CN215299796U - Anti-condensation system of electric power cabinet - Google Patents

Anti-condensation system of electric power cabinet Download PDF

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CN215299796U
CN215299796U CN202022252603.4U CN202022252603U CN215299796U CN 215299796 U CN215299796 U CN 215299796U CN 202022252603 U CN202022252603 U CN 202022252603U CN 215299796 U CN215299796 U CN 215299796U
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condensation
power cabinet
data
module
detection
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陈雷
杨海涛
张朋良
王永林
王夏阳
杨冬茜
岑积利
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Zhuhai Unitech Power Technology Co Ltd
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Zhuhai Unitech Power Technology Co Ltd
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Abstract

The embodiment of the utility model provides an electric power cabinet prevent condensation system relates to the technical field that electric power cabinet condensation detected. The system comprises a condensation state used for detecting equipment in an electric power cabinet, and a condensation operation-preventing condensation detection system is executed when condensation occurs, wherein the condensation detection system comprises a condensation detection sensor, a condensation real-time detection module and an condensation-preventing module, the condensation detection sensor is arranged in the electric power cabinet and used for detecting the condensation condition of the equipment in the electric power cabinet, the condensation real-time detection module is in communication connection with the condensation detection sensor and used for receiving detection signals output by the condensation detection sensor, and the condensation-preventing module is in communication connection with the condensation real-time detection module and used for receiving the first control signals. Through the utility model discloses, solved because of the problem of the circuit short circuit that leads to the condensation control not in place, equipment corrosion, and then reached the effect that improves the security of electric power cabinet operation process.

Description

Anti-condensation system of electric power cabinet
Technical Field
The embodiment of the utility model provides a relate to the power equipment field of transformer substation, particularly, relate to a condensation system is prevented to electric power cabinet.
Background
The power cabinet refers to important power equipment which is used for power generation, power transmission, power distribution, electric energy conversion and consumption of a power system and plays roles in on-off, control or protection and the like, such as a switch cabinet, a terminal box and the like. Because the electric power cabinet generally sets up in the open air, therefore the inside external environment that receives easily of electric power cabinet influences (like the humiture change) and produces the condensation, if not in time clear away these condensation, will lead to the inside electric power short circuit that produces of electric power cabinet to influence power system's normal operation.
In order to remove the condensation in time, a condensation monitoring system is arranged in the existing power cabinet to realize the real-time monitoring of the condensation, so that the condensation can be removed in time; the condensation monitoring system generally comprises a temperature and humidity detection module (such as a temperature and humidity sensor), a processing module (such as a single chip microcomputer or a PLC) and a condensation removing device (such as an exhaust fan or a heater).
The above scheme has certain defects: the main reason for generating the condensation is caused by temperature and humidity changes in the power cabinet, namely, the temperature difference between the equipment temperature in the cabinet and the environment temperature in the cabinet and the corresponding environment humidity change; when the external environment changes and reaches the condensation production condition, the condensation can be produced along with even if, because the interior equipment of electric power cabinet is more, and the equipment fixing position in the electric power cabinet is different, therefore be subject to the equipment fixing space, current condensation monitored control system can not carry out the condensation to all equipment in the electric power cabinet and detect, cause the control not in place easily this moment, thereby make the condensation that generates cause the erosion to the equipment in the electric power cabinet, cause the equipment short circuit even, influence the security of electric power cabinet.
SUMMERY OF THE UTILITY MODEL
The embodiment of the utility model provides a condensation system of preventing of electric power cabinet to realize detecting the problem not in place to condensation in the electric power cabinet among the relevant art at least.
According to the utility model discloses an embodiment provides a condensation system is prevented to electric power cabinet, include:
the condensation detection system is used for detecting the condensation state of equipment in the power cabinet and executing condensation prevention operation when condensation occurs;
wherein, the condensation detecting system includes:
the condensation detection sensor is arranged inside the power cabinet and used for detecting condensation state data of equipment in the power cabinet and outputting a detection signal;
the condensation real-time detection module is in communication connection with the condensation detection sensor and used for receiving a detection signal output by the condensation detection sensor; when the detection value of the detection signal is larger than a preset value, the condensation real-time detection module outputs a first control signal;
and the anti-condensation module is in communication connection with the condensation real-time detection module, and is used for receiving the first control signal and executing anti-condensation control operation on the interior of the power cabinet according to the first control signal.
