time optimization of energy-saving operation of the central air-conditioning system by providing the central air-conditioning intelligent group control system integrating control, optimization, equipment performance tracking and energy efficiency audit, reduces the labor intensity of operators, and improves the air-conditioning service quality and the system operation maintenance level.
Description
Technical Field
The invention belongs to the technical field of intelligent control domains of building equipment systems, and particularly relates to a windows-based intelligent group control system for building equipment.
Background
The building equipment system comprises a security system, an access control system, an elevator system, a central air conditioning system and the like, and is a necessary equipment system cluster in areas such as office buildings. The central air conditioning system is different from the traditional refrigerant type air conditioning, intensively processes air to meet the comfort requirement, and adopts the principle of liquid gasification refrigeration to provide required cold energy for the air conditioning system so as to offset the heat load of the indoor environment; the heating system provides the air conditioning system with the required heat to offset the cold and heat load of indoor environment, and the central air conditioning group control connects all the controllable devices to the central control center through network, and grasps the various data in operation through the various sensing elements arranged in the space, the air conditioning device and the pipeline.
In the prior art, based on a DDC (direct digital control system), programming and debugging are complicated, time and labor are wasted, the cost is high, a solidified group control logic is easy to lose efficacy, and an energy-saving optimization control logic is lacked.
Disclosure of Invention
The invention aims to provide a windows-based building equipment intelligent group control system, which solves the technical problems of complex programming and debugging, time and labor waste, high cost, easy failure of solidified group control logic and lack of energy-saving optimization control logic in the prior art based on a DDC (direct digital control system).
In order to achieve the purpose, the invention is realized by the following technical scheme:
a windows-based intelligent building equipment group control system comprises a server hardware system, a cloud background system and a front-end interaction system, wherein the server hardware system is connected with a terminal device and a cold and heat source device, the cloud background system is connected with the server hardware system and the front-end interaction system, the cloud background system acquires an execution command from the front-end interaction system and sends the execution command to the server hardware system, the server hardware system carries out correlation processing on the execution command to control the terminal device or the cold and heat source device to change the working state, and the cloud background system acquires device data change parameters from the server hardware system and processes the data change parameters to send the data change parameters to the front-end interaction system.
Optionally, the cloud background system establishes a performance model for the end device and the cold and heat source device, calculates various performance indexes of the device on line, tracks COP performance changes of the device, and compares performance differences of devices of the same type.
Optionally, the cloud background system reasonably arranges the work plan of each device according to the performance difference of the end device and the cold and heat source device and the system load requirement.
Optionally, the server hardware system monitors, diagnoses and records the operation states of the end device and the cold and heat source device, and provides the data parameters of the device operation for the cloud background system.
Optionally, the server hardware system tracks performance changes of the end device and the cold and heat source device in real time, sends the performance changes to the cloud background system, and the cloud background system draws a curve according to the performance changes and sends the curve to the front-end interaction system.
Optionally, the end device includes an AHU air handling unit, an FCU fan control unit, and a PAU pre-cooling air conditioning cabinet, and the cold and heat source device includes a chiller, a water pump, a cooling tower, and an electric valve.
Optionally, the server hardware system establishes a load response model for different areas of the end device, automatically detects a load change mode of each typical area, and finally summarizes the demand information.
Optionally, the end device and the cold and heat source device are connected with an automatic control system, and the automatic control system is connected with a DDC, an IO module, a sensor and a transmitter.
Optionally, the cloud background system accurately estimates the real-time and future loads of the end equipment, and predicts the time-by-time loads within 24 hours or longer in the future by combining the environment temperature and humidity, the building thermal response characteristics, the end equipment temperature distribution, the working period and the future weather change data.
Optionally, the cloud background system performs online tracking, calculating and analyzing on the working efficiency of the server hardware system and the front-end interaction system, assists in analyzing various factors affecting the system efficiency, and switches the working mode according to the calculation result.
