CN112734245B - Low-voltage power distribution loop monitoring method, device and equipment - Google Patents

Low-voltage power distribution loop monitoring method, device and equipment Download PDF

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CN112734245B
CN112734245B CN202110048321.9A CN202110048321A CN112734245B CN 112734245 B CN112734245 B CN 112734245B CN 202110048321 A CN202110048321 A CN 202110048321A CN 112734245 B CN112734245 B CN 112734245B
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distribution loop
data
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CN112734245A (en
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于洋
刘典安
江克宜
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Shenzhen Electric Energy Technology Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The application belongs to the field of power consumption monitoring, and provides a low-voltage power distribution loop monitoring method, a low-voltage power distribution loop monitoring device and low-voltage power distribution loop monitoring equipment, wherein the method comprises the following steps: acquiring original data corresponding to a plurality of time periods of a low-voltage distribution loop; calculating the score of the corresponding evaluation index according to the original data of a plurality of time intervals; determining the evaluation index trend of the low-voltage distribution loop according to the evaluation index score; and determining the reminding of the weak indexes of the low-voltage distribution loop according to the variation speed of the trends of the plurality of evaluation indexes. Thereby the staff of being convenient for can overhaul and adjust low voltage distribution circuit in advance according to the warning of weak index, in time discovers unusual equipment to make and to reduce equipment damage, reduce the cost in business, promote enterprise competitiveness.

Description

Low-voltage power distribution loop monitoring method, device and equipment
Technical Field
The application belongs to the field of power consumption monitoring, and particularly relates to a low-voltage power distribution loop monitoring method, device and equipment.
Background
The low-voltage distribution circuit refers to a power utilization circuit mainly aiming at a user side. The current power consumption monitoring scheme in the low-voltage power distribution loop mainly aims at the functions of storing, counting and reporting electric energy and electric charge information in the power consumption link of an enterprise, and the data function of power consumption monitoring data is not fully exerted.
In addition, the enterprise power utilization management aims at 380V and 220V alternating current low-voltage distribution circuits, and related devices are various in types and different in models. The low-voltage distribution loop has no obvious fixed characteristics and has a great difference from a management scheme of a power grid company for the power transmission and transformation equipment and the high-voltage distribution equipment. When monitoring of a low-voltage distribution circuit is carried out through a management scheme of a power grid company, the health condition of equipment cannot be known timely, equipment faults cannot be eliminated timely before the faults occur, equipment damage is reduced, enterprise generation cannot be effectively reduced, and enterprise competitiveness is improved.
Disclosure of Invention
In view of this, embodiments of the present application provide a method, an apparatus, and a device for monitoring a low-voltage power distribution loop, so as to solve the problems that, during monitoring of a low-voltage power distribution loop in the prior art, the health condition of a device cannot be known in time, a device failure cannot be queued in time before a failure occurs, and device damage is reduced.
A first aspect of an embodiment of the present application provides a low-voltage distribution loop monitoring method, where the method includes:
acquiring original data corresponding to a plurality of time periods of a low-voltage distribution loop;
calculating the score of the corresponding evaluation index according to the original data of a plurality of time intervals;
determining the evaluation index trend of the low-voltage distribution loop according to the evaluation index score;
and determining the reminding of the weak indexes of the low-voltage distribution loop according to the variation speed of the trends of the plurality of evaluation indexes.
With reference to the first aspect, in a first possible implementation manner of the first aspect, the method further includes:
obtaining evaluation indexes corresponding to a plurality of low-voltage power distribution loops in the current time period;
and determining the reminding of the weak power distribution loop according to the comparison result of the evaluation indexes corresponding to the current time period.
With reference to the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the calculating a score of the corresponding evaluation index according to the raw data includes:
generating a plurality of intermediate index data according to the original data;
determining scores of the plurality of intermediate index data according to a threshold range corresponding to preset intermediate index data;
and performing weighted calculation according to the intermediate index data to obtain the score of the evaluation index corresponding to the low-voltage distribution loop.
