CN115166494B - Intelligent IT online circuit detection monitoring device - Google Patents
Intelligent IT online circuit detection monitoring device Download PDFInfo
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- CN115166494B CN115166494B CN202211086562.3A CN202211086562A CN115166494B CN 115166494 B CN115166494 B CN 115166494B CN 202211086562 A CN202211086562 A CN 202211086562A CN 115166494 B CN115166494 B CN 115166494B
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/28—Testing of electronic circuits, e.g. by signal tracer
- G01R31/2832—Specific tests of electronic circuits not provided for elsewhere
- G01R31/2836—Fault-finding or characterising
- G01R31/2843—In-circuit-testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/28—Testing of electronic circuits, e.g. by signal tracer
- G01R31/2832—Specific tests of electronic circuits not provided for elsewhere
- G01R31/2836—Fault-finding or characterising
- G01R31/2849—Environmental or reliability testing, e.g. burn-in or validation tests
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Abstract
The invention provides an intelligent IT online circuit detection monitoring device, which relates to the technical field of circuit monitoring, and comprises a power supply input end, a circuit and electric equipment, wherein the power supply input end is electrically connected with the electric equipment through the circuit; the monitoring device comprises a conventional monitoring module, a fault analysis module and an early warning module; the conventional monitoring module comprises an internal monitoring unit and an external monitoring unit, wherein the internal monitoring unit is used for monitoring internal operation parameters of the circuit, and the external monitoring unit is used for acquiring environmental parameters of circuit operation; the invention can improve the comprehensiveness of the circuit operation detection and the timeliness of the monitoring and early warning by comprehensively monitoring the internal operation components and the external environment in the circuit operation process, so as to solve the problems that the existing circuit monitoring device has a single detection data processing mode and the timeliness and comprehensiveness of the fault early warning are insufficient.
Description
Technical Field
The invention relates to the technical field of circuit monitoring, in particular to an intelligent IT online circuit detection monitoring device.
Background
The circuit is a general term for the connection between electric equipment and a power supply, and the simplest circuit consists of three parts, namely a power supply, an electric appliance (load) and an intermediate link (components such as a lead, a switch and the like). When the circuit is switched on, the circuit is called a path, and when the circuit is switched off, the circuit is called an open path. Only in the path is current flowing through the circuit. An electrical circuit break somewhere is called an open circuit or an open circuit. This is never allowed if there is no load between the positive and negative poles of the power supply in the circuit but the direct connection is called a short circuit. Another short circuit is a condition where two terminals of a certain element are directly connected and current flows from the directly connected point without passing through the element, and this condition is called the element short circuit. The open circuit (or open circuit) is allowable, but the first short circuit is not allowable, because the short circuit of the power supply can cause the power supply to be burnt out, and the short circuit of the electrical appliance can cause the phenomenon that the electrical appliance, the electric meter and the like can not work normally. The importance of different consumer is different, can set up monitoring device in the circuit that the higher consumer of importance located usually and monitor its running state to can supervise its running state in real time, avoid the power consumption transmission to have the safety risk, and then the guarantee is to the power consumption safety of the higher consumer of importance level.
However, in the prior art, in the monitoring process of the circuit, the applied monitoring mode is single, usually a detection sensor is arranged for a certain point to be detected, and the overall monitoring analysis of the electric equipment and the circuit in the circuit is not enough, and the independent detection mode can only find the fault problem at the detection point, so that the existing monitoring mode is difficult to timely and effectively warn the fault problem when the circuit runs.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent IT online circuit detection monitoring device, which can improve the comprehensiveness of circuit operation detection and the timeliness of monitoring and early warning by comprehensively monitoring internal operation components and external environments in the circuit operation process so as to solve the problems that the existing circuit monitoring device is single in detection data processing mode and insufficient in timeliness and comprehensiveness of fault early warning.
