CN115047813A - Electrical equipment operation data monitoring and management system and method - Google Patents
Electrical equipment operation data monitoring and management system and method Download PDFInfo
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
Abstract
The application provides an electrical equipment operation data monitoring and management system and a method, which relate to the field of electrical equipment, and the electrical equipment operation data monitoring and management method comprises the following steps: grouping the electrical equipment, collecting the operation data of each group of electrical equipment, calculating the measured value of each group of electrical equipment, establishing the threshold value of the operation data, and monitoring and managing each group of electrical equipment according to the measured value and the threshold value of the operation data. Adopt PLC or singlechip to control a plurality of motors in single or same place among the prior art, can realize unifying the control management to a plurality of motors in a plurality of places, do not need the staff to make a round trip to patrol and examine in a plurality of places, not only improve control management efficiency, can also in time discover the unusual and in time maintain unusual motor in each place.
Description
Technical Field
The application relates to the technical field of electrical equipment, in particular to a system and a method for monitoring and managing operating data of electrical equipment.
Background
Electrical equipment is the general name of equipment that all kinds of mechanical parts and electricity constitute, take the motor (electrical equipment's a kind) as an example, the operational data of motor includes rotational speed, moment of torsion etc. usually, in prior art, use singlechip or PLC to control the rotational speed of motor usually, singlechip or PLC are applicable to controlling single or a small amount of motor usually, and these controlled motors are in same work place usually, to the condition that has a plurality of motors in a plurality of places, can't carry out unified monitoring management to all motors, it patrols and examines to need the staff in a plurality of places, not only work efficiency is low, and difficult discovery in time and maintain when the motor in certain place appears unusually.
Disclosure of Invention
The application provides an electrical equipment operation data monitoring and management system and method, which are used for carrying out unified monitoring and management on a plurality of motors in a plurality of places.
In order to achieve the above object, in an aspect 1 of the present application, there is provided an electrical device operation data monitoring and management method, including the steps of:
grouping a plurality of electrical devices according to equation (1),
M=[m 1 ，m 2 …m n ] （1），
in the formula (1), M is a whole group of electric devices, M n Is the n-th group of electrical equipment, n is more than or equal to 3, m n The number of the electrical devices in (1) is more than or equal to 3;
respectively collecting the operation data of each group of electrical equipment, grouping the operation data according to the formula (2),
DM=[dm 1 ，dm 2 …dm n ] （2），
in equation (2), DM is the full set of operating data, DM n Is the nth set of operating data;
respectively calculating the actual measurement average values of each group of operation data, grouping the actual measurement average values according to the formula (3),
ADM=[adm 1 ，adm 2 …adm n ] （3），
in formula (3), ADM is the full set of measured average values, ADM n Is the nth group of measured average values;
respectively calculating the actual measurement maximum values of each group of operation data, grouping the actual measurement maximum values according to the formula (4),
maxDM=[maxdm 1 ，maxdm 2 …maxdm n ] （4），
in formula (4), maxDM is the maximum value measured in the whole group, maxDM n Is the nth set of measured maximum values;
respectively calculating the actual measurement minimum value of each group of operation data, grouping the actual measurement minimum values according to the formula (5),
minDM=[mindm 1 ，mindm 2 …mindm n ] （5），
in formula (5), minDM is the minimum value measured in the whole group, minDM n Is the nth set of measured minimum values;
establishing a threshold for the operational data according to equation (6),
T=[mint，at，maxt] （6），
in equation (6), T is a threshold value of the operation data, mint is a minimum threshold value of the operation data, at is an average threshold value of the operation data, and maxt is a maximum threshold value of the operation data;
and monitoring and managing each group of electrical equipment according to ADM, maxDM, minDM and T.
In some embodiments of aspect 1, the monitoring and managing the groups of electrical devices according to ADM, maxDM, minDM, and T includes:
establishing maximum threshold value warning information corresponding to each group of electrical equipment according to the formula (7),
maxW=[maxw 1 ，maxw 2 …maxw n ] （7），
in equation (7), maxW is the full set of maximum threshold alert information, maxW n Is the nth group maximum threshold warning information;
and sending out maximum threshold warning information according to maxW and maxt.
