CN110567089B - Equipment management method and device for air conditioner energy efficiency ratio management and air conditioner system - Google Patents
Equipment management method and device for air conditioner energy efficiency ratio management and air conditioner system Download PDFInfo
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- CN110567089B CN110567089B CN201910868274.5A CN201910868274A CN110567089B CN 110567089 B CN110567089 B CN 110567089B CN 201910868274 A CN201910868274 A CN 201910868274A CN 110567089 B CN110567089 B CN 110567089B
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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
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
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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
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Abstract
The disclosure provides an equipment management method and device and an air conditioning system, and relates to the technical field of electric appliances. The equipment management method comprises the following steps: establishing a device time-by-time simulation model; obtaining a long-term operation commitment energy efficiency ratio of the equipment according to the time-by-time simulation model based on the equipment performance attenuation parameters; and determining whether the running state of the equipment is abnormal or not based on the long-term running committed energy efficiency ratio. By the method, the individualized long-term operation committed energy efficiency ratio of the equipment can be obtained through the time-by-time simulation model, and the operation state of the equipment is judged by taking the energy efficiency ratio as a reference, so that the aging condition of the equipment is taken into account, the accuracy of judging the abnormal state of the equipment is improved, and the equipment maintenance opportunity is determined accurately.
Description
Technical Field
The disclosure relates to the technical field of electric appliances, in particular to a device management method and device and an air conditioning system.
Background
The energy efficiency is an index for testing the energy-saving and environment-friendly performance of the electric appliance. Taking an air conditioner as an example, the air conditioners sold in China at present all have a color LABEL in the word of 'Chinese energy efficiency LABEL' (CHINA ENERGY LABEL), and the energy efficiency ratio of the air conditioner is divided into 3 grades of 1, 2 and 3.
At present, the actual operation energy efficiency of a central air-conditioning system is generally low, and if a refrigeration machine room formed by a water chilling unit, a freezing water pump, a cooling tower and other equipment is considered, the energy efficiency ratio of the system is generally less than 3.5.
Disclosure of Invention
It is an object of the present disclosure to improve the accuracy of monitoring of the operational state of a device.
According to an aspect of the present disclosure, a device management method is provided, including: establishing a device time-by-time simulation model; obtaining a long-term operation commitment energy efficiency ratio of the equipment according to the time-by-time simulation model based on the equipment performance attenuation parameters; and determining whether the running state of the equipment is abnormal or not according to the long-term running committed energy efficiency ratio.
In some embodiments, determining whether the operation state of the device is abnormal according to the long-term operation committed energy efficiency ratio includes: determining the current committed energy efficiency ratio according to the long-term operation committed energy efficiency ratio; and if the actual energy efficiency ratio is smaller than the current committed energy efficiency ratio, sending an alarm.
In some embodiments, building the time-by-time simulation model includes: establishing a time-by-time simulation model of the equipment according to a design scheme; modifying the design scheme according to the simulation result of the time-by-time simulation model so as to enable the design commitment energy efficiency ratio to be larger than the target energy efficiency ratio; the updating of the design is synchronized to the time-wise simulation model.
In some embodiments, the device management method further comprises, after completing device design and manufacture: acquiring all-working-condition performance data of equipment under actual measurement; and performing short-step and long-step dynamic simulation according to the all-condition performance data, and acquiring a control strategy of the equipment for ensuring that the energy efficiency ratio of the equipment reaches the promised energy efficiency ratio so that the installed equipment can operate according to the control strategy.
In some embodiments, the device management method further comprises, after completing the device installation: acquiring actual operation parameters of equipment; and correcting the time-by-time simulation model according to the actual operation parameters.
In some embodiments, the device management method further comprises: correcting the design committed energy efficiency ratio according to the corrected time-by-time simulation model to obtain an actual committed energy efficiency ratio; and determining whether the running state of the equipment is normal or not according to the actual committed energy efficiency ratio.
In some embodiments, the actual operating parameters include an actual energy efficiency ratio, and one or more of a system load rate, meteorological parameters, or operating mode.
By the method, the individualized long-term operation committed energy efficiency ratio of the equipment can be obtained through the time-by-time simulation model, and the operation state of the equipment is judged by taking the energy efficiency ratio as a reference, so that the aging condition of the equipment is taken into account, the accuracy of judging the abnormal state of the equipment is improved, and the equipment maintenance opportunity is determined accurately.
