CN112228951A - Edge analysis control method and regional cooling and heating control system - Google Patents
Edge analysis control method and regional cooling and heating control system Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24D—DOMESTIC- OR SPACE-HEATING SYSTEMS, e.g. CENTRAL HEATING SYSTEMS; DOMESTIC HOT-WATER SUPPLY SYSTEMS; ELEMENTS OR COMPONENTS THEREFOR
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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
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/4186—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by the network communication by protocol, e.g. MAP, TOP
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Abstract
The invention discloses an edge analysis control method and a regional cooling and heating control system. Wherein the district cooling and heating system includes: an edge analysis controller, a plurality of devices, and a plurality of sensors, wherein the edge analysis controller is to: collecting operation data of the regional cooling and heating system, wherein the operation data comprises: the operation parameters of equipment in the regional cooling and heating system and the environmental parameters collected by a sensor in the regional cooling and heating system; analyzing the operation data to obtain an analysis result; and controlling equipment in the regional cooling and heating system based on the analysis result. The invention solves the technical problem of lower working efficiency of the regional cooling and heating system.
Description
Technical Field
The invention relates to the field of control, in particular to an edge analysis control method and a regional cooling and heating control system.
Background
A district energy system, also called a district cooling and heating system (DHC), is a central air-conditioning cooling and heating source system that produces cold water or hot water (steam) from professional energy stations in a centralized manner and supplies the cold water or hot water to a plurality of buildings in a certain area through a pipe network. Therefore, cold and heat source equipment is not required to be arranged in each single building, and only a pipe network is required to be built. The supplied cold and heat are generally used for refrigeration, heating, domestic hot water, production and processing, and the like. Like tap water, natural gas, electricity, DHC can also be considered a city infrastructure. For regional energy systems, it is important to reduce the operation cost, improve the energy efficiency, and improve the operation and maintenance efficiency. This puts higher demands on the intelligence, stability and safety of the automatic control system.
However, at present, the local cooling and heating system (DHC) is mainly controlled by the cloud, the control process of the local cooling and heating system is affected by network transmission, when the network transmission is unstable, the detection, analysis and control delay of the local cooling and heating system (DHC) is high, and the work efficiency of the local cooling and heating system is low.
Aiming at the problem that the work efficiency of the regional cooling and heating system is low, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides an edge analysis control method and a regional cooling and heating control system, which at least solve the technical problem of low working efficiency of the regional cooling and heating system.
According to an aspect of an embodiment of the present invention, there is provided an edge analysis control method based on a district cooling and heating system, the district cooling and heating system including: an edge analysis controller, a plurality of devices, and a plurality of sensors, wherein the edge analysis controller is to: collecting operation data of the regional cooling and heating system, wherein the operation data comprises: the operation parameters of equipment in the regional cooling and heating system and the environmental parameters collected by a sensor in the regional cooling and heating system; analyzing the operation data to obtain an analysis result; and controlling equipment in the regional cooling and heating system based on the analysis result.
Further, the devices and the sensors in the district cooling and heating system have different communication protocols, and the collecting the operation data of the district cooling and heating system comprises: data collected by devices and sensors using different communication protocols are converted into operating data of a standard protocol.
Further, analyzing the operation data to obtain an analysis result includes: and establishing structured data tables based on the operating parameters of the equipment and the environmental parameters acquired by the sensors, wherein each structured data table is used for recording the operating parameters and the environmental parameters corresponding to the same equipment.
Further, analyzing the operation data to obtain an analysis result includes: and determining the energy consumption of the regional cooling and heating system based on the operation parameters of the equipment in the regional cooling and heating system.
Further, analyzing the operation data to obtain an analysis result includes: and detecting whether equipment in the regional cooling and heating system is in fault or not based on the operation parameters of the equipment in the regional cooling and heating system and the environmental parameters acquired by the sensor.
Further, analyzing the operation data to obtain an analysis result includes: judging whether the operation parameters of equipment in the regional cooling and heating system need to be adjusted or not based on the environmental parameters acquired by the sensors in the regional cooling and heating system; controlling the equipment in the district cooling and heating system based on the analysis result includes: and under the condition that the operation parameters of the equipment in the regional cooling and heating system need to be adjusted, sending a control instruction to a network controller, wherein the network controller is used for directly controlling the equipment in the regional cooling and heating system.
