CN104951991A - Method for acquiring user natural gas use behavior characteristics and device thereof - Google Patents

Method for acquiring user natural gas use behavior characteristics and device thereof Download PDF

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Publication number
CN104951991A
CN104951991A CN201410124552.3A CN201410124552A CN104951991A CN 104951991 A CN104951991 A CN 104951991A CN 201410124552 A CN201410124552 A CN 201410124552A CN 104951991 A CN104951991 A CN 104951991A
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China
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user
gas
time period
preset time
statistical information
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Inventor
陈正惠
李世泉
孙振祥
关玉霖
崔岚
王广森
范金蔚
赵旭
孟玲
黄闽生
王大鹏
李乃和
王强
刘文华
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China Petroleum and Natural Gas Co Ltd
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China Petroleum and Natural Gas Co Ltd
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Priority to CN201410124552.3A priority Critical patent/CN104951991A/en
Publication of CN104951991A publication Critical patent/CN104951991A/en
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Abstract

The invention discloses a method for acquiring user natural gas use behavior characteristics and a device thereof. The method comprises the steps that gas use behaviors of multiple users are recorded; a gas use behavior time sequence is acquired according to the gas use behaviors of the multiple users; a gas use amount matrix of each user is acquired according to the gas use behavior time sequence; spectral analysis is performed on the gas use amount matrix of each user so that multiple indexes of the gas use amount matrix of each user are acquired; and the multiple indexes of each user are analyzed so that the user gas use behavior characteristics are acquired. Statistics is performed on the gas use amount of the users of a certain time period and calculation is performed according to the gas use amount obtained through statistics so that multiple index values of each user are obtained. Therefore, the natural gas use condition of the users can be understood in a detailed way by a natural gas operator through the calculated multiple index values, and thus the natural gas operator is enabled to provide corresponding services satisfying the users by aiming at different requirements of different users.

Description

Obtain the method and apparatus of user's rock gas use gas behavioural characteristic
Technical field
The present invention relates to rock gas field, particularly a kind of method and apparatus obtaining user's rock gas gas behavioural characteristic.
Background technology
Along with widely using of rock gas, as rock gas operator, only improve constantly self service quality to user, the satisfaction of user to natural gas motorcar could be improved, thus increase rock gas operator competitive power commercially.
In prior art, in order to improve rock gas operator own services quality, being improved the process based prediction model of rock gas by the physics and chemistry parameter measuring rock gas, enabling the rock gas that rock gas operator provides user more high quality.
Measurement of the prior art only considers that rock gas is from the requirement in physics and chemistry parameter, rock gas operator cannot be understood situation that user uses rock gas, cause rock gas operator cannot according to user to the actual demand of rock gas for user provides corresponding service, therefore, need a kind of method obtaining user's use gas behavioural characteristic badly, to analyze the actual service condition of user.
Summary of the invention
The problem of respective service cannot be provided for user's use gas situation to solve prior art, embodiments provide a kind of method and apparatus obtaining user's rock gas gas behavioural characteristic.Described technical scheme is as follows:
On the one hand, provide a kind of method obtaining user's rock gas gas behavioural characteristic, described method comprises:
That records multiple user uses gas behavior, and described gas behavior comprises with gas time and gas consumption;
Use gas behavior according to described multiple user, obtain use gas time of the act sequence, described gas time of the act sequence comprises the gas consumption of the described multiple user sorted by oxycoal gas time order and function;
According to described gas time of the act sequence, obtain the gas consumption matrix of each user;
Analysis of spectrum is carried out to the gas consumption matrix of each user, obtain multiple indexs of the gas consumption matrix of each user, described multiple index comprises the statistical information of average, variance, peak value, linear growth rate, the statistical information of the first preset time period, the statistical information of the second preset time period and the 3rd preset time period, each statistical information at least comprises amplitude, phase place, degree of irregularity, and described first preset time period, the second preset time period and the 3rd preset time period are different;
Multiple indexs of described each user are analyzed, obtains user and use gas behavioural characteristic.
Further, according to described gas time of the act sequence, obtain the gas consumption matrix of each user, specifically comprise:
From described gas time of the act sequence the removal gas time be positioned at fault-time section and servicing time section gas consumption;
According to the use gas time of the act sequence after removal, obtain the gas consumption matrix of each user.
