CN116642262A - Intelligent management method and system for heat recovery of industrial air conditioner - Google Patents
Intelligent management method and system for heat recovery of industrial air conditioner Download PDFInfo
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- CN116642262A CN116642262A CN202310894774.2A CN202310894774A CN116642262A CN 116642262 A CN116642262 A CN 116642262A CN 202310894774 A CN202310894774 A CN 202310894774A CN 116642262 A CN116642262 A CN 116642262A
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- 238000011084 recovery Methods 0.000 title claims abstract description 236
- 238000007726 management method Methods 0.000 title claims abstract description 235
- 238000007789 sealing Methods 0.000 claims abstract description 57
- 238000000034 method Methods 0.000 claims abstract description 23
- 238000011156 evaluation Methods 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000005457 optimization Methods 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 5
- 230000007423 decrease Effects 0.000 claims description 4
- 230000000694 effects Effects 0.000 abstract description 25
- 238000004378 air conditioning Methods 0.000 description 17
- 230000008569 process Effects 0.000 description 8
- 238000010438 heat treatment Methods 0.000 description 6
- 238000001514 detection method Methods 0.000 description 5
- 238000009423 ventilation Methods 0.000 description 5
- 238000005265 energy consumption Methods 0.000 description 4
- 238000010276 construction Methods 0.000 description 3
- 238000001816 cooling Methods 0.000 description 3
- 230000003247 decreasing effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 239000012774 insulation material Substances 0.000 description 1
- 230000009191 jumping Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000003507 refrigerant Substances 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 239000003566 sealing material Substances 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
- 239000002918 waste heat Substances 0.000 description 1
Classifications
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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
- F24F12/00—Use of energy recovery systems in air conditioning, ventilation or screening
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/65—Electronic processing for selecting an operating mode
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/88—Electrical aspects, e.g. circuits
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/10—Temperature
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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
- F24F2110/00—Control inputs relating to air properties
- F24F2110/30—Velocity
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
- Y02B30/56—Heat recovery units
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- Engineering & Computer Science (AREA)
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- Combustion & Propulsion (AREA)
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- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The application provides an intelligent management method and system for heat recovery of an industrial air conditioner, which relate to the technical field of heat recovery management and comprise the following steps: the method comprises the steps of obtaining a current operation mode of a target industrial air conditioner, obtaining air leakage of an air supply pipe and an air return pipe, setting and obtaining heat recovery target information by combining the operation mode, obtaining a plurality of sealing management schemes, obtaining a plurality of recovery device schemes, carrying out random combination to obtain a plurality of management schemes, optimizing with the aim of improving heat recovery efficiency, obtaining an optimal management scheme, and managing a target building and a target recovery device. The application solves the technical problems that the heat recovery management of the industrial air conditioner cannot consider the lighting area and the heat recovery efficiency in the prior art, so that the heat recovery effect is poor, realizes the combination of the sealing management and the parameter setting of the recovery device, obtains the management scheme with better lighting area and higher heat recovery efficiency, and further improves the heat recovery effect of the industrial air conditioner.
Description
Technical Field
The application relates to the technical field of heat recovery management, in particular to an intelligent management method and system for industrial air conditioner heat recovery.
Background
With the popularization of energy-saving and environment-friendly concepts, the heat recovery of the air conditioner is used as a high-efficiency energy-saving and carbon-reducing technology, and is increasingly concerned by energy-saving experts and energy units. In short, the air conditioner heat recovery is to add a special recovery device for the air conditioner external unit, recover the heat (namely the air conditioner waste heat) discharged by the air conditioner external unit to the outdoor, and reuse the heat for the second time. The conventional management method for heat recovery of the industrial air conditioner has certain defects, and certain lifting space exists for the management of heat recovery of the industrial air conditioner.
Disclosure of Invention
The embodiment of the application provides an intelligent management method and system for heat recovery of an industrial air conditioner, which are used for solving the technical problems that the heat recovery management of the industrial air conditioner cannot consider the lighting area and the heat recovery efficiency of an industrial building and the heat recovery effect is poor in the prior art.
In view of the above problems, the embodiment of the application provides an intelligent management method and system for heat recovery of an industrial air conditioner.
In a first aspect, an embodiment of the present application provides an intelligent management method for heat recovery of an industrial air conditioner, where the method includes: acquiring a current operation mode of a target industrial air conditioner to be subjected to heat recovery; acquiring air leakage quantity of an air supply pipe and an air return pipe of the target industrial air conditioner in the operation mode, acquiring air leakage quantity information, and setting and acquiring heat recovery target information by combining the operation mode; obtaining a plurality of sealing management schemes according to a sealing management database of the building category of the target building where the target industrial air conditioner is located; acquiring a plurality of recovery device schemes for performing parameter setting on a target recovery device for performing heat recovery on the target industrial air conditioner; and randomly combining the sealing management schemes and the recovery device schemes to obtain a plurality of management schemes, optimizing the sealing management schemes with the aim of improving the heat recovery efficiency to obtain an optimal management scheme, and managing the target building and the target recovery device.
