CN109827289B - Method, device and system for determining system fault - Google Patents
Method, device and system for determining system fault Download PDFInfo
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- CN109827289B CN109827289B CN201910004816.4A CN201910004816A CN109827289B CN 109827289 B CN109827289 B CN 109827289B CN 201910004816 A CN201910004816 A CN 201910004816A CN 109827289 B CN109827289 B CN 109827289B
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Abstract
The invention discloses a method, a device and a system for determining system faults, wherein the system comprises a plurality of types of equipment, and a plurality of types of equipment are arranged; when the running state is full load, determining whether the system is in fault according to the average power consumption of the system in a preset time period; when the running state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices; wherein, the full load is the running state of the system when all the devices in the system are started; the low load is the operating state of the system when a certain number of devices in the system are on, wherein the certain number is less than the total number of devices. Therefore, on the premise of not increasing the cost, the health condition evaluation of the equipment can be provided for the user, and whether the system fails or not can be determined in time, so that the effects of timely overhauling and maintaining the stable operation of the unit can be achieved.
Description
Technical Field
The invention relates to the field of units, in particular to a method, a device and a system for determining system faults.
Background
Currently, in the field of large commercial units, a large number of devices are required to operate together. For example: multiple fans, pumps, and even compressors need to be operated together to meet the user's needs. In order to save energy, the operating state of the unit is usually automatically adjusted according to the target temperature of the unit and the application scenario of the unit. For example: when the unit needs to refrigerate quickly, the equipment can be completely opened; when the ambient temperature reaches the target temperature, operation of some of the devices may be stopped. However, the large number of devices means an increase in the probability of failure, and if the device failure cannot be determined in time, certain inconvenience is caused to the user and the unit is damaged.
In the related art, no effective solution is provided at present for the problem that whether a system fails or not cannot be determined in time when a system with more devices (for example, a commercial large-unit air conditioner) operates.
Disclosure of Invention
In order to solve the problem that whether a system fails or not in time when a system with more devices (such as a commercial large unit air conditioner) runs in the related art, embodiments of the present invention provide a method, an apparatus, and a system for determining a system failure.
In a first aspect, an embodiment of the present invention provides a method for determining a system fault, where the system includes multiple types of devices, and there are multiple devices in each type, and the method includes:
determining an operational state of the system;
when the running state is full load, determining whether the system is in fault according to the average power consumption of the system in a preset time period;
when the operation state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices;
wherein the full load is the running state of the system when all the devices in the system are started; the low load is an operation state of the system when a specific number of devices in the system are turned on, wherein the specific number is smaller than the total number of the devices.
Further, determining the operational state of the system comprises:
determining the running state of the system according to the electricity demand of the user;
when the power consumption demand is greater than or equal to a preset power consumption demand, determining that the running state is the full load;
and when the power consumption demand is less than or equal to the preset power consumption demand, determining that the operation state is the low load.
Further, determining whether the system is faulty according to the average power consumption of the system for a preset time period comprises:
determining a historical minimum average power consumption for the system;
and comparing the average power consumption with the historical minimum average power consumption to determine whether the system fails according to a comparison result.
Further, comparing the average power consumption with the historical minimum average power consumption to determine whether the system is malfunctioning according to the comparison comprises:
if the proportion of the increment to the historical minimum average power consumption is larger than or equal to a preset proportion value, determining that the system fails; wherein the increase amount is the average power consumption amount — the historical minimum average power consumption amount;
and if the proportion of the increase amount to the historical minimum average power consumption is smaller than a preset proportion value, determining that the system has no fault.
Further, determining whether the system is faulty according to the average power consumption of the system for a preset time period comprises:
determining a rated power consumption of the system at full load;
and comparing the average power consumption with the rated power consumption to determine whether the system is in fault according to the comparison result.
Further, comparing the average power consumption with the rated power consumption to determine whether the system is faulty according to the comparison result includes:
determining the system fault if the average power consumption is greater than or equal to the rated power consumption;
determining that the system is not malfunctioning if the average power consumption is less than the rated power consumption.
Further, determining whether the system is malfunctioning based on the power consumption of each device of any one of the types of devices comprises:
determining a power consumption amount of each device in each device type of the system;
determining whether equipment faults exist in the same equipment type according to the size relation between the power consumption of each equipment and the corresponding power consumption threshold value in the same equipment type;
if the same equipment type has equipment faults, determining the system faults;
and if the equipment fault does not exist in each equipment type, determining that the system has no fault.
