CN115730762A - Equipment fault state evaluation method and system for regional power grid - Google Patents
Equipment fault state evaluation method and system for regional power grid Download PDFInfo
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- CN115730762A CN115730762A CN202211394766.3A CN202211394766A CN115730762A CN 115730762 A CN115730762 A CN 115730762A CN 202211394766 A CN202211394766 A CN 202211394766A CN 115730762 A CN115730762 A CN 115730762A
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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
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- 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
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Abstract
The invention belongs to the field of equipment management, and particularly relates to a method and a system for evaluating equipment fault states of a regional power grid, wherein the method comprises the following steps: acquiring device attribute data in a regional power grid, and dividing the device attribute data into different state types; acquiring fault data of the equipment in a specified state type according to the annual work records; and calculating the equipment fault state evaluation value of the state type according to the fault data. By acquiring the device attribute data in the regional power grid and dividing the device attribute data into different state types, various working state types can be divided according to the actual device attribute data, the data to be processed is reasonably reduced, and the data processing efficiency is improved; according to the annual working record, acquiring fault data of the equipment in a specified state type, wherein the fault data can be used for judging the condition of equipment fault; and calculating the equipment fault state evaluation value of the state type according to the fault data so as to evaluate the fault state of the equipment.
Description
Technical Field
The invention belongs to the field of equipment management, and particularly relates to a method and a system for evaluating equipment fault states of a regional power grid.
Background
Industrial systems include many devices, especially large industrial systems, and not only are the number of devices large, but also the types and distribution of devices are very different. According to the functions of various devices of the industrial system, a network or a production line is formed, and the overall efficiency of the industrial system can be improved. In order to ensure that the industrial system does not cause the overall efficiency to be reduced due to the abnormality of individual equipment, the equipment needs to be ensured to work normally.
The equipment has corresponding specifications used for describing the upper and lower limits of the working capacity of the equipment. Due to the limitations or requirements of various factors, the actual operating parameters of the equipment generally do not break through the upper and lower limits. However, in the case that the theoretical operating parameters are within the upper and lower limits, the equipment sometimes fails, and in order to correctly grasp the fault state of the equipment, an evaluation of the fault state of the equipment is required to facilitate subsequent maintenance of the equipment.
Disclosure of Invention
In order to solve or improve the above problems, the invention provides a method and a system for evaluating the equipment fault state of a regional power grid, and the specific technical scheme is as follows:
the invention provides a method for evaluating the equipment fault state of a regional power grid, which comprises the following steps: acquiring device attribute data in a regional power grid, and dividing the device attribute data into different state types; acquiring fault data of the equipment in a specified state type according to the annual working record; and calculating the equipment fault state evaluation value of the state type according to the fault data.
Preferably, the device attribute data includes a device model, device working data and working environment data; the status types include a normal status, an attention status, an abnormal status, and a serious status.
Preferably, the fault data includes the number of fault equipment units and the total number of equipment units; the calculating the equipment fault state evaluation value of the state type according to the fault data comprises the following steps:
and P is the average failure rate of the equipment in the specified state, nf is the number of equipment failures in the specified state, and Nf is the total number of the equipment in the specified state.
Preferably, the acquiring of the device attribute data in the regional power grid and the dividing into different state types includes: planning an equipment operation scheme, and setting corresponding weights for the equipment working data and the working environment data; and dividing different state types for different types of equipment according to the weighted equipment working data and the weighted working environment data.
Preferably, the equipment operation scheme is planned according to local attributes of the regional power grid.
The invention provides an equipment fault state evaluation system of a regional power grid, which comprises: the device comprises a first unit, a second unit and a third unit, wherein the first unit is used for acquiring device attribute data in a regional power grid and dividing the device attribute data into different state types; the second unit is used for obtaining fault data of the equipment in a specified state type according to the annual working record; and the third unit is used for calculating the equipment fault state evaluation value of the state type according to the fault data.
Preferably, the device attribute data includes a device model, device working data and working environment data; the status types include a normal status, an attention status, an abnormal status, and a serious status.
Preferably, the fault data includes the number of fault equipment units and the total number of equipment units; the calculating the equipment fault state evaluation value of the state type according to the fault data comprises the following steps:
and P is the average failure rate of the equipment in the specified state, nf is the number of the equipment failures in the specified state, and Nf is the total number of the equipment in the specified state.
