CN110428275A - Data processing method, device, storage medium and the computer equipment of multizone price - Google Patents

Data processing method, device, storage medium and the computer equipment of multizone price Download PDF

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CN110428275A
CN110428275A CN201910081280.6A CN201910081280A CN110428275A CN 110428275 A CN110428275 A CN 110428275A CN 201910081280 A CN201910081280 A CN 201910081280A CN 110428275 A CN110428275 A CN 110428275A
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price
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刘石磊
利志跃
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Beijing Hai Shi Bao Technology Co Ltd
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Beijing Hai Shi Bao Technology Co Ltd
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08Construction

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Abstract

The present invention is data processing method, device, storage medium and the computer equipment of a kind of multizone price.Its method includes: to obtain the first data and the second data of each channel data of each attribute expense of the same area;Obtain deviation and channel weighted value;Median needed for being calculated according to the first data, the second data, channel weighted value;The median is greater than deviation, issues warning information.Data processing method, device, storage medium and the computer equipment of above-mentioned multizone price, pass through the relationship being arranged between each region historical data and new data, each channel of each region price and each region, early warning is carried out by built-in all kinds of deviations, carry out three weight analysis architectural engineering price values, accurate early warning can be carried out to the price fluctuation of architectural engineering, improve the objectivity of architectural engineering price fluctuation analysis, user is reminded to pay close attention to Various types of data extremely, automatic processing or user is allowed to handle again, improves user experience.

Description

Data processing method, device, storage medium and the computer equipment of multizone price
Technical field
The present invention relates to information technology field, more particularly to a kind of multizone price data processing method, device, deposit Storage media and computer equipment.
Background technique
Construction industry is the pillar industries of the national economy, and Industrial Linkage degree is high, according to statistics, whole society's investment 50% with On new production capacity or use value could be formed by construction industry.
But since the development speed of each region is not quite alike, factor market is different, the architectural engineering in each region Price is different, and when acquiring the different engineering prices in each region, the sources of price are numerous, including producer directly reports Valence sells Bidding and construction party quotation etc..For identical product, different tissues can provide different prices.In different works In journey project, due to the difference of market supply and risk control, quotation that same harpoon provides identical product may also can It is variant.Therefore, architectural engineering buying is difficult for by the quotation that single channel is inquired and more informative product price is provided.
However, refreshing each channel data in each region in real time, due to adopting in the processing method of traditional data by all kinds of means Collect the numerous of data, should guarantee quick response price change, and need to guarantee not conflict between data and consistency, often according to According to the experience and judgement of responsible person, so that price verification takes a long time and easily malfunctions, so as to cause according to data by all kinds of means It determines that the efficiency of each region and each region project data is lower, brings many inconvenience in fact.
Summary of the invention
Aiming at the problem that data early warning of above-mentioned price, the present invention provide a kind of multizone price data processing method, Device, storage medium and computer equipment.
For achieving the above object, the present invention uses following methods:
A kind of data processing method of multizone price, wherein this method comprises:
Obtain the first data and the second data of each channel data of each attribute expense of the same area;
Obtain deviation and channel weighted value;
Median needed for being calculated according to the first data, the second data, channel weighted value;
When the median is greater than deviation, warning information is issued.
In one embodiment, this method includes
Obtain the first data and the second data of each channel data of each attribute expense of the same area;
Obtain the first deviation, the second deviation and channel weighted value of each channel;
Calculate the first median between the first data of each channel and the second data;It calculates among each channel first Value is greater than summation after the corresponding channel weighted value of the first deviation is multiplied with the first median and obtains the second median;
When second median is greater than the second deviation, the first warning information is issued.
In one embodiment, this method includes
Obtain the first data and the second data of each channel data of each attribute expense of the same area;
Obtain the first deviation, the second deviation, third deviation and the channel weighted value and the second number of each channel According to multiple sub- Channel Prices;
Calculate the first median between every sub- Channel Price of the second data of each channel and the first deviation;Meter Calculate the first median greater than third deviation sub- Channel Price number and all sub- channels number ratio obtain beyond than Example value;Calculate each channel obtains the second median with summation after the multiplication of the channel weighted value of corresponding channel beyond ratio value;
When second median is greater than the second deviation, the first warning information is issued.
In one embodiment, this method further include:
Obtain the 4th deviation of each region price;
The first area price and second area price of each region are calculated with the first data of each region and the second data, The zone price is the multiple support channels data of the same area and being multiplied for channel weighted value of each attribute expense in each region Summing value afterwards;
Calculate the 4th median between first area price and second area price;
When 4th median is greater than four deviations, the second warning information is issued.
In one embodiment, this method further include:
Obtaining a zone price is benchmark area data;
Obtain the 5th deviation of each region except reference area;
The first area price and second area price of each region are calculated with the first data of each region and the second data, The zone price is the multiple support channels data of the same area and being multiplied for channel weighted value of each attribute expense in each region Summing value afterwards;
Each region first area price except calculating benchmark region is divided by the first of reference area first area price Ratio value, each region second area price except calculating benchmark region divided by the second price value of reference area the second ratio Value;
Calculate the 5th median between the first ratio value and the second ratio value;
When 5th median is greater than five deviations, third warning information is issued.
In one embodiment, this method further include:
Obtaining a zone price is benchmark area data;
Obtain the 5th deviation of each region except reference area;
The first area price and second area price of each region are calculated with the first data of each region and the second data, The zone price is the multiple support channels data of the same area and being multiplied for channel weighted value of each attribute expense in each region Summing value afterwards;
Each region first area price except calculating benchmark region is divided by the first of reference area first area price Ratio value, each region second area price except calculating benchmark region divided by the second price value of reference area the second ratio Value;
Calculate the 5th median between the first ratio value and the second ratio value;
When 5th median is greater than five deviations, third warning information is issued.
In one embodiment, after issuing warning information, function is calculated according to system onboard data and is recalculated, And calculated result is covered into corresponding data.
In one embodiment, after issuing warning information, artificial adjustment data is received and cover corresponding data.
In one embodiment, which is labour cost, fee of material, machinery cost, administration fee rate, the comprehensive list of inventory row Valence, partitioned project construction cost per square meter, construction unit construction cost per square meter or individual works construction cost per square meter.
A kind of data processing equipment of multizone price, wherein the device includes:
Data reception module, for receiving the first data and second of each channel data of each attribute expense of the same area Data;
Early warning receiving module obtains deviation and channel weighted value for receiving;
Computing module, median needed for being calculated according to the first data, the second data and channel weighted value;
Warning module, when the median is greater than deviation, sending warning information.
In one embodiment, the device further include:
First early warning receiving module, for receiving the first deviation, the second deviation and channel weighted value of each channel;
First early warning computing module calculates the first data of each channel and the first median of the second data difference;Meter Calculate the channel that each first median is more than the first deviation channel weighted value be multiplied with the first median after summation obtain the Two medians;
First warning module, second median are greater than the second deviation, issue the first warning information.