In some embodiments of aspect 1, said issuing maximum threshold alert information based on maxW and maxt comprises:
comparison maxdm i The size of maxt, if maxdm i If maxt is greater than maxt, sending the ith group of maximum threshold warning information maxw i ，1≤i≤n。
In some embodiments of aspect 1, the monitoring and managing the groups of electrical devices according to ADM, maxDM, minDM, and T includes:
establishing minimum threshold value warning information corresponding to each group of electrical equipment according to the formula (8),
minW=[minw 1 ，minw 2 …minw n ] （8），
in equation (8), minW is the full set of minimum threshold warning information, minW n Is the nth group minimum threshold value warning information;
and sending out minimum threshold warning information according to the minW and mint.
In some embodiments of aspect 1, said issuing minimum threshold alert information according to minW and mint comprises: comparative mindm j And the size of mint, if mindm j If it is less than mint, the jth group of minimum threshold warning information minw is sent out j ，1≤j≤n。
In some embodiments of aspect 1, the monitoring and managing the groups of electrical devices according to ADM, maxDM, minDM, and T includes:
establishing average threshold value warning information corresponding to each group of electrical equipment according to the formula (9),
AW=[aw 1 ，aw 2 …aw n ] （9），
in equation (9), AW is the full set of average threshold alert information, AW n Is the nth group average threshold warning information;
and sending out average threshold warning information according to the AW and the at.
In some embodiments of aspect 1, said issuing average threshold alert information as a function of AW and at comprises: comparative mindm k The size of mint, if maxdm k Max and min k Greater than or equal to mint, then compare adm k With the size of at, if adm k < 0.9at or adm k If the average value is more than 1.1at, sending out the k-th group of average value threshold value warning information aw k ，1≤k≤n。
In the 2 nd aspect of the application, an electrical device operation data monitoring and management system is provided, and the system comprises a cloud monitoring and management device and n terminal monitoring and management devices, wherein n is more than or equal to 3, and each terminal monitoring and management device is respectively connected with the cloud monitoring and management device;
each terminal monitoring and managing device is used for respectively acquiring the operation data of each group of electrical equipment in the aspect 1 and calculating the measured values, wherein the measured values comprise the measured average value, the measured maximum value and the measured minimum value in the aspect 1;
the cloud monitoring management device is used for grouping the actually measured average value, the actually measured maximum value and the actually measured minimum value respectively and establishing the threshold value of the operation data according to the aspect 1;
the cloud monitoring management system is suitable for sending a warning instruction to the terminal monitoring management equipment according to the actually measured average value, the actually measured maximum value, the actually measured minimum value and the threshold value of the operation data, and the terminal monitoring management equipment is suitable for sending warning information according to the warning instruction.
In some embodiments of aspect 2, the alert information comprises maximum threshold alert information, minimum threshold alert information, average threshold alert information.
In some embodiments of the aspect 2, the electrical device operation data monitoring and managing system further includes n displays, each display is connected to each terminal monitoring and managing device, the terminal monitoring and managing devices are adapted to send warning information to the displays, and the displays are used for displaying the warning information; and/or the presence of a gas in the gas,
the terminal monitoring management equipment is provided with a local database module and a local processing module, the local database module is suitable for storing operation data and threshold values of the operation data, and the local processing module is suitable for calculating the measured values according to the operation data; the cloud monitoring and management device is provided with a cloud processing module, the cloud processing module is suitable for comparing the measured value with the threshold value of the operating data, and sending a warning instruction to the terminal monitoring and management device according to the comparison result.
