CN114383751A - Power grid operation auxiliary analysis system based on wireless passive temperature measurement - Google Patents
Power grid operation auxiliary analysis system based on wireless passive temperature measurement Download PDFInfo
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Abstract
The invention belongs to the technical field of power grid operation analysis, and is used for solving the problem that the conventional power grid operation detection analysis system cannot evaluate the overall operation state and the overall safety performance of a region of a power grid through the node temperature condition, in particular to a power grid operation auxiliary analysis system based on wireless passive temperature measurement, which comprises an auxiliary analysis platform, wherein the auxiliary analysis platform is in communication connection with a data processing module, a temperature analysis module, a maintenance recommendation module and a safety rating module; when the temperature is analyzed, problems possibly occurring in the temperature of the power grid node are checked one by one from multiple angles by adopting three-dimensional analysis, the accuracy of a node temperature monitoring result is improved, early warning can be carried out through an alarm signal at the first time when the node temperature is abnormal, and therefore the numerical accuracy of a subsequent safety rating result and the regional safety coefficient is ensured.
Description
Technical Field
The invention belongs to the technical field of power grid operation analysis, and particularly relates to a power grid operation auxiliary analysis system based on wireless passive temperature measurement.
Background
Safety is a permanent theme of power grid operation, and the 'safety is the first and the prevention is the main' policy followed by power enterprises for a long time, and an effective safety management and risk prevention system is established and is the core content of the safety production of the power enterprises, so that the identification, evaluation and processing of the power grid operation risk are an important subject faced by the power enterprises; grid security risk refers to the uncertainty of grid operational safety, i.e., the combination of factors, the likelihood of occurrence of an event or condition, and the consequences that may affect grid operational safety.
The existing power grid safe operation detection and analysis system can only monitor the temperature of a single node of a power grid, but cannot evaluate the whole operation state of the power grid and the whole safety performance of an area according to the temperature condition of the node, so that the reasonable distribution of resources and manpower to the power grid cannot be carried out according to the whole safety performance of the area.
In view of the above technical problem, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a power grid operation auxiliary analysis system based on wireless passive temperature measurement, which is used for solving the problem that the existing power grid operation detection analysis system cannot evaluate the overall operation state of a power grid and the overall safety performance of a region according to the node temperature condition;
the technical problems to be solved by the invention are as follows: how to provide a power grid operation analysis system capable of evaluating the overall operation state of a power grid and the safety performance of a region through node temperature.
The purpose of the invention can be realized by the following technical scheme:
the power grid operation auxiliary analysis system based on wireless passive temperature measurement comprises an auxiliary analysis platform, wherein the auxiliary analysis platform is in communication connection with a data processing module, a temperature analysis module, a maintenance recommendation module and a safety rating module, the temperature analysis module is in communication connection with the safety rating module, and the safety rating module is in communication connection with an area analysis module;
the data processing module is used for acquiring data and sending the acquired data to the auxiliary analysis platform;
the temperature analysis module is used for analyzing the temperature of the key node of the power grid through the data acquired by the data processing module and sending the temperature coefficient and the temperature difference coefficient of the power grid obtained through analysis to the auxiliary analysis platform;
after receiving the standard analysis result, the safety rating module performs rating analysis on the operation safety state of the power grid;
and the region analysis module analyzes the safety performance of the regional power grid after receiving the safety rating result to obtain the safety coefficient of the regional power grid, and marks the region with the safety coefficient smaller than the safety coefficient threshold as a risk region.
Further, the temperature analysis process of the key nodes of the power grid comprises the following steps:
step S1: acquiring a key node of a power grid and marking the key node as a node i, wherein i is 1, 2, …, n and n are positive integers, acquiring a temperature value of the node i in real time, marking the temperature value of the node i as a node temperature WDi, comparing the node temperature WDi with a temperature threshold value WDmax one by one, marking a corresponding node as a dangerous node if a node WDi which is not less than the WDmax exists, marking the running state of the power grid as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; if WDi is all smaller than WDmax, marking the operation state of the power grid as pending;
step S2: heating up and detecting the power grid with an undetermined operation state, marking a temperature value of a node i two minutes before as WDie, marking a difference value of WDi and WDie as a node temperature difference WCi, comparing the node temperature difference WCi with a temperature difference threshold WCmax one by one, marking a corresponding node as a dangerous node if a node WCi is not less than the WCmax, marking the power grid operation state as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; if WCi is less than WCmax, proceeding to next step;
step S3: analyzing the node temperature difference of the power grid to obtain a node difference JCi of a power grid node i, comparing the node difference JCi with a node difference threshold JCmax one by one, if a node with the JCi value not less than the JCmax exists, marking the corresponding node and two nodes adjacent to the corresponding node as dangerous nodes, marking the running state of the power grid as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; and if JCi is all smaller than JCmax, the power grid running state is judged to be safe.
