CN114964528A - Power electrical equipment temperature supervision and regulation system based on big data - Google Patents

Power electrical equipment temperature supervision and regulation system based on big data Download PDF

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Publication number
CN114964528A
CN114964528A CN202111238498.1A CN202111238498A CN114964528A CN 114964528 A CN114964528 A CN 114964528A CN 202111238498 A CN202111238498 A CN 202111238498A CN 114964528 A CN114964528 A CN 114964528A
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signal
value
overheating
early warning
overload
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CN114964528B (en
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杨裕翠
宋毅
曹凤莲
张昊慧
熊树
孙红兵
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Huaiyin Normal University
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Huaiyin Normal University
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02—Means for indicating or recording specially adapted for thermometers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/242—Home appliances

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  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)

Abstract

The invention discloses the technical field of power equipment temperature regulation and control, which is used for solving the problems that in the existing supervision and control process of the overheating phenomenon of power electrical equipment, monitoring and early warning are mostly carried out only through external temperature information of the power electrical equipment, the mode of monitoring the overheating phenomenon is too single, and the supervision strength is rough, and particularly discloses a power electrical equipment temperature supervision and regulation system based on big data, which comprises a data acquisition unit, a fault pre-judgment unit, a fault identification unit, an overheating judgment unit, a quantitative evaluation unit, an early warning processing unit, a critical judgment unit and a display terminal; according to the method, the overheating phenomenon of the electric power equipment is deeply, comprehensively and accurately judged through the modes of symbolic calibration, data calling, mean value processing, formulaic processing and substitution comparison, so that the management and control on the electric power equipment are effectively improved, and the stable operation of the electric power equipment is also guaranteed.

Description

Power electrical equipment temperature supervision and regulation system based on big data
Technical Field
The invention relates to the technical field of temperature regulation and control of power equipment, in particular to a power electrical equipment temperature supervision and regulation system based on big data.
Background
The main functions of the electric power and electric equipment are used for transmitting, distributing and converting electric energy, the functions are realized through the circulation of current, many faults and accidents of the electric equipment are caused by the overheating of the electric power and electric equipment, the overheating of the electric power and electric equipment is discovered and eliminated as soon as possible, the faults and accidents of an electric power system can be greatly reduced, and the power supply reliability is improved.
In the existing process of supervision and control of the overheating phenomenon of the electric power equipment, monitoring and early warning are mostly carried out only through external temperature information of the electric power equipment, the mode of monitoring the overheating phenomenon is single and one-sided, the supervision is rough, and stable operation of the electric power equipment is difficult to guarantee.
In order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that monitoring and early warning are mostly carried out only through external temperature information of electric power equipment in the existing process of monitoring, regulating and controlling the overheating phenomenon of the electric power equipment, the mode of monitoring the overheating phenomenon is too single and unilateral, the monitoring degree is rough, and the stable operation of the electric power equipment is difficult to ensure.
The purpose of the invention can be realized by the following technical scheme:
the electric power and electrical equipment temperature supervision and regulation system based on big data comprises a data acquisition unit, a fault pre-judgment unit, a fault identification unit, an overheating judgment unit, a quantitative evaluation unit, an early warning processing unit, a critical judgment unit and a display terminal;
the data acquisition unit is used for acquiring the operation data information of the electric power and electrical equipment in real time and sending the operation data information to the fault pre-judging unit;
the data acquisition unit is also used for acquiring internal cause data information and external cause data information influencing the temperature change of the electric power equipment in unit time and respectively sending the internal cause data information and the external cause data information to the fault identification unit and the quantitative evaluation unit;
the fault pre-judging unit is used for carrying out fault advanced judgment processing on the received operation data information, generating an overload prompting signal, an electric leakage prompting signal, an overheating prompting signal and a conventional prompting signal according to the fault advanced judgment processing, sending the overload prompting signal, the electric leakage prompting signal and the overheating prompting signal to the fault identifying unit and sending the conventional prompting signal to the quantitative evaluation unit;
the fault identification unit is used for carrying out fault identification analysis processing on the received overload prompt signal, the received electric leakage prompt signal and the received overheat prompt signal, generating an overload dangerous signal, a short-circuit dangerous signal, an overheat dangerous signal and a safety signal according to the fault identification analysis processing, and sending the overload dangerous signal, the short-circuit dangerous signal, the overheat dangerous signal and the safety signal to the overheat judgment unit;
the overheating judging unit is used for judging and processing overheating faults of the received carrier dangerous signals, short-circuit dangerous signals and overheating dangerous signals, generating general overheating signals, slight overheating signals and serious overheating signals according to the received carrier dangerous signals, short-circuit dangerous signals and overheating dangerous signals, and sending the general overheating signals, the slight overheating signals and the serious overheating signals to the early warning processing unit;
the quantitative evaluation unit is used for carrying out overall fault prediction evaluation processing on the received conventional prompt signal, generating a safety signal, a slight overheating signal and a severe overheating signal according to the overall fault prediction evaluation processing, and sending the safety signal, the slight overheating signal and the severe overheating signal to the early warning processing unit;
the early warning processing unit is used for carrying out overheating early warning rating processing on the received safety signal, the general overheating signal, the slight overheating signal and the serious overheating signal, generating a primary early warning signal, a secondary early warning signal and a tertiary early warning signal according to the received safety signal, the general overheating signal, the slight overheating signal and the serious overheating signal, sending the primary early warning signal and the secondary early warning signal to the display control unit, and sending the tertiary early warning signal to the critical judging unit;
the critical judging unit is used for carrying out danger prevention judging processing on the received three-level early warning signals and generating invalid danger judging signals and valid danger judging signals according to the danger prevention judging processing;
and the display terminal is used for displaying and outputting the received primary early warning signal, the secondary early warning signal and the tertiary early warning signal in a ringing alarm mode and an early warning lamp mode.