In one embodiment, which further includes
First early warning receiving module, for receive the first deviation of each channel, the second deviation, third deviation and Channel weighted value and the multiple sub- Channel Prices of the second data;
First early warning computing module, calculate the second data of each channel every sub- Channel Price and the first deviation it Between the first median;The first median is calculated greater than the sub- Channel Price number of third deviation and the number of all sub- channels Ratio obtain beyond ratio value;It sums after calculating the channel weighted value multiplication for exceeding ratio value and corresponding channel of each channel Obtain the second median;
First warning module when second median is greater than the second deviation, issues the first warning information.
In one embodiment, the device further include:
Second early warning receiving module, for receiving the 4th deviation for obtaining each region price;
Second early warning computing module calculates the first area valence of each region with the first data of each region and the second data Lattice and second area price, the zone price be each region each attribute expense the same area multiple support channels data with Summing value after the multiplication of channel weighted value;Calculate the 4th median between first area price and second area price;
Second warning module issues the second warning information when the 4th median is greater than four deviations.
In one embodiment, the device further include:
Third early warning receiving module is except benchmark area data and reference area for receiving a zone price 5th deviation of each region;
Third early warning computing module calculates the first area valence of each region with the first data of each region and the second data Lattice and second area price, the zone price be each region each attribute expense the same area multiple support channels data with Summing value after the multiplication of channel weighted value;Each region first area price except calculating benchmark region is divided by reference area First ratio value of one zone price, each region second area price except calculating benchmark region is divided by reference area second Second ratio value of price value;Calculate the 5th median between the first ratio value and the second ratio value;
Third warning module issues third warning information when the 5th median is greater than five deviations.
In one embodiment, the device further include:
Third early warning receiving module is except benchmark area data and reference area for receiving a zone price 5th deviation of each region;
Third early warning computing module calculates the first area valence of each region with the first data of each region and the second data Lattice and second area price, the zone price be each region each attribute expense the same area multiple support channels data with Summing value after the multiplication of channel weighted value;Each region first area price except calculating benchmark region is divided by reference area First ratio value of one zone price, each region second area price except calculating benchmark region is divided by reference area second Second ratio value of price value;Calculate the 5th median between the first ratio value and the second ratio value;
Third warning module issues third warning information when the 5th median is greater than five deviations.
It in one embodiment, further include an automatic regulating module, after issuing warning information, according to system onboard data It calculates function to be recalculated, and calculated result is covered into corresponding data.
It in one embodiment, further include a people to adjust module, for after issuing warning information, receiving artificial adjustment Data simultaneously cover corresponding data.
In one embodiment, which is labour cost, fee of material, machinery cost, administration fee rate, the comprehensive list of inventory row Valence, partitioned project construction cost per square meter, construction unit construction cost per square meter or individual works construction cost per square meter.
A kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor The step of data processing method described in any embodiment is realized when execution.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage Computer program, which is characterized in that the processor realizes the step of data processing method described in any embodiment when executing the program Suddenly.
Data processing method, device, storage medium and the computer equipment of above-mentioned multizone price, by the way that each area is arranged Relationship between domain historical data and new data, each channel of each region price and each region, by built-in all kinds of Deviation carries out early warning, carries out multiple analysis architectural engineering price value, can carry out accurate early warning to the price fluctuation of architectural engineering, The objectivity of architectural engineering price fluctuation analysis is improved, reminds user to pay close attention to Various types of data extremely, then automatic processing Or user is allowed to handle, improve user experience.
Detailed description of the invention
Fig. 1 is the application scenarios of the data processing method of multizone price in one embodiment;
Fig. 2 is the internal structure chart of computer equipment in the data processing method of multizone price in one embodiment;
Fig. 3 is the flow chart of the data processing method of multizone price in one embodiment;
Fig. 4 is the flow chart of the data processing method of multizone price in the first early warning embodiment;
Fig. 5 is the flow chart of the data processing method of multizone price in another embodiment of the first early warning;
Fig. 6 is the flow chart of the data processing method of multizone price in the second early warning embodiment;
Fig. 7 is the flow chart of the data processing method of multizone price in third early warning embodiment;
Fig. 8 is the structural block diagram of the data processing equipment of multizone price in one embodiment;
Fig. 9 is the structural block diagram of the data processing equipment of multizone price in another embodiment;
Figure 10 is the structural block diagram of the data processing equipment of multizone price in another embodiment;
Figure 11 is the structural block diagram of data reception module in one embodiment;
Figure 12 is the structural block diagram of computing module in one embodiment;
Figure 13 is the structural block diagram of warning module in one embodiment;
Figure 14 is the structural block diagram of the first prior-warning device of the data processing equipment of multizone price in one embodiment;
Figure 15 is the structural block diagram of the second prior-warning device of the data processing equipment of multizone price in one embodiment;
Figure 16 is the structural block diagram of the third prior-warning device of the data processing equipment of multizone price in one embodiment.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and It is not used in the restriction present invention.
It is appreciated that term " first " used in this application, " second " etc. can be used to describe herein various methods Or element, but such method or element are not limited by the term.Such term is only used for first element and another element It distinguishes.For example, in the case where not departing from scope of the present application, the first channel can be known as the second channel, and similar Second channel can be known as the first channel by ground.First channel and the second channel type both channel, but it is not same canal Road type, but data attribute is likely to be the same.
Deviation, each region historical data and new data, each region valence of invention thinking of the invention using setting Relationship between each channel of lattice and each region carries out three weight analysis architectural engineering price values, can be to architectural engineering Price fluctuation carries out accurate early warning, improves the objectivity of architectural engineering price fluctuation analysis, reminds user to Various types of data exception It is paid close attention to, then automatic processing or user is allowed to handle.
The data processing method of multizone price provided in the embodiment of the present invention can be applied to as shown in Figure 1 answer With in environment.With reference to Fig. 1, terminal 110 can be established by network and server 120 and be communicated to connect.Terminal 110 includes but is not limited to Mobile phone, tablet computer, personal digital assistant or desktop computer etc..Server 120 can be either multiple with independent server The server cluster of physical server composition.Terminal 110 can receive the phase of the architectural engineering price of each region multiple support channels Data are closed, and server 120 is sent to by communication connection.Can be stored in server 120 at the data of architectural engineering price The associated data of reason method or data Kuku, such as architectural engineering price history data or historical price database etc..Server 120 can also obtain price data from the related data that terminal 110 is sent, and are analyzed according to the price data and issue early warning.
As shown in Fig. 2, in one embodiment, providing a kind of computer equipment, which can be matched It is set to server 120.Wherein, the computer equipment include by system bus connect processor, non-volatile memory medium, Built-in storage and network interface.Wherein, the processor of the server supports entire terminal for providing calculating and control ability Operation.The non-volatile memory medium of the server is stored with operating system and computer executable instructions, which can hold Row instruction can be performed by processor, with a kind of data processing side of the multizone price provided for realizing following embodiment Method.The built-in storage provides the fortune of cache for the operating system in non-volatile memory medium, computer executable instructions Row environment.The network interface of the server be used for terminal 110 carry out network communication, as server 120 to receive terminal 110 The warning information of transmission.
It will be understood by those skilled in the art that structure shown in Figure 2, only part relevant to application scheme is tied The block diagram of structure, does not constitute the restriction for the server being applied thereon to application scheme, and specific server may include Than more or fewer components as shown in the figure, certain components are perhaps combined or with different component layouts.
