CN113128840A - Equipment state evaluation method, system and storage medium - Google Patents
Equipment state evaluation method, system and storage medium Download PDFInfo
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Abstract
The invention relates to a method, a system and a storage medium for evaluating equipment state, wherein the method comprises the following steps: the monitoring terminal monitors the state quantity of the power distribution network equipment and transmits monitoring data to the communication base station; the communication base station transmits the monitoring data to a monitoring layer; the monitoring layer records a time tag corresponding to the monitoring data and reads off-line data corresponding to the time tag in an off-line test database; the monitoring layer calculates the performance index of the monitoring terminal according to the off-line data and the monitoring data, determines the state of the monitoring terminal according to the performance index and realizes the self-checking of the performance of the monitoring terminal; the state of the monitoring terminal is checked by self-calibration to evaluate, so that an effective basis is provided for the evaluation of the power distribution network monitoring terminal, and the problem of monitoring distortion caused by unqualified performance or self-degradation of the monitoring terminal at present is solved.
Description
Technical Field
The invention relates to the technical field of power distribution network monitoring, in particular to a method and a system for evaluating equipment state and a storage medium.
Background
In recent years, as the demand of users for power supply quality is increasing, the power supply reliability index also becomes an important technical index of the power system. The power distribution network directly faces to terminal users, is closely related to the production life of people, and is one of key factors influencing the power supply reliability. Once the power distribution network fails, serious adverse effects are caused to the production and life of people. Therefore, the state monitoring and evaluation of the power distribution network equipment is very important. The equipment state monitoring and evaluation refers to the measurement of certain characteristic quantity parameters (such as electrical quantity parameters, temperature, gas components and content, noise and the like) of the device by using a modern sensing technology, the calculation of a predicted value of the equipment in a normal state is carried out by using the existing state prediction method based on the data, the evaluation of the running state of the equipment is realized by comparing an actual measurement result with the calculated predicted value, and then the equipment is judged to be in a normal or abnormal state, so that a targeted measure is taken in advance to control and prevent the occurrence of faults.
Conventionally, a manual inspection and evaluation method is adopted, for example, national grid companies arrange inspection in different periods for different levels of equipment, so as to ensure the reliability of the performance of the equipment on the distribution network side. However, as the power distribution network is increasingly expanded, the number of terminals thereof is rapidly increased and the distribution is wide, so that the traditional method generates great operation and maintenance cost and has extremely low efficiency and is difficult to be put into practical use. Therefore, in some areas, such as Zhejiang and Guangdong, which have high requirements on power supply reliability, an online monitoring terminal is introduced into the power distribution network, so that real-time monitoring of power distribution network equipment is realized. The method can comprehensively collect the state quantity data of the equipment and transmit the data to the monitoring layer of the system, the monitoring layer carries out data processing to evaluate the running state of the equipment, and once a fault is found, field workers are arranged to realize accurate maintenance, so that the working efficiency is greatly improved, and the intelligent conversion from 'passive first-aid repair' to 'active operation and maintenance' is realized. However, the performance of the on-line monitoring terminals on the market is not uniform, and even a behavior of uploading false data may exist; on the other hand, due to disturbance caused by changes of the operating environment and the load or deterioration of the performance of the monitoring terminal, the measurement accuracy of the monitoring terminal may be affected, and the alarm signal is frequently and mistakenly triggered.
Disclosure of Invention
The invention aims to provide a device state evaluation method, a device state evaluation system and a storage medium, which evaluate the state of a monitoring terminal through self-checking, provide an effective basis for the evaluation of a power distribution network monitoring terminal and solve the problem of monitoring distortion caused by unqualified performance or self-degradation of the monitoring terminal at present.
The technical scheme for solving the technical problems is as follows: the equipment state evaluation method comprises the following steps:
the monitoring terminal monitors the state quantity of the power distribution network equipment and transmits monitoring data to the communication base station;
the communication base station transmits the monitoring data to a monitoring layer;
the monitoring layer records a time tag corresponding to the monitoring data and reads off-line data corresponding to the time tag in an off-line test database;
and the monitoring layer calculates the performance index of the monitoring terminal according to the off-line data and the monitoring data, determines the state of the monitoring terminal according to the performance index and realizes the self-checking of the performance of the monitoring terminal.
