WO2013040855A1

WO2013040855A1 - Cloud computing-based system and method for management and control of facility and equipment of green building

Info

Publication number: WO2013040855A1
Application number: PCT/CN2012/001125
Authority: WO
Inventors: 姜永东
Original assignee: Jiang Yongdong
Priority date: 2011-09-20
Filing date: 2012-08-22
Publication date: 2013-03-28
Also published as: CN103019158A

Abstract

Disclosed are a cloud computing-based system and method for the management and control of a facility and equipment of a green building. The system comprises: an Internet of Things onsite controller, used for setting a normal operation parameter of the facility and equipment, for the operational management and control of an operation mode of the onsite facility and equipment on the basis of the normal operation parameter, and for transmitting the normal operation parameter to a cloud computing facility and equipment management and control platform, an Internet of Things onsite data collector, used for collecting an actual operation parameter of the facility and equipment, and for transmitting to the cloud computing facility and equipment management and control platform, and the cloud computing facility and equipment management and control platform, used for adjusting an onsite operational management and control mode of the Internet of Things onsite controller for the facility and equipment on the basis of the actual operation parameter collected and the normal operation parameter set. The method is implemented by using the system. The present invention allows for compatibility with all different platforms, and for centralized management and control of multiple objects on a unified platform, thus implementing optimized configuration of operation states of the facility and equipment.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to the field of control technologies for ancillary facilities and facilities of buildings, and more particularly to a cloud computing-based green building facility equipment management control system and method. BACKGROUND OF THE INVENTION With the increase in the number of buildings worldwide, it is increasingly important to manage and control equipment in buildings, such as air conditioners, fans, elevators, and the like, as well as other facilities such as fire hydrants, alarms, and access control equipment. In the claims and the description of the present application, so-called facility equipment includes electromechanical equipment and other facilities. The facility equipment management system in the prior art generally only uses the means of analyzing the number of facilities and equipment, the nameplate information of the facility equipment, the maintenance record of the facility equipment, and the like, and performs a summary of information on the facilities and equipment of the building, and cannot be used. Automated means to collect real-time operational data and design parameters of each facility in real time. It is more difficult to achieve cross-platform and cross-system "data-free sharing between objects". It can only manually log in product parameters and operating parameters, especially It is impossible to perform real-time comparison and analysis of operational data and design parameters of various components of the facility equipment, and it is impossible to verify and predict in advance the occurrence time node of the facility equipment failure, and the degree of damage caused by the failure to the facility equipment.

Moreover, the inventors have found that the general facility management software still has the following problems:

1. When the system processes a large amount of historical data, it encounters problems that the processing speed is not fast and data protection cannot be realized;

2. The system does not comprehensively analyze and analyze the operation data of facilities and components from the aspects of design factors, use environment, usage habits, human factors, operational indicators, management system, fault benchmarks, fault performance, fault statistics, operation optimization, etc. And management control, only to provide some statistical results to the user, let the user to modify the on-site operation management control mode according to the statistical results, so that the optimal configuration of the facility equipment operation management cannot be realized. 3. It is impossible to realize real-time exchange of material and material data across platforms and systems across the building, and to realize equipment management and control across systems and functions.

Cloud computing is a network technology developed in recent years. It distributes computing tasks on resource pools composed of a large number of computers, enabling various application systems to acquire computing power, storage space, and various software services as needed. Major IT companies have launched their own cloud-based platform services, such as Google (G00GLE), Microsoft, Yahoo, Amazon, etc., summed up the following characteristics of cloud computing:

(1) Very large scale. "Cloud" is quite large. Google Cloud Computing has more than 1 million servers. The "clouds" of Amazon, IBM, Microsoft, Yahoo, etc. all have hundreds of thousands of servers. Enterprise private clouds typically have hundreds of thousands of servers, and "clouds" give users unprecedented computing power.

(2) Virtualization. Cloud computing allows users to access application services from any location using a variety of terminals. The requested resource comes from a "cloud" rather than a fixed tangible entity. used for

Somewhere in the "cloud", but in fact the user does not need to know, and do not have to worry about the specific location of the application. With just one laptop or one phone, you can do everything we need through web services, even tasks like supercomputing.

(3) High reliability. "Cloud" uses measures such as data multi-copy fault tolerance and compute node isomorphism to ensure high reliability of services. Cloud computing is more reliable than using local computers.

(4) Universality. Cloud computing is not targeted at specific applications. With the support of "cloud", it can construct ever-changing applications. The same "cloud" can support different application operations at the same time.

