CN109711719A - A kind of engineering material data monitoring method, device, terminal device and storage medium - Google Patents
A kind of engineering material data monitoring method, device, terminal device and storage medium Download PDFInfo
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Abstract
The invention discloses a kind of engineering material data monitoring method, device, mobile terminal and storage mediums, method includes, obtain several first material datas, and identified, obtain standard material title, standard specification model, standard unit, material price, quotation time, supplier and the brand of every one first material data；Obtain user behavior data；It, the attention rate of every one first material data is calculated according to user behavior data；It is more than the first material data of the first preset threshold by attention rate, as material data to be monitored, sets the monitor control index of each material data to be monitored, and early warning is carried out according to preset early warning rule.Automatically platform data can be monitored by implementing the embodiment of the present invention, and carry out early warning, save manpower.
Description
Technical field
The present invention relates to construction industry data analysis fields, and in particular to a kind of engineering material data monitoring method, device,
Terminal device and storage medium.
Background technique
The core business data of project cost big data platform are engineering material data, the quality and reasonability of material data
Directly affect the experience of user.In order to better meet user data demand, in the prior art, it usually needs configure a large amount of people
Member goes to collect user demand, data is audited, to judge the material number for meeting user demand in platform in existing material data
According to, i.e., user pay close attention to high material data the quality of data it is whether up to standard, and perform corresponding processing, to pass through artificial side
Formula realizes the monitoring to engineering material data, but it is a large amount of to realize that the monitoring to platform data needs to expend by artificial mode
Manpower and low efficiency.
Summary of the invention
The embodiment of the present invention provides monitoring method, device, terminal device and the storage medium of a kind of engineering material data, energy
Attention rate, integrity degree, reasonability and the timeliness of enough compound material data, are automatically monitored platform data, and carry out
Early warning.
First embodiment of the invention provides the monitoring method of an engineering kind material data, comprising: obtains several first materials
Data, and several first material datas are identified, the standard material title of each first material data of acquisition,
Standard specification model, standard unit, material price, quotation time, supplier and brand；
Obtain user behavior data；Wherein, the user behavior data includes that user executes search, coordination valence, collection, importing
With data when inquiry operation；
According to the user behavior data, calculate the search number of users of each first material data, coordination valence number of users,
Collect number of users and inquiry number of users；Then, according to the search number of users of each first material data, coordination valence number of users,
Collection number of users and number of users of inquiring the price calculate the attention rate of each first material data；
It is more than the first material data of the first preset threshold by attention rate, as material data to be monitored；
By the field integrity degree of each material data to be monitored, as each material data to be monitored of assessment
The index of integrality；By the material price of each material data to be monitored, as each material number to be monitored of assessment
According to rational index；Each material data to be monitored is obtained into the quotation time, it is each described to be monitored as assessing
The index of the timeliness of material data；
Integrality, reasonability and the timeliness of each material data to be monitored are assessed, and according to preset pre- police regulations
Then carry out early warning.
Further, the integrality of each material data to be monitored is assessed by the following method:
A material data to be monitored of data integrity will be needed to assess, as the first material data to be assessed；
Judge whether all fields of the described first material data to be assessed have data value, if it exists not no data value
Field then judges that the described first material data to be assessed is imperfect, otherwise rationally.
Further, the reasonability of each material data to be monitored is assessed by the following method:
The material data to be monitored of assessment material data rational one will be needed, as the second material data to be assessed；
It will be all the same with the standard material title, standard specification model and standard unit of the described second material data to be assessed
Data to be monitored, as material data to be compared；
According to the material price of all material datas to be compared, the average price of the material data to be compared is calculated
Tendency；
If the material price of second material data to be assessed, not in the default fluctuation range of the average price tendency
It is interior, then judge that the material data to be assessed is unreasonable, otherwise rationally.
