CN113740776B - Cable sheath grounding loop fault prediction method, device, equipment and storage medium - Google Patents
Cable sheath grounding loop fault prediction method, device, equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/58—Testing of lines, cables or conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
Abstract
The invention discloses a cable sheath grounding loop fault prediction method, device, equipment and storage medium, wherein monitoring data of a cable and environmental data of the position of the cable are obtained periodically; in the current period, updating a first queue according to the monitoring data, updating a second queue according to the environment data, wherein the first queue contains the historically acquired monitoring data, and the second queue contains the historically acquired environment data; determining a state change trend of the cable based on the updated first queue, and determining an environment change trend of the position of the cable based on the updated second queue; and predicting the probability of the grounding loop fault of the cable sheath according to the state change trend and the environment change trend. The method and the device solve the technical problems that when the ground loop fault of the cable sheath is predicted, the change trend of the monitoring data of the cable sheath after a period of history is not considered, and the accuracy of the ground loop fault prediction result is low.
Description
Technical Field
The embodiment of the application relates to the field of cable sheath detection, in particular to a cable sheath grounding annular fault prediction method, device and equipment and a storage medium.
Background
Currently, in the production and manufacture of cables, in order to protect the cable core of the cable, the exterior of the cable is generally provided with a metal sheath. However, the metal sheath may generate induced voltage due to electromagnetic induction during the transmission of electric energy. When the metal sheath is grounded in multiple points for various reasons, the grounding circuit and the metal sheath form a closed loop, so that sheath circulation is generated, the loss of the sheath is increased, the current carrying capacity of the cable is affected, and even the cable is seriously heated to burn out.
When the cable sheath is subjected to grounding annular fault prediction at present, the cable sheath is generally monitored in real time, the grounding annular fault prediction is carried out according to monitoring data monitored in real time, and the change trend of the monitoring data of the cable sheath in a period of history is not considered in the process, so that the accuracy of a grounding annular fault prediction result is lower.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for predicting a grounding annular fault of a cable sheath, which solve the technical problems that the change trend of monitoring data of the cable sheath for a period of time is not considered when the grounding annular fault of the cable sheath is predicted at present, and the accuracy of a grounding annular fault prediction result is lower.
In a first aspect, an embodiment of the present invention provides a method for predicting a ground loop fault of a cable jacket, including the following steps:
periodically acquiring monitoring data of a cable and environment data of the position of the cable;
in the current period, updating a first queue according to the monitoring data, updating a second queue according to the environment data, wherein the first queue contains the monitoring data obtained in a history, and the second queue contains the environment data obtained in a history;
determining a state change trend of the cable based on the updated first queue, and determining an environment change trend of the cable position based on the updated second queue;
and judging whether the cable protective layer has a grounding annular fault in the next period according to the state change trend and the environment change trend.
Preferably, the monitoring data includes cable sheath ground current data, three-phase ground current data, cable joint temperature data, and cable vibration data.
Preferably, the environmental data includes temperature data and humidity data.
Preferably, the first queue and the second queue are double-ended queues, the first queue includes monitoring data acquired in the first N periods, and the second queue includes environmental data acquired in the first N periods;
correspondingly, the specific process of updating the first queue according to the monitoring data and updating the second queue according to the environmental data is as follows:
adding the monitoring data acquired in the current period to the tail end of the last monitoring data of the first queue, and removing the first monitoring data in the first queue; and adding the environmental data acquired in the current period to the tail end of the last environmental data in the second queue, and removing the first environmental data in the second queue.
Preferably, the specific process of judging whether the cable sheath has a ground loop fault in the next period according to the state change trend and the environment change trend is as follows:
inputting the state change trend and the environment change trend into a preset data prediction model to obtain a monitoring data prediction value of the next period and an environment data prediction value of the next period;
and inputting the monitoring data predicted value and the environment data predicted value into a preset fault prediction model, and judging whether the cable protective layer has a grounding circular fault in the next period.