Further, the statistical information of described first preset time period comprises: annual amplitude, annual phase place and annual degree of irregularity;
The statistical information of described second preset time period comprises: monthly amplitude, monthly phase place and monthly degree of irregularity;
The statistical information of described 3rd preset time period comprises: week amplitude, week phase place and week degree of irregularity.
Further, multiple indexs of described each user are analyzed, obtain user's use gas behavioural characteristic specifically to comprise: multiple indexs of each user are imported multi-dimension analysis model, obtain multidimensional scaling perceptual map according to described multi-dimension analysis model, obtain the difference of index between user according to described multidimensional scaling perceptual map.
Further, described method also comprises: user divides into groups by the multiple indexs according to each user, be specially the standard value according to the multiple index of multiple index selection, the desired value of each user and the difference of standard value under calculating identical index, the user of described difference in preset range divides at same group, and described difference the user not in preset range divide in other group.
Alternatively, described multiple user is at least 6 users.
On the other hand, provide a kind of device obtaining user's rock gas gas behavioural characteristic, described device comprises:
Logging modle, uses gas behavior for what record multiple user, and described gas behavior comprises with gas time and gas consumption;
First acquisition module, for using gas behavior according to described multiple user, obtain use gas time of the act sequence, described gas time of the act sequence comprises the gas consumption of the described multiple user sorted by oxycoal gas time order and function;
Second acquisition module, for according to described gas time of the act sequence, obtains the gas consumption matrix of each user;
3rd acquisition module, for carrying out analysis of spectrum to the gas consumption matrix of each user, obtain multiple indexs of the gas consumption matrix of each user, described multiple index comprises the statistical information of average, variance, peak value, linear growth rate, the statistical information of the first preset time period, the statistical information of the second preset time period and the 3rd preset time period, each statistical information at least comprises amplitude, phase place, degree of irregularity, and described first preset time period, the second preset time period and the 3rd preset time period are different;
Analysis module, for analyzing multiple indexs of described each user, obtaining user and using gas behavioural characteristic.
Further, described second acquisition module comprises removal unit and the first acquiring unit, described removal unit be used for from described gas time of the act sequence the removal gas time be positioned at fault-time section and servicing time section gas consumption;
Described first acquiring unit is used for the use gas time of the act sequence after according to removal, obtains the gas consumption matrix of each user.
Further, the statistical information of described first preset time period comprises: annual amplitude, annual phase place and annual degree of irregularity;
The statistical information of described second preset time period comprises: monthly amplitude, monthly phase place and monthly degree of irregularity;
The statistical information of described 3rd preset time period comprises: week amplitude, week phase place and week degree of irregularity.
Further, described analysis module comprises:
Import unit, for multiple indexs of each user are imported multi-dimension analysis model;
Second acquisition unit, for obtaining multidimensional scaling perceptual map according to described multi-dimension analysis model;
3rd acquiring unit, for obtaining the difference of index between user according to described multidimensional scaling perceptual map.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is:
The embodiment of the present invention is by adding up the gas consumption of user's time period, and calculate according to the gas consumption of statistics, obtain multiple desired values of each user, so can make the multiple desired values of rock gas operator by calculating, detailed understanding user uses the situation of rock gas, thus rock gas operator can be made for the different demands of different user, provide and make customer satisfaction system service accordingly.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the method flow diagram of the acquisition user rock gas gas behavioural characteristic that the embodiment of the present invention one provides;
Fig. 2 is the method flow diagram of the acquisition user rock gas gas behavioural characteristic that the embodiment of the present invention two provides;
Fig. 3 is the multidimensional scaling perceptual map that the embodiment of the present invention two provides;
Fig. 4 is the apparatus structure schematic diagram of the acquisition user rock gas gas behavioural characteristic that the embodiment of the present invention three provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Embodiment one
Provide a kind of method obtaining user's rock gas gas behavioural characteristic see the embodiment shown in Fig. 1, Fig. 1, the method comprises:
Step 101: that records multiple user uses gas behavior, this use gas behavior comprises with gas time and gas consumption;
Step 102: use gas behavior according to multiple user, obtains use gas time of the act sequence, comprises the gas consumption of the multiple users by the sequence of oxycoal gas time order and function by gas time of the act sequence;
Step 103: according to by gas time of the act sequence, obtain the gas consumption matrix of each user;
Step 104: analysis of spectrum is carried out to the gas consumption matrix of each user, obtain multiple indexs of the gas consumption matrix of each user, multiple index comprises the statistical information of average, variance, peak value, linear growth rate, the statistical information of the first preset time period, the statistical information of the second preset time period and the 3rd preset time period, each statistical information at least comprises amplitude, phase place, degree of irregularity, and the first preset time period, the second preset time period and the 3rd preset time period are different;
Step 105: analyze multiple indexs of each user, obtains user and uses gas behavioural characteristic.
