CN114372705A - Intelligent switch operation analysis system for high-risk industry - Google Patents
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Abstract
The invention relates to the technical field of intelligent switches, and aims to solve the problems that the existing intelligent switch is difficult to distinguish and analyze the running condition of the intelligent switch in the application of underground coal mine operation, so that the running stability and safety of the intelligent switch cannot be accurately analyzed, and potential safety hazards are caused to underground coal mine operation; according to the invention, the safe operation condition of the intelligent switch is accurately demonstrated and analyzed from different layers, and the two types of judgment signals are integrated and analyzed, so that the operation state of the intelligent switch is comprehensively and accurately analyzed, and the use safety of the intelligent switch in underground coal mine operation is improved.
Description
Technical Field
The invention relates to the technical field of intelligent switches, in particular to an intelligent switch operation analysis system for high-risk industries.
Background
The intelligent switch is a unit which utilizes the combination and programming of a control panel and an electronic component to realize the control of the intelligent switch of the circuit, plays a key role in controlling the stable operation of a circuit system, is widely applied to various industries because the control mode of the intelligent switch is simple and easy to realize, and has the most prominent application effect in high-risk industries such as underground coal mines;
with the continuous enhancement of the mechanized and automatic degree requirements of underground coal mine production, the supply requirement of the underground coal mine to the power system is gradually increased, and the intelligent switch is the most key component in the power system and controls the on and off operations of the whole power system, so that the operation condition of the intelligent switch in the underground coal mine can be accurately mastered, and the operation is very important;
however, when the existing intelligent switch is used, the operation condition of the intelligent switch is difficult to distinguish and analyze, so that the operation stability and safety of the intelligent switch cannot be accurately analyzed, and the intelligent switch also causes great potential safety hazard to underground coal mine work in the use of high-risk industries such as underground coal mines, and hinders the safe development of underground coal mine operation;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problem that when the existing intelligent switch is applied to underground coal mine operation, the operation condition of the intelligent switch is difficult to distinguish and analyze, so the stability and the safety of the operation of the intelligent switch cannot be accurately analyzed, great potential safety hazard is caused to the underground coal mine work, the safety development of the underground coal mine operation is hindered, by accurately demonstrating and analyzing the safe operation condition of the intelligent switch from different layers and integrating and analyzing two types of discrimination signals by using a set intersection processing mode, therefore, the operation state of the intelligent switch is comprehensively and accurately analyzed, meanwhile, early warning of different safety states of the intelligent switch is realized, the use safety of the intelligent switch in underground coal mine operation is improved, the development of underground coal mine operation is promoted, and the intelligent switch operation analysis system for high-risk industry is provided.
The purpose of the invention can be realized by the following technical scheme:
an intelligent switch operation analysis system for high-risk industry comprises an operation analysis platform, wherein a server is arranged in the operation analysis platform, and the server is in communication connection with a data acquisition unit, a factor analysis unit, an autoanalysis unit, a comprehensive analysis unit, a deep analysis unit, a safety early warning unit and a display terminal;
the operation analysis platform is used for monitoring and analyzing related data information of an intelligent switch in underground coal mine operation, acquiring environmental factor information and performance parameter information of the intelligent switch in unit time in real time through the data acquisition unit, respectively sending the environmental factor information and the performance parameter information to the factor analysis unit and the self-body analysis unit, performing factor analysis processing on the received environmental factor information through the factor analysis unit, accordingly generating a serious influence signal, a medium influence signal and a slight influence signal, sending the signals to the comprehensive analysis unit through the server, performing judgment analysis processing on the received performance parameter information one by one through the self-body analysis unit, generating a superior performance signal and a secondary performance signal according to the signals, and sending the signals to the comprehensive analysis unit through the server;
the comprehensive analysis unit performs comprehensive analysis processing on the received influencing factor type distinguishing signal and the performance type distinguishing signal, generates a comprehensive high-level safety signal, a comprehensive middle-level safety signal, a comprehensive low-level safety signal and a safety evaluation pending signal according to the comprehensive analysis processing, sends the comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to the safety early warning unit, sends the safety evaluation pending signal to the deep-layer analysis unit, receives the safety evaluation pending signal through the deep-layer analysis unit, calls part of item index data in the environmental factor information and the performance parameter information according to the safety evaluation pending signal, performs explicit analysis processing, finally generates a comprehensive high-level safety signal, a comprehensive middle-level safety signal and a comprehensive low-level safety signal, and sends the comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to the safety early warning unit; and carrying out early warning analysis processing on various received safety evaluation signals through a safety early warning unit, and sending the safety evaluation signals to a display terminal in a text word mode for display and output.
