CN116148582A - Power switch cabinet monitoring early warning feedback system based on data analysis - Google Patents
Power switch cabinet monitoring early warning feedback system based on data analysis Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- G01N17/00—Investigating resistance of materials to the weather, to corrosion, or to light
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
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- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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Abstract
The invention belongs to the field of power switch cabinets, relates to a data analysis technology, and is used for solving the problem that a power switch cabinet monitoring early warning feedback system in the prior art cannot be combined with historical environment data and corrosion states of the inner wall of equipment for comprehensive analysis, and particularly relates to a power switch cabinet monitoring early warning feedback system based on data analysis, which comprises an early warning feedback platform, wherein the early warning feedback platform is in communication connection with an environment monitoring module, a historical analysis module, a corrosion monitoring module, a matching analysis module and a storage module, the environment monitoring module is used for monitoring and analyzing the operation environment of a power switch cabinet and obtaining a ring deflection coefficient HP of a monitored object, and judging whether the environment inside the monitored object meets requirements or not through the numerical value of the ring deflection coefficient HP; the invention monitors and analyzes the operation environment of the power switch cabinet, feeds back the environment abnormality degree in the switch cabinet through the ring offset coefficient, and processes in time when the environment abnormality occurs.
Description
Technical Field
The invention belongs to the field of power switch cabinets, relates to a data analysis technology, and particularly relates to a power switch cabinet monitoring early warning feedback system based on data analysis.
Background
The power switch cabinet is complete power distribution equipment formed by assembling primary equipment and secondary equipment, is mainly used for controlling and protecting circuits and equipment, and can be divided into a high-voltage switch cabinet and a low-voltage switch cabinet according to voltage grades;
the monitoring and early warning feedback system of the power switch cabinet in the prior art can only safely monitor the operation environment of the internal electric elements, but cannot comprehensively analyze the historical environment data and the corrosion state of the inner wall of the equipment, so that the actual operation state of the power switch cabinet cannot be monitored, and various risk degrees faced by the power switch cabinet cannot be fed back;
aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a power switch cabinet monitoring and early warning feedback system based on data analysis, which is used for solving the problem that the power switch cabinet monitoring and early warning feedback system in the prior art cannot be combined with historical environment data to comprehensively analyze the corrosion state of the inner wall of equipment.
The technical problems to be solved by the invention are as follows: how to provide a power switch cabinet monitoring and early warning feedback system based on data analysis, which can comprehensively analyze historical environmental data and the corrosion state of the inner wall of equipment.
The aim of the invention can be achieved by the following technical scheme:
the power switch cabinet monitoring early warning feedback system based on data analysis comprises an early warning feedback platform, wherein the early warning feedback platform is in communication connection with an environment monitoring module, a history analysis module, a corrosion monitoring module, a matching analysis module and a storage module;
the environment monitoring module is used for monitoring and analyzing the operation environment of the power switch cabinet, obtaining a ring deflection coefficient HP of a monitored object, and judging whether the environment inside the monitored object meets the requirement or not according to the numerical value of the ring deflection coefficient HP;
the history analysis module is used for comprehensively analyzing the history environment monitoring data of the power switch cabinet and obtaining the calendar coefficient of the monitored object, the history analysis module sends the calendar coefficient to the early warning feedback platform, and the early warning feedback platform sends the calendar coefficient to the matching analysis module after receiving the calendar coefficient;
the corrosion monitoring module is used for monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet and obtaining the corrosion coefficient of the monitored object, the corrosion monitoring module sends the corrosion coefficient of the monitored object to the early warning feedback platform, and the early warning feedback platform sends the corrosion coefficient to the matching analysis module after receiving the corrosion coefficient;
the matching analysis module is used for carrying out matching analysis on the historical environment and the corrosion state of the power switch cabinet, generating a matching qualified signal, an intrusion risk signal, an environment adjusting signal or an equipment updating signal according to a matching analysis result and sending the matching qualified signal, the intrusion risk signal, the environment adjusting signal or the equipment updating signal to the early warning feedback platform.