In order to achieve the purpose, the invention is realized by the following technical scheme: the invention provides an intelligent IT online circuit detection monitoring device, wherein the circuit comprises a power input end, a circuit and electric equipment, wherein the power input end is electrically connected with the electric equipment through the circuit; the monitoring device comprises a conventional monitoring module, a fault analysis module and an early warning module;
the conventional monitoring module comprises an internal monitoring unit and an external monitoring unit, wherein the internal monitoring unit is used for monitoring internal operation parameters of the circuit, and the external monitoring unit is used for acquiring environmental parameters of circuit operation;
the fault analysis module comprises an internal fault analysis unit, an external fault analysis unit and a hybrid analysis unit, wherein the internal fault analysis unit is used for analyzing based on data acquired by the internal monitoring unit and obtaining an internal fault analysis result; the external fault analysis unit is used for analyzing based on the data acquired by the external monitoring unit and obtaining an external fault analysis result; the mixed analysis unit is used for carrying out mixed analysis based on the analysis results of the internal fault analysis unit and the external fault analysis unit and obtaining a mixed analysis result;
the early warning module is used for outputting an early warning signal based on the analysis result.
Further, inside monitoring unit includes power input monitoring subunit, circuit monitoring subunit and monitors the subunit with the electricity, power input monitoring subunit includes power input monitor, power input monitoring subunit disposes power input monitoring strategy, power input monitoring strategy includes: firstly, a power input monitor is arranged at a power input end, and the input electric quantity, the input current value and the input voltage value of the power input end are obtained through the power input monitor;
the line monitoring subunit comprises a line specification memory, a line monitor and a line temperature sensor; the line monitoring subunit is configured with a line monitoring strategy, which includes: acquiring the line length and the line diameter in a line specification memory; acquiring an output current value, an output voltage value and output electric quantity of a line output end through a line monitor; acquiring the line temperature in the line running state through a line temperature sensor;
the power consumption monitoring subunit includes power detector and consumer temperature sensor, the power consumption monitoring subunit disposes the power consumption monitoring strategy, the power consumption monitoring strategy includes: acquiring the operating power of the electric equipment in the operating state through a power detector; and acquiring the equipment temperature of the electric equipment in the running state through the electric equipment temperature sensor.
Further, the external monitoring unit includes a vibration sensor and an external temperature sensor, the external monitoring unit is configured with an external monitoring strategy, the external monitoring strategy includes: the vibration frequency of the electric equipment in the running state is obtained through the vibration sensor, and the external temperature of the circuit in the environment is obtained through the external temperature sensor.
Further, the internal fault analysis unit is configured with a power output detection strategy, which includes: firstly, substituting the line length and the line diameter into a line loss formula to obtain a line resistance coefficient; substituting the input current value and the output current value into a current loss formula to obtain a current loss coefficient; substituting the input voltage value and the output voltage value into a voltage loss formula to obtain a voltage loss coefficient; substituting the input electric quantity and the output electric quantity into an electric quantity loss formula to obtain an electric quantity loss coefficient;
substituting the linear resistance coefficient, the current loss coefficient, the voltage loss coefficient and the electric quantity loss coefficient into a loss correction formula to obtain a loss correction coefficient;
and outputting a line transmission loss fault signal when the loss correction coefficient is greater than or equal to the first loss correction threshold value.
Further, the internal fault analysis unit is further configured with a power consumption detection strategy, which includes: substituting the line length and the line diameter into a line bearing formula to obtain a line bearing coefficient; substituting the output current value, the output voltage value and the running power into a running load formula to obtain a running load factor; subtracting the line bearing coefficient from the running bearing coefficient to obtain a bearing difference value;
and outputting a bearing fault signal when the bearing difference value is greater than or equal to the first bearing threshold value.