Preferably, the monitoring data further comprises position data of the cable;
correspondingly, after judging whether the cable sheath has a grounding circulation fault in the next period, the method further comprises:
if the cable protection layer is judged to have the grounding circular fault in the next period, determining the position of the cable according to the position data, generating alarm information according to the position of the cable, and pushing the alarm information to a worker with the shortest distance to the position of the cable.
Preferably, after determining whether the cable sheath has a ground loop fault in the next period, the method further includes the following steps:
if the cable protection layer is judged to have the grounding circular fault in the next period, the period for acquiring the monitoring data of the cable and the environment data of the position of the cable is shortened until the grounding circular fault is eliminated.
In a second aspect, an embodiment of the present invention provides a cable sheath grounding loop fault prediction apparatus, including:
the data acquisition module is used for periodically acquiring monitoring data of the cable and environment data of the position where the cable is located;
the queue updating module is used for updating a first queue according to the monitoring data and updating a second queue according to the environment data in the current period, wherein the first queue contains the monitoring data obtained in a history way, and the second queue contains the environment data obtained in a history way;
the trend determining module is used for determining the state change trend of the cable based on the updated first queue and determining the environment change trend of the position of the cable based on the updated second queue;
and the fault prediction module is used for judging whether the cable protective layer has a grounding circulation fault in the next period according to the state change trend and the environment change trend.
In a third aspect, an embodiment of the present invention provides an apparatus, including a processor and a memory;
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor is configured to execute a cable sheath ground loop fault prediction method according to the first aspect according to instructions in the computer program.
In a fourth aspect, embodiments of the present invention provide a storage medium storing computer-executable instructions, which when executed by a computer processor, are configured to perform a cable sheath ground loop fault prediction method as described in the first aspect.
In the embodiment of the invention, the monitoring data of the cable and the environmental data of the position of the cable are obtained periodically; in the current period, updating a first queue according to the monitoring data, updating a second queue according to the environment data, wherein the first queue contains the historically acquired monitoring data, and the second queue contains the historically acquired environment data; determining a state change trend of the cable based on the updated first queue, and determining an environment change trend of the position of the cable based on the updated second queue; and predicting the probability of the grounding loop fault of the cable sheath according to the state change trend and the environment change trend. According to the embodiment of the invention, after the monitoring data and the environmental data of the cable in the current period are obtained, the first queue and the second queue are respectively updated, and the updated first queue and the updated second queue contain the historically obtained monitoring data and environmental data, so that when a state change trend and an environmental change trend are generated based on the first queue and the second queue in the follow-up process, the state change trend and the environmental change trend can respectively reflect the change trend of the monitoring data and the environmental data in the last period, and finally, whether the cable sheath has a grounding ring fault in the next period is judged according to the state change trend and the environmental change trend, so that the change trend of the monitoring data and the environmental data in the past period is considered in the process of predicting the grounding ring fault, and the accuracy of predicting the grounding ring fault of the cable sheath is improved.
Drawings
Fig. 1 is a flowchart of a method for predicting a cable jacket grounding loop fault according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of updating a first queue according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a cable sheath grounding loop fault prediction device according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an apparatus according to an embodiment of the present invention.
Detailed Description
The following description and the drawings illustrate specific embodiments of the application sufficiently to enable those skilled in the art to practice them. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in, or substituted for, those of others. The scope of the embodiments of the present application encompasses the full ambit of the claims, as well as all available equivalents of the claims. Embodiments may be referred to herein, individually or collectively, by the term "invention" merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept if more than one is in fact disclosed. Relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed. Various embodiments are described herein in a progressive manner, each embodiment focusing on differences from other embodiments, and identical and similar parts between the various embodiments are sufficient to be seen with each other. The structures, products and the like disclosed in the embodiments correspond to the parts disclosed in the embodiments, so that the description is relatively simple, and the relevant parts refer to the description of the method parts.
