CN116186109A - Method for inquiring time sequence data with value changed by information system - Google Patents
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- CN116186109A CN116186109A CN202211682405.9A CN202211682405A CN116186109A CN 116186109 A CN116186109 A CN 116186109A CN 202211682405 A CN202211682405 A CN 202211682405A CN 116186109 A CN116186109 A CN 116186109A
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- 238000000034 method Methods 0.000 title claims abstract description 27
- 238000004364 calculation method Methods 0.000 claims abstract description 16
- 238000001914 filtration Methods 0.000 claims description 5
- 238000003672 processing method Methods 0.000 claims description 4
- 238000012216 screening Methods 0.000 claims description 4
- 238000010606 normalization Methods 0.000 abstract description 2
- 230000000295 complement effect Effects 0.000 description 3
- 230000001502 supplementing effect Effects 0.000 description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2474—Sequence data queries, e.g. querying versioned data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24578—Query processing with adaptation to user needs using ranking
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
A method for an information system to query time series data for a change in value, comprising: step1, the information system collects real-time data and stores the data according to a time sequence; step2, storing the calculated numerical value change rate and the frequency change rate numerical value according to the calculated time sequence; step3, when the values of the traversed and stored values of the value change rate and the frequency change rate are not smaller than the input values, the stored values meet the requirements, and the system outputs and displays the values of the value change rate and the frequency change rate meeting the requirements; step4, outputting the numerical change rate and the frequency change rate of the display, wherein the numerical values can be ordered according to the numerical values or the time sequence. The method for setting the two conditions of the numerical value change rate and the frequency change rate is adopted, so that the method not only can query the changed analog quantity data, but also can query the changed digital quantity data, and the normalization calculation is carried out on the data so as to unify the condition settings of different data queries, thereby simplifying the condition settings.
Description
Technical Field
The invention relates to the technical field of information data query methods, in particular to a method for querying time sequence data with changed values by an information system.
Background
When the data of the information system is queried, the existing data query is to query the existing names, values and the like of the data, the query method is single, when the value of one data is changed, people often need to know whether the value of other related data is changed, the existing query mode is to manually utilize the function of a query interface to query one data by one, the work efficiency is low, and query points are easy to leak. For example, in a hydropower station state monitoring information system, when a larger change occurs in a temperature value of a certain unit winding at a certain moment, a single knowledge of the temperature change sometimes has no much effect, but people often need to know specific reasons for the unit temperature change, so that the fact that whether other state parameters related to the unit change at the moment exist or not is urgently needed to be known, the specific reasons for the unit temperature change are analyzed, the existing information system method can only inquire one by one, the inquiring efficiency is very low for a plurality of data, and certain data is easy to leak.
Disclosure of Invention
The invention aims to provide a method for inquiring time sequence data with changed values by an information system, which can realize quick and accurate data inquiry.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for an information system to query time series data for a change in value, comprising the steps of:
step1, the information system collects real-time data and stores the data according to a time sequence;
step2, for the stored data, after the system calculates the numerical value change rate and the frequency change rate of the data, the calculated numerical value change rate and frequency change rate numerical value are stored according to the calculated time sequence;
step3, inputting the numerical value of the numerical value change rate and the frequency change rate to be queried when querying, traversing the numerical value of the stored numerical value change rate and the frequency change rate by the system, and outputting and displaying the numerical value change rate and the frequency change rate numerical value meeting the requirements when the numerical value of the traversed stored numerical value change rate and the frequency change rate numerical value is not smaller than the input numerical value by the system;
step4, outputting the numerical change rate and the frequency change rate of the display, wherein the numerical values can be ordered according to the numerical values or the time sequence.
In Step2, the numerical rate of change calculation method is a ratio of an absolute value of a difference between values of time series data at two different times t1 and t2 (t 1< t 2) to an absolute value of a value at the two times being smaller.