The embodiment of the invention has the following beneficial effects:
an embodiment of the invention provides a windows-based intelligent group control system for building equipment, which integrates control, optimization, equipment performance tracking and energy efficiency auditing, and particularly discloses an intelligent group control system for a central air conditioner, so that informatization, automation and real-time optimization energy-saving operation of the central air conditioner system are realized, the labor intensity of operators is reduced, the air conditioner service quality and the system operation maintenance level are improved, and the energy consumption cost of the central air conditioner is further reduced.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is an architecture diagram of an intelligent group control system for building equipment according to an embodiment of the present invention;
FIG. 2 is an architecture diagram of an EMS system according to an embodiment of the present invention;
FIG. 3 is a flow chart of load prediction according to an embodiment of the present invention;
FIG. 4 is a flow chart of the operation mode adjustment according to an embodiment of the present invention;
fig. 5 is a variable air volume control diagram according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
To maintain the following description of the embodiments of the present invention clear and concise, a detailed description of known functions and known components of the invention have been omitted.
Referring to fig. 1 to 5, in the present embodiment, an intelligent group control system for windows-based building equipment is provided, and specifically, an intelligent group control system for central air conditioners is described, including: the server hardware system is connected with a terminal device and a cold and heat source device, the server hardware is used for carrying out integrated control on the terminal device and the cold and heat source device, cooling and heating information on a demand side is fed back to an operation optimization module on a supply side in real time, so that the control of the cold and heat source device and the control of the terminal device are not separated any more, the operation is coordinated and unified, the cloud background system is connected with the server hardware system and the front-end interaction system, the cloud background system acquires an execution command from the front-end interaction system and sends the execution command to the server hardware system, the server hardware system carries out association processing on the execution command to control the terminal device or the cold and heat source device to change the working state, the cloud background system acquires device data change parameters from the server hardware system and processes the data change parameters to send to the front-end interaction system, the front-end interaction system is used for displaying a cloud background system interface and controlling a server hardware system.
The application of one aspect of the embodiment is as follows: the method comprises the steps that a server hardware system tracks parameter setting of various devices, the operation combination of the devices and the start-stop time of the devices are arranged, fine energy-saving space at each position of an air-conditioning system is fully excavated, a cloud background system automatically generates a high-quality user interface according to data of the server hardware system and sends the user interface to a front-end interaction system, the cloud background system automatically processes most faults of a central air-conditioning system, meanwhile, a simulation model is built in the cloud background system, the problem of minimization of energy consumption of the system is solved by means of the simulation model, the system is operated according to an optimal scheme, and finally a user uses the front-end interaction system to operate and control the user interface.
By providing the intelligent group control system of the central air conditioner, which integrates control, optimization, equipment performance tracking and energy efficiency auditing, the informatization, automation and real-time optimization of the central air conditioning system are realized, the labor intensity of operators is reduced, the air conditioner service quality and the system operation maintenance level are improved, and the energy consumption cost of the central air conditioner is further reduced.
As shown in fig. 4, the cloud background system of this embodiment establishes a performance model for the end device and the cold and heat source device, calculates various performance indexes of the device on line, tracks COP performance changes of the device, and compares performance differences of devices of the same type. The cloud background system reasonably arranges the working plan of each device according to the performance difference of the terminal device and the cold and heat source device and the system load requirement, can select more suitable devices to be put into operation during operation planning, reduces the device operation loss, saves the energy consumption cost, provides data support for the operation maintenance of the air conditioner host and the heat exchanger unit by continuously tracking the performance change of the devices, changes the traditional regular and equal device maintenance mode (prolonging the maintenance period of the devices with good conditions, overhauling and maintaining the devices with poor conditions in advance, and discriminating the invalid or tiny maintenance behaviors through data), and improves the pertinence and the effectiveness of the device operation and maintenance.
