CN103218464A - Wind turbine generator state-based wind turbine generator data storage method and system - Google Patents
Wind turbine generator state-based wind turbine generator data storage method and system Download PDFInfo
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- CN103218464A CN103218464A CN2013100954354A CN201310095435A CN103218464A CN 103218464 A CN103218464 A CN 103218464A CN 2013100954354 A CN2013100954354 A CN 2013100954354A CN 201310095435 A CN201310095435 A CN 201310095435A CN 103218464 A CN103218464 A CN 103218464A
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Abstract
The invention provides a wind turbine generator state-based wind turbine generator data storage method and a wind turbine generator state-based wind turbine generator data storage system. The method comprises the following steps of 1, acquiring the current real-time operating data of a wind turbine generator, judging whether the current wind turbine generator is operated normally, if the current wind turbine generator is operated normally, turning to the step 2, and if the current wind turbine generator is operated abnormally, turning to the step 3; 2, respectively comparing the real-time state data of each preset monitoring point with the pre-stored operating data in a normal state, if the difference value between the real-time state data of each preset monitoring point and the operating data in the normal state exceeds a preset threshold value, storing the data and ending the step; and 3, acquiring the current real-time operating data of the wind turbine generator according to the preset frequency, and storing all data. According to the embodiment of the invention, the real-time operating data of the wind turbine generator and the data of an equipment vibration state monitoring system are stored highly precisely for a long time according to the real-time state of the wind turbine generator.
Description
Technical field
The present invention relates to technical field of data processing, particularly a kind of wind-powered electricity generation unit date storage method and system based on the wind-powered electricity generation set state.
Background technology
Along with the exhaustion day by day of the energy and increasingly sharpening of polluting, regenerative resource and clean energy resource more and more come into one's own.Wind power generation or claim that wind-power electricity generation is a kind of regenerative resource of cleaning, and the operating cost of wind-force unit is low, so the wind power technology equipment is the important component part of wind-powered electricity generation industry also is the basis of wind-powered electricity generation industry development and ensure.
Though wind-powered electricity generation has cleaning, renewable, low cost and other advantages, need be arranged in defectives such as field but have equally to geography requirement height, equipment, therefore how the data of wind power equipment being collected and handled is the basis of automatic management, data monitoring.Because the equipment of wind-powered electricity generation unit is very complicated, if so want all status datas of real time record wind-powered electricity generation unit to need a large amount of memory devices in the prior art, cause the operating cost of wind-powered electricity generation unit sharply to increase.
Summary of the invention
The technical problem to be solved in the present invention be the present invention propose a kind of more reliably and more economical wind-powered electricity generation unit date storage method and system based on the wind-powered electricity generation set state.
In order to solve the problems of the technologies described above, embodiments of the invention provide a kind of wind-powered electricity generation unit date storage method based on the wind-powered electricity generation set state, comprising:
Step 1, obtain the current real-time running data of wind-powered electricity generation unit, judge whether current wind-powered electricity generation unit operation is normal, if then jump to step 2; If otherwise jump to step 3;
Preferred as technique scheme, described step 1 specifically comprises:
Step 11, generate a plurality of normal condition models and the abnormality model of wind-powered electricity generation unit according to wind-powered electricity generation unit history data;
Step 12, obtain the real-time running data of described wind-powered electricity generation unit, the real-time running data of described wind-powered electricity generation unit and described normal condition model and abnormality model are compared, with determine with the highest model of described real-time running data similarity to determine whether current running status normal.
Preferred as technique scheme, described step 11 specifically comprises:
Step 111, obtain the historic state parameter of each default monitoring point of described wind-powered electricity generation unit at a plurality of identical particular point in times, and the running status of each particular point in time;
Step 112, at each default monitoring point, generate the state parameter set that the state parameter of described particular point in time forms;
Step 113, with normal condition model and/or the abnormality model of the state parameter of all default monitoring points set as described wind-powered electricity generation unit.