In a second aspect, an embodiment of the present application provides an intelligent management system for heat recovery of an industrial air conditioner, the system comprising: the operation mode acquisition module is used for acquiring the current operation mode of the target industrial air conditioner to be subjected to heat recovery; the target information acquisition module is used for acquiring the air leakage quantity of the air supply pipe and the air return pipe of the target industrial air conditioner in the operation mode, acquiring air leakage quantity information, and setting and acquiring heat recovery target information by combining the operation mode; the sealing management side acquisition module is used for acquiring a plurality of sealing management schemes according to a sealing management database of the building category of the target building where the target industrial air conditioner is located; the recovery device scheme acquisition module is used for acquiring a plurality of recovery device schemes for parameter setting of a target recovery device for carrying out heat recovery on the target industrial air conditioner; the management scheme acquisition module is used for randomly combining the sealing management schemes and the recovery device schemes to obtain a plurality of management schemes, optimizing the sealing management schemes with the aim of improving heat recovery efficiency to obtain an optimal management scheme, and managing the target building and the target recovery device.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the method comprises the steps of obtaining a current operation mode of a target industrial air conditioner, obtaining air leakage of an air supply pipe and an air return pipe, setting and obtaining heat recovery target information by combining the operation mode, obtaining a plurality of sealing management schemes, obtaining a plurality of recovery device schemes, carrying out random combination to obtain a plurality of management schemes, optimizing with the aim of improving heat recovery efficiency, obtaining an optimal management scheme, and managing a target building and a target recovery device. The technical problems that the lighting area and the heat recovery efficiency cannot be considered in heat recovery management of an industrial air conditioner in the prior art, and the heat recovery effect is poor are solved, the combination of seal management and parameter setting of a recovery device is realized, optimization is carried out in a combination scheme, a management scheme with good lighting area and high heat recovery efficiency is obtained, and the heat recovery effect of the industrial air conditioner is further improved.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a schematic flow chart of an intelligent management method for heat recovery of an industrial air conditioner according to an embodiment of the application;
fig. 2 is a schematic flow chart of a current operation mode of a target industrial air conditioner to be subjected to heat recovery in an intelligent management method for heat recovery of an industrial air conditioner according to an embodiment of the application;
fig. 3 is a schematic flow chart of obtaining heat recovery target information in an intelligent management method for heat recovery of an industrial air conditioner according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an intelligent management system for heat recovery of an industrial air conditioner according to an embodiment of the present application.
Reference numerals illustrate: the operation mode acquiring module 10, the target information acquiring module 20, the sealing management side acquiring module 30, the recovery device scheme acquiring module 40 and the management scheme acquiring module 50.
Detailed Description
The embodiment of the application provides an intelligent management method for heat recovery of an industrial air conditioner, which is used for solving the technical problems that the heat recovery management of the industrial air conditioner cannot consider the lighting area and the heat recovery efficiency of an industrial building and the heat recovery effect is poor in the prior art.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent management method for heat recovery of an industrial air conditioner, where the method includes:
step S100: acquiring a current operation mode of a target industrial air conditioner to be subjected to heat recovery;
further, as shown in fig. 2, step S100 of the present application further includes:
step S110: acquiring the working mode, the working wind speed and the working temperature of the target industrial air conditioner;
step S120: and obtaining the operation mode according to the operation mode, the operation wind speed and the operation temperature.
Specifically, a target industrial air conditioning device to be subjected to heat recovery is first determined, and the industrial air conditioning device is commonly used for large facilities such as factories, production lines and the like, is used for adjusting temperature and humidity, and provides a comfortable working environment for staff.
The modes of operation typically include cooling, heating, ventilation, etc., e.g., typically in a cooling mode during summer hours; in heating mode during winter; and is normally in a ventilation mode during spring and autumn. The heating mode refers to a function of the air conditioning equipment for transferring outdoor heat into the indoor and improving indoor temperature, and under the heating mode, the refrigerant in the air conditioning equipment absorbs the outdoor heat and then transfers the heat into the indoor; the refrigeration mode is opposite; the ventilation mode refers to a mode in which the air conditioning apparatus performs only air circulation without a cooling or heating function, and in the ventilation mode, an outdoor fan of the air conditioning apparatus is engaged with an indoor fan to introduce outdoor fresh air into a room while discharging indoor air to the outside to improve indoor air quality.