Furthermore, the environmental factor information is used for representing data information capable of reflecting the underground coal mine operation environment condition, the environmental factor information comprises a temperature value, a humidity value, a magnetic field value and a noise volume value, the performance parameter information is used for representing data information of the operation performance condition of the intelligent switch in the underground coal mine operation, and the performance parameter information comprises a starting current value, an actually measured current, an actually measured voltage and a service life value.
Further, the specific operation steps of the factor analysis processing are as follows:
acquiring temperature magnitude values, humidity magnitude values, magnetic field magnitude values and noise volume values in the environmental factor information of the underground coal mine where the real-time intelligent switch is located in unit time, respectively marking the temperature magnitude values, the humidity magnitude values, the magnetic field magnitude values and the noise volume values as Td, Sd, Cd and Zd, carrying out normalization processing, and obtaining an influence coefficient Hux according to a formula Hux-e 1 Td + e2 Sd + e3 Cd + e4 Zd, wherein e1, e2, e3 and e4 are weight factor coefficients of the temperature magnitude values, the humidity magnitude values, the magnetic field magnitude values and the noise magnitude values respectively, wherein e4 > e3 > e1 > e2 > 0, and e1+ e2+ e3+ e4 is 5.0741;
randomly capturing influence coefficients in a period of time in a unit time in an underground coal mine, equally dividing the period of time into j real time points according to the time, wherein j is a positive integer greater than or equal to 1, randomly capturing the influence coefficients of any 20 real time points in the j real time points, and performing sequence integration on the influence coefficients of the 20 real time points to obtain a sequence X1 (Hux) ═1、Hux2...Hux20) Maximum influence coefficient Hux in the reject sequence X1maxAnd a minimum influence coefficient HuxminAnd a new sequence X2 ═ (Hux) was obtained1、Hux2...Hux18)；
The sequence X2 ═ (Hux)1、Hux2...Hux18) The 18 influence coefficients are subjected to mean processing according to a formula
Calculating a mean influence coefficient JHux, substituting the mean influence coefficient JHux into a corresponding preset threshold Yu for comparison and analysis, and if the mean influence coefficient JHux is larger than the preset threshold YuAnd generating a signal with serious influence if the mean influence coefficient JHux is within a preset threshold Yu, generating a signal with medium influence if the mean influence coefficient JHux is smaller than the minimum value of the preset threshold Yu, and generating a signal with slight influence if the mean influence coefficient JHux is smaller than the minimum value of the preset threshold Yu.
Further, the specific operation steps of the discrimination analysis processing one by one are as follows:
s1: acquiring actual measurement current, actual measurement voltage and service life magnitude values in the real-time performance parameter information of the intelligent switch in unit time, comparing and analyzing the actual measurement current, the actual measurement voltage and the service life magnitude values with corresponding reference values Caz1, Caz2 and Caz3 respectively, and marking the actual measurement current, the actual measurement voltage and the service life magnitude values as Si, Su and Sm respectively;
s2: when the measured current is larger than or equal to the reference value Caz1, generating a current load signal, and when the measured current is smaller than the reference value Caz1, generating a current normal signal, marking the starting current load signal as a symbol 1, and marking the current normal signal as a symbol 2;
s3: when the measured voltage is larger than or equal to the reference value Caz2, generating a voltage load signal, and when the measured voltage is smaller than the reference value Caz2, generating a voltage normal signal, calibrating the voltage load signal as a symbol 1, and calibrating the voltage normal signal as a symbol 2;
s4: when the service life magnitude is larger than or equal to the reference value Caz3, generating a normal service life signal, and when the service life magnitude is smaller than the reference value Caz3, generating an abnormal service life signal, calibrating the abnormal service life signal as a symbol 1, and calibrating the good service life signal as a symbol 2;
s5: counting performance indexes of S2-S4 of any 20 real time points in j real time points to judge the number of occurrences of the calibration symbols, recording the sum of the number of occurrences of the calibration symbols 1 as SL1, recording the sum of the number of occurrences of the calibration symbols 2 as SL2, comparing the sums of the numbers of the two types of symbols, generating a performance superior signal if the SL2 is more than SL1 and SL2/2 is more than SL1, and generating a performance secondary signal if the SL1 is more than or equal to SL 2.
