CN114184229A - Switch cabinet operation environment monitoring system - Google Patents
Switch cabinet operation environment monitoring system Download PDFInfo
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- CN114184229A CN114184229A CN202111462785.0A CN202111462785A CN114184229A CN 114184229 A CN114184229 A CN 114184229A CN 202111462785 A CN202111462785 A CN 202111462785A CN 114184229 A CN114184229 A CN 114184229A
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Abstract
The invention belongs to the field of electrical equipment, relates to an operation monitoring technology, and is used for solving the problem that the existing switch cabinet environment monitoring system cannot carry out deep analysis on the operation state and the service life stage of a switch cabinet through an environment detection result, in particular to a switch cabinet operation environment monitoring system which comprises a monitoring platform, wherein the monitoring platform is in communication connection with an environment detection module, a safety monitoring module, a safety early warning module, an operation rating module and a service life analysis module; the environment detection module is used for detecting and analyzing the working environment of the switch cabinet through the environment data and sending an environment abnormal signal to the monitoring platform when the environment is abnormal.
Description
Technical Field
The invention belongs to the field of electrical equipment, relates to an operation monitoring technology, and particularly relates to a switch cabinet operation environment monitoring system.
Background
The switch cabinet is an electrical device, the external line of the switch cabinet firstly enters a main control switch in the cabinet and then enters a branch control switch, and each branch is arranged according to the requirement. Such as meters, automatic controls, magnetic switches of motors, various alternating current contactors, and the like, some of which are also provided with high-voltage chambers and low-voltage chamber switch cabinets, and high-voltage buses, such as power plants, and some of which are also provided with low-frequency load shedding for keeping main equipment.
The existing electrical equipment environment monitoring system can only analyze and calculate the operation parameters of the electrical equipment, so that whether the current operation environment of the electrical equipment is qualified or not is judged through the analysis and calculation result; if the invention patent with the publication number of CN108759937A discloses a microenvironment monitoring device and system applied to a switch cabinet, the microenvironment monitoring device and system applied to the switch cabinet can detect the smoke concentration in the environment of the switch cabinet, and after comparing the smoke concentration with a standard smoke value, a user end can know the using environment of the switch cabinet in real time, so that the user end can adjust the switch cabinet in time when the smoke concentration is too high, thereby ensuring the normal use of the switch cabinet, and being convenient and fast; however, the microenvironment monitoring system can only analyze the current service environment according to the collected environmental parameters, and cannot perform deep analysis on the operation state and the service life of the switch cabinet according to the environmental analysis result.
Disclosure of Invention
The invention aims to provide a switch cabinet operation environment monitoring system, which is used for solving the problem that the existing switch cabinet environment monitoring system cannot carry out deep analysis on the operation state and the service life of a switch cabinet through an environment detection result;
the technical problems to be solved by the invention are as follows: how to provide an environmental monitoring system that can carry out deep analysis to the running state and the life stage of cubical switchboard through environmental analysis result.
The purpose of the invention can be realized by the following technical scheme:
a switch cabinet operation environment monitoring system comprises a monitoring platform, wherein the monitoring platform is in communication connection with an environment detection module, a safety monitoring module, a safety early warning module, an operation rating module and a service life analysis module;
the environment detection module is used for detecting and analyzing the working environment of the switch cabinet through environment data and sending an environment abnormal signal to the monitoring platform when the environment is abnormal;
the safety monitoring module is used for detecting and analyzing the internal operation safety of the switch cabinet and sending a current abnormal signal to the monitoring platform when the current change is abnormal;
the monitoring platform receives the current abnormal signal and then sends the current abnormal signal to the safety early warning module, and the safety early warning module conducts early warning analysis on the operation safety of the switch cabinet and sends a safety early warning signal to the monitoring platform when potential safety hazards exist in the switch cabinet;
the operation rating module is used for analyzing and rating the current operation state of the switch cabinet to obtain a state coefficient, and judging the operation state grade of the switch cabinet to be one grade, two grades or three grades according to the comparison result of the state coefficient and a state threshold value;
the service life analysis module is used for detecting and analyzing the service life of the switch cabinet with the operation state grade of three, and sending a service life early warning signal to the monitoring platform when the residual service life of the switch cabinet enters an early warning stage.
