CN116025993A - Air conditioning unit operation management system and management method - Google Patents
Air conditioning unit operation management system and management method Download PDFInfo
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Abstract
The invention provides an air conditioning unit operation management system and a management method, wherein the air conditioning unit operation management system comprises: the invention is based on the creation of the digital twin model of the air conditioning unit, the operation parameters of the air conditioning unit corresponding to the digital twin body are obtained through deep convolution neural network mining, the accurate data mapping from the entity space of the air conditioning unit to the data space is realized, the accurate maintenance management scheme is generated based on the data mapping result (namely the simulation analysis result) of the entity of the air conditioning unit, the problem can be found and the operation management measures are taken without depending on-site user complaints or regular inspection, the corresponding speed of fault processing is effectively improved, the energy consumption is reduced, and the reliability of the operation of the air conditioning unit is improved.
Description
Technical Field
The invention relates to the technical field of air conditioning unit operation monitoring and management, in particular to an air conditioning unit operation management system and an air conditioning unit operation management method.
Background
If a traditional machine room air conditioning unit fails, the traditional machine room air conditioning unit can be checked and found in a targeted manner usually by on-site user complaints or regular inspection, and because the air conditioning unit has the characteristics of complex functional structure, variable operation working conditions and the like, the traditional manual management method has the defects of monitoring lag and inefficient management, the operation condition of the machine room air conditioning unit cannot be known and mastered in time, the safety and reliability of the machine room air conditioning unit cannot be ensured, the efficiency of the machine room air conditioning unit is greatly reduced, the safe operation of equipment in the machine room can be influenced, the comfort of the air conditioner is sacrificed, and the great waste of energy and resources can be caused.
Aiming at the defects of the traditional manual air conditioning unit operation management mode in the prior art, the skilled person always searches for a solution.
Disclosure of Invention
The invention aims to provide an air conditioning unit operation management system and an air conditioning unit operation management method, which are used for solving the problems of insufficient management and control capability, low timeliness of daily maintenance and high energy consumption in the prior art by adopting manual operation management of an air conditioning unit.
In order to solve the above technical problems, the present invention provides an operation management system of an air conditioning unit, the operation management system of an air conditioning unit includes:
the digital twin model creation module is used for creating a digital twin model of the air conditioning unit;
the data collection module is used for acquiring and storing historical operation data and real-time monitoring operation data of the air conditioning unit;
the operation parameter acquisition module is used for inputting the historical operation data and the operation data monitored in real time into the trained deep convolutional neural network so as to obtain the operation parameters of the digital twin model of the air conditioning unit;
the simulation analysis module is used for inputting the operation parameters of the digital twin model into the digital twin model for simulation analysis so as to obtain simulation analysis results;
and the operation management module is used for generating a processing work order according to the simulation analysis result and carrying out corresponding operation management on the air conditioning unit based on the processing work order.
Optionally, in the air conditioning unit operation management system, the data collection module includes:
the real-time monitoring module is used for monitoring the operation time length, the operation current, the operation frequency, the air supply temperature and the air supply humidity of the air conditioning unit;
and the data storage module is used for receiving and storing the result data, the emergency maintenance data, the daily maintenance data and the daily inspection data monitored by the real-time monitoring module.
Optionally, in the air conditioning unit operation management system, the operation management module includes:
the processing work order generating unit is used for generating a corresponding processing work order based on the working condition grade of the air conditioner set in the simulation analysis result, and the processing work order is as follows: an emergency maintenance work order, a maintenance work order or a daily inspection work order;
the mobile terminal is used for receiving and displaying the processing work order, acquiring the position of the air conditioning unit corresponding to the processing work order, the technical parameters of the air conditioning unit and the data stored by the data storage module based on the digital twin model, and feeding the processed data back to the data storage module for storage.
