CN113375832B - Temperature monitoring system, method and device, motor equipment and computer storage medium - Google Patents

Temperature monitoring system, method and device, motor equipment and computer storage medium Download PDF

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Publication number
CN113375832B
CN113375832B CN202110921801.1A CN202110921801A CN113375832B CN 113375832 B CN113375832 B CN 113375832B CN 202110921801 A CN202110921801 A CN 202110921801A CN 113375832 B CN113375832 B CN 113375832B
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temperature
measuring point
parameter
probability
real
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CN113375832A (en
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邓仁杰
毕刘新
魏庆
王少景
李军
施黄璋
赵俊志
胡永路
徐刚
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Tianjin Feixuan Technology Co ltd
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Tianjin Feixuan Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00—Thermometers specially adapted for specific purposes
    • 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
    • G01K1/024—Means for indicating or recording specially adapted for thermometers for remote indication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations

Abstract

The embodiment of the invention discloses a temperature monitoring system, a method, a device, motor equipment and a computer storage medium, wherein the temperature monitoring system comprises a contact type temperature sensor, an executing mechanism and a processor, the executing mechanism is in transmission connection with the contact type temperature sensor and is used for controlling the contact type temperature sensor to move between a first temperature measuring point and a second temperature measuring point, the processor is in communication connection with the contact type temperature sensor, the processor acquires real-time motor operation parameters of the motor equipment operation, matches the real-time motor operation parameters in a preset temperature sample library, determines a corresponding target parameter interval of the real-time motor operation parameters in the temperature sample library, and calculates the temperature of the surface of a motor rotor according to a preset formula and the average value of the target parameter intervals, the invention fully utilizes the advantages of simplicity and reliability of the contact type temperature sensor, and the non-contact high-speed motor rotor temperature real-time monitoring is realized by combining a statistical probability method.

Description

Temperature monitoring system, method and device, motor equipment and computer storage medium
Technical Field
The invention relates to the technical field of motors, in particular to a temperature monitoring system, a temperature monitoring method, a temperature monitoring device, motor equipment and a computer storage medium.
Background
Generally, because a high-speed motor rotor has high rotating speed and high energy density, the generated high temperature greatly affects the stability of the motor operation, and the rotor temperature needs to be monitored on line. However, because the linear velocity of the surface of the rotor of the high-speed motor is high, the temperature of the surface of the rotor cannot be directly measured by using a contact temperature sensor during the operation of the motor.
The existing high-speed motor rotor temperature online monitoring technology uses an infrared temperature measurement technology, and an infrared temperature sensor fixed on a non-rotating part of a motor is used for receiving infrared rays radiated after a rotor is heated, so that real-time online monitoring of the rotor temperature is realized.
Compared with the traditional contact type temperature probe, the infrared temperature sensor has a larger volume and is difficult to install between the air gaps of the stator and the rotor, and the infrared temperature sensor is generally in the area with the highest rotor temperature, so that the temperature monitoring at the position is significant. Secondly, the infrared temperature sensor requires that the emissivity of the temperature measurement surface is accurately given to ensure the temperature measurement precision, and in the practical application process, the emissivity of the surface material of the rotor is difficult to give, or the surface material with known emissivity is difficult to spray and cover.
In addition, compared with a contact temperature probe, the infrared temperature sensor has high requirements on the use environment, and is applicable to conditions such as temperature, pressure and electromagnetic interference environment, and the reliability of the infrared temperature measurement method is poor.
Disclosure of Invention
In order to solve the technical problems, the invention provides a temperature monitoring system, a temperature monitoring method, a temperature monitoring device, motor equipment and a computer storage medium, and the specific scheme is as follows:
in a first aspect, an embodiment of the present disclosure provides a temperature monitoring system for monitoring a temperature of a rotor of an electric machine, the temperature monitoring system including: the system comprises a contact temperature sensor, an actuating mechanism and a processor;
the actuating mechanism is arranged on the surface of a shell of the motor rotor and is in transmission connection with the contact type temperature sensor, and the actuating mechanism is used for controlling the contact type temperature sensor to move between a first temperature measuring point and a second temperature measuring point, wherein the first temperature measuring point is a temperature measuring point which is a preset distance away from the surface of the motor rotor, and the second temperature measuring point is a temperature measuring point of the surface of the motor rotor;
the processor is in communication connection with the contact temperature sensor and is in communication connection with the control end of the actuating mechanism;
the processor is configured to:
acquiring real-time motor operation parameters of motor equipment operation, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor and temperature of a first temperature measuring point acquired by the contact type temperature sensor;
matching each real-time motor operation parameter in a temperature sample library to determine each target parameter interval corresponding to each real-time motor operation parameter, wherein the temperature sample library comprises a plurality of temperature samples related to the first temperature measurement point and the second temperature measurement point;
calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
and calculating the surface temperature of the motor rotor according to the probability and a preset temperature calculation formula.
In a second aspect, an embodiment of the present disclosure provides a temperature monitoring method, which is applied to the processor of the temperature monitoring system in the first aspect, and the execution mechanism controls the contact temperature sensor to be continuously at a first temperature measurement point, where the temperature monitoring method includes:
acquiring real-time motor operation parameters of motor equipment operation, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor and temperature of a first temperature measuring point acquired by the contact type temperature sensor;
matching each real-time motor operation parameter in a temperature sample library to determine each target parameter interval corresponding to each real-time motor operation parameter, wherein the temperature sample library comprises a plurality of temperature samples related to the first temperature measurement point and the second temperature measurement point;
calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
and calculating the surface temperature of the motor rotor according to the probability and a preset temperature calculation formula.
According to a specific implementation manner of the embodiment of the present disclosure, the method for establishing the temperature sample library includes:
determining parameter ranges of various motors, wherein the parameter ranges of various motors at least comprise a current range, a rotating speed range, a cooling medium temperature range of a motor rotor and a temperature range of the first temperature measuring point;
dividing parameter ranges of various motors into a plurality of equally divided parameter intervals according to the numerical value increasing sequence;
constructing an orthogonal table according to all parameter intervals contained in each motor parameter range;
and acquiring temperature samples corresponding to each parameter interval in the orthogonal table through data acquisition action to form the temperature sample library.