[embodiment 1]
As shown in figure 3, for the flow chart of the data processing method of multizone price in one embodiment, this method is applied to Come in server shown in FIG. 1 for example, including the first number for obtaining each channel data of each attribute expense of the same area Warning step S304 is issued according to the second data S301, acquisition deviation and channel weighted value S302, calculating step S303.
Specifically, details are as follows for each step.
Obtain the first data and the second data S301 of each channel data of each attribute expense of the same area.
Due to this method application be for multiple regions, and first have to obtain be exactly each region data.The region It can be city, such as Beijing, Shenzhen, Shanghai etc..It is also possible to a region, such as Pearl River Delta region, Yangtze River Delta'Area, wide Buddhist starts region etc..In the same area, each region by there is multiple attribute expenses, the attribute expense be labour cost, fee of material, Machinery cost, administration fee rate, inventory row comprehensive unit price, partitioned project construction cost per square meter, construction unit construction cost per square meter or individual works Construction cost per square meter.
As described above, term " first " used in this application, " second " etc. can be used to describe herein various methods Or element, but such method or element are not limited by the term.First data and the second data are merely to describing and using.But one As for, the first data be historical data, the second data be new data.
Obtain deviation and channel weighted value S302.
The deviation of acquisition can be numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..It obtains Channel weighted value refer to the weight magnitude numerical value according to the channel data under each channel type, can be according to having for user Multiple meanings, such as weight height indicate confidence level size, such as the price data from government, with a high credibility, channel weight Value is exactly 10;From certain private data, for confidence level with regard to low, channel weighted value is exactly 1;From certain well-known real estate company's data, that Confidence level is just high, and channel weighted data is just 8.In previous example, channel weighted value can be up to 10, minimum 1.Another In one embodiment, channel weighted value can be obtained by complex method, for example can refer to the confidence level of channel data, stabilization Degree updates the attributes such as frequency mixing calculating and obtains.
Calculate step S303.
Calculating step S303, median needed for mainly being calculated according to the first data, the second data and channel weighted value. It is that median is calculated by the first data and the second data according to user demand difference herein.There are many kinds of calculation methods, can be with It is difference median, ratio median or data median by all kinds of means, is specifically shown in following each embodiment.
Issue warning step S304.
When the median being calculated be greater than deviation, issue warning information.That is, the wave of architectural engineering price Excessive, to fix greater than before deviation is moved, warning information is issued.
In one embodiment, after issuing warning information, function is calculated according to system onboard data and is counted again It calculates, and calculated result is covered into corresponding data.Historical data namely is covered with new data, as previously described, that is, second The first data of data cover.Can certainly by built-in function will calculating data relevant to the second data all change and Covering, that is to say, that volume of data related with new data all changes and covers.
And in another embodiment, after issuing warning information, receives artificial adjustment data and cover corresponding number According to.At this point, being only after issuing warning information, to be judged by user, if data occur and change.In some cases, Although being greater than deviation, judged by user experience, can modify decide whether to change by user entirely at this time without modification It is dynamic.
[embodiment 2]
As shown in figure 4, for the flow chart of the data processing method of multizone price in another embodiment, this method application Come in server shown in FIG. 1 for example, including obtain each channel data of each attribute expense of the same area first Data and the second data S401 obtain the first deviation, the second deviation and channel weighted value S402 of each channel, and first is pre- Alert to calculate step S403, which is greater than the first deviation, issues the first warning information S404.
This example place different from embodiment 1 is, obtains the first deviation, the second deviation and canal of each channel Road weighted value S402, the first early warning calculate step S403, which is greater than the first deviation, issue the first warning information Tri- steps of S404, specific details are as follows.
The first deviation, the second deviation and channel weighted value S402 of each channel are obtained,
Different from embodiment 1 in this case, deviation becomes the first deviation of each channel, the second deviation two A deviation.
First early warning calculates step S403.
In the step, the first data of each channel and the first median of the second data are calculated;It calculates in each first Between value be more than after the corresponding channel weighted value of the first deviation is multiplied with the first median summation obtain the second median.
Calculate each channel the first data and the second data difference the first median when, which can be Difference between first data and the second data, or ratio, this is related with deviation.As described in example 1 above, deviation Being worth can be numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..First median is that numeric type is inclined Difference or proportional-type deviation compare, then the first deviation is just difference or ratio, this is different embodiment.
At this point, finding out the biggish channel of undulating value by the first median and the first deviation.In some embodiment, Channel is region, such as Beijing, there is Dongcheng District, Xicheng District, Chaoyang District, Fengtai District, Shijingshan District, Haidian District, Shunyi District, Tongzhou Area, Daxing District, Fangshan District, Mentougou District, Changping District, Pinggu District, overcast area, Huairou District, 16, Yanqing area districts under city administration, that is, There are 16 channels.Channel in this 16 channels more than the first deviation is found out, each channel more than the first deviation Channel weighted value is multiplied with the first median, and then the corresponding product of each channel is summed again, which is Second median.As described above, having 5 area under one's jurisdictions to be above the first deviation in the area under one's jurisdiction of Beijing 16, each area under one's jurisdiction is exactly one A channel, then the weighted value in each area under one's jurisdiction is different, that is, channel weighted value is different.So the corresponding channel weight of each channel Value is multiplied with the first median, and then 5 products sum up again, which is just the second median.
When second median is greater than the second deviation, the first warning information S404 of sending.
At this point, being namely compared above-mentioned the second median being calculated with the second deviation, it is greater than second partially Difference then issues the first warning information.
[embodiment 3]
As shown in figure 5, for the flow chart of the data processing method of multizone price in another embodiment, this method application Come in server shown in FIG. 1 for example, including obtain each channel data of each attribute expense of the same area first Data and the second data S501 obtain the first deviation, the second deviation, third deviation and the channel weighted value of each channel S502, the first early warning calculate step S503, which is greater than the first deviation, issue the first warning information S504.
This example place different from embodiment 1 is, obtains the first deviation, the second deviation, of each channel Three deviations and channel weighted value S502, the first early warning calculate step S403, which is greater than the first deviation, issue First step of warning information S504 tri-, specific details are as follows.
The first deviation, the second deviation, third deviation and the channel weighted value S502 of each channel are obtained,
Different from embodiment 1 in this case, deviation becomes the first deviation of each channel, the second deviation, Three deviations of deviation three.
First early warning calculates step S503.
Calculate the first median between the second data of each channel and the first deviation;Calculate the first median of channel It obtains greater than the channel quantity of third deviation and the ratio of all channels beyond ratio value;It calculates beyond ratio value and corresponding canal Summation obtains the second median after the channel weighted value in road is multiplied.
Calculate each channel the first data and the second data the first median when, first median can be first Difference between data and the second data, or ratio, this is related with deviation.As described in example 1 above, deviation can Think numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..First median is numeric type deviation, Or proportional-type deviation compares, then third deviation is just difference or ratio, this is different embodiment.