With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, determining scores of the plurality of intermediate indicator data according to a threshold range corresponding to preset intermediate indicator data includes:
when the intermediate index data belongs to a predetermined threshold range, according to a formula:
Figure BDA0002898078680000021
determining a score for the intermediate metric data, wherein siAs a score of the i-th intermediate index data, dmaxIs the maximum value of the threshold range, dminIs the minimum value of the threshold range, diThe numerical value of the ith intermediate index data;
and when the intermediate index data does not belong to a preset threshold range, determining the score of the intermediate index data according to the optimization direction of the intermediate index data.
With reference to the second possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, performing a weighted calculation according to the intermediate indicator data to obtain a score of an evaluation indicator corresponding to the low-voltage distribution loop includes:
according to the formula
Figure BDA0002898078680000031
Calculating the score of the evaluation index corresponding to the low-voltage distribution loop, wherein ejIs the score of the j-th evaluation index, siIs the score of the i-th intermediate index data, aijAnd calculating a weighted average coefficient when the j evaluation index is calculated for the ith intermediate index, wherein n is the number of the intermediate indexes.
With reference to the second possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, after the generating of the time interval weak reminder of the power distribution circuit, the method further includes:
adjusting the low-voltage distribution loop according to adjustment information input by a user;
and updating and calculating the weighted average coefficient of the score of the evaluation index according to the adjusted original data of the low-voltage distribution loop.
With reference to the fifth possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the updating, according to the adjusted raw data of the low-voltage distribution loop, a weighted average coefficient for calculating a score of the evaluation index includes:
according to the formula:
Figure BDA0002898078680000032
updating a weighted average coefficient for calculating a score of the evaluation index, wherein: a isijCalculating weighted average coefficient of j evaluation index for i intermediate index before updating, anewijCalculating weighted average coefficient p of j evaluation index for updated i intermediate indexiIs the actual percentage improvement of the i-th intermediate index, and
Figure BDA0002898078680000033
peiis the desired percentage improvement, s, of the i-th intermediate indexnewiScore for improved i-th intermediate index, siThe score of the i-th intermediate index before improvement.
A second aspect of embodiments of the present application provides a low voltage power distribution loop monitoring apparatus, the apparatus comprising:
the device comprises an original data acquisition unit, a data processing unit and a data processing unit, wherein the original data acquisition unit is used for acquiring original data corresponding to a plurality of time periods of a low-voltage distribution loop;
the evaluation index calculation unit is used for calculating the scores of the corresponding evaluation indexes according to the original data of a plurality of time intervals;
the index trend determining unit is used for determining the evaluation index trend of the low-voltage distribution loop according to the evaluation index score;
and the reminding unit is used for determining reminding of the weak indexes of the low-voltage distribution loop according to the variation speed of the trends of the plurality of evaluation indexes.
A third aspect of embodiments of the present application provides a low voltage power distribution loop monitoring device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to any one of the first aspect when executing the computer program.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, in which a computer program is stored, which, when executed by a processor, performs the steps of the method according to any one of the first aspect.
Compared with the prior art, the embodiment of the application has the advantages that: this application is through the raw data who obtains low voltage distribution circuit's a plurality of periods, and calculate the score that obtains the evaluation index that a plurality of periods correspond according to raw data, the evaluation index trend that the evaluation index corresponds is generated according to the score of confirming, according to a plurality of evaluation index's rate of change, generate weak evaluation index's warning, thereby be convenient for the staff adjusts low voltage distribution circuit according to weak index in advance, unusual equipment appears in time the discovery, so that can reduce equipment damage, reduce enterprise's cost, promote enterprise competitiveness.
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In order to more clearly illustrate the technical solutions in the embodiments of the present application, 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 application, 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 schematic flow chart illustrating an implementation of a low-voltage distribution loop monitoring method according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart illustrating an implementation of an evaluation index determining method according to an embodiment of the present application;
fig. 3 is a schematic diagram of a low-voltage distribution loop monitoring device according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a low-voltage distribution loop monitoring device provided in an embodiment of the present application.
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 present application. It will be apparent, however, to one skilled in the art that the present application 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 application with unnecessary detail.
In order to explain the technical solution described in the present application, the following description will be given by way of specific examples.