According to an aspect of further embodiments of the present disclosure, there is provided a device management apparatus including: a design unit configured to build a device time-by-time simulation model; the energy efficiency ratio obtaining unit is configured to obtain a committed energy efficiency ratio of the long-term operation of the equipment according to the time-by-time simulation model based on the equipment performance attenuation parameter; and the operation state determination unit is configured to determine whether the operation state of the equipment is abnormal according to the long-term operation committed energy efficiency ratio.
In some embodiments, the design unit is configured to: establishing a time-by-time simulation model of the equipment according to a design scheme; modifying the design scheme according to the simulation result of the time-by-time simulation model so as to enable the design commitment energy efficiency ratio to be larger than the target energy efficiency ratio; the updating of the design is synchronized to the time-wise simulation model.
In some embodiments, the device management apparatus further comprises: a factory test unit configured to, after device design and manufacture is complete: acquiring all-working-condition performance data of equipment under actual measurement; and performing short-step and long-step dynamic simulation according to the all-condition performance data, and acquiring a control strategy of the equipment for ensuring that the energy efficiency ratio of the equipment reaches the promised energy efficiency ratio so that the installed equipment can operate according to the control strategy.
In some embodiments, the device management apparatus further comprises: an adaptation unit configured to, after completion of the device installation: acquiring actual operation parameters of equipment; and correcting the time-by-time simulation model according to the actual operation parameters.
In some embodiments, the energy efficiency ratio obtaining unit is further configured to modify the design committed energy efficiency ratio according to the modified time-by-time simulation model, and obtain an actual committed energy efficiency ratio; the operating state determination unit is further configured to determine whether an operating state of the device is normal according to the actual committed energy efficiency ratio.
According to an aspect of still other embodiments of the present disclosure, a device management apparatus is provided, including: a memory; and a processor coupled to the memory, the processor configured to perform any of the above method of device management based on instructions stored in the memory.
The device can obtain the individualized long-term operation committed energy efficiency ratio of the equipment based on the time-by-time simulation model, and further judge the operation state of the equipment by taking the energy efficiency ratio as a reference, thereby taking the aging condition of the equipment into consideration, improving the accuracy of judging the abnormal state of the equipment and being beneficial to accurately determining the maintenance time of the equipment.
According to an aspect of still further embodiments of the present disclosure, a computer-readable storage medium is proposed, on which computer program instructions are stored, which instructions, when executed by a processor, perform the steps of any of the above device management methods.
By executing the instructions on the computer-readable storage medium, the individualized long-term operation committed energy efficiency ratio of the equipment can be obtained through the time-by-time simulation model, and then the operation state of the equipment is judged by taking the energy efficiency ratio as a reference, so that the aging condition of the equipment is taken into consideration, the accuracy of judging the abnormal state of the equipment is improved, and the equipment maintenance opportunity is determined accurately.
Further, according to an aspect of some embodiments of the present disclosure, there is provided an air conditioning system including: any one of the above device management apparatuses.
In some embodiments, the air conditioning system further comprises an air conditioner configured to operate under control of the equipment management device and to provide operating parameters to the equipment management device.
The air conditioning system can obtain the individualized long-term operation committed energy efficiency ratio of the equipment based on the time-by-time simulation model, and further judge the operation state of the equipment by taking the energy efficiency ratio as a reference, thereby taking the aging condition of the equipment into consideration, improving the accuracy of judging the abnormal state of the equipment and being beneficial to accurately determining the maintenance time of the equipment.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and not to limit the disclosure. In the drawings:
fig. 1 is a flow diagram of some embodiments of a device management method of the present disclosure.
Fig. 2 is a flow chart of further embodiments of a device management method of the present disclosure.
Fig. 3 is a schematic diagram of some embodiments of a device management apparatus of the present disclosure.
Fig. 4 is a schematic diagram of other embodiments of a device management apparatus of the present disclosure.
Fig. 5 is a schematic diagram of further embodiments of the device management apparatus of the present disclosure.
Fig. 6 is a schematic diagram of some embodiments of an air conditioning system of the present disclosure.
Detailed Description
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
A flow diagram of some embodiments of a device management method of the present disclosure is shown in fig. 1.