As a preferred embodiment of the present invention, the operation data information includes a current operation quantity value, a line resistance quantity value and a line temperature quantity value, which are respectively designated as the current operation quantity value, the line resistance quantity value and the line temperature quantity value
Figure DEST_PATH_IMAGE002
、
Figure DEST_PATH_IMAGE004
And
Figure DEST_PATH_IMAGE006
；
the intrinsic data information comprises an overload value and a short leakage value, the overload value represents the absolute value of the difference value between the actual current output by the electric power equipment and the rated current in unit time, and the short leakage value represents the ratio of the sum of the short-circuit fault frequency and the leakage fault frequency of the electric power equipment in unit time to the total running time of the equipment;
the external factor data information comprises a wear magnitude value, an environment pressure magnitude value and a physical heat dissipation value, wherein the wear magnitude value is used for representing the wear condition data among all line connectors in the electric power electrical equipment, the environment pressure magnitude value is used for representing the geometric growth value between the temperature change value and the humidity change value of the environment where the electric power electrical equipment is located, and the physical heat dissipation value is used for representing the data information of strong and weak heat dissipation performance of the electric power electrical equipment under the assistance of external heat dissipation equipment.
As a preferred embodiment of the present invention, the specific operation steps of the fault advance evaluation process are as follows:
electrical equipment capable of randomly acquiring electric power in real timeCurrent running magnitude in line
Figure 311886DEST_PATH_IMAGE002
Line resistance magnitude
Figure 674735DEST_PATH_IMAGE004
And line temperature magnitude
Figure 117348DEST_PATH_IMAGE006
And substituting it into the corresponding prescribed range
Figure DEST_PATH_IMAGE008
、
Figure DEST_PATH_IMAGE010
And
Figure DEST_PATH_IMAGE012
carrying out comparison analysis;
when current running magnitude
Figure 648562DEST_PATH_IMAGE002
Out of specification
Figure 176626DEST_PATH_IMAGE008
When the circuit resistance value is not equal to the preset value, an overload prompt signal is generated, and when the circuit resistance value is equal to the preset value
Figure 77586DEST_PATH_IMAGE004
When 0 value appears, it generates leakage prompt signal, when the line temp. value is
Figure 640285DEST_PATH_IMAGE006
Out of specification
Figure 607979DEST_PATH_IMAGE012
An overheat alert signal is generated at that time, while a regular alert signal is generated at all other times.
As a preferred embodiment of the present invention, the specific operation steps of the fault identification and analysis process are as follows:
step 1: when receiving the overload prompting signal, the overload value in the internal cause data information in a period of time is called according to the overload prompting signal
Figure DEST_PATH_IMAGE014
And carrying out mean value processing to obtain overload mean value
Figure DEST_PATH_IMAGE016
Will overload the mean value
Figure 951236DEST_PATH_IMAGE016
Respectively with maximum value of overload magnitude
Figure DEST_PATH_IMAGE018
And minimum value of overload magnitude
Figure DEST_PATH_IMAGE020
Making difference according to the formula
Figure DEST_PATH_IMAGE022
，
Figure DEST_PATH_IMAGE024
Calculating a first correction value
Figure DEST_PATH_IMAGE026
And a second correction value
Figure DEST_PATH_IMAGE028
Wherein, in the step (A),
Figure 102557DEST_PATH_IMAGE026
indicating mean value of overload
Figure DEST_PATH_IMAGE030
Maximum value of overload magnitude
Figure 50922DEST_PATH_IMAGE018
The difference value of (a) to (b),
Figure 690982DEST_PATH_IMAGE028
indicating mean value of overload
Figure 692173DEST_PATH_IMAGE016
Minimum value of overload magnitude
Figure 934936DEST_PATH_IMAGE020
A standard value for measuring the deviation between the first correction value and the second correction value is set, and is calibrated to be M according to a formula
Figure DEST_PATH_IMAGE032
，
Figure DEST_PATH_IMAGE034
Calculating a deviation value of the first degree
Figure DEST_PATH_IMAGE036
And a second degree of deviation value
Figure DEST_PATH_IMAGE038
Wherein the first degree deviation value
Figure 613173DEST_PATH_IMAGE036
And a second degree of deviation value
Figure 922669DEST_PATH_IMAGE038
For measuring the first deviation value
Figure 771677DEST_PATH_IMAGE026
And a second deviation value
Figure 693496DEST_PATH_IMAGE028
The precision degree of the standard value M;
when in use
Figure 475507DEST_PATH_IMAGE036
And
Figure 191791DEST_PATH_IMAGE038
all values are in the range of [90%, 100%]When it is time, it means that the overload signal is invalid and generates a safety signal, and othersIn all cases, generating overload danger signals;
step 2: when the leakage prompting signal is received, the short leakage value in the intrinsic data information within a period of time is adjusted according to the leakage prompting signal
Figure DEST_PATH_IMAGE040
Will short the value of leakage current
Figure 200198DEST_PATH_IMAGE040
Substituted into a predetermined range
Figure DEST_PATH_IMAGE042
Comparing the obtained values when the leakage current is short
Figure 689823DEST_PATH_IMAGE040
Within a preset range
Figure 936128DEST_PATH_IMAGE042
If so, generating a safety signal, otherwise, generating a short circuit danger signal;
step 3: when receiving the overheat prompt signal, the abrasion value, the environmental pressure value and the physical heat dissipation value in the external cause data information within a period of time are called according to the formula
Figure DEST_PATH_IMAGE044
To obtain the exogenous overheating value
Figure DEST_PATH_IMAGE046
Wherein, in the step (A),
Figure DEST_PATH_IMAGE048
、
Figure DEST_PATH_IMAGE050
and
Figure DEST_PATH_IMAGE052
respectively the wear magnitude
Figure DEST_PATH_IMAGE054
Environmental pressure measurement
Figure DEST_PATH_IMAGE056
And physical heat dissipation value
Figure DEST_PATH_IMAGE058
Coefficient of correction factor of, and
Figure DEST_PATH_IMAGE060
，
Figure DEST_PATH_IMAGE062
will be due to excessive heating value
Figure 344018DEST_PATH_IMAGE046
Corresponding preset value
Figure DEST_PATH_IMAGE064
Performing comparative analysis, when the exogenous superheat value is excessive
Figure 479202DEST_PATH_IMAGE046
Greater than or equal to the preset value
Figure 867458DEST_PATH_IMAGE064
When the temperature is too high, an overheat danger signal is generated, and when the temperature is too high
Figure 233849DEST_PATH_IMAGE046
Less than a predetermined value
Figure 416568DEST_PATH_IMAGE064
Then a security signal is generated.
As a preferred embodiment of the present invention, the specific operation steps of the overheat fault determination process are as follows:
when the overload danger signal, the short-circuit danger signal and the overheating danger signal are acquired simultaneously, a severe overheating signal is generated, when any two signals of the overload danger signal, the short-circuit danger signal and the overheating danger signal are acquired simultaneously, a slight overheating signal is generated, and under other conditions, a general overheating signal is generated.