Further, the timeliness of each material data to be monitored is assessed by the following method:
A material data to be monitored of assessment material data age will be needed, as third material data to be assessed；
Obtain the assessment initial time for beginning the evaluation at third material data timeliness to be assessed；
Calculate it is described assessment initial time and third material data to be assessed the quotation time, between time difference,
Obtain interval duration；
The interval duration is updated duration with preset material to be compared, if the interval duration is described preset
Material updates within the scope of duration, then judges that third material data to be assessed has timeliness, otherwise do not have timeliness；Its
In, the renewal frequency of the preset material a length of every kind of material price when updating.
It is further, described that early warning is carried out according to preset early warning rule, specifically:
If the material data to be monitored is imperfect, field data supplements early warning；
If the material data to be monitored is unreasonable, material price abnormity early warning is carried out；
If the material data to be monitored does not have timeliness,
On the basis of first embodiment of the invention, second embodiment is provided；
Second embodiment of the invention provides a kind of engineering material data monitoring device, including data acquisition module, user
Behavioral data acquisition module, attention rate computing module, material data determining module to be monitored, monitor control index determining module and early warning
Module；
Wherein, the data acquisition module, for obtaining several first material datas, and to several first material numbers
According to being identified, standard material title, the standard specification model, standard unit, material of each first material data are obtained
Price, quotation time, supplier and brand；
The user behavior data acquisition module, for obtaining user behavior data；Wherein, the user behavior data packet
Include data when user executes search, coordination valence, collection, importing and inquiry operation；
The attention rate computing module, for calculating each first material data according to the user behavior data
Search number of users, coordination valence number of users, collection number of users and inquiry number of users；Then, according to each first material data
Search number of users, coordination valence number of users, collection number of users and number of users of inquiring the price calculate the concern of each first material data
Degree；
The material data determining module to be monitored, for being more than the first material number of the first preset threshold by attention rate
According to as material data to be monitored；
The monitor control index determining module, for by the field integrity degree of each material data to be monitored, as commenting
Estimate the index of the integrality of each material data to be monitored；By the material price of each material data to be monitored, make
For the rational index for assessing each material data to be monitored；When each material data to be monitored is obtained quotation
Between, the index as the timeliness for assessing each material data to be monitored；
The warning module, for assessing integrality, reasonability and the timeliness of each material data to be monitored, and
Early warning is carried out according to preset early warning rule.
On the basis of first embodiment of the invention, 3rd embodiment is provided；
Third embodiment of the invention provides a kind of setting of terminal, including processor, memory and is stored in described deposit
In reservoir and it is configured as the computer program executed by the processor, it is real that the processor, which executes the computer program,
Now such as the engineering material data monitoring method of first embodiment of the invention offer.
On the basis of first embodiment of the invention, fourth embodiment is provided；
Fourth embodiment of the invention provides a kind of computer readable storage medium, which is characterized in that the computer can
Read the computer program that storage medium includes storage, wherein control in computer program operation described computer-readable
Equipment where storage medium executes the engineering material data monitoring method that first embodiment of the invention provides.
By implementing the embodiment of the present invention, have the advantages that:
The embodiment of the invention provides a kind of engineering material data monitoring method, device, terminal device and storage mediums, lead to
It crosses and obtains several first material data standard material titles, standard specification model, standard unit, material price, the quotation time, supplies
Data when quotient and brand and user being answered to execute search, coordination valence, collection, importing and inquiry operation；Calculate each first material
Expect search number of users, coordination valence number of users, collection number of users and the inquiry number of users of data；Then, according to each first material
Expect that search number of users, coordination valence number of users, collection number of users and the inquiry number of users of data calculate each first material data
Attention rate；It is more than the first material data of the first preset threshold by attention rate, as material data to be monitored；Assess each institute
The integrality, reasonability and timeliness of material data to be monitored are stated, and early warning is carried out according to preset early warning rule, to realize
Automatically platform data is monitored, early warning reduces human cost, improves monitoring efficiency.