Further, the specific process of the environment detection module for detecting and analyzing the working environment of the switch cabinet comprises the following steps: acquiring a temperature value of the air inside the switch cabinet and a temperature value of the outer surface of the cabinet body, summing and averaging to obtain an annular temperature value HW, acquiring a humidity value of the air inside the switch cabinet and a humidity value of the air outside the switch cabinet, summing and averaging to obtain an annular humidity value HS, acquiring a smoke concentration value of the air outside the switch cabinet and marking as an annular smoke value YW; obtaining an environmental coefficient HJ of the switch cabinet by a formula HJ ═ alpha 1 × HW + alpha 2 × HS + alpha 3 × YW, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; comparing the environmental coefficient HJ with an environmental threshold HJmax: if the environment coefficient HJ is larger than or equal to the environment threshold value HJmax, judging that the working environment of the switch cabinet does not meet the requirement, and sending an environment abnormal signal to the monitoring platform by the environment detection module; and if the environment coefficient HJ is smaller than the environment threshold value HJmax, judging that the working environment of the switch cabinet meets the requirement, and sending an environment normal signal to the monitoring platform by the environment detection module.
Further, the specific process of safety monitoring analysis includes: the method comprises the steps of obtaining the current value of a power supply circuit of the switch cabinet in real time, marking the current value as DL, marking the difference value between the maximum current value and the minimum current value within L1 seconds as an electrical variable value DB, wherein L1 is a time constant, comparing the electrical variable value DB with an electrical variable threshold value DBmax, and if the electrical variable value DB is larger than or equal to the electrical variable threshold value DBmax, judging that the current change of the power supply circuit of the switch cabinet is abnormal, and sending a current abnormal signal to a monitoring platform by a safety monitoring module; and if the electrical transformation value DB is smaller than the electrical transformation threshold value DBmax, judging that the current change of the switch cabinet power supply circuit is normal, and sending a normal current signal to the processor by the safety monitoring module.
Further, the specific process of the switch cabinet operation safety early warning analysis comprises the following steps: acquiring an electrical transformation value DB of a power supply circuit of a switch cabinet and a loop temperature value HW of the switch cabinet, and obtaining an early warning coefficient YJ of the switch cabinet through a formula YJ ═ beta 1 × DB + beta 2 × HW, wherein beta 1 and beta 2 are proportional coefficients, and beta 1 is more than beta 2 and more than 0; comparing the early warning coefficient YJ with an early warning threshold YJmax: if the early warning coefficient YJ is larger than or equal to the early warning threshold YJmax, comparing: if the early warning coefficient YJ is smaller than the early warning threshold YJmax, the operation safety of the switch cabinet is judged, and a safety early warning module sends a safety signal to the monitoring platform; and if the early warning coefficient YJ is larger than or equal to the early warning threshold YJmax, judging that potential safety hazards exist in the switch cabinet, and sending a safety early warning signal to the monitoring platform by the safety early warning module.
Further, the specific operation state analysis rating process includes: marking the frequency of the monitoring platform receiving the environment abnormal signal as HY, marking the frequency of the monitoring platform receiving the current abnormal signal as DY, and marking the frequency of the monitoring platform receiving the safety early warning signal as AY; the formula ZT is a1 × HY + a2 × DY + a3 × AY, wherein a1, a2 and a3 are all proportionality coefficients, and a3 > a1 > a2 > 0; and comparing the state coefficient ZT with state threshold values ZTmin and ZTmax, wherein ZTmin is a minimum state threshold value, and ZTmax is a maximum state threshold value.
Further, the comparing process of the state coefficient ZT and the state threshold ZTmin, ZTmax includes:
if ZT is less than or equal to ZTmin, judging the operation state grade of the switch cabinet to be a grade;
if ZTmin is more than ZT and less than ZTmax, judging the operating state grade of the switch cabinet to be a second grade;
and if ZT is larger than or equal to ZTmax, judging the operation state grade of the switch cabinet to be three grades.