As a preferred embodiment of the present invention, the overall failure prediction and evaluation process includes the following specific operation steps:
s1: when receiving the conventional prompt signal, the overload magnitude value in the intrinsic data information of the power electrical equipment in unit time is called
Figure DEST_PATH_IMAGE066
And short leakage value
Figure 773469DEST_PATH_IMAGE040
And the abrasion magnitude, the environment pressure magnitude and the physical heat dissipation quantity in the external factor data information are respectively calibrated as
Figure 965416DEST_PATH_IMAGE054
、
Figure 186313DEST_PATH_IMAGE056
And
Figure 680879DEST_PATH_IMAGE058
；
s2: according to the formula
Figure DEST_PATH_IMAGE068
To find out the fault overheating value
Figure DEST_PATH_IMAGE070
Wherein, in the step (A),
Figure DEST_PATH_IMAGE072
and
Figure DEST_PATH_IMAGE074
respectively, the magnitude of overload
Figure 259497DEST_PATH_IMAGE066
And short leakage value
Figure 989556DEST_PATH_IMAGE040
A coefficient of degree of failure of (D), and
Figure DEST_PATH_IMAGE076
，
Figure DEST_PATH_IMAGE078
，
Figure 268222DEST_PATH_IMAGE048
、
Figure 792744DEST_PATH_IMAGE050
and
Figure 735290DEST_PATH_IMAGE052
respectively the wear magnitude
Figure 144406DEST_PATH_IMAGE054
Environmental pressure application value
Figure 464529DEST_PATH_IMAGE056
And physical heat dissipation value
Figure 35319DEST_PATH_IMAGE058
Coefficient of correction factor of, and
Figure 808103DEST_PATH_IMAGE060
，
Figure 20909DEST_PATH_IMAGE062
；
s3: will superheat value
Figure 303861DEST_PATH_IMAGE070
With corresponding temperature threshold
Figure DEST_PATH_IMAGE080
Performing comparison analysis, and determining the overheating value
Figure 107869DEST_PATH_IMAGE070
Greater than a temperature threshold
Figure 102370DEST_PATH_IMAGE080
When the maximum value of the over-temperature value is less than the maximum value of the over-temperature value, a severe over-temperature signal is generated
Figure 118867DEST_PATH_IMAGE070
At a temperature threshold
Figure 23369DEST_PATH_IMAGE080
When the temperature is within the range of (1), a slight overheating signal is generated, and when the overheating value is within the range of (2)
Figure 326175DEST_PATH_IMAGE070
Less than a temperature threshold
Figure 181873DEST_PATH_IMAGE080
At a minimum value of (d), a safety signal is generated.
As a preferred embodiment of the present invention, the specific operation steps of the overheat warning rating process are as follows:
when a serious overheating signal is received, a primary early warning signal is generated, when a slight overheating signal is received, a secondary early warning signal is generated, and when a safety signal and a general overheating signal are received, a tertiary early warning signal is generated.
As a preferred embodiment of the present invention, the specific operation steps of the risk prevention discrimination processing are as follows:
further carrying out danger control treatment on the obtained three-level early warning signals, and sequentially calling fault superheat values in adjacent 3-5 unit times
Figure 736482DEST_PATH_IMAGE070
And carrying out curve drawing, outputting and displaying on a two-dimensional coordinate system, monitoring the whole trend change, generating an invalid danger judgment signal if the whole trend of the curve is smooth, otherwise, generating an effective danger judgment signal, and converting the three-stage early warning signal into a two-stage early warning signal for early warning output.
Compared with the prior art, the invention has the beneficial effects that:
1. by collecting data information directly related to the overheating phenomenon of the electric power equipment and performing comparison processing through symbolic calibration and substitution of reference values, the overheating phenomenon of the electric power equipment is efficiently and quickly monitored and controlled through representation data of the overheating of the electric power equipment, and stable operation of the electric power equipment is further guaranteed;
2. the method comprises the steps of carrying out deep data analysis operation according to fault overheating prompt signals, monitoring the electric power equipment from multiple angles and multiple processing modes, carrying out deep and accurate judgment on the overheating phenomenon of the electric power equipment by carrying out relevant data calling, mean value processing, difference processing, formulaic processing and standard value substitution comparison on different received prompt signals, thereby effectively improving the efficient management and control on the electric power equipment and effectively preventing electric power disasters caused by the overheating phenomenon;
3. through carrying out the dual danger to the lower tertiary early warning signal of overheated danger coefficient and distinguishing, and then effectual improvement is in accuracy and the high efficiency of distinguishing the electric power electrical equipment overheat phenomenon to guarantee the steady operation of electric power electrical equipment, prevented the electric power calamity that leads to because overheat phenomenon.