The application has the following beneficial effects:
the method comprises the steps of grouping the electrical equipment, collecting operation data of each group of electrical equipment, calculating an actual measurement value of each group of electrical equipment, establishing a threshold value of the operation data, and monitoring and managing each group of electrical equipment according to the actual measurement value and the threshold value of the operation data. Adopt PLC or singlechip to control a plurality of motors in single or same place among the prior art, can realize unifying the control management to a plurality of motors in a plurality of places, do not need the staff to make a round trip to patrol and examine in a plurality of places, not only improve control management efficiency, can also in time discover the unusual and in time maintain unusual motor in each place.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of an electrical device operation data monitoring and management method in an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an electrical equipment operation data monitoring and management system in an embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating a connection between a cloud monitoring management device and a terminal monitoring management device in an embodiment of the present application.
Reference numerals:
100. the cloud monitoring management equipment; 101. a cloud processing module; 200. a terminal monitoring management device; 201. a local database module; 202. a local processing module; 300. a display; 400. an electrical device.
Detailed Description
Embodiments of the present application are described in further detail below with reference to the figures and examples, and the terminology used in the description of the embodiments of the present application is for the purpose of describing particular embodiments of the present application only and is not intended to be limiting of the present application.
As shown in fig. 1, in embodiment 1 of the present application, there is provided an electrical device operation data monitoring and management method, including the following steps:
the plurality of electric devices 400 are grouped according to equation (1),
M=[m 1 ，m 2 …m n ] （1），
in formula (1), M is the full group of electrical devices 400, M n Is the n-th group of electrical equipment 400, n is more than or equal to 3, m n The number of electrical devices 400 is 3 or more;
the operation data of each group of electrical devices 400 are collected, respectively, and the operation data are grouped according to equation (2),
DM=[dm 1 ，dm 2 …dm n ] （2），
in equation (2), DM is the full set of operating data, DM n Is the nth set of operating data;
respectively calculating the actual measurement average values of each group of operation data, grouping the actual measurement average values according to the formula (3),
ADM=[adm 1 ，adm 2 …adm n ] （3），
in formula (3), ADM is the full set of measured average values, ADM n Is the nth group of measured average values;
respectively calculating the actual measurement maximum values of each group of operation data, grouping the actual measurement maximum values according to the formula (4),
maxDM=[maxdm 1 ，maxdm 2 …maxdm n ] （4），
in formula (4), maxDM is the maximum value measured in the whole group, maxDM n Is the nth set of measured maximum values;
respectively calculating the actual measurement minimum value of each group of operation data, grouping the actual measurement minimum values according to the formula (5),
minDM=[mindm 1 ，mindm 2 …mindm n ] （5），
in formula (5), minDM is the minimum value measured in the whole group, minDM n Is the nth set of measured minimum values;
establishing a threshold for the operational data according to equation (6),
T=[mint，at，maxt] （6），
in equation (6), T is a threshold value of the operation data, mint is a minimum threshold value of the operation data, at is an average threshold value of the operation data, and maxt is a maximum threshold value of the operation data;
and monitoring and managing each group of electrical equipment 400 according to ADM, maxDM, minDM and T.
Grouping the electrical devices 400, collecting the operation data of each group of electrical devices 400, calculating the actual measurement values (the actual measurement maximum value, the actual measurement minimum value and the actual measurement average value) of each group of electrical devices 400, establishing the threshold value of the operation data, and monitoring each group of electrical devices 400 according to the actual measurement values and the threshold value of the operation dataManagement, for adopt PLC or singlechip to control a plurality of motors in single or same place among the prior art, can realize unifying the control management to a plurality of motors in a plurality of places, do not need the staff to make a round trip to patrol and examine in a plurality of places, not only improved control management efficiency, can also in time discover the unusual and in time maintain unusual motor in the motor in each place. For example, grouping venues: s = [ S ] 1 ，s 2 …s n ]S is the whole group of the field, S n Is the nth field, m 1 Is arranged at s 1 M in 2 Is arranged at s 2 …, m i Is arranged at s i In which i is 1. ltoreq. n, if m is found i In the presence of an abnormality, the staff goes to s i To m i And (5) performing maintenance. The electric device 400 in this embodiment is exemplified by a motor, and the operation data in this embodiment is exemplified by a rotational speed. It should be understood that, in practical applications, the electrical device 400 may also be other types of electrical devices 400, and the operation data may also be other types of operation data, for example, if the electrical device 400 is a transformer, the corresponding operation data is a voltage.