In step 101, a time-by-time simulation model of the device is built. In some embodiments, a time-by-time simulation model may be built for existing air conditioners. In other embodiments, a device time-by-time simulation model may be built based on design considerations. In some embodiments, the air conditioner may be designed according to a target energy efficiency ratio of the air conditioner, and the designed committed energy efficiency ratio may be slightly higher than the target energy efficiency ratio. Since the energy efficiency ratio of the equipment is usually higher in cost, the design commitment energy efficiency ratio can be improved as much as possible based on the estimated cost.
In step 102, based on the equipment performance attenuation parameters, energy consumption simulation is performed according to the time-by-time simulation model, and a committed energy efficiency ratio of the equipment in long-term operation is obtained. In some embodiments, equipment performance degradation may be justified year by year, with justified corrections based on the current actual conditions of the equipment. For example, during long-term operation, air conditioning system energy efficiency may exhibit a tendency to decline. The reasons are manifold, such as: when the performance of the water chilling unit is reduced, the water quality of the air conditioning system is deteriorated, and the like, appropriate correction can be made along with the increase of the operation time, such as 1 st year, 2 nd to 3 rd year, 3 rd to 5 th year, 5 th to 10 th year, and the like.
In step 103, it is determined whether the operation state of the device is abnormal based on the long-term operation committed energy efficiency ratio. In some embodiments, the current committed energy efficiency ratio may be determined according to the modified long-term operation committed energy efficiency ratio, and if the current year is the 3 rd year of the operation of the device, the value of the third year in the long-term operation committed energy efficiency ratio is used as the current committed energy efficiency ratio. In some embodiments, whether the actual operation energy efficiency of the system is reasonable or not may be periodically analyzed, and if the actual energy efficiency ratio is smaller than the current committed energy efficiency ratio, an abnormal phenomenon of the equipment is predicted, and an alarm is given, so that the equipment maintenance is performed in time. In some embodiments, if the actual energy efficiency ratio is not less than the current committed energy efficiency ratio, the device is in a normal operation state, and most of the attenuation of the energy efficiency ratio is caused by normal aging of the device.
By the method, the individualized long-term operation committed energy efficiency ratio of the equipment can be obtained through the time-by-time simulation model, and the operation state of the equipment is judged by taking the energy efficiency ratio as a reference, so that the aging condition of the equipment is taken into account, the accuracy of judging the abnormal state of the equipment is improved, and the equipment maintenance opportunity is determined accurately.
In some embodiments, because the construction process may not be completely constructed according to the design drawing in the actual installation, which may cause the energy efficiency to be reduced, or the water system pipelines, water pumps, cooling towers, terminals and the like adopted by different first parties purchasing the same unit equipment are different, and the energy efficiency ratios may be different depending on the equipment operating environments, such as different building loads and different climates, after the equipment installation is completed, the time-by-time simulation model and the committed energy efficiency ratio may be corrected based on the actual operating data, and the long-term committed energy efficiency ratio is generated based on the corrected time-by-time simulation model, so that the degree of coincidence between the model and the equipment condition is ensured, the rationality of the long-term committed energy efficiency ratio and the degree of matching with the equipment are improved, and the accuracy of determining the abnormal state is.
A flow diagram of further embodiments of the device management method of the present disclosure is shown in fig. 2.
In step 201, a time-by-time simulation model of the plant is built according to the design.
In step 202, the design solution is modified according to the simulation results of the time-wise simulation model such that the design commitment energy efficiency ratio is greater than the target energy efficiency ratio. In some embodiments, the energy efficiency ratio can be improved by optimizing system design parameters, improving equipment model selection energy efficiency, optimizing water pipeline system design and other measures. The improvement of energy efficiency often requires more equipment cost, and the cost is often exponentially increased along with the energy efficiency. From the technical point of view, the situation that the equipment performance cannot be achieved and the construction process is not completely constructed according to the design drawing is inevitable, so that the energy efficiency is reduced. Therefore, considering the cost and the technical risk together, the design commitment value is generally slightly higher than the lowest energy efficiency of the system required by Party A.
In step 203, the design update is synchronized to the time-wise simulation model, thereby ensuring that the time-wise simulation model is consistent with the device design state.
In some embodiments, step 202 and step 203 may be repeatedly performed, the design may be continuously optimized and the time-by-time simulation model may be updated, and the updated time-by-time simulation model may be used for verification until the design commitment energy efficiency ratio is greater than the target energy efficiency ratio, or the energy cost may be reduced as much as possible on the basis of achieving the target energy efficiency ratio.
