CN112101799B - Standard state dividing method and device based on wind farm data - Google Patents
Standard state dividing method and device based on wind farm data Download PDFInfo
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Abstract
The invention discloses a standard state dividing method and device based on wind farm data. The method comprises the following steps: collecting data information of wind power plant production equipment according to a communication protocol; carrying out real-time and transaction real-time association processing on the data information to obtain real-time data; carrying out standard state calculation on the real-time data to obtain a standard state of the wind power plant unit; and judging the 16 standard states of the actual running of the fans according to the standard states of the wind power plant units. According to the invention, the problem that the running state judgment of the whole plant unit is comprehensively perfected by multidimensional data under the condition that the state information of the whole plant unit is missing is effectively solved, and a strict state division standard is provided for the subsequent calculation of operation indexes, so that management staff can more accurately prepare a scheduling production task, more reasonably allocate plant station resources and further help a power grid to consume more wind power.
Description
Technical Field
The invention relates to the field of wind power plants, in particular to a standard state dividing method and device based on wind power plant data.
Background
As wind generating set manufacturers are different and the main control systems are different, the definition of the running state index of the fan is diversified. The centralized control operation and maintenance system cannot accurately judge the actual running state of the fan, and the relevant factory state definition is not applicable to the actual production operation and management requirements.
Disclosure of Invention
The invention aims to provide a standard state dividing method and device based on wind farm data, which aim at the dynamic change characteristics of wind turbine generator sets, and divide and classify the states of the wind turbine generator sets in detail according to actual service requirements.
In order to achieve the above object, the present invention provides the following solutions:
a standard state partitioning method based on wind farm data, comprising:
collecting data information of wind power plant production equipment according to a communication protocol;
carrying out real-time and transaction real-time association processing on the data information to obtain real-time data;
carrying out standard state calculation on the real-time data to obtain a standard state of the wind power plant unit;
and judging the 16 standard states of the actual running of the fans according to the standard states of the wind power plant units.
Further, the 16 standard states of actual operation include a grid affected state, an on-site affected state, a communication interrupted state, a normal power generation state, a power limit power generation state, a power generation with defect state, a power limit maintenance state, a fault maintenance state, a pre-maintenance state, a check maintenance state, an environmental affected state, a fault shutdown state, a power limit shutdown state, a manual shutdown state, a wind waiting state, and other states.
Further, the judging the standard state of the actual operation of the fan according to the standard state of the wind farm unit specifically includes:
judging whether the standard state of the wind power plant unit belongs to communication interruption or not;
if the judging result shows that the standard state of the wind power plant unit belongs to communication interruption, entering the judging calculation of the affected relevant state, checking a single-machine signal of a data sending line of a booster station, if a combined bit signal CMPT_Scx= 1 is displayed, judging the affected state of a power grid, otherwise, reading an in-field affected state signal error_cnsl, if the combined bit of the in-field affected signal error_cnsl= 1, judging the in-field affected state, and if the combined bit of the in-field affected signal error_cnsl= 0, judging the communication interruption state;
judging whether the standard state of the wind power plant unit belongs to an operation power generation state or not;
if the judging result shows that the standard state belongs to an operation Power generation state, entering Power generation related state judging calculation, if a normal Power generation alarM CMPT_power_alarm= 1 appears, judging the normal Power generation state, otherwise, entering a Power limiting Power generation state or a Power generation state with defects, if a single Power limiting signal dj_xiangong lv= 1, defining the Power generation state, and if a single Power limiting signal dj_xiangong lv= 0, defining the Power generation state with defects;
judging whether the standard state of the wind power plant unit belongs to other states or not;
if the judging result shows that the standard state of the wind power plant unit belongs to other states, judging whether the standard state of the wind power plant unit belongs to a maintenance state CMPT_Standard State= 5, and if the single-machine power limit signal dj_xingonglv= 1, limiting the power generation state; if the signal is the simultaneous single-machine power limit signal dj_xingonglv= 0, judging whether the last state is a fault shutdown state, if so, judging that the state is a fault maintenance state, and if not, judging that the state is a pre-maintenance state;
if the judging result shows that the standard state of the wind power plant unit belongs to other states CMPT_Standard states= 3 and 4, judging whether a fan has a fault code, if so, judging a fault shutdown state, and if not, judging an environment affected state; if no fault code occurs and the environmental factor bit error_hjsl= =0 and the single power limit signal combination bit dj_xingonglv= 1, judging as a power limit stop state; if no fault code occurs and the environmental factor bit error_hjsl= 0 and the single-machine limited power signal bit dj_xingonglv= 0, judging that the system is in a manual shutdown state;
if the judging result indicates that the standard state of the wind farm unit belongs to other states cmpt_standard states= 2, and the previous state is the previous state maintenance state_last= 10, fault maintenance state_last= 9, fixed maintenance state_last= 11, limit maintenance state_last= 8, fault shutdown state_last= 6, limit shutdown state_last= 5 and manual shutdown state_last= 7, the last state is kept, otherwise, the standby state is judged.