Further, the specific operation steps of the comprehensive analysis treatment are as follows:
simultaneously capturing an influence factor type judging signal and a performance type judging signal in unit time, generating a comprehensive high-grade safety signal when the simultaneously captured signals are respectively a slight influence signal and a performance superior signal, generating a comprehensive low-grade safety signal when the simultaneously captured signals are respectively a serious influence signal or a medium influence signal and a performance secondary signal, generating a comprehensive medium-grade safety signal when the simultaneously captured signals are respectively a medium influence signal and a performance superior signal, and generating a safety judgment undetermined signal under other conditions.
Further, the specific operation steps of the explicit analysis processing are as follows:
when receiving the undetermined signal of safety evaluation, randomly acquiring the temperature value Td of any j real-time point in unit timejAnd starting the current magnitude and scaling the temperature magnitude to TdjCalibrating the starting current magnitude to QijAnd the temperature value TdjAnd a starting current magnitude QijRespectively substituting the comparison values into corresponding comparison values Cu1 and Cu2 for comparison analysis;
when the temperature value TdjWhen the current value Qi is larger than or equal to the comparison value Cu2, a starting abnormal signal is generated, otherwise, a starting normal signal is generated;
if the two types of signals are abnormal signals, the undetermined signal of the safety judgment is modified into the comprehensive low-level safety signal, if the two types of signals are normal signals, the undetermined signal of the safety judgment is modified into the comprehensive high-level safety signal, and if one of the two types of signals is an abnormal signal and the other one is a normal signal, the undetermined signal of the safety judgment is modified into the comprehensive middle-level safety signal.
Further, the specific operation steps of the early warning analysis processing are as follows:
when receiving the comprehensive advanced safety message, sending the comprehensive advanced safety message to a display terminal by a word of 'stably running the intelligent switch in a higher-level safety state';
when receiving the comprehensive middle-level safety message, sending the comprehensive middle-level safety message to a display terminal by a word of 'stably running the intelligent switch in a general-level safety state';
when the comprehensive low-level safety message is received, the comprehensive low-level safety message is sent to the display terminal in the word of 'the intelligent switch runs in a state with lower level and unstable running'.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent switch performance parameter prediction method, the environmental factor information influencing the stable operation of the intelligent switch is comprehensively and accurately analyzed and processed in a normalized formula analysis mode, a sequence calibration mode, a mean value analysis mode and a threshold value substitution comparison mode, the performance parameter information of the intelligent switch is accurately predicted and analyzed in a symbolized calibration and signalized comparison analysis mode and a data summation comparison mode, the intelligent switch safety operation condition is accurately demonstrated and analyzed from different layers, and the safety operation of the intelligent switch is further ensured;
2. according to the intelligent switch, the two types of discrimination signals are integrated and analyzed by using a set intersection processing mode, and the safe operation grade of the intelligent switch is definitely output in a text word mode, so that the operation state of the intelligent switch is comprehensively and accurately analyzed, meanwhile, early warning of different safety states of the intelligent switch is realized, the use safety of the intelligent switch in underground coal mine operation is improved, and the development of underground coal mine operation is promoted.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a general block diagram of the system 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.
The first embodiment is as follows:
as shown in fig. 1, an intelligent switch operation analysis system for high-risk industry includes an operation analysis platform, a server is arranged in the operation analysis platform, and the server is in communication connection with a data acquisition unit, a factor analysis unit, an autoanalysis unit, a comprehensive analysis unit, a deep layer analysis unit, a safety early warning unit and a display terminal;
the operation analysis platform is used for monitoring and analyzing related data information of the intelligent switch operation in underground coal mine operation, acquiring environmental factor information and performance parameter information of the intelligent switch in the related data information of the intelligent switch in unit time in real time through the data acquisition unit, and respectively sending the environmental factor information and the performance parameter information to the factor analysis unit and the self-body analysis unit;
it should be noted that the environmental factor information is used for representing data information capable of reflecting the underground coal mine operation environment condition, and the environmental factor information includes a temperature value, a humidity value, a magnetic field value and a noise value, wherein the temperature value is used for measuring the data value of the temperature performance condition in the underground coal mine environment where the intelligent switch is located, and when the performance value of the temperature value is larger, the larger the factor influencing the safety and stability of the operation of the intelligent switch is;
the humidity value is used for representing a data value of the environmental humidity performance condition of the underground coal mine where the intelligent switch is located, and it needs to be explained that the transmission efficiency of the intelligent switch carrier communication is seriously influenced when the environmental humidity where the intelligent switch is located is higher, so that the stable operation of the intelligent switch is not facilitated;