Further, the acquisition process of the section difference JCi in the step S3 includes:
establishing a rectangular coordinate system by taking the distance value as an X axis and the temperature difference value of adjacent nodes as a Y axis, making two line segments in the rectangular coordinate system by taking the original point of the rectangular coordinate system as an endpoint, wherein the coordinate value of the second endpoint of the first line segment is (X1, Y1), the value of X1 is the distance value between the node i and the node i-1, and the value of Y1 is the temperature difference value between the node i and the node i-1; the second endpoint coordinate value of the second line segment is (X2, Y2), X2 is the distance value between the node i and the node i +1, Y2 is the temperature difference value between the node i and the node i +1, and the angle value of the included angle between the two line segments is marked as the node difference JCi.
Further, the standard analysis result is sent to the auxiliary analysis platform in the form of Bdc, wherein B represents the number of the power grid, d represents the temperature coefficient of the corresponding power grid, and c represents the temperature difference coefficient of the corresponding power grid; and the auxiliary analysis platform receives the standard analysis result and then sends the standard analysis result to the safety rating module.
Further, the specific process of the safety rating module for rating and analyzing the operation safety state of the power grid includes:
selecting a plurality of power grids as rating power grids, analyzing the temperature coefficient and the temperature difference coefficient of the rating power grids to obtain a rating coefficient PJx of the rating power grids, comparing the rating coefficient PJx with the rating coefficients PJmin and PJmax, and judging the safety levels of the rating power grids according to the comparison results.
Further, the comparison process between the rating coefficient PJx and the rating coefficients PJmin and PJmax is:
if PJx is less than PJmin, the safety level of the power grid is judged to be three;
if the PJmin is less than or equal to PJx and less than or equal to PJmax, judging the security level of the power grid to be a second level;
and if the PJ is larger than the PJmax, judging the safety level of the power grid to be a first level.
Further, the process of acquiring the safety factor comprises the following steps: and performing region division, marking the number of the rated power grids with the three-level safety level in the region as s3, marking the number of the rated power grids with the two-level safety level in the region as s2, marking the number of the rated power grids with the one-level safety level in the region as s1, and calculating and analyzing s3, s2 and s1 to obtain the safety factor of the region.
Further, the auxiliary analysis platform receives the alarm signal and then sends the alarm signal to the maintenance recommendation module, and after the maintenance recommendation module receives the alarm signal, the maintenance recommendation module screens out recommenders through the geographic positions, the working years and the half-year maintenance execution times of the maintenance personnel and sends the identity information of the recommenders to the auxiliary analysis platform.
Further, the identity information of the maintenance personnel includes: name, age, mobile phone number, working year, and maintenance execution times within half a year of the maintenance worker.
The invention has the following beneficial effects:
1. the temperature analysis module analyzes the temperature data of the nodes, analyzes the temperature value of a single node, the heating speed of the single node and the temperature difference of adjacent nodes one by one, generates an alarm signal aiming at the condition that the node temperature does not meet the standard, the maintenance recommendation module receives the alarm signal and then screens out the most appropriate maintainers for recommendation through the geographical position of the maintainers and historical maintenance data, the safety rating module is adopted to judge the safety level of the power grid under the condition that all nodes of the power grid meet the standard, the area analysis module analyzes the quantity of the power grid of each safety level to obtain a risk area, the risk area has higher risk of safety accidents relative to a normal area, and therefore maintenance resources and manpower can be reasonably distributed according to the safety coefficient of the area;
2. the problem that the power grid node temperature is possible to appear is checked one by one from multiple angles by adopting three-dimensional analysis during temperature analysis, the accuracy of a node temperature monitoring result is improved, early warning can be carried out through an alarm signal in the first time when the node temperature is abnormal, and meanwhile, all the node temperatures of the power grid for carrying out safety rating analysis are guaranteed to be in a normal state by a multi-angle checking mode, so that the numerical accuracy of a subsequent safety rating result and the regional safety coefficient is guaranteed.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of the present invention;
FIG. 2 is a schematic block diagram of embodiment 1 of the present invention;
fig. 3 is a schematic block diagram of embodiment 2 of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the power grid operation auxiliary analysis system based on wireless passive temperature measurement comprises an auxiliary analysis platform, wherein the auxiliary analysis platform is in communication connection with a data processing module, a temperature analysis module, a maintenance recommendation module and a safety rating module, the temperature analysis module is in communication connection with the safety rating module, the safety rating module is also in communication connection with an area analysis module, and the data processing module is used for collecting temperature data of key nodes of a power grid.