According to a specific implementation manner of the embodiment of the present disclosure, the step of obtaining the temperature samples corresponding to each parameter interval in the orthogonal table through the data acquisition action includes:
setting each group of initial parameters in the orthogonal table as working parameters of the motor rotor, wherein each group of initial parameters corresponds to one temperature sample, and each group of initial parameters comprises initial current, initial rotating speed and cooling medium temperature of the initial motor rotor;
when the motor rotor operates to a thermal balance state, adjusting real-time working parameters to be matched with the initial parameters, and acquiring a temperature sample value of the first temperature measuring point, wherein the real-time working parameters comprise real-time current, real-time rotating speed and real-time cooling medium temperature of the motor rotor;
when the motor rotor is completely switched from the thermal equilibrium state to the shutdown static state, the execution mechanism controls the contact temperature sensor to move from the first temperature measurement point to the second temperature measurement point, and a temperature sample value of the second temperature measurement point is obtained;
and associating the initial current, the initial rotating speed, the cooling medium temperature of the initial motor rotor, the corresponding temperature sample value of the first temperature measuring point and the corresponding temperature sample value of the second temperature measuring point to serve as a temperature sample.
According to a specific implementation manner of the embodiment of the present disclosure, the step of dividing each parameter range of the motor into a plurality of equally divided parameter intervals according to a numerical value increasing order includes:
dividing the current range into i equal parts, and sequencing the current range intervals of the i equal parts according to the current size from small to large to obtain i equal part intervals corresponding to the current range
Figure P_210810101304614_614968001
；
Dividing the rotating speed range into j equal divisions, and sequencing the j equal divisions of the rotating speed range from small to large according to the rotating speed to obtain the j equal divisions corresponding to the rotating speed range
Figure P_210810101304661_661453001
；
Dividing the temperature range of the cooling medium of the motor rotor into k equal parts, and sequencing the temperature ranges of the cooling medium of the motor rotor with the k equal parts from small to large according to the temperature to obtain k equal parts corresponding to the temperature range of the cooling medium of the motor rotor
Figure P_210810101304693_693585001
；
Dividing the temperature range of the first temperature measuring point into l equal parts, and sequencing the temperature range intervals of the first temperature measuring point of the l equal parts from small to large according to the temperature to obtain l equal parts corresponding to the temperature range of the first temperature measuring pointBetween the subareas
Figure P_210810101304741_741101001
。
According to a specific implementation manner of the embodiment of the present disclosure, the probability calculation formula of the current parameter is:
Figure P_210810101304772_772800001
wherein I is the average value of a current interval,
Figure P_210810101304803_803942002
is as follows
Figure P_210810101304835_835327003
Probability of time current being I, PhIs the h probability, T is the temperature of the second temperature measuring point, ThIs the temperature of the h second temperature measuring point,
Figure P_210810101304866_866452004
，
Figure P_210810101304897_897934005
；
the probability calculation formula of the rotating speed parameter is as follows:
Figure P_210810101304929_929965001
wherein, in the step (A),
Figure P_210810101304961_961700002
is as follows
Figure P_210810101304992_992951003
At a time rotation speed of
Figure P_210810101305024_024189004
The probability of (a) of (b) being,
Figure P_210810101305071_071091005
is the average value of a rotating speed interval,
Figure P_210810101305102_102361006
；
the probability calculation formula of the cooling medium temperature parameter of the motor rotor is as follows:
Figure P_210810101305135_135467001
wherein, in the step (A),
Figure P_210810101305166_166948002
is as follows
Figure P_210810101305198_198500003
The probability that the temperature of the cooling medium of the motor rotor is A is the average value of the temperature interval of the cooling medium of the motor rotor,
Figure P_210810101305231_231250004
；
the probability calculation formula of the temperature parameter of the first temperature measuring point is as follows:
Figure P_210810101305261_261217001
wherein, in the step (A),
Figure P_210810101305307_307672002
is as follows
Figure P_210810101305340_340237003
The probability that the temperature of the first temperature measuring point is B, B is the average value of the temperature range interval of the first temperature measuring point,
Figure P_210810101305371_371415004
。
according to a specific implementation manner of the embodiment of the present disclosure, the preset temperature calculation formula includes:
Figure P_210810101305402_402718001
；
Figure P_210810101305449_449486001
；
wherein the content of the first and second substances,
Figure P_210810101305480_480296001
is the surface temperature of the rotor of the motor,
Figure P_210810101305512_512477002
is the h-th probability coefficient.
In a third aspect, an embodiment of the present disclosure further provides a temperature monitoring device applied to the temperature monitoring system in the first aspect, where the temperature monitoring device includes:
the acquisition module is used for acquiring real-time motor operation parameters of the motor equipment, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor and temperature of a first temperature measuring point acquired by the contact type temperature sensor;
the matching module is used for matching various real-time motor operation parameters in a temperature sample library so as to determine various target parameter intervals corresponding to the various real-time motor operation parameters, and the temperature sample library comprises a plurality of temperature samples related to the first temperature measurement point and the second temperature measurement point;
the probability calculation module is used for calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
and the temperature calculation module is used for calculating the surface temperature of the motor rotor according to the probability and a preset temperature calculation formula.
In a fourth aspect, an embodiment of the present disclosure further provides an electric machine apparatus, where the electric machine apparatus includes the temperature monitoring system of the first aspect.
In a fifth aspect, the present disclosure also provides a computer storage medium, where a computer program is stored, and when the computer program runs on a processor, the method for monitoring temperature according to the second aspect is executed.