the magnetic field magnitude is used for representing the data magnitude of magnetic field interference in the environment of an underground coal mine where the intelligent switch is located, and it needs to be stated that when the expression value of the magnetic field magnitude is larger, the magnetic field interference in the environment where the intelligent switch is located is stronger, and the magnetic field interference can seriously influence the transmission efficiency of the carrier communication of the intelligent switch, so that the stable operation of the intelligent switch is not facilitated;
the noise volume value is used for representing the data quantity value of industrial noise decibel generated by machine operation and manual operation in underground coal mine operation, and it needs to be explained that the larger the expression value of the noise quantity value is, the larger the factor influencing the operation safety and stability of the intelligent switch is;
the performance parameter information is used for representing data information of the running performance condition of the intelligent switch in underground coal mine operation, and the performance parameter information comprises a starting current value, an actually measured current, an actually measured voltage and a service life value, wherein the starting current value refers to a data value of the initial current flowing into the intelligent switch when the intelligent switch is started, and it needs to be noted that the smaller the expression value of the starting current value is, the better the soft start performance of the intelligent switch can be reflected;
the measured current refers to a data quantity value of the current passing through the intelligent switch in the stable operation state of the intelligent switch, and the measured voltage refers to a data quantity value of the voltage applied to two ends of the intelligent switch in the stable operation state of the intelligent switch;
the life value refers to a data value of the number of times that the intelligent switch operates under a normal working condition, and it needs to be stated that when the expression value of the life value is larger, the more the number of times that the intelligent switch can be operated is, the longer the service life of the intelligent switch can be embodied, and the better the operation performance of the intelligent switch is;
the factor analysis unit is used for carrying out factor analysis processing on the received environmental factor information, generating serious-influence signals, medium-influence signals and slight-influence signals according to the environmental factor information, and sending the serious-influence signals, medium-influence signals and slight-influence signals to the comprehensive analysis unit through the server;
the comprehensive analysis unit performs comprehensive analysis processing on the received influencing factor type distinguishing signal and the performance type distinguishing signal, generates a comprehensive high-level safety signal, a comprehensive middle-level safety signal, a comprehensive low-level safety signal and a safety evaluation pending signal according to the comprehensive analysis processing, sends the comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to the safety early warning unit, sends the safety evaluation pending signal to the deep-layer analysis unit, receives the safety evaluation pending signal through the deep-layer analysis unit, calls part of item index data in the environmental factor information and the performance parameter information according to the safety evaluation pending signal, performs explicit analysis processing, finally generates a comprehensive high-level safety signal, a comprehensive middle-level safety signal and a comprehensive low-level safety signal, and sends the comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to the safety early warning unit; and carrying out early warning analysis processing on various received safety evaluation signals through a safety early warning unit, and sending the safety evaluation signals to a display terminal in a text word mode for display and output.
Example two:
as shown in fig. 1, when the data acquisition unit acquires the environmental factor information and the performance parameter information of the intelligent switch in real time in the data information related to the intelligent switch in unit time, the environmental factor information and the performance parameter information of the intelligent switch are respectively sent to the factor analysis unit and the self-body analysis unit;
the factor analysis unit is used for carrying out factor analysis processing on the received environment factor information, and the specific operation steps are as follows:
acquiring temperature magnitude values, humidity magnitude values, magnetic field magnitude values and noise volume values in the environmental factor information of the underground coal mine where the real-time intelligent switch is located in unit time, respectively marking the temperature magnitude values, the humidity magnitude values, the magnetic field magnitude values and the noise volume values as Td, Sd, Cd and Zd, carrying out normalization processing, and obtaining an influence coefficient Hux according to a formula Hux-e 1 Td + e2 Sd + e3 Cd + e4 Zd, wherein e1, e2, e3 and e4 are weight factor coefficients of the temperature magnitude values, the humidity magnitude values, the magnetic field magnitude values and the noise magnitude values respectively, wherein e4 > e3 > e1 > e2 > 0, and e1+ e2+ e3+ e4 is 5.0741;
it should be noted that the weighting factor coefficient is used for balancing the proportion weight of each item of data in the formula calculation, so as to promote the accuracy of the calculation result, and the unit time represents 1 day time;
when the expression value of the influence coefficient Hux is smaller, the smaller the interference factor affecting the operation of the intelligent switch is, and the higher the operation safety of the intelligent switch is;