The embodiment of the present invention is by adding up the gas consumption of user's time period, and calculate according to the gas consumption of statistics, obtain multiple desired values of each user, so can make the multiple desired values of rock gas operator by calculating, detailed understanding user uses the situation of rock gas, thus rock gas operator can be made for the different demands of different user, provide and make customer satisfaction system service accordingly.
Embodiment two
Provide a kind of method obtaining user's rock gas gas behavioural characteristic see the embodiment shown in Fig. 2, Fig. 2, the method comprises:
Step 201: that records multiple user uses gas behavior, comprises with gas time and gas consumption with gas behavior.
Use gas situation in order to what understand user, recorded by the gas consumption of the multiple user every day needing statistics, the gas consumption of each user can obtain according to the data of gas meter, flow meter or rock gas operator statistics.From those skilled in the art, when the gas behavior of recording user use, the recording user gas time is longer, and the information of reflection user gas is more comprehensive, accurate, therefore alternatively, at least record each user with the gas time period more than 1 year and statistics number of users be at least 6.Wherein, the user mentioned in the embodiment of the present invention can be personal user, also can be enterprise customer.Personal user can record gas consumption and time corresponding to gas consumption by the reading on record every day gas meter, flow meter; Enterprise customer need record the gas consumption of enterprise overall and time corresponding to this gas consumption, and the record of this gas consumption can according to total gas meter, or the summation that added up by the gas consumption of all departments of enterprise obtains.
Step 202: use gas behavior according to multiple user, obtains use gas time of the act sequence, comprises the gas consumption of the multiple users by the sequence of oxycoal gas time order and function by gas time of the act sequence.
Arranging multiple user with gas behavior, particularly, arranges the gas consumption of each user and time corresponding to gas consumption according to time order and function order, so can obtain each user's use gas time of the act sequence.
Step 203: according to by gas time of the act sequence, obtain the gas consumption matrix of each user.
A user answers a gas consumption matrix with gas time of the act sequence pair, arranging each user according to the form of matrix with the gas consumption in gas time of the act sequence, thus obtains the gas consumption matrix of each user.Wherein, the form of matrix can arrange according to the matrix format meeting Matlab software requirement, and when carrying out matrix arrangement, for be in user behavior time series fault-time section and servicing time section gas consumption to remove, to ensure the accuracy of the gas consumption matrix obtaining each user.
Step 204: analysis of spectrum is carried out to the gas consumption matrix of each user, obtain multiple indexs of the gas consumption matrix of each user, multiple index comprises the statistical information of average, variance, peak value, linear growth rate, the statistical information of the first preset time period, the statistical information of the second preset time period and the 3rd preset time period, each statistical information at least comprises amplitude, phase place, degree of irregularity, and the first preset time period, the second preset time period and the 3rd preset time period are different.
Wherein, average represents average gas consumption each user's every day; Variance refer to every day actual gas consumption and average difference square average, variance represent user's gas consumption fluctuation size; Peak value refers to the numerical value that gas consumption is maximum; Linear growth rate refers to the linear growth rate of gas consumption; The statistical information of the first preset time period comprises: annual amplitude, annual phase place and annual degree of irregularity; The statistical information of the second preset time period comprises: monthly amplitude, monthly phase place and monthly degree of irregularity; The statistical information of the 3rd preset time period comprises: week amplitude, week phase place and week degree of irregularity; Amplitude represents the oscillation amplitude of gas consumption data, the size of reflection user gas consumption amplitude of variation and change speed; It is X-axis that phase place referred to time, take gas consumption as Y-axis, when the data in gas consumption matrix are represented with smooth curve (can be sinusoidal or cosine curve) in coordinate, and the cosine value of data and curves and X-axis angle, the positive and negative change of phase place reflection user gas consumption.13 indexs of above-mentioned each user, the gas consumption matrix computations by each user draws.
Step 205: analyze multiple indexs of each user, obtains user and uses gas behavioural characteristic.