Example 1
As shown in fig. 1, fig. 1 is a flowchart of a method for predicting a grounding loop fault of a cable sheath according to an embodiment of the present invention. The cable sheath grounding annular fault prediction method provided by the embodiment of the invention can be executed by the cable sheath grounding annular fault prediction equipment, the cable sheath grounding annular fault prediction equipment can be realized in a software and/or hardware mode, and the cable sheath grounding annular fault prediction equipment can be composed of two or more physical entities or one physical entity. For example, the cable sheath grounding loop fault prediction device can be a computer, an upper computer, a server, a tablet and the like. The method comprises the following steps:
and 101, periodically acquiring monitoring data of the cable and environment data of the position of the cable.
In one embodiment, the operator presets the cable range to be monitored and the length of time for each cycle before acquiring the data. After the setting is completed, when each period comes, the monitoring data of the cable in the monitoring range and the environment data of the position of the cable in the monitoring range are obtained. It will be appreciated that in this embodiment, the time length of the period may be set according to actual needs, and in an exemplary embodiment, the time length of each period is set to 10S, that is, data is acquired every 10S, and in this embodiment, the time length of the period is not specifically set.
On the basis of the embodiment, the monitoring data comprise cable sheath grounding current data, three-phase grounding current data, cable joint temperature data and cable vibration data. The three-phase grounding current data comprise grounding current data of each phase of cable, the temperature data of the cable joint are temperature data of the cable joint, and the vibration data of the cable are amplitude data of vibration of the cable. Because cable sheath ground current data, three-phase ground current data, cable joint temperature data and cable vibration data can reflect to a certain extent that the cable sheath has ground fault, exemplary, the cable sheath satisfies following condition when ground fault has occurred: the cable sheath grounding current is greater than 100A, the ratio of the cable sheath grounding cable to the cable load is greater than 50%, the ratio of the maximum value to the minimum value of the single-phase grounding current is greater than 5, and the cable joint temperature is greater than 70 degrees. According to the cable vibration data, whether the cable is impacted by external force can be judged, when the cable is impacted by larger external force, the cable sheath can appear to lead the cable sheath to have an insulating weak point and be connected with the ground wire, so that the grounding circular fault occurs, and the cable vibration data can reflect the probability of the occurrence of the grounding circular fault of the cable sheath to a certain extent. In this embodiment, by acquiring the monitoring data of the cable sheath, whether the cable sheath has a ground fault can be analyzed on the basis of the monitoring data.
In one embodiment, the monitoring data may be acquired by placing sensors on the cable. The cable sheath grounding current data and the three-phase grounding current data are respectively acquired by arranging a current sensor on the cable. And a temperature sensor is arranged on the cable joint to collect temperature data of the cable joint. And a vibration sensor is arranged on the cable to collect cable vibration data. It can be understood that the manner of acquiring the monitoring data may be set according to actual needs, and in this embodiment, a specific manner of acquiring the monitoring data is not limited.
On the basis of the above embodiment, the environmental data includes temperature data and humidity data.
It should be noted that the humidity and temperature of the environment where the cable is located also have a certain influence on the ground fault of the cable sheath to a certain extent. For example, the surface of the cable sheath is excessively moist, so that the crossed straight connection point is directly communicated with the ground wire, and the two ends of the cable line protective sleeve are connected with the ground wire, so that the ground fault occurs, and the circulation of the cable sheath is increased. And the temperature of the environment in which the cable is located affects to some extent the temperature of the cable joint. Therefore, environmental data of the location where the cable is located is required, so that the influence of the environmental data on the occurrence of the ground loop fault of the cable is considered. In this embodiment, environmental data may be collected by providing a humidity sensor on the cable and a temperature sensor on the cable joint.
Step 102, in the current period, updating the first queue according to the monitoring data, updating the second queue according to the environment data, wherein the first queue contains the monitoring data obtained by history, and the second queue contains the environment data obtained by history.