A standard state partitioning apparatus based on wind farm data, comprising: the system comprises a front acquisition server, a real-time library server and a calculation server which are connected in sequence;
the front acquisition server is used for acquiring data information of wind power plant production equipment according to a communication protocol and outputting the data information to the real-time server;
the real-time server is used for carrying out real-time and transaction real-time association processing on the data information to obtain real-time data;
the calculation server is used for carrying out standard state calculation on the real-time data to obtain a standard state of the wind turbine generator set; and judging the 16 standard states of the actual running of the fans according to the standard states of the wind power plant units.
Further, the 16 standard states of actual operation include a grid affected state, an on-site affected state, a communication interrupted state, a normal power generation state, a power limit power generation state, a power generation with defect state, a power limit maintenance state, a fault maintenance state, a pre-maintenance state, a check maintenance state, an environmental affected state, a fault shutdown state, a power limit shutdown state, a manual shutdown state, a wind waiting state, and other states.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the method and the device provided by the invention combine the state data of the whole-field unit to accurately judge the actual operation of the unit in real time. The method can effectively solve the problem that the operation state judgment of the whole-plant unit is comprehensively perfected by multidimensional data under the condition that the state information of the method is missing, and provides strict state division standards for the subsequent calculation of operation indexes, so that management staff can more accurately prepare for dispatching production tasks, more reasonably allocate site resources and further help a power grid to consume more wind power.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a standard state partitioning method based on wind farm data according to an embodiment of the present invention;
FIG. 2 is a calculation flow chart of a standard state partitioning method based on wind farm data according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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.
The invention aims to provide a standard state dividing method and device based on wind farm data, which aim at the dynamic change characteristics of wind turbine generator sets, and divide and classify the states of the wind turbine generator sets in detail according to actual service requirements.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
As shown in fig. 1, a standard state division method based on wind farm data includes the following steps:
step 101: and collecting data information of wind power plant production equipment according to a communication protocol.
Step 102: and carrying out real-time and transaction real-time association processing on the data information to obtain real-time data.
Step 103: and carrying out standard state calculation on the real-time data to obtain the standard state of the wind power plant unit.
Step 104: and judging the 16 standard states of the actual running of the fans according to the standard states of the wind power plant units. The 16 standard states of actual operation comprise a power grid affected state, an in-field affected state, a communication interruption state, a normal power generation state, a power limiting power generation state, a power generation state with defects, a power limiting maintenance state, a fault maintenance state, a pre-maintenance state, a fixed maintenance state, an environment affected state, a fault shutdown state, a power limiting shutdown state, a manual shutdown state, a wind waiting state and other states.
Step 104 specifically includes:
the main control of the fan is reset and started, and the fan enters a normal running state when no fault or manual operation action is confirmed through a self-checking process:
when the ring network data link has a problem, the data return link is interrupted, and the data is not refreshed or has communication faults.
Power grid affected state: judging the state of a breaker of a wind power plant outgoing line, and if the state of the breaker is in a closing position, entering a power grid affected state due to the power grid affected state.
