CN114519267A - Data updating method of underground cable model - Google Patents
Data updating method of underground cable model Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/16—Cables, cable trees or wire harnesses
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention provides a data updating method of an underground cable model. The method comprises the following steps: acquiring a data value set of a target cable; calculating the distance value between the data value of the electricity consumption data at each moment and a first preset data value to obtain M first distance values; calculating the distance value between the data value of the electricity consumption data at each moment and a second preset data value to obtain M second distance values; and judging whether the data value set is effective according to the M first distance values and the M second distance values, and updating data of the underground cable model of the target cable by using the data value set when the data value set is judged to be effective. The method and the device can improve the reliability of the underground cable model data.
Description
Technical Field
The invention relates to the technical field of underground cable models, in particular to a data updating method of an underground cable model.
Background
Along with the wider and wider range of underground cable laying, in order to improve the monitoring efficiency of underground cable, can be through carrying out three-dimensional modeling to underground cable, the state of real-time supervision underground cable guarantees to use the electricity reliable.
After a cable three-dimensional model is established, most of the prior art directly acquire relevant data of the cable, and update the model in real time according to the acquired data. However, due to the influence of the environment and the error of the acquisition device, the acquired cable data may be invalid data, and the direct updating of the model of the cable according to the acquired data is not accurate enough.
Disclosure of Invention
The embodiment of the invention provides a data updating method of an underground cable model, which aims to solve the problems that the environment and acquisition equipment have error influence, the acquired cable data may be invalid data, and the model of the cable is not accurate enough to be directly updated according to the acquired data.
In a first aspect, the present invention provides a data updating method for an underground cable model, including:
acquiring a data value set of a target cable; the data value set comprises data values of the electricity utilization data of the target cable at M moments;
calculating the distance value between the data value of the electricity consumption data at each moment and a first preset data value to obtain M first distance values; the first preset data value is determined according to the data value of the electricity utilization data of the target cable in a normal state;
calculating the distance value between the data value of the electricity consumption data at each moment and a second preset data value to obtain M second distance values; the first preset data value is determined according to the data value of the power utilization data of the target cable in the abnormal state;
and judging whether the data value set is effective according to the M first distance values and the M second distance values, and updating data of the underground cable model of the target cable by using the data value set when the data value set is judged to be effective.
In one possible implementation, the determining whether the data value set is valid according to the M first distance values and the M second distance values includes:
calculating the sum of the first distance value and the second distance value at the same moment to obtain M distance sums;
and comparing the M distance sums with a preset distance sum to judge whether the data value set is valid.
In one possible implementation, comparing the M distance sums with a preset distance sum to determine whether the data value set is valid includes:
comparing each distance sum with a preset distance sum, and if the distance sum is greater than the preset distance sum, judging that the distance sum is invalid; if the sum of the distances is not greater than the preset sum of the distances, judging that the sum of the distances is valid;
if the number of the invalid distance sums is larger than the preset number, judging that the data value set is invalid;
and if the number of the invalid distance sums is not more than the preset number, judging that the data value set is valid.
In one possible implementation, after comparing each distance sum with a preset distance sum, the method further includes:
and if the distance sum is judged to be invalid, sending a first alarm signal.
In a possible implementation manner, calculating a distance value between a data value of the electricity consumption data and a first preset data value at each time to obtain M first distance values includes:
and calculating the distance value between the data value of the electricity consumption data and the first preset data value at each moment by using a clustering method and taking the first preset data value as a clustering center to obtain M first distance values.
In a possible implementation manner, calculating a distance value between a data value of the electricity consumption data at each time and a second preset data value to obtain M second distance values includes:
and calculating the distance value between the data value of the electricity consumption data and the second preset data value at each moment by using a clustering method and taking the second preset data value as a clustering center to obtain M second distance values.
In one possible implementation, after determining whether the data value set is valid according to the M first distance values and the M second distance values, the method further includes:
and issuing a second alarm signal when the data value set is judged to be invalid.
In a second aspect, the present invention provides a data updating apparatus for an underground cable model, including:
the acquisition module is used for acquiring a data value set of the target cable; the data value set comprises data values of the electricity utilization data of the target cable at M moments;
the first calculation module is used for calculating the distance value between the data value of the electricity consumption data and a first preset data value at each moment to obtain M first distance values; the first preset data value is determined according to the data value of the power utilization data of the target cable in a normal state;
the second calculation module is used for calculating the distance value between the data value of the electricity consumption data at each moment and a second preset data value to obtain M second distance values; the first preset data value is determined according to the data value of the power utilization data of the target cable in the abnormal state;
and the judging module is used for judging whether the data value set is effective according to the M first distance values and the M second distance values, and updating the data of the underground cable model of the target cable by using the data value set when the data value set is judged to be effective.