At present, monitoring of consumer-side power utilization circuits, including enterprise power utilization circuits and residential power utilization circuits, is generally limited to statistics and reporting functions of electric energy and electric charge information of power utilization links, and low-voltage power distribution circuits do not have obvious fixed characteristics due to differences of power utilization voltages of power utilization equipment in enterprise power utilization, such as 380V alternating current and 220V alternating current. If the management scheme of adopting the electric wire netting side is to low pressure distribution circuit monitoring, the health status of understanding equipment that can not be timely can not effectually be maintained equipment before the trouble takes place, the equipment cost of the enterprise of can not effectual reduction, promote enterprise competitiveness.
In view of the above problems, an embodiment of the present invention provides a method for monitoring a low-voltage distribution circuit, as shown in fig. 1, the method including:
in S101, raw data corresponding to a plurality of periods of a low-voltage distribution loop is acquired.
Specifically, the raw data described in the embodiment of the present application may include raw data of voltage, current, power, frequency, temperature, and the like in the low-voltage distribution loop.
In order to facilitate calculation of the score of the evaluation index, the raw data may be raw data of a predetermined time period.
In the embodiment of the application, the collected original data of the same loop in a plurality of time periods can be updated according to the change of time. For example, the number of the original data may be set to N, and if the original data acquired N times is included in the original data acquired before, when new original data is acquired at present, the earlier original data may be deleted, and the latest original data acquired a predetermined number of times may be updated.
In a possible implementation manner, the collected raw data may include raw data of a plurality of low-voltage power distribution loops, so that scores of evaluation indexes corresponding to the plurality of low-voltage power distribution loops are calculated through the raw data of the plurality of low-voltage power distribution loops.
In S102, a score of the corresponding evaluation index is calculated from the raw data of a plurality of periods.
When determining the score of the evaluation index according to the acquired original data, the original data can be preprocessed to obtain intermediate index data corresponding to the original data, and the score of the evaluation index is calculated according to the intermediate index data and the weighted average coefficient. Specifically, as shown in fig. 2, the method includes:
in S201, a plurality of intermediate index data are generated from the raw data.
The intermediate index data in the embodiment of the application may include data such as peak-to-valley difference, load rate, voltage qualification rate, average load rate, three-phase unbalance, frequency qualification rate, power factor qualification rate, temperature rise coefficient, and the like.
The peak-to-valley difference refers to a difference value between a maximum value and a minimum value of a certain type of raw data within a predetermined time period. For example, voltage peak-to-valley differences, current peak-to-valley differences, power peak-to-valley differences, frequency peak-to-valley differences, temperature peak-to-valley differences, and the like may be included.
The load rate refers to a ratio of an average load to a maximum load over a predetermined period of time. The ratio reflects the change information of the load in a predetermined period.
The voltage yield refers to a proportion of the voltage within a predetermined period of time that falls within a predetermined voltage range.
The average load rate is the ratio between the average load in the circuit and the rated load over a predetermined period of time.
The three-phase unbalance degree refers to the degree of three-phase unbalance in a specified duration, and can be expressed by the root-mean-square percentage of the negative sequence fundamental component or the zero sequence fundamental component and the positive sequence fundamental component of the voltage and the current.
Frequency qualification rate refers to the ratio of the length of time that a frequency within a predetermined length of time belongs to a predetermined qualified frequency range to a predetermined length of time.
The power factor qualification rate refers to a ratio of a length of time within a predetermined length of time for which the power factor falls within a predetermined qualified power factor range to a predetermined length of time.
The temperature rise coefficient refers to the value of each index parameter changing along with the change of temperature.
In the embodiment of the present application, the generated intermediate index data may include one or more of the intermediate index data described above. Without being limited thereto, other intermediate index data may be included.
In S202, scores of the plurality of intermediate index data are determined according to a threshold range corresponding to preset intermediate index data.
The numerical value of the intermediate index data can be determined by calculation according to the original data, and in order to evaluate the low-voltage distribution circuit by integrating a plurality of intermediate index data, the score corresponding to the intermediate index data can be determined through the preset threshold range corresponding to each intermediate index data. For example, the voltage peak-to-valley difference corresponds to a voltage peak-to-valley difference threshold range, and the voltage yield corresponds to a voltage yield threshold range.