As shown in fig. 1, the server hardware system of this embodiment monitors, diagnoses, and records the operation states of the end devices and the cold and heat source devices, provides data parameters of device operation to the cloud background system, finds and eliminates faults in early stage, notifies and maintains the faults in time, provides various data of equipment operation, enables a manager to accurately master the operation state of the system, greatly improves the operation efficiency of the equipment, the running loss of the equipment is basically the same through the equipment running time balance optimization control strategy, the running time of the equipment is greatly shortened, the load is lightened, the maintenance and replacement cost of the equipment is reduced, taking the pump group as an example, after the system performs time balance optimization control on a plurality of water pumps, the running time of each water pump can be ensured to be basically the same, the condition that serious loss occurs due to the long running time of a certain water pump is avoided, and the phenomenon that a certain water pump is not operated for a long time and rusted is also avoided; the pump set of the freezing water pump is monitored in a centralized mode through a network communication technology, the integrated operation of starting and stopping of the water pump and host linkage is achieved, the number of started water pumps is automatically adjusted according to predicted load, the frequency of the freezing pump is intelligently adjusted according to an advanced composite control algorithm formed by taking temperature difference as an adjusting parameter and taking pressure difference as guarantee, the set value of the temperature difference can be intelligently adjusted and optimized in a self-learning intelligent and dynamic mode according to supply and demand balance of tail end cold and heat, the consumed power consumption of the water pump is enabled to be the lowest, and the best energy-saving effect is achieved. The server hardware system tracks the performance changes of the tail end equipment and the cold and heat source equipment in real time and sends the performance changes to the cloud background system, the cloud background system draws a curve according to the performance changes and sends the curve to the front end interaction system, the real-time performance curve of the equipment is also used as necessary input of a planning engine, meanwhile, maintenance suggestions are given to the equipment with obviously degraded performance, and the optimization of the running efficiency of the whole system is achieved. The cloud background system is connected with an intelligent regulation and control system, the intelligent regulation and control system starts work after acquiring an execution command from the front-end interaction system, and by combining data information in the cloud background system and the server hardware system, intelligent automatic regulation and control are carried out according to the system running state, the equipment running power, the running time and the load change, and work handover of fault equipment is controlled in time according to equipment fault data, so that greater loss caused by fault work of the equipment is reduced, manual regulation or intelligent regulation can be carried out on the regulation of the system and the equipment according to needs through the intelligent regulation and control system, and the intelligent automatic control function of the intelligent group control system is realized.
As shown in fig. 1, the terminal equipment of this embodiment includes an AHU air handling unit, an FCU fan control unit, and a PAU pre-cooling air conditioning cabinet, and the cold and heat source equipment includes a chiller, a water pump, a cooling tower, and an electric valve. The server hardware system establishes load response models aiming at different areas of the terminal equipment, automatically detects the load change mode of each typical area, finally summarizes the demand information, and the server hardware is developed based on windows to realize the functions of multi-protocol access equipment, real-time optimization control and data storage. The tail end equipment and the cold and heat source equipment are connected with an automatic control system, and the automatic control system is connected with a DDC (direct digital control), an IO (input/output) module, a sensor and a transmitter.
As shown in fig. 3, the cloud background system of this embodiment accurately estimates real-time and future loads of the end device, and predicts a time-by-time load in a future 24 hour or longer period by combining environmental temperature and humidity, building thermal response characteristics, end device temperature distribution, working period, and future weather change data, where the future weather change data can be obtained through weather forecast, and predicts load usage in each period in the future 24-72 hours of the building in advance, and performs reasonable operation planning on the whole system device, and by planning reasonable operation of the heating and ventilation machine room in advance, on one hand, unreasonable start and stop of the device are avoided (a conventional control strategy is directed at an instantaneous value, a temperature difference is greatly increased, and a temperature difference is reduced), and on the other hand, energy consumption cost can be saved by selecting a high-efficiency device for use.