The invention has the beneficial effects that: the method comprises the steps of monitoring the monitoring data of the state quantity of the power distribution network equipment on line according to the monitoring terminal, calculating a performance index for evaluating the state of the monitoring terminal based on the monitoring data monitored on line and the off-line data, further realizing self-checking of the performance of the monitoring terminal according to the performance index, and evaluating the state of the monitoring terminal through self-checking, so that an effective basis is provided for evaluation of the power distribution network monitoring terminal, and the problem of monitoring distortion caused by unqualified performance or self-degradation of the monitoring terminal at present is solved.
On the basis of the technical scheme, the invention can be further improved as follows:
the communication base station comprises a data acquisition base station, a 5G sharing base station and a central base station, the power distribution network equipment, the monitoring terminal, the data acquisition base station and the central base station are all located in the coverage range of the 5G sharing base station, and the 5G sharing base station is used for providing a 5G communication channel for a power distribution network area;
the monitoring terminal monitors the state quantity of the power distribution network equipment, and transmits monitoring data to the communication base station, and the monitoring terminal comprises:
the monitoring terminal transmits the monitoring data to a data acquisition base station through a 5G signal;
the communication base station transmitting the monitoring data to a monitoring layer comprises:
the data acquisition base station receives monitoring data from all surrounding monitoring terminals through 5G signals, packs and compresses the monitoring data, and transmits the monitoring data to the central base station through the 5G signals;
and the central base station transmits the packed monitoring data to the monitoring layer through wired transmission.
The beneficial effect of adopting the further scheme is that: based on the 5G transmission technology, a large amount of equipment and high-density data on the distribution network side can be effectively handled, and the problem that the traditional wireless transmission technology is difficult to bear the data density and the equipment access density of the current distribution network is solved.
Further, the performance index of the monitoring terminal comprises a standard deviation and a standard deviation conversion rate;
sxis standard deviation, xiIs the off-line data, y, of the corresponding time tag in the off-line test databaseiFor the monitoring data, n is the number of monitoring data used for checking, txIn the standard deviation change rate, Δ t is the self-checking period, and Δ s is the difference between adjacent standard deviations.
The beneficial effect of adopting the further scheme is that: the standard deviation represents the dispersion between the monitoring data acquired by the monitoring terminal and the off-line data, and the standard deviation change rate represents the deviation between the monitoring data acquired by the monitoring terminal and the off-line data; and the standard deviation change rate are used as performance indexes of the monitoring terminal, so that the accuracy of self-checking of the monitoring terminal is ensured.
Further, the determining the state of the monitoring terminal according to the performance index includes:
when the standard deviation is smaller than a standard deviation threshold value and the standard deviation conversion rate is smaller than a standard deviation conversion rate, determining that the monitoring terminal is in a normal working state;
and when the standard deviation is greater than or equal to the standard deviation threshold value or the standard deviation conversion rate is greater than or equal to the standard deviation conversion rate, determining that the monitoring terminal is in an abnormal state.
The beneficial effect of adopting the further scheme is that: and comparing the performance indexes with preset threshold values respectively to realize self-checking of the performance of the monitoring terminal.
Further, when the monitoring terminal is in a normal working state, the device state evaluation method further includes:
when the monitoring data corresponding to the state quantity is detected to exceed the standard, the exceeding state quantity is used as a first relevant variable;
determining all state quantities related to the first related variable respectively as a second related variable and an nth related variable …, wherein n is a positive integer;
and determining whether the power distribution network equipment fails according to the variation trend of the n relevant variables.
The beneficial effect of adopting the further scheme is that: the state of the power distribution network equipment is evaluated based on multi-parameter fusion, and whether the power distribution network equipment breaks down or not can be reasonably and accurately determined by judging the over-standard state quantity and the overall change condition of the relevant state variables.
