CN116775635A - Method and system for correcting data of energy system equipment - Google Patents
Method and system for correcting data of energy system equipment Download PDFInfo
- Publication number
- CN116775635A CN116775635A CN202310791535.4A CN202310791535A CN116775635A CN 116775635 A CN116775635 A CN 116775635A CN 202310791535 A CN202310791535 A CN 202310791535A CN 116775635 A CN116775635 A CN 116775635A
- Authority
- CN
- China
- Prior art keywords
- data
- rule
- simulation operation
- module
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004088 simulation Methods 0.000 claims abstract description 66
- 230000007246 mechanism Effects 0.000 claims abstract description 42
- 238000012937 correction Methods 0.000 claims abstract description 23
- 238000012986 modification Methods 0.000 claims description 8
- 230000004048 modification Effects 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000012790 confirmation Methods 0.000 claims description 4
- 238000005265 energy consumption Methods 0.000 description 7
- 238000005259 measurement Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 238000013480 data collection Methods 0.000 description 3
- 238000010248 power generation Methods 0.000 description 3
- 238000001816 cooling Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000010438 heat treatment Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 235000008694 Humulus lupulus Nutrition 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
Abstract
The invention belongs to the technical field of energy systems, and particularly relates to an energy system equipment data correction method and system. The method comprises the following steps: establishing a mechanism model and an operation rule model of energy equipment and system; collecting data, and dividing the collected data into an operation group and a control group; inputting the operation group data into a mechanism model for operation to obtain simulation operation data of the mechanism model; judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result; and when the error is in the allowable range, the comparison group data and the simulation operation data are used as data conditions of the rule model, and whether the operation rule is met or not is confirmed. According to the invention, through the equipment combining the equipment mechanism model and the operation rule model, accurate correction of the data of the comparison group is realized, and whether the data of the comparison group accords with the operation rule or not is detected after correction is finished, so that the problem can be found in time.
Description
Technical Field
The invention belongs to the technical field of energy systems, and particularly relates to an energy system equipment data correction method and system.
Background
The data collection of the energy system equipment is an important basis for energy supply prediction, transportation and regulation. At present, in the aspect of equipment data acquisition, equipment management is mainly used as a center, error checking, cleaning and running state detection are focused, the equipment data acquisition is limited by a definite inspection and data analysis period, and running problems of a data acquisition device are difficult to discover and correct in time.
At present, the correction method of the abnormal equipment data comprises an interpolation method, a similar daily average method and the like. The interpolation method mainly comprises the step of interpolating a continuous function on the basis of discrete data, so that the continuous curve passes through all given discrete data points, and the approximation value of the function at other points can be estimated by utilizing the interpolation method through the value taking condition of the function at a limited number of points. For example, chinese patent application discloses a data correction method and system, in which a lagrangian interpolation method is used to process the actual measurement point value and the third historical data, so as to obtain a replacement value of the actual measurement point value and a replacement value of the third historical data. Specifically, the actual measurement point values and the third historical data are arranged in a descending order according to a time sequence; taking the actual measurement point value and the third historical data as default data, and constructing an actual function of the default data about the time sequence; constructing an interpolation polynomial related to the actual function based on the actual function; and obtaining a replacement value of the actual measurement point value and a replacement value of the third historical data according to the interpolation polynomial. The traditional correction processing mode is rough, abnormal data cannot be corrected accurately, and the correction effect on the data is not ideal.
The Chinese patent also discloses an automatic optimizing intelligent energy control system and method based on big data analysis, wherein the method specifically discloses a data acquisition module for acquiring the energy consumption data of each device in real time; the data correction unit is used for receiving the equipment energy consumption data acquired by the data acquisition module in real time, intelligently analyzing and judging the equipment energy consumption data, correspondingly correcting error data, and supplementing and aligning missing data according to a storage rule and a change rule of acquired object data to obtain complete energy consumption data; the prediction model unit comprises an energy consumption prediction calculation model, the prediction model unit loads the equipment acquisition data of the acquisition data unit to the energy consumption prediction calculation model, and the calculation model analyzes the acquisition data and combines the energy big data to generate an energy consumption prediction result of various current equipment under the current running condition. From the above, it can be seen that, in this method, the error data is corrected by intelligent analysis and judgment of the data, but the corrected result is not checked, so that it cannot be more intuitively understood whether the corrected result meets the standard, and the correction effect cannot be ensured.
