CN110953687A - Health degree evaluation method and system of air conditioner and storage medium - Google Patents

Health degree evaluation method and system of air conditioner and storage medium Download PDF

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CN110953687A
CN110953687A CN201910957612.2A CN201910957612A CN110953687A CN 110953687 A CN110953687 A CN 110953687A CN 201910957612 A CN201910957612 A CN 201910957612A CN 110953687 A CN110953687 A CN 110953687A
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熊钧
徐永凯
吴良柱
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Zhuhai Pilot Technology Co ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
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Abstract

The invention discloses a health degree evaluation method and system of an air conditioner and a storage medium, wherein the evaluation method comprises the following steps: calculating a fault influence factor IA of each air conditioner according to the fault type ft and the fault grade fd; calculating a fault reservation factor IB of each air conditioner according to the repaired fault type ft 'and the repaired fault level fd' in the historical maintenance record; calculating a starting influence factor IC of each air conditioner according to the accumulated starting times; calculating an operation influence factor ID of each air conditioner according to the operation time length; calculating the health IH of each air conditioner by combining a fault influence factor IA, a fault reservation factor IB, a starting influence factor IC and an operation influence factor ID; and comparing the IH index with a preset value, and executing operation keeping, replacement or maintenance operation on the air conditioner according to the comparison result. According to the invention, the state of the air conditioner is evaluated according to the health IH, so that the comprehensive service life of the air conditioner can be prolonged to the maximum extent.

Description

Health degree evaluation method and system of air conditioner and storage medium
Technical Field
The invention relates to the field of indoor air conditioner health degree evaluation, in particular to a method and a system for evaluating the health degree of an air conditioner and a storage medium.
Background
In order to maintain or reduce the indoor temperature, a large number of air conditioners are installed indoors, but the control and management modes of a plurality of air conditioners are lagged behind at present, the indoor air conditioners can only be turned off or on uniformly, the states of the air conditioners are not controlled according to the actual indoor environment, the failure rate of the indoor air conditioners is high, the maintenance workload of the air conditioners is large, and the high maintenance cost is paid by an operating unit. According to the New Buildings Institute 2004, 71% of the air conditioners were operated with a fault. The 2008 survey of the California Energy Committee (CEC) indicates that the actual operating efficiency of the split air conditioner is generally 20-30% lower than the rated one due to improper installation and maintenance, so that the effective service life of the equipment is shortened while the power consumption is greatly increased.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention aims to provide an air conditioner health degree evaluation method, which is used for calculating the health degree of an air conditioner by combining factors such as the fault state of the air conditioner, maintenance records, running time, starting times and the like, and guiding the running, maintenance and replacement of the air conditioner according to health degree indexes, so that the running reliability of the air conditioner is guaranteed, and the comprehensive service life of equipment is prolonged to the maximum extent.
Another object of the present invention is to provide a health evaluation system for an air conditioner, which performs the above evaluation method.
It is a further object of the present invention to provide a storage medium.
One of the purposes of the invention is realized by adopting the following technical scheme:
a health degree evaluation method of an air conditioner comprises the following steps:
collecting operation records of each indoor air conditioner, wherein the operation records comprise a fault type ft, a fault grade fd, a historical maintenance record, an accumulated starting time and an accumulated operation time of each air conditioner;
calculating a fault influence factor IA of each air conditioner according to the fault type ft and the fault grade fd;
calculating a fault reservation factor IB of each air conditioner according to the repaired fault type ft 'and the repaired fault level fd' in the historical maintenance record;
calculating a starting influence factor IC of each air conditioner according to the accumulated starting times;
calculating an operation influence factor ID of each air conditioner according to the operation time length;
calculating the health IH of each air conditioner by combining a fault influence factor IA, a fault reservation factor IB, a starting influence factor IC and an operation influence factor ID;
and comparing the IH index with a preset value, and executing operation keeping, replacement or maintenance operation on the air conditioner according to the comparison result.
Further, the fault types ft are classified into A, B, C types, wherein the fault type ft of the type A is a fault condition affecting the service life of the air conditioner; the type B fault type ft is a fault condition which directly influences the refrigeration effect of the air conditioner; the type of failure ft in class C is a failure condition that directly affects power consumption.