At this point, finding out the biggish channel of undulating value by the first median and third deviation.In some embodiment, Channel is region, such as Beijing, there is Dongcheng District, Xicheng District, Chaoyang District, Fengtai District, Shijingshan District, Haidian District, Shunyi District, Tongzhou Area, Daxing District, Fangshan District, Mentougou District, Changping District, Pinggu District, overcast area, Huairou District, 16, Yanqing area districts under city administration, that is, There are 16 channels.Channel in this 16 channels more than third deviation is found out, the first median of channel is calculated and is greater than third The channel quantity of deviation and the ratio of all channels are obtained beyond ratio value;Calculate the channel for exceeding ratio value and corresponding channel Summation obtains the second median after weighted value is multiplied.In a certain embodiment, in the area under one's jurisdiction of Beijing 16, each area under one's jurisdiction is exactly one A channel, then the weighted value in each area under one's jurisdiction is different, that is, channel weighted value is different.And there are 10 sub- Channel Prices in every Dongcheng District To be calculated.If thering are 7 to have exceeded third deviation in the sub- Channel Price in Dongcheng District 10, at this time beyond than Example value is 7/10.At this point, Dongcheng District channel weighted value is 0.2, then it is 0.14 after the two is multiplied.In the present embodiment, Beijing is each There are 10 sub- Channel Prices in area under one's jurisdiction, and there is different channel weighted values in each area under one's jurisdiction, then each area under one's jurisdiction can calculate class Like the product value of Dongcheng District 0.14, that is, each channel beyond ratio value with after the multiplication of the channel weighted value of corresponding channel Value.In the present embodiment, 16 product values are just had, which are summed to obtain the second median, that is to say, that above-mentioned 16 products sum up again, which is just the second median.
When second median is greater than the second deviation, the first warning information S404 of sending.
At this point, being namely compared above-mentioned the second median being calculated with the second deviation, it is greater than second partially Difference then issues the second warning information.
[embodiment 4]
As shown in fig. 6, Fig. 6 is the flow chart of the data processing method of multizone price in another embodiment, this method Applied to coming in server shown in FIG. 1 for example, including obtaining each attribute expense of the same area each channel data First data and the second data S601, obtain the 4th deviation S602 of each region price, and the second early warning calculates step S603, the second early warning issue step S604.
Unlike the first embodiment, it is to have refined three steps below, is specifically exactly to obtain each region price 4th deviation S602, the second early warning calculate step S603, and the second early warning issues step S604.
Obtain the 4th deviation S602 of each region price.
The step mainly obtains the 4th deviation of each region price.
Second early warning calculates step S603.
At this point, being walked using the first data of each channel data of each attribute expense of the same area and the second data S601 The numerical value of each region the first data and the second data in rapid, according to two values calculate the first area price of each region with Second area price, the zone price are the multiple support channels data and channel of the same area of each attribute expense in each region Summing value after the multiplication of weighted value;Calculate the 4th median between first area price and second area price.
At this point, because being at this time in the same area., then, first data are exactly historical data, Second data are new data.Then according to the two data, first area price and second area price is calculated, that is, goes through History Beijing price and New Beijing price, so as to obtain the 4th median.The 4th median can be difference at this time, can also be with For ratio, this is related with deviation.As described in example 1 above, deviation can be numerical value, such as 2,10 equal numerical value, can also be with For ratio, 10%, 40% etc..4th median is that numeric type deviation or proportional-type deviation compare, then the 4th deviation It is just difference or ratio, this is different embodiment.
And zone price is the multiple support channels data and channel according to the same area of each attribute expense in each region Summing value after the multiplication of weighted value.Specifically, for example the same area, the region are Beijing.The attribute expense is labour cost, material Material takes, machinery cost, administration fee rate, inventory row comprehensive unit price, partitioned project construction cost per square meter, construction unit construction cost per square meter or individual event Engineering construction cost per square meter.It for example is labour cost.And it is also region channel that channel, which can be in a variety of meanings, such as the present embodiment,.Then There are Dongcheng District, Xicheng District, Chaoyang District, Fengtai District, Shijingshan District, Haidian District, Shunyi District, Tongzhou District, Daxing District, Fangshan in Beijing Area, Mentougou District, Changping District, Pinggu District, overcast area, Huairou District, 16, Yanqing area districts under city administration, that is, have 16 channels.And Each area under one's jurisdiction is exactly a channel, then the weighted value in each area under one's jurisdiction is different, that is, channel weighted value is different.And each area under one's jurisdiction Price also has difference, then the Dongcheng District the Dongcheng District labour cost price * channel weighted value+Xicheng District Xicheng District labour cost price * canal Road weighted value+... .. is added to always the Yanqing area labour cost Yanqing price * area channel weighted value, and the end value being added at this time is Zone price.
Second early warning issues step S604.
At this point, namely above-mentioned the 4th median being calculated is compared with the 4th deviation, among the 4th When value is greater than four deviations, the second warning information is issued.
[embodiment 5]
As shown in fig. 7, for the flow chart of the data processing method of multizone price in another embodiment, this method application Come in server shown in FIG. 1 for example, including obtain each channel data of each attribute expense of the same area first Data and the second data S701, one zone price of acquisition are benchmark area data S702, and third calculates step S703, and third is pre- It is alert to issue step S704.
Unlike the first embodiment, it is to have refined three steps below, is specifically exactly to obtain a zone price as base The 5th deviation S702 of each region except quasi- area data, reference area, third early warning calculate step S703, and third is pre- It is alert to issue step S704.
Obtain the 5th deviation S702 that a zone price is each region except benchmark area data, reference area.
This step obtains two class data, and one is exactly that a zone price is benchmark area data;Another kind of is exactly reference region 5th deviation of each region except domain.Reference area data are set by the user, such as on the basis of can be set as Beijing Region, then the price in other regions can all have the setting of a deviation with Beijing.
Third early warning calculates step S703.
In the step, or by the first data of each region and the second data calculate each region price.Specifically It is exactly that the first area price and second area price of each region are calculated with the first data of each region and the second data, it should After zone price is being multiplied of the multiple support channels data and channel weighted value of the same area of each attribute expense in each region Summing value.
Because there is reference area at this time, with regard to each region first area price except calculating benchmark region divided by benchmark First ratio value of region first area price, each region second area price except calculating benchmark region is divided by reference region Second ratio value of the second price value of domain.Specifically, first ratio value and the second ratio value are exactly a kind of coefficient, for example, Beijing is benchmark region, then it is then exactly to illustrate that Shenzhen zone price and Beijing Area's price, which obtain ratio, such as 1.2 after being divided by, Shenzhen zone price in the attributes price is 1.2 times of Beijing Area's price.Just as previously mentioned, the first data can be history Data, then the second data are new data, then what is calculated according to the first data is exactly historical proportion value, it can also be history Coefficient;What is calculated according to the second data is exactly new ratio value, can also new coefficient at last.
And the 5th median between the first ratio value and the second ratio value is calculated, it is exactly between history coefficient and new coefficient Comparison.The 5th median can be difference at this time, or ratio, this is related with deviation.As described in example 1 above, Deviation can be numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..5th median is numerical value Type deviation or proportional-type deviation compare, then the 5th deviation is just difference or ratio, this is different embodiment.