Further, the service life analysis module is used for detecting and analyzing the service life of the switch cabinet with the operation state grade of three, and the specific service life detection and analysis process comprises the following steps: the environment coefficient of the switch cabinet in the last five months is marked as HJt, the pH value of the switch cabinet in the last five months is marked as PHt, wherein t is 1, 2, …, 5 and HJt represent the average value of the environment coefficients of the switch cabinet in the current month for environment detection analysis, PHt represents the average value of the pH value of the switch cabinet in the current month for environment detection analysis, and the formula is used for solving the problems that the prior art is poor in stability and the like
Obtaining Kt, establishing a rectangular coordinate system, drawing five line segments in a second quadrant of the rectangular coordinate system by taking the origin as a first endpoint, HJt as a length value and Kt as a slope, and enabling the five line segmentsThe other end points are sequentially connected to obtain a pentagon, the area of the pentagon is marked as MJ, and the life coefficient SM of the switch cabinet is obtained through a formula SM (gamma/MJ), wherein gamma is a proportionality coefficient and is more than 1; acquiring a service life threshold SMmin, and comparing the service life coefficient SM with the service life threshold SMmin: if the service life coefficient SM is less than or equal to the service life threshold SMmin, judging that the residual service life of the switch cabinet enters an early warning stage, and sending a service life early warning signal to a monitoring platform by a service life analysis module; and if the service life coefficient SM is greater than the service life threshold SMmin, judging that the residual service life of the switch cabinet is in a normal stage, and sending a service life normal signal to the monitoring platform by the service life analysis module.
Further, the obtaining process of the life threshold includes: selecting the scrapped switch cabinets as material-taking objects, taking five switch cabinets with the shortest service life in the material-taking objects as analysis objects, carrying out life state analysis on the analysis objects for five months before scrapping to obtain life coefficients of the analysis objects, summing the life coefficients of the five analysis objects to obtain an average life standard value SB, and obtaining a life threshold value SMmin through a formula SMmin x SB, wherein c is a proportionality coefficient, and the value range of c is more than or equal to 1.15 and less than or equal to 1.2.
Further, the working method of the switch cabinet operation environment monitoring system comprises the following steps:
the method comprises the following steps: the environment detection module detects and analyzes the working environment of the switch cabinet through environment data to obtain an environment coefficient, and judges whether the environment is abnormal or not through a comparison result of the environment coefficient and an environment threshold value;
step two: the safety monitoring module is used for detecting and analyzing the internal operation safety of the switch cabinet and performing safety early warning analysis on the switch cabinet by adopting the safety early warning module when the current of a power supply circuit of the switch cabinet is abnormal;
step three: the operation rating module calculates the times of environment abnormal signals, current abnormal signals and safety early warning signals received by the monitoring platform to obtain a state coefficient, and judges the operation state of the switch cabinet to be a first level, a second level or a third level according to the comparison result of the state coefficient and a state threshold;
step four: and the service life analysis module is used for detecting and analyzing the service life state of the switch cabinet with the three-level operation state, obtaining a service life coefficient and sending a service life early warning signal to the monitoring platform when the residual service life of the switch cabinet enters an early warning stage.
The invention has the following beneficial effects:
1. the environment detection module can be used for obtaining the environment coefficient of the switch cabinet by combining the temperature data, the humidity data and the smoke data, and reflecting the abnormal degree of the operation environment of the switch cabinet on the whole through the environment coefficient, so that the abnormal degree can be fed back in time when the environment is abnormal, a manager can adjust the environment as soon as possible, the operation environment of the switch cabinet can meet the use requirement, and the service life of the switch cabinet is prolonged;
2. the safety monitoring module and the safety early warning module are combined with the current value and the temperature data of the power supply circuit of the switch cabinet to perform safety analysis, the current change value of the power supply circuit of the switch cabinet is monitored in real time, and safety detection is performed in time when the current change is abnormal, so that the probability of safety accidents of the switch cabinet is reduced, and the edible safety of the switch cabinet is improved;
3. the current operation state of the switch cabinet can be detected and analyzed by combining historical data of environment monitoring and safety detection through the operation grading module, so that the operation state grade of the switch cabinet is evaluated according to a state monitoring and analyzing result, and the operation state grade of the switch cabinet is used for reflecting the abnormal frequency of the switch cabinet;
4. the service life analysis early warning is carried out on the switch cabinet with the operation state grade of three grades through the service life analysis module, the service life coefficient is obtained by combining the environment data of the switch cabinet for nearly five months and the acid-base data calculation, the residual service life of the switch cabinet is fed back according to the service life coefficient, meanwhile, the service life threshold value is obtained by calculating the historical operation data of the scrapped switch cabinet, the current operation state and the service life stage of the switch cabinet are judged according to the practical application condition, the accuracy of the service life analysis result is ensured, the service life early warning is timely replaced when the service life early warning occurs, and the whole influence of the aging and scrapping of the switch cabinet on an electrical system is reduced to the minimum.