Further, the method for calculating the fault influence factor IA includes:
Figure BDA0002227855440000021
wherein, X1In the range of 30% to 60%, X2Is in the range of 30% to 50%.
Further, the method for calculating the fault reservation factor IB comprises the following steps:
IB=∑fL(ft′,fd′);
wherein,
Figure BDA0002227855440000033
the repaired fault type ft' of the type A in the formula is the fault condition affecting the service life of the air conditioner; the repaired fault type ft' of the type B is a fault condition directly influencing the refrigeration effect of the air conditioner; the repaired fault type ft' of the class C is a fault condition that directly affects power consumption; wherein, X1In the range of 30% to 60%, X2In the range of 30% to 50%, Y1In the range of 5% to 15%, Y2In the range of 3% to 10%, Y3Is in the range of 5% to 10%.
Further, the calculation method of the start impact factor IC is as follows:
Figure BDA0002227855440000031
wherein N is the planned starting times of the air conditioner, and N is the actual started times.
Further, the method for calculating the operation impact factor ID comprises the following steps:
Figure BDA0002227855440000032
wherein M is the planned operation time of the air conditioner, and M is the actual operation time of the air conditioner.
Further, the calculation method of the health IH comprises:
IH is 100% -max (IA, IB, IC, ID) formula (5).
Further, the comparison result comprises three conditions, and if the health IH index is smaller than the lower limit preset value, the air conditioner is replaced; if the index of the health degree IH is greater than or equal to the upper limit preset value, the air conditioner keeps the running state; and if the index of the health degree IH is between the upper limit preset value and the lower limit preset value, maintaining the air conditioner.
The second purpose of the invention is realized by adopting the following technical scheme:
a health degree evaluation system of an air conditioner, which executes the health degree evaluation method of the air conditioner, comprising:
the acquisition module is responsible for acquiring the operation record of each indoor air conditioner;
the influence factor calculation module is in signal communication with the acquisition module and is responsible for receiving the operation records of the acquisition module, calculating a fault influence factor IA, a fault reservation factor IB, a starting influence factor IC and an operation influence factor ID of each air conditioner according to the operation records, and transmitting the four influence factors to the health degree calculation module;
the health degree calculation module is in signal communication with the influence factor calculation module, calculates the health degree IH of each air conditioner by combining the four influence factors and transmits the health degree IH to the central control module;
the central control module is communicated with the health degree calculation module, compares the health degree IH of each air conditioner with a preset value, and generates an operation suggestion corresponding to each air conditioner according to a comparison result;
and the display module is in signal communication with the central control module and receives and displays the operation suggestion.
The third purpose of the invention is realized by adopting the following technical scheme:
a storage medium having stored thereon a computer program which, when executed, implements a health evaluation method of an air conditioner as described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention calculates the health degree of the air conditioner through the fault state, the maintenance record, the running time and the starting times of the air conditioner, and guides the air conditioner to run, maintain and replace in time based on the health degree of the air conditioner, thereby fully solving the problems that the air conditioner in a machine room is overused, runs with faults and even goes down but cannot be monitored, reducing the high-temperature accidents of the machine room caused by the air conditioner problem to the maximum extent, ensuring that the air conditioning equipment participating in running is the most stable, ensuring the running reliability and prolonging the comprehensive service life of the equipment to the maximum extent.
Drawings
Fig. 1 is a flowchart of an air conditioner health degree evaluation method according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict.