Detailed description of the invention
Fig. 1 is a kind of flow diagram for engineering material data monitoring method that first embodiment of the invention provides；
Fig. 2 is a kind of structural schematic diagram for engineering material data set that first embodiment of the invention provides；
Description of symbols: data acquisition module 201, user behavior data acquisition module 202, attention rate computing module
203, material data determining module 204 to be monitored, monitor control index determining module 205 and warning module 206.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, first embodiment of the invention provide a kind of engineering material data monitoring method comprising steps of
S101, several first material datas are obtained, and several first material datas is identified, obtain each institute
State the standard material title of the first material data, standard specification model, standard unit, material price, the quotation time, supplier and
Brand.
S102, user behavior data is obtained；Wherein, the user behavior data includes that user executes search, coordination valence, receipts
Hiding, the data for importing and inquiring the price when operating.
S103, according to the user behavior data, calculate the search number of users of each first material data, coordination valence is used
Amount, collection number of users and inquiry number of users；Then, it is used according to the search number of users of each first material data, coordination valence
Amount, collection number of users and number of users of inquiring the price calculate the attention rate of each first material data.
S104, be more than by attention rate the first preset threshold the first material data, as material data to be monitored.
S105, by the field integrity degree of each material data to be monitored, as assessing each material to be monitored
The index of the integrality of data；It is each described to be monitored as assessing by the material price of each material data to be monitored
The rational index of material data；Each material data to be monitored is obtained into the quotation time, it is each described as assessing
The index of the timeliness of material data to be monitored.
Integrality, reasonability and the timeliness of S106, each material data to be monitored of assessment, and according to preset pre-
Police regulations then carry out early warning.
Several engineering material data are obtained for step S101, from engineering material data service platform or system, as
First material data, wherein each engineering material data include but is not limited to following field: title material, specifications and models, list
Position, material price, quotation time, supplier and brand；
Due to some the first material datas in platform, title material, specifications and models, unit are not enough standardized, it is therefore desirable to
Carry out data processing to the first material data, to identify the standard material title of the first material data, standard specification type
Number and standard unit.
Preferably, as follows to the specific processing mode of the first material data:
Engineering material data category intelligent recognition model is constructed, for the title material according to different engineering material, identification
Classification belonging to engineering material, wherein material classification is with " GB/T 50851-2013 construction project artificial material plant machinery number
According to standard " subject to the secondary classification of (abbreviation national standard),
The several classes of other specific building modes of intelligent recognition model of engineering material are as follows:
Step 1, if obtaining dry substance training sample and testing of materials sample, material training sample has national standard secondary classification
Coding and its corresponding title material (national standard secondary classification title), testing of materials sample only has title material.
Step 2 segments the title material in testing of materials sample, and with the word in the deactivated dictionary put in order
Remittance is matched；The stop words in title material is deleted, realizes the cleaning to title material；
Due to the testing of materials sample data collected from each source, corresponding title material names the rule of not standard
Model, therefore some specifications, material and brand type data are often added in title material, need to arrange to it.
Stop words, which refers to, identifies nonsensical word to material classification, also referred to as invalid word.Deactivated vocabulary is commonly to deactivate
It also added some expression material specifications on the basis of vocabulary, quantity+unit and bracket are the symbol etc. of representative；Such as:
Step 3, the material training sample corresponding to national standard secondary classification coding carries out word segmentation processing respectively, and to point
Word carries out duplicate removal；The word left is the keyword of the category, these crucial phrases are synthesized combination of materials title of all categories, crucial
The frequency that word occurs is higher, and weight is higher, such as:
Step 4 calculates the testing of materials sample material title after cleaning and material training by co-occurrence similarity algorithm
The similarity factor of sample keyword combination title；For testing of materials sample A and testing of materials sample B, similarity factor k's is specific
Calculation formula is such as
Step 5 sets the threshold value of similarity factor as 0.3；Similarity factor is corresponding greater than 0.3 material training sample
National standard secondary classification is considered as the candidate categories of testing of materials sample；
Step 6 is selected all samples for belonging to candidate categories by step 5, establishes characteristic key words and material text
Matrix, use information gain method extract key feature.
The calculation formula of information gain is as follows
P (ci) indicates that the probability that i-th of classification Ci occurs, p (t) indicate the probability that key feature t occurs；P (ci/t) table
When showing that key feature t occurs, the probability of Ci appearance；It is ranked up according to each feature IG value, takes preceding 2/3 characteristic key words to be used as and divide
Class keywords.