Further, determining whether an equipment fault exists in the same equipment type according to the size relationship between the power consumption of each equipment and the corresponding power consumption threshold in the same equipment type includes:
if the fluctuation range of the power consumption of each device above and below the power consumption threshold value is smaller than or equal to the corresponding preset fluctuation range, determining that no device fault exists in the same device type;
and if the fluctuation range of the power consumption of at least one device above and below the power consumption threshold value is larger than the preset fluctuation range, determining that the device fault exists in the same device type.
Further, after determining whether the system is failed according to the power consumption of each device in any type of device, the method further comprises:
if the system fault is determined, positioning potential fault equipment;
adjusting operational weights of the potentially faulty devices to reduce energy consumption.
Further, if it is determined that the system is faulty, locating a potentially faulty device comprises:
determining the type of equipment with equipment failure;
controlling all the devices in the device types to alternately operate according to a binary algorithm sequence within preset time; determining the power consumption change condition of the system;
and comparing and analyzing the power consumption change condition, and positioning the potential fault equipment.
Further, adjusting the operational weight of the potentially faulty device comprises:
determining the operation weight of the potential fault equipment according to the operation time and the performance parameters of the potential fault equipment;
wherein, in the case that the running time is the same as the running times of the other devices in the device type where the potentially faulty device is located, the larger the performance parameter is, the lower the running weight is; wherein the performance parameters include: at least one of operating power, operating current, and operating voltage.
Further, after determining whether the system is malfunctioning, the method further comprises:
if the system fails, sending out prompt information; and the prompt information is used for prompting a user to troubleshoot faults.
In a second aspect, an embodiment of the present invention provides an apparatus for determining a system fault, where the apparatus is configured to perform the method according to the first aspect, and the apparatus includes:
the operation state determining module is used for determining the operation state of the system;
the fault determining module is used for determining whether the system is in fault according to the average power consumption of the system in a preset time period when the running state is full load; when the operation state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices;
wherein the full load is the running state of the system when all the devices in the system are started; the low load is an operation state of the system when a specific number of devices in the system are turned on, wherein the specific number is smaller than the total number of the devices.
Further, the fault determination module is further configured to determine a historical minimum average power consumption of the system; and comparing the average power consumption with the historical minimum average power consumption to determine whether the system fails according to a comparison result.
Further, the fault determination module is further configured to determine a rated power consumption of the system at full load; and comparing the average power consumption with the rated power consumption to determine whether the system is in fault according to the comparison result.
Further, the fault determination module is further configured to determine a power consumption amount of each device in each device type of the system; determining whether equipment faults exist in the same equipment type according to the size relation between the power consumption of each equipment and the corresponding power consumption threshold value in the same equipment type; if the same equipment type has equipment faults, determining the system faults; and if the equipment fault does not exist in each equipment type, determining that the system has no fault.
Further, the apparatus further comprises: a location module to locate a potentially faulty device after the fault determination module determines the system fault;
and the energy consumption reduction module is used for adjusting the operation weight of the potential fault equipment so as to reduce energy consumption.
Further, the apparatus further comprises:
the prompting module is used for sending out prompting information after the fault determining module determines the system fault; and the prompt information is used for prompting a user to troubleshoot faults.
In a third aspect, an embodiment of the present invention provides a system, which includes the apparatus in the second aspect.
By applying the technical scheme of the invention, the system comprises a plurality of types of equipment, and each type of equipment comprises a plurality of equipment, and the method comprises the following steps: determining the running state of the system; when the running state is full load, determining whether the system is in fault according to the average power consumption of the system in a preset time period; when the running state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices; wherein, the full load is the running state of the system when all the devices in the system are started and run at the highest power; the low load is the operating state of the system when a certain number of devices in the system are on, wherein the certain number is less than the total number of the devices. Therefore, the invention provides the equipment health monitoring method, which can provide the health condition evaluation of the equipment for the user on the premise of not increasing the cost, and can determine whether the system has a fault or not in time, thereby further achieving the effects of timely overhauling and maintaining the stable operation of the unit.
Drawings
FIG. 1 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 4 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 5 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 6 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 7 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 8 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
FIG. 9 is a flow chart of a method of determining system failure according to an embodiment of the present invention;
fig. 10 is a block diagram of an apparatus for determining a system failure according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following drawings and specific embodiments, it being understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention.
