CN116881241B - Safety management method and system applied to meteorological data - Google Patents
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Abstract
The invention relates to the technical field of meteorological data, in particular to a safety management method and system applied to meteorological data. Comprising the following steps: acquiring a plurality of multi-source meteorological data; extracting keywords from a plurality of multi-source meteorological data according to preset keywords, and carrying out partition processing; performing data inspection on the partitioned multi-source meteorological data, determining whether the multi-source meteorological data are abnormal or not, and adding an identification code value; dividing each meteorological data partition into a plurality of meteorological data storage subareas according to the identification code value; when multi-source meteorological data is queried, a plurality of meteorological data subareas are obtained according to the keywords, and sequential query result display is performed according to the priority of each meteorological data storage subarea in each meteorological data subarea. According to the method and the system, the accuracy of the data is calculated by combining the relevance between the data, so that the management accuracy of the meteorological data is improved, and the safety of the data is ensured by combining the safety inquiry management mode aiming at inquiry personnel.
Description
Technical Field
The invention relates to the technical field of meteorological data, in particular to a safety management method and system applied to meteorological data.
Background
The weather management work is mainly to manage and record various data of a weather station, such as factors of air temperature, air pressure, relative humidity and the like. The importance of the weather management work is represented by the following points, firstly, the data is an important basis for researching and predicting relatively extreme weather such as storm, hail, typhoon and the like, and secondly, the management of the weather data has a very large reference effect on construction related infrastructures, such as construction of large facilities such as railways, hydropower stations, aeronautical airports and the like, and the effective weather data needs to be held in time.
However, in the prior art, most weather information systems only use a single network, so that data are collected by a weather station and are scattered, effective association between the data cannot be realized, the problem of island effect of the data is caused, and certain inaccuracy exists between the data. Therefore, how to provide a safety management method and system for meteorological data is a technical problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a safety management method and a safety management system for meteorological data, wherein the data are subjected to regional management in a keyword extraction mode, the data accuracy calculation is carried out by combining the relevance between the data, the priority display is carried out on different data, the query performance of the meteorological data is improved, and the safety of the data is ensured by combining the safety query management mode for query personnel.
In order to achieve the above object, the present invention provides the following technical solutions:
a safety management method applied to meteorological data, comprising:
acquiring a plurality of multi-source meteorological data;
extracting keywords from the multiple-source meteorological data according to preset keywords, and partitioning the multiple-source meteorological data based on a preset time range according to extraction results to obtain multiple meteorological data partitions; wherein,
the preset keywords comprise air temperature, dew point temperature and relative humidity;
performing data inspection on the partitioned multi-source meteorological data, determining whether the multi-source meteorological data are abnormal, storing the multi-source meteorological data when the multi-source meteorological data are not abnormal, taking Y as an identification code value of the multi-source meteorological data, deleting the abnormal multi-source meteorological data when the multi-source meteorological data are abnormal, and taking N as the identification code value of the multi-source meteorological data when the multi-source meteorological data are not abnormal;
Dividing a plurality of multi-source meteorological data in each meteorological data partition into a plurality of meteorological data storage subareas according to the identification code value;
when inquiring the multi-source meteorological data, detecting keywords during inquiring, acquiring a plurality of meteorological data subareas according to the keywords, and displaying inquiry results in sequence according to the priority of each meteorological data storage subarea in each meteorological data subarea.
In some embodiments of the present application, determining whether each of the multi-source weather data is abnormal further comprises:
acquiring measurement intervals of weather element sensors corresponding to the multi-source weather data respectively, determining that the multi-source weather data are not abnormal when the multi-source weather data are in the measurement intervals of the weather element sensors, determining that the multi-source weather data are abnormal when the multi-source weather data are out of the measurement intervals of the weather element sensors, and deleting the multi-source weather data out of the measurement intervals of the weather element sensors;
acquiring climatic limit values corresponding to the multi-source meteorological data respectively, determining that the multi-source meteorological data are not abnormal when the multi-source meteorological data are smaller than or equal to the climatic limit values, determining that the multi-source meteorological data are abnormal when the multi-source meteorological data are larger than the climatic limit values, and deleting the multi-source meteorological data larger than the climatic limit values;
Acquiring a data change value of each multi-source meteorological data within 2 hours, determining that the multi-source meteorological data is abnormal when the change of each time period of the data change value within 2 hours is 0, and deleting the multi-source meteorological data of which the change of each time period within 2 hours is 0.