Further, the determining whether the power distribution network equipment fails according to the variation trend of the n relevant variables comprises:
respectively acquiring the change absolute values of the monitoring data of the n relevant variables in a preset time period;
and comparing the absolute value of the change with a variable threshold corresponding to the relevant variable, and determining that the power distribution network equipment fails when the absolute values of the change of the n relevant variables are all larger than the corresponding variable thresholds.
The beneficial effect of adopting the further scheme is that: the characteristic that a plurality of state quantities of equipment are simultaneously influenced by faults is adopted, and the fault can be determined only if relevant variables simultaneously meet change conditions, so that the fault and a false alarm event can be distinguished, and the loss of manpower and material resources caused by the false alarm event is effectively reduced.
Further, the variable threshold includes:
ΔFi＝Ti×αi＝1,2...n
ΔFivariable threshold, T, for the ith related variableiAnd alpha is a setting coefficient for setting a variable threshold value and has a value range of 0.01-0.1.
The beneficial effect of adopting the further scheme is that: and determining variable thresholds of the relevant variables based on the power equipment state evaluation guide rule, ensuring the accuracy of judging the relevant variables and providing a basis for subsequently determining whether the power distribution network equipment fails.
In order to solve the above problem, an embodiment of the present invention further provides an apparatus state evaluation system, where the apparatus state evaluation system includes: the monitoring terminal monitors the state quantity of the power distribution network equipment and transmits monitoring data to the communication base station;
the communication base station transmits the monitoring data to a monitoring layer;
the monitoring layer records a time tag corresponding to the monitoring data and reads off-line data corresponding to the time tag in an off-line test database;
and the monitoring layer calculates the performance index of the monitoring terminal according to the off-line data and the monitoring data, determines the state of the monitoring terminal according to the performance index and realizes the self-checking of the performance of the monitoring terminal.
Further, the communication base station comprises a data acquisition base station, a 5G shared base station and a central base station, and the power distribution network equipment, the monitoring terminal, the data acquisition base station and the central base station are all located in the coverage area of the 5G shared base station;
the 5G shared base station is used for providing a 5G communication channel for a power distribution network area;
the data acquisition base station is used for receiving monitoring data transmitted from all the surrounding monitoring terminals through 5G signals, packaging and compressing the monitoring data, and transmitting the monitoring data to the central base station through the 5G signals
And the central base station is used for transmitting the packed monitoring data to the monitoring layer through wired transmission.
In order to solve the above problem, an embodiment of the present invention further provides a storage medium storing one or more computer programs, which are executable by one or more processors to implement the steps of the device state assessment method as described above.
Drawings
Fig. 1 is a schematic flow chart illustrating an apparatus status evaluation method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus state evaluation system according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating a communication layer in a device status evaluation system according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating state evaluation of power distribution network equipment according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of another device status evaluation system according to an embodiment of the present invention;
fig. 6 is a flowchart illustrating an apparatus status evaluation method according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, fig. 1 is a method for evaluating a device status provided by this embodiment, and the method for evaluating a device status includes:
s101, monitoring the state quantity of the power distribution network equipment by a monitoring terminal, and transmitting monitoring data to a communication base station;
s102, the communication base station transmits monitoring data to a monitoring layer;
s103, the monitoring layer records the time tags corresponding to the monitoring data and reads the off-line data corresponding to the time tags in the off-line test database;
and S104, the monitoring layer calculates the performance index of the monitoring terminal according to the off-line data and the monitoring data, determines the state of the monitoring terminal according to the performance index and realizes the self-checking of the performance of the monitoring terminal.
In this embodiment, the monitoring data of the state quantity of the power distribution network equipment is monitored on line according to the monitoring terminal, the performance index used for evaluating the state of the monitoring terminal is calculated based on the monitoring data monitored on line and the off-line data, the performance of the monitoring terminal is self-checked according to the performance index, the state of the monitoring terminal is self-checked to evaluate, an effective basis is provided for evaluation of the power distribution network monitoring terminal, and the problem of monitoring distortion caused by unqualified performance or self-degradation of the monitoring terminal at present is solved.