In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.
In order to solve the problem that in the related art, when a system with more devices (for example, a commercial large-unit air conditioner) operates, whether the system fails or not cannot be determined in time, as shown in fig. 1, an embodiment of the present invention provides a method for determining a system failure, where the system includes multiple types of devices, and there are multiple devices of each type, and the method includes:
s101, determining the running state of a system;
step S102, when the running state is full load, determining whether the system is in fault according to the average power consumption of the system in a preset time period;
step S103, when the running state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices;
therefore, the invention provides the equipment health monitoring method, which can provide the health condition evaluation of the equipment for the user on the premise of not increasing the cost, and can determine whether the system has a fault or not in time, thereby further achieving the effects of timely overhauling and maintaining the stable operation of the unit.
In one possible implementation, the system may be a commercial large-sized unit air conditioner, including various types of equipment, such as: a plurality of fans, a plurality of compressors. As shown in fig. 2, the step S101 of determining the operating state of the system includes:
step S201, determining the running state of a system according to the power consumption demand of a user;
step S202, when the power consumption demand is larger than or equal to the preset power consumption demand, determining that the running state is full load;
and step S203, when the electricity demand is less than or equal to the preset electricity demand, determining that the running state is low load.
It can be understood that when the electricity demand of the user is large, that is, when the electricity demand is in the peak period, the operation state can be determined to be full load, and the full load is the operation state of the system when all the devices in the system are turned on. When the power demand of the user is small and only part of the equipment needs to be opened to meet the power demand of the user, the operation state can be determined to be low load, and the low load is the operation state of the system when a specific number of equipment in the system is opened, wherein the specific number is smaller than the total number of the equipment. The preset power consumption demand can be set by a user according to the running condition, the power consumption condition and the like of the unit. And the energy consumption counting function can be added into a control system of the system, and the power consumption per minute, hour and day is counted by communicating with an electric meter.
In one possible implementation manner, as shown in fig. 3, the step S102 of determining whether the system fails according to the average power consumption of the system in the preset time period includes:
step S301, determining the historical minimum average power consumption of the system;
and step S302, comparing the average power consumption with the historical minimum average power consumption to determine whether the system fails according to the comparison result.
Wherein comparing the average power consumption with the historical minimum average power consumption to determine whether the system is faulty according to the comparison result comprises: if the proportion of the increment to the historical minimum average power consumption is larger than or equal to a preset proportion value, determining that the system fails; wherein the increase amount is the average power consumption-the historical minimum average power consumption; and if the proportion of the increase amount to the historical minimum average power consumption is smaller than a preset proportion value, determining that the system has no fault. It will be appreciated that the historical minimum average power consumption is the minimum of the average power consumption of the system prior to the current time. The system may determine the historical minimum average power consumption by recording the average power consumption starting from the average power consumption after the first start, comparing it to the previous average power consumption each time a new average power consumption is recorded, and overlaying data if the average power consumption is less than the previous average power consumption. Alternatively, each average power consumption may be stored, and when the average power consumption needs to be compared with the historical minimum average power consumption, the historical minimum average power consumption may be selected from all the recorded data. Both of the above methods may be used to determine historical minimum average power consumption.
The average power consumption may be the power consumption of the system in one hour. The preset time period may be determined by the user according to actual needs, for example: the preset time period may be 3 hours, 4 hours, 12 hours, or the like. The preset proportional value may be 9%. When the ratio of the increment to the historical minimum average power consumption is greater than or equal to 9%, the detected average power consumption in the preset time period is greater than the historical minimum average power consumption, and the detected average power consumption is not in accordance with the normal condition, the current power consumption of the system is greater, and the system can be judged to be in fault. Therefore, whether the system fails or not can be determined according to simple data comparison, the reference quantity (historical minimum average power consumption) can be determined according to various methods, and the method for determining the faults is simple and flexible.
In one possible implementation manner, as shown in fig. 4, the step S102 of determining whether the system fails according to the average power consumption of the system in the preset time period includes:
step S401, determining rated power consumption of the system under full load;
and S402, comparing the average power consumption with the rated power consumption to determine whether the system is in fault according to the comparison result.