In some embodiments of the application, further comprising:
a first meteorological data storage subarea, a second meteorological data storage subarea and a third meteorological data storage subarea are preset, and the priority of the first meteorological data storage subarea is greater than that of the second meteorological data storage subarea and the priority of the third meteorological data storage subarea;
storing the multisource meteorological data with the identification code value of Y to the first meteorological data storage subarea;
calculating data correlation according to the dew point temperature, the air temperature and the relative humidity through a preset formula to obtain a predicted correlation value, obtaining a real-time observation value of the dew point temperature, taking the dew point temperature, the air temperature and the relative humidity as identification code values which cannot be used for determining whether abnormality exists or not when the absolute value of the difference between the real-time observation value of the dew point temperature and the predicted correlation value is larger than the absolute value of a preset standard difference value, taking N as the identification code values of the dew point temperature, the air temperature and the relative humidity, and storing the dew point temperature, the air temperature and the relative humidity into the third meteorological data storage subarea;
The preset formula is as follows:
；
wherein,
；
wherein T is d The dew point temperature, T is the air temperature, and V is the relative humidity;
based on the air temperature in a preset time range, acquiring an air temperature maximum value, an air temperature minimum value and an air temperature instantaneous value, and determining whether the air temperature maximum value, the air temperature minimum value and the air temperature instantaneous value meet a preset relationship, wherein the preset relationship is as follows: l is more than or equal to S is more than or equal to M; wherein,
l is the maximum value of air temperature, S is the instantaneous value of air temperature, and M is the minimum value of air temperature;
when a preset relation is met, the air temperature is saved to the second meteorological data storage subarea, and the air temperature in the third meteorological data storage subarea is deleted;
and when the preset relation is not met, storing the dew point temperature and the relative humidity into the second meteorological data storage subarea, and deleting the dew point temperature and the relative humidity in the third meteorological data storage subarea.
In some embodiments of the present application, when querying the multi-source weather data, the method further comprises:
acquiring historical query keywords of a query person, determining the query times of the historical query keywords, and displaying query results of the multi-source meteorological data according to the priority when m is larger than n and the first meteorological data storage subarea, the second meteorological data storage subarea and the third meteorological data storage subarea when m is smaller than or equal to n according to the query times n of the historical query keywords, which are the same as the keywords, of the historical query keywords and the historical query keywords m with the largest query times in the historical query keywords.
In some embodiments of the application, further comprising:
and when the historical query keywords which are the same as the keywords when the query personnel query are not present, the query result is not displayed.
In order to achieve the above object, the present application further provides a safety management system for meteorological data, which is applied to the safety management method for meteorological data, and includes:
the acquisition unit is used for acquiring a plurality of multi-source meteorological data;
the processing unit is used for extracting keywords from the multiple-source meteorological data according to preset keywords, and partitioning the multiple-source meteorological data based on a preset time range according to the extraction result to obtain multiple meteorological data partitions; wherein,
the preset keywords comprise air temperature, dew point temperature and relative humidity;
the detection unit is used for carrying out data inspection on the partitioned multi-source meteorological data, determining whether the multi-source meteorological data are abnormal, storing the multi-source meteorological data when the multi-source meteorological data are not abnormal, taking Y as an identification code value of the multi-source meteorological data, deleting the abnormal multi-source meteorological data when the multi-source meteorological data are abnormal, and taking N as the identification code value of the multi-source meteorological data when the multi-source meteorological data are not abnormal;
The partition unit is used for dividing the multiple source meteorological data in each meteorological data partition into multiple meteorological data storage sub-areas according to the identification code value;
and the management unit is used for detecting keywords during query when the multisource meteorological data are queried, acquiring a plurality of meteorological data subareas according to the keywords, and displaying sequentially query results according to the priority of each meteorological data storage subarea in each meteorological data subarea.