And respectively updating the first queue and the second queue by using the monitoring data and the environmental data for the monitoring data and the environmental data acquired in the current period. The first queue and the second queue respectively contain monitoring data obtained in a history and environment data obtained in a history. The data acquired in the current period is updated to the queue, so that the queue contains the latest data and the historically acquired data. It should be noted that, in this embodiment, the first queue and the second queue include the same number of storage units, each storage unit is used for storing the monitoring data or the environmental data, and a plurality of storage units are provided.
On the basis of the above embodiment, the first queue and the second queue are both double-ended queues, the first queue includes the monitoring data acquired in the first N periods, and the second queue includes the environmental data acquired in the first N periods.
It should be further noted that the first queue and the second queue are both double-ended queues, i.e. the first queue and the second queue have two ends, and data can be deleted or added in the two ends. In one embodiment, the first queue and the second queue each include N storage units, where data may be deleted or added in the first storage unit or the last storage unit, where the N storage units include data acquired in N periods, and it may be understood that one storage unit includes data acquired in one period, for example, the first queue and the second queue each include 6 storage units, where the 6 storage units of the first queue include monitoring data acquired in the first 6 periods, and the 6 storage units of the second queue include environmental data acquired in the first 6 periods. It is understood that during the first N cycles of the initial detection, the storage unit of the first queue and the N storage units in the second queue are not yet filled with data.
Correspondingly, the first queue is updated according to the monitoring data, and the second queue is updated according to the environment data, which comprises the following specific processes:
adding the monitoring data acquired in the current period to the tail end of the last monitoring data in the first queue, and removing the first monitoring data in the first queue; and adding the environmental data acquired in the current period to the tail end of the last environmental data in the second queue, and removing the first environmental data in the second queue.
In this embodiment, the monitoring data acquired in the current period is added to the end of the last monitoring data in the first queue, and the first monitoring data in the first queue is removed, so that the oldest monitoring data in the first queue is replaced by the latest monitoring data, and the first queue is updated; similarly, the latest environmental data is used in the second queue to replace the oldest environmental data in the second queue, so that the second queue is updated. Because the monitoring data and the environmental data which are too long from the current period time can not show the change trend of the monitoring data and the environmental data in the last period of time in the process of predicting the ground loop fault of the cable in the current period, the first monitoring data and the first environmental data are respectively removed from the first queue and the second queue, so that the monitoring data in the first queue and the environmental data in the second queue are the monitoring data and the environmental data in the last period of time. For example, as shown in fig. 2, in one embodiment, the first queue includes 6 storage units (numbered 1-6), the 6 storage units of the first queue store the monitoring data acquired in the first 6 periods, when the first queue is updated, the monitoring data acquired in the current period is written into a new storage unit (numbered 7), the new storage unit is added to the end of the last storage unit of the first queue, and the first storage unit (numbered 1) of the first queue is deleted, so as to obtain the updated first queue. The update of the second queue may refer to the update process of the first queue, which is not described in detail in this embodiment. It will be appreciated that in the first N cycles of the start detection, since the first queue and the second queue are not yet filled with data, the steps of removing the first monitoring data in the first queue and removing the first environmental data in the second queue are not performed, and the step of deleting is performed after the first queue and the second queue are filled with data. I.e. after the nth cycle, the steps of removing the first monitoring data in the first queue and removing the first environmental data in the second queue are performed.
And step 103, determining the state change trend of the cable based on the updated first queue, and determining the environment change trend of the position of the cable based on the updated second queue.
After the first queue and the second queue are updated, the state change trend of the cable can be determined according to the updated first queue, and the environment change trend of the position of the cable is determined according to the updated second queue. In one embodiment, for the monitoring data, linear fitting is performed according to the cable sheath grounding current data, the three-phase grounding current data, the cable joint temperature data and the cable vibration data in the first queue, so as to generate a cable sheath grounding current change curve, a three-phase grounding current change curve, a cable joint temperature change curve and a cable vibration change curve, namely, a state change trend. Similarly, for the environmental data, a humidity change curve and a temperature change curve, namely an environmental change trend, are generated according to the change of the humidity data and the change of the temperature data in the second queue.