Disclosure of Invention
In view of the above problems, the present invention provides a method for correcting data of an energy system device, the method comprising:
establishing a mechanism model and an operation rule model of energy equipment and system;
collecting data, and dividing the collected data into an operation group and a control group;
inputting the operation group data into a mechanism model for operation to obtain simulation operation data of the mechanism model;
judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result;
and when the error is in the allowable range, the comparison group data and the simulation operation data are used as data conditions of the rule model, and whether the operation rule is met or not is confirmed.
Preferably, the collecting data further includes:
and determining a data acquisition scheme, acquisition instruments and meters and a data communication transmission form according to the energy equipment and the system.
Preferably, the correction of the control group data according to the judgment result includes:
when the control group data is missing, the simulation operation data is used as the control group data to be supplemented;
when the data of the control group is wrong, correcting the data of the control group according to the simulation operation data;
and when the error of the comparison group data and the simulation operation data exceeds the allowable range, the data are collected again and the mechanism model operation is carried out.
Preferably, the confirming whether the operation rule is met includes:
when the comparison group data and the simulation operation data do not accord with the rule, giving a fault alarm, and recommending a corresponding operation and maintenance scheme according to the energy system and the fault information thereof;
when the comparison group data and the simulation operation data accord with the rule, the correction is finished.
The invention also provides an energy system equipment data correction system, which comprises: the system comprises a model construction module, an acquisition data grouping module, a simulation operation module, a judgment module and a rule confirmation module;
the model construction module is used for establishing a mechanism model and an operation rule model of the energy equipment and the system;
the data acquisition grouping module is used for acquiring data and dividing the acquired data into an operation group and a comparison group;
the simulation operation module is used for inputting the operation group data into the mechanism model for operation to obtain simulation operation data of the mechanism model;
the judging module is used for judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result;
and the rule confirming module is used for taking the comparison group data and the simulation operation data as the data conditions of the rule model when the error is in the allowable range, and confirming whether the operation rule is met or not.
Preferably, the system further comprises a determination module,
the determining module is used for determining a data acquisition scheme, an acquisition instrument and meter and a data communication transmission form according to the energy equipment and the system.
Preferably, the determining module is configured to correct the data of the control group according to the determination result, and includes:
when the control group data is missing, the simulation operation data is used as the control group data to be supplemented;
when the data of the control group is wrong, correcting the data of the control group according to the simulation operation data;
and when the error of the comparison group data and the simulation operation data exceeds the allowable range, the data are collected again and the mechanism model operation is carried out.
Preferably, the rule confirmation module is configured to confirm whether the operation rule is met, and includes:
when the comparison group data and the simulation operation data do not accord with the rule, giving a fault alarm, and recommending a corresponding operation and maintenance scheme according to the energy system and the fault information thereof;
when the comparison group data and the simulation operation data accord with the rule, the correction is finished.
The invention has the following beneficial effects:
the method comprises the steps of establishing a mechanism model and an operation rule model of energy equipment and system; collecting data, and dividing the collected data into an operation group and a control group; inputting the operation group data into a mechanism model for operation to obtain simulation operation data of the mechanism model; judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result; and when the error is in the allowable range, the comparison group data and the simulation operation data are used as data conditions of the rule model, and whether the operation rule is met or not is confirmed. According to the invention, through the equipment combining the equipment mechanism model and the operation rule model, accurate correction of the data of the comparison group is realized, and whether the data of the comparison group accords with the operation rule or not is detected after correction is finished, so that the problem can be found in time.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram showing a method for correcting data of an energy system device in an embodiment of the present invention;
FIG. 2 is a detailed flowchart of a method for correcting data of an energy system device according to an embodiment of the present invention;
fig. 3 shows a system diagram for correcting data of an energy system device in an embodiment of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the present invention proposes a method for correcting data of an energy system device, the method comprising:
(1) Establishing a mechanism model and an operation rule model of energy equipment and system;
(2) Collecting data, and dividing the collected data into an operation group and a control group;
in this embodiment, the data is obtained by docking devices or systems such as an acquisition rod, an instrument, and the like, and the types of the data include, but are not limited to, environmental parameters, device operation parameters, device design parameters, and the like;
(3) Inputting the operation group data into a mechanism model for operation to obtain simulation operation data of the mechanism model;
the data acquisition further comprises the following steps: and determining a data acquisition scheme, acquisition instruments and meters and a data communication transmission form according to the energy equipment and the system.