In some embodiments of the present application, the detection unit is further configured to obtain a measurement interval of a weather element sensor corresponding to each of the multi-source weather data, determine that the multi-source weather data is not abnormal when the multi-source weather data is within the measurement interval of the weather element sensor, determine that the multi-source weather data is abnormal when the multi-source weather data is outside the measurement interval of the weather element sensor, and delete the multi-source weather data outside the measurement interval of the weather element sensor;
the detection unit is further used for acquiring climatic limit values corresponding to the multi-source meteorological data respectively, determining that the multi-source meteorological data are not abnormal when the multi-source meteorological data are smaller than or equal to the climatic limit values, determining that the multi-source meteorological data are abnormal when the multi-source meteorological data are larger than the climatic limit values, and deleting the multi-source meteorological data larger than the climatic limit values;
The detection unit is further used for obtaining a data change value of each multi-source meteorological data within 2 hours, determining that the multi-source meteorological data is abnormal when the change of each period of the data change value within 2 hours is 0, and deleting the multi-source meteorological data of which the change of each period of the data change value within 2 hours is 0.
In some embodiments of the application, further comprising:
a first meteorological data storage subarea, a second meteorological data storage subarea and a third meteorological data storage subarea are preset in the subarea unit, and the priority of the first meteorological data storage subarea is higher than that of the second meteorological data storage subarea and higher than that of the third meteorological data storage subarea;
the partition unit is further configured to store the multisource meteorological data with the identification code value Y to the first meteorological data storage sub-area;
the partition unit is further configured to calculate a data correlation according to the dew point temperature, the air temperature and the relative humidity through a preset formula to obtain a predicted correlation value, obtain a real-time observed value of the dew point temperature, and store the dew point temperature, the air temperature and the relative humidity to the third weather data storage subarea as identification code values of the dew point temperature, the air temperature and the relative humidity when an absolute value of a difference between the real-time observed value of the dew point temperature and the predicted correlation value is greater than a preset standard difference absolute value;
The preset formula is as follows:
；
wherein,
；
wherein T is d The dew point temperature, T is the air temperature, and V is the relative humidity;
the partition unit is further configured to obtain an air temperature maximum value, an air temperature minimum value, and an air temperature instantaneous value based on the air temperature within a preset time range, and determine whether the air temperature maximum value, the air temperature minimum value, and the air temperature instantaneous value satisfy a preset relationship, where the preset relationship is: l is more than or equal to S is more than or equal to M; wherein,
l is the maximum value of air temperature, S is the instantaneous value of air temperature, and M is the minimum value of air temperature;
when a preset relation is met, the air temperature is saved to the second meteorological data storage subarea, and the air temperature in the third meteorological data storage subarea is deleted;
and when the preset relation is not met, storing the dew point temperature and the relative humidity into the second meteorological data storage subarea, and deleting the dew point temperature and the relative humidity in the third meteorological data storage subarea.
In some embodiments of the present application, the management unit is further configured to obtain a historical query keyword of a query person, determine a query number of times of each of the historical query keywords, and display a query result of each of the multi-source weather data according to a priority when m > n, according to a query number n of times of the query of the historical query keyword, which is the same as the keyword, of the keyword when the query person queries, and the historical query keyword m, which is the greatest in the historical query keyword.
In some embodiments of the present application, the management unit is further configured to, when the historical query keyword that is the same as the keyword when the querier queries does not exist, not display a query result.
The application provides a safety management method and a safety management system applied to meteorological data, which have the beneficial effects that compared with the prior art:
according to the application, the received collected data is analyzed in a data quality detection mode, whether the data meets a certain standard requirement is checked, so that abnormal data in the collected data is found and removed in time, the meteorological data is more accurate, a series of problems caused by data errors are prevented, priority display is carried out on the data with different accuracies, the high efficiency in the data query process is improved, the personalized detection mode for query personnel is combined in the query process, the safety of data management is improved, and the condition of data leakage is prevented.
Drawings
FIG. 1 is a flow chart of a method of safety management for meteorological data according to an embodiment of the present application;
FIG. 2 is a functional block diagram of a safety management system for weather data in accordance with an embodiment of the present application.
Detailed Description
The following describes in further detail the embodiments of the present application with reference to the drawings and examples. The following examples are illustrative of the application and are not intended to limit the scope of the application.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be the communication between the inner sides of the two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1, the disclosed embodiment of the application provides a safety management method applied to meteorological data, which comprises the following steps:
s101: acquiring a plurality of multi-source meteorological data;
s102: extracting keywords from a plurality of multi-source meteorological data according to preset keywords, and partitioning the plurality of multi-source meteorological data based on a preset time range according to an extraction result to obtain a plurality of meteorological data partitions; wherein,
the preset keywords comprise air temperature, dew point temperature and relative humidity;
s103: checking the data of each multi-source meteorological data after zoning, determining whether each multi-source meteorological data is abnormal, storing the multi-source meteorological data when the multi-source meteorological data is not abnormal, taking Y as an identification code value of the multi-source meteorological data, deleting the abnormal multi-source meteorological data when the multi-source meteorological data is abnormal, and taking N as the identification code value of the multi-source meteorological data when the multi-source meteorological data is not abnormal;
S104: dividing a plurality of multi-source meteorological data in each meteorological data partition into a plurality of meteorological data storage sub-areas according to the identification code value;
s105: when multi-source meteorological data is queried, keywords during query are detected, a plurality of meteorological data partitions are obtained according to the keywords, and sequential query result display is performed according to the priority of each meteorological data storage sub-region in each meteorological data partition.