As a preferred embodiment of the present invention, the acquisition process of the cyclic deviation coefficient HP includes: generating a monitoring period, acquiring temperature bias data WP, wet bias data SP and pressure bias data YP of a monitoring object in the monitoring period, and performing numerical calculation to obtain a ring bias coefficient HP of the monitoring object; the acquisition process of the temperature deviation data WP comprises the following steps: acquiring an air temperature value and a temperature range in a monitored object, marking an average value of a maximum value and a minimum value of the temperature range as a temperature standard value, and marking an absolute value of a difference value between the air temperature value and the temperature standard value as temperature deviation data WP of the monitored object; the acquisition process of the wet bias data SP includes: acquiring an air humidity value and a humidity range in a monitored object, marking an average value of a maximum value and a minimum value of the humidity range as a humidity standard value, and marking an absolute value of a difference value between the air humidity value and the humidity standard value as humidity deviation data SP; the acquisition process of the bias data YP includes: and acquiring an internal air pressure value and an air pressure range of the monitored object, marking the average value of the maximum value and the minimum value of the air pressure range as an air pressure standard value, and marking the absolute value of the difference value between the air pressure value and the air pressure standard value as pressure deviation data YP.
As a preferred embodiment of the present invention, the specific process of determining whether the environment inside the monitored object meets the requirement includes: the method comprises the steps that a ring bias threshold HPmax is obtained through a storage module, and a ring bias coefficient HP of a monitored object is compared with the ring bias threshold HPmax: if the ring bias coefficient HP is smaller than the ring bias threshold HPmax, judging that the environment inside the monitored object meets the requirement; if the ring deviation coefficient HP is larger than or equal to the ring deviation threshold HPmax, the environment inside the monitored object is judged to be unsatisfied with the requirement, the environment monitoring module sends an environment early warning signal to the early warning feedback platform, and the early warning feedback platform sends the environment early warning signal to a mobile phone terminal of a manager after receiving the environment early warning signal.
As a preferred embodiment of the invention, the specific process of comprehensively analyzing the historical environment monitoring data of the power switch cabinet by the historical analysis module comprises the following steps: marking the maximum value of the ring offset coefficient HP of the monitoring period as the ring offset value of the monitoring period, taking the running time of the monitoring object as the X axis, setting up a rectangular coordinate system with the ring offset value of the monitoring period as the Y axis, taking the middle moment of the monitoring period as the abscissa, taking the ring offset value of the monitoring period as the ordinate, making a plurality of monitoring points in the rectangular coordinate system, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, marking the midpoint of the monitoring line segment with the highest slope value as an oblique high point, marking the monitoring point with the largest ordinate value as the ring high point, connecting the monitoring point at the leftmost side with the oblique high point and the ring high point, simultaneously connecting the oblique high point with the ring high point to obtain a monitoring triangle, marking the area value of the monitoring triangle as the calendar offset value of the monitoring object, and marking the ratio of the calendar offset value to the number of the monitoring period as the calendar offset coefficient of the monitoring object.
As a preferred embodiment of the invention, the specific process of monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet by the corrosion monitoring module comprises the following steps: and (3) image shooting is carried out on the inner wall of the monitored object at the end time of the monitoring period, the shot image is amplified into a pixel grid image, gray level conversion is carried out to obtain a gray level value of the pixel grid, a gray level threshold value is obtained through a storage module, the pixel grid with the gray level value smaller than the gray level threshold value is marked as corrosion grid, the number of the corrosion grid is marked as the corrosion number value of the monitored object, the gray level values of all the corrosion grids are summed and averaged to obtain the corrosion degree value of the monitored object, and the corrosion coefficient of the monitored object is obtained through numerical calculation of the corrosion number value and the corrosion degree value.
As a preferred embodiment of the invention, the specific process of matching analysis of the historical environment and the corrosion state of the power switch cabinet by the matching analysis module comprises the following steps: the calendar bias threshold value and the corrosion threshold value are obtained through the storage module, and the calendar bias coefficient and the corrosion coefficient are compared with the calendar bias threshold value and the corrosion threshold value respectively: if the calendar deviation coefficient is smaller than or equal to the calendar deviation threshold value and the corrosion coefficient is smaller than or equal to the corrosion threshold value, judging that the historical environment of the monitored object is matched with the corrosion state, and sending a matching qualified signal to an early warning feedback platform by a matching analysis module; if the calendar deviation coefficient is smaller than or equal to the calendar deviation threshold value and the corrosion coefficient is larger than the corrosion threshold value, judging that the historical environment of the monitored object is not matched with the corrosion state, and sending an intrusion risk signal to an early warning feedback platform by a matching analysis module; if the calendar bias coefficient is larger than the calendar bias threshold value and the corrosion coefficient is smaller than or equal to the corrosion threshold value, judging that the historical environment of the monitored object is not matched with the corrosion state, and sending an environment adjusting signal to an early warning feedback platform by the matching analysis module; if the calendar bias coefficient is larger than the calendar bias threshold value and the corrosion coefficient is larger than the corrosion threshold value, the historical environment of the monitored object is judged to be matched with the corrosion state, and the matching analysis module sends an equipment updating signal to the early warning feedback platform.