Preferably, the system includes a plurality of the condensation detection sensors, and is respectively disposed on a plurality of devices in the power cabinet, and the plurality of condensation detection sensors correspond to the plurality of devices one to one.
Preferably, the condensation detection system further comprises:
the internal environment acquisition module is used for acquiring internal environment data of the power cabinet in real time and outputting a detection signal;
and the historical data storage module is in communication connection with the condensation detection sensor and the internal environment acquisition module respectively, and is used for storing the condensation state data as first historical data under the condition that a detection signal is received and storing the internal environment data as second historical data under the condition that an internal acquisition signal is received.
Preferably, the internal environment acquisition module includes:
the internal environment temperature and humidity acquisition unit is arranged inside the power cabinet and is used for acquiring temperature and humidity data in the power cabinet; wherein the internal environmental data includes the temperature and humidity data.
Preferably, the anti-condensation module includes at least one of:
the heating equipment is arranged in the power cabinet and used for increasing the ambient temperature in the power cabinet;
and the dehumidifying equipment is arranged in the power cabinet and used for reducing the environmental humidity in the power cabinet.
Preferably, the system further comprises: a condensation prediction system, the condensation prediction system comprising:
the external environment acquisition module is used for acquiring external environment data of the power cabinet; the external environment data includes weather forecast information;
the condensation prediction module is in signal connection with the external environment acquisition module and the historical data module, and is used for determining the probability of condensation in the power cabinet according to the external environment data, the first historical data and the second historical data and outputting a second control signal when the probability of condensation is greater than a preset value;
and the condensation prevention module is in communication connection with the condensation prediction module and is used for receiving the second control signal and executing condensation prevention control operation on the inside of the power cabinet according to the second control signal.
Preferably, the external environment acquisition module further includes:
and the meteorological data acquisition unit is in communication connection with the condensation prediction module and is used for acquiring weather forecast information outside the power cabinet.
Preferably, the condensation prediction module comprises:
the data sampling unit is in communication connection with the historical data storage module and is used for sampling the first historical data and the second historical data;
the data storage unit is in communication connection with the data sampling unit and is used for storing the sampling data of the data sampling unit;
and the state determining unit is in communication connection with the data storage unit and is used for determining the probability of condensation in the power cabinet according to the sampling data in the data storage unit.
Preferably, the state determination unit includes:
and the data analysis unit is in communication connection with the external environment acquisition module, and is used for determining the probability of condensation occurring in the power cabinet according to the external environment data and the target prediction model and outputting a second control signal when the probability of condensation is greater than a preset value.
Through the utility model discloses, through predicting the condensation probability, consequently, can adjust the environment in the electric power cabinet in advance, can solve because of the problem of the circuit short circuit that leads to untimely the condensation control, reach the effect of the security of electric power cabinet.
Drawings
Fig. 1 is a block diagram of a system architecture including a condensation detection system in accordance with an embodiment of the present invention;
fig. 2 is a block diagram of a system architecture including an internal environment collection module according to an embodiment of the present invention;
fig. 3 is a block diagram illustrating the structure of the device inside the electric cabinet according to the embodiment of the present invention;
FIG. 4 is a block diagram of a system architecture including a condensation prediction system in an embodiment of the present invention;
fig. 5 is a block diagram illustrating a structure of a condensation prediction module according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a condensation prediction model in an embodiment of the present invention;
fig. 7 is a schematic diagram illustrating a prediction result of a condensation prediction model according to an embodiment of the present invention;
fig. 8 is a block diagram of a system architecture including an alarm module in an embodiment of the present invention;
fig. 9 is a schematic diagram of a system structure showing an operation principle in the embodiment of the present invention;
fig. 10 is a schematic structural diagram illustrating a specific implementation scenario in an embodiment of the present invention.
