CN112504509B - Power equipment temperature monitoring system and method - Google Patents
Power equipment temperature monitoring system and method Download PDFInfo
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Abstract
The invention provides a system and a method for monitoring the temperature of electric power equipment, wherein the system comprises a monitoring module, a data processing module, a simulation calculation module and a decision-making judgment module; the monitoring module is used for obtaining the actual temperature T of the monitored object A And the actual temperature T is measured A Sending the data to a data processing module and a decision-making judgment module; the data processing module is used for processing the actual temperature T A Generating a temperature measurement picture of the monitored object, and sending the temperature measurement picture to the simulation calculation module; the simulation calculation module obtains the theoretical temperature T of the monitored object through simulation calculation according to the temperature measurement picture 1 And the theoretical temperature T is measured 1 Sending the data to a decision-making judgment module; judging and deciding module for actual temperature T A And theoretical temperature T 1 And comparing to obtain a comparison result, and determining the current state of the monitored object according to the comparison result. The system has high reliability of comparison results and high accuracy of judging the running state of the monitored object.
Description
Technical Field
The invention relates to the field of equipment temperature measurement, in particular to a system and a method for monitoring the temperature of electric power equipment.
Background
The electric power system has various equipment types, is easy to cause problems in long-term operation, and can be divided into general defects, major defects and emergency defects according to the problem grades. For reasons of power supply reliability, the elimination of common defects is regulated for as long as 6 months, so that equipment "ill" operation is widespread in the system. The hot spot problem of the equipment is more prominent, and manual tracking temperature measurement is adopted in actual production work. The time interval of tracking and measuring temperature manually is long, continuous real-time measurement cannot be carried out, and temperature measuring data at each time is not necessarily temperature extreme value data, which has certain error for evaluating the working condition of equipment. In addition, the hot spot temperature is related to various factors, such as actual load conditions, heat dissipation, material states, environmental temperature, and the like, and the change condition of the equipment defect cannot be timely judged only from a few times of single temperature measurement data, which is very disadvantageous for ensuring the safe operation of the equipment.
Chinese patent CN205719262U published 11, 23, 2016 discloses an infrared thermometric analysis system for thermometric analysis of high-voltage equipment in a converter station, which includes: the system comprises an infrared imaging and temperature measuring module, an infrared image processing module, a database module and a thermal fault judging module. The utility model discloses a can realize automatic current conversion station high-voltage apparatus monitored control system of remote, thermal failure judgment module compares according to infrared image and the temperature data after handling and the infrared image and the temperature data of database module, judges whether the high-voltage apparatus temperature has unusually to send the judged result. The utility model discloses a through whether temperature data judgement equipment temperature in comparison current temperature data and the database is unusual, and the temperature data in the database is historical data, and equipment operation in-process change of state is complicated, and historical data's referential is not high, finally can lead to judging inaccurately.
Disclosure of Invention
The invention provides a system and a method for monitoring the temperature of electric power equipment, aiming at overcoming the defect that the judgment on whether the temperature rise of a monitored object is abnormal or not is inaccurate in the prior art.
The technical scheme of the invention is as follows:
the invention provides a power equipment temperature monitoring system, which comprises a monitoring module, a data processing module, a simulation calculation module and a judgment decision module;
the monitoring module is used for obtaining the actual temperature T of the monitored object A The actual temperature T is measured A Sending the data to a data processing module and a decision-making judgment module;
the data processing module is used for processing the actual temperature T A Generating a temperature measurement picture of a monitored object, and sending the temperature measurement picture to a simulation calculation module;
the simulation calculation module obtains the theoretical temperature T of the monitored object according to the simulation calculation of the temperature measurement picture 1 And applying said theoretical temperature T 1 Sending the data to a decision-making judgment module;
the judgment decision module is used for sending the actual temperature T sent by the monitoring module A And the theoretical temperature T sent by the simulation calculation module 1 And comparing to obtain a comparison result, and determining the current state of the monitored object according to the comparison result.