The working wind speed refers to the wind speed of air conditioning equipment in the air supply and return processes, and the air conditioning equipment generally has different gears of high, medium, low and the like, and the air speed can influence the indoor air circulation speed, so that the refrigerating and heating effects are influenced, and meanwhile, the heat recovery effects can be influenced by different wind speeds, for example, higher wind speeds can cause more heat loss, and the heat recovery efficiency is reduced.
The working temperature refers to the indoor temperature set by the air conditioning system, and different working temperatures can affect the heat recovery effect, for example, lower indoor temperature can lead to more heat loss, and heat recovery efficiency is reduced.
And integrating the working mode, the working wind speed and the working temperature to obtain the current working mode of the target industrial air conditioner, wherein the working mode is a comprehensive state containing a plurality of parameters and is used for describing the running state of the air conditioning system under a specific condition.
Step S200: acquiring air leakage quantity of an air supply pipe and an air return pipe of the target industrial air conditioner in the operation mode, acquiring air leakage quantity information, and setting and acquiring heat recovery target information by combining the operation mode;
further, as shown in fig. 3, step S200 of the present application further includes:
step S210: according to the operation mode, theoretical heat recovery information is obtained;
step S220: testing the air supply pipe and the air return pipe of the target industrial air conditioner in the operation mode to obtain theoretical air quantity information and air leakage quantity information;
step S230: and carrying out deviation calculation on the theoretical heat recovery information according to the theoretical air quantity information and the air leakage quantity information to obtain the heat recovery target information.
Specifically, by querying related data or applying professional software, theoretical heat recovery information of the target industrial air conditioner in the operation mode is calculated, wherein the theoretical heat recovery information refers to heat recovery effects, such as theoretical heat recovery rate, total amount of recovered heat, and the like, which can be realized by the air conditioning system in a specific operation mode under ideal conditions without considering factors such as energy loss, efficiency reduction and the like which may exist in actual operation.
The air supply pipe and the air return pipe are tested in the operation mode of the target industrial air conditioner, and the target industrial air conditioner is adjusted to the operation mode, and professional instrument equipment such as an air speed measuring instrument, a calorimeter, a pressure measuring device and the like is adopted for data acquisition on the air supply pipe and the air return pipe to obtain actual air quantity information. Theoretical air volume information is obtained from design parameters or operation manuals of the air conditioning system, and the theoretical air volume information refers to the air volumes of an air supply pipe and an air return pipe of the air conditioning system in a specific operation mode under ideal conditions. And calculating the difference between the actual air quantity information and the theoretical air quantity information, wherein the calculation result is the air leakage quantity information, and the air leakage quantity information refers to the air quantity loss caused by the reasons of loose sealing, pipeline damage and the like of an air supply pipe and an air return pipe of an air conditioning system in the actual operation process.
And performing deviation calculation on the theoretical heat recovery information according to the acquired theoretical air volume information and the air leakage information, so as to obtain heat recovery target information, and determining the difference between the heat recovery effect of the air conditioning system and the theoretical value in the actual operation process, thereby formulating a proper heat recovery strategy. The calculation method of the heat recovery target information is that the difference value of the theoretical air volume information and the air leakage amount information is multiplied by the theoretical air volume information. Exemplary, setting the theoretical air volume information to 1000 cubic meters/hour, the air leakage information to 100 cubic meters/hour, and the theoretical heat recovery information to 80% of the heat recovery, the heat recovery target information isThis means that, after adding factors such as the air leakage rate in actual operation, it is desired that the air conditioning system can achieve a heat recovery effect of 72%.
Step S300: obtaining a plurality of sealing management schemes according to a sealing management database of the building category of the target building where the target industrial air conditioner is located;
further, the step S300 of the present application further includes:
step S310: respectively acquiring a plurality of sealing management schemes of a plurality of building categories, and acquiring a plurality of sealing management scheme sets;
step S320: constructing a plurality of index elements based on the plurality of building categories, and constructing a plurality of data element sets based on the plurality of seal management scheme sets;
step S330: constructing the seal management database based on the index elements and the seal management scheme sets, and updating the seal management database according to a preset time period;
step S340: and inputting the building category of the target building into the sealing management database for indexing, and obtaining the sealing management schemes.
Specifically, the building category includes factories, office buildings, markets, etc., the sealing management scheme mainly aims at facilities in the building, such as doors, windows, etc., which may cause air leakage, and by optimizing the number or area of the facilities, the leakage of cold air or hot air is reduced as much as possible on the premise of meeting lighting and ventilation requirements, so that the heat recovery efficiency is improved, and one building category generally has a plurality of sealing management schemes. Illustratively, assuming that the target building is a factory, there is a set of seal management schemes for the factory as follows: the method comprises the steps of A, reducing the number of windows by 50%, optimizing the layout of the windows to ensure that lighting requirements are met, and improving the tightness of a target building; scheme B: on the basis of the existing doors and windows, sealing materials are added to reduce the air quantity leakage; scheme C: the number of windows is increased by 30%, the lighting area is improved, and the tightness is inevitably reduced. And integrating a plurality of sealing management schemes of a plurality of building categories to obtain a plurality of sealing management scheme sets.