In-field affected state: when the circuit breaker is in an off state and the fan goes out of the on-site affected state alarm association point is set, and the fan enters the on-site affected state.
Communication interruption state: if the power grid is not in the affected state, the communication is interrupted.
When the wind speed condition is met, the fan is in a fault-free and manual intervention-free state, the fan enters a preparation work before starting grid connection, if the power generation condition is met, the fan enters a power generation grid connection stage, and after the grid connection is successful, the fan enters the power generation stage.
Normal power generation: the actual power is greater than or equal to 80% of theoretical power, and no limit electric mark is set.
Electricity limiting power generation: the limited power flag is set.
Generating electricity with defects: the actual power is less than 80% of theoretical power, and the limited power flag is set.
When the fan is manually operated and maintained or fails, the fan enters a shutdown stage.
Electricity limiting maintenance state: the maintenance flag is set and the limit flag is set.
Fault maintenance state: the identity set and fault code set are maintained.
Pre-maintenance state: the maintenance flag is set and the last state is a failed shutdown state.
And (5) checking maintenance state: manual entry (manual intervention).
Environmental involvement status: the maintenance flag is not set and the fault code is not set and the environmental status warning is set.
And (3) a fault shutdown state: the maintenance flag is not set and a fault code occurs.
Limit power down state: the maintenance flag is unset and a fault code is present and the limit flag is set.
Manual shutdown state: the maintenance flag is not set and no fault code occurs.
When the fan is in a low wind speed, the fan is in a fault-free and manual intervention-free state, and the fan is in a wind waiting state.
And (5) waiting for wind: the wind is not shut down and the wind speed does not meet the start-up conditions.
Other states: the above state does not occur.
The specific calculation flow is shown in fig. 2:
1. if the standard state is communication interruption (cmpt_standard state= 6), entering the affected relevant state judgment calculation, checking a single signal of a data sending-out line (cmpt_scx) of the booster station, and if the combined signal (cmpt_scx= 1) is displayed, judging that the power grid is affected. If the composite signal (cmpt_scx= 1) is displayed, it is determined that the grid is affected. Otherwise, the intra-field affected state (error_cnsl) signal is read, and if the intra-field affected signal (error_cnsl= 1) is in the bit, it is determined that the intra-field is affected. If the intra-field affected signal (error_cnsl= 0) is bit-divided, it is determined that the communication is interrupted.
2. The Power generation related state judgment calculation is entered if the standard state is the running Power generation state (cmpt_standard state= =1), and the normal Power generation is judged if the normal Power generation alarM (cmpt_power_alarm= 1) occurs. Otherwise, the power generation is judged in a power limiting mode or in a power generation mode with defects. If the stand-alone power limit signal (dj_xingonglv= 1), the power generation state is limited. If the single power limit signal (dj_xianginglv= 0), then the power generation state is a defective.
3. If the standard state is other state (cmpt_standard state= =5), it is determined whether the standard state is maintenance state (cmpt_standard state= =5), and if the single power limit signal (dj_xingonglv= 1) is present, the power generation state is limited. If the signal is the simultaneous single power limit signal (dj_xingonglv= 0), judging whether the last state is a fault shutdown state (status_last= 9), if the signal is the fault shutdown state, judging the state as a fault maintenance state, and if the signal is the fault shutdown state, judging the state as a pre-maintenance state.
4. If the standard state is other state (cmpt_standard state= 3, 4), judging whether the fan has fault code (Error 1-8>0& running state code > 21), if yes, judging the fault shutdown state.
If no fault code occurs and the environmental factor (error_hjsl= 1) is in the same position, the environmental affected state is judged.
If no fault code occurs and the environmental factor (error_hjsl= 0) is in bit and the single power limit signal (dj_xingonglv= 1) is in bit, then the power down state is determined.
If no fault code occurs and the environmental factor (error_hjsl= 0) is in the bit, and the single power limit signal (dj_xingonglv= 0) is in the bit, then the manual shutdown state is determined.