Detailed Description
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings in conjunction with the embodiments.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In the present embodiment, there is provided a condensation preventing system for an electric power cabinet, as shown in fig. 1, the system including:
the condensation detection system is used for detecting the condensation state of equipment in the power cabinet and executing condensation prevention operation when condensation occurs;
wherein, condensation detecting system includes:
the condensation detection sensor 22 is arranged inside the power cabinet and used for detecting condensation state data of equipment in the power cabinet and outputting a detection signal;
the condensation real-time detection module 24 is in communication connection with the condensation detection sensor 22 and is used for receiving a detection signal output by the condensation detection sensor 22; when the detection value of the detection signal is greater than the preset value, the condensation real-time detection module 24 outputs a first control signal;
and the anti-condensation module 26 is in communication connection with the condensation real-time detection module 24, and is used for receiving the first control signal and executing anti-condensation control operation on the interior of the power cabinet according to the first control signal.
In this embodiment, gather the condition that has produced the condensation in the electric power cabinet at condensation detection sensor 22, condensation detection sensor 22 sends detecting signal to condensation real-time detection module 24, and condensation real-time detection module 24 sends first control signal to preventing condensation module 26 afterwards, prevents condensation module 26 afterwards and prevents condensation to the electric power cabinet and handle, makes the condensation in the electric power cabinet clear away to avoid the circuit in the electric power cabinet to take place the short circuit.
The condensation detection sensor 22 may be (but is not limited to) a condensation detection sensor with the model of UT-5234, and the condensation detection sensor 22 detects the condensation condition in the power cabinet in real time.
In an alternative embodiment, anti-condensation module 26 includes at least one of:
the heating device 262 is arranged in the power cabinet and used for increasing the ambient temperature in the power cabinet;
and the dehumidifying equipment 264 is arranged in the power cabinet and used for reducing the environmental humidity in the power cabinet.
The heating device 262 may be a heater for heating the power cabinet, the dehumidifying device 264 may be an exhaust fan for enhancing air circulation inside the power cabinet, the anti-condensation module 26 may be the heating device 262 or the dehumidifying device 264 alone, or a combination of the heating device 262 and the dehumidifying device 264, as long as the temperature and humidity inside the power cabinet can be kept unchanged or reduced, and the dew point temperature is also kept unchanged or reduced correspondingly, or a combination of the modules or devices, which is not described herein again.
Further, in order to implement the condensation detection on all the devices in the power cabinet and avoid detection errors caused by detection omission, in an optional embodiment, a plurality of condensation detection sensors 22 are provided and respectively arranged on a plurality of devices in the power cabinet, and the condensation detection sensors 22 correspond to the plurality of devices one by one; because the condensation detection sensor 22 corresponds to a plurality of equipment one-to-one, can make the condensation detection sensor 22 gather the condensation state of the equipment that corresponds respectively to avoid missing the detection error who causes because of detecting.
In an alternative embodiment, as shown in fig. 2, the condensation detection system 2 further comprises:
an internal environment acquisition module 28, configured to acquire internal environment data of the power cabinet in real time and output an internal acquisition signal;
and a historical data storage module 27, which is in communication connection with the condensation detection sensor 22 and the internal environment collection module 28, respectively, and is configured to store condensation state data of the equipment in the power cabinet detected by the condensation detection sensor 22 as first historical data when receiving the detection signal and store internal environment data as second historical data when receiving the internal collection signal.
In an alternative embodiment, as shown in FIG. 3, the internal environment acquisition module 28 includes:
the internal environment temperature and humidity acquisition unit 282 is arranged inside the power cabinet and is used for acquiring temperature and humidity data in the power cabinet; wherein the internal environmental data includes temperature and humidity data.
In an alternative embodiment, the internal ambient temperature collecting unit 282 may be a UT-5284 temperature and humidity sensor with temperature and humidity detection functions, which are not described herein.
In an alternative embodiment, to implement the signal transmission, the condensation detection system 2 further includes:
communication module 30, set up in the electric power cabinet, establish communication connection with condensation real-time detection module 24, condensation detection sensor 22, historical data storage module 27 for the condensation state data transmission of the equipment in the detection electric power cabinet that will condense condensation detection sensor 22 and gather is to condensation real-time detection module 24 and historical data storage module 27, and transmits the electric power cabinet internal environment data that internal environment collection module 28 gathered for historical data storage module 27.
It should be noted that, the communication module may be a wireless communication module capable of transmitting 433MHz signals, and implement data communication by receiving signals through a communication gateway of model TU-7225.