The working method of the power switch cabinet monitoring early warning feedback system based on data analysis comprises the following steps:
step one: monitoring and analyzing the operation environment of the power switch cabinet: generating a monitoring period, marking the power switch cabinet as a monitoring object, acquiring temperature bias data WP, wet bias data SP and pressure bias data YP of the monitoring object in the monitoring period, performing numerical calculation to obtain a ring bias coefficient HP, and judging whether the environment inside the monitoring object meets the requirement or not according to the numerical value of the ring bias coefficient HP;
step two: comprehensively analyzing historical environment monitoring data of the power switch cabinet, obtaining a calendar coefficient of a monitored object, and sending the calendar coefficient to a matching analysis module through an early warning feedback platform;
step three: monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet, obtaining the corrosion coefficient of a monitored object, and sending the corrosion coefficient to a matching analysis module through an early warning feedback platform;
step four: and carrying out matching analysis on the historical environment and the corrosion state of the power switch cabinet, generating a matching qualified signal, an intrusion risk signal, an environment adjusting signal or an equipment updating signal according to a matching analysis result, and sending the matching qualified signal, the intrusion risk signal, the environment adjusting signal or the equipment updating signal to an early warning feedback platform.
The invention has the following beneficial effects:
1. the environment monitoring module can monitor and analyze the operation environment of the power switch cabinet, and the environment parameters inside the switch cabinet are comprehensively analyzed and calculated to obtain the ring deviation coefficient, so that the environment abnormality degree inside the switch cabinet is fed back through the ring deviation coefficient, and the operation safety of the switch cabinet is improved when the environment abnormality occurs;
2. the historical environment monitoring data of the power switch cabinet can be comprehensively analyzed through the historical analysis module, and the calendar coefficient is obtained through analysis processing of the ring offset value of the switch cabinet in each monitoring period, so that the stability of the historical environment monitoring data of the switch cabinet is fed back through the calendar coefficient;
3. the corrosion state of the inner wall of the power switch cabinet can be monitored and analyzed through the corrosion monitoring module, and the corrosion coefficient of a monitored object is obtained through image shooting and data processing, so that the corrosion degree of the inner wall of the switch cabinet is fed back according to the corrosion coefficient, early warning is carried out when the corrosion degree is serious, the possibility of partial discharge of the switch cabinet is reduced, and the operation safety of the switch cabinet is improved;
4. the historical environment and the corrosion state of the power switch cabinet can be subjected to matching analysis through the matching analysis module, and different types of processing signals are generated through comprehensive analysis on the values of the calendar coefficient and the corrosion coefficient, so that the switch cabinet is optimized by adopting targeted processing measures according to the different types of processing signals, and the abnormal processing effect of the switch cabinet is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in FIG. 1, the power switch cabinet monitoring early warning feedback system based on data analysis comprises an early warning feedback platform, wherein the early warning feedback platform is in communication connection with an environment monitoring module, a history analysis module, a corrosion monitoring module, a matching analysis module and a storage module.