Further, the internal monitoring unit further includes an operation duration monitoring subunit, where the operation duration monitoring subunit is configured with an operation duration monitoring sub-policy, and the operation duration monitoring sub-policy includes: acquiring the running time of the line in the electrified state in one day, continuously acquiring the running time of the line in the electrified state in the first unit number of days, solving an average value, and setting the average value as the running time of the line in one day;
the internal fault analysis unit is further configured with an internal operation loss evaluation strategy, which includes: firstly, substituting the line temperature and the running power of electric equipment in a power-on state into a line basic loss formula to obtain a line basic loss coefficient; then obtaining the basic loss coefficients of the first line selection quantity within one day, solving the average value of the basic loss coefficients of the first line selection quantity, and setting the average value as a daily basic line loss reference value; substituting the daily basic line loss reference value and the daily operation time of the line into a daily average loss formula of the line to obtain a daily average line loss coefficient;
accumulating daily average line loss coefficients of each day to obtain the daily line accumulated loss coefficients; when the line accumulated loss coefficient is larger than or equal to a first line loss early warning threshold value, outputting a first line loss early warning signal; when the accumulated line loss coefficient is larger than or equal to a second loss early warning threshold value, outputting a second line loss early warning signal; and outputting a third line loss early warning signal when the line accumulated loss coefficient is greater than or equal to a third loss early warning threshold value.
Further, the external fault analysis unit is configured with an external fault analysis policy, the external fault analysis policy including: when the electric equipment is in an operating state, acquiring the vibration frequency and the external temperature of the electric equipment in a first external monitoring number in the operating state within one day; substituting the vibration frequency, the external temperature and the daily operation time of the line of the first external monitoring quantity of the electric equipment in the operation state into an external loss basic calculation formula to obtain an external daily loss basic reference coefficient;
continuously acquiring an external daily loss basic reference coefficient of a first unit number of days, calculating an average value of the external daily loss basic reference coefficients of the first unit number of days, and setting the average value as a daily average external loss coefficient;
accumulating the daily average external loss coefficients of each day to obtain the daily external accumulated loss coefficients; when the external accumulated loss coefficient is larger than or equal to a first external loss early warning threshold value, outputting a first external loss early warning signal; when the external accumulated loss coefficient is larger than or equal to the second external loss early warning threshold value, outputting a second external loss early warning signal; and outputting a third external loss early warning signal when the external accumulated loss coefficient is greater than or equal to a third external loss early warning threshold value.
Further, the hybrid analysis unit is configured with a hybrid analysis strategy comprising: substituting the daily average line loss coefficient and the external daily loss basic reference coefficient obtained on the same day into a mixed calculation formula to obtain a daily mixed loss coefficient;
accumulating the daily mixed loss coefficients of each day to obtain the daily mixed accumulated loss coefficients, and outputting a first mixed loss early warning signal when the mixed accumulated loss coefficients are more than or equal to a first mixed loss early warning threshold value; when the mixed accumulation loss coefficient is larger than or equal to a second mixed loss early warning threshold value, outputting a second mixed loss early warning signal; and outputting a third mixed loss early warning signal when the mixed accumulated loss coefficient is greater than or equal to a third mixed loss early warning threshold value.
The invention has the beneficial effects that: the internal monitoring unit in the conventional monitoring module can monitor the internal operation parameters of the circuit, and then the internal fault analysis unit of the fault analysis module can analyze the data acquired by the internal monitoring unit and obtain the internal fault analysis result; the design can monitor and analyze the running state of the components in the circuit in time, and improve the timeliness of fault early warning during running;
the external monitoring unit can acquire the environmental parameters of circuit operation; the external fault analysis unit can analyze the data acquired by the external monitoring unit to obtain an external fault analysis result; the design can integrate and analyze external environmental factors when the circuit operates, improve the comprehensiveness of monitoring the circuit operation, and further improve the accuracy of early warning of circuit faults;
according to the invention, the hybrid analysis unit can perform hybrid analysis based on the analysis results of the internal fault analysis unit and the external fault analysis unit, and obtain a hybrid analysis result; the design can integrate the running state of the circuit and external environmental factors to comprehensively judge the whole running of the circuit, thereby improving the comprehensiveness and accuracy of fault monitoring and analysis in the running process of the circuit.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of the monitoring device of the present invention connected to a circuit;
FIG. 2 is a block schematic diagram of a monitoring device of the present invention;
fig. 3 is a schematic block diagram of the units of the module in the monitoring device of the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained by combining the specific embodiments.