(5) High scalability. The scale of the "cloud" can be dynamically scaled to meet the needs of application and user growth.

(6) On-demand service. "Cloud" is a huge pool of resources that you can buy on demand; clouds can be billed like tap water, electricity, and gas.

(7) Extremely cheap. Because the special fault-tolerant measures of "cloud" can use extremely cheap nodes to form a cloud, the automated centralized management of "cloud" enables a large number of enterprises to not have to bear the increasing cost of data center management. The versatility of "cloud" makes resource utilization Compared with the traditional system, users can fully enjoy the low cost advantage of "cloud", often only a few hundred dollars, a few days to complete the previous tens of thousands of dollars, months to complete (8) Internet of Things technology is a reliable guarantee for cloud computing to realize cross-platform exchange of field device data. Its essential meaning is "things and objects connected, intercommunication, and data sharing".

(9) The core and foundation of "Internet of Things technology" is still "Internet technology", which is a network technology that extends and expands on the basis of Internet technology; its client extends and extends between any items and items. Information exchange and communication. Therefore, the definition of IoT technology is: through the information sensing device such as radio frequency identification (RFID), infrared sensor, global positioning system, laser scanner, etc., connect any item to the Internet according to the agreed agreement, exchange information and Communication, a network technology that intelligently identifies, locates, tracks, monitors, and manages.

(10) Internet of Things means that it will be everywhere

(Ubiquitous) end devices (Devices) and facilities (Faciities), including sensors with "intrinsic intelligence", mobile terminals, industrial systems, CNC systems, home intelligence devices, video surveillance systems, etc., and "external enablement"" (Enabled), such as RFID-attached assets (A _{S Se} ts ), individuals and vehicles carrying wireless terminals, etc. "smart parts or animals" or "smart dust" (Mote), through various wireless And/or wired long-haul and/or short-range communication networks for interoperability (M2M), application integration (Grand Integration), and cloud-based SaaS operations, etc.

(Intranet), private network (Extranet), and / or Internet (Internet) environment, using appropriate information security mechanisms to provide secure, controllable or even personalized real-time online monitoring, location and traceability, alarm linkage, scheduling command, plan Management and service functions such as management, remote control, security, remote maintenance, online upgrade, statistical reporting, decision support, and leadership of the desktop (Cockpit Dashboard), to achieve "efficient, energy-saving, safe, environmentally friendly""The integration of management, control, and camping." SUMMARY OF THE INVENTION In order to solve the above problems of the prior art, an object of the present invention is to provide a cloud computing-based green building facility equipment management control system and method, which can be compatible with facility equipment management platforms of all different manufacturers, under a unified platform. A large number of objects are centrally operated to control the operation and operation of facilities and equipment, to achieve maximum operational optimization management, fault prediction and networked automatic control, so as to achieve optimal configuration of facility equipment operation and management, and achieve better operational results. In order to achieve the above object, the present invention provides a cloud computing-based facility equipment management and control platform, including: an Internet of Things field controller for setting normal operating parameters of the facility equipment, according to the normality of the facility equipment The operation parameters perform on-site operation management and control on the operation mode of the facility equipment, and transmit the normal operation parameters of the facility equipment to the cloud computing facility equipment management and control platform; the Internet of Things field data collection instrument is used to collect the The actual operating parameters of the facility equipment are transmitted to the cloud computing facility equipment management and control platform; the cloud computing facility equipment management and control platform is configured to use the actual operating parameters of the facility equipment collected by the Internet of Things field data collector And adjusting a field operation management and control mode of the facility equipment by the Internet of Things field controller by using normal operation parameters of the facility equipment set by the Internet of Things field controller.

Preferably, the cloud computing facility device management and control platform specifically includes: a receiving unit, configured to receive actual operating parameters of the facility equipment collected by the Internet of Things field data collection device and control the site through the Internet of Things The first operation unit is configured to determine whether the actual operation parameter of the facility device matches the normal operation parameter of the facility device and generate a determination result; the operation model generation unit, And generating, when the judgment result of the first judging unit is a match, an operation model of the corresponding facility equipment according to design parameters of each building, design parameters of the facility equipment, and actual operation parameters of the facility equipment; a historical operation model of the storage facility device and a design parameter of each building, and a design parameter of the facility device; a second determining unit, configured to determine whether the generated running model matches a historical running model of the corresponding facility device in the database And generate judgment results; control mode adjustment Means for, when the determination result of the first determining unit or the second determination unit to adjust the IOT controller field site management and operation control mode of the facility does not match the device.