The environment monitoring module is used for monitoring and analyzing the operation environment of the power switch cabinet: generating a monitoring period, marking the power switch cabinet as a monitoring object, and acquiring temperature bias data WP, humidity bias data SP and pressure bias data YP of the monitoring object in the monitoring period, wherein the acquiring process of the temperature bias data WP comprises the following steps: acquiring an air temperature value and a temperature range in a monitored object, marking an average value of a maximum value and a minimum value of the temperature range as a temperature standard value, and marking an absolute value of a difference value between the air temperature value and the temperature standard value as temperature deviation data WP of the monitored object; the acquisition process of the wet bias data SP includes: acquiring an air humidity value and a humidity range in a monitored object, marking an average value of a maximum value and a minimum value of the humidity range as a humidity standard value, and marking an absolute value of a difference value between the air humidity value and the humidity standard value as humidity deviation data SP; the acquisition process of the bias data YP includes: acquiring an internal air pressure value and an air pressure range of a monitored object, marking the average value of the maximum value and the minimum value of the air pressure range as an air pressure standard value, and marking the absolute value of the difference value between the air pressure value and the air pressure standard value as pressure deviation data YP; obtaining a ring deviation coefficient HP of the monitored object through a formula HP=α1×WP+α2×SP+α3×YP, wherein the ring deviation coefficient is a numerical value reflecting the normal degree of the internal environment of the monitored object, and the smaller the numerical value of the ring deviation coefficient is, the higher the normal degree of the internal environment of the monitored object is; wherein, alpha 1, alpha 2 and alpha 3 are all proportional coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; the method comprises the steps that a ring bias threshold HPmax is obtained through a storage module, and a ring bias coefficient HP of a monitored object is compared with the ring bias threshold HPmax: if the ring bias coefficient HP is smaller than the ring bias threshold HPmax, judging that the environment inside the monitored object meets the requirement; if the ring deviation coefficient HP is larger than or equal to the ring deviation threshold HPmax, the environment inside the monitored object is judged to be unsatisfied with the requirement, the environment monitoring module sends an environment early warning signal to the early warning feedback platform, and the early warning feedback platform sends the environment early warning signal to a mobile phone terminal of a manager after receiving the environment early warning signal; the operation environment of the power switch cabinet is monitored and analyzed, and the ring deviation coefficient is obtained through comprehensive analysis and calculation of various environment parameters in the switch cabinet, so that the environment abnormality degree in the switch cabinet is fed back through the ring deviation coefficient, the environment abnormality is timely processed when the environment abnormality occurs, and the operation safety of the switch cabinet is improved.
The history analysis module is used for comprehensively analyzing the history environment monitoring data of the power switch cabinet: marking the maximum value of the ring bias coefficient HP of the monitoring period as the ring bias value of the monitoring period, taking the running time of a monitoring object as an X axis, establishing a rectangular coordinate system with the ring bias value of the monitoring period as a Y axis, taking the middle moment of the monitoring period as an abscissa, taking the ring bias value of the monitoring period as an ordinate, making a plurality of monitoring points in the rectangular coordinate system, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, marking the middle point of the monitoring line segment with the highest slope value as an oblique high point, marking the monitoring point with the largest ordinate value as the ring high point, connecting the monitoring point at the leftmost side with the oblique high point and the ring high point, simultaneously connecting the oblique high point with the ring high point to obtain a monitoring triangle, marking the area value of the monitoring triangle as the calendar bias value of the monitoring object, marking the ratio of the calendar bias value to the number of the monitoring period as the calendar bias coefficient of the monitoring object, transmitting the calendar bias coefficient to the early warning feedback platform, and transmitting the calendar bias coefficient to the matching analysis module after receiving the calendar bias coefficient; the historical environment monitoring data of the power switch cabinet are comprehensively analyzed, the calendar coefficient is obtained through analysis processing of the ring offset value of the switch cabinet in each monitoring period, and therefore the stability of the historical environment monitoring data of the switch cabinet is fed back through the calendar coefficient.
The corrosion monitoring module is used for monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet: image shooting is carried out on the inner wall of the monitored object at the end time of the monitoring period, the shot image is amplified into a pixel grid image and gray level conversion is carried out to obtain a gray level value of the pixel grid, a gray level threshold value is obtained through a storage module, the pixel grid with the gray level value smaller than the gray level threshold value is marked as corrosion grid, the number of corrosion grids is marked as corrosion number value FS of the monitored object, the gray level values of all the corrosion grids are summed and averaged to obtain corrosion degree value FC of the monitored object, corrosion coefficient FX of the monitored object is obtained through formula FX=β1FS+β2X of the monitored object, the corrosion coefficient is a numerical value reflecting the corrosion severity of the inner wall of the monitored object, and the greater the numerical value of the corrosion coefficient is, the higher the corrosion severity of the inner wall of the monitored object is indicated; wherein, beta 1 and beta 2 are both proportional coefficients, and beta 1 is more than beta 2 is more than 1; the corrosion monitoring module sends the corrosion coefficient FX of the monitored object to the early warning feedback platform, and the early warning feedback platform sends the corrosion coefficient FX to the matching analysis module after receiving the corrosion coefficient FX; the corrosion state of the inner wall of the power switch cabinet is monitored and analyzed, and the corrosion coefficient of a monitored object is obtained through image shooting and data processing, so that the corrosion degree of the inner wall of the switch cabinet is fed back according to the corrosion coefficient, early warning is carried out when the corrosion degree is serious, the possibility of partial discharge of the switch cabinet is reduced, and the operation safety of the switch cabinet is improved.