It should be noted that, as shown in fig. 2, the device state evaluation system includes a device layer, a communication layer, and a monitoring layer, where the device layer includes a distribution network device and a monitoring terminal, and the distribution network device includes a transformer, a section switch, an intelligent transformer area, and other primary devices; the monitoring terminal is used for monitoring the primary equipment in real time, a sensing device and a wireless transmission device are arranged in the monitoring terminal, and different monitoring terminals are provided with different sensing devices, including a temperature sensor, a noise sensor and the like; the communication base station comprises a data acquisition base station and a central base station, and further comprises a 5G (5 th-Generation) sharing base station (not shown in the figure), and the power distribution network equipment, the monitoring terminal, the data acquisition base station and the central base station are all located in the coverage range of the 5G sharing base station; the data acquisition base station and the central base station are transmission paths for uploading monitoring data to the monitoring layer, and the 5G shared base station provides effective technical support for the transmission; the 5G sharing base station is built by depending on facilities such as the existing transformer substation, an electric power iron tower and the like, so that the investment cost is reduced, and the resource sharing is realized. The 5G sharing base station solves the problem of site selection of the base station, and the infrastructure provides a highly reliable uninterrupted power supply guarantee, so that the service quality of the 5G network is effectively improved. The monitoring layer comprises a database And a Supervisory Control And Data Acquisition (SCADA) system, And is used for processing monitoring Data transmitted by a lower layer And evaluating the state of the equipment.
With the rapid increase of the number of online monitoring terminals, monitoring data to be transmitted will also exhibit explosive growth, and in the absence of wired communication, the reliability of transmission is difficult to ensure in both the conventional 4G (fourth generation mobile communication technology) transmission mode and the GPRS (General packet radio service) wireless mode; in order to solve the problem that traditional wireless transmission technology is difficult to bear current distribution network data density and equipment access density, in this embodiment, carry out data transmission based on 5G transmission technology, it is specific, monitoring terminal monitors distribution network equipment's quantity of state to include monitoring data transmission to communication base station: monitor terminal transmits monitoring data for the data acquisition basic station through the 5G signal, and communication base station includes with monitoring data transmission to the control layer: the data acquisition base station receives monitoring data from all surrounding monitoring terminals through 5G signals, packs and compresses the monitoring data, and transmits the monitoring data to the central base station through the 5G signals; the central base station transmits the packed monitoring data to the monitoring layer through wired transmission. That is, in this embodiment, as shown in fig. 3, one data acquisition base station can receive data of all monitoring terminals in a peripheral area thereof, and a plurality of data acquisition base stations collectively cover the entire distribution network area; the data acquisition base station receives monitoring data from all surrounding monitoring terminals through 5G signals, the central base station receives the monitoring data transmitted by all surrounding data acquisition base stations through the 5G signals, and finally the monitoring data are uploaded to a monitoring layer through the central base station in a fiber-optic wired transmission mode, and the fiber-optic communication meets ITU-TG.651 series standards. In other embodiments, the data acquisition base station and the central base station may also communicate by using an optical cable, and the central base station and the monitoring layer may also use a 5G signal mode. In other embodiments, the monitoring terminal may further select a corresponding transmission mode according to the data amount of the monitoring data, for example, when the data amount is greater than a threshold, a 5G signal is used for data transmission, otherwise, a 4G signal is used for data transmission.
It should be understood that the database of the monitoring layer includes an offline test database, and the data in the offline test database is the data of the monitoring terminal during normal operation; the establishment process comprises the following steps: considering that the data change of the monitoring device shows periodic change in a unit of preset time, for example, in order to ensure the reliability of an offline database, verification may be performed in an early stage, a period of days or weeks or even months is selected according to actual conditions, monitoring data in the period is collected, and certain processing is performed, such as taking an average or a mode, etc., the previous monitoring data is often huge, accuracy can be improved through processing, and a "time-value" correspondence relationship is finally established.
In this embodiment, the monitoring layer decompresses the data packet, obtains the monitoring data acquired by the monitoring terminal, records the time tag of the current online monitoring data, and periodically knows that a certain corresponding time exists in the offline database. For example, if the unit is day, the offline data at the corresponding time can be selected from the corresponding relation of "time-value" according to the time of reading the online monitoring data; if the week is taken as a unit, selecting corresponding offline data from the corresponding relation of time-value according to which time of day of the week the online monitoring data is read; similarly, off-line data can be obtained in a monthly or even yearly cycle.