In an alternative embodiment, an anti-condensation system for an electrical cabinet further comprises:
a condensation prediction system, wherein, as shown in fig. 4, the condensation prediction system comprises:
an external environment acquisition module 42, configured to acquire external environment data of the power cabinet; the external environment data includes weather forecast information;
the condensation prediction module 44 is in communication connection with the external environment acquisition module 42 and the historical data storage module 27, and is used for determining the probability of condensation occurring in the power cabinet according to the external environment data, the first historical data and the second historical data, and outputting a second control signal when the condensation probability is greater than a preset value;
the anti-condensation module 26 is in communication connection with the condensation prediction module 44, and is configured to receive the second control signal and perform an anti-condensation control operation on the inside of the power cabinet according to the second control signal. In this embodiment, the external environment collection module 42 may (but is not limited to) include an environment detection device such as a temperature sensor, a humidity sensor, etc. disposed outside the power cabinet; the anti-condensation module 26 adjusts the environment (such as humidity or temperature) in the power cabinet after receiving the control signal to avoid the generation of condensation, thereby reducing the corrosion of the condensation to the equipment in the power cabinet. In this embodiment, the external environment collecting module 42 is to provide data for predicting whether a condensation condition is formed in the power cabinet to the condensation predicting module 44, and in order to predict the condensation risk, it is necessary to collect external environment data of the power cabinet within a preset time in the future, for example, predict the condensation probability within ten days in the future in the power cabinet, and in order to ensure the accuracy of the data, in an optional embodiment, the external environment collecting module 42 further includes:
and the meteorological data acquisition unit 422 is in communication connection with the condensation prediction module 44 and is used for acquiring weather data.
In this embodiment, the meteorological data collecting unit 422 may be (but is not limited to) a network data receiving device that is communicated with a meteorological office network or a weather station network of an area where the power cabinet is located, where the network data receiving device is configured to receive meteorological data published by the meteorological office within 10 days in the future, and the meteorological data may include data such as wind power size, sunshine duration, direct solar angle, precipitation probability, precipitation amount size, precipitation duration, and the like of the area where the power cabinet is located, in addition to temperature data and/or humidity data of an external environment of the power cabinet; in another alternative embodiment, the weather data acquisition unit 422 can also be an image recognition device for recognizing weather data in weather images issued by the weather bureau; when the meteorological data acquisition unit 422 receives the meteorological data, the meteorological data acquisition unit 422 screens the meteorological data and transmits the screened data to the condensation prediction module 44.
In an alternative embodiment, as shown in FIG. 5, the condensation prediction module 44 includes:
a data sampling unit 442, which is in communication connection with the historical data storage module 27 and is used for sampling the first historical data and the second historical data stored in the historical data storage module 27;
in this embodiment, the data sampling unit 442 may be (but is not limited to) a data processing module capable of performing screening sampling on the first historical data and the second historical data, and the sampling process may be random sampling on the meteorological data, system sampling, hierarchical sampling, or a combination of two or two of the above sampling methods, or a combination of three of the sampling methods, as long as the data can be sampled on the premise of guaranteeing the authenticity of the data.
A data storage unit 444, which is connected to the data sampling unit 442 for storing the sampled data of the data sampling unit 442;
the data acquired by the data sampling unit 442 is stored in the data storage unit 444, and the acquired sampled data is gradually accumulated, so that the data samples in the data storage unit 444 can be used as a data model training basis.
In this embodiment, the data storage unit 444 may be a storage module for storing data, such as a SARM module, an EEPROM module, or the like, or may be an online storage platform having a data storage function and composed of a plurality of virtual servers hosted by a third party, such as cloud storage, or the like, as long as the storage of data is achieved.
And the state determination unit 446 is in communication connection with the data storage unit 444 and is used for determining the probability of condensation occurring in the power cabinet according to the sampling data in the data storage unit 444.
The process of determining the condensation probability includes performing data calculation by using a trained target prediction model capable of predicting the condensation probability and data stored in the data storage unit 444.
To implement the calculation of data, the state determination unit 446 includes:
the data analysis unit 4466 is in communication connection with the external environment acquisition module 42, and is configured to determine, according to the target prediction model and the external environment data, a probability of condensation occurring in the power cabinet, and output a second control signal when the probability of condensation is greater than a preset value; the target prediction model is determined by training a preset prediction model according to the internal historical data and the external historical data.