Drawings
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 system block diagram according to a first embodiment 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.
Example one
As shown in fig. 1, a switch cabinet operation environment monitoring system comprises a monitoring platform, wherein the monitoring platform is in communication connection with an environment detection module, a safety monitoring module, a safety early warning module, an operation rating module and a service life analysis module;
the environment detection module is used for detecting and analyzing the working environment of the switch cabinet through environment data, the environment data comprises temperature data, humidity data, smoke data and acid-base data, the temperature data is the average value of an air temperature value inside the switch cabinet and an outer surface temperature value of the cabinet body, the air temperature value is directly acquired by a temperature sensor, the temperature sensor refers to a sensor which can sense temperature and convert the temperature into a usable output signal, the temperature sensor is the core part of a temperature measuring instrument, the humidity data is the average value of an air humidity value inside the cabinet body and an outer humidity value, the air humidity value is directly acquired by a humidity sensitive resistance sensor, the humidity sensitive resistance is characterized in that a substrate is covered with a layer of film made of humidity sensing materials, when water vapor in the air is adsorbed on the humidity sensing film, the resistivity and the resistance value of an element are changed, and the humidity can be measured by utilizing the characteristic, the smoke data is the concentration value of smoke particles in the air outside the cabinet body, the smoke data is directly collected by a smoke sensor, the smoke sensor is also called as a smoke alarm or a smoke sensing alarm and can detect smoke generated in the case of fire, and the acid-base data is the pH value of the air inside the cabinet body; the acid-base data were collected directly from the PH meter, which is the instrument used to determine the acid-base number of the solution. The pH meter works by utilizing the principle of a galvanic cell, and the electromotive force between two electrodes of the galvanic cell is related to the properties of the electrodes and the concentration of hydrogen ions in a solution according to the Nernst law; the specific process of detecting and analyzing the working environment of the switch cabinet by the environment detection module comprises the following steps: acquiring a temperature value of the air inside the switch cabinet and a temperature value of the outer surface of the cabinet body, summing and averaging to obtain an annular temperature value HW, acquiring a humidity value of the air inside the switch cabinet and a humidity value of the air outside the switch cabinet, summing and averaging to obtain an annular humidity value HS, acquiring a smoke concentration value of the air outside the switch cabinet and marking as an annular smoke value YW; obtaining an environment coefficient HJ of the switch cabinet through a formula HJ ═ α 1 × HW + α 2 × HS + α 3 × YW, where it is to be noted that the environment coefficient HJ is a numerical value reflecting the suitable degree of the operating environment of the switch cabinet, and the lower the numerical value of the environment coefficient HJ is, the higher the suitable degree of the operating environment of the switch cabinet is, where α 1, α 2, and α 3 are proportional coefficients, and α 1 > α 2 > α 3 > 1; comparing the environmental coefficient HJ with an environmental threshold HJmax: if the environment coefficient HJ is larger than or equal to the environment threshold value HJmax, judging that the working environment of the switch cabinet does not meet the requirement, and sending an environment abnormal signal to the monitoring platform by the environment detection module; and if the environment coefficient HJ is smaller than the environment threshold value HJmax, judging that the working environment of the switch cabinet meets the requirement, and sending an environment normal signal to the monitoring platform by the environment detection module.