In this embodiment, the performance index of the monitoring terminal includes the standard deviation and the standard deviation change rate,
sxis standard deviation, xiIs the off-line data, y, of the corresponding time tag in the off-line test databaseiFor the monitored data, n is the number of monitored data for verification, txIn the standard deviation change rate, Δ t is the self-checking period, and Δ s is the difference between adjacent standard deviations. The standard deviation represents the dispersion between the monitoring data acquired by the monitoring terminal and the offline data, and the standard deviation change rate represents the deviation between the monitoring data acquired by the monitoring terminal and the offline data.
In this embodiment, determining the device state of the monitoring terminal according to the performance index includes: when the standard deviation is smaller than the standard deviation threshold value and the standard deviation conversion rate is smaller than the standard deviation conversion rate, determining that the monitoring terminal is in a normal working state; and when the standard deviation is greater than or equal to the standard deviation threshold value or the standard deviation conversion rate is greater than or equal to the standard deviation conversion rate, determining that the monitoring terminal is in an abnormal state. The standard deviation threshold value and the standard deviation conversion rate threshold value are determined by experts according to own experience and on-site historical data, and subjective factors and objective factors are considered; when the monitoring terminal is in an abnormal state, the monitoring layer can also arrange operation and maintenance personnel to overhaul the monitoring terminal in time; when the monitoring terminal is in a normal state, the data monitored by the monitoring terminal is reliable and accurate, and the monitoring data is further analyzed to determine the state of the power distribution network equipment.
It should be noted that, in this embodiment, the self-check of the monitoring terminal is performed periodically, where the interval period is determined according to the importance degree of the monitoring data, when the monitoring data is important, the interval period may be set to be performed once a day, or vice versa, and the interval period may also be determined according to the size of the actual power distribution network or the data density on the distribution network side, for example, when the actual power distribution network is small, the interval period may be performed once a week. When the monitoring terminal checks the state quantity periodically, the monitoring terminal collects the monitoring data in the period, and may perform certain processing, such as taking an average or a mode, to obtain the final monitoring data of the state quantity.
It is to be noted that, in this embodiment, the state of the power distribution network device may also be evaluated based on monitoring data monitored by the monitoring terminal, specifically, when the monitoring terminal is in a normal working state, the device state evaluation method further includes: when the monitoring data corresponding to the state quantity is detected to exceed the standard, the exceeding state quantity is used as a first relevant variable; determining all state quantities related to the first related variable as a second related variable and a third related variable … nth related variable respectively; and determining whether the power distribution network equipment fails according to the variation trend of the n relevant variables. The state of the power distribution network equipment is evaluated based on multi-parameter fusion, the abnormal state of the power distribution network equipment and the adverse effect caused by equipment failure can be reflected on the multi-parameter, and particularly the associated variables can be affected at the same time.
In this embodiment, the state quantity includes parameters of an electrical quantity, such as current, voltage, power, temperature, gas composition, gas content, noise, and the like, and whether the monitoring data corresponding to the state quantity exceeds the standard is detected, where the standard of the exceeding is a criterion referring to various current electrical devices, such as Q/GWD 10171-2016 "SF 6 high-voltage circuit breaker state evaluation guide rule". When the state quantity exceeds the standard, taking the state quantity as a related variable 1, and determining the state quantity directly related to the state quantity, namely related variable 2 and related variable n … in sequence; for example, when the out-of-standard state quantity is current, the related variables are voltage and power; when the overproof state quantity is a gas component, the relevant variables are temperature and gas content.