(4) Judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result;
correcting the data of the control group according to the judging result, including: when the control group data is missing, the simulation operation data is used as the control group data to be supplemented; when the comparison group data is wrong, the comparison group data is corrected according to the simulation operation data, and in this embodiment, the type of the error of the comparison group data includes: data magnitude errors, data hops, etc. When this occurs, the abnormality of the data can be judged only by experience and history data before, but it cannot be said how much should be, and the calculated value can be replaced by the abnormal control group data by the mechanism model calculation; when the error between the comparison group data and the simulation operation data exceeds the allowable range, the data are collected again and the mechanism model operation is performed, in this embodiment, because the collected data have volatility, for example, the error between the comparison group data collected at a certain moment and the simulation operation data exceeds the allowable range, the data are collected again and compared with the simulation operation result, if the error returns to the allowable range, the new comparison group data are used as final data, and if the error still exceeds the allowable range, the comparison group data are considered to be wrong, and the previous operation is performed. This tolerance was chosen to be 5% in the engineering range.
(5) And when the error is in the allowable range, the comparison group data and the simulation operation data are used as data conditions of the rule model, and whether the operation rule is met or not is confirmed.
The confirming whether the operation rule is met comprises the following steps: when the comparison group data and the simulation operation data do not accord with the rule, giving a fault alarm, and recommending a corresponding operation and maintenance scheme according to the energy system and the fault information thereof; when the comparison group data and the simulation operation data accord with the rule, the correction is finished. In this embodiment, the operation rule is relatively broad, for example, data collection and modeling simulation are performed on the photovoltaic power generation system, where the operation rule should be an operation rule of the photovoltaic power generation system, for example, a relationship between a component current and an inverter current, a relationship between a voltage, and the like may be considered as an operation rule of the photovoltaic power generation system; for the cooling and heating system, the energy system structure needs to be clarified, and the relation among flow, temperature, pressure, running current of the electric refrigerator and the like can be clarified according to the system structure, so that the system can be regarded as the running rule of the cooling and heating system; the operating rules need to be dependent on the specific form of the energy system and the manner in which the devices are connected.
In actual operation, as shown in fig. 2, step one, determining a data acquisition scheme according to equipment and a control system, and determining acquisition instruments and data communication transmission forms; establishing a mechanism model of energy equipment and a system; establishing an operation rule model of the energy equipment and the system; the energy equipment mechanism model is established as follows: 1. a mechanism model of main parts of equipment, such as an electric refrigerator, is established, and the mechanism model is divided into four parts: the compressor, the evaporator, the condenser and the expansion valve are respectively modeled, and then the four components are combined into an electric refrigerator mechanism model, so that the mechanism model of the equipment is built; 2. similar to equipment modeling, the equipment is connected to form a mechanism model of an energy system; 3. the operation rule model of the energy equipment and the system is mainly a model established according to historical past operation data and operation experience; such as a comparison of the inlet temperature and the outlet temperature of a device, may be used as an operational rule model.
Step two, collecting data according to the data collection scheme in the step one, and dividing the collected data into an operation group and a comparison group;
step three, inputting the operation group data into a mechanism model for operation to obtain simulation operation data of the model under variable working conditions;
judging whether the data errors of the simulation data and the control group are in an allowable range or not, namely comparing a result obtained by performing difference processing on the two data with a standard value, wherein the engineering allowable error is generally 5%; if the data of the comparison group is missing, the simulation operation data is used as the data of the comparison group to be supplemented, and a fifth step is carried out; if the data of the comparison group is wrong, correcting the data of the comparison group according to the simulation operation data, and performing a fifth step; returning to the second step when the error exceeds the allowable range; when the error is within the allowable range, performing a fifth step;
step five, taking the data of the control group and the simulation operation data as the data conditions of the rule model;
step six, judging whether the data conditions generated in the step five accord with the operation rules; when the operation rule is met, finishing correction; and if the energy system does not accord with the rule, giving a fault alarm, and recommending a corresponding operation and maintenance scheme according to the energy system and the fault information thereof.