Referring to fig. 1, the present invention provides an intelligent IT online circuit detection monitoring device, which can improve the comprehensiveness of circuit operation detection and the timeliness of monitoring and early warning by comprehensively monitoring the internal operation components and the external environment during the circuit operation process, so as to solve the problems of single detection data processing mode and insufficient timeliness and comprehensiveness of fault early warning of the existing circuit monitoring device. The circuit comprises a power input end, a circuit and electric equipment, wherein the power input end is electrically connected with the electric equipment through the circuit; the monitoring device comprises a conventional monitoring module, a fault analysis module and an early warning module.
Example one
Referring to fig. 2 and 3, specifically, the conventional monitoring module includes an internal monitoring unit for monitoring internal operating parameters of the circuit; the inside monitoring unit includes power input monitoring subunit, circuit monitoring subunit and with electric monitoring subunit, and power input monitoring subunit includes power input monitor, and power input monitoring subunit disposes power input monitoring strategy, and power input monitoring strategy includes: firstly, a power input monitor is arranged at a power input end, and the input electric quantity, the input current value and the input voltage value of the power input end are obtained through the power input monitor; the line monitoring subunit comprises a line specification memory, a line monitor and a line temperature sensor; the line monitoring subunit is configured with a line monitoring strategy, which comprises: acquiring the line length and the line diameter in a line specification memory; acquiring an output current value, an output voltage value and an output electric quantity of a line output end through a line monitor; acquiring the line temperature in the line running state through a line temperature sensor; with electric monitoring subunit includes power detector and consumer temperature sensor, and electric monitoring subunit disposes the power consumption monitoring strategy, and the power consumption monitoring strategy includes: acquiring the operating power of the electric equipment in the operating state through a power detector; and acquiring the equipment temperature of the electric equipment in the running state through the electric equipment temperature sensor.
The fault analysis module comprises an internal fault analysis unit; the internal fault analysis unit is used for analyzing based on the data acquired by the internal monitoring unit and obtaining an internal fault analysis result; the internal fault analysis unit is configured with an electric quantity output detection strategy, and the electric quantity output detection strategy comprises: firstly, substituting the line length and the line diameter into a line loss formula to obtain a line resistance coefficient; substituting the input current value and the output current value into a current loss formula to obtain a current loss coefficient; substituting the input voltage value and the output voltage value into a voltage loss formula to obtain a voltage loss coefficient; substituting the input electric quantity and the output electric quantity into an electric quantity loss formula to obtain an electric quantity loss coefficient; the line loss equation is configured as:
(ii) a Wherein Xxz is the linear resistance coefficient, cxl is the line length, rxl is the line diameter; the current loss equation is configured as:
(ii) a Wherein Xdl is the current loss coefficient, isr is the input current value, and Isc is the output current value; the voltage loss formula is configured as:
(ii) a Wherein Xdy is the voltage loss coefficient, usr is the input voltage value, and Usc is the output voltage value; the charge loss formula is configured as:
(ii) a Xdz is the power loss factor, dsr is the input power, and Dsc is the output power.
Substituting the linear resistance coefficient, the current loss coefficient, the voltage loss coefficient and the electric quantity loss coefficient into a loss correction formula to obtain a loss correction coefficient; the loss correction formula is configured as:
(ii) a Wherein Xjz is a loss correction coefficient, k1 is a current loss conversion ratio, k2 is a voltage loss conversion ratio, and k3 is an electric quantity loss conversion ratio; the values of k1, k2 and k3 are all larger than zero.
And outputting a line transmission loss fault signal when the loss correction coefficient is greater than or equal to the first loss correction threshold value.
The internal fault analysis unit is also configured with a power consumption detection strategy, which comprises: substituting the line length and the line diameter into a line bearing formula to obtain a line bearing coefficient; substituting the output current value, the output voltage value and the running power into a running load formula to obtain a running load factor; subtracting the line bearing coefficient from the running bearing coefficient to obtain a bearing difference value;
and outputting a bearing fault signal when the bearing difference value is greater than or equal to the first bearing threshold value.