Specifically, determining whether the power distribution network equipment fails according to the variation trend of the n relevant variables includes: respectively acquiring the change absolute values of the monitoring data of the n relevant variables in a preset time period; and comparing the change absolute value with the variable threshold corresponding to the relevant variable, and determining that the power distribution network equipment fails when the change absolute values of the n relevant variables are all larger than the corresponding variable threshold. The preset time can be flexibly adjusted according to actual requirements, for example, the preset time is 3 hours, and the difference values of the monitoring data of the n relevant variables changing within 3 hours are respectively obtained; wherein when there are a plurality of changed differences within 3 hours, the largest one of the absolute values of the differences is selected as a corresponding change absolute value. Assuming that the absolute value of the difference of the monitoring data of the relevant variable 1 from 8:00 to 9:00 is 5, the absolute value of the difference of the monitoring data of 9:00 to 10:00 is 8, and the absolute value of the difference of the monitoring data of 10:00 to 11:00 is 7; then 8 is taken as the final change absolute value of the correlation variable 1, and the change absolute value is compared with the variable threshold value of the correlation variable 1; as shown in fig. 4, comparing the absolute value of the change corresponding to each of the related variables 1 and 2 … n with the threshold values 1 and 2 … n (i.e., variable threshold values), assuming that the absolute value of the change corresponding to the related variable 1 is greater than the threshold value 1, and only if the absolute value of the change corresponding to the related variable 2 is greater than the threshold value 2, determining that the power distribution network device is not in fault, which is a false alarm event; and when the absolute values of the changes corresponding to the related variables 1 and 2 … n are greater than the opposite threshold values 1 and 2 … n, determining that the power distribution network equipment fails.
In this embodiment, the variable threshold is: Δ Fi＝TiX α i ═ 1,2.. n, where Δ FiVariable threshold for ith related variable，TiAnd alpha is a setting coefficient for setting a variable threshold value and has a value range of 0.01-0.1. The maximum floating interval is obtained by subtracting a lower limit value from an upper limit value in the state evaluation guide rule of the power equipment, and the setting coefficient alpha can be changed according to the precision requirement of the state quantity.
Example 2
The present embodiment provides an apparatus state evaluation system to implement the steps in the apparatus state evaluation method in the foregoing embodiments; as shown in fig. 5, the system includes a monitoring terminal 501, a communication base station 502, and a monitoring layer 503;
the monitoring terminal 501 monitors the state quantity of the power distribution network equipment and transmits monitoring data to the communication base station 502;
the communication base station 502 transmits the monitoring data to the monitoring layer 503;
the monitoring layer 503 records the time tag corresponding to the monitoring data, and reads the offline data corresponding to the time tag in the offline test database;
the monitoring layer 503 calculates performance indexes of the monitoring terminal according to the offline data and the monitoring data, determines the state of the monitoring terminal 501 according to the performance indexes, and realizes self-checking of the performance of the monitoring terminal 501.
Specifically, the monitoring layer 503 is mainly composed of a database and an SCADA system, and is configured to process monitoring data transmitted by a lower layer and perform state evaluation of the device; the monitoring terminal is positioned on a device layer of the device state evaluation system, and the communication base station is positioned on a communication layer of the device state evaluation system; the power distribution network equipment comprises primary equipment such as a transformer, a section switch and an intelligent transformer area; the monitoring terminal is used for monitoring the primary equipment in real time, a sensing device and a wireless transmission device are arranged in the monitoring terminal, and different monitoring terminals are provided with different sensing devices, including a temperature sensor, a noise sensor and the like; the communication base station 502 comprises a data acquisition base station with 5G signals and a central base station, and also comprises a 5G sharing base station; the 5G shared base station is used for providing a 5G communication channel for a power distribution network area; the data acquisition base station is used for receiving monitoring data transmitted from all the surrounding monitoring terminals through 5G signals, packaging and compressing the monitoring data, transmitting the monitoring data to the central base station through the 5G signals, and transmitting the packaged monitoring data to the monitoring layer through wired transmission; namely, the data acquisition base station and the central base station are transmission paths for uploading the monitoring data to the monitoring layer, and the 5G shared base station provides effective technical support for the transmission.
In this embodiment, the monitoring terminal 501 can utilize various sensing technologies to measure the state quantity of the power distribution network device, the monitoring terminal 501 is of various types, and different power distribution network devices can adopt different monitoring terminals 501. The monitoring terminal 501 has an information transmission function and follows an IEC61850 protocol. The monitoring terminals 501 are all located in the coverage area of the 5G shared base station, and the monitoring terminals 501 can interact with the data acquisition base station by using a 5G transmission technology.