The matching analysis module is used for carrying out matching analysis on the historical environment and the corrosion state of the power switch cabinet: the calendar bias threshold value and the corrosion threshold value are obtained through the storage module, and the calendar bias coefficient and the corrosion coefficient are compared with the calendar bias threshold value and the corrosion threshold value respectively: if the calendar deviation coefficient is smaller than or equal to the calendar deviation threshold value and the corrosion coefficient is smaller than or equal to the corrosion threshold value, judging that the historical environment of the monitored object is matched with the corrosion state, and sending a matching qualified signal to an early warning feedback platform by a matching analysis module; if the calendar deviation coefficient is smaller than or equal to the calendar deviation threshold value and the corrosion coefficient is larger than the corrosion threshold value, judging that the historical environment of the monitored object is not matched with the corrosion state, and sending an intrusion risk signal to an early warning feedback platform by a matching analysis module; if the calendar bias coefficient is larger than the calendar bias threshold value and the corrosion coefficient is smaller than or equal to the corrosion threshold value, judging that the historical environment of the monitored object is not matched with the corrosion state, and sending an environment adjusting signal to an early warning feedback platform by the matching analysis module; if the calendar bias coefficient is larger than the calendar bias threshold value and the corrosion coefficient is larger than the corrosion threshold value, judging that the historical environment of the monitored object is matched with the corrosion state, and sending an equipment update signal to the early warning feedback platform by the matching analysis module; the historical environment and the corrosion state of the power switch cabinet are subjected to matching analysis, and the magnitude of the calendar coefficient and the corrosion coefficient is comprehensively analyzed to generate different types of processing signals, so that the switch cabinet is optimized by adopting targeted processing measures according to the different types of processing signals, and the abnormal processing effect of the switch cabinet is improved.
Example two
As shown in fig. 2, the power switch cabinet monitoring and early warning feedback method based on data analysis comprises the following steps:
step one: monitoring and analyzing the operation environment of the power switch cabinet: generating a monitoring period, marking the power switch cabinet as a monitoring object, acquiring temperature bias data WP, wet bias data SP and pressure bias data YP of the monitoring object in the monitoring period, performing numerical calculation to obtain a ring bias coefficient HP, and judging whether the environment inside the monitoring object meets the requirement or not according to the numerical value of the ring bias coefficient HP;
step two: comprehensively analyzing historical environment monitoring data of the power switch cabinet, obtaining a calendar coefficient of a monitored object, and sending the calendar coefficient to a matching analysis module through an early warning feedback platform;
step three: monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet, obtaining the corrosion coefficient of a monitored object, and sending the corrosion coefficient to a matching analysis module through an early warning feedback platform;
step four: and carrying out matching analysis on the historical environment and the corrosion state of the power switch cabinet, generating a matching qualified signal, an intrusion risk signal, an environment adjusting signal or an equipment updating signal according to a matching analysis result, and sending the matching qualified signal, the intrusion risk signal, the environment adjusting signal or the equipment updating signal to an early warning feedback platform.