For different building categories, such as factories, office buildings, shops, etc., corresponding index elements are constructed, and the index elements are used for quickly searching the sealing management schemes of the corresponding building categories in the sealing management database, for example, a unique ID or number is allocated to each building category so as to facilitate searching. Based on the obtained plurality of sealing management scheme sets, corresponding data element sets are constructed, wherein the data element sets contain detailed information of the scheme, such as reducing the percentage of the number of windows, increasing the type of heat insulation materials and the like, and the expected influence of the scheme on heat recovery efficiency, energy consumption, operation cost and the like.
The plurality of index elements are associated with a corresponding plurality of sealing management scheme sets to organize and store such information in a database, illustratively, a table is created using a relational database containing fields of construction category index elements, scheme IDs, scheme descriptions, etc., and the sealing management database is constructed to achieve organization and storage of sealing management schemes. To ensure accurate, timely and efficient information in the database, the database is updated at predetermined time periods, such as monthly, quarterly, yearly, etc., with the update process including adding new seal management schemes, modifying information for existing schemes, deleting schemes that are no longer applicable, etc. This will help ensure that the seal management solution remains always synchronized with industry development and technological progress, providing the most appropriate heat recovery solution for the target building.
And inputting the building category of the target building into a sealing management database, acquiring index elements corresponding to the building category, indexing the index elements, and acquiring a plurality of sealing management schemes related to the target building category.
Step S400: acquiring a plurality of recovery device schemes for performing parameter setting on a target recovery device for performing heat recovery on the target industrial air conditioner;
further, the step S400 of the present application further includes:
step S410: adjusting the head-on wind speed of the target recovery device to obtain a plurality of head-on wind speed schemes;
step S420: the rotating speed of the rotating wheel in the target recovery device is adjusted to obtain a plurality of rotating speed schemes;
step S430: and randomly combining the multiple head-on wind speed schemes and the multiple rotating speed schemes to obtain multiple recovery device schemes.
In particular, the target recovery device, i.e., heat recovery device, refers to devices for recovering energy from exhaust gas discharged from industrial air conditioners by capturing heat in the exhaust gas and reusing it in an air conditioning system or for other systems requiring heat. The head-on wind speed is the speed of air when flowing through the heat recovery device, and the head-on wind speed determines the heat exchange effect of air and the heat recovery device, has important influence on heat recovery efficiency. The adjustment of the wind speed at the head-on of the target recovery device, including increasing and decreasing the wind speed, may be performed, for example, by adjusting the cross-sectional area of the target recovery device or the rotational speed of the wheel, etc., and if the initial value of the wind speed at the head-on of the target recovery device is 4 m/s, for example, each 0.5 m/s increase or decrease of the wind speed is taken as a head-on wind speed scheme, thereby obtaining a plurality of head-on wind speed schemes.
The wheel is a key component of the target recovery device and is responsible for heat exchange when air flows through, and the rotating speed of the wheel in the target recovery device is adjusted, including increasing and decreasing the rotating speed, for example, if the initial value of the rotating speed of the wheel in the target recovery device is 60 revolutions per minute, each 10 revolutions per minute is increased or decreased as one rotating speed scheme, so as to obtain a plurality of rotating speed schemes. By adjusting the rotation speed of the rotating wheel, the heat exchange effect can be optimized, thereby improving the heat recovery efficiency and reducing the energy consumption.
The above obtained schemes of the windward speed and the schemes of the rotational speed are randomly combined to generate schemes of the recovery device, and by trying the combinations, a balance point which is most suitable for the heat recovery efficiency and the energy consumption of the target industrial air conditioner can be found, thereby being beneficial to improving the heat recovery efficiency and reducing the energy consumption and the operation cost.
Step S500: and randomly combining the sealing management schemes and the recovery device schemes to obtain a plurality of management schemes, optimizing the sealing management schemes with the aim of improving the heat recovery efficiency to obtain an optimal management scheme, and managing the target building and the target recovery device.