Preferably, the simulation calculation module comprises an identification unit, a component library unit, a physical field unit and a calculation unit;
the identification unit identifies the temperature measurement picture sent by the data processing module and confirms the element type of the monitored object; selecting a simulation element corresponding to the element type of the monitored object in the element library unit, and selecting a heating physical field corresponding to the element type of the monitored object in the physical field unit; the calculation unit selects the calculation type and calculates the theoretical temperature T according to the theoretical parameters contained in the simulation element and the heating physical field 1 。
Preferably, the element library unit comprises simulation elements such as a circuit breaker, a disconnecting switch, a wire, a reactor, a transformer, a current transformer and a voltage transformer.
Preferably, the simulation element included in the element library unit comprises theoretical parameters of initial electrical conductivity sigma, density rho, thermal conductivity k and relative magnetic permeability mu r And magnetic permeability μ in vacuum 0 。
Preferably, the heating physical field included in the physical field unit includes current-mode heating and electromagnetic induction heating; the heating physical field contains theoretical parameters such as electric field intensity E, electric potential V, magnetic induction intensity B, magnetic field intensity H, and constant-voltage heat capacity C p And external current density J out 。
Preferably, the calculation types selected and executed by the calculation unit include weak coupling calculation and strong coupling calculation, the calculation unit selects the calculation field according to whether the load of the monitoring object is stable, the weak coupling calculation is selected and executed when the load of the monitoring object is stable, and the strong coupling calculation is selected and executed when the load of the monitoring object is unstable.
Preferably, the simulation calculation module obtains a theoretical temperature T 1 The method comprises the following steps:
if the monitored object is a current heating element, the heat Q is calculated by the following formula:
D＝ε r ε 0 E
Q＝J·E
wherein E represents the electric field strength, V represents the electric potential, J represents the current density, D represents the electric displacement, μ r Denotes the relative permeability, μ 0 Denotes the vacuum permeability, σ (T) A ) Denotes the electrical conductivity, t denotes the time, J out Represents the external current density, sigma represents the initial conductivity,
is indicative of the current actual temperature conductivity,
is a vector differential operator;
if the monitored object is an electromagnetic induction heating element, the heat quantity Q is calculated by the following formula:
B＝μ r μ 0 H
Q＝J·E
wherein B represents magnetic induction, H represents magnetic field intensity, and μ r Denotes the relative permeability, μ 0 Denotes the vacuum permeability, A denotes the magnetic loss potential, J denotes the current density, σ (T) A ) Denotes the electrical conductivity, t denotes the time, J out Represents the external current density, sigma represents the initial conductivity,
indicating the current actual temperature conductivity of the water,
is a vector differential operator;
theoretical temperature T 1 Calculated by the following formula:
where ρ represents density, C p Denotes constant-pressure heat capacity, t denotes time, k denotes thermal conductivity,
is a vector differential operator.
Preferably, the comparison result generated by the decision module includes a temperature difference ratio Δ T and a temperature change gradient difference ratio Δ k, and the formula is as follows:
wherein, the first and the second end of the pipe are connected with each other,
preferably, the determining the current state of the monitoring object according to the comparison result by the decision-making judgment module includes:
when weak coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, the current state of the monitored object is good, and good state judgment is made;
when both delta T and delta k are larger than the threshold value, carrying out strong coupling calculation by using the current actual temperature conductivity;
when strong coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, the current state of the monitored object is good, and good state judgment is made;
when the delta T and the delta k are both larger than the threshold value, the monitoring module measures the temperature of the monitored object again to obtain the retested temperature T B And will T B Sending the temperature T to a decision module for retesting the temperature T B As the actual temperature T A Calculating delta T and delta k, and when the delta T or the delta k is not larger than a threshold value, judging the current state of the monitored object to be good; and when both the delta T and the delta k are still larger than the threshold value, monitoring the current state fault of the object, and judging the state fault.