Step 7: choosing Bernoulli Jacob's model foundation NB classifier (bayesian algorithm)；The list of feature values in Bernoulli Jacob's model
Show that phrase occurs in material text or do not occur.Material text is short text；The Bayes classifier of Bernoulli Jacob's model is suitble to
The data classification of discrete features；Each feature value in Bernoulli Jacob's model is only 1 or 0: if phrase goes out in material text
Existing, characteristic value is identified as 1；If phrase does not occur in material text, characteristic value is identified as 0.
Training sample has n feature, and x1, x2 ... xn is used to indicate respectively；A possibility that being then divided into class yk
When feature is 1, p (xi | yk)=p (xi=1 | yk)
When characteristic value is 0, p (xi | yk)=1-p (xi=1 | yk)
So far engineering material classification intelligent recognition model building finishes, and by the first material data, is input to the work built
In journey material classification intelligent recognition model, the title of the first material data is identified.
After the title for identifying the first material data, also need identification the first material data standard specification signal and
Standard unit；
Preferably, engineering material characteristics extraction model is first constructed, specific construction step is as follows
Step 1: collecting finishing engineering material data, engineering material corpus is constructed.
By adjusting data format, engineering material data are integrated；It is formed special by title material, material specification/model/material
The engineering material corpus of sign, unit and the entry of other special descriptions composition.The engineering material data in different channel sources
Data format it is inconsistent, acquire each calculation and valuation software, the material mechanical device data in projects, inquiry material data,
Supplier's quote data is as preliminary data.Data are collected materials as preliminary data from major website by crawlers.
Step 2: gather data and finishing engineering material participle dictionary, construct dictionary for word segmentation
Into search dog dictionary, downloading computer, electric power electric, electronic engineering, material science, chemical industry, environmental energy, building
Wait the relevant multiple specialized dictionaries of engineering material；Merge each specialized dictionary and duplicate removal, then carry out string matching with corpus, deletes
Except the participle that it fails to match, other participles constitute the participle of final dictionary.Again by " GB/T 50851-2013 construction project is artificial
Material installation mechanical data standard " first-level class title, secondary classification title and the other materials title that refers to be added point
Dictionary forms final dictionary for word segmentation.The material of engineering material under the national standard secondary classification of internet publication is collected using web crawlers
Features, the units such as material title, material specification model constitute initial title material dictionary, material characteristics dictionary and unit dictionary.,
Dictionary for word segmentation is imported into participle tool, engineering material corpus is segmented, and carries out part-of-speech tagging part of speech classification packet automatically
Include title, verb, quantifier, adjective, secondary shape word；Participle tool is Ansj, and part-of-speech tagging uses Chinese Academy of Sciences's standard.
Step 3: being labeled in conjunction with dictionary and rule matching method to the material characteristics of participle, engineering material sample is completed
This building.
Step 4: the feature of 3 different Stochastic Conditions fields is formulated according to the difference of the participle attributive character of choosing input,
The data for choosing 70% from engineering material sample at random, go out different pattern dies using different special template trainings respectively
Plate；
Step 5: the material characteristics prediction segmented is tied by the data input model of engineering material sample residual 30%
Fruit selects optimal engineering material characteristics extraction model.
So far engineering material characteristics extraction model construction terminates.
By the model, the standard specification signal of the first material data of acquisition and standard unit, and the first material data
Material price, quotation time, supplier and brand field remain unchanged.
Such as: the initial title material of the first material data is that " full plastic power cable " specification is " 120mm2Two cores
VV ", unit are " rice " then by that can obtain following result after data processing:
Standard material title: power cable
Standard specification model: 1. nominal sections: 120mm2,2. core numbers: 2 cores, 3. insulating materials: polyvinyl chloride, 4. sheaths
Material: polyvinyl chloride, 5. voltage ratings: 1.00KV, 6. models: VV
Standard unit: rice
When for step S102, the execution search for obtaining system or platform user, coordination valence, collection, importing and inquiry operation
Data, then matched with every one first material data, so that it may obtain every one first material data in the preset time
Search number of users, coordination valence number of users, collection number of users and inquiry number of users in section, then calculate each the first material number
According to attention rate.