The safety monitoring module is used for detecting and analyzing the internal operation safety of the switch cabinet, and the specific safety monitoring analysis process comprises the following steps: the current value of the switch cabinet power supply circuit is obtained in real time and marked as DL, the current value of the switch cabinet power supply circuit is directly collected by a current sensor, the current sensor is a detection device and can sense the information of the current to be detected and convert the sensed information into an electric signal meeting certain standard requirements or information in other required forms according to a certain rule and output so as to meet the requirements of information transmission, processing, storage, display, recording, control and the like, the difference value between the maximum value and the minimum value of the current within L1 seconds is marked as an electrical variable value DB, L1 is a time constant, the electrical variable value DB is compared with an electrical variable threshold value DBmax, if the electrical variable value DB is greater than or equal to the electrical variable threshold value DBmax, the current change of the switch cabinet power supply circuit is judged to be abnormal, and a safety monitoring module sends a current abnormal signal to a monitoring platform; if the electrical transformation value DB is smaller than an electrical transformation threshold value DBmax, the current change of the switch cabinet power supply circuit is judged to be normal, and the safety monitoring module sends a current normal signal to the processor;
the monitoring platform receives the current abnormal signal and then sends the current abnormal signal to the safety early warning module, and the safety early warning module receives the current abnormal signal and then carries out early warning analysis on the operation safety of the switch cabinet: acquiring an electrical transformation value DB of a power supply circuit of a switch cabinet and a loop temperature value HW of the switch cabinet, and obtaining an early warning coefficient YJ of the switch cabinet through a formula YJ ═ beta 1 × DB + beta 2 × HW, wherein beta 1 and beta 2 are proportional coefficients, and beta 1 is more than beta 2 and more than 0; comparing the early warning coefficient YJ with an early warning threshold YJmax: if the early warning coefficient YJ is larger than or equal to the early warning threshold YJmax, comparing: if the early warning coefficient YJ is smaller than the early warning threshold YJmax, the operation safety of the switch cabinet is judged, and a safety early warning module sends a safety signal to the monitoring platform; and if the early warning coefficient YJ is larger than or equal to the early warning threshold YJmax, judging that potential safety hazards exist in the switch cabinet, and sending a safety early warning signal to the monitoring platform by the safety early warning module.
The operation rating module is used for analyzing and rating the current operation state of the switch cabinet, and the specific operation state analyzing and rating process comprises the following steps: marking the frequency of the monitoring platform receiving the environment abnormal signal as HY, marking the frequency of the monitoring platform receiving the current abnormal signal as DY, and marking the frequency of the monitoring platform receiving the safety early warning signal as AY; the formula ZT is a1 × HY + a2 × DY + a3 × AY, wherein a1, a2 and a3 are all proportionality coefficients, and a3 > a1 > a2 > 0; it should be noted that the state coefficient is a prime quality reflecting the using state of the switch cabinet, the lower the numerical value of the state coefficient is, the better the using state of the switch cabinet is, and the state coefficient ZT is compared with state thresholds ZTmin and ZTmax, wherein ZTmin is a minimum state threshold, ZTmax is a maximum state threshold, and the comparison process between the state coefficient ZT and the state thresholds ZTmin and ZTmax includes:
if ZT is less than or equal to ZTmin, judging the operation state grade of the switch cabinet to be a grade;
if ZTmin is more than ZT and less than ZTmax, judging the operating state grade of the switch cabinet to be a second grade;
if ZT is not less than ZTmax, judging the operation state grade of the switch cabinet to be three grade;
and the operation rating module sends the operation state grade of the switch cabinet to the monitoring platform.
The life analysis module is used for carrying out life state detection and analysis on the switch cabinet with the running state grade of three grades, and the specific life state detection and analysis process comprises the following steps: the environment coefficient of the switch cabinet in the last five months is marked as HJt, the pH value of the switch cabinet in the last five months is marked as PHt, wherein t is 1, 2, …, 5 and HJt represent the average value of the environment coefficients of the switch cabinet in the current month for environment detection analysis, PHt represents the average value of the pH value of the switch cabinet in the current month for environment detection analysis, and the formula is used for solving the problems that the prior art is poor in stability and the like
Obtaining Kt, establishing a rectangular coordinate system, taking an original point as a first endpoint, HJt as a length value, making five line segments in a second quadrant of the rectangular coordinate system with Kt as a slope, sequentially connecting the other endpoints of the five line segments to obtain a pentagon, marking the area of the pentagon as MJ, and obtaining a life coefficient SM of the switch cabinet by a formula SM (gamma/MJ), wherein the life coefficient is a numerical value reflecting the residual life time of the switch cabinet, and the lower the numerical value of the life coefficient is, the shorter the residual life time of the switch cabinet is, wherein gamma is a proportionality coefficient and gamma is greater than 1; acquiring a service life threshold SMmin, and comparing the service life coefficient SM with the service life threshold SMmin: if the service life coefficient SM is less than or equal to the service life threshold SMmin, judging that the residual service life of the switch cabinet enters an early warning stage, and sending a service life early warning signal to a monitoring platform by a service life analysis module; if the life factor SM is greater than the lifeAnd (4) judging that the residual service life of the switch cabinet is in a normal stage by using a threshold value SMmin, and sending a service life normal signal to the monitoring platform by using the service life analysis module.