In some embodiments of example 1, the monitoring and managing the groups of electrical devices 400 according to ADM, maxDM, minDM, and T includes:
establishing the maximum threshold warning information corresponding to each group of electrical devices 400 according to equation (7),
maxW=[maxw 1 ，maxw 2 …maxw n ] （7），
in equation (7), maxW is the full set of maximum threshold alert information, maxW n Is the nth group maximum threshold warning information;
and sending out maximum threshold warning information according to maxW and maxt.
In some implementations of example 1, said issuing the maximum threshold alert information based on maxW and maxt comprises:
comparison maxdm i The size of maxt, if maxdm i If maxt is greater than maxt, sending the ith group of maximum threshold warning information maxw i ，1≤i≤n。
In some embodiments of example 1, the monitoring and managing the groups of electrical devices 400 according to ADM, maxDM, minDM, and T includes:
establishing minimum threshold warning information corresponding to each group of electrical devices 400 according to equation (8),
minW=[minw 1 ，minw 2 …minw n ] （8），
in equation (8), minW is the full set of minimum threshold warning information, minW n Is the nth group minimum threshold value warning information;
and sending out minimum threshold warning information according to the minW and the mint.
In some implementations of example 1, said issuing minimum threshold alert information according to minW and mint includes: comparative mindm j And the size of mint, if mindm j If it is less than mint, the jth group of minimum threshold warning information minw is sent out j ，1≤j≤n。
In some embodiments of example 1, the monitoring and managing the groups of electrical devices 400 according to ADM, maxDM, minDM, and T includes:
establishing average threshold warning information corresponding to each group of electrical devices 400 according to equation (9),
AW=[aw 1 ，aw 2 …aw n ] （9），
in equation (9), AW is the full set of average threshold alert information, AW n Is the nth group average threshold warning information;
and sending out average threshold warning information according to the AW and the at.
In some implementations of example 1, said issuing average threshold alert information as a function of AW and at includes: comparative mindm k The size of mint, if maxdm k Max and min k Greater than or equal to mint, then compare adm k With the size of at, if adm k < 0.9at or adm k If the average value is more than 1.1at, sending out the k-th group average value threshold value warning information aw k ，1≤k≤n。
In embodiment 1, it can be determined whether the electrical equipment in the corresponding site has an abnormal operation condition through the actually measured minimum value and the actually measured maximum value, and it can be determined whether the overall operation performance of the electrical equipment in the corresponding site is stable through the actually measured average value, for example, if the overall rotation speed is too large or too small, it indicates that the overall performance of the electrical equipment in the site is not stable enough. It should be noted that all the electrical devices in this embodiment should be the same type of electrical devices, all the collected operation data should be the same type of operation data, and the expected values (the actual values to be monitored and the expected values being parameter values required for operation) of all the operation data should be the same, so that the calculated measured maximum value, the calculated measured minimum value, and the calculated measured average value and the established threshold value of the operation data have practicability.
As shown in fig. 2 and fig. 3, in embodiment 2 of the present application, an electrical device operation data monitoring and managing system is provided, which includes a cloud monitoring and managing device 100 and n terminal monitoring and managing devices 200, where n is greater than or equal to 3, and each of the terminal monitoring and managing devices 200 is connected to the cloud monitoring and managing device 100;
each of the terminal monitoring and management devices 200 is configured to collect the operation data of each group of electrical devices 400 according to embodiment 1, and calculate measured values, where the measured values include the measured average value, the measured maximum value, and the measured minimum value according to embodiment 1;
the cloud monitoring and management device 100 is configured to group the actually measured average value, the actually measured maximum value, and the actually measured minimum value, and establish the threshold of the operation data according to embodiment 1;
the cloud monitoring and management system is suitable for sending a warning instruction to the terminal monitoring and management device 200 according to the actually measured average value, the actually measured maximum value, the actually measured minimum value and the threshold value of the operation data, and the terminal monitoring and management device 200 is suitable for sending warning information according to the warning instruction.
