CN113095523B - Cable fault big data early warning system - Google Patents
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Abstract
The utility model relates to a big data early warning system of cable fault belongs to the field of cable maintenance, a problem for solving the difficult rational determination of volume of renewing the cable among the correlation technique, it includes cable information acquisition module and cable change prediction module, wherein cable information acquisition module is used for acquireing the live time information that carries the label information of underground cable, live environment information and fault record information, cable change prediction module is used for according to the live time information, live environment information and fault record information confirm the prediction of underground cable and change the time. The system can reasonably predict the replacement time of the underground cable, and reasonably determine the amount of the reserved new cable according to the predicted replacement time, so that the amount of the new cable can meet the replacement requirement of the underground cable in time, and the storage cost of the new cable can be reduced.
Description
Technical Field
The application relates to the field of cable maintenance, in particular to a cable fault big data early warning system.
Background
Underground cable is in long-term use, because of factors such as ageing, damage be difficult to avoid can break down, some trouble can be through overhauing recovering, make underground cable put into operation again, also some trouble can't be through overhauing recovering, need change underground cable.
Generally, a new cable for replacement is always provided in an area where the underground cable is laid. Underground cables are generally used for power transmission and are required to resist the damp environment of the underground and the destruction of underground organisms such as rats, which results in the underground cables generally having a long length, a large radius, and a thick outer insulating layer, i.e., the underground cables have a large volume and weight as a whole. If there are many stock new cables for replacement, the storage cost may be increased, and if there are few stock new cables, the stock of the new cables may not meet the replacement requirement of the underground cable in time.
Disclosure of Invention
In order to enable the volume of the new cable which is always provided with the cable to meet the replacement requirement of the underground cable in time and reduce the storage cost, the application provides a cable fault big data early warning system.
The application provides a big data early warning system of cable fault adopts following technical scheme:
a cable fault big data early warning system, comprising: the device comprises a cable information acquisition module and a cable replacement prediction module;
the cable information acquisition module is used for acquiring service time information, service environment information and fault record information of the underground cable based on label information of the underground cable;
and the cable replacement prediction module is used for determining the predicted replacement time of the underground cable according to the use time information, the use environment information and the fault record information based on the label information of the underground cable.
Through adopting above-mentioned technical scheme, this system can rationally predict underground cable's change time to rationally confirm underground cable's change demand, so that the volume of new cable standing by is comparatively reasonable, can enough in time satisfy underground cable's change demand promptly, can reduce the storage cost again.
Optionally, the system further comprises: a cable deployment indication module;
the cable deployment indication module is configured to:
determining cable deployment indication information according to the predicted replacement time based on preset replacement cable arrangement point information and the corresponding relation between the replacement cable arrangement point information and the label information; the cable deployment indication information is used for indicating a new cable arrangement task of a new cable arrangement point.
Optionally, the cable information obtaining module is further configured to:
acquiring the time of use carrying the label information;
and determining the service time information according to the service time based on timing logic.
Optionally, the usage environment information includes climate environment information, ecological environment information, and geological environment information.
Optionally, the cable information obtaining module is further configured to:
acquiring fault occurrence information and maintenance result information which carry the label information;
determining fault record information according to the fault occurrence information and the maintenance result information based on historical fault records; the fault recording information comprises fault occurrence time, fault occurrence frequency and fault occurrence reasons.
Optionally, the cable replacement prediction module is further configured to:
classifying the fault occurrence reasons based on label information of underground cables;
matching the classified fault occurrence reasons with one or more of the service time, the climate environment information, the ecological environment information and the geological environment information based on a preset matching rule;
determining the fault occurrence time and the fault occurrence frequency corresponding to the fault of each type of fault occurrence reason;
predicting the fault occurrence trend of the underground cable based on the fault occurrence time and the fault occurrence frequency corresponding to the fault of each type of fault occurrence reason;
and determining the predicted replacement time according to the fault occurrence trend based on a preset replacement standard.