In this embodiment, the target prediction model is a trained data model, and the external environment data collected by the external environment collection module 42 is used as an input parameter of the target prediction model, so that the dew point temperature at which dew will be generated at a certain time in the future and the probability corresponding to the dew point temperature can be calculated, and the dew probability can be obtained. In this embodiment, the data analysis unit 4466 may be a CPU with data operation capability, a matrix server, or other devices with data operation function, as long as it can perform data operation, and will not be described herein again.
In an alternative embodiment, to determine the target prediction model, the state determination unit 446 further includes:
a feature extraction unit 4462, which is in communication connection with the data storage unit 444 and is used for performing feature extraction on the data in the data storage unit 444;
the characteristic extraction indication is to extract characteristic factors influencing the generation of condensation according to the change of the environmental temperature and humidity; for example, in one alternative embodiment, the extracted data features are shown in table 1:
feature 1 Feature 2 Feature 3 Feature 4 Feature 5 Feature 6 Feature 7
Temperature of Is not changed Rise up Rise up Descend Rise up Is not changed Reduce
Humidity Rise up Is not changed Rise up Rise up Descend Is not changed Reduce
Dew point temperature Rise up Rise up Rise up Rise up Rise up Is not changed Reduce
Condensation generation Is that Is that Is that Is that Is that Whether or not Whether or not
TABLE 1
As can be seen from table 1, condensation occurs in all cases except for the case where neither temperature nor humidity is changed or decreased. Therefore, when condensation occurs, the dew point temperature calculated based on the temperature and humidity constantly increases regardless of changes in the temperature and humidity.
Accordingly, the change rate of the dew point temperature can be calculated as a characteristic factor of the generation of dew condensation.
The model training unit 4468 is in communication connection with the data storage unit 444 and the feature extraction unit 4462, and is configured to train a preset prediction model by using the features of the internal environment data extracted by the feature extraction unit 4462 and the internal history data and the external history data stored in the data storage unit 444 as sample data to determine a target prediction model.
In an optional embodiment, the model training unit 4468 may train the preset prediction model in a deep learning manner through a convolutional neural network, or may train the prediction model in a data iteration manner, as long as further accurate adjustment of the prediction model can be achieved, so that the prediction model can accurately predict the dew point temperature, which is not described herein again.
In an alternative embodiment, the predetermined prediction model may be obtained by:
the corresponding dew point temperature Td is calculated based on the environmental temperature Ta and the environmental humidity RH of the weather forecast, and then whether condensation is generated or not is predicted according to the change of the dew point temperature Td, that is, the condensation is more likely to be generated as the dew point temperature rises.
Wherein, the dew point temperature calculation formula of the air can be deduced according to the Magnus data calculation model:
Figure BDA0002718166710000101
in the formula:
td is the dew point temperature (. degree. C.) of the air;
e the water vapor pressure (hPa) of air;
a. b, the parameter a is 7.5, and b is 237.3.
And constructing a condensation analysis model as shown in fig. 6 according to the formula and based on the forward neuron network model:
wherein, the neuron comprises the following components:
1) inputting: vector x of dimension niAnd forecasting the dew point change value at the N point in a certain time window for the weather.
2) Linear weighting:
Figure BDA0002718166710000102
wherein b is 0, wiIs the weight of the extracted feature.
3) Activation function:
Figure BDA0002718166710000111
wherein e is the water vapor pressure of air.
4) And (3) outputting: and a is h (z), wherein a is the output condensation generation probability.
Fig. 7 is a probability result of prediction of the trained target prediction model according to the external environment data acquired by the external environment acquisition module 42.
In an alternative embodiment, to remind the staff member, so that the staff member can perform the condensation removing process on the power cabinet to generate condensation, as shown in fig. 8, the system further includes:
and the alarm module 46 is in communication connection with the condensation prediction module 44, and is used for receiving the condensation probability data and giving an alarm when the condensation probability is greater than a preset value. In an alternative embodiment, the alarm module 46 may be a buzzer alarm, an indicator light with a visual prompting function, or a combination of an indicator light and a buzzer alarm.