Preferably, the actual operating parameters of the facility equipment include pressure, flow, vibration frequency, vibration acceleration, operating temperature, wear amount, current, voltage, power, speed, and leakage rate.

Preferably, the historical operation model of the corresponding facility equipment in the database refers to a historical operation model of the facility equipment whose operation constraint parameter matches the generated operation model, and the operation constraint parameter includes application environment parameters of each facility equipment, One or a combination of design parameters, application location type parameters, and actual operational type parameters. In the database There are various historical operation models that conform to industry standards (design standards, manufacturer facilities and equipment design parameters, etc.). These historical operation models consider evaluation criteria such as energy consumption benchmarks, efficiency benchmarks, performance benchmarks, etc., and their operating modes are relatively reasonable. The establishment of the historical operation model is usually restricted by the normal operation parameters of the set facilities and equipment. The set operation parameters of the facilities and equipment are different, and the corresponding historical operation models are different. The application environment parameters of each facility include geographic location, meteorological parameters, etc. The design parameters of the facility equipment include design operation parameters, design power, design energy efficiency, etc. The application site type parameters of the facility equipment include shopping malls, supermarkets, hotels, office buildings, Exhibition halls, computer rooms, industrial plants, residential buildings, national grids, etc. The fault parameter of each facility equipment refers to the limit value of the real-time operating parameters collected when the facility equipment fails. Of course, there are other operational constraint parameters, such as control mode.

In order to achieve the above object, the present invention further provides a cloud computing-based facility equipment management control method, including: S11: performing on-site operation management and control of the facility equipment according to normal operation parameters of the facility equipment set by a user And transmitting the normal operating parameters set by the user to the cloud computing facility device management and control platform;

S12: collecting actual operating parameters of the facility equipment and transmitting to the cloud computing facility equipment management and control platform;

S13: Adjust the on-site operation management and control mode of each of the facility devices according to the actual operation parameters of the facility equipment and the set normal operation parameters of the facility equipment under the cloud computing facility equipment management and control platform.

Preferably, the step S13 specifically includes:

S131: determining whether the collected actual operating parameters of the facility equipment and the set normal operation parameters of the facility equipment match; if not, performing step S135, if yes, performing step S132;

S132: generating an operation model of the corresponding facility equipment according to design parameters of each building, design parameters of the facility equipment, and actual operating parameters of the facility equipment;

S133: determining whether the generated running model matches a historical running model of a corresponding facility device in the database; if not, performing step S135; if matching, performing step S134: maintaining on-site operation management of each of the facility devices and Control mode

S135: Adjust the on-site operation management and control mode for each of the facility facilities. Further, preferably, after performing the step S134, the method further includes the step S136; adding the generated running model to the database.

Preferably, the historical operation model of the corresponding facility equipment in the database refers to a historical operation model of the facility equipment whose operation constraint parameter matches the generated operation model, and the operation constraint parameter includes application environment parameters of each facility equipment, One or a combination of design parameters, application location type parameters, and actual operational type parameters.

Advantageously, the actual operational parameters of the facility equipment are communicated to the cloud computing facility equipment management and control platform via any of a wireless internet network, a wired internet network, a GPRS, a Beidou system, a GPS, a 3G or a 4G network.

The invention has the beneficial effects that, by being compatible with the facility equipment management and control platform of all different manufacturers, centralized operation management control is performed on a plurality of objects under a unified platform, thereby realizing maximum predictive facility equipment failure and network automatic adjustment. Control, so as to achieve the optimal configuration of the facilities and equipment, to achieve better facility equipment management and maintenance. BRIEF DESCRIPTION OF DRAWINGS FIG. 1 is a schematic structural diagram of a cloud computing-based green building facility equipment management control system according to an embodiment of the present invention;

2 is a flow chart of a cloud computing-based green building facility equipment management control method according to an embodiment of the present invention;