The data processing module comprises a collector, a collector antenna, a sensor and a sensor antenna, wherein the collector emits an excitation signal, the collector antenna transmits a signal emitted by the collector to the sensor antenna, the sensor antenna receives the excitation signal emitted by the collector through the antenna, the sensor modulates a temperature signal and sends the temperature signal back to the collector through the sensor antenna, the collector reads temperature information, and the temperature data of the node is wirelessly and passively collected through a surface acoustic wave technology.
Example 1
As shown in fig. 2, the temperature analysis module is configured to analyze the temperature data collected by the data processing module, and the specific analysis process includes:
the method comprises the steps of monitoring the temperature of a single node in real time, obtaining a key node of a power grid and marking the key node as a node i, wherein i is a positive integer, 2, …, n and n are integers, obtaining the temperature value of the node i in real time, marking the temperature value of the node i as a node temperature WDi, comparing the node temperature WDi with a temperature threshold value WDmax one by one, marking a corresponding node as a dangerous node if a node WDi which is not less than the WDmax exists and indicates that the temperature of the node is higher than the temperature threshold value, and marking the running state of the power grid as dangerous, wherein a temperature analysis module sends an alarm signal to an auxiliary analysis platform; if WDi is all smaller than WDmax, the operation state of the power grid is marked to be determined, and the operation state is that the temperature values of all nodes of the power grid to be determined are all smaller than a temperature threshold value;
and performing heating detection on the power grid with the undetermined running state, wherein the heating detection process comprises the following steps:
marking a temperature value of a node i two minutes before as WDie, marking a difference value between WDi and WDie as a node temperature difference WCi, wherein the value of WCi is a temperature rise value of the node i within two minutes, comparing the node temperature difference WCi with a temperature difference threshold value WCmax one by one, if a node WCi is not smaller than the WCmax, indicating that the temperature rise speed of the node does not meet the standard, marking a corresponding node as a dangerous node, marking the running state of a power grid as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; if WCi is all smaller than WCmax, the heating speed of all nodes of the to-be-determined power grid meets the standard, and node temperature difference analysis is carried out on the power grid;
the specific process of the node temperature difference analysis comprises the following steps:
establishing a rectangular coordinate system by taking the distance value as an X axis and the temperature difference value of adjacent nodes as a Y axis, making two line segments in the rectangular coordinate system by taking the original point of the rectangular coordinate system as an endpoint, wherein the coordinate value of the second endpoint of the first line segment is (X1, Y1), the value of X1 is the distance value between the node i and the node i-1, and the value of Y1 is the temperature difference value between the node i and the node i-1; the coordinate value of a second endpoint of the second line segment is (X2, Y2), the value of X2 is the distance value between the node i and the node i +1, the value of Y2 is the temperature difference value between the node i and the node i +1, the angle value of an included angle between the two line segments is marked as a node difference JCi, the value of the node difference JCi represents the temperature difference value between the detection node and the previous node and the next node, the temperature difference between the detection nodes is reflected by the value of the node difference JCi, after the power grid node is subjected to temperature analysis and temperature rise analysis, the temperature difference between the nodes is monitored, and the accuracy of the node temperature detection result is ensured through multi-angle detection;
comparing the section difference JCi with a section difference threshold value JCmax one by one, if a node JCi not less than the JCmax exists, indicating that a node which does not meet the internode temperature difference standard exists, marking the corresponding node and two nodes adjacent to the corresponding node as dangerous nodes, marking the running state of the power grid as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; if JCi is smaller than JCmax, the power grid running state is judged to be safe, the power grid running state is safe, the alarm signal can be sent at the first time when the node temperature is abnormal through multi-angle triple temperature detection, more serious safety accidents are avoided, and the safety of the power grid running state is improved.