In a third aspect, the present invention provides an electronic device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the data updating method for the underground cable model according to the first aspect or any one of the possible implementations of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for updating data of a subsurface cable model as described above in the first aspect or in any one of the possible implementations of the first aspect.
The embodiment of the invention provides a data updating method of an underground cable model, which comprises the steps of obtaining a data value set of a target cable; and calculating the distance value between the data value of the power consumption data at each moment and the first preset data value to obtain M first distance values, and calculating the distance value between the data value of the power consumption data at each moment and the second preset data value to obtain M second distance values. Whether the data value sets are effective or not is judged according to the M first distance values and the M second distance values, and the invalid data value sets can be eliminated so as to ensure the reliability of data updating of the underground cable model, further ensure the reliability of work of the underground cable and improve the stability of work of a power grid.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart of an implementation of a data update method for a model of an underground cable according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a data updating apparatus for an underground cable model according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an electronic device provided in an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
Referring to fig. 1, it shows a flowchart of an implementation of a data updating method for an underground cable model according to an embodiment of the present invention. As shown in fig. 1, a data updating method of an underground cable model may include:
s101, acquiring a data value set of a target cable; the data value set includes data values of the power consumption data of the target cable at M time instants.
Optionally, the target cable is a cable for which an underground cable model has been built. The data value set may include data values of power usage data for the target cable at M time instants. The electricity utilization data can be voltage, current or other data which can be updated in the underground cable model of the target cable, and can be determined according to the underground cable model of the target cable.
S102, calculating the distance value between the data value of the electricity consumption data at each moment and a first preset data value to obtain M first distance values; the first preset data value is determined according to the data value of the electricity utilization data of the target cable in the normal state.
Alternatively, the first preset data value may be a data value representative of the power consumption data of the target cable in a normal state, and may be an average value, for example. The first distance value may be calculated by clustering.
Specifically, for the electricity consumption data at each moment, a distance value between a data value of the electricity consumption data and a first preset data value is calculated and marked as a first distance value, and the first distance value represents a distance relationship between the electricity consumption data and the first preset data value, that is, whether the electricity consumption data is normal or not can be judged through the first distance value.
S103, calculating the distance value between the data value of the electricity consumption data at each moment and a second preset data value to obtain M second distance values; the first preset data value is determined according to the data value of the electricity utilization data of the target cable in the abnormal state.
Optionally, the second preset data value may be a data value representative of the power consumption data of the target cable in the abnormal state, and may be, for example, an average value. The second distance value may be calculated by the same clustering method as the first distance value.
Specifically, for the electricity consumption data at each moment, a distance value between a data value of the electricity consumption data and a second preset data value is calculated and marked as a second distance value, and the second distance value represents a distance relationship between the electricity consumption data and the second preset data value, that is, whether the electricity consumption data is abnormal or not can be judged through the second distance value.
And S104, judging whether the data value set is valid according to the M first distance values and the M second distance values, and updating data of the underground cable model of the target cable by using the data value set when the data value set is judged to be valid.
Optionally, the cable generally includes a normal state or an abnormal state, and both the electricity consumption data in the normal state and the electricity consumption data in the abnormal state may be used to update the underground cable model, so as to ensure that the model can reflect the state of the cable in real time.
When the electricity utilization data do not belong to the electricity utilization data in the normal state or the electricity utilization data in the abnormal state, the electricity utilization data are invalid, namely the electricity utilization data cannot reflect the state of the underground cable model and need to be removed, so that the effectiveness of the underground cable model is ensured.
Alternatively, whether the data value set is valid may be determined by the first distance value and the second distance value of each power consumption data. For example, if the electricity consumption data in the data value set is invalid data, that is, the data value set may be determined to be invalid, or if the number of the electricity consumption data in the data value set that is invalid data is greater than a certain number, the data value set may be determined to be invalid, which may be specifically set according to an actual situation.
When the set of data values is determined to be valid, the data update may be performed on the underground cable model using the set of data values. When the data value set is judged to be invalid, the power utilization data of the target cable can be collected again to be judged and updated.