The process of acquiring the life threshold comprises the following steps: selecting the scrapped switch cabinets as material-taking objects, taking five switch cabinets with the shortest service life in the material-taking objects as analysis objects, carrying out life state analysis on the analysis objects for five months before scrapping to obtain life coefficients of the analysis objects, summing the life coefficients of the five analysis objects to obtain an average life standard value SB, and obtaining a life threshold value SMmin through a formula SMmin x SB, wherein c is a proportionality coefficient, and the value range of c is more than or equal to 1.15 and less than or equal to 1.25.
Example two
A working method of a switch cabinet operation environment monitoring system comprises the following steps:
the method comprises the following steps: the environment detection module detects and analyzes the working environment of the switch cabinet through environment data to obtain an environment coefficient, and judges whether the environment is abnormal or not through a comparison result of the environment coefficient and an environment threshold value;
step two: the safety monitoring module is used for detecting and analyzing the internal operation safety of the switch cabinet and performing safety early warning analysis on the switch cabinet by adopting the safety early warning module when the current of a power supply circuit of the switch cabinet is abnormal;
step three: the operation rating module calculates the times of environment abnormal signals, current abnormal signals and safety early warning signals received by the monitoring platform to obtain a state coefficient, and judges the operation state of the switch cabinet to be a first level, a second level or a third level according to the comparison result of the state coefficient and a state threshold;
step four: and the service life analysis module is used for detecting and analyzing the service life state of the switch cabinet with the three-level operation state, obtaining a service life coefficient and sending a service life early warning signal to the monitoring platform when the residual service life of the switch cabinet enters an early warning stage.
When the system works, an environment detection module detects and analyzes the working environment of the switch cabinet through environment data to obtain an environment coefficient, and judges whether the environment is abnormal or not through a comparison result of the environment coefficient and an environment threshold value; the safety monitoring module is used for detecting and analyzing the internal operation safety of the switch cabinet and performing safety early warning analysis on the switch cabinet by adopting the safety early warning module when the current of a power supply circuit of the switch cabinet is abnormal; the operation rating module calculates the times of environment abnormal signals, current abnormal signals and safety early warning signals received by the monitoring platform to obtain a state coefficient, and judges the operation state of the switch cabinet to be a first level, a second level or a third level according to the comparison result of the state coefficient and a state threshold; and the service life analysis module is used for detecting and analyzing the service life state of the switch cabinet with the three-level operation state, obtaining a service life coefficient and sending a service life early warning signal to the monitoring platform when the residual service life of the switch cabinet enters an early warning stage.
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 HJ ═ α 1 × HW + α 2 × HS + α 3 × YW; collecting multiple groups of sample data and setting corresponding environment coefficients for each group of sample data by a person skilled in the art; substituting the set environmental coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 3.52, 2.25 and 1.64;
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 environment coefficient is preliminarily set for each group of sample data by a person skilled in the art; it is sufficient if the proportional relation between the parameter and the quantized value is not affected, for example, the environmental coefficient is proportional to the value of the environmental temperature value.