3 is a flow chart of a cloud computing-based green building facility equipment management control method according to another embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a schematic structural diagram of a cloud computing-based green building facility equipment management control system according to an embodiment of the present invention, and a schematic diagram of a cloud computing-based green building facility equipment management control system of the present invention includes: The Internet of Things field controller 11 is configured to perform on-site operation management and control of each facility device 10 according to normal operating parameters of the facility equipment set by the user, and transmit the set normal operation parameters to the cloud computing facility equipment management and control platform. 13; The Internet of Things field controller 11 includes a user parameter setting unit 111, and the user can set normal operating parameters of the facility equipment 10. And when the design parameters of the building or the design parameters of the facility equipment are input into the database of the facility equipment management and control platform 13 of the cloud computing green building, the user parameter setting unit 111 of the Internet of Things field controller 11 may also input the building. Design parameters and design parameters of facilities and equipment, such as nameplate information. For example, if the facility equipment is an air conditioner, the user sets the operation state of the air conditioner, the air volume parameter, the water quantity parameter, the corresponding spare parts function parameter, etc. according to the requirements, and transmits the set normal operation parameters to the cloud computing facility equipment management and control platform. 13. The Internet of Things field controller 11 used in this embodiment is a controller developed by using the Internet of Things technology, and has a unique IP address, which can be in one-to-one correspondence with on-site facilities and equipment, and is used for analyzing the operation of facilities and equipment on site. And control, and use IoT technology to realize real-time interaction of data between devices and facilities across platforms and systems.

The IoT field data collector 12 is configured to collect actual operating parameters of each facility device 10 and transmit it to the cloud computing facility device management and control platform 13; the actual operating parameters of the facility device 10 include pressure, flow, vibration frequency, and vibration acceleration. , operating temperature, wear, current, voltage, power, speed and leak rate. For electromechanical equipment, the current, voltage, power and speed of the motor are parameters that must be measured. For the rotating parts, the vibration acceleration, operating temperature and wear amount need to be monitored in real time. The pressure, flow and leakage rate of the liquid also need real-time. monitor. The cloud computing facility equipment management and control platform 13 needs to monitor these actual operational parameters to determine whether each facility equipment is in a normal operating state in order to adjust its field operations management and control modes.

The Internet of Things on-site data acquisition instrument 12 is generally used for various types of sensing devices with network transmission functions, with certain data statistics, data analysis, data aggregation, and data upload functions, and completes data collection and preliminary statistical analysis functions. The model number and actual number are set as needed, and there may be many IoT field data collectors12. In this embodiment, the Internet of Things field data collection device 12 is a field acquisition device developed by using the Internet of Things technology and has a unique IP address. The sensor may be a variety of temperature sensors, liquid leakage sensors, air volume sensors, torque sensors, rotational speed sensors, wind speed sensors, micro-acceleration sensors, etc. for measuring the health of the field facility equipment. The collected facilities and equipment 10 The actual operating parameters are transmitted to the cloud computing facility equipment management and control platform through the communication network.

13, wherein the communication network can be a wireless Internet network, a wired Internet network, a GPRS, a Beidou system, a GPS and a 3G network, or a more advanced next-generation transmission network (4G).

The cloud computing facility equipment management and control platform 13 is configured to adjust, according to the collected actual operating parameters of the respective facility equipment 10 and the normal operating parameters set by the user, the Internet of Things field controller to the respective facility equipment Field operation management and control mode. The purpose of the adjustment is to achieve optimal configuration of the normal operation of the facility equipment, reduce the failure rate, reduce maintenance costs, ensure that the facility equipment is in optimal operation, and so on. The cloud computing facility equipment management and control platform 13 of this embodiment specifically includes:

The receiving unit 131 is configured to receive actual operating parameters of each facility device 10 collected by the Internet of Things field data collector 12 and normal operating parameters of the facility device 10 set by the user through the Internet of Things field controller 12;

The first determining unit 132 is configured to determine whether the collected actual operating parameters of the facility device 10 match the normal operating parameters of the facility device 10 set by the user, and generate a determination result;

The operation model generating unit 133 is configured to: when the determination result of the first determining unit 132 is a match, according to actual operating parameters of the respective facility devices 10, design parameters of the respective buildings, and design parameters of the facility equipment Generate the appropriate run model.

The database 130 is configured to store a historical operation model of various facility devices 10; the database has various historical operation models of facilities and equipment that conform to industry standards (such as design standards, manufacturer design parameters of facilities and equipment, etc.) and related specifications, The standard operating model agrees or recognizes the optimal operational model. These historical operational models consider the evaluation criteria such as functional benchmarking, efficiency benchmarking, and performance benchmarking. The operating state is relatively reasonable.