The internal monitoring unit further comprises an operation duration monitoring subunit, the operation duration monitoring subunit is configured with an operation duration monitoring sub-strategy, and the operation duration monitoring sub-strategy comprises: acquiring the running time of the line in the electrified state in one day, continuously acquiring the running time of the line in the electrified state in the first unit number of days, calculating an average value, and setting the average value as the running time of the line in one day;
the internal fault analysis unit is also provided with an internal operation loss evaluation strategy, and the internal fault analysis unit is internally provided withThe operation loss evaluation strategy comprises the following steps: firstly, substituting the line temperature and the running power of electric equipment in a power-on state into a line basic loss formula to obtain a line basic loss coefficient; the line fundamental loss equation is configured as:
(ii) a Wherein Xxlj is a basic loss coefficient of the line, txl is the line temperature, and Wyd is the running power of the electric equipment;
then obtaining the basic loss coefficients of the first line selection quantity within one day, solving the average value of the basic loss coefficients of the first line selection quantity, and setting the average value as a daily basic line loss reference value; substituting the daily basic line loss reference value and the daily operation time of the line into a daily average loss formula of the line to obtain a daily average line loss coefficient; the line daily average loss formula is configured as:
(ii) a Wherein Xrxs is a daily average line loss coefficient, pjxc is a daily basic line loss reference value, and tyx is the daily operation time length of the line; the meaning represented by the daily average line loss coefficient is the average loss value of the line in one day, and the daily average line loss coefficient is linked with the service life of the line; the higher the daily average line loss coefficient is, the higher the loss of the line is, and the lower the service life of the line is; the lower the daily average line loss coefficient, the lower the loss to the line, and the longer the service life of the line.
Accumulating daily average line loss coefficients of each day to obtain the daily line accumulated loss coefficients; when the line accumulated loss coefficient is larger than or equal to a first line loss early warning threshold value, outputting a first line loss early warning signal; when the accumulated line loss coefficient is larger than or equal to a second loss early warning threshold value, outputting a second line loss early warning signal; and outputting a third line loss early warning signal when the line accumulated loss coefficient is greater than or equal to a third loss early warning threshold value. The first line loss early warning threshold value is smaller than the second line loss early warning threshold value, and the second line loss early warning threshold value is smaller than the third line loss early warning threshold value. The early warning signals of three levels are set, so that the maintenance terminal can perform corresponding early warning maintenance based on the early warning signals of the three levels, thereby avoiding the waste of maintenance resources and improving the pertinence of maintenance.
The early warning module is in communication connection with the maintenance terminal, and the early warning module comprises an internal early warning unit which is used for sending a first line loss early warning signal, a second line loss early warning signal and a third line loss early warning signal to the maintenance terminal.
Example two
Referring to fig. 2 and fig. 3, a second embodiment provides a method for analyzing external influencing factors during circuit operation, and the specific scheme is as follows:
the conventional monitoring module further comprises an external monitoring unit; the external monitoring unit is used for acquiring the environmental parameters of circuit operation; the external monitoring unit includes vibration sensor and outside temperature sensor, and the external monitoring unit disposes the external monitoring tactics, and the external monitoring tactics include: the vibration frequency of the electric equipment in the running state is obtained through the vibration sensor, and the external temperature of the circuit in the environment is obtained through the external temperature sensor.
The fault analysis module comprises an external fault analysis unit, and the external fault analysis unit is used for analyzing based on the data acquired by the external monitoring unit and acquiring an external fault analysis result; the external fault analysis unit is configured with an external fault analysis strategy, which comprises: when the electric equipment is in an operating state, acquiring the vibration frequency and the external temperature of the electric equipment with a first external monitoring quantity in the operating state within one day; substituting the vibration frequency, the external temperature and the daily operation time of the line of the first external monitoring quantity of the electric equipment in the operation state into an external loss basic calculation formula to obtain an external daily loss basic reference coefficient;
(ii) a Wherein Xrsj is an external daily loss basic reference coefficient, P1 to Pi are respectively the vibration frequency of the electric equipment with the first external monitoring quantity in the running state,twb1 to Twbi are the outside temperatures of the first outside monitoring number, respectively, and i is the first outside monitoring number. The higher the external daily loss base reference coefficient is, the higher the loss of the line is.