After the design is completed, the equipment is produced. After the device is manufactured, step 204 is executed to perform pre-factory testing.
In step 204, full condition performance data of the equipment under actual measurement is acquired. In some embodiments, a performance curve of the device under full operating conditions may be obtained.
In step 205, a short-step dynamic simulation is performed according to the performance data of the full operating condition, and a control strategy of the device that ensures that the energy efficiency ratio of the device reaches the committed energy efficiency ratio is obtained. In some embodiments, the optimization of the control strategy may specifically include: the energy efficiency characteristic of the cooling machine is taken as a core, the energy efficiency coupling problem of a cooling system is solved, the number and frequency of cooling water pumps, the number and frequency of cooling tower fans and the like are optimally adjusted, and the lowest sum of the energy consumption of the cooling water pumps, the cooling tower fans and the cooling machine is realized; the number and the frequency of the freezing water pumps are adjusted as required, so that the energy consumption of the water pumps is reduced; according to the building load and the performance curve of the refrigerating machines, the number of the refrigerating machines and the water outlet temperature are adjusted as required, and the energy consumption of the unit is reduced; the wind-water linkage control technology is adopted, the change of the building load is accurately predicted through the tail end of an air conditioner (such as an air handling unit), and the cold output of system equipment is adjusted according to the requirement.
In some embodiments, the simulation operation may be implemented by using specification parameters, expected compliance, weather conditions, etc. of the device as parameter values for the simulation operation of the model. In some embodiments, a short-step dynamic simulation model of the equipment (for example, a 10s step length) can be established according to all-condition data, the model is connected with a group control system, the group control system is arranged in an approaching real equipment simulation environment to run in real time, the group control system sends a control command (for example, start and stop of a cold machine, water pump frequency, set water temperature of the cold machine and the like) to the dynamic simulation model, and after 10s, the dynamic simulation model calculates corresponding running parameters (for example, water temperature, flow, pressure, power, cold load and the like) according to the group control command and feeds back the corresponding running parameters to the group control system; and the group control system updates the control command according to the operation parameters and the control strategy, sends the control command to the dynamic simulation model, updates the corresponding operation parameters through calculation by the model after 10s, feeds back the operation parameters to the group control system, and circulates in the way, the control strategy is adjusted in the operation process, and the optimal control strategy is obtained based on the working state of the equipment. And recording the obtained control strategy as the control strategy of the equipment in actual operation, so that the control strategy of the equipment meets the individual requirements of the equipment.
Taking a central air-conditioning system as an example, a manufacturer can only test the full working condition energy efficiency of a water chilling unit before leaving a factory, the water chilling unit is a core component of the air-conditioning system, and the whole operation test is difficult to realize before completing a water pump, a cooling tower, a pipeline and the like. By establishing a model (actually measured curves for the performance of the water chilling unit, parameters of equipment specifications of other equipment such as a water pump and a cooling tower, virtual values of load, weather and the like), the actual operation of the air conditioning system under different working conditions is simulated, the energy efficiency of the central air conditioning system is subjected to simulation test, and the requirement of the energy efficiency ratio is met.
And after the factory test of the equipment is finished, the equipment is installed at the target position. The actual energy efficiency ratio of the equipment may be affected due to installation environment, installation process, operational errors, etc. After the installation is complete, step 206 is performed.
In step 206, actual operating parameters of the device are obtained. In some embodiments, the operating parameter may include an actual energy efficiency ratio. In some embodiments, the operating parameters further include one or more of system load rate, meteorological parameters, operating mode, and the like.
In step 207, the time-wise simulation model is modified based on the actual operating parameters such that the state of the time-wise simulation model matches the actual state of the plant.
In step 208, the design committed energy efficiency ratio is modified according to the modified hourly simulation model, and an actual committed energy efficiency ratio is obtained. In some embodiments, the modified model may be used to perform simulation operation, obtain the energy efficiency ratio that the equipment can achieve in the actual installation and operation states, and thus modify the committed energy efficiency ratio. In some embodiments, the design committed energy efficiency ratio may also be modified based on the actual energy efficiency ratio.
In some embodiments, based on the field actual measurement result, the energy efficiency of the equipment is checked to reach the manufacturer nominal value, and the system operation parameters reach the design requirements, so as to ensure that the energy efficiency ratio of the actual operation of the equipment reaches the adjusted and corrected commitment value.