In some implementations of example 2, the alert information includes maximum threshold alert information, minimum threshold alert information, average threshold alert information.
In some embodiments of example 2, the electrical device operation data monitoring and managing system further includes n displays 300, each display 300 is connected to each terminal monitoring and managing device 200, the terminal monitoring and managing devices 200 are adapted to send warning information to the displays 300, and the displays 300 are used for displaying the warning information; and/or the presence of a gas in the atmosphere,
the terminal monitoring management device 200 is provided with a local database module 201 and a local processing module 202, wherein the local database module 201 is suitable for storing operation data and threshold values of the operation data, and the local processing module 202 is suitable for calculating the measured value according to the operation data; the cloud monitoring and management device 100 has a cloud processing module 101, and the cloud processing module 101 is adapted to compare the measured value with a threshold value of the operating data, and send an alert instruction to the terminal monitoring and management device 200 according to a comparison result.
Preferably, the cloud monitoring management device 100 and the terminal monitoring management device 200 both use computers, the cloud monitoring management device 100 and the terminal monitoring management device 200 communicate through a network cable or a data line, the display 300 and the terminal monitoring management device 200 communicate through a data line or a wireless network (when wireless network communication is adopted, the display 300 with a wireless communication function needs to be adopted), each terminal monitoring management device 200 is respectively arranged in each field, each display 300 is arranged in a monitoring room, and a worker monitors and manages the electrical devices 400 in all the fields in the monitoring room. It should be understood that data communication between the computer and the electrical device 400 cannot be directly performed, and a data conversion module (for example, data communication between the computer and the motor is performed through an ad board) is required, which is prior art and therefore not described in detail in this application.
The threshold value of the operation data is established through input of workers, and the cloud monitoring management device 100 is arranged in the monitoring room, so that the situation that monitoring management cannot be normally performed due to the fact that other personnel in the field change calculation programs or calculation parameters is avoided, and the reliability of the operation data monitoring management of the electrical device 400 is improved.
The cloud monitoring and management device 100 and the terminal monitoring and management device 200 each have a corresponding computer program, and the computer program is used to be executed by a processing module (such as the cloud processing module 101 and the local processing module 202) of a computer to implement the electrical device operation data monitoring and management method according to embodiment 1.
In the embodiments of the present application, it should be noted that, for example, X = [ X ] 1 ，x 2 …x n ]The expression of (2) is the expression of a one-dimensional array, x i Is a sub-element in X, i is more than or equal to 1 and less than or equal to n.
The above examples are only for explaining the present application and are not intended to limit the present application, and those skilled in the art can make modifications to the embodiments of the present application without inventive contribution as needed after reading the present specification, but are protected by patent laws within the scope of the claims of the present application.
Claims (10)
1. A monitoring and management method for electrical equipment operation data is characterized by comprising the following steps:
grouping a plurality of electrical devices according to equation (1),
M=[m 1 ，m 2 …m n ] （1），
in the formula (1), M is a whole group of electric devices, M n Is the n-th group of electrical equipment, n is more than or equal to 3, m n The number of the electrical devices in (1) is more than or equal to 3;
respectively collecting the operation data of each group of electrical equipment, grouping the operation data according to the formula (2),
DM=[dm 1 ，dm 2 …dm n ] （2），
in equation (2), DM is the full set of operating data, DM n Is the nth set of operating data;
respectively calculating the actual measurement average values of each group of operation data, grouping the actual measurement average values according to the formula (3),
ADM=[adm 1 ，adm 2 …adm n ] （3），
in formula (3), ADM is the full set of measured average values, ADM n Is the nth group of measured average values;
respectively calculating the actual measurement maximum values of each group of operation data, grouping the actual measurement maximum values according to the formula (4),
maxDM=[maxdm 1 ，maxdm 2 …maxdm n ] （4），
in formula (4), maxDM is the maximum value measured in the whole group, maxDM n Is the nth set of measured maximum values;
respectively calculating the actual measurement minimum value of each group of operation data, grouping the actual measurement minimum values according to the formula (5),
minDM=[mindm 1 ，mindm 2 …mindm n ] （5），
in formula (5), minDM is the minimum value measured in the whole group, minDM n Is the nth set of measured minimum values;
establishing a threshold for the operational data according to equation (6),
T=[mint，at，maxt] （6），
in equation (6), T is a threshold value of the operation data, mint is a minimum threshold value of the operation data, at is an average threshold value of the operation data, and maxt is a maximum threshold value of the operation data;
and monitoring and managing each group of electrical equipment according to ADM, maxDM, minDM and T.