The power grid with safe operation state is subjected to standard analysis, a temperature coefficient WDx and a temperature difference coefficient WCx are obtained through a node temperature WDi of a node i and a node temperature difference WCi, and a calculation formula of the temperature coefficient WDx is
It should be noted that the temperature coefficient WDx is a numerical value representing the deviation degree of the temperature of each node of the power grid from the temperature threshold, and the larger the numerical value of the temperature coefficient WDx is, the higher the deviation degree of the temperature of each node of the power grid from the temperature threshold is, the higher the operation safety performance of the power grid is, and the calculation formula of the temperature difference coefficient DCx is as follows
It should be noted that the temperature difference coefficient WCx is a numerical value representing the deviation degree of the node temperature difference of each node of the power grid and the temperature difference threshold, the larger the numerical value of the temperature difference coefficient WCx is, the higher the deviation degree of the node temperature difference of each node of the power grid and the temperature difference threshold is, that is, the lower the temperature rise speed of each node of the power grid is, the higher the operation safety performance of the power grid is, wherein α 1 and α 2 are proportionality coefficients, α 1 is greater than 1, and α 2 is greater than 1, and the standard analysis result of the power grid is sent to the auxiliary analysis platform in the form of Bdc, wherein B represents the number of the power grid, d represents the temperature coefficient WDx of the corresponding power grid, and c represents the temperature difference coefficient WCx of the corresponding power grid; the auxiliary analysis platform receives the standard analysis result and then sends the standard analysis result to the safety rating module, and the standard analysis result is sent in the form of Bdc, so that the power grid number in the running state can be bound with the temperature coefficient and the temperature difference coefficient to be sent, and data storage and retrieval are facilitated;
and after receiving the standard analysis result, the safety rating module performs rating analysis on the operation safety state of the power grid, wherein the rating analysis process comprises the following steps:
selecting a plurality of power grids as rating power grids, and obtaining rating coefficients PJx of the rating power grids through a formula PJx ═ β 1 × WDx + β 2 × WCx, wherein the rating coefficients are numerical values representing the safety performance of the operation state of the rating power grids, and the higher the numerical value of the rating coefficient is, the better the safety performance of the rating power grids is, wherein β 1 and β 2 are proportionality coefficients, and β 1 is greater than β 2 and greater than 0; the rating coefficient PJx is compared with the rating coefficients PJmin, PJmax:
if PJx is less than PJmin, the safety level of the power grid is judged to be three;
if the PJmin is less than or equal to PJx and less than or equal to PJmax, judging the security level of the power grid to be a second level;
if the PJ is larger than the PJmax, the safety level of the power grid is judged to be a first level;
the safety rating module sends a safety rating result of the rated power grid to the auxiliary analysis platform and the regional analysis module in a BS (base station) form, wherein B represents the number of the power grid, and S is the safety level of the power grid;
the regional analysis module analyzes the regional power grid safety performance after receiving the safety rating result, and the power grid safety performance analysis process comprises the following steps:
performing region division, marking the number of the rated power grids with the security level of three in the region as s3, marking the number of the rated power grids with the security level of two in the region as s2, marking the number of the rated power grids with the security level of one in the region as s1, and performing formula processing
Obtaining a safety factor AQx of the region, wherein the safety factor is a numerical value representing the overall safety performance of the rating power grid in the region, the higher the numerical value of the safety factor is, the better the overall safety performance of the rating power grid in the region is, wherein gamma is a proportionality coefficient, and gamma is greater than 1; areas where the safety factor AQx is less than the safety threshold AQmin are marked as risk areas.