Wherein comparing the average power consumption with the rated power consumption to determine whether the system is faulty according to the comparison result comprises: determining a system fault if the average power consumption is greater than or equal to the rated power consumption; if the average power consumption is less than the rated power consumption, it is determined that the system is not malfunctioning. Wherein, the rated power consumption can be determined by the system before leaving factory and marked on the nameplate of the system. Therefore, besides the implementation mode, whether the system is in failure or not can be determined according to the magnitude relation between the average power consumption and the rated power consumption, and a method for determining the system failure is added.
It can be understood that the above method for determining whether the system is in a fault state is applied when the system is in a full load state, and the following method is applied when the unit is in a low load state, as shown in fig. 5, step S103, determining whether the system is in a fault state according to the power consumption of each device in any type of device, includes:
step S501, determining the power consumption of each device in each device type of the system;
step S502, determining whether equipment faults exist in the same equipment type according to the size relation between the power consumption of each equipment and the corresponding power consumption threshold value in the same equipment type;
step S503, if the same equipment type has equipment faults, determining system faults;
and step S504, if no equipment fault exists in each equipment type, determining that the system has no fault.
Wherein, the equipment type can be a fan, a water pump, a compressor and the like. If the system has 4 types of devices, the power consumption of each device in each type of device needs to be determined, and the power consumption thresholds corresponding to each type of device are different, and the power consumption thresholds are related to the types of devices. If at least one device in any one device type has a fault, the system fault can be determined, and if no device fault exists in each device type, the system is determined to have no fault. For example: if the same equipment type is a fan and the system is started with 5 fans in a low-load state, if the fan A has a fault, the system can be judged to have a fault if the equipment type of the fan has a fault. It will be appreciated that the devices in figure 5 are all open devices, but open devices are not equivalent to all devices of the system (and therefore the fleet is in a low load state).
Specifically, step S502, determining whether there is an equipment fault in the same equipment type according to the magnitude relationship between the power consumption of each equipment and the corresponding power consumption threshold in the same equipment type includes: if the fluctuation range of the power consumption of each device above and below the power consumption threshold is smaller than or equal to the corresponding preset fluctuation range, determining that no device fault exists in the same device type; and if the fluctuation range of the power consumption of at least one device above and below the power consumption threshold value is larger than the preset fluctuation range, determining that the device fault exists in the same device type.
It will be appreciated that the power consumption difference for each device may be repeatedly compared to determine if there is a device failure. The power consumption threshold may be determined according to the historical operating conditions of the system, and due to environmental factors and the like, the power consumption of each device may have a certain difference and fluctuate up and down with the power consumption threshold as a central axis. But the fluctuation range should be less than or equal to the preset fluctuation range. If the fluctuation range of the power consumption of a certain device is larger than the preset fluctuation range, it can be determined that the power consumption of the device is abnormal, that is, the power consumption of the device is large, or the power consumption of the device is extremely small. If the power consumption does not have a significant difference, it may be determined whether the power consumption of each device is in a continuously increasing state compared to the historical data, and when the amount of increase exceeds a preset threshold, it may be determined that the system is malfunctioning. Therefore, when the system is in a low-load operation state, whether the system fails or not can be determined, so that a user is reminded of timely troubleshooting, and equipment is maintained or replaced, so that stable operation of the unit is guaranteed.
Based thereon, after determining whether the system is malfunctioning, the method further comprises: if the system fails, sending out prompt information; the prompt information is used for prompting a user to perform troubleshooting. The prompt message can be a flashing indicator light or a broadcast voice message.
It should be noted that, when the system is in the low load operation state, in a possible implementation manner, as shown in fig. 6, after determining whether the system is in a fault according to the power consumption of each device in any type of device in step S103, the method further includes:
step S601, if the system fault is determined, positioning potential fault equipment;
and step S602, adjusting the operation weight of the potential fault equipment to reduce energy consumption.
It can be understood that, in one possible implementation manner, as shown in fig. 7, the step S601 of locating a potentially faulty device if it is determined that the system is faulty includes:
step S701, determining the type of equipment with equipment failure;
step S702, controlling all the devices in the device types to alternately operate according to a binary algorithm sequence within preset time; determining the power consumption change condition of the system;
and step S703, comparing and analyzing the power consumption change situation, and positioning the potential fault equipment.
In a possible implementation manner, the method shown in fig. 5 may determine the type of equipment with equipment failure, for example, if the type of equipment is a fan, a potentially failing fan needs to be located, all the equipment in the type of equipment may be controlled to operate alternately in a halving algorithm sequence within a preset time, and the power consumption change of the system is compared. For example, if the system has 5 fans, each of which is A, B, C, D, E, the fan A, B, C may be controlled to operate first, the fan B, C, D may be controlled to operate, and the fan C, D, E may be controlled to operate, so that all combinations may be traversed, and big data comparison analysis may be performed to locate a potential fault device according to a power consumption change condition.