The disclosed embodiment provides a temperature monitoring system, a method, a device, motor equipment and a computer storage medium, wherein the temperature monitoring system comprises a contact type temperature sensor, an actuating mechanism and a processor, the actuating mechanism is arranged on the surface of a shell of a motor rotor, the actuating mechanism is in transmission connection with the contact type temperature sensor, the actuating mechanism is used for controlling the contact type temperature sensor to move between a first temperature measuring point and a second temperature measuring point, the first temperature measuring point is a temperature measuring point which is a preset distance away from the surface of the motor rotor, the second temperature measuring point is a temperature measuring point on the surface of the motor rotor, the processor is in communication connection with the contact type temperature sensor and is in communication connection with a control end of the actuating mechanism, and after the processor obtains real-time motor operation parameters of the motor equipment, the method comprises the steps of matching various real-time motor operation parameters in a preset temperature sample library, determining a target parameter interval corresponding to the real-time motor operation parameters in the temperature sample library, and calculating the surface temperature of the motor rotor according to a preset formula.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention. Like components are numbered similarly in the various figures.
Fig. 1 shows a schematic structural diagram of a temperature monitoring system provided by an embodiment of the present disclosure;
fig. 2 is a schematic method flow diagram illustrating a temperature monitoring method according to an embodiment of the disclosure;
FIG. 3 is a schematic diagram illustrating another exemplary temperature monitoring system according to an embodiment of the present disclosure;
fig. 4 shows a block schematic diagram of a temperature monitoring device provided in an embodiment of the present disclosure.
Reference numerals: 101-a housing; 102-a stator winding; 103-a motor rotor; 104-a connecting rod; 105-a contact temperature sensor; 106-an actuator; 1-a first temperature measuring point; 2-second temperature measurement point.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are only intended to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Referring to fig. 1, an embodiment of the present disclosure provides a temperature monitoring system for monitoring a temperature of a rotor 103 of an electric machine, as shown in fig. 1, the temperature monitoring system including: a contact temperature sensor 105, an actuator 106, and a processor;
the actuating mechanism 106 is arranged on the surface of the casing 101 of the motor rotor 103, the actuating mechanism 106 is in transmission connection with the contact temperature sensor 105, and the actuating mechanism 106 is used for controlling the contact temperature sensor 105 to move between a first temperature measurement point and a second temperature measurement point, wherein the first temperature measurement point is a temperature measurement point which is a preset distance away from the surface of the motor rotor 103, and the second temperature measurement point is a temperature measurement point on the surface of the motor rotor 103;
the processor is in communication connection with the contact temperature sensor 105, and the processor is in communication connection with the control end of the actuator 106;
the processor is configured to:
acquiring real-time motor operation parameters of the operation of motor equipment, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor 103 and temperature of a first temperature measuring point 1 acquired by the contact type temperature sensor;
matching each real-time motor operation parameter in a temperature sample library to determine each target parameter interval corresponding to each real-time motor operation parameter, wherein the temperature sample library comprises a plurality of temperature samples related to the first temperature measuring point 1 and the second temperature measuring point;
calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
and calculating the surface temperature of the motor rotor 103 according to the probability and a preset temperature calculation formula.
As shown in fig. 1, in a specific embodiment, the temperature monitoring system is disposed in an electrical machine, the electrical machine includes a motor rotor 103, a stator winding 102, and a casing 101, and the stator winding 102 is disposed annularly around the motor rotor 103. The temperature monitoring system comprises an actuator 106, a contact temperature sensor 105 and a processor, wherein the actuator 106 is in transmission connection with the contact temperature sensor 105 through a connecting rod 104, the contact temperature sensor 105 can be arranged on the connecting rod 104, and two ends of the connecting rod 104 are respectively connected with one actuator 106.
The executing mechanism 106 is arranged on the casing 101, and the contact temperature sensor 105 is enabled to move between a first temperature measuring point 1 and a second temperature measuring point by controlling the movement of the connecting rod 104, wherein the first temperature measuring point 1 is a temperature measuring point which is a preset distance away from the surface of the motor rotor 103, the second temperature measuring point is a temperature measuring point on the surface of the motor rotor 103, a technician can manually operate the executing mechanism 106 to control the action of the executing mechanism 106, and the control end of the executing mechanism 106 is in communication connection with the processor, so that the technician can also remotely control the action of the executing mechanism 106 by moving a mobile phone, a PC end and other communication devices.
The preset distance may be set with reference to a gap distance between the motor rotor 103 and the stator winding 102 of a specific motor, and is not particularly limited herein.
In a specific application, the number of the contact temperature sensors 105 may be one, or may be multiple, so that temperature values of multiple points on the surface of the motor rotor 103 may be obtained. When the number of the contact temperature sensors 105 is multiple, the number of the second temperature measurement points is also multiple, each second temperature measurement point corresponds to one first temperature measurement point 1, and the first temperature measurement point 1 is a temperature measurement point which is away from the second temperature measurement point on the surface of the motor rotor 103 by a preset distance.
Specifically, the contact temperature sensor 105 may also be directly placed at the second temperature measurement point, and the contact temperature sensor 105 is blown by compressed air introduced into the casing 101, or the contact temperature sensor 105 is blown by airflow driven by the rotation of the rotor, so that the contact temperature sensor 105 is suspended at the first temperature measurement point 1 when the motor rotor 103 rotates, and the contact temperature sensor 105 moves between the first temperature measurement point 1 and the second temperature measurement point. The position of the motor air inlet and outlet can be the position of the actuating mechanism 106 as shown in fig. 1, and the position of the motor air inlet and outlet can be adjusted according to the specific structure of the motor.
The processor is communicatively coupled to the contact temperature sensor 105 so that the temperature value measured by the contact temperature sensor 105 can be received in real time. In addition, the processor may further obtain the motor operating parameters such as the current and the rotational speed of the motor rotor 103 during operation, and the temperature of the cooling medium entering the motor rotor 103 by connecting to other data detecting units in the motor device.
The motor equipment also comprises a memory for storing a temperature sample base, and the processor can match various real-time motor operation parameters in the temperature sample base after acquiring the real-time motor operation parameters during the operation of the motor equipment, so as to determine various target parameter intervals corresponding to the various real-time motor operation parameters. Wherein the temperature sample library comprises a plurality of temperature samples associated with the first temperature measurement point and the second temperature measurement point.