Continuously acquiring external daily loss basic reference coefficients of a first unit number of days, calculating an average value of the external daily loss basic reference coefficients of the first unit number of days, and setting the average value as a daily average external loss coefficient;
accumulating the daily average external loss coefficients of each day to obtain the daily external accumulated loss coefficients; when the external accumulated loss coefficient is larger than or equal to a first external loss early warning threshold value, outputting a first external loss early warning signal; when the external accumulated loss coefficient is larger than or equal to the second external loss early warning threshold value, outputting a second external loss early warning signal; and outputting a third external loss early warning signal when the external accumulated loss coefficient is greater than or equal to a third external loss early warning threshold value. The first external loss early warning threshold is smaller than the second external loss early warning threshold, and the second external loss early warning threshold is smaller than the third external loss early warning threshold. The external loss early warning signals of three levels are set, so that the maintenance terminal can perform corresponding early warning maintenance based on the external loss early warning signals of three levels, the waste of maintenance resources is avoided, and the maintenance pertinence is improved.
The early warning module further comprises an external early warning unit, and the external early warning unit is used for sending the first external loss early warning signal, the second external loss early warning signal and the third external loss early warning signal to the maintenance terminal.
EXAMPLE III
Referring to fig. 2 and 3, the fault analysis module includes a hybrid analysis unit; and the hybrid analysis unit is used for performing hybrid analysis based on the analysis results of the internal fault analysis unit and the external fault analysis unit and obtaining a hybrid analysis result.
The third embodiment performs integrated analysis on the internal influence factors and the external influence factors in the circuit operation state on the basis of the analysis of the first embodiment and the second embodiment, and the specific scheme is as follows:
the mixed analysis unit is configured with a mixed analysis strategy, and mixed analysisThe strategy comprises the following steps: substituting the daily average line loss coefficient and the external daily loss basic reference coefficient obtained on the same day into a mixed calculation formula to obtain a daily mixed loss coefficient; the hybrid calculation formula is configured as:
(ii) a Wherein Xhh is the daily mixing loss coefficient; the daily mixed loss coefficient integrates loss factors during the operation of the line and loss factors in the environment, so that the overall loss reference value of the line is obtained, and the loss calculation of the line is more accurate and comprehensive.
Accumulating the daily mixed loss coefficients of each day to obtain the daily mixed accumulated loss coefficients, and outputting a first mixed loss early warning signal when the mixed accumulated loss coefficients are more than or equal to a first mixed loss early warning threshold value; when the mixed accumulation loss coefficient is larger than or equal to a second mixed loss early warning threshold value, outputting a second mixed loss early warning signal; and outputting a third mixed loss early warning signal when the mixed accumulated loss coefficient is greater than or equal to a third mixed loss early warning threshold value. The first mixed loss early warning threshold value is smaller than the second mixed loss early warning threshold value, and the second mixed loss early warning threshold value is smaller than the third mixed loss early warning threshold value. The mixed loss early warning signals of three levels are set, so that the maintenance terminal can perform corresponding early warning maintenance based on the mixed loss early warning signals of three levels, thereby avoiding the waste of maintenance resources and improving the pertinence of maintenance.
The early warning module further comprises a mixed early warning unit, and the mixed early warning unit is used for sending the first mixed loss early warning signal, the second mixed loss early warning signal and the third mixed loss early warning signal to the maintenance terminal.