In one possible implementation manner, as shown in fig. 8, the step S602 of adjusting the operation weight of the potentially-faulty device includes:
step S802, determining the operation weight of the potential fault equipment according to the operation time and the performance parameters of the potential fault equipment;
under the condition that the running time is the same as that of the rest equipment in the equipment type where the potential fault equipment is located, the performance parameters are larger, and the running weight is lower; wherein the performance parameters include: operating power, power consumption. It should be noted that, if the potentially faulty device represents a device with higher energy consumption, the operation weight of the potentially faulty device may be reduced, and before the potentially faulty device is located, the operation weight of each device in the same device type is the same. After a potentially faulty device is determined, its weight may be reduced. The specific weights may be determined based on the run time and performance parameters of the potentially failing device. It will be appreciated that when the run times are the same, the greater the performance parameter represents greater power consumption, the lower the weight may be, i.e. the lower the probability of a potentially faulty device running until it is repaired. If the operation time is different, for example, the operation time of the remaining normal devices is longer, but the potentially faulty device is not yet operating, the potentially faulty device may be controlled to operate for protecting the remaining devices. Therefore, the energy consumption of the system can be reduced, and the technical effect of saving energy is achieved.
Fig. 9 illustrates a method of determining a system fault according to an embodiment of the present invention, and as shown in fig. 9, the method includes:
step S901, is the system fully loaded? If yes, go to step S902; if not, executing step S903;
step S902, counting electric quantity and comparing with rated load and historical load; then step S904 is executed;
step S903, collecting the power consumption of the heating and ventilation equipment under the condition of low load; then step S905 is executed;
step S904, whether the load of the day is increased by 9% compared with the historical load or the rated load; then step S907 is executed;
step S905, repeatedly comparing power consumption differences of different devices in operation;
step S906, whether there is a significant difference? If yes, executing step S907, if no, executing step S901;
step S907, the system sends out an alarm signal to prompt troubleshooting;
step S908, the control system controls the heating and ventilation equipment to operate alternately in sequence when the load is low, and power consumption is collected;
step S909, comparing and analyzing, and locking the suspicious fault equipment; (post-execution step S910 or step S912)
Step S910, adding the operation weight of the equipment under low load into the energy-saving control system;
step S911, reducing system power consumption and detecting the health state of the equipment;
and step S912, a maintenance suggestion is given.
It should be noted that the method shown in fig. 9 is only an exemplary illustration, in which the heating and ventilation device is the system shown in the embodiment of fig. 1, and it is understood that after an alarm signal is sent to prompt troubleshooting, since the method for subsequently locating the suspected faulty device (i.e., the potential faulty device) is to control the devices to operate alternately in sequence, the locating method needs to be performed when the system is in a low load state, so as to avoid affecting the normal use of the user when the power demand of the user is large. After locating the suspected faulty device, a specific repair recommendation may be given for the specific device, for example: the fan is replaced, etc. The weight of the suspected fault equipment can be reduced before the fan is replaced, so that the power consumption of the system is reduced, and the healthy running state of the equipment is detected. It will be appreciated that the method of determining system faults as illustrated in the present invention may be performed in real time, i.e. the power consumption of the system is collected in real time,
therefore, the energy consumption of the system can be dynamically counted to determine the suspicious failure equipment, so that the power consumption of the system is reduced, the health state of the equipment is predicted in advance on the basis of hardly increasing the cost, a maintenance suggestion is given, the failure equipment is maintained in time, and the stable operation of the system is ensured.
Fig. 10 shows an apparatus for determining a system failure, the apparatus being configured to perform the method shown in the above embodiments, the apparatus comprising:
an operation state determination module 1001 configured to determine an operation state of the system;
a fault determining module 1002, configured to determine whether a system fails according to an average power consumption of the system in a preset time period when the operating state is a full load; when the running state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices; wherein, the full load is the running state of the system when all the devices in the system are started; the low load is the operating state of the system when a certain number of devices in the system are on, wherein the certain number is less than the total number of devices.