It will be appreciated that: in order to better provide meteorological data support, provide guarantee for living generation, change the traditional centralized data storage mode, optimize through adopting zoning processing, combine the obvious timeliness characteristic that meteorological data has, zon according to the time range, and classify through the keyword extraction mode, can effectively improve the inquiry performance of data.
In a specific embodiment of the present application, when determining whether each multi-source weather data has an anomaly, the method further includes:
acquiring measurement intervals of weather element sensors corresponding to the multi-source weather data respectively, determining that the multi-source weather data are not abnormal when the multi-source weather data are in the measurement intervals of the weather element sensors, determining that the multi-source weather data are abnormal when the multi-source weather data are out of the measurement intervals of the weather element sensors, and deleting the multi-source weather data out of the measurement intervals of the weather element sensors;
Acquiring climatic limit values corresponding to the multi-source meteorological data respectively, determining that the multi-source meteorological data are not abnormal when the multi-source meteorological data are smaller than or equal to the climatic limit values, determining that the multi-source meteorological data are abnormal when the multi-source meteorological data are larger than the climatic limit values, and deleting the multi-source meteorological data larger than the climatic limit values;
and acquiring a data change value of each multi-source meteorological data within 2 hours, determining that the multi-source meteorological data is abnormal when the change of each time period of the data change value within 2 hours is 0, and deleting the multi-source meteorological data of which the change of each time period within 2 hours is 0.
It can be understood that during the process of collecting, transmitting and analyzing the meteorological data, due to the influence of communication or data acquisition environment, the phenomenon of data error may occur, if the data cannot be found and processed in time, the accuracy and the continuity of the meteorological data are reduced, and in order to improve the quality of the observed data, the accuracy of the meteorological data is improved by adopting the method of detecting the relativity among the data and checking the abnormal data.
In a specific embodiment of the present application, further comprising:
the method comprises the steps that a first meteorological data storage subarea, a second meteorological data storage subarea and a third meteorological data storage subarea are preset, and the priority of the first meteorological data storage subarea is greater than that of the second meteorological data storage subarea and the priority of the third meteorological data storage subarea;
Storing the multisource meteorological data with the identification code value of Y to a first meteorological data storage subarea;
calculating data relativity according to the dew point temperature, the air temperature and the relative humidity through a preset formula to obtain a predicted relativity value, acquiring a real-time observation value of the dew point temperature, taking the dew point temperature, the air temperature and the relative humidity as identification code values which cannot be used for determining whether abnormality exists or not when the absolute value of the difference between the real-time observation value of the dew point temperature and the predicted relativity value is larger than the absolute value of a preset standard difference value, taking N as the identification code values of the dew point temperature, the air temperature and the relative humidity, and storing the dew point temperature, the air temperature and the relative humidity into a third meteorological data storage subarea;
the preset formula is:
；
wherein,
；
wherein T is d The dew point temperature, T is the air temperature, and V is the relative humidity;
based on the air temperature in the preset time range, acquiring an air temperature maximum value, an air temperature minimum value and an air temperature instantaneous value, and determining whether the air temperature maximum value, the air temperature minimum value and the air temperature instantaneous value meet a preset relation, wherein the preset relation is as follows: l is more than or equal to S is more than or equal to M; wherein,
l is the maximum value of air temperature, S is the instantaneous value of air temperature, and M is the minimum value of air temperature;
when the preset relation is met, saving the air temperature to the second meteorological data storage subarea, and deleting the air temperature in the third meteorological data storage subarea;
And when the preset relation is not met, storing the dew point temperature and the relative humidity into the second meteorological data storage subarea, and deleting the dew point temperature and the relative humidity in the third meteorological data storage subarea.