In a possible implementation, if the intermediate indicator data falls within a predetermined threshold range, it may be
According to the formula:
Figure BDA0002898078680000071
determining a score for the intermediate metric data, wherein siAs a score of the i-th intermediate index data, dmaxIs the maximum value of the threshold range, dminIs the minimum value of the threshold range, diIs the value of the ith intermediate index data.
If the intermediate index data does not belong to the predetermined threshold range, the score of the intermediate index data may be determined according to the optimization direction of the intermediate index data. For example, the larger the voltage yield, the better, and therefore, when the voltage yield is greater than the maximum value in the threshold range, the score of the voltage yield may be determined to be 100, and when the voltage yield is less than the minimum value in the predetermined threshold range, the score of the voltage yield may be determined to be 0.
In S203, a weighted calculation is performed according to the intermediate index data, and a score of the evaluation index corresponding to the low-voltage distribution circuit is obtained.
After the scores corresponding to the intermediate indexes are determined, the scores corresponding to the multiple evaluation indexes can be calculated according to the weighted average coefficient corresponding to the intermediate index data when different evaluation indexes are calculated.
In a possible implementation, the formula can be based on
Figure BDA0002898078680000081
Calculating the score of the evaluation index corresponding to the low-voltage distribution loop, wherein ejIs the score of the j-th evaluation index, siIs the score of the i-th intermediate index data, aijAnd calculating a weighted average coefficient when the j evaluation index is calculated for the ith intermediate index, wherein n is the number of the intermediate indexes.
The evaluation index may include evaluation indexes such as safety, economy, stability, and the like.
In S103, an evaluation index trend of the low-voltage distribution circuit is determined according to the evaluation index score.
For the same low-voltage distribution loop, the original data can be acquired for multiple times, the scores of multiple evaluation indexes corresponding to the original data acquired each time are calculated, and the evaluation index trends corresponding to the multiple evaluation indexes are obtained according to the scores of the evaluation indexes calculated for multiple times.
Wherein, the evaluation index trend can be determined by means of curve fitting.
In S104, a reminder of a weakness indicator of the low-voltage distribution circuit is determined based on the rate of change of the plurality of evaluation indicator trends.
According to the fitted trends of the plurality of evaluation indexes, the change rule of the evaluation indexes in a plurality of time periods in the future can be predicted, and the reminding of the weak indexes of the low-voltage distribution loop is determined according to the change speed in the change rule.
For example, the speed of the decrease and change of the stability in the evaluation index is obviously faster than the speed of the change of other indexes, or the speed of the decrease and change of the safety is obviously faster than the speed of the change of other indexes, a reminder of a weak index can be generated, equipment in a low-voltage power distribution loop can be checked and maintained in time according to statistical experience, the probability of equipment damage is reduced, the production cost of an enterprise is reduced, and the competitiveness of the enterprise is improved.
In a possible implementation manner, the embodiment of the application can also acquire and calculate scores of evaluation indexes of a plurality of low-voltage power distribution loops. The scores of the obtained evaluation indexes of the low-voltage distribution loops are compared, the loop with the lowest score is determined to be a weak loop, and the reminding of the weak loop can be generated, so that the staff can timely overhaul the equipment of the weak loop, and the probability of equipment damage is reduced.
In a possible implementation manner, the low-voltage distribution circuit can be checked and adjusted according to the generated prompt. If the adjustment scheme does not match the actual evaluation index of the low-voltage distribution loop, the weighted average coefficient for calculating the score of the evaluation index can be updated according to the adjusted original data.
For example, the following may be expressed according to the formula:
Figure BDA0002898078680000091
updating a weighted average coefficient for calculating a score of the evaluation index, wherein: a isijCalculating weighted average coefficient of j evaluation index for i intermediate index before updating, anewijCalculating weighted average coefficient p of j evaluation index for updated i intermediate indexiIs the actual percentage improvement of the i-th intermediate index, and
Figure BDA0002898078680000092
peiis the desired percentage improvement, s, of the i-th intermediate indexnewiTo improveScore, s, of the latter i-th intermediate indexiThe score of the i-th intermediate index before improvement. Wherein the desired percentage of improvement may be determined based on empirical data, statistical data, and actual conditions.