Example 2
As shown in fig. 3, the auxiliary analysis platform sends the alarm signal to the maintenance recommendation module after receiving the alarm signal, the maintenance recommendation module carries out the maintenance personnel recommendation on the dangerous node after receiving the alarm signal, and the specific process of the maintenance personnel recommendation includes:
acquiring the position of a dangerous node, marking the position of the dangerous node as a maintenance place, drawing a circle by taking the maintenance place as the center of the circle and r as the radius, marking the obtained circular area as a primary selection area, acquiring the geographical positions of all maintenance personnel in the primary selection area, and marking the linear distance between the geographical position of the maintenance personnel in the primary selection area and the maintenance place as ZL; acquiring the identity information of maintainers in the primary selection area, wherein the identity information of the maintainers comprises: name, age, mobile phone number, working age and maintenance execution times within half a year of maintainers; marking the working years and the maintenance execution times of the maintainers in half a year as CN and ZC respectively, and analyzing the appropriate degree of the maintainers for the node maintenance according to the working years, the maintenance execution times of the maintainers in half a year and the current geographic position of the maintainers;
by the formula
Obtaining a recommendation coefficient TJx of the maintainers, wherein the recommendation coefficient is a numerical value of the matching degree between the maintainer and the node maintenance at this time, and the higher the recommendation coefficient is, it indicates that the corresponding maintainer is about to be suitable for performing the node maintenance at this time, where θ 1, θ 2, and θ 3 are proportionality coefficients, and θ 1 > θ 2 > θ 3, selecting three maintainers with the largest recommendation coefficients in the primary selection area as primary selectors, marking the maintainer with the smallest ZL value among the primary selectors as the recommender, and sending the identity information of the recommender to an auxiliary analysis platform, so that the recommender can reach the position of a dangerous node at the first time, and meanwhile, the possibility of successful maintenance is also improved.
When the power grid operation auxiliary analysis system based on wireless passive temperature measurement works, firstly, the temperature data of the nodes are analyzed through the temperature analysis module, the temperature value of a single node, the temperature rise speed of the single node and the temperature difference of adjacent nodes are analyzed one by one, an alarm signal is generated aiming at the condition that the node temperature does not meet the standard, the maintenance recommendation module receives the alarm signal and then screens out the most appropriate maintenance personnel for recommendation through the geographical position of the maintenance personnel and historical maintenance data, the safety rating module is adopted to judge the safety levels of the power grid under the condition that all nodes of the power grid meet the standard, the area analysis module analyzes the quantity of the power grid of each safety level to obtain a risk area, the risk of safety accidents occurring in the risk area is higher than that in a normal area, and therefore maintenance resources and manpower can be reasonably distributed according to the safety coefficient of the area.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula PJx ═ β 1 × WDx + β 2 × WCx; collecting multiple groups of sample data and setting a corresponding rating coefficient for each group of sample data by a person skilled in the art; substituting the set rating coefficient and the collected sample data into formulas, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of beta 1 and beta 2 which are respectively 1.95 and 1.47;
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 a corresponding rating coefficient is preliminarily set for each group of sample data by a person skilled in the art; it is sufficient that the proportional relationship between the parameter and the quantized value is not affected, for example, the rating coefficient is proportional to the value of the temperature coefficient.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to 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 invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. 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 to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. The power grid operation auxiliary analysis system based on wireless passive temperature measurement comprises an auxiliary analysis platform and is characterized in that the auxiliary analysis platform is in communication connection with a data processing module, a temperature analysis module, a maintenance recommendation module and a safety rating module, the temperature analysis module is in communication connection with the safety rating module, and the safety rating module is in communication connection with an area analysis module;
the data processing module is used for acquiring data and sending the acquired data to the auxiliary analysis platform;
the temperature analysis module is used for analyzing the temperature of the key node of the power grid through the data acquired by the data processing module and sending the temperature coefficient and the temperature difference coefficient of the power grid obtained through analysis to the auxiliary analysis platform;
after receiving the standard analysis result, the safety rating module performs rating analysis on the operation safety state of the power grid;
and the region analysis module analyzes the safety performance of the regional power grid after receiving the safety rating result to obtain the safety coefficient of the regional power grid, and marks the region with the safety coefficient smaller than the safety coefficient threshold as a risk region.