Based on the matching result in the temperature sample library and a preset calculation formula, the real-time surface temperature of the motor rotor 103 during high-speed operation can be calculated, so that the non-contact online monitoring of the real-time surface temperature of the motor rotor 103 is realized.
Referring to fig. 2, the embodiment of the present disclosure further provides a temperature monitoring method, which is applied to the processor of the temperature monitoring system in the above embodiment, and the execution mechanism 106 controls the contact temperature sensor 105 to be continuously located at the first temperature measurement point 1, where the temperature monitoring method includes:
s201, acquiring real-time motor operation parameters of motor equipment operation, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor and temperature of a first temperature measuring point 1 acquired by a contact type temperature sensor;
s202, matching various real-time motor operation parameters in a temperature sample library to determine various target parameter intervals corresponding to the various real-time motor operation parameters, wherein the temperature sample library comprises a plurality of temperature samples related to the first temperature measurement point 1 and the second temperature measurement point 2;
s203, calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
and S204, calculating the surface temperature of the motor rotor according to the probability and a preset temperature calculation formula.
For the application of the specific method, reference may be made to the execution process of the processor in the foregoing embodiment, which is not described herein again.
It should be noted that the real-time motor operating parameter may also be other factors that have a large influence on the rotor temperature, such as the flow rate of the cooling medium, the carrier wave input to the motor, and the like.
As shown in fig. 1, during temperature monitoring, the actuator 106 controls the contact temperature sensor 105 to be continuously located at the first temperature measuring point 1, and by obtaining the temperature of the first temperature measuring point 1 and other real-time motor operating parameters, and matching the real-time motor operating parameters in the temperature sample library, a preset algorithm and a data processing process are used to realize non-contact measurement of the surface temperature of the motor rotor.
Before the motor is put into operation, a temperature sample library required by a temperature monitoring system needs to be established, wherein the temperature sample library consists of multi-dimensional arrays, and each dimension corresponds to one temperature corresponding to the surface temperature of a motor rotorFactor, in this embodiment, the temperature sample library is composed of 5-dimensional arrays, which are recorded as
Figure P_210810101305559_559351001
Wherein I represents a current,
Figure P_210810101305591_591097002
indicating the rotation speed, a the temperature of the cooling medium entering the motor, B the temperature measured by the temperature probe at said first temperature measuring point 1, and T the temperature measured by the temperature probe at said second temperature measuring point 2.
According to a specific implementation manner of the embodiment of the present disclosure, the method for establishing the temperature sample library includes:
determining parameter ranges of various motors, wherein the parameter ranges of various motors at least comprise a current range, a rotating speed range, a cooling medium temperature range of a motor rotor and a temperature range of the first temperature measuring point 1;
dividing parameter ranges of various motors into a plurality of equally divided parameter intervals according to the numerical value increasing sequence;
constructing an orthogonal table according to all parameter intervals contained in each motor parameter range;
and acquiring temperature samples corresponding to each parameter interval in the orthogonal table through data acquisition action to form the temperature sample library.
In specific implementation, the ranges of the motor parameters are determined, that is, the minimum value and the maximum value of the values of the motor parameters are determined, so as to obtain the range of the motor parameters corresponding to each motor parameter.
The lower limit of the range of the temperature measured by the contact temperature sensor 105 at the first temperature measuring point 1 may be the lower limit of the range of the temperature of the cooling medium entering the motor, and the upper limit of the range of the temperature measured by the contact temperature sensor 105 at the first temperature measuring point 1 may be the temperature corresponding to the insulation level of the motor.
After determining the parameter ranges of the motors, dividing the parameter ranges of the motors into a plurality of equally divided parameter intervals according to the numerical value increasing sequence, wherein one motor parameter range comprises a plurality of equally divided parameter intervals.
Specifically, the step of dividing each motor parameter range into a plurality of equally divided parameter intervals according to a numerical value increasing sequence includes:
dividing the current range into i equal parts, and sequencing the current range intervals of the i equal parts according to the current size from small to large to obtain i equal part intervals corresponding to the current range
Figure P_210810101305622_622402001
；
Dividing the rotating speed range into j equal divisions, and sequencing the j equal divisions of the rotating speed range from small to large according to the rotating speed to obtain the j equal divisions corresponding to the rotating speed range
Figure P_210810101305653_653572001
；
Dividing the temperature range of the cooling medium of the motor rotor into k equal parts, and sequencing the temperature ranges of the cooling medium of the motor rotor with the k equal parts from small to large according to the temperature to obtain k equal parts corresponding to the temperature range of the cooling medium of the motor rotor
Figure P_210810101305684_684879001
；
Dividing the temperature range of the first temperature measuring point into l equal parts, and sequencing the temperature range intervals of the first temperature measuring point of the l equal parts from small to large according to the temperature to obtain l equal part intervals corresponding to the temperature range of the first temperature measuring point
Figure P_210810101305732_732647001
。
Said IiExpressed is the interval average value of the i-th equal division interval of the corresponding current range
Figure P_210810101305764_764529001
Expressed is the interval average value of the j-th equal division interval corresponding to the rotating speed range, and AkIs expressed as a correspondenceThe interval average value of the k-th equally divided interval of the temperature range of the cooling medium of the motor rotor, BlShown is the interval average value of the first equally divided interval corresponding to the temperature range of the first temperature measuring point 1.
The i, j, k and l may be equal positive integers or unequal positive integers, and the specific value is the number of the divided equal intervals when each motor parameter is discretized and divided with reference to actual application, which is not specifically limited herein.
After dividing the equal interval corresponding to each motor parameter, the current factor and the corresponding i levels, the rotating speed factor and the corresponding j levels, the cooling medium temperature factor and the corresponding k levels of the motor rotor, the temperature factor and the corresponding l levels measured at the first temperature measuring point 1 can be determined, and an orthogonal table is constructed according to the factors and the corresponding parameter levels.
