CN108254643B - Monitoring method and monitoring device - Google Patents
Monitoring method and monitoring device Download PDFInfo
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- CN108254643B CN108254643B CN201810045010.5A CN201810045010A CN108254643B CN 108254643 B CN108254643 B CN 108254643B CN 201810045010 A CN201810045010 A CN 201810045010A CN 108254643 B CN108254643 B CN 108254643B
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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Abstract
The embodiment of the invention provides a monitoring method and a monitoring device. The method is applied to a server which is in communication connection with at least one electric device, wherein each electric device comprises a state monitoring sensor for detecting the state of the electric device. The method comprises the following steps: receiving self state parameters which are obtained and sent by the electric equipment through the state monitoring sensor; performing data analysis according to the received state parameters and historical state parameters, and judging whether the electric equipment has faults or not; and when the electric equipment has faults, controlling the faulty electric equipment to alarm. The state parameters of the electric equipment, the state parameters of other electric equipment and the historical state parameters of all electric equipment are subjected to data analysis, so that whether the electric equipment has faults or not is judged, the electric equipment is maintained in time when the faults exist, and the normal operation of the electric equipment is ensured.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a monitoring method and a monitoring device.
Background
With the continuous development of science and technology and economy, more and more electric equipment are used. Currently, whether an electric device fails or not is mainly detected in the following ways: manual patrol; the parameters of the collected electric equipment are compared with the manually set range, so that whether the electric equipment breaks down or not is judged. Although whether the electric equipment fails or not can be detected by the mode, the problems of large workload, low judgment accuracy and the like exist.
Disclosure of Invention
In order to overcome the above disadvantages in the prior art, an embodiment of the present invention provides a monitoring method and a monitoring apparatus, which are capable of determining whether a fault exists in an electrical device by performing data analysis on a state parameter of the electrical device, state parameters of other electrical devices, and historical state parameters of all electrical devices, so as to maintain the electrical device in time when the fault exists, thereby ensuring that the electrical device normally operates.
The embodiment of the invention provides a monitoring method, which is applied to a server in communication connection with at least one piece of electric equipment, wherein each piece of electric equipment comprises a state monitoring sensor for detecting the state of the electric equipment, and the method comprises the following steps:
receiving self state parameters which are obtained and sent by the electric equipment through the state monitoring sensor;
performing data analysis according to the received state parameters and historical state parameters, and judging whether the electric equipment has faults or not;
and when the electric equipment has faults, controlling the faulty electric equipment to alarm.
The embodiment of the invention also provides a monitoring method, which is applied to a monitoring system, wherein the system comprises a server and at least one piece of electric equipment which are in communication connection, each piece of electric equipment comprises a state monitoring sensor for detecting the state of the electric equipment, and the method comprises the following steps:
the electric equipment obtains the state parameters of the electric equipment through the state monitoring sensor and sends the state parameters to the server;
the server analyzes data according to the received state parameters and historical state parameters and judges whether the electric equipment has faults or not;
and when the electric equipment has faults, the server controls the faulty electric equipment to alarm.
An embodiment of the present invention further provides a monitoring apparatus, which is applied to a server communicatively connected to at least one electrical device, where each electrical device includes a state monitoring sensor for detecting a state of the electrical device, and the apparatus includes:
the receiving module is used for receiving the self state parameters which are obtained and sent by the electric equipment through the state monitoring sensor;
the analysis module is used for carrying out data analysis according to the received state parameters and historical state parameters and judging whether the electric equipment has faults or not;
and the alarm module is used for controlling the failed electric equipment to alarm when the electric equipment has a fault.
Compared with the prior art, the invention has the following beneficial effects:
the embodiment of the invention provides a monitoring method and a monitoring device. The method is applied to a server which is in communication connection with at least one electric device, wherein each electric device comprises a state monitoring sensor for detecting the state of the electric device. The method comprises the following steps: receiving self state parameters which are obtained and sent by the electric equipment through the state monitoring sensor; performing data analysis according to the received state parameters and historical state parameters, and judging whether the electric equipment has faults or not; and when the electric equipment has faults, controlling the faulty electric equipment to alarm. The state parameters of the electric equipment, the state parameters of other electric equipment and the historical state parameters of all electric equipment are subjected to data analysis, so that whether the electric equipment has faults or not is judged, the electric equipment is maintained in time when the faults exist, and normal operation of the electric equipment is guaranteed.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of a monitoring system according to an embodiment of the present invention.
Fig. 2 is a block schematic diagram of the server of fig. 1.
Fig. 3 is a schematic flow chart of a monitoring method according to a first embodiment of the present invention.