The low-voltage distribution loop can be adjusted for multiple times according to the weak indexes of the low-voltage distribution loop, the weighted average coefficient of the evaluation index is calculated and updated for multiple times according to multiple times of adjustment, the weighted average coefficient matched with the electric equipment of the loop is obtained, and the low-voltage distribution loop is monitored according to the updated weighted average coefficient. In addition, in the subsequent monitoring process, the weighted average coefficient which is updated recently before can be used for calculating the evaluation index, so that the precision of the system is continuously improved in the continuous use process.
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 application.
Fig. 3 is a schematic diagram of a low-voltage distribution loop monitoring device according to an embodiment of the present application, as shown in fig. 3, the device includes:
a raw data acquiring unit 301, configured to acquire raw data corresponding to multiple time periods of a low-voltage power distribution circuit;
an evaluation index calculation unit 302, configured to calculate a score of a corresponding evaluation index according to the raw data of multiple time periods;
an index trend determination unit 303, configured to determine an evaluation index trend of the low-voltage distribution circuit according to the evaluation index score;
and the reminding unit 304 is configured to determine reminding of the weak index of the low-voltage distribution loop according to the change speed of the trends of the multiple evaluation indexes.
The low-voltage distribution circuit monitoring apparatus shown in fig. 3 corresponds to the low-voltage distribution circuit monitoring method shown in fig. 1.
Fig. 4 is a schematic diagram of a low-voltage distribution circuit monitoring device according to an embodiment of the present application. As shown in fig. 4, the low-voltage distribution circuit monitoring apparatus 4 of the embodiment includes: a processor 40, a memory 41 and a computer program 42, such as a low voltage distribution circuit monitoring program, stored in said memory 41 and executable on said processor 40. The processor 40, when executing the computer program 42, implements the steps in the various low voltage power distribution loop monitoring method embodiments described above. Alternatively, the processor 40 implements the functions of the modules/units in the above-described device embodiments when executing the computer program 42.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to accomplish the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions that describe the execution of the computer program 42 in the low voltage distribution loop monitoring device 4.
The low-voltage power distribution loop monitoring device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing device. The low voltage power distribution loop monitoring device may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of the low voltage distribution circuit monitoring device 4 and does not constitute a limitation of the low voltage distribution circuit monitoring device 4 and may include more or fewer components than shown, or some components in combination, or different components, for example, the low voltage distribution circuit monitoring device may also include input output devices, network access devices, buses, etc.
The Processor 40 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 memory 41 may be an internal storage unit of the low voltage power distribution circuit monitoring device 4, such as a hard disk or a memory of the low voltage power distribution circuit monitoring device 4. The memory 41 may also be an external storage device of the low-voltage power distribution loop monitoring device 4, 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, which are equipped on the low-voltage power distribution loop monitoring device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the low voltage distribution circuit monitoring device 4. The memory 41 is used to store the computer program and other programs and data required by the low voltage distribution circuit monitoring device. The memory 41 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 to perform all or part of the above-mentioned functions. 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. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and 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 application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other ways. For example, the above-described embodiments of the apparatus/terminal device are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, 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.
The 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 application 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 methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of the methods described above can be implemented. 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 the 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 contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should 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 application and are intended to be included within the scope of the present application.

Claims (8)

1. A low voltage power distribution loop monitoring method, the method comprising:
acquiring original data corresponding to a plurality of time periods of a low-voltage distribution loop;
calculating the score of the corresponding evaluation index according to the original data of a plurality of time intervals;
determining the evaluation index trend of the low-voltage distribution loop according to the evaluation index score, wherein the index trend is determined in a curve fitting mode;
determining a reminder of a weak index of the low-voltage distribution loop according to the variation speed of the trends of the multiple evaluation indexes;
adjusting the low-voltage distribution loop according to adjustment information input by a user;
updating and calculating the weighted average coefficient of the score of the evaluation index according to the adjusted original data of the low-voltage distribution loop, wherein the weighted average coefficient comprises the following steps:
according to the formula:
Figure FDA0003267784160000011
updating a weighted average coefficient for calculating a score of the evaluation index, wherein: a isijCalculating weighted average coefficient of j evaluation index for i intermediate index before updating, anewijCalculating weighted average coefficient p of j evaluation index for updated i intermediate indexiIs the actual percentage improvement of the i-th intermediate index, and
Figure FDA0003267784160000012
peiis the desired percentage improvement, s, of the i-th intermediate indexnewiScore for improved i-th intermediate index, siThe score of the i-th intermediate index before improvement.