Drawings
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;
FIG. 2 is a block diagram of processing paths according to a second embodiment of the present invention;
FIG. 3 is a block diagram of a processing path according to a third embodiment of the present invention;
FIG. 4 is a block diagram of a processing path according to a fourth embodiment of the present invention;
FIG. 5 is a block diagram of processing paths according to a fifth embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
as shown in fig. 1, the power electrical equipment temperature supervision and adjustment system based on big data comprises a data acquisition unit, a fault pre-judgment unit, a fault identification unit, an overheating judgment unit, a quantitative evaluation unit, an early warning processing unit, a critical judgment unit and a display terminal;
the data acquisition unit is used for acquiring the operation data information of the electric power electrical equipment in real time and sending the operation data information to the fault pre-judging unit;
it should be noted that the operation data information is data information representing a real-time operation state of the power electrical equipment, and the operation data information includes a current operation quantity value, a line resistance quantity value and a line temperature quantity value, and the current operation quantity value, the line resistance quantity value and the line temperature quantity value are respectively designated as a current operation quantity value, a line resistance quantity value and a line temperature quantity value
Figure 620125DEST_PATH_IMAGE002
、
Figure 969197DEST_PATH_IMAGE004
And
Figure 203870DEST_PATH_IMAGE006
in particular, the magnitude of the current operation
Figure 296591DEST_PATH_IMAGE002
Representing real-time current-representative, line-resistance values of an electrical power apparatus
Figure 34739DEST_PATH_IMAGE004
Representing real-time and random values of resistance representation of part of the line in an electrical power plant, while the line temperature measures
Figure 318828DEST_PATH_IMAGE006
For representing real-time temperature performance values of lines in the power electrical equipment;
the data acquisition unit is also used for acquiring internal cause data information and external cause data information influencing the temperature change of the electric power equipment in unit time and respectively sending the internal cause data information and the external cause data information to the fault identification unit and the quantitative evaluation unit;
it should be noted that the intrinsic data information is used for indicating data information of temperature change caused by self operation of the power electrical equipment in the operation process, the intrinsic data information includes an overload value and a short leakage value, the overload value indicates an absolute value of a difference value between an actual current output by the power electrical equipment in unit time and a rated current, and the actual current is calibrated to be the rated current
Figure DEST_PATH_IMAGE082
Nominal current is calibrated as
Figure DEST_PATH_IMAGE084
According to the formula
Figure DEST_PATH_IMAGE086
Determining the overload value of the electrical power equipment
Figure DEST_PATH_IMAGE088
Wherein t represents a unit time, and t may represent a specific time of 1 hour;
the short leakage value is used for representing data information of analysis of short-circuit fault conditions and leakage fault conditions of the electric power equipment, the short leakage value represents the ratio of the sum of the short-circuit fault times and the leakage fault times of the electric power equipment in unit time to the total operation time of the equipment, and the short-circuit fault times, the leakage fault times and the total operation time of the equipment are respectively calibrated as
Figure DEST_PATH_IMAGE090
、
Figure DEST_PATH_IMAGE092
And
Figure DEST_PATH_IMAGE094
according to the formula
Figure DEST_PATH_IMAGE096
To obtain a short leakage value
Figure DEST_PATH_IMAGE098
；
The external factor data information is used for representing data information of temperature rise of the electric power equipment caused by external natural factors in the operation process, the external factor data information comprises an abrasion magnitude value, an environment pressure magnitude value and a physical heat dissipation value, the abrasion magnitude value is used for representing abrasion condition data occurring between line connectors in the electric power equipment, the environment pressure magnitude value is used for representing a geometric growth value between a temperature change value and a humidity change value of the environment where the electric power equipment is located, the larger the expression value of the environment pressure magnitude value is, the more serious the environment pressure where the electric power equipment is located is, the electric power equipment is easy to generate an overheat fault phenomenon, and the physical heat dissipation value is used for representing data information of strong and weak heat dissipation performance of the electric power equipment under the assistance of external heat dissipation equipment;
the fault pre-judging unit is used for carrying out fault advanced judging processing on the received operation data information, generating an overload prompting signal, an electric leakage prompting signal, an overheating prompting signal and a conventional prompting signal according to the fault advanced judging processing, sending the overload prompting signal, the electric leakage prompting signal and the overheating prompting signal to the fault identifying unit and sending the conventional prompting signal to the quantitative evaluating unit;
the fault identification unit is used for carrying out fault identification analysis processing on the received overload prompt signal, the received electric leakage prompt signal and the received overheat prompt signal, generating an overload dangerous signal, a short-circuit dangerous signal, an overheat dangerous signal and a safety signal according to the fault identification analysis processing, and sending the overload dangerous signal, the short-circuit dangerous signal, the overheat dangerous signal and the safety signal to the overheat judgment unit;
the overheating judging unit is used for judging and processing overheating faults of the received carrier dangerous signals, short-circuit dangerous signals and overheating dangerous signals, generating general overheating signals, slight overheating signals and serious overheating signals according to the received carrier dangerous signals, short-circuit dangerous signals and overheating dangerous signals, and sending the general overheating signals, the slight overheating signals and the serious overheating signals to the early warning processing unit;
the quantitative evaluation unit is used for carrying out overall fault prediction evaluation processing on the received conventional prompt signal, generating a safety signal, a slight overheating signal and a serious overheating signal according to the overall fault prediction evaluation processing, and sending the safety signal, the slight overheating signal and the serious overheating signal to the early warning processing unit;
the early warning processing unit is used for carrying out overheating early warning rating processing on the received safety signal, the general overheating signal, the slight overheating signal and the serious overheating signal, generating a primary early warning signal, a secondary early warning signal and a tertiary early warning signal according to the received safety signal, the general overheating signal, the slight overheating signal and the serious overheating signal, sending the primary early warning signal and the secondary early warning signal to the display control unit, and sending the tertiary early warning signal to the critical judging unit;
the critical judging unit is used for carrying out danger prevention judging processing on the received three-level early warning signals and generating invalid danger judging signals and valid danger judging signals according to the danger prevention judging processing;
the display terminal is used for displaying and outputting the received primary early warning signal, the secondary early warning signal and the tertiary early warning signal in a ringing alarm mode and an early warning lamp mode.