5. If the standard state is the other state (cmpt_standard status= =2), and the previous state is the maintenance in advance (status_last= =10), the fault maintenance (status_last= =9), the checkmaintenance (status_last= 11), the limit maintenance (status_last= 8), the fault shutdown (status_last= 6), the limit shutdown (status_last= 5), the manual shutdown (status_last= 7), the last state is kept. Otherwise, judging the standby state.
The fan 16 state division based on the wind farm full-field data can effectively convert the operation data into application data corresponding to actual service, so that the application value of the data is greatly improved, the wind farm service efficiency is high, and the state is accurate.
The original master control PLC state of the wind power plant fan is thinned in the 16 standard state, the state standard diversification of each fan host factory is eliminated, and the technology is specialized. The running mode of the unit is visually expressed in the station monitoring process, and the 16 standard state subdivides the running power generation state of the original host manufacturer into a normal power generation state, a power generation state with defects and a power limiting power generation state. The maintenance state of a host manufacturer is divided into pre-maintenance, fault maintenance and fixed inspection maintenance. The state of the fan can be more intuitively consulted, the abnormal generator set can be found in real time, the actual production service scene of the related fan can be directly positioned in the 16 standard state, the subsequent production task is directly An Paiyun-dimensional through the state judgment result, the time for checking the associated data and confirming the production service connection is saved, the working service efficiency and the station wind resource availability are improved, and the station benefit is increased.
After the 16 standard states are refined, the wind farm data information flows can be classified according to the states, and more accurate unit states are provided for the subsequent data application to calculate wind farm losses, report calculation and other services.
The invention also provides a standard state dividing device based on wind farm data, which comprises: the system comprises a front acquisition server, a real-time library server and a calculation server which are connected in sequence.
The front acquisition server acquires equipment real-time information (fan data, booster station data and manual input data) according to a related communication protocol, and the related equipment name is renamed according to a standard tag point of a computing platform and is output to the real-time server.
The real-time server carries out real-time and transaction real-time association processing on the data according to the time sequence, and provides a real-time data calculation source;
the calculation server is used for carrying out standard state calculation on the real-time data to obtain a standard state of the wind turbine generator set; and judging the 16 standard states of the actual running of the fans according to the standard states of the wind power plant units.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (2)
1. The standard state dividing method based on the wind farm data is characterized by comprising the following steps of:
collecting data information of wind power plant production equipment according to a communication protocol;
carrying out real-time and transaction real-time association processing on the data information to obtain real-time data;
carrying out standard state calculation on the real-time data to obtain a standard state of the wind power plant unit;
judging the 16 standard states of the actual running of the fans according to the standard states of the wind power plant units; the 16 standard states of actual operation comprise a power grid affected state, an in-field affected state, a communication interruption state, a normal power generation state, a power limiting power generation state, a power generation state with defects, a power limiting maintenance state, a fault maintenance state, a pre-maintenance state, a fixed maintenance state, an environment affected state, a fault shutdown state, a power limiting shutdown state, a manual shutdown state, a wind waiting state and other states;
the method for judging the 16 standard states of the actual running of the fan according to the standard states of the wind power plant unit specifically comprises the following steps:
judging whether the standard state of the wind power plant unit belongs to communication interruption or not;
if the judging result shows that the standard state of the wind power plant unit belongs to communication interruption, entering the judging calculation of the affected relevant state, checking a single-machine signal of a data sending line of a booster station, if a combined bit signal CMPT_Scx= 1 is displayed, judging the affected state of a power grid, otherwise, reading an in-field affected state signal error_cnsl, if the combined bit of the in-field affected signal error_cnsl= 1, judging the in-field affected state, and if the combined bit of the in-field affected signal error_cnsl= 0, judging the communication interruption state;