Further, the step S500 of the present application further includes:
step S510: randomly selecting one management scheme from the plurality of management schemes as a first management scheme, and taking the first management scheme as a history optimal management scheme;
step S520: constructing a fitness function, and calculating a first fitness of the first management scheme by adopting the fitness function;
step S530: continuing to randomly select one management scheme from the plurality of management schemes as a second management scheme, and calculating a second fitness of the second management scheme by adopting the fitness function;
step S540: judging whether the second fitness is larger than the first fitness, if so, taking the second management scheme as a history optimal management scheme, if not, calculating probability, and randomly generating [0,1]]And (3) judging whether the probability is larger than the internal number, and taking the second management scheme as a history optimal management scheme if not, wherein the probability is calculated by the following formula:wherein->For the second fitness->C is a constant which decreases as the number of optimization iterations increases;
step S550: and continuing to perform iterative optimization until the preset iteration times are reached, and outputting a final historical optimal management scheme as the optimal management scheme. Specifically, one management scheme is randomly selected from a plurality of management schemes, and is used as a first management scheme, wherein the first management scheme comprises a sealing management scheme and a recovery device scheme, and is used as a history optimal management scheme, and the initial history optimal management scheme is used for being compared with other management schemes in the following optimizing process so as to find a better heat recovery management scheme.
The fitness function is an evaluation criterion, and may calculate a fitness value according to the characteristics and parameters of the management scheme, for example, set an evaluation index of the management scheme as a lighting effect and a heat recovery efficiency, evaluate the first management scheme based on the lighting effect and the heat recovery efficiency, obtain a lighting effect score and a heat recovery efficiency score, and perform weight distribution on the lighting effect score and the heat recovery efficiency score according to actual needs, for example, set a weight of the lighting effect score to 30%, set a weight of the heat recovery efficiency score to 70%, perform weighted summation on the lighting effect score and the heat recovery efficiency score of the first management scheme, and obtain a first fitness of the first management scheme, where the fitness value is used to measure the merits of the management scheme so as to find an optimal management scheme in the optimizing process.
And randomly selecting one of the remaining management schemes as a second management scheme, calculating the fitness value of the second management scheme by using the previously constructed fitness function, and obtaining the second fitness.
The magnitudes of the first and second fitness are compared to determine which scheme has higher heat recovery efficiency and lighting area. If the second fitness is greater than the first fitness, the second management scheme is said to be more optimal, and therefore the second management scheme is taken as a history optimal management scheme. If the second fitness is not greater than the first fitness, calculating a probability value through the formula, randomly generating a number in the [0,1] interval, and if the random number is greater than the probability value, taking the first management scheme as a history optimal management scheme; if the random number is less than or equal to the probability value, the second management scheme is taken as a history optimal management scheme. The probability value is larger in the early optimizing stage and smaller in the later optimizing stage, and by the method, a certain degree of randomness is introduced in the process of searching the optimal management scheme, so that the problem of sinking into a local optimal solution, jumping out of the local optimal solution is avoided, the optimizing efficiency is improved, and the optimizing accuracy is ensured in the later optimizing stage.
Repeating the steps, searching a historical optimal management scheme by comparing the fitness value with the calculated probability until the preset iteration times are reached, and outputting a final historical optimal management scheme as the optimal management scheme by setting the preset iteration times to 100 times in an exemplary manner.
Further, step S520 of the present application further includes:
step S521: constructing the fitness function as follows：Wherein->For the fitness of the ith management scheme, < +.>Scoring lighting in the ith management regimen, alpha being the weight of the lighting score,/->Scoring the heat recovery efficiency in the ith management scheme, wherein beta is the weight of the heat recovery efficiency score, and the sum of alpha and beta is 1;
step S522: detecting the lighting area of the first management scheme, and detecting the heat recovery efficiency according to the heat recovery target information to obtain a first lighting area and a first heat recovery efficiency;
step S523: evaluating the first lighting area and the first heat recovery efficiency according to a preset lighting evaluation standard and a preset heat recovery efficiency evaluation standard of the building category of the target building to obtain a first lighting score and a first heat recovery efficiency score;
step S524: and calculating the first lighting score and the first heat recovery efficiency score according to the fitness function to obtain the first fitness.
Specifically, the lighting score and the heat recovery efficiency score are assigned with weights according to actual conditions, for example, the heat recovery efficiency is more emphasized, the weight of the heat recovery efficiency is increased, if the weight of the heat recovery efficiency is set to be 70%, the weight of the heat recovery efficiency is relatively low, the importance of the lighting effect is low, the weight of the lighting score is reduced, if the weight of the lighting score is set to be 30%, and the sum of the weight of the heat recovery efficiency and the weight of the lighting score is 1. And carrying out weighted summation on the lighting score and the heat recovery efficiency score by using the weight value, and taking the calculation result as the fitness of the corresponding management scheme so as to construct the fitness function.