Example two:
as shown in fig. 1 and 2, the data acquisition unit is configured to acquire operation data information of the electrical power equipment in real time and send the operation data information to the failure pre-determination unit;
the fault pre-judging unit is used for carrying out fault advanced judgment processing on the received operation data information, and comprises the following specific operation steps:
random real-time acquisition of current operation magnitude in power electrical equipment line
Figure 867278DEST_PATH_IMAGE002
Line resistance magnitude
Figure 372208DEST_PATH_IMAGE004
And line temperature magnitude
Figure 263941DEST_PATH_IMAGE006
And substituting it into the corresponding prescribed range
Figure 556120DEST_PATH_IMAGE008
、
Figure 457080DEST_PATH_IMAGE010
And
Figure 754200DEST_PATH_IMAGE012
carrying out comparison analysis;
when current running magnitude
Figure 816834DEST_PATH_IMAGE002
Out of the specified range
Figure 832194DEST_PATH_IMAGE008
When the circuit resistance value is not equal to the preset value, an overload prompt signal is generated, and when the circuit resistance value is equal to the preset value
Figure 536845DEST_PATH_IMAGE004
When 0 value appears, it generates leakage prompt signal, when the line temp. value is
Figure 954051DEST_PATH_IMAGE006
Out of specification
Figure 623805DEST_PATH_IMAGE012
Generating an overheating prompt signal in the process, and generating a conventional prompt signal in other cases;
and the overload prompt signal, the electric leakage prompt signal and the overheat prompt signal are all sent to a fault recognition unit for fault recognition analysis processing, and the specific operation steps are as follows:
step 1: when receiving the overload prompting signal, the overload value in the internal cause data information in a period of time is called according to the overload value
Figure 794458DEST_PATH_IMAGE014
And carrying out mean value processing to obtain overload mean value
Figure 183546DEST_PATH_IMAGE016
Will overload the mean value
Figure 41781DEST_PATH_IMAGE016
Respectively with maximum value of overload magnitude
Figure 467077DEST_PATH_IMAGE018
And minimum value of overload magnitude
Figure 676341DEST_PATH_IMAGE020
Making difference according to the formula
Figure 110865DEST_PATH_IMAGE022
，
Figure 964551DEST_PATH_IMAGE024
Calculating a first correction value
Figure 950962DEST_PATH_IMAGE026
And a second correction value
Figure 490265DEST_PATH_IMAGE028
Wherein, in the step (A),
Figure 587534DEST_PATH_IMAGE026
indicating mean value of overload
Figure 295727DEST_PATH_IMAGE030
Maximum value of overload magnitude
Figure 718619DEST_PATH_IMAGE018
The difference value of (a) to (b),
Figure 512262DEST_PATH_IMAGE028
indicating mean value of overload
Figure DEST_PATH_IMAGE111
Minimum value of overload magnitude
Figure DEST_PATH_IMAGE112
A standard value for measuring the deviation between the first correction value and the second correction value is set, and is calibrated to be M according to a formula
Figure 255965DEST_PATH_IMAGE032
，
Figure 818664DEST_PATH_IMAGE034
Calculating a deviation value of the first degree
Figure 146878DEST_PATH_IMAGE036
And a second degree of deviation value
Figure 427817DEST_PATH_IMAGE038
Wherein the first degree deviation value
Figure 866889DEST_PATH_IMAGE036
And a second degree of deviation value
Figure 549674DEST_PATH_IMAGE038
For measuring the first deviation value
Figure 422690DEST_PATH_IMAGE026
And a second deviation value
Figure 315560DEST_PATH_IMAGE028
The precision degree of the standard value M;
when in use
Figure 699268DEST_PATH_IMAGE036
And
Figure 970980DEST_PATH_IMAGE038
all values are in the range of [90%, 100%]If so, indicating that the overload signal is invalid and generating a safety signal, and otherwise, generating an overload danger signal;
step 2: when the leakage prompting signal is received, the short leakage value in the intrinsic data information within a period of time is adjusted according to the leakage prompting signal
Figure 906575DEST_PATH_IMAGE040
Will short the value of leakage current
Figure 896528DEST_PATH_IMAGE040
Substituted into a predetermined range
Figure 588321DEST_PATH_IMAGE042
Comparing the obtained values when the leakage current is short
Figure 104753DEST_PATH_IMAGE040
Within a preset range
Figure 86616DEST_PATH_IMAGE042
If so, generating a safety signal, otherwise, generating a short circuit danger signal;
step 3: when receiving the overheat prompt signal, the abrasion value, the environmental pressure value and the physical heat dissipation value in the external factor data information within a period of time are called according to the formula
Figure 829444DEST_PATH_IMAGE044
To obtain the exogenous overheating value
Figure 820534DEST_PATH_IMAGE046
Wherein, in the step (A),
Figure 830953DEST_PATH_IMAGE048
、
Figure 108350DEST_PATH_IMAGE050
and
Figure 338474DEST_PATH_IMAGE052
respectively the wear magnitude
Figure 602097DEST_PATH_IMAGE054
Environmental pressure measurement
Figure 827542DEST_PATH_IMAGE056
And physical heat dissipation value
Figure 416786DEST_PATH_IMAGE058
Coefficient of correction factor of, and
Figure 367162DEST_PATH_IMAGE060
，
Figure 434475DEST_PATH_IMAGE062
will be due to excessive heating value
Figure 780006DEST_PATH_IMAGE046
Corresponding preset value
Figure 8993DEST_PATH_IMAGE064
Performing comparative analysis, when the exogenous superheat value is excessive
Figure 72764DEST_PATH_IMAGE046
Greater than or equal to the preset value
Figure 678189DEST_PATH_IMAGE064
When the temperature is too high, an overheat danger signal is generated, and when the temperature is too high
Figure 517707DEST_PATH_IMAGE046
Less than a predetermined value
Figure 42229DEST_PATH_IMAGE064
If so, generating a safety signal;
the overheating judging unit is used for judging and processing overheating faults of the received carrier dangerous signals, short-circuit dangerous signals and overheating dangerous signals, and the specific operation steps are as follows:
when the overload dangerous signal, the short-circuit dangerous signal and the overheating dangerous signal are acquired simultaneously, a serious overheating signal is generated, when any two signals of the overload dangerous signal, the short-circuit dangerous signal and the overheating dangerous signal are acquired simultaneously, a slight overheating signal is generated, and under other conditions, a general overheating signal is generated and is sent to the early warning processing unit.
Example three:
as shown in fig. 1 and 3, when the fault pre-judging unit generates the normal prompt signal, the quantitative evaluation unit is configured to perform overall fault prediction evaluation processing on the received normal prompt signal, and the specific operation steps are as follows:
s1: when receiving the conventional prompt signal, the overload magnitude value in the intrinsic data information of the power electrical equipment in unit time is called
Figure 203083DEST_PATH_IMAGE066
And short leakage value
Figure 736832DEST_PATH_IMAGE040
And the abrasion magnitude, the environment pressure magnitude and the physical heat dissipation quantity in the external factor data information are respectively calibrated as
Figure 666742DEST_PATH_IMAGE054
、
Figure 768690DEST_PATH_IMAGE056
And
Figure 541474DEST_PATH_IMAGE058
；
s2: according to the formula
Figure 4815DEST_PATH_IMAGE068
To find out the fault overheating value
Figure 320390DEST_PATH_IMAGE070
Wherein, in the step (A),
Figure 186715DEST_PATH_IMAGE072
and
Figure 322161DEST_PATH_IMAGE074
respectively, the magnitude of overload
Figure 197713DEST_PATH_IMAGE066
And short leakage value
Figure 102215DEST_PATH_IMAGE040
Coefficient of degree of failure, and
Figure DEST_PATH_IMAGE113
，
Figure 575660DEST_PATH_IMAGE078
，
Figure 198402DEST_PATH_IMAGE048
、
Figure 612066DEST_PATH_IMAGE050
and
Figure 636654DEST_PATH_IMAGE052
respectively the wear magnitude
Figure 985726DEST_PATH_IMAGE054
Environmental pressure measurement
Figure 220399DEST_PATH_IMAGE056
And physical heat dissipation value
Figure 546076DEST_PATH_IMAGE058
Coefficient of correction factor of, and
Figure 690749DEST_PATH_IMAGE060
，
Figure 335357DEST_PATH_IMAGE062
；
s3: will superheat value
Figure 667112DEST_PATH_IMAGE070
With corresponding temperature threshold
Figure 422579DEST_PATH_IMAGE080
Performing comparison analysis, and determining the overheating value
Figure 156180DEST_PATH_IMAGE070
Greater than a temperature threshold
Figure 611169DEST_PATH_IMAGE080
When the maximum value of the over-temperature value is less than the maximum value of the over-temperature value, a severe over-temperature signal is generated
Figure 554855DEST_PATH_IMAGE070
At a temperature threshold
Figure 254957DEST_PATH_IMAGE080
When the temperature is within the range of (1), a slight overheating signal is generated, and when the overheating value is within the range of (2)
Figure 108644DEST_PATH_IMAGE070
Less than a temperature threshold
Figure 829475DEST_PATH_IMAGE080
And when the value is the minimum value, generating safety signals and sending the safety signals to the early warning processing unit.