randomly capturing an influence coefficient in a period of time in a unit time in an underground coal mine, equally dividing the period of time into j real-time points according to the time, wherein j is a positive integer greater than or equal to 1, and randomly capturing the j real-time pointsThe influence coefficients at any 20 real time points in the sequence are integrated, and the sequence X1 is obtained by sequence integration of the influence coefficients at the 20 real time points (Hux)1、Hux2...Hux20) Maximum influence coefficient Hux in the reject sequence X1maxAnd a minimum influence coefficient HuxminAnd a new sequence X2 ═ (Hux) was obtained1、Hux2...Hux18) In addition, j represents each real time point;
the sequence X2 ═ (Hux)1、Hux2...Hux18) The 18 influence coefficients are subjected to mean processing according to a formula
Obtaining a mean influence coefficient JHux, substituting the mean influence coefficient JHux into a corresponding preset threshold Yu for comparison and analysis, if the mean influence coefficient JHux is larger than the maximum value of the preset threshold Yu, generating a signal with serious influence, if the mean influence coefficient JHux is within the preset threshold Yu, generating a signal with medium influence, and if the mean influence coefficient JHux is smaller than the minimum value of the preset threshold Yu, generating a signal with slight influence;
sending the generated signals with serious influence, signals with medium influence and signals with slight influence to a comprehensive analysis unit through a server;
when the self-analysis unit receives the performance parameter information, the self-analysis unit performs discrimination analysis processing one by one according to the performance parameter information, and the specific operation steps are as follows:
s1: acquiring actual measurement current, actual measurement voltage and service life magnitude values in the real-time performance parameter information of the intelligent switch in unit time, comparing and analyzing the actual measurement current, the actual measurement voltage and the service life magnitude values with corresponding reference values Caz1, Caz2 and Caz3 respectively, and marking the actual measurement current, the actual measurement voltage and the service life magnitude values as Si, Su and Sm respectively;
s2: when the measured current is greater than or equal to the reference value Caz1, generating a current load signal, when the measured current is less than the reference value Caz1, generating a current normal signal, marking the starting current load signal as a symbol 1, marking the current normal signal as a symbol 2, wherein the reference value Caz1 is used for representing a rated current, the rated current refers to the maximum safe current allowed by the intelligent switch during normal operation, and when the measured current exceeds the rated current, the contact of the intelligent switch is burnt due to overlarge current, so that the operation safety of the intelligent switch is seriously influenced;
s3: when the measured voltage is greater than or equal to the reference value Caz2, a voltage load signal is generated, when the measured voltage is less than the reference value Caz2, a voltage normal signal is generated, the voltage load signal is marked as a symbol 1, the voltage normal signal is marked as a symbol 2, it needs to be noted that the reference value Caz2 represents a rated voltage, the rated voltage refers to the maximum safe voltage allowed to be executed by the intelligent switch during normal operation, if the measured voltage exceeds the rated voltage, the two contacts are ignited and broken down, and therefore the operation safety of the intelligent switch is influenced;
s4: when the service life magnitude is larger than or equal to the reference value Caz3, generating a normal service life signal, and when the service life magnitude is smaller than the reference value Caz3, generating an abnormal service life signal, calibrating the abnormal service life signal as a symbol 1, and calibrating the good service life signal as a symbol 2;
s5: counting performance indexes of S2-S4 of any 20 real time points in j real time points, judging the number of the occurrences of the calibration symbols, recording the sum of the occurrences of the calibration symbols 1 as SL1, recording the sum of the occurrences of the calibration symbols 2 as SL2, comparing the sums of the numbers of the two types of symbols, generating a performance superior signal if the SL2 is more than SL1+ SL2/2 is more than SL1, generating a performance secondary signal if the SL1 is more than or equal to SL2, and sending the generated performance superior signal and the generated performance secondary signal to the comprehensive analysis unit through the server;
when the comprehensive analysis unit receives the influencing factor type distinguishing signal and the performance type distinguishing signal, comprehensive analysis processing is carried out according to the influencing factor type distinguishing signal and the performance type distinguishing signal, and the specific operation steps are as follows:
simultaneously capturing an influence factor type judging signal and a performance type judging signal in unit time, generating a comprehensive high-grade safety signal when the simultaneously captured signals are respectively a slight influence signal and a performance superior signal, generating a comprehensive low-grade safety signal when the simultaneously captured signals are respectively a serious influence signal or a medium influence signal and a performance secondary signal, generating a comprehensive medium-grade safety signal when the simultaneously captured signals are respectively a medium influence signal and a performance superior signal, and generating a safety judgment undetermined signal under other conditions;
sending the generated comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to a safety early warning unit;
and carrying out early warning analysis processing on various received safety evaluation signals through a safety early warning unit, and sending the safety evaluation signals to a display terminal in a text word mode for display and output.