Optionally, in the air conditioning unit operation management system, the operation management module further includes: and the intelligent control unit is used for regulating and controlling the number of air conditioner operation units and the air conditioner operation temperature based on the working condition grade of the air conditioner unit in the simulation analysis result so as to stably meet the current space temperature setting requirement.
Optionally, in the air conditioning unit operation management system, the method further includes: the display module is respectively connected with the digital twin model creation module, the data collection module, the operation parameter acquisition module, the simulation analysis module and the operation management module so as to display the related data information of each module.
Optionally, in the operation management system of an air conditioning unit, the formula of the operation parameters of the digital twin model of the air conditioning unit is:
wherein X represents the digital twin model operation parameter of the air conditioning unit, p j The j-th layer weight of the deep neural network is represented, and N represents the network layer number of the deep neural network.
The invention also provides an operation management method of the air conditioning unit, which comprises the following steps:
creating a digital twin model of the air conditioning unit;
acquiring and storing historical operation data and real-time monitored operation data of an air conditioning unit;
inputting the historical operation data and the operation data monitored in real time into a trained deep convolutional neural network to obtain operation parameters of a digital twin model of an air conditioning unit;
inputting the operation parameters of the digital twin model into the digital twin model for simulation analysis to obtain simulation analysis results;
and generating a processing work order according to the simulation analysis result, and carrying out corresponding operation management on the air conditioning unit based on the processing work order.
Optionally, in the air conditioning unit operation management method, the acquiring and storing historical operation data and real-time monitored operation data of the air conditioning unit includes:
acquiring and storing real-time monitored operation data of an air conditioning unit, wherein the real-time monitored operation data comprises: monitoring the operation time, the operation current, the operation frequency, the air supply temperature and the air supply humidity of the air conditioning unit;
and receiving and storing historical operation data consisting of result data, emergency maintenance data, daily maintenance data and daily inspection data monitored by the real-time monitoring module.
Optionally, in the air conditioning unit operation management method, the generating a processing work order according to the simulation analysis result includes:
acquiring the working condition grade of the air conditioning unit in the simulation analysis result; the working condition grades comprise a first grade, a second grade, a third grade and a fourth grade, and the working conditions corresponding to the air conditioning units respectively are as follows: the working condition is better, the working condition is general, the working condition is worse, and the working condition is worse;
generating a corresponding treatment work order based on the working condition grade of the air conditioning unit; wherein, the processing work order is: no processing work order, daily inspection work order, maintenance work order or emergency maintenance work order is needed, corresponding to the working condition grade of one grade, two grade, three grade and four grade respectively.
Optionally, in the air conditioning unit operation management method, the inputting the historical operation data and the operation data monitored in real time into the trained deep convolutional neural network to obtain the operation parameters of the digital twin model of the air conditioning unit includes:
the method comprises the steps that a CONCAT fusion method is adopted for obtaining fusion characteristics of historical operation data and real-time monitoring operation data of an air conditioning unit;
and inputting the fusion characteristics into a trained deep convolutional neural network to obtain the operation parameters of the digital twin model of the air conditioning unit.
According to the air conditioning unit operation management system and the air conditioning unit operation management method, simulation analysis is carried out on the air conditioning unit entity based on the digital twin model of the air conditioning unit, and feedback maintenance management is carried out on the air conditioning unit based on the simulation analysis result, because the simulation analysis result is based on the air conditioning unit operation data acquired in real time, the operation parameters of the air conditioning unit corresponding to the digital twin body are obtained through deep convolutional neural network mining, accurate data mapping (namely simulation analysis process) from the entity space to the data space of the air conditioning unit is achieved, the operation result of the digital twin body can accurately reflect the operation state of the air conditioning unit entity, further more accurate decision can be provided for follow-up operation and maintenance of the air conditioning unit entity, on-site user complaints or periodic inspection can be found out, and operation management measures are adopted, accordingly, the corresponding speed of fault processing is effectively improved, energy consumption is reduced, and the reliability of operation of the air conditioning unit is improved.