Optionally, the cable deployment indication module is further configured to:
acquiring all predicted replacement time corresponding to the information of each new cable arrangement point;
and determining the new cable arrangement task according to all the predicted replacement time based on a preset cable preparation period.
Optionally, the tag information includes end point information of the underground cable;
the new cable arrangement point information carries branch management range information, and the cable arrangement indicating module is further used for generating the corresponding relation according to the position information reflected by the end point information and the branch management range information.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the cable fault big data early warning system can reasonably determine the quantity of the stock new cables, so that the stock new cables can meet the replacement requirement of underground cables in time and reduce the storage cost;
2. and classifying the failure occurrence reasons, predicting the predicted replacement time of each underground cable according to the failure occurrence time and the failure occurrence frequency of different types of failures, and facilitating more accurate prediction results.
It should be understood that what is described in this summary section is not intended to limit key or critical features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will become apparent from the following description.
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The above and other features, advantages and aspects of embodiments of the present application will become more apparent upon consideration of the following detailed description, taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters denote like or similar elements, and wherein:
fig. 1 shows a block diagram of a cable fault big data early warning system in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making creative efforts shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
In this application, the volume of new cable that stands by is confirmed through the change time of reasonable prediction underground cable to the volume that makes new cable stand by can enough in time satisfy underground cable's change demand, can reduce the storage cost again.
Fig. 1 shows a block diagram of a cable fault big data early warning system 100 in an embodiment of the present application.
In the present disclosure, the system 100 may be a software system that can be installed in a hardware device such as a computer to implement an application, or may be a practically applicable system in which a software system and a hardware system are combined.
During the application process of the system 100, the terminal 200 is connected through a specific communication protocol, so that data interaction between the terminal 200 and the system 100 can be realized. The terminal 200 and the system 100 may be connected in a wired communication manner or in a wireless communication manner, and a wireless communication connection is generally selected to make the terminal 200 more flexible to use.
The terminal 200 of the connection system 100 may be used by a worker performing cable routing, cable maintenance, cable provisioning, and the like.
Before the underground cable is laid, the worker needs to explore the laying environment of the underground cable when determining the laying strategy of the underground cable, after the exploration is completed, the worker can send the use environment information to the system 100 through the terminal 200, and the use environment information reflects the environment in which the underground cable is put into use, such as the climate environment, the ecological environment and the geological environment.
In the process of laying underground cables, workers can send the in-use time of the cables to the system 100 through the terminal 200, and the in-use time reflects that the underground cables are put into use at a certain time.
The staff can know when underground cable trouble, promptly the staff can confirm the time that underground cable broke down, staff's accessible terminal 200 sends the trouble emergence information to system 100 this moment, trouble emergence information reflects certain underground cable certain time break down, after underground cable overhauls the completion, the staff can be through terminal 200 with underground cable's maintenance result information transmission to system 100, maintenance result information reflects fault position and trouble emergence reason in the underground cable, if a plurality of fault positions appear, then a fault position corresponds a trouble and takes place the reason.
The staff responsible for cable provisioning can receive the information sent by the system 100 through the terminal 200, and perform provisioning work for a new cable according to the information sent by the system 100. The information sent by the system 100 reflects the predicted replacement time of the underground cable, that is, the main function of the system 100 is to determine the predicted replacement time of the underground cable according to the information of the underground cable on use, the information of the fault occurrence and the information of the maintenance result.
Since the system 100 can manage a large number of underground cables, in order to distinguish the related information of different underground cables, the information of the investment, the information of the fault occurrence and the information of the maintenance result all carry the label information of the underground cables. In the present disclosure, the tag information of the underground cable reflects both end positions of the underground cable.
The system 100 is specifically disclosed below.
Referring to fig. 1, system 100 includes a cable information acquisition module 110 and a cable replacement prediction module 120. The cable information obtaining module 10 is configured to receive the service time, the service environment information, the fault occurrence information, and the repair result information sent by the terminal 200, and the cable replacement predicting module 120 is configured to determine the predicted replacement time of the underground cable according to the information sent by the terminal 200.
One function of the cable information acquisition module 110 is to determine the service time information of the underground cable according to the service time of the underground cable, and the service time information reflects the service time of the underground cable. After receiving the time-in-use sent by the terminal 200, the cable information obtaining module 110 may determine the time-in-use information of the underground cable based on the time-in-use and the timing logic of the timing module built in the system 100.
Another function of the cable information acquisition module 120 is to determine fault log information of the underground cable according to the underground cable fault occurrence information and the overhaul result information, where the fault log information includes fault occurrence time determined according to the fault occurrence information of the underground cable, fault occurrence cause determined according to the overhaul result information of the underground cable, and fault occurrence frequency determined according to the fault occurrence information and the overhaul result information of the underground cable. The failure occurrence information carries the failure occurrence time, and the maintenance result information carries the failure occurrence reason, which are not described in detail herein.
The specific process of determining the fault occurrence frequency according to the fault occurrence time and the maintenance result information comprises the following steps: and receiving fault occurrence information, determining fault occurrence time according to the fault occurrence information, and then determining the number of fault points of the fault according to the maintenance result information of the fault, so that the fault point position and the fault point occurrence time of each fault of the underground cable can be determined, and the fault occurrence frequency of the underground cable can be correspondingly determined.
Of course, the cause of the fault at each fault point location for each fault can also be determined.
The cable information acquisition module 110 may add the fault log information to a storage space for storing fault records to form a historical fault record for the underground cable.
The method for determining the predicted replacement time of the underground cable by the cable replacement prediction module 120 is as follows:
the cable replacement prediction module 120 retrieves the failure occurrence cause of each underground cable based on the tag information of the underground cable, and classifies the failure occurrence cause.
In the present disclosure, the system 100 includes a preset matching rule, the preset matching rule reflects a correspondence between the failure occurrence cause and one or more of the time of use, the climate environment information, the ecological environment information, and the geological environment information, and the correspondence principle is based on a causal relationship, that is, the failure occurrence cause is caused by which one or more of the time of use, the climate environment information, the ecological environment information, and the geological environment information, and it is determined that the failure occurrence cause corresponds to the corresponding condition factor. For example, the failure caused by aging corresponds to the time of use and the information of the climate environment, the failure caused by biological damage corresponds to the information of the ecological environment, the failure caused by natural damage corresponds to the information of the geological environment, and the like.
The preset matching rules may include the options of the causes of the failures such as aging, biological damage, and natural damage. When the terminal 200 sends the maintenance result information to the system 100, the system 100 may open an interface for selecting the cause of the fault for the terminal 200, so that the worker may select the cause of the fault adapted to the preset matching rule of the system 100, so that the system 100 may classify the cause of the fault.
After the failure occurrence causes are classified, the cable replacement prediction module 120 may determine the failure occurrence time and the failure occurrence frequency corresponding to the failure of each type of failure occurrence cause, by combining the failure horizontal time and the failure occurrence frequency.
For each type of failure cause, cable replacement prediction module 120 is able to predict failure trends. For example, after the fault caused by aging is repaired, the cable prediction replacement module 120 may reasonably predict the fault occurrence trend of the underground cable corresponding to aging according to the fault occurrence time and the fault occurrence frequency of the fault caused by aging in the historical fault record. For another example, based on the failure occurrence time and failure occurrence frequency of failures caused by biological damage in the historical failure records, the failure occurrence trend of the underground cable corresponding to the biological damage can be reasonably predicted by combining the habits of the underground organisms, and the failure point position of the underground cable can also be reasonably predicted by combining the geological environment information of the underground cable and the habits of the underground organisms. As such, examples of predicting failure trends are not exhaustive.
And aiming at each underground cable, comprehensively considering the fault occurrence time and the fault occurrence frequency corresponding to the fault of each type of fault occurrence reason, and reasonably determining the total fault occurrence trend of the underground cable. Based on the replacement criteria preset in the system 100, the predicted replacement time of the underground cable can be determined, the predicted repair time of the underground cable can also be determined, and guidance can also be provided for the laying work of the underground cable under the same condition factors. The preset replacement standard comprises a frequency threshold, and when the frequency of fault occurrence is larger than the frequency threshold, the underground cable is predicted to need to be replaced.
The system 100 further includes a cable deployment indication module 130, where the cable deployment indication module 130 is configured to determine cable deployment indication information according to preset information of the new cable arrangement point and a corresponding relationship between the information of the new cable arrangement point and the tag information, in combination with the predicted replacement time. The cable deployment indication information is used for indicating a new cable arrangement task of the new cable arrangement point.
The new cable arrangement point information is prestored in the system 100, and reflects the storage positions of the new cables, each new cable arrangement point information includes a unique identifier, the system 100 also prestores the branch management range information of the new cable arrangement point information, the label information of the underground cable includes the positions of two ends of the underground cable, and if the position of one end of the underground cable falls within the range reflected by the branch management range information of the new cable arrangement point information, the system 100 judges that the label information of the underground cable corresponds to the new cable arrangement point information. The label information of the underground cable corresponds to the information of the new cable arrangement point, which indicates that the new cable arrangement point stores the new cable used for replacing the underground cable.
The cable deployment indicating module 130 can predict all the replacement times corresponding to the information of each new cable arrangement point, a cable preparation period is prestored in the system 100, a new cable arrangement task can be determined according to the cable preparation period and all the corresponding predicted replacement times, and the new cable arrangement task indicates that the new cable arrangement point completes preparation of a new cable before the predicted replacement time of the underground cable.
The specific implementation principle of the embodiment of the application is as follows: based on the big data of underground cable service conditions, the system 100 can reasonably speculate the replacement time of the underground cable to indicate the preparation work of corresponding new cables, so that the amount of new cables replacing the new cable arrangement point reserves is reasonable, the replacement demand of the underground cable can be timely met, the amount of the new cables reserving can be reduced as much as possible, and the storage cost is reduced.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other combinations of features described above or their equivalents without departing from the spirit of the disclosure. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (6)
1. The utility model provides a cable fault big data early warning system which characterized in that includes: the system comprises a cable information acquisition module (110), a cable replacement prediction module (120) and a cable deployment indication module (130);
the cable information acquisition module (110) is used for acquiring the in-service time information, the service environment information and the fault record information of the underground cable based on the label information of the underground cable;
the method for acquiring the fault information based on the label information of the underground cable specifically comprises the following steps:
acquiring fault occurrence information and maintenance result information which carry the label information;
determining fault record information according to the fault occurrence information and the maintenance result information based on historical fault records; the fault recording information comprises fault occurrence time, fault occurrence frequency and fault occurrence reason; the specific process of determining the fault occurrence frequency according to the fault occurrence time and the maintenance result information comprises the following steps: receiving fault occurrence information, determining fault occurrence time according to the fault occurrence information, and then determining the number of fault points of the fault according to the maintenance result information of the fault, so that the fault point position and the fault point occurrence time of each fault of the underground cable can be determined, and the fault occurrence frequency of the underground cable can be correspondingly determined;
the cable replacement prediction module (120) is configured to:
classifying the fault occurrence reasons based on label information of underground cables;
matching the classified fault occurrence reasons with one or more of the service time, the climate environment information, the ecological environment information and the geological environment information based on a preset matching rule; the preset matching rule reflects the corresponding relation between the fault occurrence reason and one or more of the time of use, the climate environment information, the ecological environment information and the geological environment information, and the corresponding principle is based on the causal relation;
determining the fault occurrence time and the fault occurrence frequency corresponding to the fault of each type of fault occurrence reason;
predicting the fault occurrence trend of the underground cable based on the fault occurrence time and the fault occurrence frequency corresponding to the fault of each type of fault occurrence reason;
based on a preset replacement standard, determining and predicting replacement time according to the failure occurrence trend;
the method comprises the steps that a preset replacement standard can determine the predicted replacement time of the underground cable, can also determine the predicted maintenance time of the underground cable, and can also guide the laying work of the underground cable with the same condition factors, wherein the preset replacement standard comprises a frequency threshold value, and when the frequency of faults is greater than the frequency threshold value, the underground cable is predicted to need to be replaced.
2. The cable fault big data early warning system of claim 1, further comprising: a cable deployment indication module (130);
the cable deployment indication module (130) is configured to:
determining cable deployment indication information according to the predicted replacement time based on preset replacement cable arrangement point information and the corresponding relation between the replacement cable arrangement point information and the label information; the cable deployment indication information is used for indicating a new cable arrangement task of a new cable arrangement point.
3. The cable fault big data early warning system of claim 1 or 2, wherein the cable information acquisition module (110) is further configured to:
acquiring the time of use carrying the label information;
and determining the service time information according to the service time based on timing logic.
4. The cable fault big data early warning system of claim 2, wherein the usage environment information comprises climate environment information, ecological environment information, and geological environment information.
5. The cable fault big data early warning system of claim 1, wherein the cable deployment indication module (130) is further configured to:
acquiring all predicted replacement time corresponding to each new cable arrangement point information;
and determining the new cable arrangement task according to all the predicted replacement time based on a preset cable preparation period.
6. The cable fault big data early warning system of claim 2, wherein the tag information comprises end point information of an underground cable;
the new cable arrangement point information carries branch management range information, and the cable arrangement indicating module (130) is further configured to generate the corresponding relationship according to the position information reflected by the end point information and the branch management range information.
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| CN113960408B (en) * | 2021-09-14 | 2024-06-11 | 广州番禺电缆集团有限公司 | Cable fault prediction method, device and equipment for optical fiber temperature measurement and storage medium |
| CN114076873B (en) * | 2021-11-04 | 2023-10-24 | 广州番禺电缆集团有限公司 | Cable fault analysis and prediction method and device |
| CN115796395B (en) * | 2023-02-02 | 2023-05-16 | 广东南海电力设计院工程有限公司 | Electric network cable laying environment prediction system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104811492A (en) * | 2015-04-17 | 2015-07-29 | 北京国城科绿色照明科技研究中心有限公司 | Underground cable monitoring device and method based on urban lightning nodes |
| CN110245446A (en) * | 2019-06-21 | 2019-09-17 | 华中科技大学 | A kind of distribution cable method for predicting residual useful life |
| CN110763952A (en) * | 2019-10-29 | 2020-02-07 | 湖南国奥电力设备有限公司 | Underground cable fault monitoring method and device |
| CN111274546A (en) * | 2020-02-26 | 2020-06-12 | 广东电网有限责任公司 | Cable system fault analysis method |
| CN112668730A (en) * | 2019-10-15 | 2021-04-16 | 深圳怡化电脑股份有限公司 | Self-service equipment module replacement method and device, computer equipment and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160379144A1 (en) * | 2015-06-29 | 2016-12-29 | Ricoh Company, Ltd. | Information processing system and failure prediction model adoption determining method |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104811492A (en) * | 2015-04-17 | 2015-07-29 | 北京国城科绿色照明科技研究中心有限公司 | Underground cable monitoring device and method based on urban lightning nodes |
| CN110245446A (en) * | 2019-06-21 | 2019-09-17 | 华中科技大学 | A kind of distribution cable method for predicting residual useful life |
| CN112668730A (en) * | 2019-10-15 | 2021-04-16 | 深圳怡化电脑股份有限公司 | Self-service equipment module replacement method and device, computer equipment and storage medium |
| CN110763952A (en) * | 2019-10-29 | 2020-02-07 | 湖南国奥电力设备有限公司 | Underground cable fault monitoring method and device |
| CN111274546A (en) * | 2020-02-26 | 2020-06-12 | 广东电网有限责任公司 | Cable system fault analysis method |
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