Third early warning issues step S704
At this point, namely above-mentioned the 5th median being calculated is compared with the 5th deviation, among the 5th When value is greater than five deviations, third warning information is issued.
Above five embodiments are all the preferred embodiments of the present application, specifically, embodiment 2, embodiment 3, reality Apply example 4, embodiment 5 be all embodiment 1 refinement scheme.And embodiment 3 is a refinement of embodiment 2.
It is warning information in embodiment 1, is exactly to issue the first warning information in embodiment 2, embodiment 3 is exactly second Warning information, embodiment 4 are exactly third warning information.As described above, term " first " used in this application, " second " etc. can Herein for describing various methods or element, but such method or element are not limited by the term.Come from different embodiments It says, the warning information, the first warning information, the second warning information and third warning information, can be identical, for example be all one Frame is jumped out in a warning, be also possible to it is different, although such as be that frame is jumped out in warning, the information of warning is different, specifically Zone price warning or ratio warning etc..In different embodiments of the invention, the information of all warnings all can be one A alert box, and according to different embodiments, it can be an alert box, or multiple alert boxes can also be warning The one or more combination of sound etc..
And according to technical combinations and development, it can be while embodiment 2, embodiment 3, embodiment 4, that is, three early warning Information has.It is also possible to implement respectively, each only one warning information of implementation.It can also be and be combined into group two-by-two Close, can be the combination of embodiment 2 Yu embodiment 3, it is possible to implement the combination of example 2 and embodiment 4, can also be embodiment 3 and The combination etc. of embodiment 4.And the above all kinds of combinations are all within the application protection scope.
[embodiment 6]
As shown in figure 8, to build the structural block diagram of the data processing equipment of multizone price in one embodiment.
A kind of data processing equipment 800 of multizone price, described device 800 include: data reception module 802, early warning Receiving module 804, computing module 806 and warning module 808, are described in detail below.
Data reception module 802.
Data reception module, for receiving the first data and second of each channel data of each attribute expense of the same area Data.
Due to present invention application be for multiple regions, and first have to obtain be exactly each region data.The region It can be city, such as Beijing, Shenzhen, Shanghai etc..It is also possible to a region, such as Pearl River Delta region, Yangtze River Delta'Area, wide Buddhist starts region etc..In the same area, by there is multiple attribute expenses, which is attribute expense behaviour in each region Expenses of labour, fee of material, machinery cost, administration fee rate, inventory row comprehensive unit price, partitioned project construction cost per square meter, construction unit folk prescription are made Valence or individual works construction cost per square meter.
As described above, term " first " used in this application, " second " etc. can be used to describe herein various methods Or element, but such method or element are not limited by the term.First data and the second data are merely to describing and using.But one As for, the first data be historical data, the second data be new data.
The deviation of acquisition can be numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..It obtains Channel weighted value refer to the weight magnitude numerical value according to the channel data under each channel type, can be according to having for user Multiple meanings, such as weight height indicate confidence level size, such as the price data from government, with a high credibility, channel weight Value is exactly 10;From certain private data, for confidence level with regard to low, channel weighted value is exactly 1;From certain well-known real estate company's data, that Confidence level is just high, and channel weighted data is just 8.In previous example, channel weighted value can be up to 10, minimum 1.Another In one embodiment, channel weighted value can be obtained by complex method, for example can refer to the confidence level of channel data, stabilization Degree updates the attributes such as frequency mixing calculating and obtains.
Early warning receiving module 804.
Early warning receiving module obtains deviation and channel weighted value for receiving.
Computing module 806.
Computing module, median needed for being calculated according to the first data and the second data.Mainly according to the first data and Median needed for two data calculate.It is that median is calculated by the first data and the second data according to user demand difference herein. Calculation method has in very much, can be specifically shown in following each reality with difference median, ratio median or data median by all kinds of means It applies in example.
Warning module 808.
Warning module, when the median is greater than deviation, sending warning information.
When the median being calculated be greater than deviation, issue warning information.That is, the wave of architectural engineering price Excessive, to fix greater than before deviation is moved, warning information is issued.
As shown in figure 9, for the structural block diagram of the data processing equipment of multizone price in another embodiment.In the implementation Further include an automatic regulating module 810 in example, after issuing warning information, function is calculated according to system onboard data and is carried out It recalculates, and calculated result is covered into corresponding data.Historical data namely is covered with new data, as previously mentioned, that is just It is second the first data of data cover.Calculating data relevant to the second data can certainly all be occurred by built-in function Change and cover, that is to say, that volume of data related with new data all changes and covers.
It as shown in Figure 10, is the structural block diagram of the data processing equipment of multizone price in another embodiment.This one It further include that a people receives artificial adjustment data and cover for adjustment module 812 after issuing warning information in a embodiment Corresponding data.At this point, being only after issuing warning information, to be judged by user, if data occur and change.Some In the case of, although being greater than deviation, judged by user experience, can modify determined entirely by user at this time without modification Whether change.
[embodiment 7]
As shown in Fig. 9, Figure 11, Figure 12, Figure 13, Fig. 9 is the data processing equipment of multizone price in one embodiment Structural block diagram;Figure 11 is the structural block diagram of data reception module in one embodiment;Figure 12 is computing module in one embodiment Structural block diagram;Figure 13 is the structural block diagram of warning module in one embodiment.
As shown in figure 8, a kind of data processing equipment 800 of multizone price, described device 800 includes: data reception Block 802, early warning receiving module 804, computing module 806 and warning module 808.
As shown in figure 11, which includes the first early warning receiving module 8041, the second early warning receiving module 8042 and third early warning receiving module 8043.
As shown in figure 12, which includes the first early warning computing module 8061, the second early warning computing module 8062 With third early warning computing module 8063.
As shown in figure 13, which includes the first early warning computing module 8081, the second early warning computing module 8082 With third early warning computing module 8083.
It in the present embodiment, as shown in figure 14, is first of the data processing equipment of multizone price in one embodiment The structural block diagram of prior-warning device.Compared to embodiment 6, other than the receipts module 802, which further includes One early warning receiving module 8041, the first early warning computing module 8061 and the first warning module 8081.
First early warning receiving module 8041, the first deviation, the second deviation and channel for receiving each channel are weighed Weight values.
First early warning computing module 8061 calculates the first median of the first data and the second data difference;Calculate first Median is more than the channel quantitative value of the first deviation, and summation obtains in second after channel quantitative value is multiplied with channel weighted value Between be worth.
Calculate each channel the first data and the second data the first median when, first median can be first Difference between data and the second data, or ratio, this is related with deviation.As described in example 1 above, deviation can Think numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..First median is numeric type deviation, Or proportional-type deviation compares, then the first deviation is just difference or ratio, this is different embodiment.
At this point, finding out the biggish channel of undulating value by the first median and the first deviation.In some embodiment, Channel is region, such as Beijing, there is Dongcheng District, Xicheng District, Chaoyang District, Fengtai District, Shijingshan District, Haidian District, Shunyi District, Tongzhou Area, Daxing District, Fangshan District, Mentougou District, Changping District, Pinggu District, overcast area, Huairou District, 16, Yanqing area districts under city administration, that is, There are 16 channels.Channel in this 16 channels more than the first deviation is found out, each channel more than the first deviation Channel weighted value is multiplied with the first median value, and then the corresponding product of each channel is summed again, the summing value For the second median.As described above, having 5 area under one's jurisdictions to be above the first deviation in the area under one's jurisdiction of Beijing 16, each area under one's jurisdiction is exactly One channel, then the weighted value in each area under one's jurisdiction is different, that is, channel weighted value is different.So the corresponding channel power of each channel Weight values are multiplied with the first median, and then 5 products sum up again, which is just the second median.