Drawings
The foregoing and other objects, features and advantages of the disclosure will be apparent from the following more particular descriptions of exemplary embodiments of the disclosure as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts throughout the exemplary embodiments of the disclosure.
FIG. 1 is a schematic diagram of an air conditioning unit operation management system in accordance with an embodiment of the present invention;
fig. 2 is a flowchart of an operation management method of an air conditioning unit according to an embodiment of the present invention.
In the figure:
10-a digital twin model creation module; 20-a data collection module; 21-a real-time monitoring module; 22-a data storage module; 30, an operation parameter acquisition module; 40-a simulation analysis module; 50-running a management module; 51-a processing work order generation unit; 52-a mobile terminal; 53-an intelligent control unit; 60-display module.
Detailed Description
The air conditioning unit operation management system and the management method provided by the invention are further described in detail below with reference to the accompanying drawings and specific embodiments. Advantages and features of the invention will become more apparent from the following description and from the claims. It should be noted that the drawings are in a very simplified form and are all to a non-precise scale, merely for convenience and clarity in aiding in the description of embodiments of the invention.
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that, the illustrations provided in the present embodiment merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complex.
Certain terms are used throughout the description and claims to refer to particular system components. As will be appreciated by those skilled in the art, different companies may refer to a component by different names. It is not intended herein to distinguish between components that differ in name but not function. In the description and claims, the terms "comprising" and "including" are used in an open-ended fashion, and thus should be interpreted to mean "including, but not limited to …".
As used in this application and in the claims, the terms "a," "an," "the," and/or "the" are not specific to the singular, but may include the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
In addition, each embodiment of the following description has one or more features, respectively, which does not mean that the inventor must implement all features of any embodiment at the same time, or that only some or all of the features of different embodiments can be implemented separately. In other words, those skilled in the art can implement some or all of the features of any one embodiment or a combination of some or all of the features of multiple embodiments selectively, depending on the design specifications or implementation requirements, thereby increasing the flexibility of the implementation of the invention where implemented as possible.
The present invention will be further described with reference to the drawings for the purpose of making the objects and features of the present invention more comprehensible, however, the present invention can be embodied in various forms and should not be construed as limited to the embodiments set forth herein.
Fig. 1 is a schematic diagram of an operation management system of an air conditioning unit according to the present invention. As shown in fig. 1, the air conditioning unit operation management system includes: the system comprises a digital twin model creation module 10, a data collection module 20, an operation parameter acquisition module 30, a simulation analysis module 40 and an operation management module 50; wherein, the digital twin model creation module 10 is used for creating a digital twin model of the air conditioning unit; the data collection module 20 is used for acquiring and storing historical operation data and real-time monitoring operation data of the air conditioning unit; the operation parameter obtaining module 30 is configured to input the historical operation data and the operation data monitored in real time into a trained deep convolutional neural network, so as to obtain operation parameters of a digital twin model of the air conditioning unit; the simulation analysis module 40 is configured to input the operation parameters of the digital twin model into the digital twin model for performing simulation analysis, so as to obtain a simulation analysis result; the operation management module 50 is configured to generate a processing work order according to the simulation analysis result, and perform corresponding operation management on the air conditioning unit based on the processing work order. The invention carries out simulation analysis on the entity of the air conditioner unit based on the digital twin model of the air conditioner unit, and carries out feedback maintenance management on the air conditioner unit based on the simulation analysis result, thereby being capable of providing more accurate decision for the subsequent operation and maintenance of the entity of the air conditioner unit.
The operation parameters of the digital twin model of the air conditioning unit are as follows:
wherein X represents the number of the air conditioning unitOperating parameters of twin model, p j The j-th layer weight of the deep neural network is represented, and N represents the network layer number of the deep neural network. The operation parameters of the air conditioning unit corresponding to the digital twin body are obtained through deep learning technology mining, so that accurate data mapping from the entity space to the data space is realized, the operation result of the digital twin body can accurately reflect the operation state of the air conditioning unit entity, and an accurate maintenance management scheme is generated.