In step 209, the long-term-operation committed energy efficiency ratio of the plant is modified according to the time-by-time simulation model based on the plant performance decay parameters.
In step 210, it is determined whether the actual energy efficiency ratio is equal to or greater than the current committed energy efficiency ratio. If the actual energy efficiency ratio is greater than or equal to the current committed energy efficiency ratio, go to step 211; otherwise, step 210 is performed. In some embodiments, the actual cooling capacity and power consumption over a period of time may be counted, for example, the annual cumulative cooling capacity and power consumption may be counted, and the actual energy efficiency ratio may be calculated.
In step 211, the device operating state is determined to be normal.
In step 212, it is determined that the device operating condition is abnormal, which may be caused by a device failure. In some embodiments, an alert message may be issued to alert the device to maintenance. In some embodiments, the current actual energy efficiency ratio may also be optimized by modifying the control parameters.
By the method, the time-by-time simulation model and the equipment state can be ensured to be synchronous in each link of design, test, adjustment and long-term operation, so that the target energy efficiency ratio is ensured to be reached as far as possible, the reasonable energy efficiency ratio of each moment is obtained by considering the actual condition of the equipment, the equipment operation state is measured based on the energy efficiency ratio, the equipment abnormal state judgment accuracy is improved, and the control strategy of the equipment is optimized. In addition, the system energy efficiency can be uniformly managed in the whole process of design, delivery, construction, debugging and operation, the operation level of each link can be checked conveniently, the promised energy efficiency ratio is ensured not to deviate in a long-term operation state, and long-term efficient and stable operation is realized.
A schematic diagram of some embodiments of the device management apparatus of the present disclosure is shown in fig. 3.
Design unit 301 is capable of building a time-by-time simulation model of the device. In some embodiments, a time-by-time simulation model may be built for existing air conditioners. In other embodiments, a device time-by-time simulation model may be built based on design considerations. In some embodiments, the air conditioner may be designed according to a target energy efficiency ratio of the air conditioner, and the designed committed energy efficiency ratio may be slightly higher than the target energy efficiency ratio.
The energy efficiency ratio correction unit 302 can build a device time-by-time simulation model based on the design of the device. In some embodiments, the air conditioner may be designed according to a target energy efficiency ratio of the air conditioner, and the designed committed energy efficiency ratio may be slightly higher than the target energy efficiency ratio.
The operation state determination unit 303 can determine whether the operation state of the device is abnormal based on the long-term operation committed energy efficiency ratio. In some embodiments, if the actual energy efficiency ratio is smaller than the current committed energy efficiency ratio, an abnormal phenomenon of the equipment is predicted, and an alarm is given out so as to maintain the equipment in time; if the actual energy efficiency ratio is not less than the current committed energy efficiency ratio, the equipment is in a normal operation state, and most of the attenuation of the energy efficiency ratio is generated due to normal aging of the equipment.
The device can obtain the individualized long-term operation committed energy efficiency ratio of the equipment based on the time-by-time simulation model, and further judge the operation state of the equipment by taking the energy efficiency ratio as a reference, thereby taking the aging condition of the equipment into consideration, improving the accuracy of judging the abnormal state of the equipment and being beneficial to accurately determining the maintenance time of the equipment.
In some embodiments, design unit 301 may be capable of creating a time-wise simulation model of the plant based on the design solution and modifying the design solution based on simulation results of the time-wise simulation model such that the design commitment energy efficiency ratio is greater than the target energy efficiency ratio. In some embodiments, the energy efficiency ratio can be improved by optimizing system design parameters, improving equipment model selection energy efficiency, optimizing water pipeline system design and other measures. The design unit 301 synchronizes the update of the design scheme to the time-by-time simulation model, thereby ensuring that the time-by-time simulation model is consistent with the device design state. In some embodiments, the design unit 301 may continuously optimize the design and update the time-by-time simulation model, and perform verification using the updated time-by-time simulation model until the design commitment energy efficiency ratio is greater than the target energy efficiency ratio, or the energy cost can be reduced as much as possible on the basis of achieving the target energy efficiency ratio.