Wherein, multiple indexs of each user are imported multi-dimension analysis model, obtains multidimensional scaling perceptual map according to multi-dimension analysis model, obtain the difference of index between user according to multidimensional scaling perceptual map.Multi-dimension analysis model is as following formula one:
Stress ( q ) = ( &Sigma; &Sigma; i < k ( d ik ( q ) - d ^ ik ( q ) ) &Sigma; &Sigma; i < k [ d ik ( q ) ] ) 1 / 2 (formula one)
In above-mentioned formula one, i is i-th user; Q is q index; K is a kth user; represent under q index, i-th user arrives the distance of a kth user; Brought into by multiple indexs of multi-dimension analysis model by each user, obtain multidimensional scaling perceptual map.
Multidimensional scaling perceptual map is using the wherein two indices of multiple index as X-axis and Y-axis, marks the numerical value of the corresponding index of each user in coordinate diagram respectively.See Fig. 3, multidimensional scaling perceptual map shown in Fig. 3 is as the coordinate diagram of Y-axis using variance as X-axis, using monthly amplitude, variance yields corresponding for each user and monthly amplitude are brought in coordinate diagram, the variance yields of a, b, c, d4 corresponding 4 different users of coordinate points difference and monthly amplitude, can be drawn by Fig. 3, variance yields and the monthly amplitude of a user are relatively high, variance yields and monthly amplitude reflect that user's undulatory property on gas consumption is large, with surely indignant about unfairness, larger for the gas consumption difficulty of management a user rock gas operator.From those skilled in the art, multiple multidimensional scaling perceptual map can be obtained, the X-axis of multiple multidimensional scaling perceptual map and index corresponding to Y-axis different.Thus each user can be shown intuitively by multidimensional scaling perceptual map use gas behavior.
Further, what rock gas operator can obtain each user according to multiple desired value of user and multidimensional scaling perceptual map uses gas behavioural characteristic.Such as, can be reflected the size of the daily tolerance of user by the size of average, pay close attention to and carry out preferential service for the user that average is larger, what occur for this type of user can preferentially solve by gas problem; Reflect the undulatory property of user on gas consumption and stationarity by variance and amplitude, variance and amplitude show that more greatly user's undulatory property on gas consumption is large, stationarity is poor, rock gas operator for this type of user service and to sell difficulty larger; The size of user's monthly gas consumption amplitude of variation can be reflected by monthly amplitude, if user increases considerably at the monthly amplitude of certain month, by monthly amplitude value, rock gas operator can shift to an earlier date awareness information, can before this user occurs significantly using gas, correspondingly store in advance, prepare rock gas, make user in a large amount of phenomenon that rock gas shortage can not occur during gas.By obtain user use gas behavioural characteristic, the steam application rule of user can be obtained, make rock gas operator have stronger foresight, enhance its process customer problem ability, improve to user serve quality.From those skilled in the art, when the service of formulating user and solution, be carry out comprehensive descision according to multiple indexs of user, be not limited to certain index, make the service for user more comprehensive, the mode of dealing with problems is more reasonable.
Step 206: further, the method also comprises: user divides into groups by the multiple indexs according to each user.Be specially the standard value according to the multiple index of multiple index selection, the desired value of each user and the difference of standard value under calculating identical index, the user of this difference in preset range divides at same group, and this difference the user not in preset range divide in other group.