In this embodiment, the data acquisition base station and the 5G sharing base station are both built by depending on facilities such as an existing transformer substation and an existing power iron tower, so that the investment cost is reduced, and resource sharing is realized. The 5G sharing base station provides a 5G communication channel for the whole area, and the data acquisition base station acquires data of all monitoring terminals in the area by using the 5G channel and performs data compression and packaging. A plurality of 5G sharing base stations and data acquisition base stations exist in a power distribution network area, and all the 5G sharing base stations or the data acquisition base stations can cover the whole power distribution network area in a combined mode.
It can be understood that the device state evaluation system in this embodiment may implement the steps in the device state evaluation methods in the foregoing embodiments; as shown in fig. 6, fig. 6 is a method for evaluating a device status implemented by a device status evaluating system of the present invention, including:
s601, monitoring the state quantity of the power distribution network equipment by the monitoring terminal, and transmitting the monitoring data of the state quantity through the data acquisition base station and the central base station;
s602, the monitoring layer checks the performance of the monitoring terminal according to the monitoring data;
and S603, the monitoring layer judges the state of the power distribution network equipment according to the monitoring data.
In S601, monitoring data of the monitoring state quantity of the monitoring terminal is transmitted to a data acquisition base station through a 5G signal, the data acquisition base station is transmitted to a central base station through the 5G signal, and the central base station is transmitted to a monitoring layer through a wire; the power distribution network equipment, the monitoring terminal, the data acquisition base station and the central base station are all located in the coverage range of the 5G shared base station.
In S602, the monitoring layer records a time tag corresponding to the online monitoring data, reads the corresponding offline data, calculates a performance determination index, i.e., a standard deviation and a standard deviation change rate, according to the monitoring data and the offline data, and compares the performance determination index with a pre-designed threshold value 1, where the specific calculation process is the above embodiment, and is not described herein one by one, when the performance determination indexes are both smaller than the corresponding threshold values 1, it is determined that the monitoring terminal has good performance and is in a normal working state, otherwise, it is determined that the monitoring terminal has a fault, and an operation and maintenance person is arranged to overhaul the monitoring terminal in time.
In S603, when it is determined that an arbitrary state quantity exceeds the standard according to the monitoring data, a multi-parameter fusion criterion is started, specifically, all related state quantities in the power distribution network device related to the exceeding state quantity are counted, an absolute value of change within a fixed time interval is calculated, when the exceeding state quantity and all related state quantities are both greater than respective corresponding threshold values 2, it is determined that the power distribution network device fails, otherwise, it is determined that the power distribution network device does not fail, which is a false alarm event; the threshold values 2 corresponding to each other are as described in the above embodiments, and are not described in detail herein.
An embodiment of the present invention further provides a storage medium, where the storage medium stores one or more computer programs, and the one or more computer programs may be executed by one or more processors to implement the steps of the device state evaluation method in the foregoing embodiments, which are not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, 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.
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 of the present invention.
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 unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The technical solutions provided by the embodiments of the present invention are described in detail above, and the principles and embodiments of the present invention are explained in this patent by applying specific examples, and the descriptions of the embodiments above are only used to help understanding the principles of the embodiments of the present invention; the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. An apparatus state evaluation method, characterized in that the apparatus state evaluation method comprises:
the monitoring terminal monitors the state quantity of the power distribution network equipment and transmits monitoring data to the communication base station;
the communication base station transmits the monitoring data to a monitoring layer;
the monitoring layer records a time tag corresponding to the monitoring data and reads off-line data corresponding to the time tag in an off-line test database;
and the monitoring layer calculates the performance index of the monitoring terminal according to the off-line data and the monitoring data, determines the state of the monitoring terminal according to the performance index and realizes the self-checking of the performance of the monitoring terminal.