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. A switch cabinet operation environment monitoring system comprises a monitoring platform, and is characterized in that the monitoring platform is in communication connection with an environment detection module, a safety monitoring module, a safety early warning module, an operation rating module and a service life analysis module;
the environment detection module is used for detecting and analyzing the working environment of the switch cabinet through environment data and sending an environment abnormal signal to the monitoring platform when the environment is abnormal;
the safety monitoring module is used for detecting and analyzing the internal operation safety of the switch cabinet and sending a current abnormal signal to the monitoring platform when the current change is abnormal;
the monitoring platform receives the current abnormal signal and then sends the current abnormal signal to the safety early warning module, and the safety early warning module conducts early warning analysis on the operation safety of the switch cabinet and sends a safety early warning signal to the monitoring platform when potential safety hazards exist in the switch cabinet;
the operation rating module is used for analyzing and rating the current operation state of the switch cabinet to obtain a state coefficient, and judging the operation state grade of the switch cabinet to be one grade, two grades or three grades according to the comparison result of the state coefficient and a state threshold value;
the service life analysis module is used for detecting and analyzing the service life of the switch cabinet with the operation state grade of three, and sending a service life early warning signal to the monitoring platform when the residual service life of the switch cabinet enters an early warning stage.
2. The system for monitoring the operating environment of the switch cabinet according to claim 1, wherein the specific process of the environment detection module for detecting and analyzing the operating environment of the switch cabinet comprises: acquiring a temperature value of the air inside the switch cabinet and a temperature value of the outer surface of the cabinet body, summing and averaging to obtain an annular temperature value HW, acquiring a humidity value of the air inside the switch cabinet and a humidity value of the air outside the switch cabinet, summing and averaging to obtain an annular humidity value HS, acquiring a smoke concentration value of the air outside the switch cabinet and marking as an annular smoke value YW; obtaining an environmental coefficient HJ of the switch cabinet by a formula HJ ═ alpha 1 × HW + alpha 2 × HS + alpha 3 × YW, wherein alpha 1, alpha 2 and alpha 3 are proportionality coefficients, and alpha 1 > alpha 2 > alpha 3 > 1; comparing the environmental coefficient HJ with an environmental threshold HJmax: if the environment coefficient HJ is larger than or equal to the environment threshold value HJmax, judging that the working environment of the switch cabinet does not meet the requirement, and sending an environment abnormal signal to the monitoring platform by the environment detection module; and if the environment coefficient HJ is smaller than the environment threshold value HJmax, judging that the working environment of the switch cabinet meets the requirement, and sending an environment normal signal to the monitoring platform by the environment detection module.
3. The system for monitoring the operating environment of the switch cabinet according to claim 1, wherein the specific process of the safety monitoring analysis comprises: the method comprises the steps of obtaining the current value of a power supply circuit of the switch cabinet in real time, marking the current value as DL, marking the difference value between the maximum current value and the minimum current value within L1 seconds as an electrical variable value DB, wherein L1 is a time constant, comparing the electrical variable value DB with an electrical variable threshold value DBmax, and if the electrical variable value DB is larger than or equal to the electrical variable threshold value DBmax, judging that the current change of the power supply circuit of the switch cabinet is abnormal, and sending a current abnormal signal to a monitoring platform by a safety monitoring module; and if the electrical transformation value DB is smaller than the electrical transformation threshold value DBmax, judging that the current change of the switch cabinet power supply circuit is normal, and sending a normal current signal to the processor by the safety monitoring module.
4. The system for monitoring the operating environment of the switch cabinet according to claim 3, wherein the specific process of the switch cabinet operation safety early warning analysis comprises: acquiring an electrical transformation value DB of a power supply circuit of a switch cabinet and a loop temperature value HW of the switch cabinet, and obtaining an early warning coefficient YJ of the switch cabinet through a formula YJ ═ beta 1 × DB + beta 2 × HW, wherein beta 1 and beta 2 are proportional coefficients, and beta 1 is more than beta 2 and more than 0; comparing the early warning coefficient YJ with an early warning threshold YJmax: if the early warning coefficient YJ is larger than or equal to the early warning threshold YJmax, comparing: if the early warning coefficient YJ is smaller than the early warning threshold YJmax, the operation safety of the switch cabinet is judged, and a safety early warning module sends a safety signal to the monitoring platform; and if the early warning coefficient YJ is larger than or equal to the early warning threshold YJmax, judging that potential safety hazards exist in the switch cabinet, and sending a safety early warning signal to the monitoring platform by the safety early warning module.