In some embodiments, as shown in fig. 3, the device management apparatus may further include a factory test unit 304, which is capable of acquiring the full working condition performance data of the device under actual measurement after the device is designed and manufactured; and performing short-step and long-step dynamic simulation according to the performance data of the all-working condition to obtain a control strategy of the equipment for ensuring that the energy efficiency ratio of the equipment reaches the promised energy efficiency ratio.
Compared with the test that the factory test in the related technology is only directed at the water chilling unit, the device management device can comprehensively and accurately grasp the performance of the air conditioning system, so that the control strategy of the device meets the individual requirements of the device.
In some embodiments, as shown in fig. 3, the equipment management apparatus may further include an adapting unit 305, which is capable of obtaining actual operation parameters of the equipment after the equipment installation is completed, and modifying the time-by-time simulation model according to the actual operation parameters, so that the state of the time-by-time simulation model matches the actual state of the equipment.
In some embodiments, the energy efficiency ratio obtaining unit 302 is further capable of modifying the design committed energy efficiency ratio according to the modified time-by-time simulation model to obtain the actual committed energy efficiency ratio. In some embodiments, the modified model may be used to perform simulation operation, obtain the energy efficiency ratio that the equipment can achieve in the actual installation and operation states, and thus modify the committed energy efficiency ratio. In some embodiments, the design committed energy efficiency ratio may also be modified based on the actual energy efficiency ratio. The operation state determination unit 303 can also determine whether the operation state of the device is normal according to the actual committed energy efficiency ratio.
The system can ensure that the time-by-time simulation model is synchronous with the equipment state in each link of design, test, adjustment and long-term operation, thereby obtaining the reasonable energy efficiency ratio of each moment of the equipment in consideration of the actual condition of the equipment while ensuring that the target energy efficiency ratio is reached as far as possible, measuring the equipment operation state based on the energy efficiency ratio, improving the accuracy of judging the abnormal state of the equipment, being beneficial to optimizing the control strategy of the equipment, ensuring that the equipment does not deviate from the committed energy efficiency ratio in the long-term operation state, and realizing long-term efficient stable operation.
A schematic structural diagram of an embodiment of the device management apparatus of the present disclosure is shown in fig. 4. The device management apparatus includes a memory 401 and a processor 402. Wherein: the memory 401 may be a magnetic disk, flash memory, or any other non-volatile storage medium. The memory is for storing instructions in the corresponding embodiments of the device management method above. The processor 402 is coupled to the memory 401 and may be implemented as one or more integrated circuits, such as a microprocessor or microcontroller. The processor 402 is configured to execute instructions stored in the memory, so as to improve the accuracy of determining the abnormal state of the device and facilitate the accuracy in determining the maintenance time of the device.
In one embodiment, as also shown in fig. 5, the device management apparatus 500 includes a memory 501 and a processor 502. The processor 502 is coupled to the memory 501 by a BUS 503. The device management apparatus 500 may also be connected to an external storage apparatus 505 through a storage interface 504 to call external data, and may also be connected to a network or another computer system (not shown) through a network interface 506. And will not be described in detail herein.
In the embodiment, the data instruction is stored in the memory, and the processor processes the instruction, so that the accuracy of judging the abnormal state of the equipment can be improved, and the maintenance opportunity of the equipment can be determined accurately.
In another embodiment, a computer-readable storage medium has stored thereon computer program instructions which, when executed by a processor, implement the steps of the method in the corresponding embodiment of the device management method. As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, apparatus, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure also provides an air conditioning system including any one of the above-mentioned equipment management devices. In some embodiments, the device management apparatus monitors the air conditioner from the design of the air conditioner, including the processes of factory test and installation adjustment, for example, in the design stage, by optimizing system design parameters, device model selection, pipeline design, and the like, a system energy efficiency ratio commitment value is achieved; in a factory leaving stage, the energy efficiency ratio of the system promised during design is ensured to be met when equipment leaves a factory by optimizing a system control strategy; in the adjustment stage, checking that the energy efficiency of the equipment reaches a manufacturer nominal value, and the system operation parameters reach design requirements, so as to ensure that the energy efficiency ratio of the actual operation system of the air-conditioning system reaches an adjusted and corrected commitment value; and in a long-term operation stage, early warning is carried out on possible faults and equipment low-efficiency operation, the requirement of maintenance is put forward, and a system control strategy is optimized.