Preferably, the calculation method of the attention rate of every one first material data is as follows:
By search number of users, coordination valence number of users, collection number of users and the inquiry direct phase of number of users in the preset period
Add, obtains the attention rate of every one first material data.Wherein, the preset period can arbitrarily set, and such as one week.
For step S103, first preset threshold may be set according to actual conditions, when every one first material data
Attention rate, when surpassing the first preset threshold, being considered as the first material data of this is the data that most users are paid close attention to,
It needs emphasis to be safeguarded, each the first material data more than the first preset threshold is all set as material data to be monitored.
For the monitor control index of step S104, each material data to be monitored of setting, main integrality, reasonability and timeliness
Property is as main monitor control index.Whether each each field of material data to be monitored of integrality primary concern has corresponding value.
Whether the material price of each material data to be monitored of reasonability primary concern is reasonable, to consider each material data to be monitored
Reasonability.Timeliness, the timeliness of each material data material price to be monitored of primary concern.It is assessed in terms of these three
The quality of data of each material data to be monitored safeguards the low-quality data of data in real time
Preferably, the integrality of each material data to be monitored is assessed by the following method:
A material data to be monitored of data integrity will be needed to assess, as the first material data to be assessed；
Judge whether all fields of the first material data to be assessed have data value, if it exists the not no word of data value
Section, then judge that the first material data to be assessed is imperfect, otherwise rationally.
Preferably, the reasonability of each material data to be monitored is assessed by the following method:
The material data to be monitored of assessment material data rational one will be needed, as the second material data to be assessed；
By with all the same its of the standard material title, standard specification model and standard unit of the second material data to be assessed
Remaining data to be monitored, as material data to be compared；
According to the material price of all material datas to be compared, the average price tendency of material data to be compared is calculated；
If the material price of the second material data to be assessed is then sentenced not in the default fluctuation range of average price tendency
Material data to be assessed of breaking is unreasonable, otherwise rationally.
Preferably, the timeliness of each material data to be monitored is assessed by the following method:
A material data to be monitored of assessment material data age will be needed, as third material data to be assessed；
Obtain the assessment initial time for beginning the evaluation at third material data timeliness to be assessed；
Calculate assessment initial time and third material data to be assessed the quotation time, between time difference, be spaced
Duration；
Interval duration is updated duration with preset material to be compared, if interval duration updates duration in preset material
In range, then judges that third material data to be assessed has timeliness, otherwise do not have timeliness；Wherein, preset material is more
The renewal frequency of a length of every kind of material price when new.For example, the material price amplitude of fluctuation of dark fund material is big, just updated every several days
Hereinafter, update within such as 2 days it is primary, if user, in the time assessed, quotation time with material, the time difference is more than 2 days,
Then illustrate the data does not have timeliness, needs to carry out the update of data.
For step S105, preferably: if material data to be monitored is imperfect, field data supplements early warning；Prompt is used
The field of corresponding material data missing to be monitored is improved at family
If material data to be monitored is unreasonable, material price abnormity early warning is carried out, user is prompted to change material valence in time
Lattice；
If material data to be monitored does not have timeliness, carries out material price and update early warning, user is prompted to timely update
Material price.
On the basis of first embodiment of the invention, correspondence provides second embodiment.