Wherein, multiple desired values of each user are imported Clustering Model respectively, calculate the distance values under identical index between every two users by this Clustering Model, Clustering Model formula is as following formula two:
d ij ( q ) = [ &Sigma; | x ik - x jk | q ] 1 / q , q > 0 (formula two)
In above-mentioned formula two, i is i-th user; Q is q index; J is a jth user; K is standard value; x ikrefer to the distance value from i-th user to standard value; x jkrefer to the distance value from a jth user to standard value; d ijq () represents under q index, i-th user is to the distance value of a jth user; Difference under obtaining identical index by Clustering Model between every two users, and by preset difference value scope, the user of difference within the scope of preset difference value is divided into same group, the user exceeding preset difference value scope divides in other groups.According to the standard value of the multiple index of multiple index selection, wherein, the corresponding standard value of each index, standard value can obtain according to the same desired value calculating mean value of all users, also can obtain according to the experience of rock gas operator, the desired value of each user and the difference of standard value under calculating identical index, the user of this difference in preset range divides at same group, and this difference the user not in preset range divide in other group.Such as, when utilizing average to divide into groups, party A-subscriber's average is 1000, and party B-subscriber's average is 1300, C user's average is 1600, if obtain the standard value of average according to the method for calculating mean value, then the standard value of average is 1300, and preset range is set to be less than 300 and be more than or equal to 300 two parts, difference according to calculating party A-subscriber and C user and standard value is 300, the difference of party B-subscriber and standard value is 0, then party B-subscriber is divided into first group, A and C user is divided into second group.Also by under same index, sort to all user's desired values, two users that ranking results is comparatively close, the standard value of its q index relatively.Such as, party A-subscriber's average is 1000, and party B-subscriber's average is 1300, C user's average is 1600, D user's specification value is 1900, E user average is 2100, carries out sequence and learns, E>D>C>BGreatT. GreaT.GTA, then the average standard value of party A-subscriber is 1, and the average standard value of party B-subscriber is the average standard value of 2, C user is 3, the standard value of D user is the average standard value of 4, E user is 5.When number of users is more, the mode of 10 points of positions can be adopted to calculate standard value, namely ranking results front 1/10th user, the standard value of this index is 10, ranking results front 2/10 to ten/10ths user, the standard value of this index is 9, by that analogy.By repeatedly sorting operation, the standard value of all indexs of all users can be made to become numeral in 1-10, and be that the user of same numeral is divided into one group by standard value.So, can be considered by the identical group of gas behavioural characteristic the user of same group, then rock gas operator can formulate solution for this group gas according to every group gas behavioural characteristic, the user with similar gas behavioural characteristic is divided into one group, gas problem can either be used by what occur with the solution of gas behavioural characteristic, the quantity of rock gas operator process problem can be reduced again to greatest extent, improve treatment effeciency.Here do not limit for group number, from those skilled in the art, preset range can be set to multilayer, every layer of correspondence group.Such as, preset range can be set to 300,600,900 3 layers, the user that the desired value of each user and the difference of standard value are less than 300 divides at first group, and difference is more than or equal to 600 and the user being less than or equal to 900 divides at second group, and the user that difference is greater than 900 divides at the 3rd group.After having divided group to user, can verify, checking formula is as shown in formula three:
D = &Sigma; n q ( x ik - x jk ) 2 (formula three)
In above-mentioned formula three: i is i-th user; Q is q index; N is natural number, and the value of n is determined by Gas Prices; J is a jth user; K is a kth user; x ikrefer to the distance value from i-th user to a kth user; D is sum of squares of deviations.The distance between user's use gas behavioural characteristic can be obtained by formula three, if the sum of squares of deviations between the user in identical group is less, and sum of squares of deviations between group and group is comparatively large, then illustrate that user grouping is reasonable, can formulate the solution of user's gas in units of group.From those skilled in the art, the size of the value of unreasonable adjustable preset range if divide into groups, or the number of plies of adjustment preset range, the sum of squares of deviations between the user enabling the group result finally obtained meet in identical group is less and requirement that sum of squares of deviations between group and group is larger.
Embodiment three
There is provided a kind of device obtaining user's rock gas gas behavioural characteristic see the embodiment shown in Fig. 4, Fig. 4, this device comprises:
Logging modle 401: use gas behavior for what record multiple user, comprises with gas time and gas consumption with gas behavior;
First acquisition module 402: for using gas behavior according to multiple user, obtain use gas time of the act sequence, this use gas time of the act sequence comprises the gas consumption of the multiple users sorted by oxycoal gas time order and function;
Second acquisition module 403: for according to by gas time of the act sequence, obtain the gas consumption matrix of each user;
3rd acquisition module 404: for carrying out analysis of spectrum to the gas consumption matrix of each user, obtain multiple indexs of the gas consumption matrix of each user, multiple index comprises the statistical information of average, variance, peak value, linear growth rate, the statistical information of the first preset time period, the statistical information of the second preset time period and the 3rd preset time period, each statistical information at least comprises amplitude, phase place, degree of irregularity, and the first preset time period, the second preset time period and the 3rd preset time period are different;
Analysis module 405: for analyzing multiple indexs of each user, obtains user and uses gas behavioural characteristic.
Further, the second acquisition module 403 comprises removal unit and the first acquiring unit, this removal unit be used for from be positioned at the removal gas time gas time of the act sequence fault-time section and servicing time section gas consumption;
This first acquiring unit is used for the use gas time of the act sequence after according to removal, obtains the gas consumption matrix of each user.