Example four:
as shown in fig. 1 and 4, the early warning processing unit is configured to perform an overheating early warning rating process on the received safety signal, the general overheating signal, the slight overheating signal, and the severe overheating signal, and includes the following specific operation steps:
when a serious overheating signal is received, a primary early warning signal is generated, when a slight overheating signal is received, a secondary early warning signal is generated, when a safety signal and a general overheating signal are received, a tertiary early warning signal is generated, and the primary early warning signal and the secondary early warning signal are sent to the display control unit.
Example five:
as shown in fig. 1 and 5, when the early warning processing unit generates a three-level early warning signal, the critical judgment unit is configured to perform danger prevention judgment processing on the received three-level early warning signal, and the specific operation steps are as follows:
and further carrying out danger management and control processing on the acquired three-level early warning signals, wherein the specific operation steps are as follows: sequentially calling the fault superheat values in adjacent 3-5 unit times
Figure 401402DEST_PATH_IMAGE070
Carrying out curve drawing, outputting and displaying on a two-dimensional coordinate system, monitoring the whole trend change, generating an invalid danger judgment signal if the whole trend of the curve is smooth, sending a three-level early warning signal to a display terminal according to the invalid danger judgment signal, generating an effective danger judgment signal if the whole trend of the curve is not smooth,and the third-stage early warning signal is converted into a second-stage early warning signal for early warning output;
it should be noted that the method further judges the danger through the three-level early warning signals with lower overheating danger coefficient, so as to effectively improve the accuracy and high efficiency of judging the overheating phenomenon of the electric power equipment, thereby ensuring the stable operation of the electric power equipment and preventing the electric power disaster caused by the overheating phenomenon;
the display terminal is used for displaying and outputting the received first-level early warning signal, the second-level early warning signal and the third-level early warning signal in a ringing alarm mode and an early warning lamp mode, and it needs to be explained that when the display terminal receives the first-level early warning signal instruction, the display terminal warns in a red intermittent flashing early warning lamp mode according to the instruction, and performs synchronous early warning in an alarm ring mode, when the display terminal receives the second-level early warning signal instruction, the display terminal warns in a yellow intermittent flashing early warning lamp mode according to the instruction, and performs synchronous early warning in an alarm ring mode according to the alarm ring mode, and when the display terminal receives the third-level early warning signal instruction, the display terminal warns in a green intermittent flashing early warning lamp mode according to the instruction.
The above formulas are obtained by collecting a large amount of data and performing software simulation, and the coefficients in the formulas are set by those skilled in the art according to actual conditions.
When the fault advanced judging device is used, relevant data information which can directly reflect the overheating phenomenon of the electric power and electrical equipment is collected to carry out fault advanced judging processing, and the current operation quantity value which is collected in real time
Figure DEST_PATH_IMAGE115
Line resistance magnitude
Figure DEST_PATH_IMAGE117
And line temperature magnitude
Figure DEST_PATH_IMAGE119
Respectively substituting into corresponding specified ranges for comparison and analysis, and determining the power electrical equipmentWhether the circuit has current overload, circuit leakage and temperature overheating or not is judged, a judgment signal for judging whether the power electrical equipment has faults or not is obtained preliminarily, and representation data of the power electrical equipment overheating are collected, analyzed and compared, so that the power electrical equipment overheating phenomenon is controlled quickly, and stable operation of the power electrical equipment is further guaranteed;
the method comprises the steps of carrying out deep data analysis operation according to fault overheating prompting signals, carrying out related data calling, mean value processing, difference processing and formulaic processing on received different prompting signals and substituting and comparing standard values, thus carrying out deep and accurate judgment on current overload in the overheating phenomenon of the electric power equipment, effectively improving accurate control on the electric power equipment, carrying out efficient and comprehensive monitoring on the overheating phenomenon of the electric power equipment through multiple processing modes, further ensuring stable operation of the electric power equipment and effectively preventing electric power disasters caused by the overheating phenomenon;
through carrying out dual danger judgment processing on the lower tertiary early warning signal of the overheated danger coefficient, the accuracy and the high efficiency of judging the overheating phenomenon of the electric power equipment are effectively improved, so that the stable operation of the electric power equipment is ensured, and the electric power disaster caused by the overheating phenomenon is prevented.