judging whether the standard state of the wind power plant unit belongs to an operation power generation state or not;
if the judging result shows that the standard state belongs to an operation Power generation state, entering Power generation related state judging calculation, if a normal Power generation alarM CMPT_power_alarm= 1 appears, judging the normal Power generation state, otherwise, entering a Power limiting Power generation state or a Power generation state with defects, if a single Power limiting signal dj_xiangong lv= 1, defining the Power generation state, and if a single Power limiting signal dj_xiangong lv= 0, defining the Power generation state with defects;
judging whether the standard state of the wind power plant unit belongs to other states or not;
if the judging result shows that the standard state of the wind power plant unit belongs to other states, judging whether the standard state of the wind power plant unit belongs to a maintenance state CMPT_Standard State= 5, and if the single-machine power limit signal dj_xingonglv= 1, limiting the power generation state; if the signal is the simultaneous single-machine power limit signal dj_xingonglv= 0, judging whether the last state is a fault shutdown state, if so, judging that the state is a fault maintenance state, and if not, judging that the state is a pre-maintenance state;
if the judging result shows that the standard state of the wind power plant unit belongs to other states CMPT_Standard states= 3 and 4, judging whether a fan has a fault code, if so, judging a fault shutdown state, and if not, judging an environment affected state; if no fault code occurs and the environmental factor bit error_hjsl= =0 and the single power limit signal combination bit dj_xingonglv= 1, judging as a power limit stop state; if no fault code occurs and the environmental factor bit error_hjsl= 0 and the single-machine limited power signal bit dj_xingonglv= 0, judging that the system is in a manual shutdown state;
if the judging result indicates that the standard state of the wind farm unit belongs to other states cmpt_standard states= 2, and the previous state is the previous state maintenance state_last= 10, fault maintenance state_last= 9, fixed maintenance state_last= 11, limit maintenance state_last= 8, fault shutdown state_last= 6, limit shutdown state_last= 5 and manual shutdown state_last= 7, the last state is kept, otherwise, the standby state is judged.
2. A standard state partitioning device based on wind farm data, comprising: the system comprises a front acquisition server, a real-time server and a calculation server which are connected in sequence;
the front acquisition server is used for acquiring data information of wind power plant production equipment according to a communication protocol and outputting the data information to the real-time server;
the real-time server is used for carrying out real-time and transaction real-time association processing on the data information to obtain real-time data;
the calculation server is used for carrying out standard state calculation on the real-time data to obtain a standard state of the wind turbine generator set; judging the 16 standard states of the actual running of the fans according to the standard states of the wind power plant units; the 16 standard states of actual operation comprise a power grid affected state, an in-field affected state, a communication interruption state, a normal power generation state, a power limiting power generation state, a power generation state with defects, a power limiting maintenance state, a fault maintenance state, a pre-maintenance state, a fixed maintenance state, an environment affected state, a fault shutdown state, a power limiting shutdown state, a manual shutdown state, a wind waiting state and other states;
the method for judging the 16 standard states of the actual running of the fan according to the standard states of the wind power plant unit specifically comprises the following steps:
the method for judging the 16 standard states of the actual running of the fan according to the standard states of the wind power plant unit specifically comprises the following steps:
judging whether the standard state of the wind power plant unit belongs to communication interruption or not;
if the judging result shows that the standard state of the wind power plant unit belongs to communication interruption, entering the judging calculation of the affected relevant state, checking a single-machine signal of a data sending line of a booster station, if a combined bit signal CMPT_Scx= 1 is displayed, judging the affected state of a power grid, otherwise, reading an in-field affected state signal error_cnsl, if the combined bit of the in-field affected signal error_cnsl= 1, judging the in-field affected state, and if the combined bit of the in-field affected signal error_cnsl= 0, judging the communication interruption state;