And 104, judging whether the cable protective layer has a grounding annular fault in the next period according to the state change trend and the environment change trend.
After the state change trend and the environment change trend are obtained, whether the grounding loop fault occurs in the next period of the cable sheath can be judged according to the state change trend and the environment change trend. In one embodiment, according to the state change trend and the environmental change trend, determining whether the cable sheath has a ground loop fault in the next period is specifically performed in steps 1041 to 1042, which is specifically:
step 1041, inputting the state change trend and the environmental change trend into a preset data prediction model to obtain a monitored data prediction value of the next period and an environmental data prediction value of the next period.
In this embodiment, the data prediction model is an LSTM neural network, and first, a state change trend and an environmental change trend are input into a trained data prediction model, so as to obtain a monitored data prediction value of a next period and an environmental data prediction value of the next period. Specifically, the training process of the data prediction model is as follows: the method comprises the steps of obtaining historical monitoring data and historical environment data obtained in each period of a cable history, dividing the historical monitoring data into a plurality of first data segments according to a time sequence, dividing the historical environment data into a plurality of second data segments according to the time sequence, wherein the number of the historical monitoring data contained in each first data segment is the same as the number of the monitoring data contained in a first queue, and the number of the historical environment data contained in each second data segment is the same as the number of the environment data contained in a second queue. For example, if the first queue includes 6 pieces of monitoring data, the historical monitoring data is divided into a plurality of first data segments according to the time sequence, each first data segment includes 6 pieces of historical monitoring data, and a historical state change trend is generated according to each first data segment. And then, marking the acquired historical monitoring data corresponding to the next period of the first data segment in each historical state change trend, obtaining a monitoring data training set after marking, and similarly obtaining an environmental data training set in the same way, wherein the details are not repeated in the embodiment. And then, inputting the first data segment of the monitoring data training set and the second data segment of the environment data training set into the data prediction model, judging whether the value output by the data prediction model is identical to the historical monitoring data marked in the first data segment and the historical environment data marked in the second data segment, and determining that the training of the data prediction model is completed when the accuracy of the value output by the data prediction model reaches a set first threshold value, so as to obtain a trained data prediction model.
Step 1042, inputting the monitoring data predicted value and the environmental data predicted value into a preset failure prediction model, and judging whether the cable sheath has a grounding loop failure in the next period.
In one embodiment, the fault prediction model adopts a BP neural network, fault monitoring data and fault environment data when the ground-loop fault occurs in the cable history are obtained, the fault monitoring data and the fault environment data are marked with the ground-loop fault, a training set is obtained after marking is completed, the fault prediction model is trained by using the training set, and when the fault prediction model judges that the accuracy rate of the ground-loop fault reaches a set second threshold value, the fault prediction model is determined to complete training, so that a trained fault prediction model is obtained.
After the monitoring data predicted value and the environment data predicted value output by the data predicted model are obtained, the environment data predicted value and the monitoring data predicted value are input into a trained fault predicted model, and the fault predicted model judges whether the cable sheath has a ground fault in the next period so that a worker can take corresponding measures.
In one embodiment, if it is determined that the cable sheath has a ground loop fault in the next period, an alarm message is sent to the command center, so that the command center can learn that the cable sheath has the ground loop fault.
On the basis of the embodiment, the monitoring data further comprises position data of the cable;
correspondingly, after judging whether the cable protective layer has a grounding circular fault in the next period, the method further comprises the following steps:
if the cable protection layer is judged to have the grounding annular fault in the next period, the position of the cable is determined according to the position data, alarm information is generated according to the position of the cable, and the alarm information is pushed to a worker with the shortest distance from the position of the cable.