Referring to fig. 9, in an alternative embodiment, the present invention is implemented by the following principles:
the internal environment temperature and humidity acquisition unit 282 acquires internal environment temperature and humidity data of the power cabinet, the condensation detection sensor 22 acquires the condensation state inside the power cabinet, the data sampling unit 442 samples the internal environment data of the power cabinet and the condensation state inside the power cabinet, the sampled data is stored in the data storage unit 444 to form a database, the feature extraction unit 4462 performs feature extraction on sample data in the data storage unit 444, the extracted features are transmitted to the model training unit 4464 to train a preset prediction model, and a target prediction model capable of being predicted is obtained;
then, the external environment acquisition module 42 transmits the acquired external environment data of the power cabinet to the data analysis unit 4466, the data analysis unit 4466 calculates the condensation probability according to the target prediction model and the external environment data, and outputs a control signal when the condensation probability is greater than a preset value, and then the condensation prevention module 26 performs condensation prevention control operation, and meanwhile, the alarm module 46 performs prompt alarm.
As shown in fig. 10, in another embodiment, an ethernet data connection may be (but is not limited to) established between the dehumidifier and the communication gateway through the switch, and the data collected by the condensation detection sensor and the temperature and humidity sensor is sent to the monitoring system through the switch, where the monitoring system includes a condensation prediction module 44, and then the monitoring system performs data analysis and condensation state monitoring according to the data collected by the detection sensor and the temperature and humidity sensor, and sends the monitoring result to the PC client and the mobile client, and then feeds back a control signal to the communication gateway through the mobile client and/or the PC client, and then sends a control signal to the dehumidifier for preventing condensation through the communication gateway, so that the dehumidifier performs an anti-condensation control operation.
The term "module" used in the present embodiment may implement a combination of predetermined functional hardware. It should be noted that, the above modules may be implemented by hardware, and may also be implemented by the following manner, but is not limited to this: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.

Claims (4)

1. The utility model provides an anti-condensation system of electric power cabinet which characterized in that includes:
the condensation detection system is used for detecting the condensation state of equipment in the power cabinet and executing condensation prevention operation when condensation occurs;
wherein, the condensation detecting system includes:
the condensation detection sensor is arranged inside the power cabinet and used for detecting condensation state data of equipment in the power cabinet and outputting a detection signal;
the condensation real-time detection module is in communication connection with the condensation detection sensor and used for receiving a detection signal output by the condensation detection sensor; when the detection value of the detection signal is larger than a preset value, the condensation real-time detection module outputs a first control signal;
the condensation prevention module is in communication connection with the condensation real-time detection module, and is used for receiving the first control signal and executing condensation prevention control operation on the interior of the power cabinet according to the first control signal;
the condensation detection system comprises a plurality of condensation detection sensors which are respectively arranged on a plurality of devices in the power cabinet, and the condensation detection sensors are in one-to-one correspondence with the devices.
2. The system of claim 1, wherein the condensation detection system further comprises:
the internal environment acquisition module is used for acquiring internal environment data of the power cabinet in real time and outputting an internal acquisition signal;
and the historical data storage module is in communication connection with the condensation detection sensor and the internal environment acquisition module respectively, and is used for storing the condensation state data as first historical data under the condition that a detection signal is received and storing the internal environment data as second historical data under the condition that an internal acquisition signal is received.
3. The system of claim 2, wherein the internal environment acquisition module comprises:
the internal environment temperature and humidity acquisition unit is arranged inside the power cabinet and is used for acquiring temperature and humidity data in the power cabinet; wherein the internal environmental data includes the temperature and humidity data.
4. The system of claim 1, wherein the anti-condensation module comprises at least one of:
the heating equipment is arranged in the power cabinet and used for increasing the ambient temperature in the power cabinet;
and the dehumidifying equipment is arranged in the power cabinet and used for reducing the environmental humidity in the power cabinet.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115719998A (en) * 2022-11-17 2023-02-28 宁波天仑电气股份有限公司 Intelligent switch cabinet supervision method and system and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115719998A (en) * 2022-11-17 2023-02-28 宁波天仑电气股份有限公司 Intelligent switch cabinet supervision method and system and storage medium

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