Example three:
as shown in fig. 1, when the comprehensive analysis unit performs comprehensive analysis processing on the received influencing factor type determination signal and the performance type determination signal, a safety judgment pending signal is generated accordingly, and the safety judgment pending signal is sent to the deep layer analysis unit;
receiving a safety evaluation undetermined signal through a deep analysis unit, and calling partial item index data in the environmental factor information and the performance parameter information for definite analysis processing according to the safety evaluation undetermined signal, wherein the specific operation steps are as follows:
when receiving the undetermined signal of safety evaluation, randomly acquiring the temperature value Td of any j real-time point in unit timejAnd starting the current magnitude and scaling the temperature magnitude to TdjCalibrating the starting current magnitude to QijAnd the temperature value TdjAnd a starting current magnitude QijRespectively substituting the comparison values into corresponding comparison values Cu1 and Cu2 for comparison analysis;
when the temperature value TdjWhen the current value Qi is not less than the comparison value Cu1, a temperature abnormal signal is generated, otherwise, a temperature normal signal is generated, when the starting current value Qi is not less than the comparison value Cu2, a starting abnormal signal is generated, otherwise, a starting normal signal is generated, it needs to be noted that the comparison value Cu2 is used for representing rated starting current, and the rated starting current refers to the maximum starting safe current represented by the intelligent switch when the intelligent switch is started;
if the two types of signals are abnormal signals, modifying the safety judgment pending signal into a comprehensive low-level safety signal, if the two types of signals are normal signals, modifying the safety judgment pending signal into a comprehensive high-level safety signal, and if one of the two types of signals is an abnormal signal and the other one is a normal signal, modifying the safety judgment pending signal into a comprehensive middle-level safety signal;
sending the generated comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to a safety early warning unit;
the safety early warning unit is used for carrying out early warning analysis processing on various received safety evaluation signals, and the specific operation steps are as follows:
when receiving the comprehensive advanced safety message, sending the comprehensive advanced safety message to a display terminal by a word of 'stably running the intelligent switch in a higher-level safety state';
when receiving the comprehensive middle-level safety message, sending the comprehensive middle-level safety message to a display terminal by a word of 'stably running the intelligent switch in a general-level safety state';
when the comprehensive low-level safety message is received, the comprehensive low-level safety message is sent to the display terminal in the word of 'the intelligent switch runs in a state with lower level and unstable running'.
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 the formula: hux ═ e1 × Td + e2 × Sd + e3 × Cd + e4 × Zd;
collecting multiple groups of sample data and setting corresponding weight factor coefficient for each group of sample data by the technicians in the field; substituting the set weight factor coefficient and the acquired sample data into a formula, forming a linear equation set by any two formulas, screening the calculated coefficients and taking the mean value to obtain values of e1, e2, e3 and e4 which are 1.2102, 3.1401, 0.7105 and 0.0133 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 a corresponding weight factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected.
When the intelligent switch is used, the environmental factor information and the performance parameter information related to the safe operation of the intelligent switch are collected, the environmental factor information influencing the stable operation of the intelligent switch is comprehensively and accurately analyzed and processed in a normalized formula analysis mode, a sequence calibration mode, a mean value analysis mode and a threshold value substitution comparison mode, the performance parameter information of the intelligent switch is accurately predicted and analyzed in a symbolic calibration mode, a signaling comparison analysis mode and a data summation comparison mode, and the data influencing the operation of the intelligent switch are accurately demonstrated and analyzed from different layers, so that the operation state of the intelligent switch is effectively accurately predicted and determined;
the judgment signals for judging the operation states of the two types of intelligent switches are integrated and analyzed in a set processing mode, so that the operation safety state of the intelligent switches can be comprehensively and accurately analyzed, the operation condition of the intelligent switches can be further known, the efficiency and the safety of underground coal mine operation are ensured, and the development of the underground coal mine operation is promoted;
the safe operation level of the intelligent switch is definitely output in a text word mode, so that the analysis and early warning of the safe operation of the intelligent switch are realized, the early warning of different safe states of the intelligent switch is realized while the comprehensive and accurate analysis of the operation state of the intelligent switch is realized, the use safety of the intelligent switch in underground coal mine operation is improved, and the development of the underground coal mine operation is promoted.