In one embodiment, if the fault prediction model determines that the cable sheath has a ground loop fault in the next period, the position data of the cable is extracted from the monitoring data corresponding to the cable, the position of the cable is determined according to the position data of the cable, and then, alarm information is generated according to the position of the cable and sent to a worker with the shortest distance to the position of the cable, so that the worker can know the position of the cable with the ground loop fault of the cable sheath, and repair the cable on site. By sending the alarm information to the worker with the shortest distance from the cable, the worker can go to the site in the shortest time, so that the maintenance efficiency is improved, and the cable sheath grounding loop fault is prevented from further deteriorating.
On the basis of the above embodiment, after judging whether the cable sheath has a ground loop fault in the next period, the method further includes the following steps:
if the cable protection layer is judged to have the grounding circular fault in the next period, the period for acquiring the monitoring data of the cable and the environment data of the position of the cable is shortened until the grounding circular fault is eliminated.
In one embodiment, if the cable protection layer has a ground-loop fault in the next period, the detection should be enhanced in the next period, so as to shorten the period for acquiring the monitoring data of the cable and the environmental data of the position where the cable is located, thereby being capable of more accurately positioning the time when the ground-loop fault occurs, and recovering the period to the period before the ground-loop fault occurs after the ground-loop fault is eliminated. The time length of each period is 10S before the occurrence of the grounding loop fault, that is, the monitoring data of the cable and the environmental data of the position where the cable is located are obtained once every 10S, if the cable protection layer is judged to have the grounding loop fault in the next period, the time length of the period is shortened to 2S, that is, the monitoring data of the cable and the environmental data of the position where the cable is located are obtained once every 2S, so that the detection of the cable is enhanced, the time of the grounding loop fault of the cable protection layer can be more accurately captured, the reason of the grounding loop fault is analyzed by a subsequent worker, and after the grounding loop fault is eliminated, the period is restored to 10S from 2S.
In the embodiment of the invention, after the monitoring data and the environmental data of the cable in the current period are obtained, the first queue and the second queue are updated respectively, and the updated first queue and the updated second queue contain the historically obtained monitoring data and environmental data, so that when the state change trend and the environmental change trend are generated based on the first queue and the second queue subsequently, the state change trend and the environmental change trend can reflect the change trend of the monitoring data and the environmental data in the last period respectively, and finally, whether the cable sheath has a grounding ring fault in the next period is judged according to the state change trend and the environmental change trend, thereby, the change trend of the monitoring data and the environmental data in the last period is considered when the grounding ring fault is predicted, and the accuracy of predicting the grounding ring fault of the cable sheath is improved.
Example two
As shown in fig. 3, fig. 3 provides a cable sheath grounding loop fault prediction device according to an embodiment of the present invention, including:
the data acquisition module 201 is configured to periodically acquire monitoring data of the cable and environmental data of a location where the cable is located;
the queue updating module 202 is configured to update a first queue according to the monitoring data and update a second queue according to the environmental data in the current period, where the first queue includes the monitoring data obtained by history, and the second queue includes the environmental data obtained by history;
the trend determining module 203 determines a state change trend of the cable based on the updated first queue, and determines an environment change trend of the position of the cable based on the updated second queue;
the fault prediction module 204 is configured to determine whether a ground loop fault occurs in the cable jacket in a next period according to the status change trend and the environmental change trend.
On the basis of the embodiment, the monitoring data comprise cable sheath grounding current data, three-phase grounding current data, cable joint temperature data and cable vibration data.
On the basis of the above embodiment, the environmental data includes temperature data and humidity data.
On the basis of the embodiment, the first queue and the second queue are both double-ended queues, the first queue contains monitoring data acquired in the first N periods, and the second queue contains environment data acquired in the first N periods;
correspondingly, the queue updating module 202 is configured to update the first queue according to the monitoring data, and update the second queue according to the environmental data specifically includes:
the method comprises the steps of adding monitoring data acquired in a current period to the tail end of last monitoring data in a first queue, and removing first monitoring data in the first queue; and adding the environmental data acquired in the current period to the tail end of the last environmental data in the second queue, and removing the first environmental data in the second queue.