Example one
In the embodiment, as shown in fig. 1, the health IH index of each indoor air conditioner is obtained through the following air conditioner health IH data model:
firstly, acquiring a fault type ft and a fault grade fd of each air conditioner, and calculating a fault influence factor IA of each air conditioner according to the fault type ft and the fault grade fd in combination with a formula (1);
Figure BDA0002227855440000051
wherein, X1In the range of 30% to 60%, X2The range of (1) is 30-50%;
and in the preferred embodiment, X160% of X2Is 50%, then:
Figure BDA0002227855440000052
the fault type ft is a fault condition of three different degrees defined by fault names, wherein the fault names include but are not limited to fluorine shortage, dirty and blocked outdoor unit, starting fault of external fan, starting fault of compressor and the like; the three fault types ft with different degrees comprise a type A, a type B and a type C, wherein the type A fault generally affects the service life of the air conditioner, and the type A fault generally affects the refrigeration effect and the power consumption of the air conditioner, such as a compressor starting fault and the like; the B type is a fault which directly influences the refrigeration effect of the air conditioner and also influences the power consumption, such as lack of fluorine and the like; the category C is a failure that directly affects power consumption, for example, an outdoor unit is dirty.
The fault level fd is the severity of a certain fault type, and in this embodiment, the severity of the fault is represented in percentage, for example, fluorine deficiency occurs, and 10% and 60% of the fluorine deficiency greatly affect the cooling/heating effect of the air conditioner and the service life of the air conditioner, specifically, the severity of the fault includes a fault level, a fault energy consumption impact factor, a fault comfort impact factor and a fault service life impact factor.
Secondly, collecting historical maintenance records of each air conditioner, and calculating a fault reservation factor IB of each air conditioner according to the repaired fault type ft 'and the repaired fault level fd' in the maintenance records in combination with a formula (2);
IB=∑fL(ft′,fd′);
Figure BDA0002227855440000061
wherein, X1In the range of 30% to 60%, X2In the range of 30% to 50%, Y1In the range of 5% to 15%, Y2In the range of 3% to 10%, Y3The range of (A) is 5 to 10 percent;
and in the preferred embodiment, X160% of X250% of Y110% of Y23% of Y3Is 5 percent:
Figure BDA0002227855440000062
the repaired fault type ft 'is similar to the above fault type ft, the fault type ft is a fault which occurs in the process that each air conditioner is put into application, and includes a repaired fault and an unrepaired fault, the repaired fault type ft' is a repaired fault in the occurred faults, the same repaired fault type ft 'also includes A, B and C, and the repaired fault type ft' of the A type is a fault condition affecting the service life of the air conditioner; the repaired fault type ft' of the type B is a fault condition directly influencing the refrigeration effect of the air conditioner; the repaired failure type ft' of the class C is a failure condition that directly affects power consumption.
Furthermore, counting the accumulated starting times of each air conditioner, and calculating a starting influence factor IC of each air conditioner according to the accumulated starting times and a formula (3);
Figure BDA0002227855440000071
wherein N is the planned starting times of the air conditioner, and N is the actual started times.
Finally, counting the accumulated operation time of each air conditioner, and calculating the operation influence factor ID of each air conditioner according to the operation time and a formula (4);
Figure BDA0002227855440000072
wherein M is the planned operation time of the air conditioner, and M is the actual operation time of the air conditioner.
Calculating and obtaining the health degree IH of the air conditioner by combining the four obtained influence factors and a formula (5);
IH is 100% -max (IA, IB, IC, ID) formula (5).
And then, comparing the health degree IH of the air conditioner with a preset value, wherein the comparison result comprises the following three conditions, and the following operation suggestions can be made according to the comparison result: if the index of the health degree IH is less than the lower limit preset value, the air conditioner is replaced, if the index of the health degree IH is greater than or equal to the upper limit preset value, the air conditioner keeps the running state, in the embodiment, the lower limit preset value is 20%, the upper limit preset value is 60%, and if the index of the health degree IH is between 20% and 60%, the air conditioner is maintained.
The air conditioner health degree is calculated through the air conditioner fault state, the maintenance record, the operation duration and the starting times, and the air conditioner operation is guided based on the air conditioner health degree, the maintenance and the replacement are timely performed, the problems that the air conditioner in the machine room is excessively used, the operation with the fault is even down but the supervision cannot be performed are fully solved, the high-temperature accident of the machine room caused by the air conditioner problem is reduced to the maximum extent, the air conditioning equipment participating in the operation is guaranteed to be the most stable, the operation reliability is guaranteed, and the comprehensive service life of the equipment is prolonged to the maximum extent.