The invention also provides a method for monitoring the temperature of the power equipment, which comprises the following steps:
s1: the monitoring module obtains the actual temperature T of the monitored object A ；
S2: data processing module according to S1Actual temperature T of A Processing to generate a temperature measurement picture;
s3: an identification unit in the simulation calculation module identifies the temperature measurement picture in the S2 to determine the element type, a component library unit selects a simulation element corresponding to the element type of the monitored object, and a physical field unit selects a heating physical field type corresponding to the element type of the monitored object;
s4: the calculation unit in the simulation calculation module selects the calculation type according to whether the load of the monitored object is stable or not, and calculates the theoretical temperature T according to the theoretical parameters contained in the simulation element and the physical field unit 1 The load stably executes weak coupling, and the load is unstable and executes strong coupling;
s5: the decision-making module judges the actual temperature T in the S1 A And the theoretical temperature T in S4 1 Comparing to obtain a temperature difference ratio delta T and a temperature change gradient difference ratio delta k of comparison results;
s6: the judgment decision module judges according to the temperature difference ratio delta T and the temperature change gradient difference ratio delta k in the S5:
s4, when the weak coupling calculation is executed and the delta T or the delta k is not larger than the threshold value, the current state of the monitored object is judged well; when both the delta T and the delta k are larger than the threshold value, performing strong coupling calculation according to the current actual temperature conductivity of the monitoring object;
s4, when strong coupling calculation is executed and delta T or delta k is not larger than a threshold value, making a good judgment on the current state of the monitored object; when the delta T and the delta k are both larger than the threshold value, the monitoring module measures the temperature of the monitored object again to obtain the retested temperature T B And will T B Sending the temperature T to a decision module for retesting the temperature T B As the actual temperature T A Calculating delta T and delta k, and when the delta T or the delta k is not larger than a threshold value, judging the current state of the monitored object to be good; and when both the delta T and the delta k are still larger than the threshold value, monitoring the current state fault of the object, and judging the state fault.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
according to the invention, the actual temperature is obtained through the monitoring module, the theoretical temperature is obtained through the simulation calculation module, the actual temperature and the theoretical temperature are compared through the judgment decision module, the reliability of the comparison result is high, and the accuracy of judging the running state of the monitored object is high.
Drawings
Fig. 1 is a schematic diagram of a temperature monitoring system for electric power equipment according to embodiment 1;
fig. 2 is a flowchart of a method for monitoring the temperature of an electrical device according to embodiment 2.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent;
for the purpose of better illustrating the present embodiments, certain elements of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product;
it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The technical solution of the present invention is further described with reference to the drawings and the embodiments.
Example 1
The embodiment provides a power equipment temperature monitoring system, as shown in fig. 1, the system includes a monitoring module, a data processing module, a simulation calculation module, and a decision-making judgment module;
the monitoring module is used for obtaining the actual temperature T of the monitored object A The actual temperature T is measured A Sending the data to a data processing module and a decision-making judgment module;
the data processing module is used for processing the actual temperature T A Generating a temperature measurement picture of a monitored object, and sending the temperature measurement picture to a simulation calculation module;
the simulation calculation module obtains the theoretical temperature T of the monitored object through simulation calculation according to the temperature measurement picture 1 And applying said theoretical temperature T 1 Sending the data to a decision-making judgment module;
the judgment decision module is used for sending the actual temperature T sent by the monitoring module A And the theoretical temperature T sent by the simulation calculation module 1 Comparing to obtain comparison result, and determining according to the comparison resultThe current state of the subject is monitored.
The simulation calculation module comprises an identification unit, a component library unit, a physical field unit and a calculation unit;
the identification unit identifies the temperature measurement picture sent by the data processing module and confirms the element type of the monitored object; selecting a simulation element corresponding to the element type of the monitored object in the element library unit, and selecting a heating physical field corresponding to the element type of the monitored object in the physical field unit; the calculation unit selects the calculation type and calculates the theoretical temperature T according to the theoretical parameters contained in the simulation element and the heating physical field 1 。
The simulation elements included in the element library unit comprise a circuit breaker, a disconnecting switch, a wire, a reactor, a transformer, a current transformer and a voltage transformer.