According to another aspect of the embodiments of the present invention, there is also provided a district cooling and heating control system including: the collector for gather regional cooling heating system's operating data, wherein, regional cooling heating system includes: the system comprises a plurality of devices and a plurality of sensors, wherein the operation data comprises operation parameters of the devices and environment parameters collected by the sensors; and the edge analysis controller is used for analyzing the operation data to obtain an analysis result and controlling equipment in the regional cooling and heating system based on the analysis result.
Furthermore, the equipment and the sensors in the regional cooling and heating system have different communication protocols, and the collector is connected with the equipment and the sensors in the regional cooling and heating system through the network controller; the network controller is used for converting data using different communication protocols in the equipment and the sensor into operating data of a standard protocol; and transmits the operating data of the standard protocol to the edge analysis controller.
Further, the edge analysis controller is connected with equipment in the regional cooling and heating system through a network controller; the network controller is used for directly controlling equipment in the regional cooling and heating system based on a control instruction provided by the edge analysis controller.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, where the computer-readable storage medium includes a stored program, where when the program runs, a device in which the computer-readable storage medium is located is controlled to execute the above-mentioned edge analysis control method for a district-based cooling and heating system.
In the embodiment of the invention, the edge analysis controller is additionally arranged in the regional cooling and heating system, the edge analysis controller acquires the operation data of the regional cooling and heating system to obtain the operation parameters of the equipment in the regional cooling and heating system and the environmental parameters acquired by the sensor, the edge analysis controller directly analyzes the acquired operation data and controls the equipment in the regional cooling and heating system based on the analysis result, so that the equipment control process in the regional cooling and heating system can be locally carried out in the regional cooling and heating system, the control of the regional cooling and heating system is not limited by the influence of a cloud network, the purposes of carrying out low-delay detection, analysis and control on the equipment in the regional cooling and heating system are achieved, the working efficiency of the regional cooling and heating system is improved, the control precision is improved, and the technical effects of saving the energy consumption of the equipment are achieved, and then solved the lower technical problem of work efficiency of regional cooling heating system.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of an edge analysis control method based on a district cooling and heating system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an intelligent control system for district cooling and heating based on edge calculation according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a district cooling and heating control system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided an edge analysis control method for a district-based cooling and heating system, where the steps shown in the flowchart of the drawings may be executed in a computer system such as a set of computer-executable instructions, and where a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown.
Fig. 1 is a flowchart of an edge analysis control method based on a district cooling and heating system according to an embodiment of the present invention, and as shown in fig. 1, the district cooling and heating system includes: an edge analysis controller, a plurality of devices, and a plurality of sensors, wherein the edge analysis controller is configured to perform the steps of:
step S102, collecting operation data of a regional cooling and heating system, wherein the operation data comprises: the system comprises the operation parameters of equipment in the regional cooling and heating system and the environmental parameters collected by a sensor in the regional cooling and heating system;
step S104, analyzing the operation data to obtain an analysis result;
and S106, controlling equipment in the regional cooling and heating system based on the analysis result.
The technical scheme of the application claim, the edge analysis controller is added in the regional cooling and heating system, the edge analysis controller collects the operation data of the regional cooling and heating system to obtain the operation parameters of the equipment in the regional cooling and heating system and the environmental parameters collected by the sensor, the edge analysis controller directly analyzes the collected operation data and controls the equipment in the regional cooling and heating system based on the analysis result, so that the equipment control process in the regional cooling and heating system can be locally carried out in the regional cooling and heating system, the control of the regional cooling and heating system is not limited by the influence of a cloud network, the purposes of low-delay detection, analysis and control of the equipment in the regional cooling and heating system are achieved, the improvement of the working efficiency of the regional cooling and heating system is realized, and the control precision is improved, the technical effect of saving the energy consumption of equipment and further solving the technical problem of lower working efficiency of a regional cooling and heating system.
It should be noted that the district cooling and heating system can be a district energy station, and is an energy system for solving the problems of district heating, district cooling, district power supply and district energy demand.
Optionally, the edge analysis controller is a control device based on edge calculation.