First warning module 8081, when second median is greater than the first deviation, the first warning information of sending.
At this point, being namely compared above-mentioned the second median being calculated with the second deviation, it is greater than second partially Difference then issues the first warning information.
In another embodiment, the first early warning receiving module 8041, for receive each channel the first deviation, Two deviations, third deviation and channel weighted value and the multiple sub- Channel Prices of the second data.
First early warning computing module 8061 calculates the every sub- Channel Price and the first deviation of the second data of each channel The first median between value;Calculate sub- Channel Price number of first median greater than third deviation and all sub- channels The ratio of number is obtained beyond ratio value;After the channel weighted value multiplication beyond ratio value and corresponding channel for calculating each channel Summation obtains the second median.
Calculate every sub- channel the second data and the first deviation the first median when, which can be Difference between first data and the second data, or ratio, this is related with deviation.As described in example 1 above, deviation Being worth can be numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..First median is that numeric type is inclined Difference or proportional-type deviation compare, then the first median is just difference or ratio, this is different embodiment.
At this point, finding out the biggish channel of undulating value by the first median and third deviation.In some embodiment, Channel is region, such as Beijing, there is Dongcheng District, Xicheng District, Chaoyang District, Fengtai District, Shijingshan District, Haidian District, Shunyi District, Tongzhou Area, Daxing District, Fangshan District, Mentougou District, Changping District, Pinggu District, overcast area, Huairou District, 16, Yanqing area districts under city administration, that is, There are 16 channels.Channel in this 16 channels more than third deviation is found out, the first median of channel is calculated and is greater than third The channel quantity of deviation and the ratio of all channels are obtained beyond ratio value;Calculate the channel for exceeding ratio value and corresponding channel Summation obtains the second median after weighted value is multiplied.In a certain embodiment, in the area under one's jurisdiction of Beijing 16, each area under one's jurisdiction is exactly one A channel, then the weighted value in each area under one's jurisdiction is different, that is, channel weighted value is different.And there are 10 sub- Channel Prices in every Dongcheng District To be calculated.If thering are 7 to have exceeded third deviation in the sub- Channel Price in Dongcheng District 10, at this time beyond than Example value is 7/10.At this point, Dongcheng District channel weighted value is 0.2, then it is 0.14 after the two is multiplied.In the present embodiment, Beijing is each There are 10 sub- Channel Prices in area under one's jurisdiction, and there is different channel weighted values in each area under one's jurisdiction, then each area under one's jurisdiction can calculate class Like the product value of Dongcheng District 0.14, that is, each channel beyond ratio value with after the multiplication of the channel weighted value of corresponding channel Value.In the present embodiment, 16 product values are just had, which are summed to obtain the second median, that is to say, that above-mentioned 16 products sum up again, which is just the second median.
First warning module 8081 when second median is greater than the second deviation, issues the first warning information.
At this point, being namely compared above-mentioned the second median being calculated with the second deviation, it is greater than second partially Difference then issues the second warning information.
[embodiment 8]
As shown in Fig. 9, Figure 11, Figure 12, Figure 13, Fig. 9 is the data processing equipment of multizone price in one embodiment Structural block diagram;Figure 11 is the structural block diagram of data reception module in one embodiment;Figure 12 is computing module in one embodiment Structural block diagram;Figure 13 is the structural block diagram of warning module in one embodiment.
As shown in figure 8, a kind of data processing equipment 800 of multizone price, described device 800 includes: data reception Block 802, early warning receiving module 804, computing module 806 and warning module 808.
As shown in figure 11, which includes the first early warning receiving module 8041, the second early warning receiving module 8042 and third early warning receiving module 8043.
As shown in figure 12, which includes the first early warning computing module 8061, the second early warning computing module 8062 With third early warning computing module 8063.
As shown in figure 13, which includes the first early warning computing module 8081, the second early warning computing module 8082 With third early warning computing module 8083.
It in the present embodiment, as shown in figure 15, is second of the data processing equipment of multizone price in one embodiment The structural block diagram of prior-warning device.Compared to embodiment 6, other than the receipts module 802, which further includes Two early warning receiving modules 8042, the second early warning computing module 8062 and the second warning module 8082.
Second early warning receiving module 8042, for receiving the 4th deviation for obtaining each region price.
Second early warning computing module 8062 calculates firstth area of each region with the first data of each region and the second data Domain price and second area price, the zone price are the multiple support channels number of the same area of each attribute expense in each region According to summing value after being multiplied of channel weighted value;Calculate the 4th median between first area price and second area price.
At this point, because being at this time in the same area., then, first data are exactly historical data, Second data are new data.Then according to the two data, first area price and second area price is calculated, that is, goes through History Beijing price and New Beijing price, so as to obtain the 4th median.The 4th median can be difference at this time, can also be with For ratio, this is related with deviation.As described in example 1 above, deviation can be numerical value, such as 2,10 equal numerical value, can also be with For ratio, 10%, 40% etc..4th median is that numeric type deviation or proportional-type deviation compare, then the 4th median It is just difference or ratio, this is different embodiment.
And zone price is the multiple support channels data and channel according to the same area of each attribute expense in each region Summing value after the multiplication of weighted value.Specifically, for example the same area, the region are Beijing.The attribute expense is that the attribute takes With for labour cost, fee of material, machinery cost, administration fee rate, inventory row comprehensive unit price, partitioned project construction cost per square meter, construction unit Construction cost per square meter or individual works construction cost per square meter.It for example is labour cost.And channel can be to go back in a variety of meanings, such as the present embodiment For region channel.Then Beijing have Dongcheng District, Xicheng District, Chaoyang District, Fengtai District, Shijingshan District, Haidian District, Shunyi District, Tongzhou District, Daxing District, Fangshan District, Mentougou District, Changping District, Pinggu District, overcast area, Huairou District, 16, Yanqing area districts under city administration, that is, have 16 channels.And each area under one's jurisdiction is exactly a channel, then the weighted value in each area under one's jurisdiction is different, that is, channel weighted value is different. And the price in each area under one's jurisdiction also has difference, then the Dongcheng District Dongcheng District labour cost price * channel weighted value+Xicheng District labour cost valence The Xicheng District lattice * channel weighted value+... .. is added to always the Yanqing area labour cost Yanqing price * area channel weighted value, is added at this time The end value arrived is zone price.
Second warning module 8082 issues the second warning information when the 4th median is greater than four deviations.
[embodiment 9]
As shown in Fig. 9, Figure 11, Figure 12, Figure 13, Fig. 9 is the data processing equipment of multizone price in one embodiment Structural block diagram;Figure 11 is the structural block diagram of data reception module in one embodiment;Figure 12 is computing module in one embodiment Structural block diagram;Figure 13 is the structural block diagram of warning module in one embodiment.