Preferred as technique scheme, described step 2 specifically comprises:
Step 21, obtain the normal condition model of described wind-powered electricity generation unit; Determine the safe datum line of each default monitoring point according to the normal condition model;
Step 22, the real-time running data and the described safe datum line of described wind-powered electricity generation unit compared,, then these data are stored if surpass predetermined threshold value with the difference of described safe datum line; If do not surpass predetermined threshold value with the difference of described safe datum line, then ignore these data.
In order to solve the problems of the technologies described above, the embodiment of the invention has also proposed a kind of wind-powered electricity generation unit data-storage system based on the wind-powered electricity generation set state, comprising:
Condition judgment module is used to obtain the current real-time running data of wind-powered electricity generation unit, judges whether current wind-powered electricity generation unit operation is normal;
The normal condition processing module is used for the real-time status data of each default monitoring point are compared with the service data of the normal condition of pre-stored respectively, if surpass predetermined threshold value with the difference of the service data of described normal condition, then these data is stored;
The abnormality processing module is used for obtaining the current real-time running data of wind-powered electricity generation unit according to predeterminated frequency, and all data is stored.
Preferred as technique scheme, described condition judgment module specifically comprises:
The model generation unit is used for a plurality of normal condition models and abnormality model according to wind-powered electricity generation unit history data generation wind-powered electricity generation unit;
The contrast unit, be used to obtain the real-time running data of described wind-powered electricity generation unit, the real-time running data of described wind-powered electricity generation unit and described normal condition model and abnormality model are compared, with determine with the highest model of described real-time running data similarity to determine whether current running status normal.
Preferred as technique scheme, described model generation unit specifically comprises:
Data are obtained subelement, are used to obtain the historic state parameter of each default monitoring point of described wind-powered electricity generation unit at a plurality of identical particular point in times, and the running status of each particular point in time;
The parameter sets subelement is used at each default monitoring point, generates the state parameter set of the state parameter formation of described particular point in time;
Generate subelement, be used for the state parameter set of all default monitoring points normal condition model and/or abnormality model as described wind-powered electricity generation unit.
Preferred as technique scheme, described normal condition processing module specifically comprises:
Safe datum line generation unit is used to obtain the normal condition model of described wind-powered electricity generation unit; Determine the safe datum line of each default monitoring point according to the normal condition model;
Data processing unit is used for the real-time running data and the described safe datum line of described wind-powered electricity generation unit are compared, if surpass predetermined threshold value with the difference of described safe datum line, then these data is stored; If do not surpass predetermined threshold value with the difference of described safe datum line, then ignore these data.
The beneficial effect of technique scheme of the present invention is as follows:
The embodiment of the invention comes the real-time running data of wind-powered electricity generation unit and the data of vibration equipment condition monitoring system are carried out long-term high-precision storage according to the real-time status of wind-powered electricity generation unit.When the state of wind-powered electricity generation unit is in just often, system adopts the exception mode to store (promptly to deviation range of each measuring point definition, when measuring point data was in deviation range, then system did not store data) from the data of wind-powered electricity generation unit.When the wind-powered electricity generation set state is in when unusual, system then closes the deviation setting, carries out data storage according to the sweep frequency of definition, guarantees data precision.Adopt the embodiment of the invention can save the mass data storage space on the one hand, greatly improve storage efficiency, also can guarantee the data acquisition storage precision when unit is unusual simultaneously.
Description of drawings
Fig. 1 is the schematic flow sheet based on the wind-powered electricity generation unit driving unit fault recognition methods of fault data of the embodiment of the invention;
Fig. 2 is the structural representation based on the wind-powered electricity generation unit driving unit fault recognition system of fault data of the embodiment of the invention.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearer, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
Embodiments of the invention provide a kind of wind-powered electricity generation unit date storage method based on the wind-powered electricity generation set state, and its flow process comprises as shown in Figure 1:
Step 1, obtain the current real-time running data of wind-powered electricity generation unit, judge whether current wind-powered electricity generation unit operation is normal, if then jump to step 2; If otherwise jump to step 3;
In the said method, be that employing is saved storage overhead according to the mode that the wind-powered electricity generation set state carries out data storage, improve the efficient of system, the storage that reduces gibberish is to save cost.Under normal condition, need not all data are all stored, and only store abnormal data.And the next employing certain frequency that needs of nonserviceabling obtains real-time running data, and described real-time running data is all stored, and analyzes so that carry out the back data.