It should be noted that edge computing refers to one time of being close to an object or a data source, and adopts an open platform with core capabilities of network, computing, storage and application. The edge side of the network can be any functional entity from a data source to the cloud computing center, and the physical, dynamic and intelligent service computation is provided for the end user. Unlike processing and algorithm decision making in the cloud, edge computing pushes intelligence and computation to more realistic actions, while cloud computing requires computation in the cloud, with differences in multi-source heterogeneous data processing, bandwidth load and resource waste, resource restriction and security, privacy protection, and the like.
As an alternative embodiment, after step S102, the method further includes: and carrying out data cleaning on the collected operation data through a machine learning algorithm, removing the noise value of the operation data, identifying the outlier of the operation data, and filling up the missing value of the operation data.
As an alternative embodiment, the devices and sensors in the district cooling and heating system have different communication protocols, and the collecting the operation data of the district cooling and heating system includes: data collected by devices and sensors using different communication protocols are converted into operating data of a standard protocol.
In the above embodiments of the present invention, the devices and sensors in the regional cooling and heating system may use different communication protocols to perform data transmission, and in the process of collecting the operation data, the gateway device (e.g., a network controller) connected to the devices and sensors may be used to convert data based on different communication protocols into operation data of a standard protocol by using a protocol converter in the gateway device (e.g., the network controller), so as to ensure that the data provided by the devices and sensors in the regional cooling and heating system can be collected by the edge analysis controller.
As an alternative embodiment, analyzing the operation data to obtain an analysis result includes: and establishing structured data tables based on the operating parameters of the equipment and the environmental parameters acquired by the sensors, wherein each structured data table is used for recording the operating parameters and the environmental parameters corresponding to the same equipment.
In the above embodiment of the present invention, after the operation data of the regional cooling and heating system is obtained, the operation data may be classified based on the devices, the operation data of different devices may be stored in different tables, and the ID of each device, the operation state of each device (such as the directly acquired operation parameters of the device), and the operation detection data of each device (such as the environment parameters acquired based on the sensor) may be recorded through the tables.
Optionally, the operation parameters of the device may include parameters such as power and electric quantity of the device; the environmental parameters collected by the sensor may include temperature and pressure of the heat transfer medium, among other parameters.
As an alternative embodiment, analyzing the operation data to obtain an analysis result includes: and determining the energy consumption of the regional cooling and heating system based on the operation parameters of the equipment in the regional cooling and heating system.
Optionally, the operating parameter of the device may reflect the energy consumption of the device.
As an alternative embodiment, analyzing the operation data to obtain an analysis result includes: whether equipment in the regional cooling and heating system breaks down is detected based on the operating parameters of the equipment in the regional cooling and heating system and the environmental parameters acquired by the sensor.
Optionally, whether equipment in the district cooling and heating system fails or not may be determined based on the energy consumption of the equipment detected by the operation parameters of the equipment; whether equipment in the regional cooling and heating system fails or not can be determined based on the environmental parameter detection collected by the sensor to detect whether environmental runaway is caused or not.
Alternatively, the operation data of the fault equipment (such as the operation parameters of the equipment and the environmental parameters collected by the sensors) can be accumulated, a fault analysis model of the equipment is trained by using a machine learning technology, and whether the equipment in the regional cooling and heating system is in fault or not can be automatically identified based on the fault analysis model.
As an alternative embodiment, analyzing the operation data to obtain an analysis result includes: judging whether the operation parameters of equipment in the regional cooling and heating system need to be adjusted or not based on the environmental parameters acquired by the sensors in the regional cooling and heating system; based on the analysis result, the control device in the district cooling and heating system includes: and under the condition that the operation parameters of the equipment in the regional cooling and heating system need to be adjusted are determined, sending a control instruction to a network controller, wherein the network controller is used for directly controlling the equipment in the regional cooling and heating system.
In the above embodiment of the present invention, the edge analysis controller may send a control instruction to the network controller, and the network controller directly controls the devices in the regional cooling and heating system, so that the edge analysis controller may directly control the devices in the regional cooling and heating system at the local side through the network controller.