The simulation element included in the element library unit comprises theoretical parameters of initial conductivity sigma, density rho, thermal conductivity k and relative permeability mu r And vacuum permeability μ 0 。
The heating physical field of the physical field unit comprises current type heating and electromagnetic induction heating.
The physical field unit comprises a heating physical field containing theoretical parameters including electric field intensity E, electric potential V, magnetic induction intensity B, magnetic field intensity H and constant-voltage heat capacity C p And external current density J out 。
The calculation types selected and executed by the calculation unit comprise weak coupling calculation and strong coupling calculation, the calculation unit selects a calculation field according to whether the load of the monitored object is stable or not, selects weak coupling calculation when the load of the monitored object is stable, and selects strong coupling calculation when the load of the monitored object is unstable.
The simulation calculation module obtains a theoretical temperature T 1 The method comprises the following steps:
if the monitored object is a current-heating element, the heat Q is calculated by the following formula:
D＝ε r ε 0 E
Q＝J·E
wherein E represents the electric field strength, V represents the electric potential, J represents the current density, D represents the electric displacement, μ r Denotes the relative permeability, μ 0 Denotes the vacuum permeability, σ (T) A ) Denotes the electrical conductivity, t denotes the time, J out Represents the external current density, sigma represents the initial conductivity,
indicating the current actual temperature conductivity of the water,
is a vector differential operator;
if the monitored object is an electromagnetic induction heating element, the heat quantity Q is calculated by the following formula:
B＝μ r μ 0 H
Q＝J·E
wherein B represents magnetic induction, H represents magnetic field intensity, and μ r Denotes the relative permeability, μ 0 Denotes the vacuum permeability, A denotes the magnetic loss potential, J denotes the current density, σ (T) A ) Denotes the electrical conductivity, t denotes the time, J out Denotes the external current density, sigma denotes the initial conductivity,
indicating the current actual temperature conductivity of the water,
is a vector differential operator;
theoretical temperature T 1 Calculated by the following formula:
where ρ represents density, C p Denotes constant-pressure heat capacity, t denotes time, k denotes thermal conductivity,
is a vector differential operator.
The comparison result generated by the decision-making judgment module comprises a temperature difference ratio delta T and a temperature change gradient difference ratio delta k, and the formula is as follows:
wherein the content of the first and second substances,
the determining and deciding module determines the current state of the monitored object according to the comparison result, and the determining and deciding module comprises the following steps:
when weak coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, the current state of the monitored object is good, and good state judgment is made;
when both delta T and delta k are larger than the threshold value, carrying out strong coupling calculation by using the current actual temperature conductivity;
when strong coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, the current state of the monitored object is good, and good state judgment is made;
the monitoring module monitors when Δ T and Δ k are both greater than a thresholdThe object is measured again to obtain a retested temperature T B And will T B Sending the temperature T to a decision module for retesting the temperature T B As the actual temperature T A Calculating delta T and delta k, and when the delta T or the delta k is not larger than a threshold value, judging the current state of the monitored object to be good; and when both the delta T and the delta k are still larger than the threshold value, monitoring the current state fault of the object, and judging the state fault.
Example 2
The present embodiment provides a method for monitoring a temperature of an electrical device, as shown in fig. 2, the method includes the following steps:
s1: the monitoring module obtains the actual temperature T of the monitored object A ；
S2: the data processing module is used for processing the actual temperature T in the S1 A Processing to generate a temperature measurement picture;
s3: an identification unit in the simulation calculation module identifies the temperature measurement picture in the S2 to determine the element type, a component library unit selects a simulation element corresponding to the element type of the monitored object, and a physical field unit selects a heating physical field type corresponding to the element type of the monitored object;
s4: the calculation unit in the simulation calculation module selects the calculation type according to whether the load of the monitored object is stable or not, and calculates the theoretical temperature T according to the theoretical parameters contained in the simulation element and the physical field unit 1 The load stably executes weak coupling, and the load is unstable and executes strong coupling;
s5: the decision-making module judges the actual temperature T in the S1 A And the theoretical temperature T in S4 1 Comparing to obtain a temperature difference ratio delta T and a temperature change gradient difference ratio delta k of a comparison result;
s6: the judgment decision module judges according to the temperature difference ratio delta T and the temperature change gradient difference ratio delta k in the S5:
s4, when the weak coupling calculation is executed and the delta T or the delta k is not larger than the threshold value, the current state of the monitored object is judged well; when both delta T and delta k are larger than the threshold value, performing strong coupling calculation according to the current actual temperature conductivity of the monitoring object;
s4 when strong coupling calculation is performed, when Δ T or ΔWhen k is not more than the threshold value, making a good judgment on the current state of the monitored object; when the delta T and the delta k are both larger than the threshold value, the monitoring module measures the temperature of the monitored object again to obtain the retested temperature T B And will T B Sending the temperature T to a decision module for retesting the temperature T B As the actual temperature T A Calculating delta T and delta k, and when the delta T or the delta k is not larger than a threshold value, judging the current state of the monitored object to be good; and when both the delta T and the delta k are still larger than the threshold value, monitoring the current state fault of the object, and judging the state fault. In this embodiment, the threshold is 10%.