It can be understood that the influence of abnormal data on production and life during inquiry can be effectively reduced by dividing the subareas with different priorities according to the accuracy of different meteorological data.
In a specific embodiment of the present application, when querying the multi-source weather data, the method further comprises:
acquiring historical query keywords of a query person, determining the query times of the historical query keywords, and displaying query results of the multi-source meteorological data according to the priority when m is more than n and the first meteorological data storage subarea, the second meteorological data storage subarea and the third meteorological data storage subarea when m is less than or equal to n according to the query times n of the historical query keywords, which are the same as the keywords, of the historical query keywords and the historical query keywords m with the largest query times in the historical query keywords.
In a specific embodiment of the present application, further comprising:
when there is no historical query keyword identical to the keyword of the query by the query person, the query result is not displayed.
Based on the same technical concept, referring to fig. 2, the present application further provides a safety management system applied to meteorological data, and the safety management method applied to meteorological data includes:
the acquisition unit is used for acquiring a plurality of multi-source meteorological data;
the processing unit is used for extracting keywords from the multiple-source meteorological data according to preset keywords, and partitioning the multiple-source meteorological data based on a preset time range according to the extraction result to obtain multiple meteorological data partitions; wherein,
the preset keywords comprise air temperature, dew point temperature and relative humidity;
the detection unit is used for carrying out data inspection on each multi-source meteorological data after zoning, determining whether each multi-source meteorological data is abnormal, storing the multi-source meteorological data when the multi-source meteorological data is not abnormal, taking Y as an identification code value of the multi-source meteorological data, deleting the abnormal multi-source meteorological data when the multi-source meteorological data is abnormal, and taking N as the identification code value of the multi-source meteorological data when the multi-source meteorological data is not abnormal;
The partitioning unit is used for dividing a plurality of multi-source meteorological data in each meteorological data partition into a plurality of meteorological data storage sub-areas according to the identification code value;
and the management unit is used for detecting keywords during inquiry when the multi-source meteorological data are inquired, acquiring a plurality of meteorological data subareas according to the keywords, and displaying inquiry results in sequence according to the priority of each meteorological data storage subarea in each meteorological data subarea.
It will be appreciated that: in order to better provide meteorological data support, provide guarantee for living generation, change the traditional centralized data storage mode, optimize through adopting zoning processing, combine the obvious timeliness characteristic that meteorological data has, zon according to the time range, and classify through the keyword extraction mode, can effectively improve the inquiry performance of data.
In a specific embodiment of the present application, the detection unit is further configured to obtain measurement intervals of the meteorological element sensors corresponding to the multi-source meteorological data, determine that the multi-source meteorological data has no abnormality when the multi-source meteorological data is located in the measurement interval of the meteorological element sensors, determine that the multi-source meteorological data has abnormality when the multi-source meteorological data is located outside the measurement interval of the meteorological element sensors, and delete the multi-source meteorological data located outside the measurement interval of the meteorological element sensors;
The detection unit is also used for acquiring the climatic limit value corresponding to each multi-source meteorological data respectively, determining that the multi-source meteorological data are not abnormal when the multi-source meteorological data are smaller than or equal to the climatic limit value, determining that the multi-source meteorological data are abnormal when the multi-source meteorological data are larger than the climatic limit value, and deleting the multi-source meteorological data larger than the climatic limit value;
the detection unit is also used for acquiring the data change value of each multi-source meteorological data within 2 hours, determining that the multi-source meteorological data has abnormality when the change of each time period of the data change value within 2 hours is 0, and deleting the multi-source meteorological data of which the change of each time period within 2 hours is 0.
It can be understood that during the process of collecting, transmitting and analyzing the meteorological data, due to the influence of communication or data acquisition environment, the phenomenon of data error may occur, if the data cannot be found and processed in time, the accuracy and the continuity of the meteorological data are reduced, and in order to improve the quality of the observed data, the accuracy of the meteorological data is improved by adopting the method of detecting the relativity among the data and checking the abnormal data.