Through the operation, the accurate correction of the data of the comparison group is realized by combining the equipment mechanism model and the equipment of the operation rule model, and whether the data of the comparison group accords with the operation rule or not is detected after the correction is finished, so that the problem can be found in time.
As shown in fig. 3, the present invention proposes an energy system device data correction system, the system comprising: the system comprises a model construction module, an acquisition data grouping module, a simulation operation module, a judgment module and a rule confirmation module.
The model construction module is used for establishing a mechanism model and an operation rule model of the energy equipment and the system;
the data acquisition grouping module is used for acquiring data and dividing the acquired data into an operation group and a comparison group;
the simulation operation module is used for inputting the operation group data into the mechanism model for operation to obtain simulation operation data of the mechanism model;
the judging module is used for judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result; the judging module is used for correcting the data of the control group according to the judging result, and comprises the following steps: when the control group data is missing, the simulation operation data is used as the control group data to be supplemented; when the data of the control group is wrong, correcting the data of the control group according to the simulation operation data;
and when the error of the comparison group data and the simulation operation data exceeds the allowable range, the data are collected again and the mechanism model operation is carried out.
And the rule confirming module is used for taking the comparison group data and the simulation operation data as the data conditions of the rule model when the error is in the allowable range, and confirming whether the operation rule is met or not.
The system also comprises a determining module, wherein the determining module is used for determining a data acquisition scheme, an acquisition instrument and meter and a data communication transmission form according to the energy equipment and the system.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Those of ordinary skill in the art will appreciate that: although the invention has been described in detail with reference to the foregoing embodiments, it is to be understood that modifications may be made to the technical solutions described in the foregoing embodiments, or equivalents may be substituted for some of the technical features thereof; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for modifying data of an energy system device, the method comprising:
establishing a mechanism model and an operation rule model of energy equipment and system;
collecting data, and dividing the collected data into an operation group and a control group;
inputting the operation group data into a mechanism model for operation to obtain simulation operation data of the mechanism model;
judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result;
and when the error is in the allowable range, the comparison group data and the simulation operation data are used as data conditions of the rule model, and whether the operation rule is met or not is confirmed.
2. The method for modifying data of an energy system device according to claim 1, further comprising, before collecting the data:
and determining a data acquisition scheme, acquisition instruments and meters and a data communication transmission form according to the energy equipment and the system.
3. The method for data modification of an energy system device according to claim 1, wherein,
correcting the data of the control group according to the judging result, including:
when the control group data is missing, the simulation operation data is used as the control group data to be supplemented;
when the data of the control group is wrong, correcting the data of the control group according to the simulation operation data;
and when the error of the comparison group data and the simulation operation data exceeds the allowable range, the data are collected again and the mechanism model operation is carried out.
4. The method for data modification of an energy system device according to claim 1, wherein,
the confirming whether the operation rule is met comprises the following steps:
when the comparison group data and the simulation operation data do not accord with the rule, giving a fault alarm, and recommending a corresponding operation and maintenance scheme according to the energy system and the fault information thereof;
when the comparison group data and the simulation operation data accord with the rule, the correction is finished.
5. An energy system plant data modification system, the system comprising: the system comprises a model construction module, an acquisition data grouping module, a simulation operation module, a judgment module and a rule confirmation module;
the model construction module is used for establishing a mechanism model and an operation rule model of the energy equipment and the system;
the data acquisition grouping module is used for acquiring data and dividing the acquired data into an operation group and a comparison group;
the simulation operation module is used for inputting the operation group data into the mechanism model for operation to obtain simulation operation data of the mechanism model;
the judging module is used for judging whether the error of the comparison group data and the simulation operation data is in an allowable range or not, and correcting the comparison group data according to a judging result;
and the rule confirming module is used for taking the comparison group data and the simulation operation data as the data conditions of the rule model when the error is in the allowable range, and confirming whether the operation rule is met or not.