In a possible implementation, the fault determining module 1002 is further configured to determine a historical minimum average power consumption of the system; and comparing the average power consumption with the historical minimum average power consumption to determine whether the system fails according to the comparison result. And also for determining the rated power consumption of the system at full load; and comparing the average power consumption with the rated power consumption to determine whether the system fails according to the comparison result. And also for determining the power consumption of each device in each device type of the system; determining whether equipment faults exist in the same equipment type according to the size relation between the power consumption of each equipment and the corresponding power consumption threshold value in the same equipment type; if the same equipment type has equipment faults, determining system faults; and if the equipment fault does not exist in each equipment type, determining that the system has no fault.
In one possible implementation, the apparatus further includes: the positioning module is used for positioning the potential fault equipment after the fault determining module determines the system fault; and the energy consumption reduction module is used for adjusting the operation weight of the potential fault equipment so as to reduce energy consumption. The device still includes: the prompting module is used for sending out prompting information after the fault determining module determines the system fault; wherein the prompt message is used for prompting the user to maintain.
Therefore, the energy consumption of the system can be dynamically counted to determine the suspicious failure equipment, so that the power consumption of the system is reduced, the health state of the equipment is predicted in advance on the basis of hardly increasing the cost, a maintenance suggestion is given, the failure equipment is maintained in time, and the stable operation of the system is ensured.
An embodiment of the present invention further provides a system, which includes the apparatus shown in fig. 10. The system may be a refrigeration unit having multiple equipment types, multiple equipment.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a mobile terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments illustrated in the drawings, the present invention is not limited to the embodiments, which are illustrative rather than restrictive, and it will be apparent to those skilled in the art that many more modifications and variations can be made without departing from the spirit of the invention and the scope of the appended claims.
Claims (19)
1. A method of determining system failure, wherein the system includes a plurality of types of devices, a plurality of each type of device, the method comprising:
determining an operational state of the system;
when the running state is full load, determining whether the system is in fault according to the average power consumption of the system in a preset time period;
when the operation state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices; which comprises the following steps:
determining a power consumption amount of each device in each device type of the system; if the fluctuation range of the power consumption of each device above and below the corresponding power consumption threshold value is smaller than or equal to the corresponding preset fluctuation range, determining that no device fault exists in the same device type;
if the fluctuation range of the power consumption of at least one device above and below the power consumption threshold value is larger than the preset fluctuation range, determining that a device fault exists in the same device type;
if the same equipment type has equipment faults, determining the system faults;
if no equipment fault exists in each equipment type, determining that the system has no fault;
wherein the full load is the running state of the system when all the devices in the system are started; the low load is an operation state of the system when a specific number of devices in the system are turned on, wherein the specific number is smaller than the total number of the devices.
2. The method of claim 1, wherein determining the operational state of the system comprises:
determining the running state of the system according to the electricity demand of the user;
when the power consumption demand is greater than or equal to a preset power consumption demand, determining that the running state is the full load;
and when the power consumption demand is smaller than the preset power consumption demand, determining that the operation state is the low load.
3. The method of claim 1, wherein determining whether the system is malfunctioning based on an average power consumption of the system over a preset time period comprises:
determining a historical minimum average power consumption for the system;
and comparing the average power consumption with the historical minimum average power consumption to determine whether the system fails according to a comparison result.
4. The method of claim 3, wherein comparing the average power consumption with the historical minimum average power consumption to determine whether the system is malfunctioning based on the comparison comprises:
if the proportion of the increment to the historical minimum average power consumption is larger than or equal to a preset proportion value, determining that the system fails; wherein the increase = the average power consumption — the historical minimum average power consumption;
and if the proportion of the increase amount to the historical minimum average power consumption is smaller than a preset proportion value, determining that the system has no fault.
5. The method of claim 1, wherein determining whether the system is malfunctioning based on an average power consumption of the system over a preset time period comprises:
determining a rated power consumption of the system at full load;
and comparing the average power consumption with the rated power consumption to determine whether the system is in fault according to the comparison result.
6. The method of claim 5, wherein comparing the average power consumption with the rated power consumption to determine whether the system is faulty according to the comparison comprises:
determining the system fault if the average power consumption is greater than or equal to the rated power consumption;
determining that the system is not malfunctioning if the average power consumption is less than the rated power consumption.
7. The method of claim 1, wherein after determining whether the system is down according to the power consumption of each device in any type of device, the method further comprises:
if the system fault is determined, positioning potential fault equipment;
adjusting operational weights of the potentially faulty devices to reduce energy consumption.