The air conditioning system can obtain the individualized long-term operation committed energy efficiency ratio of the equipment based on the time-by-time simulation model, and further judge the operation state of the equipment by taking the energy efficiency ratio as a reference, thereby taking the aging condition of the equipment into consideration, improving the accuracy of judging the abnormal state of the equipment and being beneficial to accurately determining the maintenance time of the equipment.
In some embodiments, the air conditioning system of the present disclosure is shown in fig. 6. The air conditioning system also includes an air conditioner 62, such as a central air conditioner or the like, capable of operating under the control of the equipment management device and providing operating parameters to the equipment management device. Through the full life cycle energy efficiency and health management, the air conditioning system is ensured to reach the unified system energy efficiency ratio commitment level in the whole process of design, construction, adjustment and long-term operation, and long-term high-efficiency operation is realized.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Thus far, the present disclosure has been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
Finally, it should be noted that: the above examples are intended only to illustrate the technical solutions of the present disclosure and not to limit them; although the present disclosure has been described in detail with reference to preferred embodiments, those of ordinary skill in the art will understand that: modifications to the specific embodiments of the disclosure or equivalent substitutions for parts of the technical features may still be made; all such modifications are intended to be included within the scope of the claims of this disclosure without departing from the spirit thereof.
Claims (9)
1. A device management method, comprising:
establishing a device time-by-time simulation model;
based on the equipment performance attenuation parameters, obtaining the long-term operation committed energy efficiency ratio of the equipment according to the time-by-time simulation model;
determining whether the running state of the equipment is abnormal or not according to the long-term running committed energy efficiency ratio, wherein the determining comprises the following steps: determining the current committed energy efficiency ratio according to the long-term operation committed energy efficiency ratio and the current moment; and if the actual energy efficiency ratio is smaller than the current committed energy efficiency ratio, sending an alarm.
2. The method of claim 1, wherein said building a time-wise simulation model comprises:
establishing a time-by-time simulation model of the equipment according to a design scheme;
modifying a design scheme according to the simulation result of the time-by-time simulation model so as to enable the design commitment energy efficiency ratio to be larger than the target energy efficiency ratio;
synchronizing updates of the design to the time-wise simulation model.
3. The method of claim 2, further comprising, after completing device design and manufacture:
acquiring all-working-condition performance data of equipment under actual measurement;
and performing short-step and long-step dynamic simulation according to the all-condition performance data, and acquiring a control strategy of the equipment for ensuring that the actual energy efficiency ratio of the equipment reaches the promised energy efficiency ratio so that the installed equipment can operate according to the control strategy.
4. The method of claim 3, further comprising, after completing the device installation:
acquiring actual operation parameters of equipment, wherein the actual operation parameters comprise an actual energy efficiency ratio and one or more of a system load rate, meteorological parameters or an operation mode;
and correcting the time-by-time simulation model according to the actual operation parameters.
5. The method of claim 4, further comprising:
and correcting the design committed energy efficiency ratio according to the corrected time-by-time simulation model, and determining whether the running state of the equipment is normal or not according to the corrected result.
6. A device management apparatus comprising:
a design unit configured to build a device time-by-time simulation model;
the energy efficiency ratio obtaining unit is configured to obtain a committed energy efficiency ratio of the long-term operation of the equipment according to the time-by-time simulation model based on the equipment performance attenuation parameter;
an operation state determination unit configured to determine whether an operation state of a device is abnormal according to the long-term operation committed energy efficiency ratio, including: determining the current committed energy efficiency ratio according to the long-term operation committed energy efficiency ratio and the current moment; and if the actual energy efficiency ratio is smaller than the current committed energy efficiency ratio, sending an alarm.
7. A device management apparatus comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of any of claims 1-5 based on instructions stored in the memory.
8. A computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 5.
9. An air conditioning system comprising:
the device management apparatus of claim 6 or 7.
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| CN112484232B (en) * | 2020-11-23 | 2022-10-14 | 珠海格力电器股份有限公司 | Air conditioner control method and device with expert diagnosis function and air conditioning unit |
| CN113757943B (en) * | 2021-09-17 | 2023-03-24 | 广东电网有限责任公司 | Air conditioning system fault diagnosis method and system based on fault judgment rule |
| CN115875802A (en) * | 2021-09-26 | 2023-03-31 | 中国移动通信集团浙江有限公司 | Air conditioner refrigerating capacity evaluation method, device and equipment and readable storage medium |
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