The invention also provides a preferred embodiment, which provides an intelligent control system for regional cooling and heating based on edge calculation, the control system performs energy consumption analysis, fault detection diagnosis and equipment optimization control on the edge side close to the energy station equipment, and simultaneously, the edge analysis controller can directly return the optimized control parameters to the equipment, so that real-time and faster data processing and analysis are realized, network flow is reduced, the delay level of equipment control is reduced, equipment control is directly performed on the edge side close to the equipment, the overall working efficiency is improved, and the intercommunication and interconnection of the equipment and the system are realized.
According to the technical scheme, the edge analysis controller is arranged on the local side, so that the equipment is convenient to maintain from the perspective of local operation, data can be acquired in real time when network transmission is unstable, and the data can be stored for a longer time compared with a cloud end.
It should be noted that, for the district cooling and heating system DHC, the adoption of the district cooling and heating system DHC generally requires high average load demand density of the service area and longer energy supply time, and the district cooling and heating system DHC often requires a large amount of early investment for equipment procurement, facility construction and operation management. Therefore, the invention combines the edge calculation (namely the edge analysis controller) with the energy management, the fault detection diagnosis and the optimization control of the district cooling and heating system DHC, and ensures that the district cooling and heating system DHC has higher utilization rate, thereby ensuring the return on investment.
Fig. 2 is a schematic diagram of an intelligent control system for district cooling and heating based on edge calculation according to an embodiment of the present invention, and as shown in fig. 2, the intelligent control system for district cooling and heating based on edge calculation includes: a new system and an automatic control system of a regional energy station.
The network controller in the regional energy station automatic control system is connected with equipment such as a refrigerator, an ice tank and a boiler through communication protocols such as Modbus/BACnet/TCP/IP (transmission control protocol/Internet protocol), so that the network controller can detect operation data such as temperature and pressure based on the communication protocols such as Modbus/BACnet/TCP/IP; the fan, the water pump and other equipment in the regional cooling and heating system can be controlled based on communication protocols such as Modbus/BACnet/TCP/IP and the like; and the energy source calculation can be carried out on the operation data such as the electric quantity, the water quantity, the cold quantity and the heat quantity based on communication protocols such as Modbus/BACnet/TCP/IP.
The regional energy station automatic control system can comprise a plurality of network controllers, and data transmission is carried out among the network controllers based on a TCP/IP protocol.
Optionally, the network controller comprises: DDC controllers and PLC controllers.
Wherein, newly-built system includes: and the edge analysis controller is connected with an upper computer server in the regional energy station automatic control system through a standard protocol, and the upper computer server is connected with the plurality of network controllers.
Alternatively, in order to achieve interconnection and intercommunication between the regional cooling and heating system and the edge analysis controller, various device data (i.e. collected operation data) at the bottom layer of the regional cooling and heating system needs to be collected by the edge analysis controller.
Since different intelligent devices and sensors (i.e. devices and sensors in a district cooling and heating system) now have different communication protocols, it is important how to convert the different communication protocols into standard protocols. On the equipment side of the regional cooling and heating system, different equipment communication protocols such as Modbus/BACnet/TCP/IP are converted into a uniform TCP/IP protocol in a network control layer through a protocol converter in an intelligent gateway and a gateway locally deployed algorithm, then the protocol when the network control layer is communicated with an edge analysis controller is converted into a standard protocol, and the equipment data (namely operation data) can be collected by the edge analysis controller.
Alternatively, after the collection of the device data (i.e., the operational data) is completed, the collected device data (i.e., the operational data) may be saved to a built-in database of the controller device.
Optionally, different devices in the district cooling and heating system establish different structured data tables, and the table stores the operation state, device ID, and related operation detection data of each device.
Optionally, a python-based data cleaning script is deployed in the edge analysis controller, and the machine learning algorithm is used for identifying, removing and filling outliers, noise values and missing values of the collected devices, so as to provide data quality guarantee for further data analysis.
It should be noted that the energy consumption analysis is an important index for evaluating the operation of the district cooling and heating system DHC.
In the embodiment of the invention, based on the data collected by the self-built database in the edge analysis controller, the energy consumption data is classified according to the number of days of weather and working days, the approximate day of each day is obtained through a machine learning algorithm, and the energy consumption of each day is only compared with the approximate day; secondly, generating energy consumption baselines according to the approximate days and any days, so that the energy consumption comparison has a basis; in addition, daily energy consumption statistics is approximated, the daily energy overall level is evaluated, and energy management is quantified.