8. The method of claim 7, wherein locating a potentially failing device if the system failure is determined comprises:
determining the type of equipment with equipment failure;
controlling all the devices in the device types to alternately operate according to a binary algorithm sequence within preset time; determining the power consumption change condition of the system;
and comparing and analyzing the power consumption change condition, and positioning the potential fault equipment.
9. The method of claim 7, wherein adjusting the operational weight of the potentially faulty device comprises:
determining the operation weight of the potential fault equipment according to the operation time and the performance parameters of the potential fault equipment;
wherein, in the case that the running time is the same as the running times of the other devices in the device type where the potentially faulty device is located, the larger the performance parameter is, the lower the running weight is; wherein the performance parameters include: at least one of operating power, operating current, and operating voltage.
10. The method of any one of claims 1-9, wherein after determining whether the system is malfunctioning, the method further comprises:
if the system fails, sending out prompt information; and the prompt information is used for prompting a user to troubleshoot faults.
11. An apparatus for determining a system fault, the apparatus being configured to perform the method of any one of claims 1 to 10, the apparatus comprising:
the operation state determining module is used for determining the operation state of the system;
the fault determining module is used for determining whether the system is in fault according to the average power consumption of the system in a preset time period when the running state is full load; when the operation state is low load, determining whether the system is in fault according to the power consumption of each device in any type of devices;
wherein the full load is the running state of the system when all the devices in the system are started; the low load is an operation state of the system when a specific number of devices in the system are turned on, wherein the specific number is smaller than the total number of the devices.
12. The apparatus of claim 11,
the fault determination module is further configured to determine a historical minimum average power consumption of the system; and comparing the average power consumption with the historical minimum average power consumption to determine whether the system fails according to a comparison result.
13. The apparatus of claim 11,
the fault determination module is further used for determining rated power consumption of the system under full load; and comparing the average power consumption with the rated power consumption to determine whether the system is in fault according to the comparison result.
14. The apparatus of claim 11,
the fault determination module is further configured to determine a power consumption amount of each device in each device type of the system; determining whether equipment faults exist in the same equipment type according to the size relation between the power consumption of each equipment and the corresponding power consumption threshold value in the same equipment type; if the same equipment type has equipment faults, determining the system faults; and if the equipment fault does not exist in each equipment type, determining that the system has no fault.
15. The apparatus of claim 14, further comprising:
a location module to locate a potentially faulty device after the fault determination module determines the system fault;
and the energy consumption reduction module is used for adjusting the operation weight of the potential fault equipment so as to reduce energy consumption.
16. The apparatus according to any one of claims 11-15, further comprising:
the prompting module is used for sending out prompting information after the fault determining module determines the system fault; and the prompt information is used for prompting a user to troubleshoot faults.
17. A system, characterized in that it comprises a device according to any one of claims 11 to 16.
18. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of determining a system failure according to any one of claims 1-10 when executing the program.
19. A storage medium containing computer-executable instructions for performing the method of determining system faults as recited in any one of claims 1-10 when executed by a computer processor.
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| JPH07160327A (en) * | 1993-12-06 | 1995-06-23 | Komatsu Ltd | Measured value deciding method |
| JP3483781B2 (en) * | 1998-10-13 | 2004-01-06 | 株式会社ホンダエレシス | Failure diagnosis method and device |
| US6701727B2 (en) * | 2001-10-12 | 2004-03-09 | Hitachi Building Systems Co., Ltd. | Apparatus and method for managing heat source unit for air conditioner |
| CN105787139B (en) * | 2014-12-25 | 2019-05-28 | 北京电子工程总体研究所 | A kind of complication system maintainability support simulation optimization method based on failure synthesis |
| CN105243180B (en) * | 2015-09-01 | 2021-06-04 | 珠海格力电器股份有限公司 | Electromechanical equipment fault early warning method and system |
| CN105730187A (en) * | 2016-03-22 | 2016-07-06 | 上海理工大学 | Intelligent automobile air conditioner |
| CN107940675B (en) * | 2017-11-21 | 2023-06-27 | 上海美控智慧建筑有限公司 | Central air conditioning system, auxiliary machine starting self-diagnosis method and self-diagnosis device thereof |
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| CN108845242B (en) * | 2018-05-25 | 2019-09-13 | 北京金风科创风电设备有限公司 | Fault identification method and device, and computer readable storage medium |
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