After the health degree IH of each indoor air conditioner is obtained, the plurality of air conditioners can be controlled in a linkage mode according to the health degree IH of each air conditioner and indoor environment parameters, and the method comprises the following steps:
step S1: collecting environmental parameters of indoor set areas in real time, judging whether the environmental parameters are in a preset range, and if so, executing a step S5; if not, go to step S2;
in the embodiment, in order to ensure that the temperature and humidity conditions of different indoor areas are consistent, a plurality of air conditioners are uniformly distributed indoors, a plurality of detection devices which are uniformly distributed are arranged indoors, and the air conditioners and the detection devices can be in one-to-one correspondence so as to improve the accuracy of indoor environment parameter acquisition; in this embodiment, the check out test set can be set to temperature and humidity sensor, through the indoor humiture condition of check out test set real-time detection.
In this embodiment, the whole indoor portion may be divided into a plurality of local areas, the set area may be defined as an indoor whole internal space, or a certain local area in the room may be designated as the set area, and then the detection device in the set area is controlled to start, so that the environmental parameters of the local area or the whole area may be detected in a targeted manner, and the air-conditioning linkage control of the local area or the whole area is realized.
In this embodiment, a set area is set as an integral internal space of a machine room, and if the detection devices in the set area are controlled to start, all the detection devices in the machine room are controlled to start, and at this time, each temperature and humidity sensor detects a corresponding detection result, namely a temperature and humidity value, and weighted average values of the temperature and humidity values detected by all the detection devices are taken, that is, weights of the weighted average values are distributed according to importance degrees of the detection areas; for example, if the detection area has a key device, a large weight is set, for example, X is 60%; other detection areas are distributed with X (1-X) according to key equipment of the rest areas; if the key degrees of the remaining areas are consistent, the weight (1-X) is divided equally, so that an environmental parameter of the whole internal space of the machine room can be obtained, and the whole temperature and humidity condition in the machine room can be obtained more evenly and accurately.
And then, comparing the environmental parameters with a preset range, and if the numerical values of the environmental parameters are maintained in the preset range, indicating that the overall indoor temperature and humidity condition is normal, and keeping the current operation state of each indoor air conditioner without adjusting the indoor air conditioners.
Step S2: judging whether the environmental parameter belongs to a first condition exceeding an upper limit value in a preset range or a second condition lower than a lower limit value in the preset range, and if the environmental parameter belongs to the first condition, executing step S3; if the case two is true, go to step S4;
if the temperature or humidity value in the environmental parameters exceeds the upper limit value of the preset range, the overall indoor temperature and humidity are high, and the indoor temperature and humidity are reduced by starting a local air conditioner; if the temperature is lower than the lower limit value in the preset range, the temperature and the humidity of the whole indoor environment are low, and the local air conditioner needs to be turned off to improve the indoor temperature and the indoor environment.
Step S3: if the indoor overall temperature and humidity are higher, the current operation state of each indoor air conditioner is collected, the air conditioner with the highest health degree IH is selected from the air conditioners in the unopened state, the air conditioners are controlled to be started to operate, then the step S1 is skipped and executed, whether the environmental parameters of the air conditioners with the highest health degree IH are recovered to the preset range after the air conditioners with the highest health degree IH are started is judged again by detecting the indoor environmental parameters, and if not, the air conditioners with the highest health degree IH in the air conditioners in the unopened state are selected continuously and started until the indoor environmental parameters are maintained to the preset range.
The number of the air conditioners with the highest health degree IH in the unopened state can be one or more, if the amplitude of the current environmental parameter exceeding the preset range is not large, the air conditioner with the highest health degree IH can be controlled to be opened, if a plurality of air conditioners with the same health degree IH value appear in the period, the detection equipment corresponding to the air conditioners with the same health degree IH can be controlled to detect the current temperature and humidity in real time, and the air conditioner corresponding to the detection equipment with the highest temperature and humidity value obtained through detection is preferentially controlled to be opened.
If the current environmental parameters greatly exceed the preset range, the first air conditioners in the health degree sequencing can be started simultaneously, and if a plurality of air conditioners with the same health degree IH numerical value appear in the period, the air conditioners are controlled to be started and operated synchronously, so that the indoor environmental parameters can be adjusted quickly.