Based on the above embodiment, the fault prediction module 204 is configured to determine, according to the state change trend and the environmental change trend, whether the cable sheath has a ground loop fault in the next period, which is specifically:
the method comprises the steps of inputting a state change trend and an environment change trend into a preset data prediction model to obtain a monitoring data prediction value of the next period and an environment data prediction value of the next period;
and inputting the predicted value of the monitoring data and the predicted value of the environmental data into a preset fault prediction model, and judging whether the cable sheath has a grounding circular fault in the next period.
On the basis of the embodiment, the monitoring data further comprises position data of the cable;
correspondingly, the system also comprises an alarm information generating module which is used for determining the position of the cable according to the position data if the cable sheath is judged to have the ground loop fault in the next period, generating alarm information according to the position of the cable and pushing the alarm information to the staff with the shortest distance with the position of the cable.
On the basis of the above embodiment, the device further includes a period adjustment module, configured to shorten a period for acquiring the monitoring data of the cable and the environmental data of the location of the cable, until the ground loop fault is eliminated, if it is determined that the ground loop fault occurs in the cable jacket in the next period.
Example III
The present embodiment also provides an apparatus, as shown in fig. 4, an apparatus 30, the apparatus comprising a processor 300 and a memory 301;
the memory 301 is used for storing the computer program 302 and transmitting the computer program 302 to the processor;
the processor 300 is configured to perform the steps of one embodiment of the cable sheath ground loop fault prediction method described above according to instructions in the computer program 302.
By way of example, the computer program 302 may be partitioned into one or more modules/units, which are stored in the memory 301 and executed by the processor 300 to complete the present application. One or more of the modules/units may be a series of computer program instruction segments capable of performing particular functions to describe the execution of the computer program 302 in the device 30.
The device 30 may be a computing device such as a desktop computer, a notebook computer, a palm top computer, and a cloud server. Devices may include, but are not limited to, processor 300, memory 301. It will be appreciated by those skilled in the art that fig. 4 is merely an example of device 30 and is not intended to limit device 30, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., a device may also include an input-output device, a network access device, a bus, etc.
The processor 300 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 301 may be an internal storage unit of the device 30, such as a hard disk or a memory of the device 30. The memory 301 may also be an external storage device of the device 30, such as a plug-in hard disk provided on the device 30, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like. Further, the memory 301 may also include both internal storage units of the device 30 and external storage devices. The memory 301 is used to store computer programs and other programs and data required by the device. The memory 301 may also be used to temporarily store data that has been output or is to be output.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media in which computer programs can be stored.
Example IV
The embodiment of the invention also provides a storage medium containing computer executable instructions, which when executed by a computer processor, are used for executing a cable sheath grounding loop fault prediction method, the method comprises the following steps:
periodically acquiring monitoring data of the cable and environment data of the position of the cable;
in the current period, updating a first queue according to the monitoring data, updating a second queue according to the environment data, wherein the first queue contains the historically acquired monitoring data, and the second queue contains the historically acquired environment data;
determining a state change trend of the cable based on the updated first queue, and determining an environment change trend of the position of the cable based on the updated second queue;
judging whether the cable protective layer has a grounding circular fault in the next period according to the state change trend and the environment change trend.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the embodiments of the present invention are not limited to the particular embodiments described herein, but are capable of numerous obvious changes, rearrangements and substitutions without departing from the scope of the embodiments of the present invention. Therefore, while the embodiments of the present invention have been described in connection with the above embodiments, the embodiments of the present invention are not limited to the above embodiments, but may include many other equivalent embodiments without departing from the spirit of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (7)
1. The cable sheath grounding annular fault prediction method is characterized by comprising the following steps of:
periodically acquiring monitoring data of a cable and environmental data of a position where the cable is located, wherein the monitoring data comprise cable sheath grounding current data, three-phase grounding current data, cable joint temperature data and cable vibration data;
in the current period, updating a first queue according to the monitoring data, updating a second queue according to the environment data, wherein the first queue contains historically acquired monitoring data, the second queue contains historically acquired environment data, the first queue contains monitoring data acquired in the first N periods, the second queue contains environment data acquired in the first N periods, and the number of the monitoring data contained in the first queue is the same as the number of the environment data contained in the second queue;
determining a state change trend of the cable based on the updated first queue, and determining an environment change trend of the cable position based on the updated second queue;
judging whether the cable protective layer has a grounding annular fault in the next period according to the state change trend and the environment change trend, wherein the method comprises the following steps: inputting the state change trend and the environment change trend into a preset data prediction model to obtain a monitoring data prediction value of the next period and an environment data prediction value of the next period, inputting the monitoring data prediction value and the environment data prediction value into a preset fault prediction model, and judging whether a grounding loop fault occurs in the cable sheath in the next period;
and if the cable protection layer is judged to have a grounding circular fault in the next period, determining the position of the cable according to the position data, generating alarm information according to the position of the cable, and pushing the alarm information to a worker with the shortest distance to the position of the cable.