The second determining unit 134 is configured to determine whether the generated running model matches the historical running model of the corresponding facility equipment in the database 130 and generate a judgment result; the establishment of the historical running model of the facility equipment is usually restricted by the running constraint parameter. The running operation parameters are different for the corresponding facility equipment. The operation constraint parameter includes one or a combination of application environment parameters, design parameters, component design parameters, application site type parameters, and actual operation type parameters of the respective facility equipment, and other constraint parameters (such as a control optimization mode). ) The combination. The application environment parameters of each facility include geographic location, meteorological parameters, etc. The design parameters include operating conditions, design power, Measuring range, design energy efficiency, etc., application site type parameters include shopping malls, supermarkets, hotels, office buildings, exhibition halls, computer rooms, industrial plants, residential buildings, national power grids, and the like. The user inputs the running constraint parameters of the currently generated running model through the running constraint parameter setting unit 14, and then finds a corresponding historical running model in the database 130 according to the running constraint parameters (ie, the running constraint parameters match the generated running model) Historical running model), then judge whether the relevant parameters in the generated running model match the set normal working parameters. If the matching does not indicate that the facility equipment is running unreasonably, it needs to be adjusted. For example, the generated running model per unit time facility equipment vibration acceleration requirement 1000g, (the unit is consistent with the unit of gravity acceleration, which is meters per second square), but if it is less than or greater than 10% of the set value, the facility can be inferred. The equipment is not operating properly, either resonating, or excessive wear of the parts, or eccentricity, requires adjustment of the facility equipment.

The control mode adjusting unit 135 is configured to adjust the on-site operation management and control of the facility equipment by the Internet of Things field controller 11 when the determination result of the first determining unit 132 or the second determining unit 134 is not matched. mode. Mismatch indicates that the operating status does not meet the requirements. The field operation management and control mode needs to be adjusted to ensure that the facility equipment is operating normally until the optimal operating point is matched, thus achieving optimal configuration of the operating conditions. When the determination result of the first determining unit 132 is a mismatch, it indicates that the operation cannot meet the requirement of the target set by the user, and the adjustment needs to be directly performed; when the judgment result of the second determining unit 134 is not matched, the description is Although the operating status can meet the user setting requirements, it is not optimal. It does not consider the evaluation criteria such as function benchmarking, efficiency benchmarking, performance benchmarking, etc. It is necessary to adjust to further optimize the operating state. If the determination result of the second determining unit 134 is a match, indicating that the generated running model is reasonably compliant, the adjusted running model is added to the database to enrich the historical data. Provide reference for subsequent operation management and control.

Of course, there are many control modes for controlling the Internet of Things field controller 11 by the cloud computing facility equipment management and control platform. The above embodiment only gives one of them.

For the convenience of the user, the cloud computing-based green building facility equipment management control system of the embodiment can be made into an intuitive display interface, and the user only needs to manage and control through the display interface.

The advantages of using cloud computing facility equipment management and control platform for facility equipment management and control are obvious. The scale and scalability of cloud computing make ultra-large-scale energy consumption. Centralized control can be realized. In theory, it can realize the management and control of any kind of facilities and equipment on a global scale, including the operation management and control of various electromechanical facilities and equipment in the building, etc., and the application scope is wider; the virtualization of cloud computing The characteristics of each user to manage and control the operation and operation of facilities and equipment do not need to be separately configured with independent operation management and control platform, but are obtained on demand in the "cloud", which greatly reduces the cost; the characteristics of cloud computing resource sharing make the whole control The historical data in the platform is very rich, and it can match the best historical data as a reference to achieve optimal configuration of facility equipment operation. By being compatible with the facility equipment management and control platform of all different manufacturers, the invention centrally performs operation and management control on a plurality of objects under a unified platform, thereby realizing the maximum expected facility equipment failure and network automatic adjustment control, thereby realizing the facility. Optimized configuration of equipment health to achieve better facility equipment management and maintenance.

The cloud computing-based green building facility equipment management control system of this embodiment performs the management control process as follows:

1. Complete the detection sensor and data information through the on-site facility equipment layer. The on-site facility equipment layer includes: Internet of Things field data acquisition instrument 12 (generally various types of sensors) and IoT field controller 11 with unique IP address, Internet of Things The on-site data acquisition instrument 12 mainly completes the collection of various types of signals, and the Internet of Things field control instrument 11 mainly performs on-site operation management and control of the corresponding facilities and equipment.

All signals are directly connected to the IP network through the IoT switch (IoT switch definition one - using IoT technology to convert conventional electrical signals into TCP/IP signals, directly implementing conventional electrical signal sensors and also interacting signals and data across platforms). A database of acquisition, storage, statistics, and analysis of signals transmitted to the cloud computing facility equipment management and control platform via the internet (wireless or wired).