Step S4: if the indoor integral temperature and humidity are low, acquiring the current running state of each indoor air conditioner, selecting the air conditioner with the lowest health degree IH from the air conditioners in the opened state, and controlling the air conditioners to be turned off and unloaded; thereafter, it jumps to and executes step S1;
the principle of this step is the same as that of step S3, and a repeated description thereof will not be made.
Step S5: when the indoor linkage control is finished and the environmental parameters are always maintained within the preset range, the current running state of each air conditioner in the set area can be kept, and the indoor temperature and humidity are maintained within a reasonable range.
Example two
An air conditioner health degree evaluation system for executing the air conditioner health degree evaluation method of the first embodiment comprises:
the acquisition module is responsible for acquiring the operation record of each indoor air conditioner; wherein the operation record includes but not limited to records such as air conditioner fault rate, maintenance record, length of operation and number of times of starting, and wherein all records accessible use the indoor air conditioner wisdom cloud platform and terminal equipment air conditioner housekeeper discernment and record, the collection module then is connected with air conditioner wisdom cloud platform and air conditioner housekeeper wherein, gathers the operating condition, the trouble condition, the maintenance condition of every air conditioner in the room.
The influence factor calculation module is in signal communication with the acquisition module and is responsible for receiving the operation records of the acquisition module, calculating a fault influence factor IA, a fault reservation factor IB, a starting influence factor IC and an operation influence factor ID of each air conditioner according to the operation records, and transmitting the four influence factors to the health degree calculation module;
the health degree calculation module is in signal communication with the influence factor calculation module, calculates the health degree IH of each air conditioner by combining the four influence factors and transmits the health degree IH to the central control module;
the central control module is communicated with the health degree calculation module, compares the health degree IH of each air conditioner with a preset value, and generates the following operation suggestions according to the comparison results, wherein the comparison results comprise the following three conditions: if the index of the health degree IH is less than the lower limit preset value of 20%, the air conditioner is replaced; if the index of the health degree IH is greater than or equal to 60% of the upper limit preset value, the air conditioner keeps the running state; if the health IH index is between the upper limit preset value of 20% and the lower limit preset value of 60%, maintaining the air conditioner;
and the display module is in signal communication with the central control module and receives and displays the operation suggestion.
EXAMPLE III
The present invention also provides a storage medium in which a computer program is stored, the computer program implementing the steps of the health degree evaluation method when executed by a processor.
The invention is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.

Claims (10)

1. A health degree evaluation method of an air conditioner is characterized by comprising the following steps:
collecting operation records of each indoor air conditioner, wherein the operation records comprise a fault type ft, a fault grade fd, a historical maintenance record, an accumulated starting time and an accumulated operation time of each air conditioner;
calculating a fault influence factor IA of each air conditioner according to the fault type ft and the fault grade fd;
calculating a fault reservation factor IB of each air conditioner according to the repaired fault type ft 'and the repaired fault level fd' in the historical maintenance record;
calculating a starting influence factor IC of each air conditioner according to the accumulated starting times;
calculating an operation influence factor ID of each air conditioner according to the operation time length;
calculating the health IH of each air conditioner by combining a fault influence factor IA, a fault reservation factor IB, a starting influence factor IC and an operation influence factor ID;
and comparing the IH index with a preset value, and executing operation keeping, replacement or maintenance operation on the air conditioner according to the comparison result.
2. The health degree evaluation method of an air conditioner according to claim 1, wherein the fault types ft are classified into A, B, C types, wherein the fault type ft of the A type is a fault condition affecting the life of the air conditioner; the type B fault type ft is a fault condition which directly influences the refrigeration effect of the air conditioner; the type of failure ft in class C is a failure condition that directly affects power consumption.
3. The method for evaluating the health of an air conditioner according to claim 1, wherein the method for calculating the fault influence factor IA is:
Figure FDA0002227855430000021
wherein, X1In the range of 30% to 60%, X2Is in the range of 30% to 50%.