2. The method of claim 1, wherein the environmental data comprises temperature data and humidity data.
3. The method for predicting a cable sheath ground loop fault according to claim 2, wherein the first queue and the second queue are both double-ended queues;
correspondingly, the specific process of updating the first queue according to the monitoring data and updating the second queue according to the environmental data is as follows:
adding the monitoring data acquired in the current period to the tail end of the last monitoring data of the first queue, and removing the first monitoring data in the first queue; and adding the environmental data acquired in the current period to the tail end of the last environmental data in the second queue, and removing the first environmental data in the second queue.
4. The method for predicting a ground-loop fault of a cable sheath according to claim 1, wherein the step of determining whether the cable sheath has a ground-loop fault in a next cycle further comprises the steps of:
if the cable protection layer is judged to have the grounding circular fault in the next period, the period for acquiring the monitoring data of the cable and the environment data of the position of the cable is shortened until the grounding circular fault is eliminated.
5. The utility model provides a cable sheath ground ring circulation trouble prediction unit which characterized in that includes:
the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for periodically acquiring monitoring data of a cable and environment data of a position where the cable is located, the monitoring data comprise cable sheath grounding current data, three-phase grounding current data, cable joint temperature data and cable vibration data, and the monitoring data also comprise position data of the cable;
the queue updating module is used for updating a first queue according to the monitoring data in the current period and updating a second queue according to the environment data, wherein the first queue comprises the historically acquired monitoring data, the second queue comprises the historically acquired environment data, the first queue comprises the monitoring data acquired in the previous N periods, the second queue comprises the environment data acquired in the previous N periods, and the quantity of the monitoring data contained in the first queue is the same as the quantity of the environment data contained in the second queue;
the trend determining module is used for determining the state change trend of the cable based on the updated first queue and determining the environment change trend of the position of the cable based on the updated second queue;
the fault prediction module is used for judging whether the cable sheath has a grounding circular fault in the next period according to the state change trend and the environment change trend, and particularly used for inputting the state change trend and the environment change trend into a preset data prediction model to obtain a monitoring data prediction value of the next period and an environment data prediction value of the next period, inputting the monitoring data prediction value and the environment data prediction value into the preset fault prediction model, and judging whether the cable sheath has the grounding circular fault in the next period;
and the alarm information generation module is used for determining the position of the cable according to the position data if the cable sheath is judged to have the ground loop fault in the next period, generating alarm information according to the position of the cable, and pushing the alarm information to the staff with the shortest distance from the position of the cable.
6. An apparatus comprising a processor and a memory;
the memory is used for storing a computer program and transmitting the computer program to the processor;
the processor is configured to execute a cable sheath ground loop fault prediction method according to instructions in the computer program.
7. A storage medium storing computer executable instructions which, when executed by a computer processor, are adapted to perform a cable sheath ground loop fault prediction method as claimed in any one of claims 1 to 4.
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