Will represent an array of the four factors mentioned above
Figure P_210810101305811_811352001
As rows of an orthogonal table, in which the respective factors are as columns of the orthogonal table and are each one of the levels of the respective division, i.e.
Figure P_210810101305842_842597002
，
Figure P_210810101305873_873776003
，
Figure P_210810101305905_905595004
，
Figure P_210810101305937_937221005
. Set p rows in
Figure P_210810101305984_984639006
. The levels of each factor in each row in the orthogonal table are adjusted so that each factor, i.e., each level in each column, appears the same number of times. In any two factors at the same time, i.e. in any two columnsCombinations of levels occur and the number of occurrences is the same.
The orthogonal table can be constructed manually or by using software such as matlab, SPSS and the like. The orthogonal table ensures that each level of each factor is identical to each level of other factors in the probability of participating in the composition sample library, thereby ensuring that interference of the levels of other factors is maximally excluded in each level. Meanwhile, the test points are uniformly dispersed in the complete combination of factors and levels, so that the method has strong representativeness.
And adding m groups of tests into the orthogonal table without the constructed orthogonal table and with special attention to combinations, wherein the composition test table comprises n groups of tests, wherein n = p + m, and n is the number of times of executing the data acquisition action.
Specifically, the step of obtaining the temperature samples corresponding to the parameter intervals in the orthogonal table through the data acquisition action includes:
setting each group of initial parameters in the orthogonal table as working parameters of the motor rotor, wherein each group of initial parameters corresponds to one temperature sample, and each group of initial parameters comprises initial current, initial rotating speed and cooling medium temperature of the initial motor rotor;
when the motor rotor operates to a thermal balance state, adjusting real-time working parameters to be matched with the initial parameters, and acquiring a temperature sample value of the first temperature measuring point 1, wherein the real-time working parameters comprise real-time current, real-time rotating speed and real-time cooling medium temperature of the motor rotor;
when the motor rotor is completely switched from the thermal equilibrium state to the shutdown static state, the actuator 106 controls the contact temperature sensor 105 to move from the first temperature measurement point 1 to the second temperature measurement point 2, so as to obtain a temperature sample value of the second temperature measurement point 2;
and associating the initial current, the initial rotating speed, the cooling medium temperature of the initial motor rotor, the corresponding temperature sample value of the first temperature measuring point 1 and the corresponding temperature sample value of the second temperature measuring point 2 as a temperature sample.
As shown in fig. 3, during the process of establishing the temperature sample library, when the motor rotor is completely switched from the thermal equilibrium state to the shutdown static state, the processor controls the first temperature measuring point 1 to move to the second temperature measuring point 2 through the actuator 106, and the moving direction can be referred to as an arrow pointing direction in fig. 3.
In a specific embodiment, the current, the rotating speed and the temperature of the cooling medium of the motor rotor are adjusted to test values, when the motor runs to the thermal equilibrium, the current test value I is recorded,
Figure P_210810101306016_016017001
recording the test value of the rotating speed
Figure P_210810101306047_047880002
，
Figure P_210810101306078_078374003
Recording a temperature test value A of the cooling medium of the motor rotor,
Figure P_210810101306141_141415004
recording the temperature B measured at the first temperature measuring point 1,
Figure P_210810101306173_173113005
then the machine is stopped quickly, when the speed is equal to 0, the temperature measuring probe connecting rod 104 is pushed, so that the contact type temperature sensor 105 moves from the first temperature measuring point 1 to the second temperature measuring point 2, and the surface temperature T of the motor rotor is measured in a direct contact mode1Then resetting the probe, and setting the motor parameters and the surface temperature T of the motor rotor1Are correlated to obtain a first array of the sample library, i.e., a temperature sample.
And executing the data acquisition action for n times, and directly measuring the second temperature measuring point 2 through the contact type temperature sensor 105 for n times, namely measuring the surface temperature value T of the motor rotor for n times. And (4) correlating the temperature values of the surface temperature of the motor rotor measured for n times with the arrays in the orthogonal table, so as to obtain all the arrays in the temperature sample library, and thus completing the establishment of the temperature sample library.
In step S203 and step S204, specifically, the probability calculation formula of the current parameter is:
Figure P_210810101306204_204416001
wherein I is the average value of a current interval,
Figure P_210810101306251_251340002
is as follows
Figure P_210810101306282_282534003
Probability of time current being I, PhIs the h probability, T is the temperature of the second temperature measuring point, ThIs the temperature of the h second temperature measuring point,
Figure P_210810101306313_313753004
，
Figure P_210810101306348_348676005
；
the probability calculation formula of the rotating speed parameter is as follows:
Figure P_210810101306380_380593001
wherein, in the step (A),
Figure P_210810101306412_412387002
is as follows
Figure P_210810101306443_443688003
At a time rotation speed of
Figure P_210810101306490_490503004
The probability of (a) of (b) being,
Figure P_210810101306523_523191005
is the average value of a rotating speed interval,
Figure P_210810101306554_554963006
；
the probability calculation formula of the cooling medium temperature parameter of the motor rotor is as follows:
Figure P_210810101306586_586197001
wherein, in the step (A),
Figure P_210810101306617_617489002
is as follows
Figure P_210810101306648_648734003
The probability that the temperature of the cooling medium of the motor rotor is A is the average value of the temperature interval of the cooling medium of the motor rotor,
Figure P_210810101306680_680017004
；
the probability calculation formula of the temperature parameter of the first temperature measuring point is as follows:
Figure P_210810101306711_711179001
wherein, in the step (A),
Figure P_210810101306761_761978002
is as follows
Figure P_210810101306808_808840003
The probability that the temperature of the first temperature measuring point is B, B is the average value of the temperature range interval of the first temperature measuring point,
Figure P_210810101306840_840301004
。
according to a specific implementation manner of the embodiment of the present disclosure, the preset temperature calculation formula includes:
Figure P_210810101306871_871452001
；
Figure P_210810101306918_918317001
；
wherein the content of the first and second substances,
Figure P_210810101306951_951936001
is the surface temperature of the rotor of the motor,
Figure P_210810101306983_983175002
is the h-th probability coefficient.