4. The health degree evaluation method of the air conditioner according to claim 1, wherein the calculation method of the fault reservation factor IB is:
IB=∑fL(ft′,fd′);
wherein,
Figure FDA0002227855430000022
the repaired fault type ft' of the type A in the formula is the fault condition affecting the service life of the air conditioner; the repaired fault type ft' of the type B is a fault condition directly influencing the refrigeration effect of the air conditioner; the repaired fault type ft' of the class C is a fault condition that directly affects power consumption; wherein, X1In the range of 30% to 60%, X2In the range of 30% to 50%, Y1In the range of 5% to 15%, Y2In the range of 3% to 10%, Y3Is in the range of 5% to 10%.
5. The method for evaluating the health level of an air conditioner according to claim 1, wherein the method for calculating the start-up influence factor IC comprises:
Figure FDA0002227855430000023
wherein N is the planned starting times of the air conditioner, and N is the actual started times.
6. The method for evaluating the health degree of an air conditioner according to claim 1, wherein the method for calculating the operation influence factor ID is:
Figure FDA0002227855430000031
wherein M is the planned operation time of the air conditioner, and M is the actual operation time of the air conditioner.
7. The method for evaluating the health level of an air conditioner according to claim 1, wherein the health level IH is calculated by:
IH is 100% -max (IA, IB, IC, ID) formula (5).
8. The method according to claim 1, wherein the comparison result includes three conditions, and if the IH index is less than a lower preset threshold, the air conditioner is replaced; if the index of the health degree IH is greater than or equal to the upper limit preset value, the air conditioner keeps the running state; and if the index of the health degree IH is between the upper limit preset value and the lower limit preset value, maintaining the air conditioner.
9. A health degree evaluation system of an air conditioner for performing the health degree evaluation method of the air conditioner according to any one of claims 1 to 8, comprising:
the acquisition module is responsible for acquiring the operation record of each indoor air conditioner;
the influence factor calculation module is in signal communication with the acquisition module and is responsible for receiving the operation records of the acquisition module, calculating a fault influence factor IA, a fault reservation factor IB, a starting influence factor IC and an operation influence factor ID of each air conditioner according to the operation records, and transmitting the four influence factors to the health degree calculation module;
the health degree calculation module is in signal communication with the influence factor calculation module, calculates the health degree IH of each air conditioner by combining the four influence factors and transmits the health degree IH to the central control module;
the central control module is communicated with the health degree calculation module, compares the health degree IH of each air conditioner with a preset value, and generates an operation suggestion corresponding to each air conditioner according to a comparison result;
and the display module is in signal communication with the central control module and receives and displays the operation suggestion.
10. A storage medium having stored thereon a computer program which, when executed, implements a method of evaluating the health of an air conditioner according to any one of claims 1 to 8.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113606732A (en) * 2021-08-04 2021-11-05 广东美的暖通设备有限公司 Health degree evaluation method and device, computing equipment and storage medium
CN113654186A (en) * 2021-07-23 2021-11-16 珠海荣邦智能科技有限公司 Air conditioner detection method and device, electronic equipment and storage medium
CN113757943A (en) * 2021-09-17 2021-12-07 广东电网有限责任公司 Air conditioning system fault diagnosis method and system based on fault judgment rule
CN118347197A (en) * 2024-06-17 2024-07-16 上海碳索能源服务股份有限公司 Method, system, medium, program product and terminal for evaluating health degree of refrigeration machine room