According to the embodiment of the invention, the distance value between the data value of each power utilization data in the data value set and the first preset data value and the distance value between the data value of each power utilization data and the second preset data value are calculated, and whether the data value set is effective or not is judged according to the first distance value and the second distance value. And the corresponding underground cable model is updated by using the effective data value set, so that the updating accuracy and reliability of the underground cable model can be improved. Meanwhile, the invalid data value set can indicate that the acquisition equipment has problems to a certain extent, and the acquisition equipment with the problems can be maintained or replaced in time, so that the working reliability of the acquisition equipment can be improved by judging whether the data value set is valid or not.
In some embodiments of the present invention, the "determining whether the data value set is valid according to the M first distance values and the M second distance values" in S104 may include: calculating the sum of the first distance value and the second distance value at the same moment to obtain M distance sums; and comparing the M distance sums with a preset distance sum to judge whether the data value set is valid.
Optionally, the sum of the first distance value and the second distance value at the same time is calculated, and M distance sums can be obtained. For each time, the time distance sum may indicate whether the power consumption data at that time is valid. And judging whether the data value set is effective or not by judging whether the power utilization data at each moment is effective or not.
Optionally, the preset distance sum may be set according to an actual situation, and for example, may be: and the sum of the maximum distance value between the data value of the normal electricity utilization data and the first preset data value and the maximum distance value between the data value of the abnormal electricity utilization data and the second preset data value.
In some embodiments of the present invention, comparing the M distance sums with a preset distance sum to determine whether the data value set is valid comprises: comparing each distance sum with a preset distance sum, and if the distance sum is greater than the preset distance sum, judging that the distance sum is invalid; if the sum of the distances is not greater than the preset sum of the distances, judging that the sum of the distances is valid; if the number of the invalid distance sums is larger than the preset number, judging that the data value set is invalid; and if the number of the invalid distance sums is not more than the preset number, judging that the data value set is valid.
Optionally, each distance sum is compared with a preset distance sum, the power consumption data with the distance sum being greater than the preset distance sum is invalid data, the power consumption data does not belong to normal power consumption data or abnormal power consumption data, and the power consumption data cannot be used for updating the underground cable model of the target cable. When invalid electricity consumption data are judged, the collection equipment for collecting the electricity consumption data can be detected, and whether the collection equipment has problems or not is judged, so that the collection equipment can be maintained or replaced in time, and the working stability of the collection equipment is ensured.
The distance sum is not more than the preset distance sum, namely the electricity utilization data is effective data, the electricity utilization data belongs to normal electricity utilization data or abnormal electricity utilization data, the state of the target cable is truly reflected, and the underground cable model of the target cable can be updated.
In some embodiments of the invention, after comparing each distance sum to a preset distance sum, the method further comprises: and if the distance sum is judged to be invalid, sending a first alarm signal.
Optionally, after the distance and the electricity consumption data are determined to be invalid, a first warning signal is sent to prompt that the distance and the corresponding electricity consumption data are invalid, and the electricity consumption data can be recorded to construct an invalid electricity consumption database. And whether the electricity utilization data are invalid can be judged through an invalid electricity utilization database.
In some embodiments of the present invention, the step of calculating the distance value between the data value of the electricity consumption data and the first preset data value at each time to obtain M first distance values in S102 may include: and calculating the distance value between the data value of the electricity consumption data and the first preset data value at each moment by using a clustering method and taking the first preset data value as a clustering center to obtain M first distance values.
The step of calculating the distance value between the data value of the electricity consumption data at each time and the second preset data value to obtain M second distance values in S103 may include: and calculating the distance value between the data value of the electricity consumption data and the second preset data value at each moment by using a clustering method and taking the second preset data value as a clustering center to obtain M second distance values.
Optionally, the first distance value or the second distance value of the electricity consumption data at each moment may be calculated by using the first preset data value or the second preset data value as a clustering center through a clustering method. For example, by systematic clustering or k-means clustering.
In some embodiments of the invention, after determining whether the set of data values is valid based on the M first distance values and the M second distance values, the method further comprises: and issuing a second alarm signal when the data value set is judged to be invalid.
Optionally, when the data value set is determined to be invalid, a second alarm signal may be issued to record the data value set for prompting that the data value set is invalid.