In Step2, the calculation of the numerical rate of change requires data processing, including:
step2.1, if the data at the selected moment is null, the value before and after the time sequence database is utilized to carry out the compensation, the value before the compensation or the value after the compensation;
before calculating the numerical change rate, the step2.2 needs to process the values at the two moments of t1 and t2, otherwise, the divisor is 0, and the processing method is as follows: setting values of two moments of time sequence data t1 and t2 as s1 and s2, when s1=0, enabling s1 to be added with a real number which is not 0, enabling s2 to be added with the same number, when s2=0, enabling s2 to be added with a real number which is not 0, enabling s1 to be added with the same number, and enabling all time sequence data to be processed identically;
and if the absolute values of s1 and s2 are not greater than x, judging that the absolute values of the two are close to zero, filtering the data belonging to zero drift, and filtering the data with the values greater than-x and less than x at 2 moments, wherein x is a positive floating point number, setting a zero drift inquiring screening component, and setting an x value input box on the component.
In Step3, the numerical rate query has a configuration component with a t2 time selection frame, and the t1 and t2 time interval selections include a numerical input frame and a unit selection frame.
In Step2, the frequency change rate calculation includes:
the step2.4 frequency calculation method is to count the number of times that the value of data is changed from 0 to 1 or 1 to 0 in a period of time t3 to t 4;
step2.5, if the data in the selected time period has null values, the front and back values of the time sequence database are utilized to carry out compensation, and the front compensation value or the back compensation value is utilized;
the step2.6 frequency change rate calculating method is a ratio of an absolute value of a difference of frequencies of time sequence data in two different time periods T1 and T2 (t1=t2) to the frequency in the time period before the time period;
step2.7, before calculating the frequency change rate, processing the two frequency values, otherwise, the situation that the divisor is 0 occurs, and the processing method is as follows: let s3 be added with a real number other than 0 and s4 be added with the same number when s3=0, assuming that the frequencies of two time periods of one time series data T1 and T2 are s3 and s4, and s3 is earlier. All time sequence data are processed identically.
In Step3, the frequency change rate query has a configuration component, and has a T4 time selection frame, wherein the T1 and T2 time intervals are selected to include a numerical value input frame and a unit selection frame, and the T2 time length is selected to include a numerical value input frame and a unit selection frame.
The method for inquiring time sequence data with changed value in information system adopts two condition setting methods of numerical value change rate and frequency change rate, so that it not only can inquire changed analog quantity data, but also can inquire changed digital quantity data, and can make normalization calculation on data so as to make condition settings of different data inquiry uniform, so that it is simple and convenient for condition setting.
Drawings
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
FIG. 1 is a flow chart of the present invention.
Detailed Description
As shown in fig. 1, a method for querying time sequence data with changed values by an information system includes the following features:
1) Including data query interfaces.
2) The query interface is provided with a data hierarchy range selection component, so that the data retrieval range can be reduced, and the retrieval speed can be improved.
3) The query interface is provided with a data type selection component, generally, data which is only 0 and 1 is classified as a status value, data which is sent into the system by a sensor and is changed continuously along with time is classified as a measured value, and a statistical value obtained through statistical calculation is also used for setting various types to be selected or not selected according to the requirement.
4) The query interface conditionally sets up the component.
5) The condition setting component comprises a numerical value change rate setting component and a frequency change rate setting component, and selection buttons are arranged in the two components.
6) The numerical value change rate setting component and the frequency change rate setting component are respectively provided with a numerical value input box, the numerical value change rate and the frequency change rate can be set, and when the change rate of the inquired time sequence data is not smaller than a set value, the time sequence data is data meeting the condition. The set value is floating point data.
7) The numerical change rate calculation method is a ratio of an absolute value of a difference between values of time series data at two different times t1, t2 (t 1< t 2) to an absolute value of a value at the two times being smaller.
8) If the data at the selected time is null, the time sequence database front and back values are used for supplementing the values, and the front supplementing value or the back supplementing value is used.
9) Before the calculation of the rate of change of the values, the values at these two moments need to be processed, otherwise a divisor of 0 will occur. The treatment method comprises the following steps: let the values at two moments of time series data be s1, s2, let s1 add a real number other than 0 when s1=0, let s2 add an identical number, let s2 add a real number other than 0 when s2=0, and let s1 add an identical number. All time sequence data are processed identically.
10 If the values of t1 and t2 are both close to 0, the data belonging to zero drift can be filtered, the data with the values of 2 moments being more than-x and less than x are filtered, wherein x is a positive floating point number, a zero drift screening component is arranged, and an x value input box is arranged on the component.