As shown in figure 8, a kind of data processing equipment 800 of multizone price, described device 800 includes: data reception Block 802, early warning receiving module 804, computing module 806 and warning module 808.
As shown in figure 11, which includes the first early warning receiving module 8041, the second early warning receiving module 8042 and third early warning receiving module 8043.
As shown in figure 12, which includes the first early warning computing module 8061, the second early warning computing module 8062 With third early warning computing module 8063.
As shown in figure 13, which includes the first warning module 8081, the second warning module 8082 and third Warning module 8083.
It in the present embodiment, as shown in figure 16, is the third of the data processing equipment of multizone price in one embodiment The structural block diagram of prior-warning device.Compared to embodiment 6, other than the receipts module 802, which further includes Two early warning receiving modules 8043, the second early warning computing module 8063 and the second warning module 8083.
Third early warning receiving module 8043, for receive a zone price be benchmark area data and reference area it 5th deviation of outer each region;
Third early warning computing module 8063 calculates firstth area of each region with the first data of each region and the second data Domain price and second area price, the zone price are the multiple support channels number of the same area of each attribute expense in each region According to summing value after being multiplied of channel weighted value;Each region first area price except calculating benchmark region is divided by reference region First ratio value of domain first area price, each region second area price except calculating benchmark region is divided by reference area Second ratio value of the second price value;Calculate the 5th median between the first ratio value and the second ratio value.
Because there is reference area at this time, with regard to each region first area price except calculating benchmark region divided by benchmark First ratio value of region first area price, each region second area price except calculating benchmark region is divided by reference region Second ratio value of the second price value of domain.Specifically, first ratio value and the second ratio value are exactly a kind of coefficient, for example, Beijing is benchmark region, then it is then exactly to illustrate that Shenzhen zone price and Beijing Area's price, which obtain ratio, such as 1.2 after being divided by, Shenzhen zone price in the attributes price is 1.2 times of Beijing Area's price.Just as previously mentioned, the first data can be history Data, then the second data are new data, then what is calculated according to the first data is exactly historical proportion value, it can also be history Coefficient;What is calculated according to the second data is exactly new ratio value, can also new coefficient at last.
And the 5th median between the first ratio value and the second ratio value is calculated, it is exactly between history coefficient and new coefficient Comparison.The 5th median can be difference at this time, or ratio, this is related with deviation.As described in example 1 above, Deviation can be numerical value, such as 2,10 equal numerical value, or ratio, 10%, 40% etc..5th median is numerical value Type deviation or proportional-type deviation compare, then deviation is just difference or ratio, this is different embodiment.
Third warning module 8083 issues third warning information when the 5th median is greater than five deviations.This When, that is, above-mentioned the 5th median being calculated is compared with the 5th deviation, it is greater than the 5th in the 5th median When deviation, third warning information is issued.
It is warning information in embodiment 6, is exactly to issue the first warning module in embodiment 7, embodiment 8 is exactly second Warning module, embodiment 9 are exactly third warning module.As described above, term " first " used in this application, " second " etc. can Herein for describing various methods or element, but such method or element are not limited by the term.Come from different embodiments It says, the warning information, the first warning module, the second warning module and third warning module, the output information of each module can be with Be identical, for example be all that frame is jumped out in warning, be also possible to it is different, although such as be that frame is jumped out in warning, it is alert The information of announcement is different, specifically zone price warning or ratio warning etc..Certainly can also all warnings information it is all alert It accuses, but a big alert box can be jumped out, different alert boxes etc. can also be jumped out.
And according to technical combinations and development, it can be while embodiment 7, embodiment 8, embodiment 9, that is, three early warning Information has.It is also possible to implement respectively, each only one warning information of implementation.It can also be and be combined into group two-by-two Close, can be the combination of embodiment 7 Yu embodiment 8, it is possible to implement the combination of example 7 and embodiment 9, can also be embodiment 8 and The combination etc. of embodiment 9.And the above all kinds of combinations are all within the application protection scope.
To sum up, data processing method, device, storage medium and the computer equipment of above-mentioned multizone price, passes through setting Relationship between each region historical data and new data, each channel of each region price and each region, by interior It sets all kinds of deviations and carries out early warning, carry out three weight analysis architectural engineering price values, the price fluctuation of architectural engineering can be carried out quasi- True early warning improves the objectivity of architectural engineering price fluctuation analysis, reminds user to pay close attention to Various types of data extremely, then automatically Change processing or user is allowed to handle, improves user experience.
Modules in the above-mentioned data processing equipment for building multizone price can fully or partially through software, hardware and A combination thereof is realized.Above-mentioned each module can be embedded in the form of hardware or independently of in the memory of terminal, can also be with software Form is stored in the memory of terminal, executes the corresponding operation of the above modules in order to which processor calls.The processor It can be central processing unit (CPU), microprocessor, single-chip microcontroller etc..
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, the journey Performed the steps of when sequence is executed by processor obtain each channel data of each attribute expense of the same area the first data and Second data;Obtain deviation and channel weighted value;Median needed for being calculated according to the first data and the second data;The median Greater than deviation, warning information is issued.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the program can be stored in a non-volatile computer and can be read In storage medium, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage is situated between Matter can be magnetic disk, CD, read-only memory (Read-Only Memory, ROM) etc..
Each technical characteristic of embodiment described above can be combined arbitrarily, for simplicity of description, not to above-mentioned reality It applies all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited In contradiction, all should be considered as described in this specification.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art It says, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection of the invention Range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.

Claims (20)

1. a kind of data processing method of multizone price, which is characterized in that this method comprises:
Obtain the first data and the second data of each channel data of each attribute expense of the same area;
Obtain deviation and channel weighted value;
Median needed for being calculated according to the first data, the second data, channel weighted value;
When the median is greater than deviation, warning information is issued.
2. data processing method according to claim 1, which is characterized in that this method includes
Obtain the first data and the second data of each channel data of each attribute expense of the same area;
Obtain the first deviation, the second deviation and channel weighted value of each channel;
Calculate the first median between the first data of each channel and the second data;It is big to calculate each the first median of channel Summation obtains the second median after the corresponding channel weighted value of the first deviation is multiplied with the first median;
When second median is greater than the second deviation, the first warning information is issued.
3. data processing method according to claim 1, which is characterized in that this method includes
Obtain the first data and the second data of each channel data of each attribute expense of the same area;
The first deviation, the second deviation, third deviation and channel weighted value and the second data for obtaining each channel are more A sub- Channel Price;
Calculate the first median between every sub- Channel Price of the second data of each channel and the first deviation;Calculate the One median is greater than the sub- Channel Price number of third deviation and the ratio of the number of all sub- channels is obtained beyond ratio value; Calculate each channel obtains the second median with summation after the multiplication of the channel weighted value of corresponding channel beyond ratio value;
When second median is greater than the second deviation, the first warning information is issued.
4. data processing method according to claim 1 to 3, which is characterized in that this method further include:
Obtain the 4th deviation of each region price;
The first area price and second area price of each region, the area are calculated with the first data of each region and the second data Domain price is to ask after being multiplied of the multiple support channels data and channel weighted value of the same area of each attribute expense in each region And value;
Calculate the 4th median between first area price and second area price;
When 4th median is greater than four deviations, the second warning information is issued.