Specifically, each sub-module in the air conditioning unit operation management system is described in detail, where the data collection module 20 includes: a real-time monitoring module 21 and a data storage module 22; the real-time monitoring module 21 is configured to monitor an operation time length, an operation current, an operation frequency, an air supply temperature and an air supply humidity of the air conditioning unit, and record parameter formulas of real-time monitored operation data of the air conditioning unit are as follows:
Q T ＝f(T t ,E t ,R t ,T t ,H t )
wherein Q is T For the real-time monitoring operation data of the air conditioning unit, T t For the operation time length of the air conditioning unit E t R is the running current of the air conditioning unit t For the operating frequency of the air conditioning unit, T t Air supply temperature H of air conditioning unit t The air supply humidity of the air conditioning unit.
The data storage module 22 is configured to receive and store result data, emergency maintenance data, daily maintenance data, and daily inspection data monitored by the real-time monitoring module 21. It can be understood that the monitoring parameters of the air conditioning unit obtained by the real-time monitoring module 21 are actually obtained based on collection of equipment terminals such as an air conditioning unit sensor, an air supply temperature sensor, an air supply humidity sensor and a controller, which are arranged at the air conditioning unit end, each equipment terminal establishes communication connection with the internet of things platform based on the MQTT protocol, the collected data are reported to the internet of things platform, and the internet of things platform forwards the received data to the data storage module 22 (equivalent to a server) for storage.
In this embodiment, the historical operation data of the air conditioning unit includes: the operation data of the real-time monitoring of the air conditioning unit are recorded by the data record of the emergency maintenance module, the daily maintenance module and the daily inspection module, and the parameter recording formula is as follows:
Q L ＝f(Q T ,V l ,M l ,P l )
wherein Q is L For historical operation data of air conditioning unit, Q T For the real-time monitoring operation data of the air conditioning unit, V l For emergency maintenance data, M l To maintain data daily, P l Is daily inspection data.
With continued reference to fig. 1, the operation management module 50 includes: the processing work order generating unit 51 is configured to generate a corresponding processing work order based on the working condition level of the air conditioning unit in the simulation analysis result, where the processing work order is: an emergency maintenance work order, a maintenance work order or a daily inspection work order; the mobile terminal 52 is configured to receive and display the processing worksheet, acquire, based on the digital twin model, a location of an air conditioning unit corresponding to the processing worksheet, technical parameters of the air conditioning unit, and data stored in the data storage module 22, and feed back the processed data to the data storage module 22 for storage; the intelligent control unit 53 is configured to regulate the number of air-conditioning operation units and the air-conditioning operation temperature based on the operation condition level of the air-conditioning unit in the simulation analysis result, so as to stably meet the current space temperature setting requirement, thereby realizing intelligent control on the air-conditioning unit. According to the condition that the processing work orders are generated according to the simulation analysis result, the air conditioning unit corresponding to the processing work orders is operated and managed, an operation management strategy or plan is automatically generated, the processing work orders recorded with fault information and maintenance suggestions are sent to the mobile terminal of maintenance personnel, manual inspection for finding of problems and formulation of the problems are not needed, the maintenance personnel directly conduct fault processing work to the corresponding air conditioning unit sites based on the received processing work orders, the corresponding speed of fault processing is improved, energy consumption is reduced, and the reliability of operation of the air conditioning unit is improved.