Fig. 4 is a flowchart illustrating sub-steps included in step S200 in fig. 3.
Fig. 5 is a flowchart illustrating sub-steps included in sub-step S210 in fig. 4.
Fig. 6 is a flowchart illustrating sub-steps included in sub-step S215 in fig. 5.
Fig. 7 is a flowchart illustrating sub-steps included in sub-step S2153 in fig. 6.
Fig. 8 is a second flowchart of the monitoring method according to the first embodiment of the present invention.
Fig. 9 is a schematic flow chart of a monitoring method according to a second embodiment of the present invention.
Fig. 10 is a block diagram of a monitoring device according to a third embodiment of the present invention.
Icon: 10-a monitoring system; 100-a server; 110-a memory; 120-a memory controller; 130-a processor; 200-a power consumer; 201-target electric equipment; 300-a user terminal; 400-prompting the terminal; 600-a monitoring device; 610-a receiving module; 620-an analysis module; 630-alarm module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Some embodiments of the invention are described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a block diagram of a monitoring system 10 according to an embodiment of the present invention. The monitoring system 10 may include a server 100 and at least one powered device 200. The server 100 is communicatively connected to at least one consumer 200 via a network for data communication or interaction. The network may be wired or wireless. Each powered device 200 includes a status monitoring sensor thereon for detecting a status of the powered device 200. Each electric device 200 acquires its own status parameter through its own status monitoring sensor, and sends the status parameter to the server 100. The server 100 performs big data analysis based on all the received state parameters, so as to determine whether the electric device 200 has a fault, so as to ensure the normal operation of the electric device 200.
Referring to fig. 2, fig. 2 is a block diagram illustrating the server 100 in fig. 1. The server 100 may be an independent server or a cluster server composed of a plurality of independent servers. The server 100 may include a memory 110, a memory controller 120, and a processor 130.
The elements of the memory 110, the memory controller 120 and the processor 130 are electrically connected directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 110 stores therein a monitoring apparatus 600, and the monitoring apparatus 600 includes at least one software functional module which can be stored in the memory 110 in the form of software or firmware (firmware). The processor 130 executes various functional applications and data processing by executing software programs and modules stored in the memory 110, such as the monitoring apparatus 600 in the embodiment of the present invention, so as to implement the monitoring method in the embodiment of the present invention.
The Memory 110 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 110 is used for storing a program, and the processor 130 executes the program after receiving the execution instruction. Access to the memory 110 by the processor 130 and possibly other components may be under the control of the memory controller 120.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The Processor 130 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. But may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be appreciated that the configuration shown in fig. 2 is merely illustrative and that server 100 may include more or fewer components than shown in fig. 2 or have a different configuration than shown in fig. 2. The components shown in fig. 2 may be implemented in hardware, software, or a combination thereof.
First embodiment
Referring to fig. 3, fig. 3 is a flowchart illustrating a monitoring method according to a first embodiment of the invention. The method is applied to a server 100 which is in communication connection with at least one consumer 200. Each powered device 200 includes a status monitoring sensor for detecting a status of powered device 200. The specific flow of the monitoring method is described in detail below.
Step S100, receiving the self status parameter obtained and sent by the electrical device 200 through the status monitoring sensor.
In this embodiment, the condition monitoring sensor may include, but is not limited to, a voltage sensor, a current sensor, a temperature sensor, and other condition monitoring sensors, and the specific setting type may be set according to actual requirements. After obtaining the relevant state parameters, the state monitoring sensor sends the obtained state parameters to the electric device 200. The electric device 200 may send the state parameter of itself to the server 100, so that the server 100 monitors whether the electric device 200 operates normally.
Step S200, performing data analysis according to the received state parameters and historical state parameters, and determining whether the electric device 200 has a fault.
In this embodiment, the server 100 further stores the historical status parameters of the electric devices 200 communicatively connected to the server 100.
Referring to fig. 4, fig. 4 is a flowchart illustrating sub-steps included in step S200 in fig. 3. The server 100 is further communicatively connected to a user terminal 300, and at least one electric device 200 includes a target electric device 201. Step S200 may include substep S210 and substep S220.
In this embodiment, the server 100 may sequentially select an electric device 200 as a target electric device 201, and determine whether the target electric device 201 fails.
In the substep S210, it is determined whether the target electrical device 201 has a suspected fault or a fault according to the state parameter of the target electrical device 201, the state parameters of the other electrical devices 200, and the historical state parameters.
The state parameter may include any one of a current, a voltage, and a temperature, and any combination thereof.