Wherein, state how to judge the wind-powered electricity generation unit has important effect for how storing data.In one embodiment of the invention, determine by the following methods the duty of wind-powered electricity generation unit.Be that described step 1 specifically comprises:
Step 11, generate a plurality of normal condition models and the abnormality model of wind-powered electricity generation unit according to wind-powered electricity generation unit history data;
Step 12, obtain the real-time running data of described wind-powered electricity generation unit, the real-time running data of described wind-powered electricity generation unit and described normal condition model and abnormality model are compared, with determine with the highest model of described real-time running data similarity to determine whether current running status normal.
In the said method, adopt wind-powered electricity generation unit history data to generate a plurality of normal condition models and abnormality model.So only need the state of current real-time running data is carried out the similarity comparison with normal condition model and abnormality model, the state that similarity is the highest is current running status.Certainly, it will be understood by those skilled in the art that this method requires abundant historical data to generate normal condition model and the abnormality model with statistical significance.Wherein, the method that generates normal condition model and abnormality model can be as described below, and promptly described step 11 specifically comprises:
Step 111, obtain the historic state parameter of each default monitoring point of described wind-powered electricity generation unit at a plurality of identical particular point in times, and the running status of each particular point in time;
Step 112, at each default monitoring point, generate the state parameter set that the state parameter of described particular point in time forms;
Step 113, with normal condition model and/or the abnormality model of the state parameter of all default monitoring points set as described wind-powered electricity generation unit.
Simultaneously, in aforesaid method, can determine the state that the wind-powered electricity generation unit is current.Even but the current state that can determine the wind-powered electricity generation unit is a normal condition, can not guarantee that all operational factors under the normal condition all are normal.Therefore in embodiments of the present invention, each operational factor under the normal condition all need be compared with the safety datum line, store with the operational factor that will exceed safe datum line, the fault that may occur future is estimated and early warning by these parameters.Be that described step 2 specifically comprises:
Step 21, obtain the normal condition model of described wind-powered electricity generation unit; Determine the safe datum line of each default monitoring point according to the normal condition model;
Step 22, the real-time running data and the described safe datum line of described wind-powered electricity generation unit compared,, then these data are stored if surpass predetermined threshold value with the difference of described safe datum line; If do not surpass predetermined threshold value with the difference of described safe datum line, then ignore these data.
Simultaneously, the embodiment of the invention has also proposed a kind of wind-powered electricity generation unit data-storage system based on the wind-powered electricity generation set state, and its structure comprises as shown in Figure 2:
Condition judgment module is used to obtain the current real-time running data of wind-powered electricity generation unit, judges whether current wind-powered electricity generation unit operation is normal;
The normal condition processing module is used for the real-time status data of each default monitoring point are compared with the service data of the normal condition of pre-stored respectively, if surpass predetermined threshold value with the difference of the service data of described normal condition, then these data is stored;
The abnormality processing module is used for obtaining the current real-time running data of wind-powered electricity generation unit according to predeterminated frequency, and all data is stored.
Wherein, described condition judgment module specifically comprises:
The model generation unit is used for a plurality of normal condition models and abnormality model according to wind-powered electricity generation unit history data generation wind-powered electricity generation unit;
The contrast unit, be used to obtain the real-time running data of described wind-powered electricity generation unit, the real-time running data of described wind-powered electricity generation unit and described normal condition model and abnormality model are compared, with determine with the highest model of described real-time running data similarity to determine whether current running status normal.