Further, the statistical information of the first preset time period comprises: annual amplitude, annual phase place and annual degree of irregularity;
The statistical information of the second preset time period comprises: monthly amplitude, monthly phase place and monthly degree of irregularity;
The statistical information of the 3rd preset time period comprises: week amplitude, week phase place and week degree of irregularity.
Further, analysis module 405 comprises:
Import unit, for multiple indexs of each user are imported multi-dimension analysis model;
Second acquisition unit, for obtaining multidimensional scaling perceptual map according to multi-dimension analysis model;
3rd acquiring unit, for obtaining the difference of index between user according to multidimensional scaling perceptual map.
Further, this device also comprises:
Grouping module, for the multiple indexs according to each user, user is divided into groups, be specially the standard value according to the multiple index of multiple index selection, the desired value of each user and the difference of standard value under calculating identical index, the user of this difference in preset range divides at same group, and this difference the user not in preset range divide in other group.
The embodiment of the present invention is by adding up the gas consumption of user's time period, and calculate according to the gas consumption of statistics, obtain multiple desired values of each user, so can make the multiple desired values of rock gas operator by calculating, detailed understanding user uses the situation of rock gas, thus rock gas operator can be made for the different demands of different user, provide and make customer satisfaction system service accordingly.
It should be noted that: a kind of device obtaining user's rock gas gas behavioural characteristic that above-described embodiment provides, this device is when obtaining user's use gas behavioural characteristic, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, inner structure by device is divided into different functional modules, to complete all or part of function described above.In addition, the embodiment of the method for the acquisition user rock gas gas behavioural characteristic that above-described embodiment provides belongs to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. obtain a method for user's rock gas gas behavioural characteristic, it is characterized in that, described method comprises:
That records multiple user uses gas behavior, and described gas behavior comprises with gas time and gas consumption;
Use gas behavior according to described multiple user, obtain use gas time of the act sequence, described gas time of the act sequence comprises the gas consumption of the described multiple user sorted by oxycoal gas time order and function;
According to described gas time of the act sequence, obtain the gas consumption matrix of each user;
Analysis of spectrum is carried out to the gas consumption matrix of each user, obtain multiple indexs of the gas consumption matrix of each user, described multiple index comprises the statistical information of average, variance, peak value, linear growth rate, the statistical information of the first preset time period, the statistical information of the second preset time period and the 3rd preset time period, each statistical information at least comprises amplitude, phase place, degree of irregularity, and described first preset time period, the second preset time period and the 3rd preset time period are different;
Multiple indexs of described each user are analyzed, obtains user and use gas behavioural characteristic.
2. method according to claim 1, is characterized in that, according to described gas time of the act sequence, obtains the gas consumption matrix of each user, specifically comprises:
From described gas time of the act sequence the removal gas time be positioned at fault-time section and servicing time section gas consumption;
According to the use gas time of the act sequence after removal, obtain the gas consumption matrix of each user.
3. method according to claim 1 and 2, is characterized in that,
The statistical information of described first preset time period comprises: annual amplitude, annual phase place and annual degree of irregularity;
The statistical information of described second preset time period comprises: monthly amplitude, monthly phase place and monthly degree of irregularity;
The statistical information of described 3rd preset time period comprises: week amplitude, week phase place and week degree of irregularity.
4. method according to claim 1, is characterized in that, analyzes multiple indexs of described each user, obtains user's use gas behavioural characteristic and specifically comprises:
Multiple indexs of each user are imported multi-dimension analysis model, obtains multidimensional scaling perceptual map according to described multi-dimension analysis model, obtain the difference of index between user according to described multidimensional scaling perceptual map.
5. method according to claim 1, is characterized in that, described method also comprises:
User divides into groups by the multiple indexs according to each user, be specially the standard value according to the multiple index of multiple index selection, the desired value of each user and the difference of standard value under calculating identical index, the user of described difference in preset range divides at same group, and described difference the user not in preset range divide in other group.
6. method according to claim 1, is characterized in that, described multiple user is at least 6 users.