Preferably, the acquiring of the device attribute data in the regional power grid and the dividing into different state types includes: planning an equipment operation scheme, and setting corresponding weights for the equipment working data and the working environment data; and dividing different state types for different types of equipment according to the weighted equipment working data and the weighted working environment data.
Preferably, the equipment operation scheme is planned according to local attributes of the regional power grid.
The invention has the beneficial effects that: by acquiring the device attribute data in the regional power grid and dividing the device attribute data into different state types, various working state types can be divided according to the actual device attribute data, the data to be processed is reasonably reduced, and the data processing efficiency is improved; according to the annual working record, obtaining fault data of the equipment in a specified state type, wherein the fault data can be used for judging the condition of equipment fault; and calculating the equipment fault state evaluation value of the state type according to the fault data so as to evaluate the fault state of the equipment.
Drawings
Fig. 1 is a schematic diagram of a method of assessing a fault condition of equipment of a regional power grid in accordance with the present invention;
fig. 2 is a schematic diagram of an equipment fault status evaluation system of a regional power grid according to the present invention.
Description of the main reference numerals:
1-first unit, 2-second unit, 3-third unit.
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 some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
In order to solve or improve the problems mentioned above, the present invention provides a method for evaluating a fault state of a device in a regional power grid, as shown in fig. 1, the method including: s1, acquiring device attribute data in a regional power grid, and dividing the device attribute data into different state types; s2, acquiring fault data of the equipment in a specified state type according to the annual work record; and S3, calculating the equipment fault state evaluation value of the state type according to the fault data.
The power grid is a power network and comprises a power generation link, a power transmission link and a power utilization link; due to environmental pollution and safety, the power generation link and the power utilization link are generally far apart, and electric energy needs to be transmitted by means of the power transmission link. The large-scale power network even spans provinces and regions, the number of related devices is large, and severe software and hardware requirements are provided for large-area unified management; meanwhile, the setting of the electricity utilization link or the electricity generation link generally meets the requirement of setting in a single area so as to avoid chaotic responsibility in management, and therefore a large-scale power network can be divided into different regional power grids according to different installation areas.
The equipment attribute data is used for describing the specification and the actual working condition of the equipment, and different equipment specifications and working parameters can be combined according to the actual equipment specification and the artificially identified working condition. The data combination is judged/divided to meet a certain data threshold value to obtain different state types, and the experience (namely the confirmed working condition) of the working personnel can be converted into an actual data processing rule. The state type is used for describing the working state of the equipment, and when the equipment attribute data meets a certain condition, the equipment belongs to the corresponding state. By dividing the equipment attribute data into different intervals, the equipment can be divided into various working state types, the data to be processed is reasonably reduced, and the data processing efficiency is improved.
The working cycle of the equipment is matched with the human activity, and the cycle of the human activity is repeated by taking years as a unit, so that fault data of the equipment in a specified state type can be obtained according to annual working records, and abnormal fluctuation of the fault data can be avoided. The annual working record is the acquisition result of various data of the equipment acquired within one year in the calendar meaning. According to the data acquisition result and the data processing process, the working parameters of the equipment in a certain time or time period are marked as corresponding working states, and then the fault data are obtained by reconfirming the working parameters of the corresponding equipment according to the working states.
And calculating the equipment fault state evaluation value of the state type according to a preset data processing algorithm and the fault data so as to show the equipment fault state and the fault expectation.
The equipment attribute data comprises equipment model, equipment working data and working environment data; the status types include a normal status, an attention status, an abnormal status, and a serious status.
The device model is an initial attribute of the device, and is used for describing the structure, function, specification and other contents of the device. The device operation data is various data (for example, operation parameters of the device itself and output data) generated by the device in actual operation. The working environment data is data which is external to the equipment and can influence the operation of the equipment, such as power supply voltage, fuel required by the operation, temperature control and the like. The specification and the actual working condition of the equipment can be described through the equipment attribute data.
The normal state is a state in which the operating parameters of the device are within the specification of the device and conform to the current application environment, and specifically, the operating parameters of the device are different but all within the specification in different application environments. Note that the state is a state in which the operating parameters of the device are within the specification but do not completely conform to the current application environment, and specifically, the device is still operating normally, but this normal refers to normal with respect to the specification, not normal with respect to the current application environment, that is, the device cannot perfectly configure the current application environment. The abnormal state is that the operating parameter of the device approaches or exceeds the specification of the device, or still belongs to the specification but is disadvantageous to the current application environment, for example, the device may cause the current application environment to become inefficient. A severe condition is one in which the operating parameters of the device exceed specifications or have a strong negative impact on the current application environment.