Referring to fig. 5, fig. 5 is a flowchart illustrating sub-steps included in sub-step S210 in fig. 4. The sub-step S210 may include a sub-step S211, a sub-step S212, a sub-step S213, a sub-step S214, and a sub-step S215.
Substep S211 of comparing the state parameter of the target electric device 201 with the state parameters of the other electric devices 200.
In the substep S212, if the state parameter of the target electric device 201 does not exceed the first range where the state parameters of the other electric devices 200 are located, it is determined that no suspected fault or failure exists in the target electric device 201.
In this embodiment, the server 100 may compare the state parameter of the target electrical device 201 with a first range in which the state parameter of the other electrical device 200 is received at the same time. The state parameter of the target electric device 201 in the first range indicates that the operating states of the target electric device 201 and at least most other electric devices 200 are similar, so that it can be determined that no suspected fault or failure exists in the target electric device 201.
The first range may be set according to the state parameter and a preset parameter difference of the other electric devices 200. For example, if the ratios are 0.1, 0.4, 0.45, 0.5, 0.95, the values are mostly distributed in the range of 0.4 to 0.5, and thus the range may be set to 0.4 to 0.5, and 0.1 and 0.95 indicate that an abnormality may occur, and thus the set range does not include 0.1 and 0.95.
In the substep S213, if the state parameter of the target electric device 201 exceeds a first range in which the state parameters of the other electric devices 200 are located, a first difference between the state parameter of the target electric device 201 and the first range is calculated.
And a substep S214, determining that the target electric device 201 has a fault when the first difference is not within a first preset range.
In the substep S215, when the first difference is within the first preset range, whether the target electrical device 201 has a suspected fault or a fault is determined according to the state parameter and the historical state parameter of the target electrical device 201.
In this embodiment, when the state parameter of the target electric device 201 is not within the first range, a first difference between the state parameter of the target electric device 201 and a maximum value or a minimum value of the first range is compared with the first preset range. The first difference is not within the first preset range, which indicates that the difference between the operating condition of the target electric device 201 and the operating condition of at least most other electric devices 200 is large, and it may be determined that the target electric device 201 has a fault. The first difference is within the first preset range, which indicates that the difference between the operating condition of the target electric device 201 and the operating condition of at least most other electric devices 200 is not large, and therefore further determination is required.
Referring to fig. 6, fig. 6 is a flowchart illustrating sub-steps included in sub-step S215 in fig. 5. Sub-step S215 may include sub-step S2151, sub-step S2152, and sub-step S2153.
In sub-step S2151, the state parameter of the target electric device 201 is compared with a second range in which the historical state parameter of the target electric device 201 and the historical state parameters of the other electric devices 200 are located.
In sub-step S2152, when the state parameter of the target electric device 201 is within the second range, it is determined that the target electric device 201 is normal.
In sub-step S2153, when the state parameter of the target electrical device 201 is not within the second range, it is determined that the target electrical device 201 has a suspected fault or a failure.
In this embodiment, all the historical status parameters of the connected electric devices 200 when there is no fault or suspected fault may be stored in the server 100. The server 100 sets a second range according to the historical status parameter, and compares the status parameter of the target electric device 201 with the second range. The state parameter is within the second range, which indicates that the target electric device 201 is normal.
Referring to fig. 7, fig. 7 is a flowchart illustrating the sub-steps included in sub-step S2153 in fig. 6. Sub-step S2153 may include sub-step S21531, sub-step S21532, and sub-step S21533.
Substep S21531, calculating a second difference between the state parameter and the second range.
In sub-step S21532, when the second difference is within a second preset range, it is determined that the target electric device 201 has a suspected fault.
And a substep S21533, determining that the target electric device 201 has a fault when the second difference is not within the second preset range.
In this embodiment, the state parameter is not in the second range, and a second difference between the state parameter and the maximum value or the minimum value of the second range is not in the second preset range, which indicates that the target electric device 201 has a fault. If the second difference is within the second preset range, it indicates that the target electrical device 201 has a suspected fault.
Referring again to fig. 1, the monitoring system 10 may further include a user terminal 300 communicatively coupled to the server 100. The user terminal 300 may be a mobile terminal, a tablet computer, or the like.
In the substep S220, when the suspected fault exists in the target electric device 201, the target electric device 201 information is sent to the user terminal 300, so as to determine whether the fault exists in the target electric device 201 according to the feedback of the user terminal 300.
In this embodiment, each powered device 200 may send its own identifier to the server 100 when sending the status parameter. When a suspected fault exists in the target electric device 201, the server 100 may send information (for example, location information) of the target electric device 201 to the user terminal 300 according to the identifier of the suspected faulty target electric device 201, so that an operator may confirm whether the target electric device 201 is faulty or not, and send the received feedback information input by the operator to the server 100. The server 100 determines whether the target electric device 201 fails according to the feedback information.