As shown in fig. 4, the cloud background system of this embodiment performs online tracking calculation analysis on the work efficiency of the server hardware system and the front-end interaction system, assists in analyzing various factors that affect the system efficiency, and switches the work mode according to the calculation result, so that the entire system always works at the optimal energy efficiency level, and the cloud background system establishes a performance model for the air-cooled heat pump and the heat exchanger unit by using a machine learning method.
Example 1: the energy-saving space of the optimization technology not only depends on accurate estimation of load, reasonable distribution of refrigeration/heat and efficiency difference detection of different equipment and different working conditions, but also needs a dynamic programming engine which can solve a mixed integer programming problem containing integer variables such as equipment start and stop and the like and continuous variables such as water temperature set points and frequency set points, the dynamic programming engine firstly generates a plurality of alternative operation schemes (relating to the start and stop and working points of each equipment in a future 24-hour or longer time period) according to the equipment connection relation and operation constraints, sends the alternative operation schemes to a simulation model to solve the operation energy consumption, output power, temperature and flow change of a water system and the temperature change of a tail end of the central air-conditioning system under the scheme, then iteratively updates the current scheme set according to the calculation result and sends the updated current scheme set to the simulation system again for comparison, the optimization method is repeated until an optimal scheme is obtained, and the optimization range and the energy efficiency of the whole system are greatly improved.
Example 2: the unified management of cloud backstage system includes website management, equipment management, data management, relevant engineering management etc. provides whole fortune dimension support platform and gathers and save complete energy consumption information in real time, and cloud backstage system includes energy management system, and energy management system adopts the distributed architecture, divide into the four layers: the system comprises a field acquisition layer, a data processing layer, a core service layer and an application layer, wherein the four layers are connected together through a communication network, the metering function of the field acquisition layer is not influenced by the communication network, and the safety and the reliability of the system are ensured, as shown in figure 2, the field acquisition layer comprises: the acquisition equipment of the project consists of an intelligent instrument and a communication gateway, has a network communication function, and transmits measured value and semaphore information upwards through a communication network; a data processing layer: the energy management system has the characteristics of numerous devices, inconsistent interfaces, large data volume and long time effectiveness, and in order to ensure the integrity of data, the energy management system comprises an independent data acquisition/verification service and a real-time database of independent intellectual property rights, wherein the data acquisition/verification service is a link for linking the core service and the field data of the energy management system, and is responsible for receiving the real-time data of a communication gateway and verifying the validity of the data, then storing the received data into the real-time database, and the real-time database is responsible for compressing, storing and caching the real-time data and providing a historical data query interface; a core service layer: the energy management system is composed of most core services of an energy management system, and comprises a plurality of core functions such as energy model management, data analysis processing, alarm information processing, an energy consumption analysis engine, report service and the like; an application layer: the system mainly takes charge of displaying information, and comprises a real-time monitoring terminal and a Web browsing client, wherein the real-time monitoring terminal displays the whole system information in a configuration mode in real time to graphically display the energy utilization information and prompt alarm information in real time, and the Web browsing client mainly provides real-time/historical energy utilization information and management decision support information for a user in a report mode.
Example 3: the cloud background system solves an optimal operation scheme plan which takes into account factors such as equipment performance difference, terminal load change, energy price fluctuation and the like in a short time according to load prediction, the system average energy consumption cost of the optimization scheme, and the cloud background system is adaptive to the field real-time working condition, is adaptive to setting the water outlet temperature of a heat pump (or a heat exchange unit), adding and subtracting a host, adjusting the frequency of a water pump and a fresh air machine on the basis of reliable operation, is subjected to full-time optimization control of the whole system, and automatically finds available equipment operation combinations according to the real-time operation state of the equipment by analyzing the topological relation among system equipment, so that fault-tolerant control is realized, and the availability of the system is greatly improved.