The industrial system adopts a great number of devices with different models, so that the related data is huge and difficult to process. Through the device attribute data and the state type, the actual working parameters of the device can be simplified and divided, and the data processing pressure is reduced.
The fault data comprises the number of fault equipment and the total number of equipment; the calculating the equipment fault state evaluation value of the state type according to the fault data comprises the following steps:
and P is the average failure rate of the equipment in the specified state, nf is the number of equipment failures in the specified state, and Nf is the total number of the equipment in the specified state.
By passing
The average failure rate of the equipment under different states (namely, the specified state) can be reasonably calculated, and the failure state of the equipment is evaluated.
The method for acquiring the device attribute data in the regional power grid and dividing the device attribute data into different state types comprises the following steps: planning an equipment operation scheme, and setting corresponding weights for the equipment working data and the working environment data; and dividing different state types for different types of equipment according to the weighted equipment working data and the weighted working environment data.
The power grids in different areas have different working environments and different output powers, so that a uniform evaluation method is not suitable for the power grids in different areas. Specifically, an equipment operation scheme needs to be planned to determine a working target of the equipment, and field workers need to change actual working configuration of the equipment to complete the working target, so that both equipment working data and working environment data can be changed, and a weight is set according to the change to modify a standard for dividing state types, so that the accuracy rate of evaluating equipment faults can be improved.
And planning the equipment operation scheme according to the local attribute of the regional power grid.
Different areas have different power generation, transmission and utilization, and need to be planned by combining local attributes, particularly. The local attributes include the content of the power grid, such as whether the content includes the power generation link, the equipment and working environment of the specific power transmission link, the power consumption and the like. The corresponding planned equipment operation scheme needs to meet the requirements of power generation amount control, power transmission control and power utilization.
The invention provides an equipment fault state evaluation system of a regional power grid as shown in fig. 2, which comprises: the system comprises a first unit 1, a second unit and a third unit, wherein the first unit is used for acquiring device attribute data in a regional power grid and dividing the device attribute data into different state types; the second unit 2 is used for acquiring fault data of the equipment in a specified state type according to the annual work records; a third unit 3, configured to calculate an apparatus failure state evaluation value of the state type according to the failure data.
The power grid is a power network and comprises a power generation link, a power transmission link and a power utilization link; due to environmental pollution and safety, the power generation link and the power utilization link are generally far apart, and electric energy needs to be transmitted by means of the power transmission link. The large-scale power network even spans provinces and regions, the number of the related equipment is large, and severe software and hardware requirements are provided for large-area unified management; meanwhile, the setting of the electricity utilization link or the electricity generation link generally meets the requirement of setting in a single area so as to avoid disordered responsibility in the aspect of management, and therefore, a large-scale power network can be divided into different regional power networks according to different installation areas.
The equipment attribute data is used for describing the specification and the actual working condition of the equipment, and different equipment specifications and working parameters can be combined according to the actual equipment specification and the artificially identified working condition. The data combination is judged/divided by meeting a certain data threshold value to obtain different state types, and the experience (namely the confirmed working condition) of the staff can be converted into an actual data processing rule. The state type is used for describing the working state of the equipment, and when the equipment attribute data meets a certain condition, the equipment belongs to the corresponding state. By dividing the attribute data of the equipment into different intervals, the equipment can be divided into various working state types, the data to be processed is reasonably reduced, and the data processing efficiency is improved.
The working cycle of the equipment is matched with the human activity, and the cycle of the human activity is repeated by taking years as a unit, so that fault data of the equipment in a specified state type can be obtained according to annual working records, and abnormal fluctuation of the fault data can be avoided. The annual working record is the collection result of various data of the equipment acquired within one year in the historic meaning. According to the data acquisition result and the data processing process, the working parameters of the equipment in a certain time or time period are marked as corresponding working states, and then the fault data are obtained by reconfirming the working parameters of the corresponding equipment according to the working states.
And calculating the equipment fault state evaluation value of the state type according to a preset data processing algorithm and the fault data so as to show the equipment fault state and the fault expectation.