In a specific embodiment of the present application, further comprising:
The partition unit is preset with a first meteorological data storage subarea, a second meteorological data storage subarea and a third meteorological data storage subarea, wherein the priority of the first meteorological data storage subarea is greater than that of the second meteorological data storage subarea and the priority of the first meteorological data storage subarea is greater than that of the third meteorological data storage subarea;
the partition unit is also used for storing the multisource meteorological data with the identification code value of Y to the first meteorological data storage sub-area;
the partition unit is further used for calculating data relativity according to the dew point temperature, the air temperature and the relative humidity through a preset formula to obtain a predicted relativity value, acquiring a real-time observation value of the dew point temperature, taking the dew point temperature, the air temperature and the relative humidity as identification code values which cannot determine whether abnormality exists or not when the absolute value of the difference between the real-time observation value of the dew point temperature and the predicted relativity value is larger than the absolute value of a preset standard difference value, and saving the dew point temperature, the air temperature and the relative humidity to a third meteorological data storage subarea;
the preset formula is:
；
wherein,
；
wherein T is d The dew point temperature, T is the air temperature, and V is the relative humidity;
the partition unit is further configured to obtain an air temperature maximum value, an air temperature minimum value, and an air temperature instantaneous value based on the air temperature within the preset time range, and determine whether the air temperature maximum value, the air temperature minimum value, and the air temperature instantaneous value satisfy a preset relationship, where the preset relationship is: l is more than or equal to S is more than or equal to M; wherein,
L is the maximum value of air temperature, S is the instantaneous value of air temperature, and M is the minimum value of air temperature;
when the preset relation is met, saving the air temperature to the second meteorological data storage subarea, and deleting the air temperature in the third meteorological data storage subarea;
and when the preset relation is not met, storing the dew point temperature and the relative humidity into the second meteorological data storage subarea, and deleting the dew point temperature and the relative humidity in the third meteorological data storage subarea.
It can be understood that the influence of abnormal data on production and life during inquiry can be effectively reduced by dividing the subareas with different priorities according to the accuracy of different meteorological data.
In a specific embodiment of the present application, the management unit is further configured to obtain a historical query keyword of a query person, determine a query number of times of each historical query keyword, and display a query result of each multi-source weather data according to the query number n of the historical query keyword, which is the same as the keyword, of the keywords when the query person queries, and the historical query keyword m, which is the greatest in the query number of times, of the historical query keyword, when m is greater than n, display a query result of each multi-source weather data according to the priority, and when m is less than or equal to n, display a query result of each multi-source weather data according to the priority.
In a specific embodiment of the present application, the management unit is further configured to, when there is no historical query keyword that is the same as the keyword when the query is performed by the querier, not display the query result.
In summary, the method analyzes the received collected data in a data quality detection mode, and checks whether the data meets certain standard requirements, so that abnormal data in the collected data can be found and removed in time, the meteorological data is more accurate, a series of problems caused by data errors are prevented, priority display is performed on data with different accuracy, the efficiency in the data query process is improved, the safety of data management is improved in combination with a personalized detection mode for query personnel in the query process, and the situation of data leakage is prevented. The application has the advantages of intelligence, accuracy, safety and the like.
The foregoing is merely an example of the present application and is not intended to limit the scope of the present application, and all changes made in the structure according to the present application should be considered as falling within the scope of the present application without departing from the gist of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated here.
It should be noted that, in the system provided in the foregoing embodiment, only the division of the foregoing functional modules is illustrated, in practical application, the foregoing functional allocation may be performed by different functional modules, that is, the modules or steps in the embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further split into multiple sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps related to the embodiments of the present invention are merely for distinguishing the respective modules or steps, and are not to be construed as unduly limiting the present invention.
Those of skill in the art will appreciate that the various illustrative modules, method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the program(s) corresponding to the software modules, method steps, may be embodied in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Those skilled in the art may implement the described functionality using different approaches for each particular application, but such implementation is not intended to be limiting.
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/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/apparatus.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will fall within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention.