Example 4: the system carries out upper computer centralized monitoring and effective management on the fresh air machines/air conditioning boxes distributed in each floor area of the building, as shown in fig. 5, according to the requirements of each area on indoor environment temperature and humidity or CO2, the fresh air machines are managed in a centralized manner, the indoor air environment temperature, humidity, CO2, VOC, formaldehyde and PM2.5 data are effectively collected, the rotating speed of the fans, the opening degree of water valves and the opening degree of return air valves are intelligently adjusted according to the indoor environment control requirements, and the fresh air volume, the circulating air volume and the water flow are adjusted according to needs, so that the indoor environment of each area is in a comfortable and healthy range, and the waste of energy efficiency is effectively avoided.
The above embodiments may be combined with each other. The above embodiments are only preferred embodiments of the present invention, and the scope of the present invention should not be limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are intended to be covered by the claims. Those skilled in the art should consider the scope of the present invention to simply replace some hardware devices of the intelligent cluster control system of central air conditioner in the intelligent cluster control system of building equipment in the above embodiments, such as replacing with only a camera in the security system.
Claims (10)
1. The utility model provides a building equipment intelligence group control system based on windows which characterized in that includes: the cloud background system acquires an execution command from the front-end interaction system and sends the execution command to the server hardware system, the server hardware system performs correlation processing on the execution command to control the tail-end device or the cold and heat source device to change the working state, and the cloud background system acquires device data change parameters from the server hardware system and processes the data change parameters to send the data change parameters to the front-end interaction system.
2. The windows-based intelligent group control system for building equipment as claimed in claim 1, wherein the cloud background system builds performance models for the end equipment and the cold and heat source equipment, calculates various performance indexes of the equipment on line, tracks COP performance changes of the equipment, and compares performance differences of the same type of equipment.
3. The windows-based intelligent group control system for building equipment as claimed in claim 2, wherein the cloud background system is configured to arrange the working plans of the equipment according to the performance differences of the end equipment and the cold and heat source equipment and the system load requirements.
4. The windows-based intelligent group control system for building equipment as claimed in claim 1, wherein the server hardware system monitors, diagnoses and records the operation states of the end equipment and the cold and heat source equipment, and provides data parameters of the equipment operation to the cloud background system.
5. The windows-based intelligent group control system for building equipment as claimed in claim 4, wherein the server hardware system tracks the performance changes of the end equipment and the cold and heat source equipment in real time and sends the performance changes to the cloud background system, and the cloud background system draws a curve according to the performance changes and sends the curve to the front-end interactive system.
6. The windows-based intelligent group control system for building equipment as claimed in claim 1, wherein the end equipment comprises an AHU air handling unit, an FCU fan control unit, and a PAU pre-cooling air conditioning cabinet, and the cold and heat source equipment comprises a chiller, a water pump, a cooling tower, and an electric valve.
7. The windows-based intelligent group control system for building equipment as claimed in claim 6, wherein the server hardware system establishes load response models for different areas of the end device, automatically detects load change patterns of each typical area, and finally summarizes the demand information.
8. The windows-based intelligent group control system for building equipment as claimed in claim 6, wherein the end equipment and the cold and heat source equipment are connected with an automatic control system, and the automatic control system is connected with a DDC, an IO module, a sensor and a transmitter.
9. The windows-based intelligent group control system for building equipment as claimed in claim 1, wherein the cloud background system makes an accurate estimate of the real-time and future loads of the end-point equipment, and predicts the time-by-time loads in the future 24 hours or longer period by combining the ambient temperature and humidity, the building thermal response characteristics, the end-point equipment temperature distribution, the working period, and the future weather change data.
10. The windows-based intelligent group control system for building equipment as claimed in claim 1, wherein the cloud background system performs online tracking calculation analysis on the working efficiency of the server hardware system and the front-end interactive system, assists in analyzing various factors affecting the system efficiency, and switches the working mode according to the calculation result.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116629775A (en) * | 2023-04-20 | 2023-08-22 | 公安县茂业建材有限公司 | Intelligent production control system for assembled building materials based on Internet of things technology |
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