The equipment attribute data comprises equipment model, equipment working data and working environment data; the status types include a normal status, an attention status, an abnormal status, and a severe status.
The fault data comprises the number of fault equipment and the total number of equipment; the calculating the equipment fault state evaluation value of the state type according to the fault data comprises the following steps:
and P is the average failure rate of the equipment in the specified state, nf is the number of equipment failures in the specified state, and Nf is the total number of the equipment in the specified state.
The method for acquiring the device attribute data in the regional power grid and dividing the device attribute data into different state types comprises the following steps: planning an equipment operation scheme, and setting corresponding weights for the equipment working data and the working environment data; and dividing different state types for different types of equipment according to the weighted equipment working data and the weighted working environment data.
And planning the equipment operation scheme according to the local attribute of the regional power grid.
Those of ordinary skill in the art will appreciate that the elements of the examples described in connection with the embodiments disclosed in this specification can be implemented as electronic hardware, computer software, or combinations of both, and that the components of the examples have been described above generally in terms of their functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present application, it should be understood that the division of a unit is only one logical function division, and in actual implementation, there may be another division manner, for example, multiple units may be combined into one unit, one unit may be split into multiple units, or some features may be omitted.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being covered by the appended claims and their equivalents.
Claims (10)
1. A method for evaluating the equipment fault state of a regional power grid is characterized by comprising the following steps:
acquiring device attribute data in a regional power grid, and dividing the device attribute data into different state types;
acquiring fault data of the equipment in a specified state type according to the annual working record;
and calculating the equipment fault state evaluation value of the state type according to the fault data.
2. The equipment fault state evaluation method for the regional power grid according to claim 1, wherein the equipment attribute data comprises equipment model, equipment working data and working environment data;
the status types include a normal status, an attention status, an abnormal status, and a severe status.
3. The equipment fault state evaluation method of the regional power grid according to claim 2, wherein the fault data includes the number of equipment faults and the total number of equipment;
the calculating the equipment fault state evaluation value of the state type according to the fault data comprises the following steps:
4. The method for evaluating the equipment fault state of the regional power grid according to claim 3, wherein the obtaining of the equipment attribute data in the regional power grid and the dividing into different state types comprises:
planning an equipment operation scheme, and setting corresponding weights for the equipment working data and the working environment data;
and dividing different state types for different types of equipment according to the weighted equipment working data and the weighted working environment data.
5. The method for evaluating the equipment fault state of the regional power grid according to claim 4, wherein the equipment operation scheme is planned according to local attributes of the regional power grid.
6. An equipment fault condition evaluation system for a regional power grid, comprising:
the system comprises a first unit, a second unit and a third unit, wherein the first unit is used for acquiring device attribute data in a regional power grid and dividing the device attribute data into different state types;
the second unit is used for obtaining fault data of the equipment in a specified state type according to the annual work record;
and the third unit is used for calculating the equipment failure state evaluation value of the state type according to the failure data.
7. The system for evaluating the equipment fault state of the regional power grid according to claim 6, wherein the equipment attribute data comprises equipment model, equipment working data and working environment data;
the status types include a normal status, an attention status, an abnormal status, and a severe status.
8. The system for evaluating a device fault state of a regional power grid according to claim 7, wherein the fault data includes a number of device faults and a total number of devices;
the calculating the equipment fault state evaluation value of the state type according to the fault data comprises the following steps:
9. The system according to claim 8, wherein the acquiring of the device attribute data in the regional power grid and the dividing into different state types comprises:
planning an equipment operation scheme, and setting corresponding weights for the equipment working data and the working environment data;
and dividing different state types for different types of equipment according to the weighted equipment working data and the weighted working environment data.
10. The system for evaluating the equipment failure state of the regional power grid according to claim 9, wherein the equipment operation scheme is planned according to local attributes of the regional power grid.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211394766.3A CN115730762A (en) | 2022-11-08 | 2022-11-08 | Equipment fault state evaluation method and system for regional power grid |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211394766.3A CN115730762A (en) | 2022-11-08 | 2022-11-08 | Equipment fault state evaluation method and system for regional power grid |
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| CN115730762A true CN115730762A (en) | 2023-03-03 |
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| CN202211394766.3A Pending CN115730762A (en) | 2022-11-08 | 2022-11-08 | Equipment fault state evaluation method and system for regional power grid |
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- 2022-11-08 CN CN202211394766.3A patent/CN115730762A/en active Pending
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