The working principle is as follows: the method comprises the steps that firstly, internal operation parameters of a circuit can be monitored through an internal monitoring unit, then, an internal fault analysis unit of a fault analysis module can analyze data obtained by the internal monitoring unit, and an internal fault analysis result is obtained; the design can monitor and analyze the running state of the components in the circuit in time; the external monitoring unit can acquire the environmental parameters of the circuit operation; the external fault analysis unit can analyze the data acquired by the external monitoring unit to obtain an external fault analysis result; the design can integrate and analyze external environmental factors where the circuit operates; finally, the hybrid analysis unit can perform hybrid analysis based on the analysis results of the internal fault analysis unit and the external fault analysis unit, and obtain a hybrid analysis result; the design can integrate the operation state of the circuit and external environmental factors to comprehensively judge the overall operation of the circuit.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that the following descriptions are only illustrative and not restrictive, and that the scope of the present invention is not limited to the above embodiments: those skilled in the art can still make modifications or changes to the embodiments described in the foregoing embodiments, or make equivalent substitutions for some features, within the scope of the disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (7)
1. An intelligent IT online circuit detection monitoring device comprises a power input end, a circuit and electric equipment, wherein the power input end is electrically connected with the electric equipment through the circuit; the monitoring device is characterized by comprising a conventional monitoring module, a fault analysis module and an early warning module;
the conventional monitoring module comprises an internal monitoring unit and an external monitoring unit, wherein the internal monitoring unit is used for monitoring internal operation parameters of the circuit, and the external monitoring unit is used for acquiring environmental parameters of circuit operation;
the fault analysis module comprises an internal fault analysis unit, an external fault analysis unit and a hybrid analysis unit, wherein the internal fault analysis unit is used for analyzing based on data acquired by the internal monitoring unit and obtaining an internal fault analysis result; the external fault analysis unit is used for analyzing based on the data acquired by the external monitoring unit and obtaining an external fault analysis result; the mixed analysis unit is used for carrying out mixed analysis based on the analysis results of the internal fault analysis unit and the external fault analysis unit and obtaining a mixed analysis result;
the early warning module is used for outputting an early warning signal based on an analysis result;
the inside monitoring unit includes power input monitoring subunit, circuit monitoring subunit and with electric monitoring subunit, power input monitoring subunit includes power input monitor, power input monitoring subunit disposes power input monitoring strategy, power input monitoring strategy includes: firstly, a power input monitor is arranged at a power input end, and the input electric quantity, the input current value and the input voltage value of the power input end are obtained through the power input monitor;
the line monitoring subunit comprises a line specification memory, a line monitor and a line temperature sensor; the line monitoring subunit is configured with a line monitoring strategy, which includes: acquiring the line length and the line diameter in a line specification memory; acquiring an output current value, an output voltage value and an output electric quantity of a line output end through a line monitor; acquiring the line temperature in the line running state through a line temperature sensor;
the power consumption monitoring subunit includes power detector and consumer temperature sensor, the power consumption monitoring subunit disposes the power consumption monitoring strategy, the power consumption monitoring strategy includes: acquiring the operating power of the electric equipment in the operating state through a power detector; and acquiring the equipment temperature of the electric equipment in the running state through the electric equipment temperature sensor.
2. An intelligent IT online circuit detection monitoring device as claimed in claim 1, wherein the external monitoring unit comprises a vibration sensor and an external temperature sensor, the external monitoring unit is configured with an external monitoring strategy, the external monitoring strategy comprises: the vibration frequency of the electric equipment in the running state is obtained through the vibration sensor, and the external temperature of the circuit in the environment is obtained through the external temperature sensor.
3. An intelligent IT online circuit detection and monitoring device as claimed in claim 2, wherein the internal fault analysis unit is configured with power output detection strategy, the power output detection strategy comprises: firstly, substituting the line length and the line diameter into a line loss formula to obtain a line resistance coefficient; substituting the input current value and the output current value into a current loss formula to obtain a current loss coefficient; substituting the input voltage value and the output voltage value into a voltage loss formula to obtain a voltage loss coefficient; substituting the input electric quantity and the output electric quantity into an electric quantity loss formula to obtain an electric quantity loss coefficient;
substituting the linear resistance coefficient, the current loss coefficient, the voltage loss coefficient and the electric quantity loss coefficient into a loss correction formula to obtain a loss correction coefficient;
and outputting a line transmission loss fault signal when the loss correction coefficient is greater than or equal to the first loss correction threshold value.