The terms describing positional relationships in the drawings are for illustrative purposes only and are not to be construed as limiting the patent;
it should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (9)
1. The system for monitoring the temperature of the power equipment is characterized by comprising a monitoring module, a data processing module, a simulation calculation module and a judgment decision module;
the monitoring module is used for obtaining the actual temperature T of the monitored object A And applying said actual temperature T A Sending the data to a data processing module and a decision-making judgment module;
the data processing module is used for processing the actual temperature T A Generating a temperature measurement picture of a monitored object, and sending the temperature measurement picture to a simulation calculation module;
the simulation calculation module obtains the theoretical temperature T of the monitored object according to the simulation calculation of the temperature measurement picture 1 And applying said theoretical temperature T 1 Sending the data to a decision-making judgment module;
the judgment decision module is used for sending the actual temperature T sent by the monitoring module A And the theoretical temperature T sent by the simulation calculation module 1 Comparing to obtain a comparison result, and determining the current state of the monitored object according to the comparison result;
the simulation calculation module comprises an identification unit, a component library unit, a physical field unit and a calculation unit;
the identification unit identifies the temperature measurement picture sent by the data processing module and confirms the element type of the monitored object; selecting a simulation element corresponding to the element type of the monitored object in the element library unit, and selecting a heating physical field type corresponding to the element type of the monitored object in the physical field unit; the calculation unit selects the calculation type and calculates the theoretical temperature T according to the theoretical parameters contained in the simulation element and the heating physical field 1 。
2. The power equipment temperature monitoring system according to claim 1, wherein the component library unit comprises simulation components such as circuit breakers, disconnectors, wires, reactors, transformers, current transformers and voltage transformers.
3. The power equipment temperature monitoring system of claim 2, wherein the element library unit comprises simulation elements containing theoretical parameters of initial conductivity σ, density p, thermal conductivity k and relative permeability μ r And magnetic permeability μ in vacuum 0 。
4. The power equipment temperature monitoring system according to claim 3, wherein the physical field unit comprises heating physical field types such as current-mode heating and electromagnetic induction heating;
the heating physical field comprises theoretical parameters such as electric field intensity E, electric potential V, magnetic induction intensity B, magnetic field intensity H and constant voltage heat capacity C p And external current density J out 。
5. The power equipment temperature monitoring system according to claim 4, wherein the calculation unit selects the type of calculation to be performed to include a weak coupling calculation and a strong coupling calculation; the calculation type is selected according to whether the load of the monitored object is stable or not, weak coupling calculation is selected to be executed when the load of the monitored object is stable, and strong coupling calculation is selected to be executed when the load of the monitored object is unstable.