2. The equipment state evaluation method according to claim 1, wherein the communication base station comprises a data acquisition base station, a 5G shared base station and a central base station, the power distribution network equipment, the monitoring terminal, the data acquisition base station and the central base station are all located in a coverage area of the 5G shared base station, and the 5G shared base station is used for providing a 5G communication channel for a power distribution network area;
the monitoring terminal monitors the state quantity of the power distribution network equipment, and transmits monitoring data to the communication base station, and the monitoring terminal comprises:
the monitoring terminal transmits the monitoring data to a data acquisition base station through a 5G signal;
the communication base station transmitting the monitoring data to a monitoring layer comprises:
the data acquisition base station receives monitoring data from all surrounding monitoring terminals through 5G signals, packs and compresses the monitoring data, and transmits the monitoring data to the central base station through the 5G signals;
and the central base station transmits the packed monitoring data to the monitoring layer through wired transmission.
3. The device status evaluation method according to claim 1, wherein the performance indicators of the monitoring terminal include a standard deviation and a standard deviation transformation ratio;
sxis standard deviation, xiIs the off-line data, y, of the corresponding time tag in the off-line test databaseiFor the monitoring data, n is the number of monitoring data used for checking, txIn the standard deviation change rate, Δ t is the self-checking period, and Δ s is the difference between adjacent standard deviations.
4. The device status assessment method according to claim 3, wherein said determining the status of said monitoring terminal according to said performance indicators comprises:
when the standard deviation is smaller than a standard deviation threshold value and the standard deviation conversion rate is smaller than a standard deviation conversion rate, determining that the monitoring terminal is in a normal working state;
and when the standard deviation is greater than or equal to the standard deviation threshold value or the standard deviation conversion rate is greater than or equal to the standard deviation conversion rate, determining that the monitoring terminal is in an abnormal state.
5. The device status evaluation method according to any one of claims 1 to 4, wherein when the monitoring terminal is in a normal operating state, the device status evaluation method further comprises:
when the monitoring data corresponding to the state quantity is detected to exceed the standard, the exceeding state quantity is used as a first relevant variable;
determining all state quantities related to the first related variable respectively as a second related variable and an nth related variable …, wherein n is a positive integer;
and determining whether the power distribution network equipment fails according to the variation trend of the n relevant variables.
6. The equipment state evaluation method according to claim 5, wherein the determining whether the power distribution network equipment fails according to the variation trend of the n relevant variables comprises:
respectively acquiring the change absolute values of the monitoring data of the n relevant variables in a preset time period;
and comparing the absolute value of the change with a variable threshold corresponding to the relevant variable, and determining that the power distribution network equipment fails when the absolute values of the change of the n relevant variables are all larger than the corresponding variable thresholds.
7. The device state estimation method according to claim 6, wherein the variable threshold value includes:
ΔFi＝Ti×αi＝1,2...n
ΔFivariable threshold, T, for the ith related variableiAnd alpha is a setting coefficient for setting a variable threshold value and has a value range of 0.01-0.1.
8. The equipment state evaluation system is characterized by comprising a monitoring terminal, a communication base station and a monitoring layer;
the monitoring terminal monitors the state quantity of the power distribution network equipment and transmits monitoring data to the communication base station;
the communication base station transmits the monitoring data to a monitoring layer;
the monitoring layer records a time tag corresponding to the monitoring data and reads off-line data corresponding to the time tag in an off-line test database;
and the monitoring layer calculates the performance index of the monitoring terminal according to the off-line data and the monitoring data, determines the state of the monitoring terminal according to the performance index and realizes the self-checking of the performance of the monitoring terminal.
9. The equipment state evaluation system of claim 8, wherein the communication base station comprises a data acquisition base station, a 5G shared base station and a central base station, and the power distribution network equipment, the monitoring terminal, the data acquisition base station and the central base station are all located in a coverage area of the 5G shared base station;
the 5G shared base station is used for providing a 5G communication channel for a power distribution network area;
the data acquisition base station is used for receiving monitoring data transmitted from all the surrounding monitoring terminals through 5G signals, packaging and compressing the monitoring data, and transmitting the monitoring data to the central base station through the 5G signals
And the central base station is used for transmitting the packed monitoring data to the monitoring layer through wired transmission.
10. A storage medium storing one or more computer programs executable by one or more processors to implement the steps of the device state assessment method according to any one of claims 1 to 7.
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