Optionally, besides energy consumption analysis, fault detection and diagnosis of equipment in the district cooling and heating system DHC are also important, and equipment and system areas lacking maintenance and debugging work generally have 15% -30% of energy consumption waste, are serious in problems, and can cause environmental runaway, equipment loss, user complaints and the like.
In the above embodiment of the present invention, based on each electromechanical subsystem and the regional heating, ventilation and air conditioning system of the regional cooling and heating system DHC, the expert rule base including the energy saving level, the equipment health degree, and the environmental comfort level lamp is continuously perfected and updated according to the common key operation parameters of the system and the equipment operation data collected at the edge side, and a detailed problem description and diagnosis reason conjecture are given for each found problem, so as to complete the equipment fault detection process.
Optionally, in addition to expert rules, the present system deploys python-based machine learning scripts within the edge analysis controller.
For example, in the LSTM neural network algorithm, a 2-class data set obtained by determining whether the device is in a fault state according to expert rules for a period of time is used for training and verifying the algorithm; this results in a model (i.e., a fault analysis model) that can determine whether a device is in a fault state based on the operational state data of the device over time.
For another example, in the GBDT algorithm model, a prediction model (i.e., a fault analysis model) that predicts whether the plant will fail in the future is obtained from the 2-class plant operation data set with continuous iterative training.
It should be noted that pattern recognition is also used in fault detection in addition to neural networks.
According to the embodiment of the invention, the most representative limit is given to 365-day operating data of a certain device in one year by clustering, and the pattern recognition method is applied to compare the matching degree of the daily operating data waveforms, so that the effect that the abnormity in any period can be sensitively recognized is achieved, and not only the comparison of the total amount is achieved. After the fault is identified, the alarm and the diagnosis suggestion are automatically sent to appointed operation and maintenance personnel through a work order system in the controller and a local area network, and the whole process of processing each problem is tracked to form a detection operation and maintenance closed loop.
The method has the advantages that the operation time delay is shortened by carrying out the optimized control of the equipment close to the edge side of the equipment in the regional cooling and heating system, and the method is also an important method for correctly controlling the running state of the operating equipment so as to ensure the efficient running of the equipment, save the energy consumption and improve the comfort level of users in the region.
In the embodiment of the invention, based on the heating ventilation air conditioning system in the occupied area energy station, the subsystems such as a refrigerating unit, a cooling tower, an ice tank, a boiler, a water pump and the like are subjected to the optimization control of the whole system linkage, parameters such as the supply water temperature of chilled water, the supply water temperature of cooling water, the number of optimal running machines of a refrigerator, the number of optimal running machines of a cooling tower, the number of optimal starting machines of a water pump, the optimal differential pressure setting of a secondary water system and the like are subjected to the learning of optimal set points based on a machine learning algorithm, a control instruction is automatically issued in an edge analysis controller through a standard communication protocol, and equipment in the area cooling and heating system is directly controlled through a network controller DDC and a PLC.
According to still another embodiment of the present invention, there is also provided a computer-readable storage medium including a stored program, where the program, when executed, controls an apparatus in which the computer-readable storage medium is located to perform the above-mentioned edge analysis control method based on a district cooling and heating system.
Fig. 3 is a schematic diagram of a district cooling and heating control system according to an embodiment of the present invention, as shown in fig. 3, including: the collector 32 is configured to collect operation data of a district cooling and heating system, where the district cooling and heating system includes: a plurality of devices and a plurality of sensors, the operational data including operational parameters of the devices and environmental parameters collected by the sensors; and the edge analysis controller 34 is configured to analyze the operation data to obtain an analysis result, and control the equipment in the district cooling and heating system based on the analysis result.
In the embodiment of the invention, the edge analysis controller is additionally arranged in the regional cooling and heating system, the edge analysis controller acquires the operation data of the regional cooling and heating system to obtain the operation parameters of the equipment in the regional cooling and heating system and the environmental parameters acquired by the sensor, the edge analysis controller directly analyzes the acquired operation data and controls the equipment in the regional cooling and heating system based on the analysis result, so that the equipment control process in the regional cooling and heating system can be locally carried out in the regional cooling and heating system, the control of the regional cooling and heating system is not limited by the influence of a cloud network, the purposes of carrying out low-delay detection, analysis and control on the equipment in the regional cooling and heating system are achieved, the working efficiency of the regional cooling and heating system is improved, the control precision is improved, and the technical effects of saving the energy consumption of the equipment are achieved, and then solved the lower technical problem of work efficiency of regional cooling heating system.