6. The system according to claim 5, wherein the simulation calculation module obtains a theoretical temperature T 1 The method comprises the following steps:
if the monitored object is a current heating element, the heat Q is calculated by the following formula:
D＝ε r ε 0 E
Q＝J·E
wherein E represents the electric field strength, V represents the electric potential, J represents the current density, D represents the electric displacement, μ r Denotes the relative permeability, μ 0 Denotes the vacuum permeability, σ (T) A ) Denotes the electrical conductivity, t denotes the time, J out Represents the external current density, sigma represents the initial conductivity,
indicating the current actual temperature conductivity of the water,
is a vector differential operator;
if the monitored object is an electromagnetic induction heating element, the heat Q is calculated by the following formula:
B＝μ r μ 0 H
Q＝J·E
wherein B represents magnetic induction, H represents magnetic field intensity, and μ r Denotes the relative permeability, μ 0 Denotes the vacuum permeability, A denotes the magnetic loss potential, J denotes the current density, σ (T) A ) Denotes the electrical conductivity, t denotes the time, J out Represents the external current density, sigma represents the initial conductivity,
is indicative of the current actual temperature conductivity,
is a vector differential operator;
theoretical temperature T 1 Calculated by the following formula:
wherein ρ represents a density, C p Denotes constant-pressure heat capacity, t denotes time, k denotes thermal conductivity,
is a vector differential operator.
7. The power equipment temperature monitoring system according to claim 6, wherein the comparison result generated by the decision-making module includes a temperature difference ratio Δ T and a temperature change gradient difference ratio Δ k, and the formula is as follows:
wherein the content of the first and second substances,
8. the system for monitoring the temperature of the power equipment according to claim 7, wherein the determining and deciding module determines the current state of the monitored object according to the comparison result comprises:
when weak coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, the current state of the monitored object is good, and good state judgment is made;
when both delta T and delta k are larger than a threshold value, performing strong coupling calculation by using the current actual temperature conductivity;
when strong coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, the current state of a monitored object is good, and good state judgment is made;
when both delta T and delta k are larger than the threshold value, the monitoring module measures the temperature of the monitored object again to obtain the retested temperature T B And will T B Sending the temperature T to a decision module for retesting the temperature T B As the actual temperature T A Calculating delta T and delta k, and when the delta T or the delta k is not larger than a threshold value, judging the current state of the monitored object to be good and making a good state judgment; and when the delta T and the delta k are still larger than the threshold value, monitoring the current state fault of the object, and judging the state fault.
9. A method for monitoring the temperature of an electrical device, the method comprising the steps of:
s1: the monitoring module obtains the actual temperature T of the monitored object A ；
S2: the data processing module is used for processing the actual temperature T in the S1 A Processing to generate a temperature measurement picture;
s3: an identification unit in the simulation calculation module identifies the temperature measurement picture in the S2 to determine the element type, a component library unit selects a simulation element corresponding to the element type of the monitored object, and a physical field unit selects a heating physical field type corresponding to the element type of the monitored object;
s4: the calculation unit in the simulation calculation module selects the calculation type according to whether the load of the monitored object is stable or not, and calculates the theoretical temperature T according to the theoretical parameters contained in the simulation element and the physical field unit 1 The load stably executes weak coupling, and the load is unstable and executes strong coupling;
s5: the judgment decision module is used for judging the actual temperature T in the S1 A And the theoretical temperature T in S4 1 Comparing to obtain a temperature difference ratio delta T and a temperature change gradient difference ratio delta k of a comparison result;
s6: the judgment decision module judges according to the temperature difference ratio delta T and the temperature change gradient difference ratio delta k in the S5:
s4, when weak coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, good judgment on the current state of the monitored object is made; when both delta T and delta k are larger than the threshold value, performing strong coupling calculation according to the current actual temperature conductivity of the monitored object;
s4, when strong coupling calculation is carried out, when delta T or delta k is not larger than a threshold value, making a good judgment on the current state of the monitored object; when both delta T and delta k are larger than the threshold value, the monitoring module measures the temperature of the monitored object again to obtain the retested temperature T B And will T B Sending the temperature T to a decision module for retesting the temperature T B As the actual temperature T A Calculating delta T and delta k, and when the delta T or the delta k is not larger than a threshold value, judging the current state of the monitored object to be good and making a good state judgment; when both delta T and delta k are still larger than the threshold value, the current state fault of the object is monitored, and the state is madeAnd (6) judging faults.
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