The power switch cabinet monitoring early warning feedback system based on data analysis generates a monitoring period when in operation, marks the power switch cabinet as a monitoring object, acquires temperature bias data WP, wet bias data SP and pressure bias data YP of the monitoring object in the monitoring period, performs numerical calculation to obtain a ring bias coefficient HP, and judges whether the environment inside the monitoring object meets the requirement or not according to the numerical value of the ring bias coefficient HP; comprehensively analyzing historical environment monitoring data of the power switch cabinet, obtaining a calendar coefficient of a monitored object, and sending the calendar coefficient to a matching analysis module through an early warning feedback platform; monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet, obtaining the corrosion coefficient of a monitored object, and sending the corrosion coefficient to a matching analysis module through an early warning feedback platform; and generating a matching qualified signal, an intrusion risk signal, an environment adjusting signal or a device updating signal through a matching analysis result and sending the matching qualified signal, the intrusion risk signal, the environment adjusting signal or the device updating signal to an early warning feedback platform.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula hp=α1×wp+α2×sp+α3×yp; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding cyclic deviation coefficient for each group of sample data; substituting the set ring offset coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 of 5.47, 3.25 and 2.16 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding circular offset coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the cyclic deviation coefficient is in direct proportion to the value of the temperature deviation data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The power switch cabinet monitoring early warning feedback system based on data analysis is characterized by comprising an early warning feedback platform, wherein the early warning feedback platform is in communication connection with an environment monitoring module, a history analysis module, a corrosion monitoring module, a matching analysis module and a storage module;
the environment monitoring module is used for monitoring and analyzing the operation environment of the power switch cabinet, obtaining a ring deflection coefficient HP of a monitored object, and judging whether the environment inside the monitored object meets the requirement or not according to the numerical value of the ring deflection coefficient HP;
the history analysis module is used for comprehensively analyzing the history environment monitoring data of the power switch cabinet and obtaining the calendar coefficient of the monitored object, the history analysis module sends the calendar coefficient to the early warning feedback platform, and the early warning feedback platform sends the calendar coefficient to the matching analysis module after receiving the calendar coefficient;
the corrosion monitoring module is used for monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet and obtaining the corrosion coefficient of the monitored object, the corrosion monitoring module sends the corrosion coefficient of the monitored object to the early warning feedback platform, and the early warning feedback platform sends the corrosion coefficient to the matching analysis module after receiving the corrosion coefficient;
the matching analysis module is used for carrying out matching analysis on the historical environment and the corrosion state of the power switch cabinet, generating a matching qualified signal, an intrusion risk signal, an environment adjusting signal or an equipment updating signal according to a matching analysis result and sending the matching qualified signal, the intrusion risk signal, the environment adjusting signal or the equipment updating signal to the early warning feedback platform.
2. The data analysis-based power switch cabinet monitoring and early warning feedback system according to claim 1, wherein the acquisition process of the cyclic deviation coefficient HP comprises: generating a monitoring period, acquiring temperature bias data WP, wet bias data SP and pressure bias data YP of a monitoring object in the monitoring period, and performing numerical calculation to obtain a ring bias coefficient HP of the monitoring object; the acquisition process of the temperature deviation data WP comprises the following steps: acquiring an air temperature value and a temperature range in a monitored object, marking an average value of a maximum value and a minimum value of the temperature range as a temperature standard value, and marking an absolute value of a difference value between the air temperature value and the temperature standard value as temperature deviation data WP of the monitored object; the acquisition process of the wet bias data SP includes: acquiring an air humidity value and a humidity range in a monitored object, marking an average value of a maximum value and a minimum value of the humidity range as a humidity standard value, and marking an absolute value of a difference value between the air humidity value and the humidity standard value as humidity deviation data SP; the acquisition process of the bias data YP includes: and acquiring an internal air pressure value and an air pressure range of the monitored object, marking the average value of the maximum value and the minimum value of the air pressure range as an air pressure standard value, and marking the absolute value of the difference value between the air pressure value and the air pressure standard value as pressure deviation data YP.
3. The data analysis-based power switch cabinet monitoring and early warning feedback system according to claim 2, wherein the specific process of determining whether the environment inside the monitored object meets the requirement comprises the following steps: the method comprises the steps that a ring bias threshold HPmax is obtained through a storage module, and a ring bias coefficient HP of a monitored object is compared with the ring bias threshold HPmax: if the ring bias coefficient HP is smaller than the ring bias threshold HPmax, judging that the environment inside the monitored object meets the requirement; if the ring deviation coefficient HP is larger than or equal to the ring deviation threshold HPmax, the environment inside the monitored object is judged to be unsatisfied with the requirement, the environment monitoring module sends an environment early warning signal to the early warning feedback platform, and the early warning feedback platform sends the environment early warning signal to a mobile phone terminal of a manager after receiving the environment early warning signal.