The real-time temperature of the surface of the rotor of the motor is obtained through h times of calculation processes of the probability and the probability coefficient, wherein ThThe temperature calculation process corresponding to the number of temperature samples is performed h times,
Figure P_210810101307014_014449001
is the real-time temperature of the surface of the motor rotor.
Referring to fig. 4, an embodiment of the present disclosure further provides a temperature monitoring device 400, which is applied to the temperature monitoring system in the foregoing embodiment, where the temperature monitoring device 400 includes:
the acquisition module 401 is configured to acquire real-time motor operation parameters of the operation of the motor device, where the real-time motor operation parameters include a current, a rotation speed, a cooling medium temperature of a motor rotor, and a temperature of the first temperature measurement point 1 acquired by the contact temperature sensor;
a matching module 402, configured to match each real-time motor operation parameter in a temperature sample library to determine each target parameter interval corresponding to each real-time motor operation parameter, where the temperature sample library includes a plurality of temperature samples associated with the first temperature measurement point 1 and the second temperature measurement point 2;
a probability calculation module 403, configured to calculate a probability of occurrence of each real-time motor operating parameter in each preset temperature interval according to an average value of each target parameter interval and a probability calculation formula of each real-time motor operating parameter;
and a temperature calculation module 404, configured to calculate a surface temperature of the motor rotor according to the probability and a preset temperature calculation formula.
The embodiment of the disclosure also provides motor equipment, and the motor equipment comprises the temperature monitoring system in the embodiment.
The embodiment of the present disclosure further provides a computer storage medium, in which a computer program is stored, and when the computer program runs on a processor, the temperature monitoring method according to the above embodiment is executed.
In summary, the embodiments of the present disclosure provide a temperature monitoring system, a temperature monitoring method, a temperature monitoring device, a motor apparatus, and a computer storage medium, in the present invention, an orthogonal test is designed for main influencing factors of a high temperature region of a high-speed motor rotor to obtain a sample library, wherein the test uses a simple and reliable contact temperature sensor to obtain a high temperature of the surface of the rotor, thereby improving the accuracy of the temperature measurement method. Monitoring main influence factors of the temperature of each rotor when the high-speed motor operates, and obtaining a temperature estimation value of a region with higher surface temperature of the rotor by combining the establishment of a temperature sample library and using a probability statistical method. The non-contact on-line monitoring method for the temperature of the high-speed motor rotor is provided, and the problem that the temperature of a high-speed motor rotor surface temperature area cannot be monitored on line is solved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.

Claims (7)

1. A temperature monitoring system for monitoring the temperature of a rotor of an electric machine, the temperature monitoring system comprising: the system comprises a contact temperature sensor, an actuating mechanism and a processor;
the actuating mechanism is arranged on the surface of a shell of the motor rotor and is in transmission connection with the contact type temperature sensor, and the actuating mechanism is used for controlling the contact type temperature sensor to move between a first temperature measuring point and a second temperature measuring point, wherein the first temperature measuring point is a temperature measuring point which is a preset distance away from the surface of the motor rotor, and the second temperature measuring point is a temperature measuring point of the surface of the motor rotor;
the processor is in communication connection with the contact temperature sensor and is in communication connection with the control end of the actuating mechanism;
the processor is configured to:
acquiring real-time motor operation parameters of motor equipment operation, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor and temperature of a first temperature measuring point acquired by the contact type temperature sensor;
matching each real-time motor operation parameter in a temperature sample library to determine each target parameter interval corresponding to each real-time motor operation parameter, wherein the temperature sample library comprises a plurality of temperature samples related to the first temperature measurement point and the second temperature measurement point;
calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
calculating the surface temperature of the motor rotor according to the probability and a preset temperature calculation formula;
the dividing step of the parameter intervals of the real-time motor operation parameters comprises the following steps:
dividing the current range into i equal parts, and sequencing the current range intervals of the i equal parts according to the current size from small to large to obtain i equal part intervals corresponding to the current range
Figure 665051DEST_PATH_IMAGE001
；
Dividing said speed range into j equal parts, anSorting j equally divided rotating speed range intervals according to rotating speed from small to large to obtain j equally divided intervals corresponding to the rotating speed ranges
Figure 393973DEST_PATH_IMAGE002
；
Dividing the temperature range of the cooling medium of the motor rotor into k equal parts, and sequencing the temperature ranges of the cooling medium of the motor rotor with the k equal parts from small to large according to the temperature to obtain k equal parts corresponding to the temperature range of the cooling medium of the motor rotor
Figure 407541DEST_PATH_IMAGE003
；
Dividing the temperature range of the first temperature measuring point into l equal parts, and sequencing the temperature range intervals of the first temperature measuring point of the l equal parts from small to large according to the temperature to obtain l equal part intervals corresponding to the temperature range of the first temperature measuring point
Figure 905518DEST_PATH_IMAGE004
；
Wherein, the probability calculation formula of each item of real-time motor operating parameter includes:
the probability of the current parameter is calculated by the formula
Figure 349269DEST_PATH_IMAGE005
Wherein I is the average value of a current interval,
Figure 565486DEST_PATH_IMAGE006
is as follows
Figure 385675DEST_PATH_IMAGE007
Probability of time current being I, PhIs the h probability, T is the temperature of the second temperature measuring point, ThIs the temperature of the h second temperature measuring point,
Figure 675842DEST_PATH_IMAGE008
，
Figure 618390DEST_PATH_IMAGE009
；
the probability calculation formula of the rotating speed parameter is
Figure 994008DEST_PATH_IMAGE010
Wherein, in the step (A),
Figure 414625DEST_PATH_IMAGE011
is as follows
Figure 824878DEST_PATH_IMAGE007
At a time rotation speed of
Figure 672748DEST_PATH_IMAGE013
The probability of (a) of (b) being,
Figure 535662DEST_PATH_IMAGE013
is the average value of a rotating speed interval,
Figure 697653DEST_PATH_IMAGE002
；
the probability calculation formula of the temperature parameter of the cooling medium of the motor rotor is
Figure 24729DEST_PATH_IMAGE014
Wherein, in the step (A),
Figure 243833DEST_PATH_IMAGE015
is as follows
Figure 594043DEST_PATH_IMAGE007
The probability that the temperature of the cooling medium of the motor rotor is A is the average value of the temperature interval of the cooling medium of the motor rotor,
Figure 356463DEST_PATH_IMAGE003
；
the first temperature measurementThe probability of the temperature parameter of the point is calculated as
Figure 475728DEST_PATH_IMAGE016
Wherein, in the step (A),
Figure 868664DEST_PATH_IMAGE017
is as follows
Figure 768487DEST_PATH_IMAGE007
The probability that the temperature of the first temperature measuring point is B, B is the average value of the temperature range interval of the first temperature measuring point,
Figure 272280DEST_PATH_IMAGE004
；
the preset temperature calculation formula comprises:
Figure 308369DEST_PATH_IMAGE018
；
Figure 872206DEST_PATH_IMAGE019
；
wherein the content of the first and second substances,
Figure 259325DEST_PATH_IMAGE020
is the surface temperature of the rotor of the motor,
Figure 301230DEST_PATH_IMAGE021
is the h-th probability coefficient.