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 (7)
1. An intelligent switch operation analysis system for high-risk industries comprises an operation analysis platform and is characterized in that a server is arranged in the operation analysis platform, and the server is in communication connection with a data acquisition unit, a factor analysis unit, an autologous analysis unit, a comprehensive analysis unit, a deep analysis unit, a safety early warning unit and a display terminal;
the operation analysis platform is used for monitoring and analyzing related data information of an intelligent switch in underground coal mine operation, acquiring environmental factor information and performance parameter information of the intelligent switch in unit time in real time through the data acquisition unit, respectively sending the environmental factor information and the performance parameter information to the factor analysis unit and the self-body analysis unit, performing factor analysis processing on the received environmental factor information through the factor analysis unit, accordingly generating a serious influence signal, a medium influence signal and a slight influence signal, sending the signals to the comprehensive analysis unit through the server, performing judgment analysis processing on the received performance parameter information one by one through the self-body analysis unit, generating a superior performance signal and a secondary performance signal according to the signals, and sending the signals to the comprehensive analysis unit through the server;
the comprehensive analysis unit performs comprehensive analysis processing on the received influencing factor type distinguishing signal and the performance type distinguishing signal, generates a comprehensive high-level safety signal, a comprehensive middle-level safety signal, a comprehensive low-level safety signal and a safety evaluation pending signal according to the comprehensive analysis processing, sends the comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to the safety early warning unit, sends the safety evaluation pending signal to the deep-layer analysis unit, receives the safety evaluation pending signal through the deep-layer analysis unit, calls part of item index data in the environmental factor information and the performance parameter information according to the safety evaluation pending signal, performs explicit analysis processing, finally generates a comprehensive high-level safety signal, a comprehensive middle-level safety signal and a comprehensive low-level safety signal, and sends the comprehensive high-level safety signal, the comprehensive middle-level safety signal and the comprehensive low-level safety signal to the safety early warning unit; and carrying out early warning analysis processing on various received safety evaluation signals through a safety early warning unit, and sending the safety evaluation signals to a display terminal in a text word mode for display and output.
2. The system of claim 1, wherein the environmental factor information is used for representing data information capable of representing underground coal mine operation environment conditions, the environmental factor information comprises a temperature value, a humidity value, a magnetic field value and a noise volume value, the performance parameter information is used for representing data information of the intelligent switch operation performance conditions in underground coal mine operation, and the performance parameter information comprises a starting current value, a measured current, a measured voltage and a service life value.
3. The intelligent switch operation analysis system for the high-risk industry according to claim 1, wherein the specific operation steps of the factor analysis processing are as follows:
acquiring temperature magnitude values, humidity magnitude values, magnetic field magnitude values and noise volume values in the environmental factor information of the underground coal mine where the real-time intelligent switch is located in unit time, respectively marking the temperature magnitude values, the humidity magnitude values, the magnetic field magnitude values and the noise volume values as Td, Sd, Cd and Zd, carrying out normalization processing, and obtaining an influence coefficient Hux according to a formula Hux-e 1 Td + e2 Sd + e3 Cd + e4 Zd, wherein e1, e2, e3 and e4 are weight factor coefficients of the temperature magnitude values, the humidity magnitude values, the magnetic field magnitude values and the noise magnitude values respectively, wherein e4 > e3 > e1 > e2 > 0, and e1+ e2+ e3+ e4 is 5.0741;
randomly capturing influence coefficients in a period of time in a unit time in an underground coal mine, equally dividing the period of time into j real time points according to the time, wherein j is a positive integer greater than or equal to 1, randomly capturing the influence coefficients of any 20 real time points in the j real time points, and performing sequence integration on the influence coefficients of the 20 real time points to obtain a sequence X1 (Hux) ═1、Hux2...Hux20) Maximum influence coefficient Hux in the reject sequence X1maxAnd a minimum influence coefficient HuxminAnd a new sequence X2 ═ (Hux) was obtained1、Hux2...Hux18)；
The sequence X2 ═ (Hux)1、Hux2...Hux18) The 18 influence coefficients are subjected to mean processing according to a formula
And solving a mean influence coefficient JHux, substituting the mean influence coefficient JHux into a corresponding preset threshold Yu for comparison and analysis, if the mean influence coefficient JHux is larger than the maximum value of the preset threshold Yu, generating a signal with serious influence, if the mean influence coefficient JHux is within the preset threshold Yu, generating a signal with medium influence, and if the mean influence coefficient JHux is smaller than the minimum value of the preset threshold Yu, generating a signal with slight influence.