According to the embodiment of the invention, the data value set of the target cable is judged, and the underground cable model is updated according to the effective data value set, so that the reliability of data updating of the underground cable model can be improved, the authenticity of the underground cable data acquired through the model is ensured, the working stability of the underground cable can be improved, and the stable operation of a power grid is ensured.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 2 is a schematic structural diagram of a data updating apparatus for an underground cable model according to an embodiment of the present invention, and for convenience of explanation, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:
as shown in fig. 2, the data updating apparatus 20 of the underground cable model may include: the device comprises an acquisition module 201, a first calculation module 202, a second calculation module 203 and a judgment module 204.
The obtaining module 201 is configured to obtain a data value set of a target cable; the data value set includes data values of the power consumption data of the target cable at M time instants. The first calculating module 202 is configured to calculate distance values between the data values of the power consumption data at each time and a first preset data value to obtain M first distance values; the first preset data value is determined according to the data value of the electricity utilization data of the target cable in the normal state. The second calculating module 203 is configured to calculate distance values between the data values of the power consumption data at each time and a second preset data value to obtain M second distance values; the first preset data value is determined according to the data value of the electricity utilization data of the target cable in the abnormal state. The judging module 204 is configured to judge whether the data value set is valid according to the M first distance values and the M second distance values, and when the data value set is judged to be valid, perform data update on the underground cable model of the target cable by using the data value set.
In some embodiments of the invention, the determining module 204 may include: a calculating unit and a judging unit.
The calculating unit is used for calculating the sum of the first distance value and the second distance value at the same moment to obtain M distance sums. And the judging unit is used for comparing the M distance sums with a preset distance sum and judging whether the data value set is valid or not.
In some embodiments of the present invention, the first determining unit is further configured to compare each distance sum with a preset distance sum, and if the distance sum is greater than the preset distance sum, determine that the distance sum is invalid; if the sum of the distances is not greater than the preset sum of the distances, judging that the sum of the distances is valid; if the number of the invalid distance sums is larger than the preset number, judging that the data value set is invalid; and if the number of the invalid distance sums is not more than the preset number, judging that the data value set is valid.
In some embodiments of the present invention, the apparatus 20 may further comprise: and the first alarm module is used for sending out a first alarm signal if the distance sum is judged to be invalid after each distance sum is compared with a preset distance sum.
In some embodiments of the present invention, the first calculating module 202 may further be configured to calculate, by using a clustering method and taking the first preset data value as a clustering center, a distance value between the data value of the electricity consumption data and the first preset data value at each time to obtain M first distance values.
In some embodiments of the present invention, the second calculating module 203 may be further configured to calculate, by using a clustering method and using the second preset data value as a clustering center, a distance value between the data value of the electricity consumption data and the second preset data value at each time to obtain M second distance values.
In some embodiments of the present invention, the apparatus 20 may further include: and the second alarm module is used for sending out a second alarm signal when judging whether the data value set is invalid or not after judging whether the data value set is valid according to the M first distance values and the M second distance values.
Fig. 3 is a schematic diagram of an electronic device provided in an embodiment of the present invention. As shown in fig. 3, the electronic apparatus 30 of this embodiment includes: a processor 300, a memory 301, and a computer program 302 stored in the memory 301 and executable on the processor 300. The processor 300, when executing the computer program 302, implements the steps in the above-described data updating method embodiments of the respective underground cable models, e.g., S101 to S104 shown in fig. 1. Alternatively, the processor 300, when executing the computer program 302, implements the functions of the modules/units in the above-described device embodiments, such as the modules/units 201 to 204 shown in fig. 2.
Illustratively, 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 implement the present invention. One or more modules/units may be a series of computer program instruction segments capable of performing certain functions, the instruction segments being used to describe the execution of the computer program 302 in the electronic device 30. For example, the computer program 302 may be divided into the modules/units 201 to 204 shown in fig. 2.