As an alternative embodiment, the devices and sensors in the district cooling and heating system have different communication protocols, and the collector is connected with the devices and sensors in the district cooling and heating system through a network controller; the network controller is used for converting data in the equipment and the sensor, which use different communication protocols, into operating data of a standard protocol; and transmitting the operating data of the standard protocol to the edge analysis controller.
As an alternative embodiment, the edge analysis controller is connected with the equipment in the district cooling and heating system through a network controller; the network controller is used for directly controlling equipment in the regional cooling and heating system based on the control instruction provided by the edge analysis controller.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. An edge analysis control method based on a regional cooling and heating system is characterized in that the regional cooling and heating system comprises the following steps: an edge analysis controller, a plurality of devices, and a plurality of sensors, wherein the edge analysis controller is to:
collecting operation data of the regional cooling and heating system, wherein the operation data comprises: the operation parameters of equipment in the regional cooling and heating system and the environmental parameters collected by a sensor in the regional cooling and heating system;
analyzing the operation data to obtain an analysis result;
and controlling equipment in the regional cooling and heating system based on the analysis result.
2. The method of claim 1, wherein the devices and sensors in the district cooling and heating system have different communication protocols, and wherein collecting operational data of the district cooling and heating system comprises:
data collected by devices and sensors using different communication protocols are converted into operating data of a standard protocol.
3. The method of claim 1, wherein analyzing the operational data to obtain an analysis result comprises:
and establishing structured data tables based on the operating parameters of the equipment and the environmental parameters acquired by the sensors, wherein each structured data table is used for recording the operating parameters and the environmental parameters corresponding to the same equipment.
4. The method of claim 1, wherein analyzing the operational data to obtain an analysis result comprises:
and determining the energy consumption of the regional cooling and heating system based on the operation parameters of the equipment in the regional cooling and heating system.
5. The method of claim 1, wherein analyzing the operational data to obtain an analysis result comprises:
and detecting whether equipment in the regional cooling and heating system is in fault or not based on the operation parameters of the equipment in the regional cooling and heating system and the environmental parameters acquired by the sensor.
6. The method of claim 1,
analyzing the operating data to obtain an analysis result, wherein the analysis result comprises the following steps: judging whether the operation parameters of equipment in the regional cooling and heating system need to be adjusted or not based on the environmental parameters acquired by the sensors in the regional cooling and heating system;
controlling the equipment in the district cooling and heating system based on the analysis result includes: and under the condition that the operation parameters of the equipment in the regional cooling and heating system need to be adjusted, sending a control instruction to a network controller, wherein the network controller is used for directly controlling the equipment in the regional cooling and heating system.
7. A district cooling and heating control system, comprising:
the collector for gather regional cooling heating system's operating data, wherein, regional cooling heating system includes: a plurality of devices and a plurality of sensors, the operational data including operational parameters of the devices and environmental parameters collected by the sensors;
and the edge analysis controller is used for analyzing the operation data to obtain an analysis result and controlling equipment in the regional cooling and heating system based on the analysis result.
8. The system of claim 7,
the equipment and the sensors in the regional cooling and heating system have different communication protocols, and the collector is connected with the equipment and the sensors in the regional cooling and heating system through the network controller;
the network controller is used for converting data in the equipment and the sensor, which use different communication protocols, into operating data of a standard protocol; and transmitting the operating data of the standard protocol to the edge analysis controller.
9. The system of claim 7,
the edge analysis controller is connected with equipment in the regional cooling and heating system through a network controller;
the network controller is used for directly controlling equipment in the regional cooling and heating system based on the control instruction provided by the edge analysis controller.
10. A computer-readable storage medium, comprising a stored program, wherein when the program runs, the computer-readable storage medium controls a device to execute the method for controlling edge analysis of a district-based cooling and heating system according to any one of claims 1 to 6.
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