2. The power grid operation auxiliary analysis system based on wireless passive temperature measurement as claimed in claim 1, wherein the temperature analysis process of the key nodes of the power grid comprises the following steps:
step S1: acquiring a key node of a power grid and marking the key node as a node i, wherein i is 1, 2, …, n and n are positive integers, acquiring a temperature value of the node i in real time, marking the temperature value of the node i as a node temperature WDi, comparing the node temperature WDi with a temperature threshold value WDmax one by one, marking a corresponding node as a dangerous node if a node WDi which is not less than the WDmax exists, marking the running state of the power grid as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; if WDi is all smaller than WDmax, marking the operation state of the power grid as pending;
step S2: heating up and detecting the power grid with an undetermined operation state, marking a temperature value of a node i two minutes before as WDie, marking a difference value of WDi and WDie as a node temperature difference WCi, comparing the node temperature difference WCi with a temperature difference threshold WCmax one by one, marking a corresponding node as a dangerous node if a node WCi is not less than the WCmax, marking the power grid operation state as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; if WCi is less than WCmax, proceeding to next step;
step S3: analyzing the node temperature difference of the power grid to obtain a node difference JCi of a power grid node i, comparing the node difference JCi with a node difference threshold JCmax one by one, if a node with the JCi value not less than the JCmax exists, marking the corresponding node and two nodes adjacent to the corresponding node as dangerous nodes, marking the running state of the power grid as dangerous, and sending an alarm signal to an auxiliary analysis platform by a temperature analysis module; and if JCi is all smaller than JCmax, the power grid running state is judged to be safe.
3. The power grid operation auxiliary analysis system based on wireless passive temperature measurement as claimed in claim 2, wherein the obtaining process of the section difference JCi in the step S3 includes:
establishing a rectangular coordinate system by taking the distance value as an X axis and the temperature difference value of adjacent nodes as a Y axis, making two line segments in the rectangular coordinate system by taking the original point of the rectangular coordinate system as an endpoint, wherein the coordinate value of the second endpoint of the first line segment is (X1, Y1), the value of X1 is the distance value between the node i and the node i-1, and the value of Y1 is the temperature difference value between the node i and the node i-1; the second endpoint coordinate value of the second line segment is (X2, Y2), X2 is the distance value between the node i and the node i +1, Y2 is the temperature difference value between the node i and the node i +1, and the angle value of the included angle between the two line segments is marked as the node difference JCi.
4. The power grid operation auxiliary analysis system based on wireless and passive temperature measurement as claimed in claim 1, wherein the standard analysis result is sent to the auxiliary analysis platform in the form of Bdc, wherein B represents the number of the power grid, d represents the temperature coefficient of the corresponding power grid, and c represents the temperature difference coefficient of the corresponding power grid; and the auxiliary analysis platform receives the standard analysis result and then sends the standard analysis result to the safety rating module.
5. The power grid operation auxiliary analysis system based on wireless passive temperature measurement as claimed in claim 3, wherein the specific process of the safety rating module for rating and analyzing the operation safety state of the power grid comprises:
selecting a plurality of power grids as rating power grids, analyzing the temperature coefficient and the temperature difference coefficient of the rating power grids to obtain a rating coefficient PJx of the rating power grids, comparing the rating coefficient PJx with the rating coefficients PJmin and PJmax, and judging the safety levels of the rating power grids according to the comparison results.
6. The power grid operation auxiliary analysis system based on wireless passive temperature measurement as claimed in claim 5, wherein the comparison process between the rating coefficient PJx and the rating coefficients PJmin and PJmax is as follows:
if PJx is less than PJmin, the safety level of the power grid is judged to be three;
if the PJmin is less than or equal to PJx and less than or equal to PJmax, judging the security level of the power grid to be a second level;
and if the PJ is larger than the PJmax, judging the safety level of the power grid to be a first level.
7. The power grid operation auxiliary analysis system based on wireless passive temperature measurement as claimed in claim 6, wherein the obtaining process of the safety factor comprises: and performing region division, marking the number of the rated power grids with the three-level safety level in the region as s3, marking the number of the rated power grids with the two-level safety level in the region as s2, marking the number of the rated power grids with the one-level safety level in the region as s1, and calculating and analyzing s3, s2 and s1 to obtain the safety factor of the region.
8. The power grid operation auxiliary analysis system based on wireless and passive temperature measurement according to claim 7, wherein the auxiliary analysis platform receives the alarm signal and then sends the alarm signal to the maintenance recommendation module, and after the maintenance recommendation module receives the alarm signal, the maintenance recommendation module screens out recommenders through the geographical position, the working year and the half-year maintenance execution times of the maintenance personnel and sends identity information of the recommenders to the auxiliary analysis platform.
9. The power grid operation auxiliary analysis system based on wireless passive temperature measurement as claimed in claim 8, wherein the identity information of maintenance personnel comprises: name, age, mobile phone number, working year, and maintenance execution times within half a year of the maintenance worker.
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