Wherein, described model generation unit specifically comprises:
Data are obtained subelement, are used to obtain the historic state parameter of each default monitoring point of described wind-powered electricity generation unit at a plurality of identical particular point in times, and the running status of each particular point in time;
The parameter sets subelement is used at each default monitoring point, generates the state parameter set of the state parameter formation of described particular point in time;
Generate subelement, be used for the state parameter set of all default monitoring points normal condition model and/or abnormality model as described wind-powered electricity generation unit.
Wherein, described normal condition processing module specifically comprises:
Safe datum line generation unit is used to obtain the normal condition model of described wind-powered electricity generation unit; Determine the safe datum line of each default monitoring point according to the normal condition model;
Data processing unit is used for the real-time running data and the described safe datum line of described wind-powered electricity generation unit are compared, if surpass predetermined threshold value with the difference of described safe datum line, then these data is stored; If do not surpass predetermined threshold value with the difference of described safe datum line, then ignore these data.
The embodiment of the invention comes the real-time running data of wind-powered electricity generation unit and the data of vibration equipment condition monitoring system are carried out long-term high-precision storage according to the real-time status of wind-powered electricity generation unit.When the state of wind-powered electricity generation unit is in just often, system adopts the exception mode to store (promptly to deviation range of each measuring point definition, when measuring point data was in deviation range, then system did not store data) from the data of wind-powered electricity generation unit.When the wind-powered electricity generation set state is in when unusual, system then closes the deviation setting, carries out data storage according to the sweep frequency of definition, guarantees data precision.Adopt the embodiment of the invention can save the mass data storage space on the one hand, greatly improve storage efficiency, also can guarantee the data acquisition storage precision when unit is unusual simultaneously.
The above is a preferred implementation of the present invention; should be pointed out that for those skilled in the art, under the prerequisite that does not break away from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (8)
1. based on the wind-powered electricity generation unit date storage method of wind-powered electricity generation set state, it is characterized in that, comprising:
Step 1, obtain the current real-time running data of wind-powered electricity generation unit, judge whether current wind-powered electricity generation unit operation is normal, if then jump to step 2; If otherwise jump to step 3;
Step 2, the real-time status data of each default monitoring point are compared with the service data of the normal condition of pre-stored respectively, if surpass predetermined threshold value with the difference of the service data of described normal condition, then these data are stored, step finishes;
Step 3, obtain the current real-time running data of wind-powered electricity generation unit, and all data are stored according to predeterminated frequency.
2. the wind-powered electricity generation unit date storage method based on the wind-powered electricity generation set state according to claim 1 is characterized in that described step 1 specifically comprises:
Step 11, generate a plurality of normal condition models and the abnormality model of wind-powered electricity generation unit according to wind-powered electricity generation unit history data;
Step 12, obtain the real-time running data of described wind-powered electricity generation unit, the real-time running data of described wind-powered electricity generation unit and described normal condition model and abnormality model are compared, with determine with the highest model of described real-time running data similarity to determine whether current running status normal.
3. the wind-powered electricity generation unit date storage method based on the wind-powered electricity generation set state according to claim 2 is characterized in that described step 11 specifically comprises:
Step 111, obtain the historic state parameter of each default monitoring point of described wind-powered electricity generation unit at a plurality of identical particular point in times, and the running status of each particular point in time;
Step 112, at each default monitoring point, generate the state parameter set that the state parameter of described particular point in time forms;
Step 113, with normal condition model and/or the abnormality model of the state parameter of all default monitoring points set as described wind-powered electricity generation unit.
4. according to claim 2 or 3 described wind-powered electricity generation unit date storage methods, it is characterized in that described step 2 specifically comprises based on the wind-powered electricity generation set state:
Step 21, obtain the normal condition model of described wind-powered electricity generation unit; Determine the safe datum line of each default monitoring point according to the normal condition model;
Step 22, the real-time running data and the described safe datum line of described wind-powered electricity generation unit compared,, then these data are stored if surpass predetermined threshold value with the difference of described safe datum line; If do not surpass predetermined threshold value with the difference of described safe datum line, then ignore these data.