The design parameters of the building and the design parameters of the facilities and equipment used in the building are registered through the cloud computing platform, and the entered information enters the collection, storage, statistics, analysis and model database of the facility equipment information of the cloud computing facility equipment management and control platform.

The whole system architecture is based on Ethernet (Lan/WLan), using TCP/IP protocol, cloud computing facility equipment management and control platform can be controlled by OBIX, SNMP, XML and other on-site control facilities, such as IoT field controllers and objects. The networked field data collector communicates and obtains data. Mainly get the following data:

♦ Various detailed status, fault, operation, etc. of the control point ♦ Alarm summary

♦ Operation status of equipment and facilities and equipment obtained by flow sensor, speed sensor, acceleration sensor, vibration sensor, etc.

♦ Design parameters of the building and design parameters of the building's facilities and equipment

The following is a practical description of the operation and control methods of the chillers commonly used in buildings:

In the operation and management requirements of the unit, the parameters of the cooling water and chilled water in the running chiller should be in the following range:

The pressure difference between the inlet and outlet of the chilled water is 0. 1-0. 15 Mpa, the temperature difference between the inlet and outlet water is 4_5 ° C, and the pressure difference between the inlet and outlet of the cooling water is between 0.1 and 0.5 Mpa;

The temperature difference between the inlet and outlet of the cooling water is 4-5 ° C, the outlet temperature of the cooling water is less than 47 ° F (8.5 ° C), the maximum pressure of the cooling water system must not exceed 1. 3 Mpa, the maximum pressure of the cooling water system must not exceed 0. 4 Mpa.

After the chiller is running normally, the operation data of the chiller unit can be collected by different IoT data collectors, and compared with the database to determine whether it meets the following normal operation requirements:

(1) The temperature of the fuel tank should be between 140 and 150 ° F. Otherwise, the temperature warning will be made, and the alarm information will be automatically displayed in the corresponding link of the equipment management and control platform of the cloud computing facility, and correspondingly controlled by the corresponding Internet of Things controller. Temperature regulation and control.

(2) The bearing return temperature should be between 150 and 175 ° F. When the IoT data acquisition instrument collects the bearing return temperature is normal, the cloud computing facility equipment management and control platform will send out control signals to make the corresponding Internet of Things. The controller stops heating the oil heater. When the return oil temperature of the bearing return temperature is normal, the cloud computing facility equipment management and control platform will send a control signal to enable the corresponding IoT controller to turn on the corresponding oil heater.

(3) The reading displayed by the control center oil pressure gauge should be between 138 and 172 kPa. When the IoT data acquisition instrument collects the differential pressure too little, the cloud computing facility equipment management and control platform will issue several possible and corresponding automated pipelines and control measures: the pipeline leakage, countermeasures: Automatically check for leaks and plugging leaks;

Insufficient oil volume in the storage tank, countermeasures; automatic refueling;

The oil pump speed is too low, the countermeasures: adjust the oil pump speed increase;

Water leaks to the fuel tank, countermeasures: change the oil; Poor oil quality, response measures: Change oil.

When the cloud computing facility equipment management and control platform judges that the data of the IoT oil pressure collector is too high, it will issue several possible and corresponding automated pipelines and control measures:

Pipeline blockage, countermeasures: an automatic through pipe;

The oil in the storage tank is too full, and the countermeasures: One automatic draining is reasonable;

The oil pump speed is too high, the countermeasures: Adjust the oil pump speed to decrease.

The control of other parameters is similar to the control of oil pressure. When the parameter value is judged by the cloud computing facility equipment management and control platform, once it exceeds the normal range, the corresponding automatic management and control commands are directly given through the background database to make the on-site object The networked controller performs corresponding control and adjustment. Among them, other parameters that need to be monitored are as follows:

(4) The pressure of the condenser varies with the design conditions of the main unit, and the range is generally between 0 and 76 kpa.

(5) The outlet temperature of the condenser In most applications, the water temperature should not be lower than 65 ° F.

(6) The pressure of the evaporator is also different depending on the design conditions of the main unit, and the range is generally between -51 and -18 hg vacuum.

(7) The inlet temperature of the evaporator should not be higher than 32 °C, and it should not be higher than 38 °C. The outlet water temperature is different depending on the design conditions of the main engine. "Comfort" The air conditioning water temperature is generally set at 9-7. C, not lower than 5 ° C, evaporation temperature 5 - 2 ° C, not lower than 0 ° C.