And step S300, when the electric equipment 200 has a fault, controlling the electric equipment 200 with the fault to alarm.
In an embodiment of the present embodiment, the electric device 200 may include an alarm device, such as a buzzer, a warning light, and the like. When the electric device 200 has a storage failure, the server 100 sends alarm information to the electric device 200 to control the alarm device to alarm. Furthermore, maintenance prompt information can be directly sent to the terminal equipment of the maintainer, so that maintenance can be carried out in time.
Referring to fig. 1 and 8, fig. 8 is a second schematic flow chart of a monitoring method according to a first embodiment of the present invention. The server 100 is also in communication connection with a reminder terminal 400. The method may further include step S400.
Step S400, when the ratio of the number of faulty electric devices 200 to the total number of electric devices 200 in the area is greater than a preset ratio, determining that the area in which the faulty electric device 200 is located has an area power supply abnormality, and sending a maintenance notification to the prompt terminal 400 so that a maintenance worker can go to maintenance.
In this embodiment, the ratio of the number of faulty electrical devices 200 to the total number of electrical devices 200 in the area is greater than a preset ratio, which indicates that most electrical devices 200 in the area have faults, and the faults are not caused by the factors of the electrical devices 200 themselves, and it may be determined that the power supply in the area is abnormal. In this case, a prompt message of the area power supply abnormality may be sent to the prompt terminal 400 of the maintenance person who loads the area, so that the maintenance person can go to the maintenance in time. The preset ratio can be set according to actual conditions. The user terminal 300 and the prompt terminal 400 may be the same device or different devices.
Second embodiment
Referring to fig. 9, fig. 9 is a flowchart illustrating a monitoring method according to a second embodiment of the present invention. The method is applied to the monitoring system 10. The monitoring system 10 includes a server 100 and at least one electric device 200, which are communicatively connected, and each electric device 200 includes a status monitoring sensor for detecting a status of the electric device 200. The method may include step S510, step S520, and step S530.
In step S510, the electric device 200 obtains its own state parameter through the state monitoring sensor, and sends the state parameter to the server 100.
In step S520, the server 100 performs data analysis according to the received state parameters and historical state parameters, and determines whether the electric device 200 has a fault.
In step S530, when the electrical device 200 has a fault, the server 100 controls the faulty electrical device 200 to alarm.
In this embodiment, the monitoring system 10 may further include a user terminal 300 communicatively connected to the server 100, where the at least one electric device 200 includes a target electric device 201. The step of the server 100 analyzing data according to the received state parameters and historical state parameters and determining whether the electric device 200 has a fault includes:
the server 100 determines whether the target electrical device 201 has a suspected fault or a fault according to the state parameter of the target electrical device 201, the state parameters of the other electrical devices 200, and the historical state parameters;
when the target electric equipment 201 has a suspected fault, the server 100 sends the target electric equipment 201 information to the user terminal 300;
the user terminal 300 transmits the input feedback information to the server 100, so that the server 100 determines whether the target electrical device 201 fails.
In this embodiment, the detailed description about steps S510 to S530 may refer to the description about steps S100 to S300 in the first embodiment, and will not be repeated herein.
Third embodiment
Referring to fig. 10, fig. 10 is a block diagram of a monitoring device 600 according to a third embodiment of the present invention. The monitoring apparatus 600 is applied to a server 100 communicatively connected to at least one electric device 200, and each electric device 200 includes a status monitoring sensor for detecting a status of the electric device 200. The monitoring apparatus 600 may include a receiving module 610, an analyzing module 620, and an alarming module 630.
A receiving module 610, configured to receive the state parameter of the electrical device 200 obtained and sent by the state monitoring sensor.
In this embodiment, the receiving module 610 is configured to execute step S100 in fig. 3, and the detailed description about the receiving module 610 may refer to the description of step S100 in fig. 3.
And the analysis module 620 is configured to perform data analysis according to the received state parameters and historical state parameters, and determine whether the electric device 200 has a fault.
In this embodiment, the analysis module 620 is configured to execute step S200 in fig. 3, and the detailed description about the analysis module 620 may refer to the description of step S200 in fig. 3.
And an alarm module 630, configured to control the faulty electrical device 200 to alarm when the electrical device 200 has a fault.
In this embodiment, the alarm module 630 is configured to execute step S300 in fig. 3, and the detailed description about the alarm module 630 may refer to the description of step S300 in fig. 3.