4. The intelligent switch operation analysis system for the high-risk industry according to claim 1, wherein the specific operation steps of one-by-one discriminant analysis processing are as follows:
s1: acquiring actual measurement current, actual measurement voltage and service life magnitude values in the real-time performance parameter information of the intelligent switch in unit time, comparing and analyzing the actual measurement current, the actual measurement voltage and the service life magnitude values with corresponding reference values Caz1, Caz2 and Caz3 respectively, and marking the actual measurement current, the actual measurement voltage and the service life magnitude values as Si, Su and Sm respectively;
s2: when the measured current is larger than or equal to the reference value Caz1, generating a current load signal, and when the measured current is smaller than the reference value Caz1, generating a current normal signal, marking the starting current load signal as a symbol 1, and marking the current normal signal as a symbol 2;
s3: when the measured voltage is larger than or equal to the reference value Caz2, generating a voltage load signal, and when the measured voltage is smaller than the reference value Caz2, generating a voltage normal signal, calibrating the voltage load signal as a symbol 1, and calibrating the voltage normal signal as a symbol 2;
s4: when the service life magnitude is larger than or equal to the reference value Caz3, generating a normal service life signal, and when the service life magnitude is smaller than the reference value Caz3, generating an abnormal service life signal, calibrating the abnormal service life signal as a symbol 1, and calibrating the good service life signal as a symbol 2;
s5: counting performance indexes of S2-S4 of any 20 real time points in j real time points to judge the number of occurrences of the calibration symbols, recording the sum of the number of occurrences of the calibration symbols 1 as SL1, recording the sum of the number of occurrences of the calibration symbols 2 as SL2, comparing the sums of the numbers of the two types of symbols, generating a performance superior signal if the SL2 is more than SL1 and SL2/2 is more than SL1, and generating a performance secondary signal if the SL1 is more than or equal to SL 2.
5. The intelligent switch operation analysis system for the high-risk industry according to claim 1, wherein the specific operation steps of the comprehensive analysis processing are as follows:
simultaneously capturing an influence factor type judging signal and a performance type judging signal in unit time, generating a comprehensive high-grade safety signal when the simultaneously captured signals are respectively a slight influence signal and a performance superior signal, generating a comprehensive low-grade safety signal when the simultaneously captured signals are respectively a serious influence signal or a medium influence signal and a performance secondary signal, generating a comprehensive medium-grade safety signal when the simultaneously captured signals are respectively a medium influence signal and a performance superior signal, and generating a safety judgment undetermined signal under other conditions.
6. The intelligent switch operation analysis system for the high-risk industry according to claim 5, wherein the specific operation steps of the explicit analysis processing are as follows:
when receiving the undetermined signal of safety evaluation, randomly acquiring the temperature value Td of any j real-time point in unit timejAnd starting the current magnitude and scaling the temperature magnitude to TdjCalibrating the starting current magnitude to QijAnd the temperature value TdjAnd a starting current magnitude QijRespectively substituting the comparison values into corresponding comparison values Cu1 and Cu2 for comparison analysis;
when the temperature value TdjWhen the current value Qi is more than or equal to the comparison value Cu1, generating a temperature abnormal signal, otherwise, generating a temperature normal signal, when the starting current value Qi is more than or equal to the comparison value Cu2, generating a starting abnormal signal, otherwise, generating a starting abnormal signalGenerating a normal starting signal;
if the two types of signals are abnormal signals, the undetermined signal of the safety judgment is modified into the comprehensive low-level safety signal, if the two types of signals are normal signals, the undetermined signal of the safety judgment is modified into the comprehensive high-level safety signal, and if one of the two types of signals is an abnormal signal and the other one is a normal signal, the undetermined signal of the safety judgment is modified into the comprehensive middle-level safety signal.
7. The intelligent switch operation analysis system for the high-risk industry according to claim 1, wherein the specific operation steps of the early warning analysis processing are as follows:
when receiving the comprehensive advanced safety message, sending the comprehensive advanced safety message to a display terminal by a word of 'stably running the intelligent switch in a higher-level safety state';
when receiving the comprehensive middle-level safety message, sending the comprehensive middle-level safety message to a display terminal by a word of 'stably running the intelligent switch in a general-level safety state';
when the comprehensive low-level safety message is received, the comprehensive low-level safety message is sent to the display terminal in the word of 'the intelligent switch runs in a state with lower level and unstable running'.
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