4. The power switch cabinet monitoring and early warning feedback system based on data analysis according to claim 1, wherein the specific process of comprehensively analyzing the historical environment monitoring data of the power switch cabinet by the historical analysis module comprises: marking the maximum value of the ring offset coefficient HP of the monitoring period as the ring offset value of the monitoring period, taking the running time of the monitoring object as the X axis, setting up a rectangular coordinate system with the ring offset value of the monitoring period as the Y axis, taking the middle moment of the monitoring period as the abscissa, taking the ring offset value of the monitoring period as the ordinate, making a plurality of monitoring points in the rectangular coordinate system, sequentially connecting the monitoring points from left to right to obtain a plurality of monitoring line segments, marking the midpoint of the monitoring line segment with the highest slope value as an oblique high point, marking the monitoring point with the largest ordinate value as the ring high point, connecting the monitoring point at the leftmost side with the oblique high point and the ring high point, simultaneously connecting the oblique high point with the ring high point to obtain a monitoring triangle, marking the area value of the monitoring triangle as the calendar offset value of the monitoring object, and marking the ratio of the calendar offset value to the number of the monitoring period as the calendar offset coefficient of the monitoring object.
5. The data analysis-based power switch cabinet monitoring and early warning feedback system according to claim 4, wherein the specific process of monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet by the corrosion monitoring module comprises the following steps: and (3) image shooting is carried out on the inner wall of the monitored object at the end time of the monitoring period, the shot image is amplified into a pixel grid image, gray level conversion is carried out to obtain a gray level value of the pixel grid, a gray level threshold value is obtained through a storage module, the pixel grid with the gray level value smaller than the gray level threshold value is marked as corrosion grid, the number of the corrosion grid is marked as the corrosion number value of the monitored object, the gray level values of all the corrosion grids are summed and averaged to obtain the corrosion degree value of the monitored object, and the corrosion coefficient of the monitored object is obtained through numerical calculation of the corrosion number value and the corrosion degree value.
6. The power switch cabinet monitoring and early warning feedback system based on data analysis according to claim 5, wherein the specific process of matching analysis of the historical environment and corrosion state of the power switch cabinet by the matching analysis module comprises: the calendar bias threshold value and the corrosion threshold value are obtained through the storage module, and the calendar bias coefficient and the corrosion coefficient are compared with the calendar bias threshold value and the corrosion threshold value respectively: if the calendar deviation coefficient is smaller than or equal to the calendar deviation threshold value and the corrosion coefficient is smaller than or equal to the corrosion threshold value, judging that the historical environment of the monitored object is matched with the corrosion state, and sending a matching qualified signal to an early warning feedback platform by a matching analysis module; if the calendar deviation coefficient is smaller than or equal to the calendar deviation threshold value and the corrosion coefficient is larger than the corrosion threshold value, judging that the historical environment of the monitored object is not matched with the corrosion state, and sending an intrusion risk signal to an early warning feedback platform by a matching analysis module; if the calendar bias coefficient is larger than the calendar bias threshold value and the corrosion coefficient is smaller than or equal to the corrosion threshold value, judging that the historical environment of the monitored object is not matched with the corrosion state, and sending an environment adjusting signal to an early warning feedback platform by the matching analysis module; if the calendar bias coefficient is larger than the calendar bias threshold value and the corrosion coefficient is larger than the corrosion threshold value, the historical environment of the monitored object is judged to be matched with the corrosion state, and the matching analysis module sends an equipment updating signal to the early warning feedback platform.
7. The method of operation of a power switch cabinet monitoring and early warning feedback system based on data analysis of any one of claims 1-6, comprising the steps of:
step one: monitoring and analyzing the operation environment of the power switch cabinet: generating a monitoring period, marking the power switch cabinet as a monitoring object, acquiring temperature bias data WP, wet bias data SP and pressure bias data YP of the monitoring object in the monitoring period, performing numerical calculation to obtain a ring bias coefficient HP, and judging whether the environment inside the monitoring object meets the requirement or not according to the numerical value of the ring bias coefficient HP;
step two: comprehensively analyzing historical environment monitoring data of the power switch cabinet, obtaining a calendar coefficient of a monitored object, and sending the calendar coefficient to a matching analysis module through an early warning feedback platform;
step three: monitoring and analyzing the corrosion state of the inner wall of the power switch cabinet, obtaining the corrosion coefficient of a monitored object, and sending the corrosion coefficient to a matching analysis module through an early warning feedback platform;
step four: and carrying out matching analysis on the historical environment and the corrosion state of the power switch cabinet, generating a matching qualified signal, an intrusion risk signal, an environment adjusting signal or an equipment updating signal according to a matching analysis result, and sending the matching qualified signal, the intrusion risk signal, the environment adjusting signal or the equipment updating signal to an early warning feedback platform.
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