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 (8)

1. The electric power and electrical equipment temperature supervision and regulation system based on big data is characterized by comprising a data acquisition unit, a fault pre-judgment unit, a fault identification unit, an overheating judgment unit, a quantitative evaluation unit, an early warning processing unit, a critical judgment unit and a display terminal;
the data acquisition unit is used for acquiring the operation data information of the electric power and electrical equipment in real time and sending the operation data information to the fault pre-judging unit;
the data acquisition unit is also used for acquiring internal cause data information and external cause data information which influence the temperature change of the electric power electrical equipment in unit time and respectively sending the internal cause data information and the external cause data information to the fault identification unit and the quantitative evaluation unit;
the fault pre-judging unit is used for carrying out fault advanced judgment processing on the received operation data information, generating an overload prompting signal, an electric leakage prompting signal, an overheating prompting signal and a conventional prompting signal according to the fault advanced judgment processing, sending the overload prompting signal, the electric leakage prompting signal and the overheating prompting signal to the fault identifying unit and sending the conventional prompting signal to the quantitative evaluation unit;
the fault identification unit is used for carrying out fault identification analysis processing on the received overload prompt signal, the received electric leakage prompt signal and the received overheat prompt signal, generating an overload dangerous signal, a short-circuit dangerous signal, an overheat dangerous signal and a safety signal according to the fault identification analysis processing, and sending the overload dangerous signal, the short-circuit dangerous signal, the overheat dangerous signal and the safety signal to the overheat judgment unit;
the overheating judging unit is used for judging and processing overheating faults of the received carrier dangerous signals, short-circuit dangerous signals and overheating dangerous signals, generating general overheating signals, slight overheating signals and serious overheating signals according to the received carrier dangerous signals, short-circuit dangerous signals and overheating dangerous signals, and sending the general overheating signals, the slight overheating signals and the serious overheating signals to the early warning processing unit;
the quantitative evaluation unit is used for carrying out overall fault prediction evaluation processing on the received conventional prompt signal, generating a safety signal, a slight overheating signal and a serious overheating signal according to the overall fault prediction evaluation processing, and sending the safety signal, the slight overheating signal and the serious overheating signal to the early warning processing unit;
the early warning processing unit is used for carrying out overheating early warning rating processing on the received safety signal, the general overheating signal, the slight overheating signal and the serious overheating signal, generating a primary early warning signal, a secondary early warning signal and a tertiary early warning signal according to the received safety signal, the general overheating signal, the slight overheating signal and the serious overheating signal, sending the primary early warning signal and the secondary early warning signal to the display control unit, and sending the tertiary early warning signal to the critical judging unit;
the critical judging unit is used for carrying out danger prevention judging processing on the received three-level early warning signals and generating invalid danger judging signals and valid danger judging signals according to the danger prevention judging processing;
and the display terminal is used for displaying and outputting the received primary early warning signal, the secondary early warning signal and the tertiary early warning signal in a ringing alarm mode and an early warning lamp mode.
2. A power electrical equipment temperature supervisory conditioning system according to claim 1 based on big data, wherein the operational data information comprises a current operational magnitude, a line resistance magnitude and a line temperature magnitude, the current operational magnitude, the line resistance magnitude and the line temperature magnitude being respectively calibrated as being
Figure 867922DEST_PATH_IMAGE002
、
Figure 437444DEST_PATH_IMAGE004
And
Figure 712567DEST_PATH_IMAGE006
；
the intrinsic data information comprises an overload value and a short leakage value, the overload value represents the absolute value of the difference value between the actual current output by the electric power equipment and the rated current in unit time, and the short leakage value represents the ratio of the sum of the short-circuit fault frequency and the leakage fault frequency of the electric power equipment in unit time to the total running time of the equipment;
the external factor data information comprises a wear magnitude value, an environment pressure magnitude value and a physical heat dissipation value, wherein the wear magnitude value is used for representing the wear condition data among all line connectors in the electric power electrical equipment, the environment pressure magnitude value is used for representing the geometric growth value between the temperature change value and the humidity change value of the environment where the electric power electrical equipment is located, and the physical heat dissipation value is used for representing the data information of strong and weak heat dissipation performance of the electric power electrical equipment under the assistance of external heat dissipation equipment.
3. A big data based power electrical equipment temperature supervision and regulation system according to claim 1 characterized by the following specific operation steps of fault lead evaluation process:
random real-time acquisition of current operation magnitude in power electrical equipment line
Figure 700246DEST_PATH_IMAGE002
Line resistance magnitude
Figure 832150DEST_PATH_IMAGE004
And line temperature magnitude
Figure 29913DEST_PATH_IMAGE006
And substituting it into the corresponding prescribed range
Figure 211190DEST_PATH_IMAGE008
、
Figure 505906DEST_PATH_IMAGE010
And
Figure 480815DEST_PATH_IMAGE012
carrying out comparison analysis;
when current running magnitude
Figure 41240DEST_PATH_IMAGE002
Out of specification
Figure 658166DEST_PATH_IMAGE008
When the circuit resistance value is not equal to the preset value, an overload prompt signal is generated, and when the circuit resistance value is equal to the preset value
Figure 807388DEST_PATH_IMAGE004
When 0 value appears, it generates leakage prompt signal, when the line temp. value is
Figure 592679DEST_PATH_IMAGE006
Out of specification
Figure 765034DEST_PATH_IMAGE012
An overheat alert signal is generated at that time, while a regular alert signal is generated at all other times.
4. A big data based power electrical equipment temperature supervision and regulation system according to claim 1, characterized by the following specific operational steps of fault identification analysis process:
step 1: when receiving the overload prompting signal, the overload value in the internal cause data information in a period of time is called according to the overload prompting signal
Figure 779127DEST_PATH_IMAGE014
And carrying out mean value processing to obtain overload mean value
Figure 799167DEST_PATH_IMAGE016
Will overload the mean value
Figure 381458DEST_PATH_IMAGE016
Respectively with maximum value of overload magnitude
Figure 900164DEST_PATH_IMAGE018
And minimum value of overload magnitude
Figure 170477DEST_PATH_IMAGE020