Claims (6)
1. A safety management method applied to meteorological data, comprising:
acquiring a plurality of multi-source meteorological data;
extracting keywords from the multiple-source meteorological data according to preset keywords, and partitioning the multiple-source meteorological data based on a preset time range according to extraction results to obtain multiple meteorological data partitions; wherein,
The preset keywords comprise air temperature, dew point temperature and relative humidity;
performing data inspection on the partitioned multi-source meteorological data, determining whether the multi-source meteorological data are abnormal, storing the multi-source meteorological data when the multi-source meteorological data are not abnormal, taking Y as an identification code value of the multi-source meteorological data, deleting the abnormal multi-source meteorological data when the multi-source meteorological data are abnormal, and taking N as the identification code value of the multi-source meteorological data when the multi-source meteorological data are not abnormal;
dividing a plurality of multi-source meteorological data in each meteorological data partition into a plurality of meteorological data storage subareas according to the identification code value;
when inquiring the multi-source meteorological data, detecting keywords during inquiry, acquiring a plurality of meteorological data subareas according to the keywords, and displaying inquiry results in sequence according to the priority of each meteorological data storage subarea in each meteorological data subarea;
determining whether each of the multi-source weather data has an anomaly, further comprising:
Acquiring measurement intervals of weather element sensors corresponding to the multi-source weather data respectively, determining that the multi-source weather data are not abnormal when the multi-source weather data are in the measurement intervals of the weather element sensors, determining that the multi-source weather data are abnormal when the multi-source weather data are out of the measurement intervals of the weather element sensors, and deleting the multi-source weather data out of the measurement intervals of the weather element sensors;
acquiring climatic limit values corresponding to the multi-source meteorological data respectively, determining that the multi-source meteorological data are not abnormal when the multi-source meteorological data are smaller than or equal to the climatic limit values, determining that the multi-source meteorological data are abnormal when the multi-source meteorological data are larger than the climatic limit values, and deleting the multi-source meteorological data larger than the climatic limit values;
acquiring a data change value of each multi-source meteorological data within 2 hours, determining that the multi-source meteorological data is abnormal when the change of each period of the data change value within 2 hours is 0, and deleting the multi-source meteorological data of which the change of each period of the data change within 2 hours is 0;
A first meteorological data storage subarea, a second meteorological data storage subarea and a third meteorological data storage subarea are preset, and the priority of the first meteorological data storage subarea is greater than that of the second meteorological data storage subarea and the priority of the third meteorological data storage subarea;
storing the multisource meteorological data with the identification code value of Y to the first meteorological data storage subarea;
calculating data correlation according to the dew point temperature, the air temperature and the relative humidity through a preset formula to obtain a predicted correlation value, obtaining a real-time observation value of the dew point temperature, taking the dew point temperature, the air temperature and the relative humidity as identification code values which cannot be used for determining whether abnormality exists or not when the absolute value of the difference between the real-time observation value of the dew point temperature and the predicted correlation value is larger than the absolute value of a preset standard difference value, taking N as the identification code values of the dew point temperature, the air temperature and the relative humidity, and storing the dew point temperature, the air temperature and the relative humidity into the third meteorological data storage subarea;
the preset formula is as follows:
wherein,
wherein T is d The dew point temperature, T is the air temperature, and V is the relative humidity;
Based on the air temperature in a preset time range, acquiring an air temperature maximum value, an air temperature minimum value and an air temperature instantaneous value, and determining whether the air temperature maximum value, the air temperature minimum value and the air temperature instantaneous value meet a preset relationship, wherein the preset relationship is as follows: l is more than or equal to S is more than or equal to M; wherein,
l is the maximum value of air temperature, S is the instantaneous value of air temperature, and M is the minimum value of air temperature;
when a preset relation is met, the air temperature is saved to the second meteorological data storage subarea, and the air temperature in the third meteorological data storage subarea is deleted;
and when the preset relation is not met, storing the dew point temperature and the relative humidity into the second meteorological data storage subarea, and deleting the dew point temperature and the relative humidity in the third meteorological data storage subarea.
2. The method for safety management of meteorological data of claim 1, further comprising, when querying the multi-source meteorological data:
acquiring historical query keywords of a query person, determining the query times of the historical query keywords, and displaying query results of the multi-source meteorological data according to the priority when m is larger than n and the first meteorological data storage subarea, the second meteorological data storage subarea and the third meteorological data storage subarea when m is smaller than or equal to n according to the query times n of the historical query keywords, which are the same as the keywords, of the historical query keywords and the historical query keywords m with the largest query times in the historical query keywords.
3. The method for safety management of weather data according to claim 2, further comprising:
and when the historical query keywords which are the same as the keywords when the query personnel query are not present, the query result is not displayed.