In summary, the embodiments of the present invention provide a monitoring method and a monitoring apparatus. The method is applied to a server which is in communication connection with at least one electric device, wherein each electric device comprises a state monitoring sensor for detecting the state of the electric device. The method comprises the following steps: receiving self state parameters which are obtained and sent by the electric equipment through the state monitoring sensor; performing data analysis according to the received state parameters and historical state parameters, and judging whether the electric equipment has faults or not; and when the electric equipment has faults, controlling the faulty electric equipment to alarm. The state parameters of the electric equipment, the state parameters of other electric equipment and the historical state parameters of all electric equipment are subjected to data analysis, so that whether the electric equipment has faults or not is judged, the electric equipment is maintained in time when the faults exist, and normal operation of the electric equipment is guaranteed.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A monitoring method is characterized by being applied to a server in communication connection with at least one piece of electric equipment, wherein each piece of electric equipment comprises a state monitoring sensor for detecting the state of the electric equipment;
the method comprises the following steps:
receiving self state parameters which are obtained and sent by the electric equipment through the state monitoring sensor;
comparing the state parameter of the target powered device with the state parameters of other powered devices;
if the state parameter of the target electric equipment does not exceed a first range in which the state parameters of other electric equipment are located, judging that no suspected fault or fault exists in the target electric equipment;
if the state parameter of the target electric equipment exceeds a first range in which the state parameters of other electric equipment are located, calculating a first difference value between the state parameter of the target electric equipment and the first range;
when the first difference value is not within a first preset range, judging that the target electric equipment has a fault;
when the first difference value is within the first preset range, judging whether the target electric equipment has suspected fault or failure according to the state parameter and historical state parameter of the target electric equipment;
when the target electric equipment has suspected faults, the target electric equipment information is sent to the user terminal, so that whether the target electric equipment has faults or not is judged according to feedback of the user terminal;
and when the electric equipment has faults, controlling the faulty electric equipment to alarm.
2. The method according to claim 1, wherein the step of determining whether the target electrical device has a suspected fault or failure according to the state parameter and historical state parameter of the target electrical device when the first difference is within the first preset range includes:
comparing the state parameter of the target electric equipment with a second range in which the historical state parameters of the target electric equipment and the historical state parameters of other electric equipment are located;
when the state parameter of the target electric equipment is in the second range, judging that the target electric equipment is normal;
and when the state parameter of the target electric equipment is not in the second range, judging that the target electric equipment has suspected fault or failure.
3. The method of claim 2, wherein the step of determining that the target powered device is suspected of having the fault or the malfunction when the status parameter of the target powered device is not within the second range comprises:
calculating a second difference between the state parameter and the second range;
when the second difference value is within a second preset range, judging that the target electric equipment has suspected faults;
and when the second difference is not within the second preset range, judging that the target electric equipment has a fault.
4. The method of claim 1, wherein the server is further communicatively coupled to a prompting terminal, the method further comprising:
when the ratio of the number of the electric equipment with faults to the total number of the electric equipment in the area is larger than a preset ratio, judging that the area where the electric equipment with faults is located has regional power supply abnormity, and sending a maintenance notice to the prompt terminal to enable a maintenance worker to go to maintenance.
5. The method of claim 1, wherein the state parameters include any one of current, voltage, and temperature, and any combination thereof.
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| CN113537610A (en) * | 2021-07-27 | 2021-10-22 | 杭州鲁尔物联科技有限公司 | Equipment voltage early warning method and device, electronic equipment and storage medium |
| CN113640618B (en) * | 2021-08-06 | 2024-04-26 | 福建中电合创电力科技有限公司 | Power distribution station house monitoring method and terminal |
| CN114328102B (en) * | 2021-12-24 | 2024-02-09 | 浪潮(北京)电子信息产业有限公司 | Equipment state monitoring method, equipment state monitoring device, equipment and computer readable storage medium |
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| CN103439959A (en) * | 2013-09-16 | 2013-12-11 | 笔笔发信息技术(上海)有限公司 | Method for intelligently monitoring operating states of various electrical devices through power supplies |
| CN205643565U (en) * | 2016-05-16 | 2016-10-12 | 上海欧忆能源科技有限公司 | Electrical equipment's hot stall on -line monitoring system |
| CN107091961A (en) * | 2017-06-27 | 2017-08-25 | 国家电网公司 | Electric power monitoring method and system based on user side |
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| CN1611955A (en) * | 2003-05-17 | 2005-05-04 | 杜玉晓 | Distributed intelligent monitoring system for motor |
| JP2012016147A (en) * | 2010-06-30 | 2012-01-19 | Sony Corp | Battery pack and charge/discharge control method of the same |
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