As shown in Figure 2: it includes: the present invention that second embodiment of the invention, which provides a kind of engineering material data monitoring device,
Two embodiments provide a kind of engineering material data monitoring device, including data acquisition module 201, user behavior data acquire mould
Block 202, attention rate computing module 203, material data determining module 204 to be monitored, monitor control index determining module 205 and early warning mould
Block 206；
Wherein, data acquisition module 201, for obtaining several first material datas, and to several first material datas into
Row identification, obtains standard material title, the standard specification model, standard unit, material price, quotation of every one first material data
Time, supplier and brand；
User behavior data acquisition module 202, for obtaining user behavior data；Wherein, user behavior data includes using
Family executes data when search, coordination valence, collection, importing and inquiry operation；
Attention rate computing module 203, for calculating the search user of every one first material data according to user behavior data
Number, coordination valence number of users, collection number of users and inquiry number of users；Then, according to the search number of users of every one first material data, match
Valence number of users, collection number of users and number of users of inquiring the price calculate the attention rate of every one first material data；
Material data determining module 204 to be monitored, for being more than the first material data of the first preset threshold by attention rate,
As material data to be monitored；
Monitor control index determining module 205, it is each as assessing for by the field integrity degree of each material data to be monitored
The index of the integrality of material data to be monitored；It is each wait supervise as assessing by the material price of each material data to be monitored
Control the rational index of material data；Each material data to be monitored is obtained into the quotation time, it is each to be monitored as assessing
The index of the timeliness of material data；
Warning module 206, for assessing integrality, reasonability and the timeliness of each material data to be monitored, and according to
Preset early warning rule carries out early warning.
On the basis of first embodiment of the invention, 3rd embodiment is provided；
Third embodiment of the invention provides a kind of setting of terminal, including processor, memory and is stored in memory
In and be configured as the computer program executed by processor, processor, which executes computer program, to be realized as the present invention first is real
The engineering material data monitoring method of example offer is provided.
On the basis of first embodiment of the invention, fourth embodiment is provided；
Fourth embodiment of the invention provides a kind of computer readable storage medium, which is characterized in that computer-readable to deposit
Storage media includes the computer program of storage, wherein in computer program operation where control computer readable storage medium
Equipment execute first embodiment of the invention provide engineering material data monitoring method.
By implementing the embodiment of the present invention, have the advantages that:
The embodiment of the invention provides a kind of engineering material data monitoring method, device, terminal device and storage mediums, lead to
It crosses and obtains several first material data standard material titles, standard specification model, standard unit, material price, the quotation time, supplies
Data when quotient and brand and user being answered to execute search, coordination valence, collection, importing and inquiry operation；Calculate every one first material number
According to search number of users, coordination valence number of users, collection number of users and inquiry number of users；Then, according to every one first material data
Search number of users, coordination valence number of users, collection number of users and number of users of inquiring the price calculate the attention rate of every one first material data；It will
Attention rate is more than the first material data of the first preset threshold, as material data to be monitored；Assess each material number to be monitored
According to integrality, reasonability and timeliness, and according to preset early warning rule carry out early warning, thus realize automatically to platform data
It is monitored, early warning reduces human cost, improves monitoring efficiency.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein being used as separate part description
Module may or may not be physically separated, the component shown as module may or may not be
Physical module, it can it is in one place, or may be distributed on multiple network modules.It can be according to the actual needs
Some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention is implemented
In example attached drawing, the connection relationship between module indicates there is communication connection between them, specifically can be implemented as one or more
Communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand and real
It applies.
It is the preferred embodiment of the present invention above, it is noted that for those skilled in the art,
Various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as this hair
Bright protection scope.
Claims (8)
1. a kind of engineering material data monitoring method characterized by comprising
Several first material datas are obtained, and several first material datas are identified, obtain each first material
Expect standard material title, standard specification model, standard unit, material price, quotation time, supplier and the brand of data；
Obtain user behavior data；Wherein, the user behavior data includes that user executes search, coordination valence, collection, importing and inquiry
Data when valence operates；And according to the user behavior data, calculates the search number of users of each first material data, matches
Valence number of users, collection number of users and inquiry number of users；Then, according to the search number of users of each first material data, match
Valence number of users, collection number of users and number of users of inquiring the price calculate the attention rate of each first material data；
It is more than the first material data of the first preset threshold by attention rate, as material data to be monitored；
By the field integrity degree of each material data to be monitored, as the complete of each material data to be monitored of assessment
The index of property；By the material price of each material data to be monitored, as each material data to be monitored of assessment
Rational index；Each material data to be monitored is obtained into the quotation time, as each material to be monitored of assessment
The index of the timeliness of data；
Assess integrality, reasonability and the timeliness of each material data to be monitored, and according to preset early warning rule into
Row early warning.