Specifically, the working condition grades of the air conditioning unit comprise a first grade, a second grade, a third grade and a fourth grade, and the corresponding conditions of the working condition grade and the type of the processing work order of the air conditioning unit are as follows:
the working condition grade is as follows: working condition of air conditioning unit is better- > handle work order: without treatment of work orders (i.e. normal operation without taking any measures)
The working condition grade is two-stage: working condition of air conditioning unit generally- > process work order: daily inspection work sheet (namely, the current air conditioning unit needs to be added into the daily inspection flow)
The working condition grade is three-stage: slightly worse working condition of air conditioning unit- > processing work order: maintenance work orders (namely, the current air conditioning unit needs to increase maintenance frequency and is added into maintenance plans)
The working condition grade is four grades: poor working condition of space unit- > processing work order: emergency maintenance worksheets (namely, the current air conditioning unit has serious problems, the current air conditioning unit needs to be closed, the air conditioning unit with the working condition grade of one level in the same space is started, and the number of air conditioning operation units and the air conditioning operation temperature in the air conditioning unit are regulated so as to stably meet the setting requirement of the current space temperature).
The intelligent control of the air conditioning units is realized by monitoring the working state data (corresponding to historical operation data and real-time monitoring operation data) of each air conditioning unit in the building and setting corresponding control parameters (corresponding to corresponding operation management of the air conditioning units based on the treatment worksheets, wherein the treatment worksheets can relate to related maintenance or inspection management schemes and the like).
Further, the operation management system of the air conditioning unit further includes a display module 60, which is respectively connected with the digital twin model creation module 10, the data collection module 20, the operation parameter acquisition module 30, the simulation analysis module 40 and the operation management module 50, so as to display the related data information of each module, thereby intuitively obtaining the data acquisition information and the processing information of each module and the digital twin model of the air conditioning unit on the display interface in real time.
Accordingly, please refer to fig. 2, which is a flowchart of a method for managing air conditioning unit operation in the present embodiment. As shown in fig. 2, the present embodiment further provides an operation management method of an air conditioning unit. The operation management method of the air conditioning unit according to the present embodiment is described in detail below with reference to fig. 1 and 2.
First, step S1 is performed to create a digital twin model of the air conditioning unit.
Step S2 is executed to acquire and store historical operation data and real-time monitoring operation data of the air conditioning unit; the step S2 specifically includes:
s21: acquiring and storing real-time monitored operation data of an air conditioning unit, wherein the real-time monitored operation data comprises: monitoring the operation time, the operation current, the operation frequency, the air supply temperature and the air supply humidity of the air conditioning unit;
s22: receiving and storing historical operation data composed of result data, emergency maintenance data, daily maintenance data and daily inspection data monitored by the real-time monitoring module 21;
and then, executing step S3, and inputting the historical operation data and the operation data monitored in real time into a trained deep convolutional neural network to obtain the operation parameters of the digital twin model of the air conditioning unit.
And then, executing step S4, and inputting the operation parameters of the digital twin model into the digital twin model for simulation analysis so as to obtain simulation analysis results.
Specifically, step S4 includes the steps of:
s41: historical operating data Q of air conditioning unit L And real-time monitored operating data Q T The CONCAT fusion method is adopted to obtain a fusion characteristic Z, and the fusion characteristic Z is recorded as: z= [ Q ] T ,Q L ]。
S42: and inputting the fusion characteristic Z into a trained deep convolution neural network to obtain the operation parameters of the digital twin model of the air conditioning unit. The operation parameters of the air conditioning unit corresponding to the digital twin body are obtained through deep learning technology mining, so that accurate data mapping from the entity space to the data space is realized, the operation result of the digital twin body can accurately reflect the operation state of the air conditioning unit entity, and an accurate maintenance management scheme is generated.
And then, executing step S5, generating a processing work order according to the simulation analysis result, and carrying out corresponding operation management on the air conditioning unit based on the processing work order.
Specifically, the generating the processing worksheet according to the simulation analysis result includes:
s51: acquiring the working condition grade of the air conditioning unit in the simulation analysis result; the working condition grades comprise a first grade, a second grade, a third grade and a fourth grade, and the working conditions corresponding to the air conditioning units respectively are as follows: the working condition is better, the working condition is general, the working condition is worse, and the working condition is worse;
s52: generating a corresponding treatment work order based on the working condition grade of the air conditioning unit; wherein, the processing work order is: no processing work order, daily inspection work order, maintenance work order or emergency maintenance work order is needed, corresponding to the working condition grade of one grade, two grade, three grade and four grade respectively.