(8) The value of the non-condensable air eliminator pressure should be half of the evaporator and condenser pressure.

Other safety protection measures, protective shutdown: When the data of the IoT on-site data acquisition instrument is analyzed by the cloud computing facility equipment management and control platform, when the refrigeration unit is found to have too low evaporating pressure, oil pressure in the tank, and chilled water The effluent temperature is too low, the voltage is too low, the cooling water is short, the chilled water is out of water, the main motor temperature is too high, the condensing pressure is too high, the exhaust temperature is too high, and so on. The cloud computing facility equipment management and control platform will make alarms through the network. And issued a command to the on-site IoT controller to achieve automatic shutdown. After the fault is automatically processed and eliminated, the power can be reset.

In addition, the data at the time of the failure enters the historical database model at the same time as the next analysis reference value. Second, through the control and analysis layer to achieve data analysis and related control

The field level controller performs on-site level control of the corresponding facilities and equipment according to the detection signal and the user's target setting parameters, and uploads various types of signals to the collection of facilities and equipment information of the cloud computing facility equipment management and control platform. Store, count, and analyze databases.

Cloud computing facilities equipment management and control platform cloud computing facilities equipment management and control platform model algorithms are many types, mainly divided into periodic algorithms and event triggering algorithms, which include: algebraic calculation, total value calculation, facility equipment running time , Boolean Boolean operations, data integration, piecewise linear functions, maximum and minimum records, etc., event triggering algorithms include: report tasks and display events, site group control, regional or group alarms, alarms of combined structures, etc. When using, select an algorithm according to specific needs and establish a control model.

FIG. 2 is a flowchart of a cloud computing-based green building facility device management control method according to an embodiment of the present invention, the method comprising:

S11: Perform on-site operation management and control on each facility equipment according to normal operation parameters of the facility equipment set by the user, and transmit the normal operation parameters set by the user to the cloud computing facility equipment management and control platform, where the normal The operating parameters are set by the IoT field controller.

S12: collecting actual operating parameters of the respective facility equipment and transmitting to the cloud computing facility equipment management and control platform; wherein the actual operating parameters generally refer to real-time operating parameters of various facilities directly collected by various types of sensors, including pressure , flow rate, vibration frequency, vibration acceleration, operating temperature, wear amount, current, voltage, power, speed and leakage rate. The actual operating parameters of the various facilities and equipment are transmitted to the cloud computing facility equipment management and control platform through any one of a wireless internet network, a wired internet network, a GPRS, a 3G, and a 4G network.

S13: Under the cloud computing green building management and control platform, adjust the on-site operation management and control mode of each facility equipment according to the actual operating parameters of the collected facilities and the normal operating parameters set by the user.

Due to the use of cloud computing facility equipment management and control platform for operational state management control, the scale and scalability of cloud computing makes it possible to achieve centralized control of ultra-large-scale energy consumption. In theory, it can realize any kind of globally. Facilities and equipment management control, including building facilities equipment operation management control, etc., a wider range of applications; cloud computing The characteristics of virtualization enable each user to perform operational management control without separately configuring separate facilities and equipment management and control platforms, but on-demand in the "cloud", which greatly reduces the cost; the characteristics of cloud computing resource sharing make the whole The historical data in the control platform is very rich, and it can match the best historical data as a reference to achieve optimal energy allocation.

FIG. 3 is a flowchart of a cloud computing-based green building facility device management control method according to another embodiment of the present invention, where the method is based on the cloud computing-based operation management control method shown in FIG. The step S13 specifically includes:

S131: determining whether the collected actual operating parameters of the facility equipment and the normal running parameters set by the user match; if not, performing step S135, if matching, performing step S132;

S133: determining whether the generated running model matches a historical running model of a corresponding facility device in the database; if not, performing step S135; if matching, performing step S134: maintaining on-site operation management of each of the facility devices and a control mode; a historical operation model of a corresponding facility device in the database refers to a historical operation model of a facility device whose operation constraint parameter matches the generated operation model, where the operation constraint parameter includes an application environment of each facility device One or a combination of parameters, design parameters, application location type parameters, and actual operational type parameters.

S135: Adjust a field operation management and control mode for each of the facility facilities. After the step S134 is performed, the method further includes the step S136, and the corresponding running model is generated according to the actual running parameter of the facility equipment, and the historical data is enriched to provide reference for subsequent management control.

For a more detailed introduction, please refer to the description in the above cloud computing-based facility equipment management and control platform embodiment.