11 The numerical rate of change has a configuration component having a t2 time selection box, the t1, t2 time interval selection including a numerical input box and a unit selection box.
12 Counting the number of times that the value of data is changed from 0 to 1 or 1 to 0 in a period of time t3 to t 4;
13 If there is a null value in the data within the selected time period, the time series database front and back values should be used for the complementary value, the front complementary value or the back complementary value.
14 The frequency change rate calculation method is a ratio of an absolute value of a difference of frequencies of time series data in two different time periods T1, T2 (t1=t2) to the frequency in the time period preceding the time period;
15 Before the frequency change rate is calculated, the two frequency values need to be processed, otherwise, the divisor of 0 occurs. The treatment method comprises the following steps: let the frequencies of two time periods of one time sequence data be s3, s4, s3 time is earlier, when s3 = 0, let s3 add a real number other than 0, s4 add the same number. All time sequence data are processed identically.
16 The frequency change rate is provided with a configuration component, a T4 time selection frame is provided, a numerical value input frame and a unit selection frame are selected and contained in a T1 time interval and a T2 time interval, and a numerical value input frame and a unit selection frame are selected and contained in a T2 time length;
17 The inquiry interface is provided with an inquiry button, when each input frame and each selection frame are filled and selected, the inquiry button is clicked, namely all data in the selected range are calculated, the change rate is not smaller than the set value, the required result is obtained, and the inquiry result is output in the output component;
18 When the selection buttons in the numerical value change rate and frequency change rate components are in the selected state, the data meeting any one of the two conditions is the query result.
Examples:
an information system comprising a data query interface; the query interface has a data hierarchy range selection component, a conditional setting component, and a query button.
The condition setting component comprises a numerical value change rate setting component and a frequency change rate setting component, wherein selection buttons are arranged in the two components, when the selection buttons in the numerical value change rate component are in a selected state, the components related to the numerical value change rate are unfolded, and when the selection buttons in the frequency change rate component are in a selected state, the components related to the frequency change rate are unfolded.
The numerical value change rate setting component and the frequency change rate setting component are respectively provided with a numerical value input box for setting numerical value change rate and frequency change rate, and the numerical value change rate setting component is used for setting the data meeting the conditions when the change rate of the inquired time sequence data is not smaller than a set value. The set value is floating point data.
The numerical change rate calculation method is a ratio of an absolute value of a difference of values of time series data at two different times t1, t2 (t 1< t 2) to an absolute value of a value at the two times being smaller; the time sequence database is utilized to supplement the front value or the rear value to the null value data at the selected moment; let the values at two times of one time series data be s1, s2, when s1=0, s1 is added to 1, s2 is added to 1, and when s2=0, s2 is added to 1, s1 is added to 1. All time sequence data are processed identically.
And filtering data with values larger than-x and smaller than x at 2 moments, setting a zero drift screening component, and setting an x value input box on the component, wherein x is a positive floating point number.
The numerical rate of change has a configuration component with a t2 time selection box, and t1, t2 time interval selections include a numerical input box and a unit selection box, the unit including "seconds", "minutes", "hours", "days", "months", "seasons", "years".
The frequency calculation method is to count the number of times that the value of data is changed from 0 to 1 in a period of time t3 to t 4; the frequency change rate calculation method is a ratio of an absolute value of a difference in frequency of data in two different time periods T1, T2 (t1=t2) to frequency in a time period preceding the time period. The time sequence database is utilized to supplement the front value or the rear value of the null value data in the selected time period; let the frequency of two time periods of one time sequence data be s3, s4, s3 time is earlier, when s3=0, let s3 add 1, s4 add 1. All time sequence data are processed identically.
The frequency change rate is provided with a configuration component, a T4 time selection frame is provided, a T1 and T2 time interval selection comprises a numerical value input frame and a unit selection frame, and a unit comprises "seconds", "minutes", "hours", "days", "months", "seasons" and "years"; the T1 time length selection includes a numerical value input box and a unit selection box, and the unit includes "second", "minute", "hour", "day", "month", "season" and "year".