2. A temperature monitoring method applied to the processor of the temperature monitoring system of claim 1, wherein the contact temperature sensor is controlled by the actuator to be continuously at a first temperature measuring point, the temperature monitoring method comprising:
acquiring real-time motor operation parameters of motor equipment operation, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor and temperature of a first temperature measuring point acquired by the contact type temperature sensor;
matching each real-time motor operation parameter in a temperature sample library to determine each target parameter interval corresponding to each real-time motor operation parameter, wherein the temperature sample library comprises a plurality of temperature samples related to the first temperature measurement point and the second temperature measurement point;
calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
calculating the surface temperature of the motor rotor according to the probability and a preset temperature calculation formula;
the dividing step of the parameter intervals of the real-time motor operation parameters comprises the following steps:
dividing the current range into i equal parts, and sequencing the current range intervals of the i equal parts according to the current size from small to large to obtain i equal part intervals corresponding to the current range
Figure 395088DEST_PATH_IMAGE001
；
Dividing the rotating speed range into j equal divisions, and sequencing the j equal divisions of the rotating speed range from small to large according to the rotating speed to obtain the j equal divisions corresponding to the rotating speed range
Figure 192143DEST_PATH_IMAGE002
；
Dividing the temperature range of the cooling medium of the motor rotor into k equal parts, and sequencing the temperature ranges of the cooling medium of the motor rotor with the k equal parts from small to large according to the temperature to obtain k equal parts corresponding to the temperature range of the cooling medium of the motor rotor
Figure 735732DEST_PATH_IMAGE003
；
Dividing the temperature range of the first temperature measuring point into l and the likeDividing and sorting the temperature range interval of the first temperature measuring point of the l equal division according to the temperature from small to large to obtain the l equal division interval of the temperature range corresponding to the first temperature measuring point
Figure 909225DEST_PATH_IMAGE004
；
Wherein, the probability calculation formula of each item of real-time motor operating parameter includes:
the probability of the current parameter is calculated by the formula
Figure 857589DEST_PATH_IMAGE005
Wherein I is the average value of a current interval,
Figure 825545DEST_PATH_IMAGE006
is as follows
Figure 859360DEST_PATH_IMAGE007
Probability of time current being I, PhIs the h probability, T is the temperature of the second temperature measuring point, ThIs the temperature of the h second temperature measuring point,
Figure 243068DEST_PATH_IMAGE008
，
Figure 373835DEST_PATH_IMAGE009
；
the probability calculation formula of the rotating speed parameter is
Figure 450375DEST_PATH_IMAGE010
Wherein, in the step (A),
Figure 33804DEST_PATH_IMAGE011
is as follows
Figure 221202DEST_PATH_IMAGE007
At a time rotation speed of
Figure 206476DEST_PATH_IMAGE013
The probability of (a) of (b) being,
Figure 453918DEST_PATH_IMAGE013
is the average value of a rotating speed interval,
Figure 462325DEST_PATH_IMAGE002
；
the probability calculation formula of the temperature parameter of the cooling medium of the motor rotor is
Figure 515732DEST_PATH_IMAGE014
Wherein, in the step (A),
Figure 290265DEST_PATH_IMAGE015
is as follows
Figure 770925DEST_PATH_IMAGE007
The probability that the temperature of the cooling medium of the motor rotor is A is the average value of the temperature interval of the cooling medium of the motor rotor,
Figure 1049DEST_PATH_IMAGE003
；
the probability calculation formula of the temperature parameter of the first temperature measuring point is
Figure 795830DEST_PATH_IMAGE016
Wherein, in the step (A),
Figure 490116DEST_PATH_IMAGE017
is as follows
Figure 79361DEST_PATH_IMAGE007
The probability that the temperature of the first temperature measuring point is B, B is the average value of the temperature range interval of the first temperature measuring point,
Figure 62360DEST_PATH_IMAGE004
；
the preset temperature calculation formula comprises:
Figure 457569DEST_PATH_IMAGE018
；
Figure 944045DEST_PATH_IMAGE019
；
wherein the content of the first and second substances,
Figure 969770DEST_PATH_IMAGE020
is the surface temperature of the rotor of the motor,
Figure 174487DEST_PATH_IMAGE021
is the h-th probability coefficient.
3. The method of claim 2, wherein the temperature sample library is established by a method comprising:
determining parameter ranges of various motors, wherein the parameter ranges of various motors at least comprise a current range, a rotating speed range, a cooling medium temperature range of a motor rotor and a temperature range of the first temperature measuring point;
dividing parameter ranges of various motors into a plurality of equally divided parameter intervals according to the numerical value increasing sequence;
constructing an orthogonal table according to all parameter intervals contained in each motor parameter range;
and acquiring temperature samples corresponding to each parameter interval in the orthogonal table through data acquisition action to form the temperature sample library.