5. data processing method according to claim 1 to 3, which is characterized in that this method further include:
Obtaining a zone price is benchmark area data;
Obtain the 5th deviation of each region except reference area;
The first area price and second area price of each region, the area are calculated with the first data of each region and the second data Domain price is to ask after being multiplied of the multiple support channels data and channel weighted value of the same area of each attribute expense in each region And value;
Each region first area price except calculating benchmark region divided by reference area first area price the first ratio Value, each region second area price except calculating benchmark region divided by the second price value of reference area the second ratio value;
Calculate the 5th median between the first ratio value and the second ratio value;
When 5th median is greater than five deviations, third warning information is issued.
6. data processing method according to claim 4, which is characterized in that this method further include:
Obtaining a zone price is benchmark area data;
Obtain the 5th deviation of each region except reference area;
The first area price and second area price of each region, the area are calculated with the first data of each region and the second data Domain price is to ask after being multiplied of the multiple support channels data and channel weighted value of the same area of each attribute expense in each region And value;
Each region first area price except calculating benchmark region divided by reference area first area price the first ratio Value, each region second area price except calculating benchmark region divided by the second price value of reference area the second ratio value;
Calculate the 5th median between the first ratio value and the second ratio value;
When 5th median is greater than five deviations, third warning information is issued.
7. data processing method according to claim 1 or 6, which is characterized in that after issuing warning information, according to being System onboard data calculates function and is recalculated, and calculated result is covered corresponding data.
8. data processing method according to claim 1 or 6, which is characterized in that after issuing warning information, recipient To adjust data and covering corresponding data.
9. data processing method according to claim 1, which is characterized in that the attribute expense is labour cost, fee of material, machine Tool takes, administration fee rate, inventory row comprehensive unit price, partitioned project construction cost per square meter, construction unit construction cost per square meter or individual works list Square cost.
10. a kind of data processing equipment of multizone price, which is characterized in that the device includes:
Data reception module, for receiving the first data and the second number of each channel data of each attribute expense of the same area According to;
Early warning receiving module obtains deviation and channel weighted value for receiving;
Computing module, median needed for being calculated according to the first data, the second data and channel weighted value;
Warning module, when the median is greater than deviation, sending warning information.
11. data processing equipment according to claim 10, which is characterized in that the device further include:
First early warning receiving module, for receiving the first deviation, the second deviation and channel weighted value of each channel;
First early warning computing module calculates the first data of each channel and the first median of the second data difference;It calculates every A first median is more than to sum to obtain in second after the channel weighted value of the channel of the first deviation is multiplied with the first median Between be worth;
First warning module, second median are greater than the second deviation, issue the first warning information.
12. data processing equipment according to claim 10, which is characterized in that the device further includes
First early warning receiving module, for receiving the first deviation, the second deviation, third deviation and the channel of each channel Weighted value and the multiple sub- Channel Prices of the second data;
First early warning computing module calculates between every sub- Channel Price of the second data of each channel and the first deviation First median;Calculate ratio of first median greater than the sub- Channel Price number of third deviation and the number of all sub- channels Value is obtained beyond ratio value;Calculate obtaining beyond summing after ratio value and the multiplication of the channel weighted value of corresponding channel for each channel Second median;
First warning module when second median is greater than the second deviation, issues the first warning information.
13. any data processing equipment in 0-12 according to claim 1, which is characterized in that the device further include:
Second early warning receiving module, for receiving the 4th deviation for obtaining each region price;
Second early warning computing module, with the first data of each region and the second data calculate each region first area price and Second area price, the zone price are the multiple support channels data and channel of the same area of each attribute expense in each region Summing value after the multiplication of weighted value;Calculate the 4th median between first area price and second area price;
Second warning module issues the second warning information when the 4th median is greater than four deviations.
14. any data processing equipment in 0-12 according to claim 1, which is characterized in that the device further include:
Third early warning receiving module is each except benchmark area data and reference area for receiving a zone price 5th deviation in region;
Third early warning computing module, with the first data of each region and the second data calculate each region first area price and Second area price, the zone price are the multiple support channels data and channel of the same area of each attribute expense in each region Summing value after the multiplication of weighted value;Each region first area price except calculating benchmark region is divided by the firstth area of reference area First ratio value of domain price, each region second area price except calculating benchmark region is divided by the second price of reference area Second ratio value of value;Calculate the 5th median between the first ratio value and the second ratio value;
Third warning module issues third warning information when the 5th median is greater than five deviations.
15. data processing equipment according to claim 10, which is characterized in that the device further include:
Third early warning receiving module is each except benchmark area data and reference area for receiving a zone price 5th deviation in region;
Third early warning computing module, with the first data of each region and the second data calculate each region first area price and Second area price, the zone price are the multiple support channels data and channel of the same area of each attribute expense in each region Summing value after the multiplication of weighted value;Each region first area price except calculating benchmark region is divided by the firstth area of reference area First ratio value of domain price, each region second area price except calculating benchmark region is divided by the second price of reference area Second ratio value of value;Calculate the 5th median between the first ratio value and the second ratio value;
Third warning module issues third warning information when the 5th median is greater than five deviations.
16. the data processing equipment according to claim 9 or 11, which is characterized in that further include an automatic regulating module, In After issuing warning information, function is calculated according to system onboard data and is recalculated, and calculated result is covered corresponding Data.
17. the data processing equipment according to claim 9 or 11, which is characterized in that further include a people to adjust module, use In after issuing warning information, the artificial adjustment data of reception simultaneously cover corresponding data.
18. data processing equipment according to claim 1, which is characterized in that the attribute expense be labour cost, fee of material, Machinery cost, administration fee rate, inventory row comprehensive unit price, partitioned project construction cost per square meter, construction unit construction cost per square meter or individual works Construction cost per square meter.
19. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor The step of data processing method described in any one of claim 1 to 9 is realized when execution.
20. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor Calculation machine program, which is characterized in that the processor is realized at data described in any one of claim 1 to 9 when executing the program The step of reason method.
CN201910081280.6A 2019-01-28 2019-01-28 Data processing method, device, storage medium and the computer equipment of multizone price Pending CN110428275A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106920068A (en) * 2017-01-19 2017-07-04 国家电网公司 Electricity power engineering pricing management of the one kind based on big data and " internet+"
CN107464019A (en) * 2017-08-02 2017-12-12 余安 A kind of financial events method for early warning
CN108416007A (en) * 2018-02-28 2018-08-17 山东汇贸电子口岸有限公司 A kind of implementation method applied to high low price early warning business model on the line of scenic spot

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106920068A (en) * 2017-01-19 2017-07-04 国家电网公司 Electricity power engineering pricing management of the one kind based on big data and " internet+"
CN107464019A (en) * 2017-08-02 2017-12-12 余安 A kind of financial events method for early warning
CN108416007A (en) * 2018-02-28 2018-08-17 山东汇贸电子口岸有限公司 A kind of implementation method applied to high low price early warning business model on the line of scenic spot

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