The lighting area detection is performed on the building in the first management scheme, and the lighting area is the area of the window or the like where the air leakage area exists and lighting is performed, for example, assuming that the first management scheme includes measures such as reducing the number and the size of the windows, optimizing the window layout, and the like, in this case, the first lighting area of the building is calculated to determine whether lighting is sufficient. According to the heat recovery target information, heat recovery efficiency detection calculation is performed on the heat recovery device in the first management scheme, the heat recovery efficiency is the ratio of the heat actually recovered to the heat recovery target information, and detection calculation can be performed through a heat detection technology in the prior art, for example, heat recovery performance of test equipment under a specific working condition is achieved, and the first heat recovery efficiency is obtained.
Lighting evaluation criteria are preset according to the type and purpose of the building, and the criteria include grading grades corresponding to different lighting areas, for example, one office building may have the following lighting evaluation criteria: the lighting area is more than or equal to 250 square meters, and the score is 100 minutes; the lighting area is less than or equal to 200 square meters and less than 250 square meters, and the score is 80 minutes; the lighting area is less than or equal to 150 square meters and less than 200 square meters, and the score is 60 minutes; the lighting area is less than 150 square meters, and the score is 40 minutes. According to the heat recovery target information, heat recovery efficiency evaluation standards are preset, and the heat recovery efficiency evaluation standards are the same as lighting evaluation standards, wherein the standards comprise grading grades corresponding to different heat recovery efficiencies, and the higher the heat recovery efficiency is, the higher the grading grade is. And according to a preset evaluation standard, evaluating the lighting area and the heat recovery efficiency of the first management scheme to obtain a first lighting score and a first heat recovery efficiency score.
And inputting the first lighting score, the first heat recovery efficiency score and the weight value thereof into the fitness function, and obtaining the first fitness through calculation. This value will be used in the subsequent optimizing process and compared with the fitness of other management schemes to find the optimal management scheme with the highest fitness, i.e. the management scheme with better lighting area and higher heat recovery efficiency is obtained by optimizing. And managing the target building and the target recycling device according to the optimal management scheme.
In summary, the intelligent management method and system for heat recovery of industrial air conditioner provided by the embodiment of the application have the following technical effects:
the method comprises the steps of obtaining a current operation mode of a target industrial air conditioner, obtaining air leakage of an air supply pipe and an air return pipe, setting and obtaining heat recovery target information by combining the operation mode, obtaining a plurality of sealing management schemes, obtaining a plurality of recovery device schemes, carrying out random combination to obtain a plurality of management schemes, optimizing with the aim of improving heat recovery efficiency, obtaining an optimal management scheme, and managing a target building and a target recovery device. The technical problems that the lighting area and the heat recovery efficiency cannot be considered in heat recovery management of an industrial air conditioner in the prior art, and the heat recovery effect is poor are solved, the combination of seal management and parameter setting of a recovery device is realized, optimization is carried out in a combination scheme, a management scheme with good lighting area and high heat recovery efficiency is obtained, and the heat recovery effect of the industrial air conditioner is further improved.
Example two
Based on the same inventive concept as the intelligent management method for heat recovery of an industrial air conditioner in the foregoing embodiments, as shown in fig. 4, the present application provides an intelligent management system for heat recovery of an industrial air conditioner, the system comprising:
an operation mode obtaining module 10, wherein the operation mode obtaining module 10 is used for obtaining a current operation mode of a target industrial air conditioner to be subjected to heat recovery;
the target information acquisition module 20 is used for acquiring the air leakage quantity of the air supply pipe and the air return pipe of the target industrial air conditioner in the operation mode, acquiring air leakage quantity information, and setting and acquiring heat recovery target information by combining the operation mode;
the seal management side acquisition module 30 is used for acquiring a plurality of seal management schemes according to a seal management database of the building category of the target building where the target industrial air conditioner is located by the seal management side acquisition module 30;
a recovery device solution acquisition module 40, where the recovery device solution acquisition module 40 is configured to acquire a plurality of recovery device solutions for performing parameter setting on a target recovery device for performing heat recovery on the target industrial air conditioner;
the management scheme obtaining module 50 is configured to randomly combine the plurality of sealing management schemes and the plurality of recovery device schemes to obtain a plurality of management schemes, and optimize the plurality of sealing management schemes with the aim of improving heat recovery efficiency, so as to obtain an optimal management scheme, and manage the target building and the target recovery device.
Further, the system further comprises:
the working information acquisition module is used for acquiring the working mode, the working wind speed and the working temperature of the target industrial air conditioner;
and the mode acquisition module is used for acquiring the operation mode according to the operation mode, the operation wind speed and the operation temperature.