7. obtain a device for user's rock gas gas behavioural characteristic, it is characterized in that, described device comprises:
Logging modle, uses gas behavior for what record multiple user, and described gas behavior comprises with gas time and gas consumption;
First acquisition module, for using gas behavior according to described multiple user, obtain use gas time of the act sequence, described gas time of the act sequence comprises the gas consumption of the described multiple user sorted by oxycoal gas time order and function;
Second acquisition module, for according to described gas time of the act sequence, obtains the gas consumption matrix of each user;
3rd acquisition module, for carrying out analysis of spectrum to the gas consumption matrix of each user, obtain multiple indexs of the gas consumption matrix of each user, described multiple index comprises the statistical information of average, variance, peak value, linear growth rate, the statistical information of the first preset time period, the statistical information of the second preset time period and the 3rd preset time period, each statistical information at least comprises amplitude, phase place, degree of irregularity, and described first preset time period, the second preset time period and the 3rd preset time period are different;
Analysis module, for analyzing multiple indexs of described each user, obtaining user and using gas behavioural characteristic.
8. device according to claim 7, it is characterized in that, described second acquisition module comprises removal unit and the first acquiring unit, described removal unit be used for from described gas time of the act sequence the removal gas time be positioned at fault-time section and servicing time section gas consumption;
Described first acquiring unit is used for the use gas time of the act sequence after according to removal, obtains the gas consumption matrix of each user.
9. the device according to claim 7 or 8, is characterized in that,
The statistical information of described first preset time period comprises: annual amplitude, annual phase place and annual degree of irregularity;
The statistical information of described second preset time period comprises: monthly amplitude, monthly phase place and monthly degree of irregularity;
The statistical information of described 3rd preset time period comprises: week amplitude, week phase place and week degree of irregularity.
10. device according to claim 7, is characterized in that, described analysis module comprises:
Import unit, for multiple indexs of each user are imported multi-dimension analysis model;
Second acquisition unit, for obtaining multidimensional scaling perceptual map according to described multi-dimension analysis model;
3rd acquiring unit, for obtaining the difference of index between user according to described multidimensional scaling perceptual map.
CN201410124552.3A 2014-03-28 2014-03-28 Method for acquiring user natural gas use behavior characteristics and device thereof Pending CN104951991A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845521A (en) * 2016-12-23 2017-06-13 杭州云象网络技术有限公司 A kind of block chain node clustering method of Behavior-based control time series
CN108256752A (en) * 2018-01-02 2018-07-06 北京市燃气集团有限责任公司 A kind of analysis method of gas user gas behavior

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102468997A (en) * 2011-07-01 2012-05-23 中国人民解放军国防科学技术大学 Method for assessing stability of safety index system of multidimension network
CN102567536A (en) * 2011-12-31 2012-07-11 南京柏梭信息科技有限公司 Key performance target analyzing method based on data statistics
CN102930155A (en) * 2012-10-30 2013-02-13 国网能源研究院 Method and device for acquiring early-warming parameters of power demands
CN103279837A (en) * 2013-06-05 2013-09-04 浙江中控软件技术有限公司 Production data analysis method and system
CN103617468A (en) * 2013-12-13 2014-03-05 李敬泉 Medium and long term predication method for necessities of life

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102468997A (en) * 2011-07-01 2012-05-23 中国人民解放军国防科学技术大学 Method for assessing stability of safety index system of multidimension network
CN102567536A (en) * 2011-12-31 2012-07-11 南京柏梭信息科技有限公司 Key performance target analyzing method based on data statistics
CN102930155A (en) * 2012-10-30 2013-02-13 国网能源研究院 Method and device for acquiring early-warming parameters of power demands
CN103279837A (en) * 2013-06-05 2013-09-04 浙江中控软件技术有限公司 Production data analysis method and system
CN103617468A (en) * 2013-12-13 2014-03-05 李敬泉 Medium and long term predication method for necessities of life

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
杨淑霞: ""中国电力需求周期演变规律及转折点研究"", 《中国博士学位论文全文数据库经济与管理科学辑》 *
胡良平 等: "《脑血管病科研设计与统计分析》", 31 May 2013 *
陈银峰: ""电力需求与经济发展的关联关系研究"", 《中国优秀硕士学位论文全文数据库经济与管理科学辑》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845521A (en) * 2016-12-23 2017-06-13 杭州云象网络技术有限公司 A kind of block chain node clustering method of Behavior-based control time series
CN108256752A (en) * 2018-01-02 2018-07-06 北京市燃气集团有限责任公司 A kind of analysis method of gas user gas behavior
CN108256752B (en) * 2018-01-02 2019-09-13 北京市燃气集团有限责任公司 A kind of analysis method of gas user gas behavior

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Application publication date: 20150930