judging whether the standard state of the wind power plant unit belongs to an operation power generation state or not;
if the judging result shows that the standard state belongs to an operation Power generation state, entering Power generation related state judging calculation, if a normal Power generation alarM CMPT_power_alarm= 1 appears, judging the normal Power generation state, otherwise, entering a Power limiting Power generation state or a Power generation state with defects, if a single Power limiting signal dj_xiangong lv= 1, defining the Power generation state, and if a single Power limiting signal dj_xiangong lv= 0, defining the Power generation state with defects;
judging whether the standard state of the wind power plant unit belongs to other states or not;
if the judging result shows that the standard state of the wind power plant unit belongs to other states, judging whether the standard state of the wind power plant unit belongs to a maintenance state CMPT_Standard State= 5, and if the single-machine power limit signal dj_xingonglv= 1, limiting the power generation state; if the signal is the simultaneous single-machine power limit signal dj_xingonglv= 0, judging whether the last state is a fault shutdown state, if so, judging that the state is a fault maintenance state, and if not, judging that the state is a pre-maintenance state;
if the judging result shows that the standard state of the wind power plant unit belongs to other states CMPT_Standard states= 3 and 4, judging whether a fan has a fault code, if so, judging a fault shutdown state, and if not, judging an environment affected state; if no fault code occurs and the environmental factor bit error_hjsl= =0 and the single power limit signal combination bit dj_xingonglv= 1, judging as a power limit stop state; if no fault code occurs and the environmental factor bit error_hjsl= 0 and the single-machine limited power signal bit dj_xingonglv= 0, judging that the system is in a manual shutdown state;
if the judging result indicates that the standard state of the wind farm unit belongs to other states cmpt_standard states= 2, and the previous state is the previous state maintenance state_last= 10, fault maintenance state_last= 9, fixed maintenance state_last= 11, limit maintenance state_last= 8, fault shutdown state_last= 6, limit shutdown state_last= 5 and manual shutdown state_last= 7, the last state is kept, otherwise, the standby state is judged.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102235941A (en) * | 2010-04-29 | 2011-11-09 | 上海瑞视仪表电子有限公司 | State monitoring and failure diagnosing system for wind power generation units |
| CN104318111A (en) * | 2014-10-29 | 2015-01-28 | 中电国际新能源控股有限公司 | Online static security assessment and early warning method for wind farm |
| CN107633306A (en) * | 2017-07-31 | 2018-01-26 | 南京求精机械厂 | A kind of wind-powered electricity generation operation maintenance system and maintaining method |
| WO2018059096A1 (en) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | Combined decision method for power generation plans of multiple power sources, and storage medium |
| CN109639483A (en) * | 2018-12-12 | 2019-04-16 | 明阳智慧能源集团股份公司 | A kind of wind power generating set data interchange shared platform and its fault ride-through method |
| CN109885019A (en) * | 2019-01-25 | 2019-06-14 | 湖南大唐先一科技有限公司 | A kind of fan condition automatic judging method |
| KR102008472B1 (en) * | 2018-12-19 | 2019-08-07 | (주)대신피아이씨 | Real Time Remote Management and Alarm Call out System of Electrical Consumers Type based on IoT |
-
2020
- 2020-09-18 CN CN202010986570.8A patent/CN112101799B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102235941A (en) * | 2010-04-29 | 2011-11-09 | 上海瑞视仪表电子有限公司 | State monitoring and failure diagnosing system for wind power generation units |
| CN104318111A (en) * | 2014-10-29 | 2015-01-28 | 中电国际新能源控股有限公司 | Online static security assessment and early warning method for wind farm |
| WO2018059096A1 (en) * | 2016-09-30 | 2018-04-05 | 国电南瑞科技股份有限公司 | Combined decision method for power generation plans of multiple power sources, and storage medium |
| CN107633306A (en) * | 2017-07-31 | 2018-01-26 | 南京求精机械厂 | A kind of wind-powered electricity generation operation maintenance system and maintaining method |
| CN109639483A (en) * | 2018-12-12 | 2019-04-16 | 明阳智慧能源集团股份公司 | A kind of wind power generating set data interchange shared platform and its fault ride-through method |
| KR102008472B1 (en) * | 2018-12-19 | 2019-08-07 | (주)대신피아이씨 | Real Time Remote Management and Alarm Call out System of Electrical Consumers Type based on IoT |
| CN109885019A (en) * | 2019-01-25 | 2019-06-14 | 湖南大唐先一科技有限公司 | A kind of fan condition automatic judging method |
Non-Patent Citations (1)
| Title |
|---|
| 基于ARM的风电故障远程监控系统设计与实现;张根宝;王志恒;;工业控制计算机(第11期);全文 * |
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