Further, the system further comprises:
the theoretical information acquisition module is used for acquiring theoretical heat recovery information according to the operation mode;
the test module is used for testing the air supply pipe and the air return pipe of the target industrial air conditioner in the operation mode to obtain theoretical air quantity information and the air leakage quantity information;
and the deviation calculation module is used for calculating the deviation of the theoretical heat recovery information according to the theoretical air volume information and the air leakage amount information to obtain the heat recovery target information.
Further, the system further comprises:
the sealing management scheme set acquisition module is used for respectively acquiring a plurality of sealing management schemes of a plurality of building categories and acquiring a plurality of sealing management scheme sets;
the data element set acquisition module is used for constructing a plurality of index elements based on the plurality of building categories and constructing a plurality of data element sets based on the plurality of sealing management scheme sets;
the seal management database construction module is used for constructing the seal management database based on the index elements and the seal management scheme sets and updating the seal management database according to a preset time period;
and the index module is used for inputting the building category of the target building into the sealing management database for indexing to obtain the plurality of sealing management schemes.
Further, the system further comprises:
the head-on wind speed adjusting module is used for adjusting the head-on wind speed of the target recovery device to obtain a plurality of head-on wind speed schemes;
the rotating speed adjusting module is used for adjusting the rotating speed of the rotating wheel in the target recovery device to obtain a plurality of rotating speed schemes;
and the random combination module is used for carrying out random combination on the multiple head-on wind speed schemes and the multiple rotating speed schemes to obtain multiple recovery device schemes.
Further, the system further comprises:
the first management scheme acquisition module is used for randomly selecting one management scheme from the plurality of management schemes to be used as a first management scheme, and the first management scheme is used as a history optimal management scheme;
the first fitness obtaining module is used for constructing a fitness function and calculating the first fitness of the first management scheme by adopting the fitness function;
the second management scheme obtaining module is used for continuing to randomly select one management scheme from the plurality of management schemes as a second management scheme, and calculating a second fitness of the second management scheme by adopting the fitness function;
the judging module is used for judging whether the second fitness is larger than the first fitness, if so, taking the second management scheme as a history optimal management scheme, and if not, calculating probability and randomly generating [0,1]And (3) judging whether the probability is larger than the internal number, and taking the second management scheme as a history optimal management scheme if not, wherein the probability is calculated by the following formula:wherein->For the second fitness->C is a constant which decreases as the number of optimization iterations increases; and the iterative optimization module is used for continuing iterative optimization until the preset iterative times are reached, and outputting a final historical optimal management scheme as the optimal management scheme.
Further, the system further comprises:
the fitness function construction module is used for constructing the fitness function, and the formula is as follows:wherein->For the fitness of the ith management scheme, < +.>For the lighting score in the ith management regimen, a is the weight of the lighting score,scoring the heat recovery efficiency in the ith management scheme, wherein beta is the weight of the heat recovery efficiency score, and the sum of alpha and beta is 1;
the lighting area detection module is used for detecting the lighting area of the first management scheme and detecting the heat recovery efficiency according to the heat recovery target information to obtain a first lighting area and a first heat recovery efficiency;
the evaluation module is used for evaluating the first lighting area and the first heat recovery efficiency according to a preset lighting evaluation standard and a preset heat recovery efficiency evaluation standard of the building category of the target building to obtain a first lighting score and a first heat recovery efficiency score;
and the calculation module is used for calculating the first lighting score and the first heat recovery efficiency score according to the fitness function to obtain the first fitness.
The foregoing detailed description of an intelligent management method for heat recovery of an industrial air conditioner will be clear to those skilled in the art, and the device disclosed in this embodiment is relatively simple in description, and the relevant points refer to the description of the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An intelligent management method for heat recovery of an industrial air conditioner is characterized by comprising the following steps:
acquiring a current operation mode of a target industrial air conditioner to be subjected to heat recovery;
acquiring air leakage quantity of an air supply pipe and an air return pipe of the target industrial air conditioner in the operation mode, acquiring air leakage quantity information, and setting and acquiring heat recovery target information by combining the operation mode;
obtaining a plurality of sealing management schemes according to a sealing management database of the building category of the target building where the target industrial air conditioner is located;
acquiring a plurality of recovery device schemes for performing parameter setting on a target recovery device for performing heat recovery on the target industrial air conditioner;
and randomly combining the sealing management schemes and the recovery device schemes to obtain a plurality of management schemes, optimizing the sealing management schemes with the aim of improving the heat recovery efficiency to obtain an optimal management scheme, and managing the target building and the target recovery device.
2. The method of claim 1, wherein obtaining a current operating mode of the target industrial air conditioner to be heat recovered comprises:
acquiring the working mode, the working wind speed and the working temperature of the target industrial air conditioner;
and obtaining the operation mode according to the operation mode, the operation wind speed and the operation temperature.