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4334176B2 (en) * 2002-01-22 2009-09-30 株式会社東芝 Building energy conservation evaluation monitoring device
CN102799201A (en) * 2012-08-08 2012-11-28 深圳市中兴新地通信器材有限公司 Communication machine room temperature energy-saving control method and system based on equipment life factors
CN103617110B (en) * 2013-11-11 2016-09-07 国家电网公司 Server device condition maintenance system
CN106322657A (en) * 2016-08-23 2017-01-11 海信(山东)空调有限公司 Air conditioner control method, air conditioner controller and air conditioner system
CN106610345A (en) * 2015-10-27 2017-05-03 北京卫星环境工程研究所 Health state monitoring system for spatial environment simulation test equipment
CN107218694A (en) * 2017-04-27 2017-09-29 荆门品创通信科技有限公司 A kind of monitoring method and monitoring system of the health status of air-conditioning
KR20170124431A (en) * 2016-04-29 2017-11-10 단국대학교 산학협력단 A prediction method for the number of occupancy
CN107490485A (en) * 2016-11-15 2017-12-19 宝沃汽车(中国)有限公司 Vehicle health degree detection method, device and vehicle
CN108592352A (en) * 2018-05-09 2018-09-28 国家计算机网络与信息安全管理中心 The prediction technique of water cooling air conditioning system operating status health degree, apparatus and system
CN109421466A (en) * 2017-09-04 2019-03-05 武汉德朗高科汽车电气有限公司 Air-conditioning health monitoring systems and monitoring method for electric motor coach
CN109524104A (en) * 2018-10-15 2019-03-26 珠海格力电器股份有限公司 Equipment control method and device
CN109883012A (en) * 2018-12-29 2019-06-14 珠海格力电器股份有限公司 Reminding method and device for health condition of air conditioner and air conditioner
CN110163451A (en) * 2019-06-03 2019-08-23 北京中科奥创科技有限公司 Health degree prediction technique, system and the computer readable storage medium of HVAC system

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4334176B2 (en) * 2002-01-22 2009-09-30 株式会社東芝 Building energy conservation evaluation monitoring device
CN102799201A (en) * 2012-08-08 2012-11-28 深圳市中兴新地通信器材有限公司 Communication machine room temperature energy-saving control method and system based on equipment life factors
CN103617110B (en) * 2013-11-11 2016-09-07 国家电网公司 Server device condition maintenance system
CN106610345A (en) * 2015-10-27 2017-05-03 北京卫星环境工程研究所 Health state monitoring system for spatial environment simulation test equipment
KR20170124431A (en) * 2016-04-29 2017-11-10 단국대학교 산학협력단 A prediction method for the number of occupancy
CN106322657A (en) * 2016-08-23 2017-01-11 海信(山东)空调有限公司 Air conditioner control method, air conditioner controller and air conditioner system
CN107490485A (en) * 2016-11-15 2017-12-19 宝沃汽车(中国)有限公司 Vehicle health degree detection method, device and vehicle
CN107218694A (en) * 2017-04-27 2017-09-29 荆门品创通信科技有限公司 A kind of monitoring method and monitoring system of the health status of air-conditioning
CN109421466A (en) * 2017-09-04 2019-03-05 武汉德朗高科汽车电气有限公司 Air-conditioning health monitoring systems and monitoring method for electric motor coach
CN108592352A (en) * 2018-05-09 2018-09-28 国家计算机网络与信息安全管理中心 The prediction technique of water cooling air conditioning system operating status health degree, apparatus and system
CN109524104A (en) * 2018-10-15 2019-03-26 珠海格力电器股份有限公司 Equipment control method and device
CN109883012A (en) * 2018-12-29 2019-06-14 珠海格力电器股份有限公司 Reminding method and device for health condition of air conditioner and air conditioner
CN110163451A (en) * 2019-06-03 2019-08-23 北京中科奥创科技有限公司 Health degree prediction technique, system and the computer readable storage medium of HVAC system

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113654186A (en) * 2021-07-23 2021-11-16 珠海荣邦智能科技有限公司 Air conditioner detection method and device, electronic equipment and storage medium
CN113606732A (en) * 2021-08-04 2021-11-05 广东美的暖通设备有限公司 Health degree evaluation method and device, computing equipment and storage medium
CN113606732B (en) * 2021-08-04 2023-04-18 广东美的暖通设备有限公司 Health degree evaluation method and device, computing equipment and storage medium
CN113757943A (en) * 2021-09-17 2021-12-07 广东电网有限责任公司 Air conditioning system fault diagnosis method and system based on fault judgment rule
CN118347197A (en) * 2024-06-17 2024-07-16 上海碳索能源服务股份有限公司 Method, system, medium, program product and terminal for evaluating health degree of refrigeration machine room

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