2. engineering material data monitoring method as described in claim 1, which is characterized in that assess each institute by the following method
State the integrality of material data to be monitored:
A material data to be monitored of data integrity will be needed to assess, as the first material data to be assessed；
Judge whether all fields of the described first material data to be assessed have data value, if it exists the not no word of data value
Section, then judge that the described first material data to be assessed is imperfect, otherwise rationally.
3. engineering material data monitoring method as described in claim 1, which is characterized in that assess each institute by the following method
State the reasonability of material data to be monitored:
The material data to be monitored of assessment material data rational one will be needed, as the second material data to be assessed；
By with the standard material title, standard specification model and standard unit of the described second material data to be assessed it is all the same to
Monitoring data, as material data to be compared；
According to the material price of all material datas to be compared, the average price for calculating the material data to be compared is walked
Gesture；
If the material price of second material data to be assessed, not in the default fluctuation range of the average price tendency,
Then judge that the material data to be assessed is unreasonable, otherwise rationally.
4. engineering material data monitoring method as described in claim 1, which is characterized in that assess each institute by the following method
State the timeliness of material data to be monitored:
A material data to be monitored of assessment material data age will be needed, as third material data to be assessed；
Obtain the assessment initial time for beginning the evaluation at third material data timeliness to be assessed；
Calculate it is described assessment initial time and third material data to be assessed the quotation time, between time difference, acquisition
It is spaced duration；
The interval duration is updated duration with preset material to be compared, if the interval duration is in the preset material
It updates within the scope of duration, then judges that third material data to be assessed has timeliness, otherwise do not have timeliness；Wherein,
The renewal frequency of the preset material a length of every kind of material price when updating.
5. the engineering material data monitoring method as described in claim 1-4 any one, which is characterized in that the basis is default
Early warning rule carry out early warning, specifically:
If the material data to be monitored is imperfect, field data supplements early warning；
If the material data to be monitored is unreasonable, material price abnormity early warning is carried out；
If the material data to be monitored does not have timeliness, carries out material price and update early warning.
6. a kind of engineering material data monitoring device, which is characterized in that acquire mould including data acquisition module, user behavior data
Block, attention rate computing module, material data determining module to be monitored, monitor control index determining module and warning module；
Wherein, the data acquisition module, for obtaining several first material datas, and to several first material datas into
Row identification, obtain the standard material title of each first material data, standard specification model, standard unit, material price,
Quotation time, supplier and brand；
The user behavior data acquisition module, for obtaining user behavior data；Wherein, the user behavior data includes using
Family executes data when search, coordination valence, collection, importing and inquiry operation；
The attention rate computing module, for calculating searching for each first material data according to the user behavior data
Rope number of users, coordination valence number of users, collection number of users and inquiry number of users；Then, searching according to each first material data
Rope number of users, coordination valence number of users, collection number of users and number of users of inquiring the price calculate the attention rate of each first material data；
The material data determining module to be monitored is made for being more than the first material data of the first preset threshold by attention rate
For material data to be monitored；
The monitor control index determining module, it is every as assessment for by the field integrity degree of each material data to be monitored
The index of the integrality of one material data to be monitored；By the material price of each material data to be monitored, as commenting
Estimate the rational index of each material data to be monitored；Each material data to be monitored is obtained into the quotation time,
Index as the timeliness for assessing each material data to be monitored；
The warning module, for assessing integrality, reasonability and the timeliness of each material data to be monitored, and according to
Preset early warning rule carries out early warning.
7. a kind of setting of terminal, including processor, memory and storage in the memory and are configured as by described
The computer program that device executes is managed, it is to realize such as claim 1-5 any one that the processor, which executes the computer program,
The engineering material data monitoring method.
8. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program, wherein the equipment where controlling the computer readable storage medium in computer program operation executes such as
Engineering material data monitoring method described in any one of claim 1-5.
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