3. The method of claim 1, wherein obtaining the air leakage amount of the air supply pipe and the air return pipe of the target industrial air conditioner in the operation mode, obtaining air leakage amount information, and setting to obtain heat recovery target information in combination with the operation mode, comprises:
according to the operation mode, theoretical heat recovery information is obtained;
testing the air supply pipe and the air return pipe of the target industrial air conditioner in the operation mode to obtain theoretical air quantity information and air leakage quantity information;
and carrying out deviation calculation on the theoretical heat recovery information according to the theoretical air quantity information and the air leakage quantity information to obtain the heat recovery target information.
4. The method of claim 1, wherein obtaining a plurality of seal management schemes from a seal management database of building categories of the target building comprises:
respectively acquiring a plurality of sealing management schemes of a plurality of building categories, and acquiring a plurality of sealing management scheme sets;
constructing a plurality of index elements based on the plurality of building categories, and constructing a plurality of data element sets based on the plurality of seal management scheme sets;
constructing the seal management database based on the index elements and the seal management scheme sets, and updating the seal management database according to a preset time period;
and inputting the building category of the target building into the sealing management database for indexing, and obtaining the sealing management schemes.
5. The method of claim 1, wherein obtaining a plurality of recovery device schemes for parameter setting of a target recovery device for heat recovery of the target industrial air conditioner comprises:
adjusting the head-on wind speed of the target recovery device to obtain a plurality of head-on wind speed schemes;
the rotating speed of the rotating wheel in the target recovery device is adjusted to obtain a plurality of rotating speed schemes;
and randomly combining the multiple head-on wind speed schemes and the multiple rotating speed schemes to obtain multiple recovery device schemes.
6. The method of claim 1, wherein optimizing for the purpose of improving heat recovery efficiency, obtaining an optimal management solution, comprises:
randomly selecting one management scheme from the plurality of management schemes as a first management scheme, and taking the first management scheme as a history optimal management scheme;
constructing a fitness function, and calculating a first fitness of the first management scheme by adopting the fitness function;
continuing to randomly select one management scheme from the plurality of management schemes as a second management scheme, and calculating a second fitness of the second management scheme by adopting the fitness function;
judging whether the second fitness is larger than the first fitness, if so, taking the second management scheme as a history optimal management scheme, if not, calculating probability, and randomly generating [0,1]]And (3) judging whether the probability is larger than the internal number, and taking the second management scheme as a history optimal management scheme if not, wherein the probability is calculated by the following formula:wherein, the method comprises the steps of, wherein,/>for the second fitness->C is a constant which decreases as the number of optimization iterations increases;
and continuing to perform iterative optimization until the preset iteration times are reached, and outputting a final historical optimal management scheme as the optimal management scheme.
7. The method of claim 6, wherein constructing a fitness function, and calculating a first fitness of the first management scheme using the fitness function, comprises: constructing the fitness function, wherein the fitness function is as follows:wherein (1)>For the fitness of the ith management scheme, < +.>Scoring lighting in the ith management regimen, alpha being the weight of the lighting score,/->Scoring the heat recovery efficiency in the ith management scheme, wherein beta is the weight of the heat recovery efficiency score, and the sum of alpha and beta is 1;
detecting the lighting area of the first management scheme, and detecting the heat recovery efficiency according to the heat recovery target information to obtain a first lighting area and a first heat recovery efficiency;
evaluating the first lighting area and the first heat recovery efficiency according to a preset lighting evaluation standard and a preset heat recovery efficiency evaluation standard of the building category of the target building to obtain a first lighting score and a first heat recovery efficiency score;
and calculating the first lighting score and the first heat recovery efficiency score according to the fitness function to obtain the first fitness.
8. An intelligent management system for heat recovery of an industrial air conditioner, the system comprising:
the operation mode acquisition module is used for acquiring the current operation mode of the target industrial air conditioner to be subjected to heat recovery;
the target information acquisition module is used for acquiring the air leakage quantity of the air supply pipe and the air return pipe of the target industrial air conditioner in the operation mode, acquiring air leakage quantity information, and setting and acquiring heat recovery target information by combining the operation mode;
the sealing management side acquisition module is used for acquiring a plurality of sealing management schemes according to a sealing management database of the building category of the target building where the target industrial air conditioner is located;
the recovery device scheme acquisition module is used for acquiring a plurality of recovery device schemes for parameter setting of a target recovery device for carrying out heat recovery on the target industrial air conditioner;
the management scheme acquisition module is used for randomly combining the sealing management schemes and the recovery device schemes to obtain a plurality of management schemes, optimizing the sealing management schemes with the aim of improving heat recovery efficiency to obtain an optimal management scheme, and managing the target building and the target recovery device.
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