4. A safety management system for meteorological data, applied to the safety management method for meteorological data according to any one of claims 1 to 3, comprising:
the acquisition unit is used for acquiring a plurality of multi-source meteorological data;
the processing unit is used for extracting keywords from the multiple-source meteorological data according to preset keywords, and partitioning the multiple-source meteorological data based on a preset time range according to the extraction result to obtain multiple meteorological data partitions; wherein,
the preset keywords comprise air temperature, dew point temperature and relative humidity;
the detection unit is used for carrying out data inspection on the partitioned multi-source meteorological data, determining whether the multi-source meteorological data are abnormal, storing the multi-source meteorological data when the multi-source meteorological data are not abnormal, taking Y as an identification code value of the multi-source meteorological data, deleting the abnormal multi-source meteorological data when the multi-source meteorological data are abnormal, and taking N as the identification code value of the multi-source meteorological data when the multi-source meteorological data are not abnormal;
The partition unit is used for dividing the multiple source meteorological data in each meteorological data partition into multiple meteorological data storage sub-areas according to the identification code value;
the management unit is used for detecting keywords during query when the multisource meteorological data are queried, acquiring a plurality of meteorological data subareas according to the keywords, and displaying sequentially query results according to the priority of each meteorological data storage subarea in each meteorological data subarea;
the detection unit is further used for acquiring measurement intervals of the meteorological element sensors corresponding to the multi-source meteorological data respectively, determining that the multi-source meteorological data are not abnormal when the multi-source meteorological data are in the measurement intervals of the meteorological element sensors, determining that the multi-source meteorological data are abnormal when the multi-source meteorological data are out of the measurement intervals of the meteorological element sensors, and deleting the multi-source meteorological data which are out of the measurement intervals of the meteorological element sensors;
the detection unit is further used for acquiring climatic limit values corresponding to the multi-source meteorological data respectively, determining that the multi-source meteorological data are not abnormal when the multi-source meteorological data are smaller than or equal to the climatic limit values, determining that the multi-source meteorological data are abnormal when the multi-source meteorological data are larger than the climatic limit values, and deleting the multi-source meteorological data larger than the climatic limit values;
The detection unit is further used for acquiring a data change value of each multi-source meteorological data within 2 hours, determining that the multi-source meteorological data is abnormal when the change of each period of the data change value within 2 hours is 0, and deleting the multi-source meteorological data of which the change of each period of the data change value within 2 hours is 0;
a first meteorological data storage subarea, a second meteorological data storage subarea and a third meteorological data storage subarea are preset in the subarea unit, and the priority of the first meteorological data storage subarea is higher than that of the second meteorological data storage subarea and higher than that of the third meteorological data storage subarea;
the partition unit is further configured to store the multisource meteorological data with the identification code value Y to the first meteorological data storage sub-area;
the partition unit is further configured to calculate a data correlation according to the dew point temperature, the air temperature and the relative humidity through a preset formula to obtain a predicted correlation value, obtain a real-time observed value of the dew point temperature, and store the dew point temperature, the air temperature and the relative humidity to the third weather data storage subarea as identification code values of the dew point temperature, the air temperature and the relative humidity when an absolute value of a difference between the real-time observed value of the dew point temperature and the predicted correlation value is greater than a preset standard difference absolute value;
The preset formula is as follows:
wherein,
wherein T is d The dew point temperature, T is the air temperature, and V is the relative humidity;
the partition unit is further configured to obtain an air temperature maximum value, an air temperature minimum value, and an air temperature instantaneous value based on the air temperature within a preset time range, and determine whether the air temperature maximum value, the air temperature minimum value, and the air temperature instantaneous value satisfy a preset relationship, where the preset relationship is: l is more than or equal to S is more than or equal to M; wherein,
l is the maximum value of air temperature, S is the instantaneous value of air temperature, and M is the minimum value of air temperature;
when a preset relation is met, the air temperature is saved to the second meteorological data storage subarea, and the air temperature in the third meteorological data storage subarea is deleted;
and when the preset relation is not met, storing the dew point temperature and the relative humidity into the second meteorological data storage subarea, and deleting the dew point temperature and the relative humidity in the third meteorological data storage subarea.
5. A safety management system for meteorological data of claim 4 wherein,
the management unit is further configured to obtain historical query keywords of a query person, determine query times of the historical query keywords, and display query results of the multi-source weather data according to the query times n of the historical query keywords, which are the same as the keywords, of the keywords when the query person queries, and the historical query keywords m, which are the most frequently queried, of the historical query keywords, when m is greater than n, the second weather data storage subarea and the third weather data storage subarea according to priorities, and when m is less than or equal to n, display query results of the multi-source weather data according to priorities.
6. A safety management system for meteorological data of claim 5, wherein,
the management unit is further configured to, when the historical query keyword identical to the keyword when the query person queries does not exist, not display a query result.
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