The method of the embodiment is based on the cloud computing-based green building facility equipment management control method shown in FIG. 2, and specifically how to adjust the object under the cloud computing-based green building facility equipment management control system. The method for the on-site operation management and control mode of the networked site controller for the various facilities and equipments fully utilizes the rich historical features of the cloud computing green building facility equipment management control system, and further optimizes the operation model. The above embodiments are merely exemplary embodiments of the invention, and are not intended to limit the invention, the scope of the invention is defined by the appended claims. A person skilled in the art can make various modifications or equivalents to the invention within the spirit and scope of the invention, and such modifications or equivalents are also considered to be within the scope of the invention.

Claims

Rights request

1. A cloud computing-based green building facility equipment management control system, characterized by comprising:

An Internet of Things field controller for setting normal operation parameters of the facility equipment, performing on-site operation management and control on an operation mode of the facility equipment according to normal operation parameters of the facility equipment, and The normal operation parameters are transmitted to the cloud computing facility equipment management and control platform;

An Internet of Things field data acquisition device for collecting actual operating parameters of the facility equipment and transmitting it to a cloud computing facility equipment management and control platform;

a cloud computing facility equipment management and control platform, configured to: calculate actual operating parameters of the facility equipment collected by the Internet of Things field data collector, and normality of the facility equipment set by the Internet of Things field controller The operating parameters adjust the on-site operation management and control mode of the facility equipment by the Internet of Things field controller.

The cloud computing-based green building facility equipment management control system according to claim 1, wherein the cloud computing facility equipment management and control platform specifically comprises: a receiving unit, configured to receive the Internet of Things field data The actual operating parameters of the facility equipment collected by the collecting instrument and the normal operating parameters of the facility equipment set by the Internet of Things field controller;

a first determining unit, configured to determine whether an actual operating parameter of the facility device matches a normal operating parameter of the facility device, and generate a determination result;

The operation model generating unit is configured to generate, according to the design parameters of each building, the design parameters of the facility equipment, and the actual operating parameters of the facility equipment, the operation of the corresponding facility equipment when the judgment result of the first judging unit is matched Model

a database, a historical operation model for storing facilities and equipment, design parameters of each building, and design parameters of facilities and equipment;

a second determining unit, configured to determine whether the generated running model matches a historical running model of the corresponding facility equipment in the database, and generates a judgment result;

And a control mode adjusting unit, configured to adjust a field operation management and control mode of the facility network device by the Internet of Things field controller when the determination result of the first determining unit or the second determining unit is a mismatch.

The cloud computing-based green building facility equipment management control system according to claim 1 or 2, wherein the actual operating parameters of the facility equipment include pressure, flow rate, vibration frequency, vibration acceleration, operating temperature, and wear. Volume, current, voltage, power, speed and leak rate.

The cloud computing-based green building facility equipment management control system according to claim 2, wherein the historical operation model of the corresponding facility equipment in the database refers to the operation constraint parameter matching the generated operation model. The historical operation model of the facility equipment, the operation constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an actual operation type parameter of each facility device.

5. A cloud computing-based green building facility equipment management control method, characterized in that:

S11: Perform on-site operation management and control on the facility equipment according to normal operation parameters of the facility equipment set by the user, and transmit the normal operation parameters set by the user to the cloud computing facility equipment management and control platform;

The cloud computing-based green building facility equipment management and control method according to claim 5, wherein the step S13 specifically includes:

S135: Adjust the on-site operation management and control mode for each of the facility facilities.

The cloud computing-based green building facility equipment management control method according to claim 6, wherein after performing the step S134, the method further includes the step S136: adding the generated running model to the database .

8. The cloud computing-based green building facility equipment management control method according to claim 6, wherein the historical operation model of the corresponding facility equipment in the database refers to a facility in which the operation constraint parameter matches the generated operation model. The historical running model of the device, the running constraint parameter includes one or a combination of an application environment parameter, a design parameter, an application site type parameter, and an actual running type parameter of each facility device.

The cloud computing-based green building facility equipment management control method according to claim 5 or 6, wherein the actual operating parameters of the facility equipment include pressure, flow rate, vibration frequency, vibration acceleration, operating temperature, wear amount, Current, voltage, power, speed and leak rate.

The cloud computing-based green building facility equipment management control method according to claim 5 or 6, wherein the actual operating parameters of the facility equipment are through a wireless internet network, a wired internet network, a GPRS, a Beidou system, Any of the GPS, 3G, 4G networks are transmitted to the cloud computing facility device management and control platform.