4. The method of claim 3, wherein the step of obtaining temperature samples corresponding to each parameter interval in the orthogonal table through a data acquisition action comprises:
setting each group of initial parameters in the orthogonal table as working parameters of the motor rotor, wherein each group of initial parameters corresponds to one temperature sample, and each group of initial parameters comprises initial current, initial rotating speed and cooling medium temperature of the initial motor rotor;
when the motor rotor operates to a thermal balance state, adjusting real-time working parameters to be matched with the initial parameters, and acquiring a temperature sample value of the first temperature measuring point, wherein the real-time working parameters comprise real-time current, real-time rotating speed and real-time cooling medium temperature of the motor rotor;
when the motor rotor is completely switched from the thermal equilibrium state to the shutdown static state, the execution mechanism controls the contact temperature sensor to move from the first temperature measurement point to the second temperature measurement point, and a temperature sample value of the second temperature measurement point is obtained;
and associating the initial current, the initial rotating speed, the cooling medium temperature of the initial motor rotor, the corresponding temperature sample value of the first temperature measuring point and the corresponding temperature sample value of the second temperature measuring point to serve as a temperature sample.
5. A temperature monitoring device applied to the temperature monitoring system according to claim 1, the temperature monitoring device comprising:
the acquisition module is used for acquiring real-time motor operation parameters of the motor equipment, wherein the real-time motor operation parameters comprise current, rotating speed, cooling medium temperature of a motor rotor and temperature of a first temperature measuring point acquired by the contact type temperature sensor;
the matching module is used for matching various real-time motor operation parameters in a temperature sample library so as to determine various target parameter intervals corresponding to the various real-time motor operation parameters, and the temperature sample library comprises a plurality of temperature samples related to the first temperature measurement point and the second temperature measurement point;
the probability calculation module is used for calculating the probability of each real-time motor operation parameter in each preset temperature interval according to the average value of each target parameter interval and the probability calculation formula of each real-time motor operation parameter;
the temperature calculation module is used for calculating the surface temperature of the motor rotor according to the probability and a preset temperature calculation formula;
the dividing step of the parameter intervals of the real-time motor operation parameters comprises the following steps:
dividing the current range into i equal parts, and sequencing the current range intervals of the i equal parts according to the current size from small to large to obtain i equal part intervals corresponding to the current range
Figure 107808DEST_PATH_IMAGE001
；
Dividing the rotating speed range into j equal divisions, and sequencing the j equal divisions of the rotating speed range from small to large according to the rotating speed to obtain the j equal divisions corresponding to the rotating speed range
Figure 711440DEST_PATH_IMAGE002
；
Dividing the temperature range of the cooling medium of the motor rotor into k equal parts, and sequencing the temperature ranges of the cooling medium of the motor rotor with the k equal parts from small to large according to the temperature to obtain k equal parts corresponding to the temperature range of the cooling medium of the motor rotor
Figure 970383DEST_PATH_IMAGE003
；
Dividing the temperature range of the first temperature measuring point into l equal parts, and sequencing the temperature range intervals of the first temperature measuring point of the l equal parts from small to large according to the temperature to obtain l equal part intervals corresponding to the temperature range of the first temperature measuring point
Figure 396816DEST_PATH_IMAGE004
；
Wherein, the probability calculation formula of each item of real-time motor operating parameter includes:
the probability of the current parameter is calculated by the formula
Figure 337090DEST_PATH_IMAGE005
Wherein I is the level of a current intervalThe average value of the average value is calculated,
Figure 860475DEST_PATH_IMAGE006
is as follows
Figure 962424DEST_PATH_IMAGE007
Probability of time current being I, PhIs the h probability, T is the temperature of the second temperature measuring point, ThIs the temperature of the h second temperature measuring point,
Figure 204049DEST_PATH_IMAGE008
，
Figure 682435DEST_PATH_IMAGE009
；
the probability calculation formula of the rotating speed parameter is
Figure 60327DEST_PATH_IMAGE022
Wherein, in the step (A),
Figure 598755DEST_PATH_IMAGE011
is as follows
Figure 999781DEST_PATH_IMAGE007
At a time rotation speed of
Figure 344175DEST_PATH_IMAGE013
The probability of (a) of (b) being,
Figure 779835DEST_PATH_IMAGE013
is the average value of a rotating speed interval,
Figure 285903DEST_PATH_IMAGE002
；
the probability calculation formula of the temperature parameter of the cooling medium of the motor rotor is
Figure 436874DEST_PATH_IMAGE014
Wherein, in the step (A),
Figure 257062DEST_PATH_IMAGE015
is as follows
Figure 609546DEST_PATH_IMAGE007
The probability that the temperature of the cooling medium of the motor rotor is A is the average value of the temperature interval of the cooling medium of the motor rotor,
Figure 224198DEST_PATH_IMAGE003
；
the probability calculation formula of the temperature parameter of the first temperature measuring point is
Figure 599816DEST_PATH_IMAGE016
Wherein, in the step (A),
Figure 286012DEST_PATH_IMAGE017
is as follows
Figure 430686DEST_PATH_IMAGE007
The probability that the temperature of the first temperature measuring point is B, B is the average value of the temperature range interval of the first temperature measuring point,
Figure 544135DEST_PATH_IMAGE004
；
the preset temperature calculation formula comprises:
Figure 407049DEST_PATH_IMAGE018
；
Figure 631357DEST_PATH_IMAGE019
；
wherein the content of the first and second substances,
Figure 896116DEST_PATH_IMAGE020
is the surface temperature of the rotor of the motor,
Figure 118150DEST_PATH_IMAGE021
is the h-th probability coefficient.
6. An electrical machine apparatus, characterized in that it comprises a temperature monitoring system according to claim 1.
7. A computer storage medium, in which a computer program is stored which, when run on a processor, performs the temperature monitoring method of any one of claims 2-4.
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