The electronic device 30 may be a desktop computer, a notebook, a palm top computer, a cloud server, or other computing devices. The electronic device 30 may include, but is not limited to, a processor 300, a memory 301. Those skilled in the art will appreciate that fig. 3 is merely an example of the electronic device 30, and does not constitute a limitation of the electronic device 30, and may include more or fewer components than shown, or combine certain components, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 300 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 301 may be an internal storage unit of the electronic device 30, such as a hard disk or a memory of the electronic device 30. The memory 301 may also be an external storage device of the electronic device 30, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device 30. Further, the memory 301 may also include both an internal storage unit and an external storage device of the electronic device 30. The memory 301 is used to store computer programs and other programs and data required by the electronic device. The memory 301 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. 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 invention, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, a module or a unit may be divided into only one logic function, and may be implemented in other ways, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the method according to the embodiments of the present invention may be implemented by a computer program, which is stored in a computer readable storage medium and used for instructing related hardware, and when the computer program is executed by a processor, the computer program may implement the steps of the embodiments of the data updating method for the underground cable model. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may include any suitable increase or decrease as required by legislation and patent practice in the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A data updating method of an underground cable model is characterized by comprising the following steps:
acquiring a data value set of a target cable; the data value set comprises data values of the electricity utilization data of the target cable at M moments; calculating the distance value between the data value of the power consumption data and a first preset data value at each moment to obtain M first distance values; the first preset data value is determined according to the data value of the power consumption data of the target cable in a normal state; calculating the distance value between the data value of the power consumption data and a second preset data value at each moment to obtain M second distance values; the first preset data value is determined according to the data value of the power utilization data of the target cable in the abnormal state;
and judging whether the data value set is valid according to the M first distance values and the M second distance values, and when the data value set is judged to be valid, updating data of the underground cable model of the target cable by using the data value set.
2. A method for updating data of a subterranean cable model according to claim 1, wherein said determining whether the set of data values is valid according to the M first distance values and the M second distance values comprises:
calculating the sum of the first distance value and the second distance value at the same moment to obtain M distance sums;
and comparing the M distance sums with a preset distance sum to judge whether the data value set is valid.
3. A method for updating data of a subterranean cable model according to claim 2, wherein said comparing M distance sums with a preset distance sum to determine whether said set of data values is valid comprises:
comparing each distance sum with the preset distance sum, and if the distance sum is larger than the preset distance sum, judging that the distance sum is invalid; if the sum of the distances is not larger than the preset sum of the distances, judging that the sum of the distances is valid;
if the number of the invalid distance sums is larger than the preset number, judging that the data value set is invalid;
and if the number of invalid distance sums is not greater than the preset number, judging that the data value set is valid.
4. A method of data updating of a subterranean cable model according to claim 3, wherein after said comparing each distance sum to the preset distance sum, the method further comprises:
and if the distance sum is judged to be invalid, sending a first alarm signal.
5. The method for updating data of an underground cable model according to claim 1, wherein the calculating the distance value between the data value of the power consumption data and a first preset data value at each time to obtain M first distance values comprises:
and calculating the distance value between the data value of the power consumption data and the first preset data value at each moment by using a clustering method and taking the first preset data value as a clustering center to obtain M first distance values.
6. The method for updating data of an underground cable model according to claim 1, wherein the calculating the distance value between the data value of the power consumption data and a second preset data value at each moment to obtain M second distance values comprises:
and calculating the distance value between the data value of the power consumption data and the second preset data value at each moment by using a clustering method and taking the second preset data value as a clustering center to obtain M second distance values.
7. A method of data updating of a subterranean cable model according to any of claims 1 to 6, wherein after said determining whether the set of data values is valid from the M first distance values and the M second distance values, the method further comprises:
and when the data value set is judged to be invalid, sending out a second alarm signal.
8. An apparatus for updating data of a model of an underground cable, comprising:
the acquisition module is used for acquiring a data value set of the target cable; the data value set comprises data values of the electricity utilization data of the target cable at M moments;
the first calculation module is used for calculating the distance value between the data value of the power consumption data and a first preset data value at each moment to obtain M first distance values; the first preset data value is determined according to the data value of the power consumption data of the target cable in a normal state;
the second calculation module is used for calculating the distance value between the data value of the power consumption data and a second preset data value at each moment to obtain M second distance values; the first preset data value is determined according to the data value of the power utilization data of the target cable in the abnormal state;
and the judging module is used for judging whether the data value set is valid according to the M first distance values and the M second distance values, and when the data value set is judged to be valid, updating data of the underground cable model of the target cable by using the data value set.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the data updating method of the underground cable model according to any one of the preceding claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the data updating method of the underground cable model according to any one of claims 1 to 7 above.
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| CN117008056B (en) * | 2023-10-07 | 2024-01-12 | 国网浙江省电力有限公司宁波供电公司 | Method for determining target sound source based on MEMS |
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