Making difference according to the formula
Figure 966395DEST_PATH_IMAGE022
，
Figure 109800DEST_PATH_IMAGE024
Calculating a first correction value
Figure 991168DEST_PATH_IMAGE026
And a second correction value
Figure 301058DEST_PATH_IMAGE028
Wherein, in the step (A),
Figure 76116DEST_PATH_IMAGE026
indicating mean value of overload
Figure 210DEST_PATH_IMAGE030
Maximum value of overload magnitude
Figure 8355DEST_PATH_IMAGE018
The difference value of (a) to (b),
Figure 43307DEST_PATH_IMAGE028
indicating mean value of overload
Figure 876134DEST_PATH_IMAGE016
Minimum value of overload magnitude
Figure 846495DEST_PATH_IMAGE020
A standard value for measuring the deviation between the first correction value and the second correction value is set, and is calibrated to be M according to a formula
Figure 702455DEST_PATH_IMAGE032
，
Figure 400153DEST_PATH_IMAGE034
Calculating a deviation value of the first degree
Figure 290749DEST_PATH_IMAGE036
And a second degree of deviation value
Figure 936406DEST_PATH_IMAGE038
Wherein the first degree deviation value
Figure 341979DEST_PATH_IMAGE036
And a second degree of deviation value
Figure 984313DEST_PATH_IMAGE038
For measuring the first deviation value
Figure 339202DEST_PATH_IMAGE026
And a second deviation value
Figure 776000DEST_PATH_IMAGE028
The precision degree of the standard value M;
when in use
Figure 731186DEST_PATH_IMAGE036
And
Figure 646053DEST_PATH_IMAGE038
all values are in the range of [90%, 100%]If so, indicating that the overload signal is invalid and generating a safety signal, and otherwise, generating an overload danger signal;
step 2: when the leakage prompting signal is received, the short leakage value in the intrinsic data information within a period of time is adjusted according to the leakage prompting signal
Figure 619563DEST_PATH_IMAGE040
Will short the value of leakage current
Figure 555158DEST_PATH_IMAGE040
Substituted into a predetermined range
Figure 607427DEST_PATH_IMAGE042
Comparing the obtained values when the leakage current is short
Figure 201351DEST_PATH_IMAGE043
Within a preset range
Figure 655466DEST_PATH_IMAGE042
If the current is in the short circuit state, generating a safety signal, otherwise, generating a short circuit danger signal;
step 3: when receiving the overheat prompt signal, the abrasion value, the environmental pressure value and the physical heat dissipation value in the external cause data information within a period of time are called according to the formula
Figure 824279DEST_PATH_IMAGE045
To obtain the exogenous overheating value
Figure 363845DEST_PATH_IMAGE047
Wherein, in the step (A),
Figure 463257DEST_PATH_IMAGE049
、
Figure 896512DEST_PATH_IMAGE051
and
Figure 846013DEST_PATH_IMAGE053
respectively the wear magnitude
Figure 482662DEST_PATH_IMAGE055
Environmental pressure measurement
Figure 74181DEST_PATH_IMAGE057
And physical heat dissipation value
Figure 361942DEST_PATH_IMAGE059
Coefficient of correction factor of, and
Figure 482345DEST_PATH_IMAGE061
，
Figure 573667DEST_PATH_IMAGE063
will be due to excessive heating value
Figure 562351DEST_PATH_IMAGE047
Corresponding preset value
Figure 845565DEST_PATH_IMAGE065
Performing comparative analysis, when the exogenous superheat value is excessive
Figure 481077DEST_PATH_IMAGE047
Greater than or equal to the preset value
Figure 341586DEST_PATH_IMAGE065
When the temperature is too high, an overheat danger signal is generated, and when the temperature is too high
Figure 9327DEST_PATH_IMAGE047
Less than a predetermined value
Figure 538527DEST_PATH_IMAGE065
Then a security signal is generated.
5. A big data based power electrical equipment temperature supervision and regulation system according to claim 4 characterized in that the specific operation steps of the overheat fault judgment process are as follows:
when the overload danger signal, the short circuit danger signal and the overheating danger signal are acquired simultaneously, a serious overheating signal is generated, when any two signals of the overload danger signal, the short circuit danger signal and the overheating danger signal are acquired simultaneously, a slight overheating signal is generated, and under other conditions, a general overheating signal is generated.
6. A big data based power electrical equipment temperature supervision and regulation system according to claim 1 characterized by the specific operational steps of the overall fault prediction evaluation process as follows:
s1: when receiving the conventional prompt signal, the overload magnitude value in the intrinsic data information of the power electrical equipment in unit time is called
Figure 594208DEST_PATH_IMAGE067
And short leakage value
Figure 551800DEST_PATH_IMAGE043
And the abrasion magnitude, the environment pressure magnitude and the physical heat dissipation magnitude in the external factor data information are respectively calibrated as
Figure 164178DEST_PATH_IMAGE055
、
Figure 156404DEST_PATH_IMAGE057
And
Figure 117407DEST_PATH_IMAGE059
；
s2: according to the formula
Figure 201776DEST_PATH_IMAGE069
To find out the fault overheating value
Figure 211320DEST_PATH_IMAGE071
Wherein, in the step (A),
Figure 182687DEST_PATH_IMAGE073
and
Figure 596482DEST_PATH_IMAGE075
respectively the magnitude of overload
Figure 528666DEST_PATH_IMAGE067
And short leakage value
Figure 466535DEST_PATH_IMAGE043
Coefficient of degree of failure, and
Figure 698933DEST_PATH_IMAGE077
，
Figure DEST_PATH_IMAGE079
，
Figure 844481DEST_PATH_IMAGE080
、
Figure 529541DEST_PATH_IMAGE081
and
Figure 21833DEST_PATH_IMAGE082
respectively the wear magnitude
Figure 843158DEST_PATH_IMAGE055
Environmental pressure measurement
Figure 316865DEST_PATH_IMAGE057
And physical heat dissipation value
Figure 597543DEST_PATH_IMAGE059
Coefficient of correction factor of, and
Figure 752580DEST_PATH_IMAGE061
，
Figure 553046DEST_PATH_IMAGE063
；
s3: will superheat value
Figure 400916DEST_PATH_IMAGE071
With corresponding temperature threshold
Figure 670355DEST_PATH_IMAGE084
Performing comparison analysis, and determining the overheating value
Figure 691401DEST_PATH_IMAGE071
Greater than a temperature threshold
Figure 487318DEST_PATH_IMAGE084
Maximum value ofWhen the temperature is over, a severe overheating signal is generated, and when the temperature is over
Figure 885851DEST_PATH_IMAGE071
At a temperature threshold
Figure 501640DEST_PATH_IMAGE084
When the temperature is within the range of (1), a slight overheating signal is generated, and when the overheating value is within the range of (2)
Figure 326376DEST_PATH_IMAGE071
Less than a temperature threshold
Figure 852167DEST_PATH_IMAGE084
At a minimum value of (d), a safety signal is generated.
7. A big data based power electrical equipment temperature supervision and regulation system according to claim 1 characterized in that the specific operation steps of the overheat warning rating process are as follows:
when a serious overheating signal is received, a primary early warning signal is generated, when a slight overheating signal is received, a secondary early warning signal is generated, and when a safety signal and a general overheating signal are received, a tertiary early warning signal is generated.
8. A power electrical equipment temperature supervision and regulation system based on big data according to claim 1, characterized by that the specific operation steps of the hazard prevention discrimination processing are as follows:
further carrying out danger control treatment on the obtained three-level early warning signals, and sequentially calling fault superheat values in adjacent 3-5 unit times
Figure 776260DEST_PATH_IMAGE071
Carrying out curve drawing, outputting and displaying on a two-dimensional coordinate system, monitoring the overall trend change, generating an invalid danger judgment signal if the overall trend of the curve is smooth, and otherwise, generating an effective danger judgment signalAnd converting the three-stage early warning signals into two-stage early warning signals to perform early warning output.
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