2. The method for monitoring and managing the operation data of the electrical devices according to claim 1, wherein the monitoring and managing the groups of electrical devices according to ADM, maxDM, minDM, and T comprises:
establishing maximum threshold value warning information corresponding to each group of electrical equipment according to the formula (7),
maxW=[maxw 1 ，maxw 2 …maxw n ] （7），
in equation (7), maxW is the full set of maximum threshold alert information, maxW n Is the nth group maximum threshold warning information;
and sending out maximum threshold warning information according to maxW and maxt.
3. The method for monitoring and managing the operation data of the electrical equipment as claimed in claim 2, wherein the sending out the maximum threshold warning information according to maxW and maxt comprises:
comparison maxdm i The size of maxt, if maxdm i If maxt is greater than maxt, sending the ith group of maximum threshold warning information maxw i ，1≤i≤n。
4. The method for monitoring and managing the operation data of the electrical devices according to claim 1, wherein the monitoring and managing the groups of electrical devices according to ADM, maxDM, minDM, and T comprises:
establishing minimum threshold value warning information corresponding to each group of electrical equipment according to the formula (8),
minW=[minw 1 ，minw 2 …minw n ] （8），
in equation (8), minW is the full set of minimum threshold warning information, minW n Is the nth group minimum threshold value warning information;
and sending out minimum threshold warning information according to the minW and the mint.
5. The method for monitoring and managing the operation data of the electrical equipment as claimed in claim 4, wherein the sending out the minimum threshold warning information according to minW and mint comprises: comparative mindm j And the size of mint, if mindm j If it is less than mint, the jth group of minimum threshold warning information minw is sent out j ，1≤j≤n。
6. The method for monitoring and managing the operation data of the electrical devices according to claim 1, wherein the monitoring and managing the groups of electrical devices according to ADM, maxDM, minDM, and T comprises:
establishing average threshold value warning information corresponding to each group of electrical equipment according to the formula (9),
AW=[aw 1 ，aw 2 …aw n ] （9），
in equation (9), AW is the full set of average threshold alert information, AW n Is the nth group average threshold warning information;
and sending out average threshold warning information according to the AW and the at.
7. Operating device of an electrical apparatus according to claim 6The method for monitoring and managing, wherein the sending out the average threshold warning information according to AW and at comprises: comparative mindm k The size of mint, if maxdm k Less than or equal to maxt and mindm k Greater than or equal to mint, then compare adm k With the size of at, if adm k < 0.9at or adm k If the average value is more than 1.1at, sending out the k-th group average value threshold value warning information aw k ，1≤k≤n。
8. The monitoring and management system for the operating data of the electrical equipment is characterized by comprising cloud monitoring and management equipment and n terminal monitoring and management equipment, wherein n is more than or equal to 3, and each terminal monitoring and management equipment is respectively connected with the cloud monitoring and management equipment;
each terminal monitoring and managing device is used for respectively acquiring the operation data of each group of electrical equipment according to any one of claims 1 to 7 and calculating an actual measurement value, wherein the actual measurement value comprises an actual measurement average value, an actual measurement maximum value and an actual measurement minimum value according to any one of claims 1 to 7;
the cloud monitoring management device is used for grouping the actually measured average value, the actually measured maximum value and the actually measured minimum value respectively and establishing a threshold value of the operation data according to any one of claims 1 to 7;
the cloud monitoring management system is suitable for sending a warning instruction to the terminal monitoring management equipment according to the actually measured average value, the actually measured maximum value, the actually measured minimum value and the threshold value of the operation data, and the terminal monitoring management equipment is suitable for sending warning information according to the warning instruction.