When the working condition level of the air conditioning unit is four, the current air conditioning unit is firstly closed, the air conditioning unit with the working condition level of one level in the same space is started, and the number of air conditioning operation units and the air conditioning operation temperature in the air conditioning unit are regulated so as to stably meet the setting requirement of the current space temperature.
Specifically, performing corresponding operation management on the air conditioning unit based on the processing worksheet comprises: and sending the processing work order to a mobile terminal of a maintenance worker, and managing the operation of the air conditioning unit corresponding to the processing work order by the maintenance worker according to the received processing work order. The method comprises the steps of acquiring the position of an air conditioning unit corresponding to a processing work order and the standing account data of the air conditioning unit based on the processing work order, wherein the information comprises the completion data, the technical parameters, the technical data, maintenance records, fault records, operation records and the like formed in the operation process, and establishing comprehensive, unified and visual standing account information of the air conditioning unit, wherein the attribute comprises a name, a number, a manufacturer and the like; based on the mobile terminal, the maintenance personnel can also check the space position and the fine model of the air conditioning unit needing maintenance in the digital twin model. After the maintenance personnel performs maintenance work on the corresponding air conditioning unit according to the processing work order, the maintenance data are recorded, and the maintenance result data after the processing is completed are fed back to the data storage module 22 for storage (specifically stored in the historical operation data), so that the accuracy of the simulation analysis result of the digital twin model is improved.
For the method disclosed in the embodiment, the description is relatively simple because of corresponding to the operation management system of the air conditioning unit disclosed in the embodiment, and the relevant parts only need to be referred to in the description of the structural parts.
The above description is only illustrative of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention, and any alterations and modifications made by those skilled in the art based on the above disclosure shall fall within the scope of the appended claims.
Claims (10)
1. An air conditioning unit operation management system, comprising:
the digital twin model creation module is used for creating a digital twin model of the air conditioning unit;
the data collection module is used for acquiring and storing historical operation data and real-time monitoring operation data of the air conditioning unit;
the operation parameter acquisition module is used for inputting the historical operation data and the operation data monitored in real time into the trained deep convolutional neural network so as to obtain the operation parameters of the digital twin model of the air conditioning unit;
the simulation analysis module is used for inputting the operation parameters of the digital twin model into the digital twin model for simulation analysis so as to obtain simulation analysis results;
and the operation management module is used for generating a processing work order according to the simulation analysis result and carrying out corresponding operation management on the air conditioning unit based on the processing work order.
2. The air conditioning unit operation management system according to claim 1, wherein the data collection module includes:
the real-time monitoring module is used for monitoring the operation time length, the operation current, the operation frequency, the air supply temperature and the air supply humidity of the air conditioning unit;
and the data storage module is used for receiving and storing the result data, the emergency maintenance data, the daily maintenance data and the daily inspection data monitored by the real-time monitoring module.
3. The air conditioning unit operation management system according to claim 1, wherein the operation management module includes:
the processing work order generating unit is used for generating a corresponding processing work order based on the working condition grade of the air conditioner set in the simulation analysis result, and the processing work order is as follows: an emergency maintenance work order, a maintenance work order or a daily inspection work order;
the mobile terminal is used for receiving and displaying the processing work order, acquiring the position of the air conditioning unit corresponding to the processing work order, the technical parameters of the air conditioning unit and the data stored by the data storage module based on the digital twin model, and feeding the processed data back to the data storage module for storage.
4. The air conditioning unit operation management system according to claim 3, wherein the operation management module further comprises: and the intelligent control unit is used for regulating and controlling the number of air conditioner operation units and the air conditioner operation temperature based on the working condition grade of the air conditioner unit in the simulation analysis result so as to stably meet the current space temperature setting requirement.