2. The method of claim 1, further comprising:
obtaining evaluation indexes corresponding to a plurality of low-voltage power distribution loops in the current time period;
and determining the reminding of the weak power distribution loop according to the comparison result of the evaluation indexes corresponding to the current time period.
3. The method according to claim 1 or 2, wherein calculating a score of a corresponding evaluation index from the raw data comprises:
generating a plurality of intermediate index data according to the original data;
determining scores of the plurality of intermediate index data according to a threshold range corresponding to preset intermediate index data;
and performing weighted calculation according to the intermediate index data to obtain the score of the evaluation index corresponding to the low-voltage distribution loop.
4. The method according to claim 3, wherein determining scores of the plurality of intermediate index data according to a threshold range corresponding to preset intermediate index data comprises:
when the intermediate index data belongs to a predetermined threshold range, according to a formula:
Figure FDA0003267784160000021
determining a score for the intermediate metric data, wherein siAs a score of the i-th intermediate index data, dmaxIs the maximum value of the threshold range, dminIs the minimum value of the threshold range, diThe numerical value of the ith intermediate index data;
and when the intermediate index data does not belong to a preset threshold range, determining the score of the intermediate index data according to the optimization direction of the intermediate index data.
5. The method of claim 3, wherein performing a weighted calculation based on the intermediate indicator data to obtain a score for an evaluation indicator corresponding to the low-voltage distribution loop comprises:
according to the formula
Figure FDA0003267784160000022
Calculating the score of the evaluation index corresponding to the low-voltage distribution loop, wherein ejIs the score of the j-th evaluation index, siIs the score of the i-th intermediate index data, aijAnd calculating a weighted average coefficient when the j evaluation index is calculated for the ith intermediate index, wherein n is the number of the intermediate indexes.
6. A low voltage power distribution loop monitoring device, the device comprising:
the device comprises an original data acquisition unit, a data processing unit and a data processing unit, wherein the original data acquisition unit is used for acquiring original data corresponding to a plurality of time periods of a low-voltage distribution loop;
the evaluation index calculation unit is used for calculating the scores of the corresponding evaluation indexes according to the original data of a plurality of time intervals;
the index trend determining unit is used for determining the evaluation index trend of the low-voltage distribution loop according to the evaluation index score, and the index trend is determined in a curve fitting mode;
the reminding unit is used for determining reminding of weak indexes of the low-voltage distribution loop according to the variation speed of the trends of the evaluation indexes;
the device is also used for adjusting the low-voltage distribution loop according to the adjustment information input by the user after the reminding unit determines the reminding of the weak index of the low-voltage distribution loop according to the variation speed of the trends of the plurality of evaluation indexes;
updating and calculating the weighted average coefficient of the score of the evaluation index according to the adjusted original data of the low-voltage distribution loop, wherein the weighted average coefficient comprises the following steps:
according to the formula:
Figure FDA0003267784160000031
updating a weighted average coefficient for calculating a score of the evaluation index, wherein: a isijCalculating weighted average coefficient of j evaluation index for i intermediate index before updating, anewijCalculating weighted average coefficient p of j evaluation index for updated i intermediate indexiIs the actual percentage improvement of the i-th intermediate index, and
Figure FDA0003267784160000032
peiis the desired percentage improvement, s, of the i-th intermediate indexnewiScore for improved i-th intermediate index, siThe score of the i-th intermediate index before improvement.
7. A low voltage power distribution loop monitoring device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, characterized in that said processor implements the steps of the method according to any of claims 1 to 5 when executing said computer program.
8. 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 according to any one of claims 1 to 5.
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