4. An intelligent IT online circuit detection and monitoring device as claimed in claim 3, wherein the internal fault analysis unit is further configured with a power consumption detection strategy, the power consumption detection strategy comprising: substituting the line length and the line diameter into a line bearing formula to obtain a line bearing coefficient; substituting the output current value, the output voltage value and the running power into a running load formula to obtain a running load factor; subtracting the line bearing coefficient from the running bearing coefficient to obtain a bearing difference value;
and outputting a bearing fault signal when the bearing difference value is greater than or equal to the first bearing threshold value.
5. The intelligent IT online circuit detection monitoring device according to claim 4, wherein the internal monitoring unit further comprises an operation duration monitoring subunit, the operation duration monitoring subunit is configured with an operation duration monitoring sub-strategy, and the operation duration monitoring sub-strategy comprises: acquiring the running time of the line in the electrified state in one day, continuously acquiring the running time of the line in the electrified state in the first unit number of days, calculating an average value, and setting the average value as the running time of the line in one day;
the internal fault analysis unit is further configured with an internal operation loss evaluation strategy, which includes: firstly, substituting the line temperature and the running power of electric equipment in a power-on state into a line basic loss formula to obtain a line basic loss coefficient; then obtaining the basic loss coefficients of the first line selection quantity within one day, solving the average value of the basic loss coefficients of the first line selection quantity, and setting the average value as a daily basic line loss reference value; substituting the daily basic line loss reference value and the daily operation time of the line into a daily average loss formula of the line to obtain a daily average line loss coefficient;
accumulating daily average line loss coefficients of each day to obtain the daily line accumulated loss coefficients; when the line accumulated loss coefficient is larger than or equal to a first line loss early warning threshold value, outputting a first line loss early warning signal; when the accumulated line loss coefficient is larger than or equal to a second loss early warning threshold value, outputting a second line loss early warning signal; and outputting a third line loss early warning signal when the line accumulated loss coefficient is greater than or equal to a third loss early warning threshold value.
6. An intelligent IT online circuit detection and monitoring device according to claim 5, wherein the external fault analysis unit is configured with an external fault analysis strategy, and the external fault analysis strategy comprises: when the electric equipment is in an operating state, acquiring the vibration frequency and the external temperature of the electric equipment in a first external monitoring number in the operating state within one day; substituting the vibration frequency, the external temperature and the daily operation time of the line of the first external monitoring quantity of the electric equipment in the operation state into an external loss basic calculation formula to obtain an external daily loss basic reference coefficient;
continuously acquiring an external daily loss basic reference coefficient of a first unit number of days, calculating an average value of the external daily loss basic reference coefficients of the first unit number of days, and setting the average value as a daily average external loss coefficient;
accumulating daily average external loss coefficients of each day to obtain daily external accumulated loss coefficients; when the external accumulated loss coefficient is larger than or equal to a first external loss early warning threshold value, outputting a first external loss early warning signal; when the external accumulated loss coefficient is larger than or equal to the second external loss early warning threshold value, outputting a second external loss early warning signal; and outputting a third external loss early warning signal when the external accumulated loss coefficient is greater than or equal to a third external loss early warning threshold value.
7. An intelligent IT online circuit detection monitoring device as claimed in claim 6, wherein the hybrid analysis unit is configured with a hybrid analysis strategy, the hybrid analysis strategy comprising: substituting the daily average line loss coefficient and the external daily loss basic reference coefficient obtained on the same day into a mixed calculation formula to obtain a daily mixed loss coefficient;
accumulating the daily mixed loss coefficients of each day to obtain the daily mixed accumulated loss coefficients, and outputting a first mixed loss early warning signal when the mixed accumulated loss coefficients are more than or equal to a first mixed loss early warning threshold value; when the mixed accumulation loss coefficient is larger than or equal to a second mixed loss early warning threshold value, outputting a second mixed loss early warning signal; and outputting a third mixed loss early warning signal when the mixed accumulated loss coefficient is greater than or equal to a third mixed loss early warning threshold value.
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