5. the wind-powered electricity generation unit data-storage system based on the wind-powered electricity generation set state is characterized in that, comprising:
Condition judgment module is used to obtain the current real-time running data of wind-powered electricity generation unit, judges whether current wind-powered electricity generation unit operation is normal;
The normal condition processing module is used for the real-time status data of each default monitoring point are compared with the service data of the normal condition of pre-stored respectively, if surpass predetermined threshold value with the difference of the service data of described normal condition, then these data is stored;
The abnormality processing module is used for obtaining the current real-time running data of wind-powered electricity generation unit according to predeterminated frequency, and all data is stored.
6. the wind-powered electricity generation unit data-storage system based on the wind-powered electricity generation set state according to claim 5 is characterized in that described condition judgment module specifically comprises:
The model generation unit is used for a plurality of normal condition models and abnormality model according to wind-powered electricity generation unit history data generation wind-powered electricity generation unit;
The contrast unit, be used to obtain the real-time running data of described wind-powered electricity generation unit, the real-time running data of described wind-powered electricity generation unit and described normal condition model and abnormality model are compared, with determine with the highest model of described real-time running data similarity to determine whether current running status normal.
7. the wind-powered electricity generation unit data-storage system based on the wind-powered electricity generation set state according to claim 6 is characterized in that described model generation unit specifically comprises:
Data are obtained subelement, are used to obtain the historic state parameter of each default monitoring point of described wind-powered electricity generation unit at a plurality of identical particular point in times, and the running status of each particular point in time;
The parameter sets subelement is used at each default monitoring point, generates the state parameter set of the state parameter formation of described particular point in time;
Generate subelement, be used for the state parameter set of all default monitoring points normal condition model and/or abnormality model as described wind-powered electricity generation unit.
8. according to claim 6 or 7 described wind-powered electricity generation unit data-storage systems, it is characterized in that described normal condition processing module specifically comprises based on the wind-powered electricity generation set state:
Safe datum line generation unit is used to obtain the normal condition model of described wind-powered electricity generation unit; Determine the safe datum line of each default monitoring point according to the normal condition model;
Data processing unit is used for the real-time running data and the described safe datum line of described wind-powered electricity generation unit are compared, if surpass predetermined threshold value with the difference of described safe datum line, then these data is stored; If do not surpass predetermined threshold value with the difference of described safe datum line, then ignore these data.
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| CN105651520A (en) * | 2016-03-01 | 2016-06-08 | 西安航空动力股份有限公司 | Positioning method for vibration fault of external accessory of aircraft engine |
| CN105795497A (en) * | 2016-04-11 | 2016-07-27 | 浙江中烟工业有限责任公司 | Data collecting method for improving fault analysis of cut-tobacco dryer |
| CN107463575A (en) * | 2016-06-06 | 2017-12-12 | 上海电气风电集团有限公司 | A kind of new Intelligent wind power historical data processing method and system |
| CN109308169A (en) * | 2018-08-24 | 2019-02-05 | 珠海格力电器股份有限公司 | Data storage method and device and air conditioner adopting same |
| CN110309885A (en) * | 2019-07-05 | 2019-10-08 | 黑龙江电力调度实业有限公司 | Computer room state judging method based on big data |
| CN112198818A (en) * | 2019-07-08 | 2021-01-08 | 浙江宇视科技有限公司 | Control method, device and equipment of stepping type driving structure and storage medium |
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| CN105548873A (en) * | 2015-12-09 | 2016-05-04 | 中国西电电气股份有限公司 | Method and system for achieving health diagnosis of switchgear in online monitoring device |
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| CN110309885A (en) * | 2019-07-05 | 2019-10-08 | 黑龙江电力调度实业有限公司 | Computer room state judging method based on big data |
| CN112198818A (en) * | 2019-07-08 | 2021-01-08 | 浙江宇视科技有限公司 | Control method, device and equipment of stepping type driving structure and storage medium |
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