5. The air conditioning unit operation management system according to claim 1, further comprising: the display module is respectively connected with the digital twin model creation module, the data collection module, the operation parameter acquisition module, the simulation analysis module and the operation management module so as to display the related data information of each module.
6. The air conditioning unit operation management system according to claim 1, wherein the formula of the operation parameters of the digital twin model of the air conditioning unit is:
wherein X represents the digital twin model operation parameter of the air conditioning unit, p j The j-th layer weight of the deep neural network is represented, and N represents the network layer number of the deep neural network.
7. An operation management method of an air conditioning unit, comprising:
creating a digital twin model of the air conditioning unit;
acquiring and storing historical operation data and real-time monitored operation data of an air conditioning unit;
inputting the historical operation data and the operation data monitored in real time into a trained deep convolutional neural network to obtain operation parameters of a digital twin model of an air conditioning unit;
inputting the operation parameters of the digital twin model into the digital twin model for simulation analysis to obtain simulation analysis results;
and generating a processing work order according to the simulation analysis result, and carrying out corresponding operation management on the air conditioning unit based on the processing work order.
8. The air conditioning unit operation management method according to claim 7, wherein the acquiring and storing the historical operation data and the real-time monitored operation data of the air conditioning unit includes:
acquiring and storing real-time monitored operation data of an air conditioning unit, wherein the real-time monitored operation data comprises: monitoring the operation time, the operation current, the operation frequency, the air supply temperature and the air supply humidity of the air conditioning unit;
and receiving and storing historical operation data consisting of result data, emergency maintenance data, daily maintenance data and daily inspection data monitored by the real-time monitoring module.
9. The air conditioning unit operation management method according to claim 7, wherein the generating a processing work order according to the simulation analysis result includes:
acquiring the working condition grade of the air conditioning unit in the simulation analysis result; the working condition grades comprise a first grade, a second grade, a third grade and a fourth grade, and the working conditions corresponding to the air conditioning units respectively are as follows: the working condition is better, the working condition is general, the working condition is worse, and the working condition is worse;
generating a corresponding treatment work order based on the working condition grade of the air conditioning unit; wherein, the processing work order is: no processing work order, daily inspection work order, maintenance work order or emergency maintenance work order is needed, corresponding to the working condition grade of one grade, two grade, three grade and four grade respectively.
10. The air conditioning unit operation management method according to any one of claims 7 to 9, wherein the inputting the historical operation data and the real-time monitored operation data into a trained deep convolutional neural network to obtain the operation parameters of the digital twin model of the air conditioning unit comprises:
the method comprises the steps that a CONCAT fusion method is adopted for obtaining fusion characteristics of historical operation data and real-time monitoring operation data of an air conditioning unit;
and inputting the fusion characteristics into a trained deep convolutional neural network to obtain the operation parameters of the digital twin model of the air conditioning unit.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116592470A (en) * | 2023-07-18 | 2023-08-15 | 长沙柏汉电子科技股份有限公司 | Central air conditioner control system |
| CN116842811A (en) * | 2023-09-01 | 2023-10-03 | 北自所(北京)科技发展股份有限公司 | Workshop production line energy consumption analysis method and device based on digital twin and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116592470A (en) * | 2023-07-18 | 2023-08-15 | 长沙柏汉电子科技股份有限公司 | Central air conditioner control system |
| CN116592470B (en) * | 2023-07-18 | 2023-10-10 | 长沙柏汉电子科技股份有限公司 | Central air conditioner control system |
| CN116842811A (en) * | 2023-09-01 | 2023-10-03 | 北自所(北京)科技发展股份有限公司 | Workshop production line energy consumption analysis method and device based on digital twin and storage medium |
| CN116842811B (en) * | 2023-09-01 | 2023-11-14 | 北自所(北京)科技发展股份有限公司 | Workshop production line energy consumption analysis method and device based on digital twin and storage medium |
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