After each input frame and each selection frame are filled and selected, clicking a query button, namely calculating all data in a selected range, wherein the change rate is not smaller than a set value, and the query result is output at an output component. When the selection buttons in the numerical value change rate and frequency change rate components are in the selected state, only the data meeting one of the two conditions is the query result during the query.
For a certain level of time series data, a certain day 1:45:00 minutes and 1:47: the 00-minute data are subjected to numerical value change rate search, the numerical value change rate is set to be 0.9, x is set to be 0.5, 179 data meeting the conditions are screened from 4370 time sequence data, the data volume is reduced to 4% of the original data volume, the workload of people is reduced, and the working efficiency is improved.
Claims (6)
1. A method for querying time series data of which the value is changed by an information system, comprising the following steps:
step1, the information system collects real-time data and stores the data according to a time sequence;
step2, for the stored data, after the system calculates the numerical value change rate and the frequency change rate of the data, the calculated numerical value change rate and frequency change rate numerical value are stored according to the calculated time sequence;
step3, inputting the numerical value of the numerical value change rate and the frequency change rate to be queried when querying, traversing the numerical value of the stored numerical value change rate and the frequency change rate by the system, and outputting and displaying the numerical value change rate and the frequency change rate numerical value meeting the requirements when the numerical value of the traversed stored numerical value change rate and the frequency change rate numerical value is not smaller than the input numerical value by the system;
step4, outputting the numerical change rate and the frequency change rate of the display, wherein the numerical values can be ordered according to the numerical values or the time sequence.
2. The method for inquiring time series data with changed value according to claim 1, wherein in Step2, the numerical change rate calculating method is a ratio of an absolute value of a difference between values of time series data at two different times t1 and t2 (t 1< t 2) to an absolute value of a value at the two times being smaller.
3. The method for inquiring time series data with changed value by an information system according to claim 2, wherein in Step2, the calculation of the numerical change rate requires data processing, comprising:
step2.1, if the data at the selected moment is null, the value before and after the time sequence database is utilized to carry out the compensation, the value before the compensation or the value after the compensation;
before calculating the numerical change rate, the step2.2 needs to process the values at the two moments of t1 and t2, otherwise, the divisor is 0, and the processing method is as follows: setting values of two moments of time sequence data t1 and t2 as s1 and s2, when s1=0, enabling s1 to be added with a real number which is not 0, enabling s2 to be added with the same number, when s2=0, enabling s2 to be added with a real number which is not 0, enabling s1 to be added with the same number, and enabling all time sequence data to be processed identically;
and if the absolute values of s1 and s2 are not greater than x, judging that the absolute values of the two are close to zero, filtering the data belonging to zero drift, and filtering the data with the values greater than-x and less than x at 2 moments, wherein x is a positive floating point number, setting a zero drift inquiring screening component, and setting an x value input box on the component.
4. A method for querying time series data for a value change in an information system according to claim 3, wherein in Step3, the value change rate query has a configuration component with a t2 time selection frame, and the t1 and t2 time interval selection includes a value input frame and a unit selection frame.
5. The method for inquiring time series data with changed value by an information system according to claim 1, wherein in Step2, the frequency change rate calculation includes:
the step2.4 frequency calculation method is to count the number of times that the value of data is changed from 0 to 1 or 1 to 0 in a period of time t3 to t 4;
step2.5, if the data in the selected time period has null values, the front and back values of the time sequence database are utilized to carry out compensation, and the front compensation value or the back compensation value is utilized;
the step2.6 frequency change rate calculating method is a ratio of an absolute value of a difference of frequencies of time sequence data in two different time periods T1 and T2 (t1=t2) to the frequency in the time period before the time period;
step2.7, before calculating the frequency change rate, processing the two frequency values, otherwise, the situation that the divisor is 0 occurs, and the processing method is as follows: let the frequency of two time periods of one time sequence data T1 and T2 be s3 and s4, and the time of s3 is earlier, when s3 = 0, let s3 add a real number which is not 0, s4 add an identical number, and all the time sequence data are processed identically.
6. The method of claim 5, wherein Step3 comprises configuring the device with a T4 time selection frame, wherein the T1 and T2 time intervals are selected to include a value input frame and a unit selection frame, and the T2 time period is selected to include a value input frame and a unit selection frame.
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