9. The electrical equipment operation data monitoring and management system according to claim 8, wherein the warning information includes maximum threshold warning information, minimum threshold warning information, average threshold warning information.
10. The electrical equipment operation data monitoring and management system according to claim 9, further comprising n displays, each display being connected to each terminal monitoring and management device, the terminal monitoring and management device being adapted to send warning information to the display, the display being configured to display the warning information; and/or the presence of a gas in the gas,
the terminal monitoring management equipment is provided with a local database module and a local processing module, the local database module is suitable for storing operation data and threshold values of the operation data, and the local processing module is suitable for calculating the measured values according to the operation data; the cloud monitoring and management device is provided with a cloud processing module, the cloud processing module is suitable for comparing the measured value with the threshold value of the operating data, and sending a warning instruction to the terminal monitoring and management device according to the comparison result.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140006226A1 (en) * | 2012-06-29 | 2014-01-02 | Fujitsu Limited | Monitoring apparatus and monitoring method |
| CN105634094A (en) * | 2016-01-29 | 2016-06-01 | 山东鲁能智能技术有限公司 | Current-equalizing and grouping method for two-way charger |
| CN109815533A (en) * | 2018-12-14 | 2019-05-28 | 南京河海南自水电自动化有限公司 | It is a kind of difference operating condition under hydroelectric machine group parts Operational Data Analysis method and system |
| CN111371180A (en) * | 2020-03-23 | 2020-07-03 | 国网黑龙江省电力有限公司鹤岗供电公司 | Substation patrol supervision and data analysis system |
| CN111987866A (en) * | 2020-08-14 | 2020-11-24 | 浙江大学 | Temperature monitoring method and device for permanent magnet motor, computer readable storage medium and wind generating set |
| CN112581715A (en) * | 2020-12-10 | 2021-03-30 | 珠海格力电器股份有限公司 | Battery high-temperature alarm method, device and system |
| CN114862821A (en) * | 2022-05-25 | 2022-08-05 | 中关村芯海择优科技有限公司 | Automatic monitoring method, system and equipment for relay protection hard pressing plate |
-
2022
- 2022-08-17 CN CN202210983782.XA patent/CN115047813B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140006226A1 (en) * | 2012-06-29 | 2014-01-02 | Fujitsu Limited | Monitoring apparatus and monitoring method |
| CN105634094A (en) * | 2016-01-29 | 2016-06-01 | 山东鲁能智能技术有限公司 | Current-equalizing and grouping method for two-way charger |
| CN109815533A (en) * | 2018-12-14 | 2019-05-28 | 南京河海南自水电自动化有限公司 | It is a kind of difference operating condition under hydroelectric machine group parts Operational Data Analysis method and system |
| CN111371180A (en) * | 2020-03-23 | 2020-07-03 | 国网黑龙江省电力有限公司鹤岗供电公司 | Substation patrol supervision and data analysis system |
| CN111987866A (en) * | 2020-08-14 | 2020-11-24 | 浙江大学 | Temperature monitoring method and device for permanent magnet motor, computer readable storage medium and wind generating set |
| CN112581715A (en) * | 2020-12-10 | 2021-03-30 | 珠海格力电器股份有限公司 | Battery high-temperature alarm method, device and system |
| CN114862821A (en) * | 2022-05-25 | 2022-08-05 | 中关村芯海择优科技有限公司 | Automatic monitoring method, system and equipment for relay protection hard pressing plate |
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