5. The system for monitoring the operating environment of the switch cabinet according to claim 4, wherein the specific operating state analysis and rating process comprises: marking the frequency of the monitoring platform receiving the environment abnormal signal as HY, marking the frequency of the monitoring platform receiving the current abnormal signal as DY, and marking the frequency of the monitoring platform receiving the safety early warning signal as AY; the formula ZT is a1 × HY + a2 × DY + a3 × AY, wherein a1, a2 and a3 are all proportionality coefficients, and a3 > a1 > a2 > 0; and comparing the state coefficient ZT with state threshold values ZTmin and ZTmax, wherein ZTmin is a minimum state threshold value, and ZTmax is a maximum state threshold value.
6. The system for monitoring the operating environment of the switch cabinet according to claim 5, wherein the comparison process of the state coefficient ZT and the state threshold ZTmin ZTmax comprises the following steps:
if ZT is less than or equal to ZTmin, judging the operation state grade of the switch cabinet to be a grade;
if ZTmin is more than ZT and less than ZTmax, judging the operating state grade of the switch cabinet to be a second grade;
and if ZT is larger than or equal to ZTmax, judging the operation state grade of the switch cabinet to be three grades.
7. The system for monitoring the operating environment of the switch cabinet according to claim 6, wherein the life analysis module is configured to perform life state detection and analysis on the switch cabinet with a three-level operating state, and a specific life state detection and analysis process includes: the environment coefficient of the switch cabinet in the last five months is marked as HJt, the pH value of the switch cabinet in the last five months is marked as PHt, wherein t is 1, 2, …, 5 and HJt represent the average value of the environment coefficients of the switch cabinet in the current month for environment detection analysis, PHt represents the average value of the pH value of the switch cabinet in the current month for environment detection analysis, and the formula is used for solving the problems that the prior art is poor in stability and the like
Obtaining Kt, establishing a rectangular coordinate system, taking an original point as a first endpoint, HJt as a length value, making five line segments in a second quadrant of the rectangular coordinate system with Kt as a slope, sequentially connecting the other endpoints of the five line segments to obtain a pentagon, marking the area of the pentagon as MJ, and obtaining a life coefficient SM of the switch cabinet by a formula SM (gamma/MJ), wherein gamma is a proportionality coefficient and gamma is more than 1; acquiring a service life threshold SMmin, and comparing the service life coefficient SM with the service life threshold SMmin: if the service life coefficient SM is less than or equal to the service life threshold SMmin, judging that the residual service life of the switch cabinet enters an early warning stage, and sending a service life early warning signal to a monitoring platform by a service life analysis module; and if the service life coefficient SM is greater than the service life threshold SMmin, judging that the residual service life of the switch cabinet is in a normal stage, and sending a service life normal signal to the monitoring platform by the service life analysis module.
8. The system for monitoring the operating environment of the switch cabinet according to claim 7, wherein the process for acquiring the life threshold comprises: selecting the scrapped switch cabinets as material-taking objects, taking five switch cabinets with the shortest service life in the material-taking objects as analysis objects, carrying out life state analysis on the analysis objects for five months before scrapping to obtain life coefficients of the analysis objects, summing the life coefficients of the five analysis objects to obtain an average life standard value SB, and obtaining a life threshold value SMmin through a formula SMmin x SB, wherein c is a proportionality coefficient, and the value range of c is more than or equal to 1.15 and less than or equal to 1.2.
9. The switch cabinet operation environment monitoring system according to any one of claims 1 to 8, characterized in that the operation method of the switch cabinet operation environment monitoring system comprises the following steps:
the method comprises the following steps: the environment detection module detects and analyzes the working environment of the switch cabinet through environment data to obtain an environment coefficient, and judges whether the environment is abnormal or not through a comparison result of the environment coefficient and an environment threshold value;
step two: the safety monitoring module is used for detecting and analyzing the internal operation safety of the switch cabinet and performing safety early warning analysis on the switch cabinet by adopting the safety early warning module when the current of a power supply circuit of the switch cabinet is abnormal;
step three: the operation rating module calculates the times of environment abnormal signals, current abnormal signals and safety early warning signals received by the monitoring platform to obtain a state coefficient, and judges the operation state of the switch cabinet to be a first level, a second level or a third level according to the comparison result of the state coefficient and a state threshold;
step four: and the service life analysis module is used for detecting and analyzing the service life state of the switch cabinet with the three-level operation state, obtaining a service life coefficient and sending a service life early warning signal to the monitoring platform when the residual service life of the switch cabinet enters an early warning stage.
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