6. The energy system plant data modification system according to claim 5, further comprising a determination module,
the determining module is used for determining a data acquisition scheme, an acquisition instrument and meter and a data communication transmission form according to the energy equipment and the system.
7. The energy system apparatus data modification system according to claim 5, wherein,
the judging module is used for correcting the data of the control group according to the judging result, and comprises the following steps:
when the control group data is missing, the simulation operation data is used as the control group data to be supplemented;
when the data of the control group is wrong, correcting the data of the control group according to the simulation operation data;
and when the error of the comparison group data and the simulation operation data exceeds the allowable range, the data are collected again and the mechanism model operation is carried out.
8. The energy system apparatus data modification system according to claim 5, wherein,
the rule confirming module is used for confirming whether the operation rule is met or not, and comprises the following steps:
when the comparison group data and the simulation operation data do not accord with the rule, giving a fault alarm, and recommending a corresponding operation and maintenance scheme according to the energy system and the fault information thereof;
when the comparison group data and the simulation operation data accord with the rule, the correction is finished.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310791535.4A CN116775635A (en) | 2023-06-29 | 2023-06-29 | Method and system for correcting data of energy system equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310791535.4A CN116775635A (en) | 2023-06-29 | 2023-06-29 | Method and system for correcting data of energy system equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116775635A true CN116775635A (en) | 2023-09-19 |
Family
ID=88006137
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310791535.4A Pending CN116775635A (en) | 2023-06-29 | 2023-06-29 | Method and system for correcting data of energy system equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116775635A (en) |
-
2023
- 2023-06-29 CN CN202310791535.4A patent/CN116775635A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| He et al. | Mission reliability evaluation for fuzzy multistate manufacturing system based on an extended stochastic flow network | |
| CN106351793B (en) | System and method for improving wind power generation | |
| US10355478B2 (en) | System and method for asset health monitoring using multi-dimensional risk assessment | |
| US6922640B2 (en) | Method for the estimating of the residual service life of an apparatus | |
| KR101941854B1 (en) | System and method of estimating load with null data correction | |
| CN104390657A (en) | Generator set operating parameter measuring sensor fault diagnosis method and system | |
| CN103471729A (en) | Device temperature early warning method and application thereof | |
| CN105468850A (en) | Multi-residual error regression prediction algorithm based electronic product degradation trend prediction method | |
| CN113239132A (en) | Online out-of-tolerance identification method for voltage transformer | |
| CN108445865B (en) | Method and system for dynamic alarm of main and auxiliary equipment of thermal power generating unit | |
| CN112836941A (en) | Online health condition evaluation method for high-pressure steam turbine system of coal-electric unit | |
| CN116433045A (en) | Accurate supply management method and system for electric power emergency materials | |
| CN116227637A (en) | Active power distribution network oriented refined load prediction method and system | |
| CN104834305B (en) | Distribution automation terminal remote measurement exception analysis system and method based on DMS systems | |
| CN110880055A (en) | Building intelligent ammeter system | |
| CN116775635A (en) | Method and system for correcting data of energy system equipment | |
| CN113632025A (en) | Methods, systems, and computer program products for assessing energy consumption in an industrial environment | |
| Sala et al. | Disaggregation of HVAC load profiles for the monitoring of individual equipment | |
| CN112734158B (en) | Thermoelectric load distribution method and device of generator set and electronic equipment | |
| CN110083804B (en) | Wind power plant SCADA data missing intelligent repairing method based on condition distribution regression | |
| CN112088244B (en) | Sensor-based calculation of gas turbine service intervals | |
| CN111983478A (en) | Electrochemical energy storage power station SOC anomaly detection method based on Holt linear trend model | |
| CN114488798B (en) | Method for monitoring performance and optimizing operation of secondary reheating unit based on data coordination | |
| Jharko et al. | Informational Task “Calculation of Technical and Economic Indicators” NPP I&C ULCS and Risk Potential Assessment | |
| CN113555856B (en) | Intelligent control method, device and system for circuit breaker |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |