CN117829648A

CN117829648A - Exhibition engineering intelligent monitoring method, system and medium based on big data

Info

Publication number: CN117829648A
Application number: CN202311791118.6A
Authority: CN
Inventors: 吴小文
Original assignee: Guangzhou Gaoyi Chuangzhan Exhibition Engineering Co ltd
Current assignee: Guangzhou Gaoyi Chuangzhan Exhibition Engineering Co ltd
Priority date: 2023-12-25
Filing date: 2023-12-25
Publication date: 2024-04-05
Anticipated expiration: 2043-12-25
Also published as: CN117829648B

Abstract

The embodiment of the application provides a display engineering intelligent monitoring method, system and medium based on big data. The method comprises the following steps: acquiring the exhibition construction characteristic data and exhibition stand exhibition preset data of each exhibition stand in an exhibition area, performing model processing to obtain data such as exhibition investment capacity, exhibition stand capacity series and the like, respectively processing the acquired exhibition operation characteristic data of each exhibition stand to obtain data such as exhibition sales heat efficiency, exhibition sales heat efficiency and the like, performing model evaluation processing to obtain an exhibition effect evaluation index, processing related data of a plurality of peripheral exhibition stands of each exhibition stand to obtain an exhibition area exhibition sales contribution index, and performing aggregation correction processing on the exhibition effect evaluation index of each exhibition stand, the exhibition area exhibition sales contribution index and the historical exhibition sales average correction coefficient obtained through historical sample data processing to obtain an exhibition effect evaluation correction index, and comparing and judging the exhibition engineering effect by a threshold; therefore, the technology for processing the information data of the exhibition projects through the big data to evaluate the exhibition project effect of the exhibition area is realized.

Description

Exhibition engineering intelligent monitoring method, system and medium based on big data

Technical Field

The application relates to the field of big data and exhibition, in particular to an exhibition engineering intelligent monitoring method, system and medium based on big data.

Background

The exhibition is an important form of trade activities, is an important means for driving regional trade development, is a large project comprising a plurality of elements such as exhibition construction, exhibition layout, exhibition stand design, facility layout materials, safety protection, income expectation and cost budget, and has large differences in design implementation and expected planning of the exhibition project due to the differentiation of different exhibition stands, and how to evaluate the effective data of the exhibition plan, layout and effect by collecting the information of the exhibition is an important core of the exhibition engineering activities of the exhibition, but does not have a large data technology capable of performing data processing and exhibition effect evaluation through various information of the exhibition engineering at present.

In view of the above problems, an effective technical solution is currently needed.

Disclosure of Invention

The embodiment of the application aims to provide a display project intelligent monitoring method, system and medium based on big data, and a technology for evaluating the performance of the display project in a display area by processing information data of the display project through the big data.

The embodiment of the application also provides an exhibition engineering intelligent monitoring method based on big data, which comprises the following steps:

the method comprises the steps of obtaining exhibition project construction information and exhibition platform exhibition construction preset information of each exhibition platform in a type exhibition area, and respectively extracting exhibition construction characteristic data and exhibition platform exhibition preset data according to the exhibition project construction information and the exhibition platform exhibition construction preset information;

processing according to the exhibition construction characteristic data and exhibition stand exhibition preset data through a preset exhibition element evaluation model to respectively obtain exhibition input force data, exhibition stand capacity level data, exhibition stand safety pre-estimated data and exhibition stand exhibition cost data;

collecting exhibition operation engineering record information of each exhibition stand in an exhibition period, wherein the exhibition operation engineering record information comprises exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition revenue information, and extracting corresponding exhibition operation characteristic data;

according to the exhibition running characteristic data, the exhibition input force data, the exhibition stand capacity series data, the exhibition stand safety pre-estimated data and the exhibition stand cost data are respectively combined and processed through a preset exhibition effect evaluation model to obtain exhibition and sales heat efficiency data, exhibition and security income data, exhibition running cost data and exhibition and sales effect data;

Processing according to the corresponding exhibition heat efficiency data, exhibition safety income data and exhibition sales efficiency data of a single exhibition stand through a preset exhibition effect evaluation model to obtain an exhibition effect evaluation index;

according to the exhibition effect evaluation index of the single exhibition stand, the exhibition stand capacity series data, the exhibition marketing heat efficiency data and the exhibition marketing harvest efficiency data of a plurality of peripheral exhibition stands in the same exhibition area are combined for processing, and a corresponding exhibition area exhibition marketing contribution index is obtained;

collecting and processing a plurality of historical exhibition input force data, historical exhibition platform capacity series data and historical exhibition security income data and historical exhibition marketing efficiency data of a plurality of exhibition platforms of the same type of historical sample exhibition areas as the exhibition areas in a plurality of historical same exhibition periods through a preset exhibition historical database, and obtaining the historical exhibition marketing efficiency correction coefficients of the same type of exhibition areas;

and carrying out aggregation correction processing according to the display effect evaluation indexes of all the display stands in the type display area, combining the display sales contribution indexes of the type display area and the historical display sales average effect correction coefficients to obtain the display effect evaluation correction indexes of the type display area, comparing the display effect evaluation indexes with corresponding preset display effect evaluation thresholds, and judging the display effects of display projects of all the display stands in the type display area.

Optionally, in the big data-based exhibition project intelligent monitoring method according to the embodiment of the present application, the acquiring the exhibition project construction information and the exhibition stand exhibition project preset information of each exhibition stand in the type exhibition area, and extracting the exhibition construction feature data and the exhibition stand exhibition preset data according to the exhibition project construction information and the exhibition stand exhibition project preset information respectively includes:

acquiring exhibition project construction information and exhibition platform exhibition project preset information of each exhibition platform in a type exhibition area;

the exhibition project construction information comprises exhibition importance information, exhibition area position centrality information, exhibition stand area occupation ratio information, facility material type information, rent cost information, exhibition stand facility cost information, construction period information and construction labor cost information;

the exhibition stand exhibition project preset information comprises exhibition stand exhibition product propaganda information, exhibition stand exhibition cost information, preset capacity flow information, exhibition product marketing expected information and preset security level information;

extracting exhibition construction characteristic data according to the exhibition project construction information, wherein the exhibition construction characteristic data comprises exhibition item importance data, exhibition area position centrality data, exhibition stand area occupation ratio data, facility material type data, rent cost data, exhibition stand facility cost data, construction period data and construction labor cost data;

And extracting exhibition platform exhibition layout preset data according to the exhibition platform exhibition engineering preset information, wherein the exhibition platform exhibition input data, the exhibition platform exhibition cost data, the preset capacity flow data, the exhibition product marketing expected data and the preset security level data are included.

Optionally, in the big data-based exhibition engineering intelligent monitoring method according to the embodiment of the present application, the processing according to the exhibition construction feature data and the exhibition stand exhibition preset data through the preset exhibition element evaluation model respectively obtains exhibition input force data, exhibition stand capacity level data, exhibition stand safety pre-estimation data and exhibition stand exhibition cost data, including:

processing the exhibition stand exhibition propaganda input data and the exhibition marketing expected data through a preset exhibition element evaluation model according to the exhibition importance data to obtain exhibition input force data;

processing the exhibition area center data, the exhibition platform area occupation ratio data and the preset volume flow data through a preset exhibition element evaluation model to obtain exhibition platform volume series data;

processing the preset capacity flow data and the preset security level data through a preset exhibition element evaluation model according to the facility material type data to obtain exhibition stand safety estimated data;

And processing the display cost data by combining the lease cost data, the display facility cost data and the construction labor cost data with the display cost data through a preset display element evaluation model to obtain the display cost data.

Optionally, in the big data based exhibition engineering intelligent monitoring method according to the embodiment of the present application, the collecting exhibition operation engineering record information of each exhibition stand in an exhibition period includes exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition revenue information, and extracting corresponding exhibition operation feature data includes:

collecting exhibition operation engineering record information of each exhibition stand in an exhibition period, wherein the exhibition operation engineering record information comprises exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition revenue information;

extracting the heat data of interest of the exhibits and the evaluation scoring data of the exhibits according to the exhibition evaluation information;

extracting security accident level data, exhibit loss data and insurance claim data according to the exhibition security event log information;

asset consumption data, display article consumption data and display energy consumption data are extracted according to the display consumption information;

And extracting order sales data and intention sales data according to the exhibition information.

Optionally, in the big data-based exhibition engineering intelligent monitoring method according to the embodiment of the present application, the processing is performed by combining the exhibition input force data, the exhibition stand capacity level data, the exhibition stand safety pre-estimation data and the exhibition stand cost data through a preset exhibition effect evaluation model according to the exhibition operation feature data, to obtain exhibition heat efficiency data, exhibition safety benefit data, exhibition operation cost data and exhibition expense efficiency data, including:

processing the exhibition object attention heat data and the exhibition stand evaluation scoring data through a preset exhibition effect evaluation model according to the exhibition investment force data to obtain exhibition and sales heat efficiency data;

processing the exhibition stand capacity series data in combination with the exhibition article attention heat data and the order sales data through a preset generation effect evaluation model to obtain exhibition and sales heat efficiency data;

processing the safety accident grade data, the exhibit loss data and the insurance claim amount data according to the exhibition stand safety estimated data through a preset exhibition effect evaluation model to obtain exhibition safety income data;

Processing the asset consumption data, the display article consumption data and the display energy consumption data according to the spread cost data through a preset spread effect evaluation model to obtain spread operation cost data;

and processing the exhibition operation cost data, the order sales amount data and the intention signing sales amount data according to the exhibition marketing expected data through a preset exhibition effect evaluation model to obtain exhibition marketing effect data.

Optionally, in the big data-based exhibition engineering intelligent monitoring method according to the embodiment of the present application, the displaying and marketing heat efficiency data, displaying and marketing security benefit data and displaying and marketing heat efficiency data corresponding to a single exhibition stand are processed through a preset displaying and marketing effect evaluation model, so as to obtain a displaying and marketing effect evaluation index, including:

processing the display effect evaluation model according to the display heat efficiency data, the display safety income data and the display heat efficiency data corresponding to the single display platform to obtain a display effect evaluation index corresponding to the single display platform;

the evaluation calculation formula of the exhibition effect evaluation index is as follows:

Wherein B is _g To evaluate the index of the exhibition effect, f _E 、m _D 、r _Y 、b _Q Respectively, the heat of sale and the heat of sale are the heat of sale and the heat of saleEfficiency data, exhibition security income data and exhibition marketing income data, wherein omega is a preset characteristic coefficient

Optionally, in the big data based exhibition engineering intelligent monitoring method according to the embodiment of the present application, the processing according to the exhibition effect evaluation index of the single exhibition stand by combining the exhibition stand capacity level data, the exhibition marketing heat efficiency data and the exhibition marketing harvest efficiency data of a plurality of peripheral exhibition stands in the same exhibition area to obtain the corresponding exhibition area exhibition marketing contribution index includes:

processing according to the exhibition effect evaluation index of the single exhibition stand and the exhibition stand capacity series data, exhibition marketing heat efficiency data and exhibition marketing harvest efficiency data of a plurality of peripheral exhibition stands of the same exhibition area of the single exhibition stand to obtain an exhibition area exhibition marketing contribution index of the single exhibition stand;

the calculation formula of the exhibition area exhibition contribution index is as follows:

wherein,contribution index for exhibition area and sales, B _g For evaluating index of exhibition effect, e _σi 、m _Di 、b _Qi The display system comprises display platform capacity series data, display marketing heat efficiency data and display marketing income efficiency data of the ith peripheral display platform, wherein n is the number of the peripheral display platforms, and sigma is a preset characteristic coefficient.

Optionally, in the big data based exhibition engineering intelligent monitoring method according to the embodiment of the present application, the collecting, by a preset exhibition history database, a plurality of historical exhibition investment force data, historical exhibition stage capacity progression data, historical exhibition security income data and historical exhibition marketing effect data of a plurality of exhibition stands of a historical sample exhibition area of the same type as the exhibition area in a plurality of historical same exhibition periods, and processing the historical exhibition sales effect correction coefficients of the same type of exhibition areas, includes:

collecting a historical sample exhibition area which is the same as the exhibition area through a preset exhibition history database;

extracting a plurality of historical exhibition input force data, historical exhibition stand capacity series data and historical exhibition security income data and historical exhibition marketing income data of a plurality of exhibition stands of the historical sample exhibition area in a plurality of historical same exhibition periods;

processing according to the plurality of historical exhibition input force data, the historical exhibition stand capacity series data, the historical exhibition security income data and the historical exhibition marketing efficiency data to obtain the historical exhibition marketing efficiency correction coefficient of the same type of exhibition area;

the calculation formula of the historical sales average effect correction coefficient is as follows:

Wherein R is _τ Correction coefficient for historical display and sales uniformity, c _ωjs 、e _σjs 、r _Yjs 、b _Qjs The exhibition input force data, exhibition stand capacity series data, exhibition security income data and exhibition marketing income effect data of the j-th exhibition stand of the historical samples of the same type exhibition area in the s-th historical exhibition period are respectively obtained, m is the number of exhibition stands of the historical samples of the exhibition area, k is the number of the historical exhibition periods, and eta is a preset characteristic coefficient.

Optionally, in the big data based intelligent monitoring method for exhibition projects according to the embodiment of the present application, the aggregating and correcting process is performed according to the exhibition effect evaluation index of each exhibition stand in the type exhibition area in combination with the exhibition area exhibition sales contribution index and the historical exhibition sales average effect correction coefficient, so as to obtain the exhibition effect evaluation correction index of the type exhibition area, and the exhibition project exhibition effects of all the exhibition stands in the type exhibition area are judged by comparing with a corresponding preset exhibition effect evaluation threshold, including:

performing aggregation correction processing according to the exhibition effect evaluation indexes of the exhibition stands in the type exhibition area, the exhibition sales contribution indexes of the exhibition areas and the historical exhibition sales average effect correction coefficients to obtain the exhibition effect evaluation correction indexes of the type exhibition area in the exhibition period;

Threshold comparison is carried out according to the generation-participation evaluation correction index and a preset generation-participation evaluation threshold corresponding to the type exhibition area, and the generation participation of the exhibition engineering of all exhibition stands in the type exhibition area is judged according to a threshold comparison result;

the calculation formula of the generation effect evaluation correction index is as follows:

wherein,evaluating a correction index for the generation of the participation, B _gr 、/>Respectively evaluating index of exhibition effect of the R-th exhibition stand in the type exhibition area and contribution index of exhibition area exhibition and R _τ For the correction coefficient of the historical exhibition efficiency, q is the number of exhibition stands contained in the type exhibition area, and delta and χ are preset characteristic coefficients.

In a second aspect, embodiments of the present application provide a big data based intelligent monitoring system for exhibition projects, the system comprising: the system comprises a memory and a processor, wherein the memory comprises a program of the intelligent monitoring method of the exhibition engineering based on big data, and the program of the intelligent monitoring method of the exhibition engineering based on big data realizes the following steps when being executed by the processor:

In a third aspect, an embodiment of the present application further provides a computer readable storage medium, where the computer readable storage medium includes a big data based intelligent monitoring method program for exhibition projects, where when the big data based intelligent monitoring method program for exhibition projects is executed by a processor, the steps of the big data based intelligent monitoring method for exhibition projects are implemented.

As can be seen from the above, according to the large data-based exhibition engineering intelligent monitoring method, system and medium provided by the embodiments of the present application, the exhibition engineering construction information and exhibition stand distribution engineering preset information of each exhibition stand in an exhibition area are obtained, the exhibition construction characteristic data and the exhibition stand distribution preset data are extracted, the exhibition input force data, the exhibition stand capacity progression data, the exhibition stand safety prediction data and the exhibition stand expansion cost data are obtained through the preset exhibition element evaluation model processing, the exhibition operation characteristic data extracted by combining the acquired exhibition operation engineering record information of each exhibition stand are respectively processed to obtain exhibition heat efficiency data, exhibition safety gain data, exhibition operation cost data and exhibition sales efficiency data, the exhibition effect evaluation index is obtained through the preset exhibition effect evaluation model processing, and then the exhibition effect contribution index of each exhibition stand is combined in the relevant data processing of a plurality of peripheral exhibition stands in the same exhibition area according to the exhibition effect evaluation index of a single exhibition stand, and the history sample area of the acquired history sample is obtained according to the data processing of a plurality of time periods, and the history sample area of the history sample expansion coefficient is corrected according to the obtained by combining the exhibition effect correction index of the exhibition effect of each exhibition area in the exhibition area; therefore, the technology for processing the information data of the exhibition projects through the big data to evaluate the exhibition project effect of the exhibition area is realized.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the application. The objects and other advantages of the present application may be realized and attained by the structure particularly pointed out in the written description and drawings.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flowchart of a big data based intelligent monitoring method for exhibition projects provided in an embodiment of the present application;

fig. 2 is a flowchart of acquiring exhibition construction feature data and exhibition stand exhibition preset data according to the big data-based exhibition engineering intelligent monitoring method provided in the embodiment of the application;

fig. 3 is a flowchart of obtaining data such as exhibition input force data and exhibition stand capacity level data according to the method for intelligently monitoring exhibition works based on big data provided in the embodiment of the application;

Fig. 4 is a flowchart of acquiring exhibition operation engineering record information and corresponding exhibition operation characteristic data according to the large data-based exhibition engineering intelligent monitoring method provided in the embodiment of the present application;

fig. 5 is a flowchart of obtaining data such as display heat efficiency data, and the like according to the big data-based display engineering intelligent monitoring method provided by the embodiment of the application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.

It should be noted that like reference numerals and letters refer to like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.

Referring to fig. 1, fig. 1 is a flowchart of an exhibition engineering intelligent monitoring method based on big data in some embodiments of the present application. The exhibition engineering intelligent monitoring method based on the big data is used in terminal equipment, such as a computer, a mobile phone terminal and the like. The exhibition engineering intelligent monitoring method based on big data comprises the following steps:

s11, acquiring exhibition project construction information and exhibition stand exhibition construction preset information of each exhibition stand in a type exhibition area, and respectively extracting exhibition construction characteristic data and exhibition stand exhibition preset data according to the exhibition project construction information and the exhibition stand exhibition construction preset information;

s12, processing according to the exhibition construction characteristic data and exhibition stand exhibition preset data through a preset exhibition element evaluation model to respectively obtain exhibition input force data, exhibition stand capacity level data, exhibition stand safety estimated data and exhibition stand exhibition cost data;

S13, acquiring exhibition operation engineering record information of each exhibition stand in an exhibition period, wherein the exhibition operation engineering record information comprises exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition revenue information, and extracting corresponding exhibition operation characteristic data;

s14, respectively combining the exhibition input force data, the exhibition stand capacity series data, the exhibition stand safety pre-estimation data and the exhibition stand cost data according to the exhibition running characteristic data, and processing through a preset exhibition effect evaluation model to obtain exhibition and sales heat efficiency data, exhibition and safety income data, exhibition running cost data and exhibition and sales income efficiency data;

s15, processing the display effect evaluation model according to the display heat efficiency data, the display safety income data and the display heat efficiency data corresponding to the single display platform to obtain a display effect evaluation index;

s16, according to the exhibition effect evaluation index of the single exhibition stand, the exhibition stand capacity series data, the exhibition marketing heat efficiency data and the exhibition marketing income efficiency data of a plurality of peripheral exhibition stands in the same exhibition area are combined for processing, and a corresponding exhibition area marketing contribution index is obtained;

S17, collecting and processing a plurality of historical exhibition input force data, historical exhibition stand capacity series data and historical exhibition security income data and historical exhibition marketing effect data of a plurality of exhibition stands of the same type of historical sample exhibition areas as the exhibition areas in a plurality of historical same exhibition periods through a preset exhibition historical database, and obtaining the historical exhibition marketing effect correction coefficients of the same type of exhibition areas;

and S18, carrying out aggregation correction processing according to the exhibition effect evaluation indexes of the exhibition stands in the type exhibition area, combining the exhibition sales contribution indexes of the exhibition areas and the historical exhibition sales average effect correction coefficients to obtain the exhibition effect evaluation correction indexes of the type exhibition area, carrying out threshold comparison with corresponding preset exhibition effect evaluation thresholds, and judging the exhibition works of the exhibition projects of all the exhibition stands in the type exhibition area.

Wherein, for evaluating the exhibition effect of the exhibition project of the exhibition area, carry out project data analysis to the exhibition platform of each exhibition platform in the type exhibition area through the construction information and the exhibition information of the exhibition project, then carry out evaluation to the exhibition platform exhibition effect in combination with the acquisition information data in the actual exhibition process, and carry out correction to the influence contribution data of the exhibition platform in the vicinity of the exhibition area and the historical exhibition correction data of the type exhibition area in combination with the exhibition platform, obtain the exhibition effect evaluation correction result of the exhibition project after the correction process, thereby judge the exhibition comprehensive effect of the exhibition platform, realize the technology of evaluating the exhibition project through the large data acquisition and processing, wherein, the exhibition construction characteristic data and the exhibition platform distribution preset data are the characteristic data of the exhibition platform exhibition process extracted through the acquisition information of the exhibition project construction process and the preset arrangement information of the exhibition platform distribution process, then carry out the calculation processing of the exhibition project through the preset exhibition element, obtain the exhibition audience input force, the exhibition platform hold fluid quantity, the exhibition platform safety and the construction and the exhibition platform construction effect, judge the exhibition platform safety and the exhibition project, the relevant effect, realize the technology of the exhibition platform safety and the exhibition platform, the exhibition platform safety and the relevant effect, the exhibition platform safety and the relevant exhibition platform, the exhibition platform safety effect is obtained through the exhibition effect, the exhibition platform safety effect, the relevant, the exhibition platform safety effect is obtained, and the exhibition platform safety effect, and the exhibition platform, and the exhibition effect. In order to improve the accurate evaluation of the exhibition effect of the exhibition stand, the exhibition stand is used for acquiring the evaluation result of the sales promotion contribution of the exhibition stand to the periphery of the exhibition area and the average sales achievement correction coefficient of the historical samples of the same type of exhibition area, correcting the evaluation index of the exhibition effect to obtain the evaluation result of the exhibition effect of the exhibition area, and judging the exhibition effect of the exhibition project of the exhibition area through comparison with a preset threshold value.

Referring to fig. 2, fig. 2 is a flowchart of acquiring exhibition construction feature data and exhibition stand exhibition preset data according to the large data-based exhibition engineering intelligent monitoring method in some embodiments of the present application. According to the embodiment of the invention, the exhibition project construction information and exhibition stand exhibition construction preset information of each exhibition stand in the type exhibition area are obtained, and the exhibition construction characteristic data and the exhibition stand exhibition preset data are respectively extracted according to the exhibition project construction information and the exhibition stand exhibition construction preset information, specifically:

s21, acquiring exhibition project construction information and exhibition platform exhibition project preset information of each exhibition platform in a type exhibition area;

s22, the construction information of the exhibition project comprises exhibition importance information, exhibition area position centrality information, exhibition stand area occupation ratio information, facility material type information, rent cost information, exhibition stand facility cost information, construction period information and construction labor cost information;

s23, the exhibition stand exhibition project preset information comprises exhibition stand exhibition product propaganda information, exhibition stand exhibition cost information, preset capacity information, exhibition product marketing expected information and preset security level information;

s24, extracting exhibition construction characteristic data according to the exhibition project construction information, wherein the exhibition construction characteristic data comprises exhibition item importance data, exhibition area position centrality data, exhibition stand area ratio data, facility material type data, rent cost data, exhibition stand facility cost data, construction period data and construction labor cost data;

S25, extracting exhibition stand exhibition preset data according to the exhibition stand exhibition project preset information, wherein the exhibition stand exhibition preset data comprises exhibition stand exhibition propaganda input data, exhibition stand exhibition cost data, preset capacity flow data, exhibition stand marketing expected data and preset security level data.

Wherein, firstly, the information of the construction of the exhibition platform project and the preparation setting information of the exhibition platform arrangement project are acquired and acquired, wherein, the construction information of the exhibition platform project comprises the information reflecting the importance of the exhibition platform exhibits, the centrality of the exhibition platform position, the occupation ratio of the exhibition platform area to the exhibition area, the type of the materials used for constructing the exhibition platform, the lease cost of the exhibition platform, the manufacturing cost of the exhibition platform facilities, the construction period of the exhibition platform and the labor cost of the exhibition platform construction, the exhibition platform layout project preset information comprises information reflecting exhibition platform and exhibit propaganda, exhibition platform design layout cost, exhibition platform preset audience accommodation flow, exhibition product marketing expectation and exhibition configuration preset security level, and then the exhibition platform layout preset data is extracted according to the exhibition platform layout project preset information, so that data related to the exhibition platform layout of the exhibition area are obtained.

Referring to fig. 3, fig. 3 is a flowchart of obtaining data such as exhibition investment data and exhibition stand capacity level data according to the method for intelligent monitoring of exhibition works based on big data in some embodiments of the present application. According to the embodiment of the invention, the preset exhibition element evaluation model is used for processing according to the exhibition construction characteristic data and the exhibition stand exhibition, so as to respectively obtain exhibition input force data, exhibition stand capacity level data, exhibition stand safety pre-estimated data and exhibition stand exhibition cost data, which are specifically as follows:

s31, processing the exhibition stand exhibition propaganda input data and the exhibition marketing expected data according to the exhibition stand exhibition importance data through a preset exhibition element evaluation model to obtain exhibition input force data;

s32, processing the exhibition area position centrality data, the exhibition stand area ratio data and the preset volume flow data through a preset exhibition element evaluation model to obtain exhibition stand volume level data;

s33, processing the preset capacity flow data and the preset security level data through a preset exhibition element evaluation model according to the facility material type data to obtain exhibition stand safety estimated data;

And S34, processing the exhibition stand layout cost data according to the rent cost data, the exhibition stand facility cost data and the construction labor cost data by combining the exhibition stand layout cost data through a preset exhibition element evaluation model to obtain exhibition layout cost data.

After obtaining relevant process record data and setting estimated data of a building and distributing exhibition of an exhibition area exhibition stand, carrying out item-division calculation processing on the building feature data of the exhibition stand and preset data of the exhibition stand through a preset exhibition element evaluation model to obtain relevant data of the building and distributing exhibition reflecting the building and distributing investment force, the audience volume level of the exhibition stand, the exhibition stand safety estimated and the building and distributing exhibition cost, wherein the preset exhibition element evaluation model is a calculation model for calculating the items of the building and distributing exhibition of an exhibition project, and comprises a plurality of corresponding calculation formulas of each item-division condition, wherein the calculation formulas of the building and distributing investment force data, the exhibition stand capacity level data, the exhibition stand safety estimated data and the building and distributing exhibition cost data are respectively:

c _ω ＝ν ₁ d _n +ν ₂ t _q +ν ₃ w _d ；

e _σ ＝ρ ₁ (q _f ×l _h )+ρ ₂ f _c ；

a _η ＝λ ₁ u _c +λ ₂ h _r +λ ₃ y _z +λ ₄ q _k ；

wherein c _ω 、e _σ 、p _ψ 、a _η Respectively representing the input force data, the stage capacity level data, the stage safety pre-estimated data and the cost data of the exhibition, d _n 、q _f 、l _h 、x _c 、u _c 、h _r 、y _z Respectively, exhibit importance data, exhibition area position centrality data, exhibition stand area occupation ratio data, facility material type data, rent cost data, exhibition stand facility cost data and construction labor cost data, t _q 、w _d 、f _c 、g _e 、q _k Respectively propaganda input data of exhibition stands, marketing expected data of the exhibition stands, preset capacity flow data, preset security level data and exhibition stand exhibition cost data, v, ρ,Lambda is a preset characteristic coefficient (the characteristic coefficient is obtained by inquiring a preset exhibition engineering monitoring database).

Referring to fig. 4, fig. 4 is a flowchart of acquiring exhibition operation engineering record information and corresponding exhibition operation feature data according to the large data-based exhibition engineering intelligent monitoring method in some embodiments of the present application. According to the embodiment of the invention, the exhibition operation engineering record information of each exhibition stand in the exhibition period is collected, and the exhibition operation engineering record information comprises exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition revenue information, and the corresponding exhibition operation characteristic data is extracted, specifically:

s41, acquiring exhibition operation engineering record information of each exhibition stand in an exhibition period, wherein the exhibition operation engineering record information comprises exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition revenue information;

s42, extracting the heat data of interest of the exhibits and the evaluation scoring data of the exhibits according to the exhibition evaluation information;

s43, extracting security accident level data, exhibit loss data and insurance claim data according to the exhibition security event log information;

S44, asset consumption data, display article consumption data and display energy consumption data are extracted according to the display consumption information;

s45, extracting order sales data and intention sales data according to the exhibition information.

In order to evaluate the exhibition efficiency of the exhibition project, the related characteristic data of the exhibition process of each exhibition stand in a certain exhibition period needs to be further acquired, and the corresponding sub-project characteristic data including the evaluation score information of the audience media on the exhibition stand, the safety event record information of the exhibition process, the loss information of the exhibition energy consumption and the exhibition marketing information, which are in the acquired exhibition operation project record information, are extracted, wherein the feature data include the feature data reflecting the attention heat of the audience media on the exhibits and the evaluation score of the exhibition stands, the safety accident level and the exhibit loss and the insurance claim amount of the exhibited, the asset loss and the article consumption and the energy consumption data, the order sales amount and the intention sales amount.

Referring to fig. 5, fig. 5 is a flowchart of obtaining data such as display heat efficiency data and display heat efficiency data according to the big data-based display engineering intelligent monitoring method in some embodiments of the present application. According to the embodiment of the invention, the exhibition heat efficiency data, exhibition security income data, exhibition operation cost data and exhibition income efficiency data are obtained by respectively combining the exhibition input force data, exhibition stand capacity series data, exhibition stand security pre-estimation data and exhibition cost data according to the exhibition operation characteristic data through a preset exhibition effect evaluation model, and the method comprises the following specific steps:

S51, processing the exhibition item attention heat data and the exhibition stand evaluation scoring data through a preset exhibition effect evaluation model according to the exhibition investment force data to obtain exhibition and sales heat effect data;

s52, processing the exhibition stand capacity series data in combination with the exhibition stand attention heat data and the order sales data through a preset generation effect evaluation model to obtain exhibition and sales heat efficiency data;

s53, processing the safety accident grade data, the exhibit loss data and the insurance claim amount data according to the exhibition stand safety estimated data through a preset exhibition effect evaluation model to obtain exhibition safety benefit data;

s54, processing the asset consumption data, the display article consumption data and the display energy consumption data according to the spread cost data through a preset spread effect evaluation model to obtain spread operation cost data;

and S55, processing the exhibition operation cost data, the order sales amount data and the intention signing sales amount data according to the exhibition marketing expected data through a preset exhibition effect evaluation model to obtain exhibition marketing effect data.

For evaluating the success of the exhibition process of the exhibition stand in the time period, carrying out project calculation according to the project characteristic data of the exhibition process and the related data of the construction through a preset exhibition success evaluation model, so as to obtain the exhibition evaluation related data reflecting the exhibition heat gain effect, the exhibition safety income condition, the exhibition operation cost and the exhibition income effect, wherein the preset exhibition success evaluation model is a calculation model for calculating the exhibition process success of the exhibition project and the project conditions of the preset construction and the whole process of the exhibition project, and comprises a plurality of corresponding calculation formulas of each project, wherein the calculation formulas of the exhibition heat gain effect data, the exhibition heat gain data, the exhibition safety benefit data, the exhibition operation cost data and the exhibition income effect data are respectively:

f _H ＝μ ₁ a _η +μ ₂ k _c +μ ₃ o _h +μ ₄ m _q ；

Wherein f _E 、m _D 、r _Y 、f _H 、b _Q Respectively, exhibition and sales heat efficiency data, exhibition and security income data, exhibition operation cost data and exhibition and sales heat efficiency data, c _ω 、e _σ 、p _ψ 、a _η Respectively representing the input force data, the stage capacity level data, the stage safety pre-estimated data and the cost data of the exhibition, and z _p 、g _w 、y _a 、s _w 、w _t 、j _x 、k _c 、o _h 、m _q 、e _y 、w _d The method comprises the steps of paying attention to heat data of the exhibits, evaluating and grading data of the exhibits, sales amount data of orders, security accident grade data, loss data of the exhibits, insurance claim amount data, asset loss data, consumption data of the exhibits, energy consumption data of the exhibits, expected sales amount data of the exhibits and expected marketing data of the exhibits, wherein epsilon, theta, iota, mu and gamma are preset characteristic coefficients (the characteristic coefficients are obtained through query of a preset exhibition engineering monitoring database).

According to the embodiment of the invention, the exhibition effect evaluation index is obtained by processing the exhibition heat efficiency data, the exhibition sales heat efficiency data, the exhibition security benefit data and the exhibition sales heat efficiency data corresponding to the single exhibition stand through a preset exhibition effect evaluation model, specifically:

wherein B is _g To evaluate the index of the exhibition effect, f _E 、m _D 、r _Y 、b _Q The system comprises exhibition heat efficiency data, exhibition safety income data and exhibition income efficiency data, wherein omega is a preset characteristic coefficient (the characteristic coefficient is obtained by inquiring a preset exhibition engineering monitoring database).

In order to evaluate the exhibition effect evaluation result of a single exhibition stand in exhibition engineering, the obtained exhibition effect evaluation related data are calculated and processed through a calculation formula of a preset exhibition effect evaluation model, and an exhibition stand exhibition effect evaluation index result is obtained.

According to the embodiment of the invention, the exhibition platform capacity series data, the exhibition marketing thermal efficiency data and the exhibition marketing effect data of a plurality of peripheral exhibition platforms in the same exhibition area are combined according to the exhibition effect evaluation index of the single exhibition platform to be processed, so as to obtain the corresponding exhibition area marketing contribution index, which is specifically as follows:

wherein,contribution index for exhibition area and sales, B _g For evaluating index of exhibition effect, e _σi 、m _Di 、b _Qi The system is characterized in that the system is respectively exhibition stand capacity series data, exhibition marketing heat efficiency data and exhibition marketing income efficiency data of the ith peripheral exhibition stand, n is the number of the peripheral exhibition stands, and sigma is a preset characteristic coefficient (the characteristic coefficient is obtained by inquiring a preset exhibition engineering monitoring database).

In order to improve accurate evaluation of exhibition platform exhibition effects, an exhibition sales driving contribution evaluation result of the exhibition platform to the exhibition area peripheral radiation exhibition platforms is obtained, and the exhibition area exhibition sales contribution index of the single exhibition platform is obtained through calculation processing according to exhibition effect evaluation indexes of the single exhibition platform and exhibition platform capacity series data, exhibition sales thermal efficiency data and exhibition sales response data of a plurality of peripheral radiation exhibition platforms in the same exhibition area.

According to the embodiment of the invention, the historical display average effect correction coefficient of the same type of exhibition area is obtained by collecting and processing a plurality of historical display input force data, historical display capacity series data, historical display safety gain data and historical display sales effect data of a plurality of exhibition stands of the same type of historical sample exhibition area as the exhibition area through a preset display history database, wherein the plurality of historical display input force data, the historical display capacity series data, the historical display safety gain data and the historical display sales effect data of the same type of exhibition area are in a plurality of historical same-display time periods, and the method specifically comprises the following steps:

wherein R is _τ Correction coefficient for historical display and sales uniformity, c _ωjs 、e _σjs 、r _Yjs 、b _Qjs The exhibition input force data, exhibition stand capacity series data, exhibition security income data and exhibition marketing income effect data of the j-th exhibition stand of the historical samples of the same type exhibition area in the s-th historical exhibition period are respectively obtained, m is the number of exhibition stands of the historical samples of the exhibition area, k is the number of historical exhibition periods, and eta is a preset characteristic coefficient (the characteristic coefficient is obtained through inquiring a preset exhibition engineering monitoring database).

And obtaining the correlation historical data of the historical sample exhibition areas of the same type as the exhibition areas in a plurality of historic same time periods for accurately evaluating the achievement results of exhibition projects of the exhibition areas, and performing calculation processing according to the correlation historical data to obtain correction coefficients of the average exhibition effects of the like exhibition areas in historic, namely the correction coefficients of the average exhibition effects of the like exhibition areas in the plurality of historic same time periods.

According to the embodiment of the invention, the aggregation correction processing is performed according to the exhibition effect evaluation index of each exhibition stand in the type exhibition area in combination with the exhibition area exhibition sales contribution index and the historical exhibition sales average effect correction coefficient to obtain the exhibition effect evaluation correction index of the type exhibition area, and the exhibition effect evaluation correction index is compared with a corresponding preset exhibition effect evaluation threshold value to judge the exhibition works of all the exhibition stands in the type exhibition area, specifically:

wherein,evaluating a correction index for the generation of the participation, B _gr 、/>Respectively evaluating index of exhibition effect of the R-th exhibition stand in the type exhibition area and contribution index of exhibition area exhibition and R _τ For the correction coefficient of the historical exhibition efficiency, q is the number of exhibition stands contained in the type exhibition area, delta and χ are preset characteristic coefficients (the characteristic coefficients are obtained by inquiring a preset exhibition engineering monitoring database).

And finally, according to the display effect evaluation indexes of the display platforms in the type display area, combining the corresponding display area display sales contribution indexes, carrying out aggregation, and combining the historical display sales average effect correction coefficients, carrying out correction processing calculation to obtain the evaluation correction indexes of the overall display effect of the type display area in the display period, namely the correction results of the display project in the time period of the display area, finally, carrying out threshold comparison according to the display effect evaluation correction indexes and the preset display effect evaluation threshold corresponding to the type display area, judging the display condition of the display project of the display area according to the threshold comparison results, and if the threshold comparison results meet the preset threshold requirements, carrying out display effect evaluation of the display area, if the threshold comparison results meet the preset threshold requirements, otherwise, carrying out processing on the information data of the display project through big data so as to evaluate the display project effect of the display area.

The invention also discloses a large data-based exhibition engineering intelligent monitoring system, which comprises a memory and a processor, wherein the memory comprises a large data-based exhibition engineering intelligent monitoring method program, and the large data-based exhibition engineering intelligent monitoring method program is realized when the processor executes sign abnormal correction data, and the steps are as follows:

According to the embodiment of the invention, the exhibition project construction information and exhibition stand exhibition construction preset information of each exhibition stand in the type exhibition area are obtained, and the exhibition construction characteristic data and the exhibition stand exhibition preset data are respectively extracted according to the exhibition project construction information and the exhibition stand exhibition construction preset information, specifically:

According to the embodiment of the invention, the preset exhibition element evaluation model is used for processing according to the exhibition construction characteristic data and the exhibition stand exhibition, so as to respectively obtain exhibition input force data, exhibition stand capacity level data, exhibition stand safety pre-estimated data and exhibition stand exhibition cost data, which are specifically as follows:

c _ω ＝ν ₁ d _n +ν ₂ t _q +ν ₃ w _d ；

e _σ ＝ρ ₁ (q _f ×l _h )+ρ ₂ f _c ；

a _η ＝λ ₁ u _c +λ ₂ h _r +λ ₃ y _z +λ ₄ q _k ；

wherein c _ω 、e _σ 、p _ψ 、a _η Respectively representing the input force data, the stage capacity level data, the stage safety pre-estimated data and the cost data of the exhibition, d _n 、q _f 、l _h 、x _c 、u _c 、h _r 、y _z Respectively, exhibit importance data, exhibition area position centrality data, exhibition stand area occupation ratio data, facility material type data, rent cost data, exhibition stand facility cost data and construction labor cost data, t _q 、w _d 、f _c 、g _e 、q _k Respectively propaganda input data of exhibition stands, marketing expected data of the exhibition stands, preset capacity flow data, preset security level data and exhibition stand exhibition cost data, v, ρ, Lambda is a preset characteristic coefficient (the characteristic coefficient is obtained by inquiring a preset exhibition engineering monitoring database).

According to the embodiment of the invention, the exhibition operation engineering record information of each exhibition stand in the exhibition period is collected, and the exhibition operation engineering record information comprises exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition revenue information, and the corresponding exhibition operation characteristic data is extracted, specifically:

According to the embodiment of the invention, the exhibition heat efficiency data, exhibition security income data, exhibition operation cost data and exhibition income efficiency data are obtained by respectively combining the exhibition input force data, exhibition stand capacity series data, exhibition stand security pre-estimation data and exhibition cost data according to the exhibition operation characteristic data through a preset exhibition effect evaluation model, and the method comprises the following specific steps:

f _H ＝μ ₁ a _η +μ ₂ k _c +μ ₃ o _h +μ ₄ m _q ；

wherein f _E 、m _D 、r _Y 、f _H 、b _Q Respectively, exhibition and sales heat efficiency data, exhibition and security income data, exhibition operation cost data and exhibition and sales heat efficiency data, c _ω 、e _σ 、p _ψ 、a _η Respectively representing the input force data, the stage capacity level data, the stage safety pre-estimated data and the cost data of the exhibition, and z _p 、g _w 、y _a 、s _w 、w _t 、j _x 、k _c 、o _h 、m _q 、e _y 、w _d The heat data, the stand evaluation scoring data, the order sales data, the security accident grade data, the exhibit loss data, the insurance claim data, the asset loss data, the exhibit consumption data, the exhibit energy consumption data, the intention sales data and the exhibit marketing expectation data are respectively the exhibit attention heat data, the exhibit evaluation scoring data, the order sales data, the security accident grade data, the exhibit loss data, the insurance claim data, the asset loss data, the exhibit consumption data, the intention sales data and the exhibit marketing expectation data, and epsilon, theta, iota, mu and gamma are preset characteristic coefficients (the characteristic coefficients are obtained through the inquiry of a preset exhibiting engineering monitoring databaseAnd (3) obtaining).

The third aspect of the present invention provides a readable storage medium, wherein the readable storage medium includes a big data based exhibition engineering intelligent monitoring method program, and when the big data based exhibition engineering intelligent monitoring method program is executed by a processor, the steps of the big data based exhibition engineering intelligent monitoring method are implemented.

According to the large-data-based exhibition engineering intelligent monitoring method, system and medium, exhibition engineering construction information and exhibition platform distribution engineering preset information of each exhibition platform in an exhibition area are obtained, exhibition construction feature data and exhibition platform distribution preset data are extracted, exhibition investment force data, exhibition platform capacity series data, exhibition platform safety estimated data and exhibition platform cost data are obtained through preset exhibition element evaluation model processing, and exhibition operation feature data extracted by combining with acquired exhibition operation engineering record information of each exhibition platform are respectively processed to obtain exhibition heat efficiency data, exhibition safety gain data, exhibition operation cost data and exhibition effect collection data, and then an exhibition effect evaluation index is obtained through preset exhibition effect evaluation model processing, and then an exhibition area exhibition contribution index is obtained through the related data processing of a plurality of peripheral exhibition platforms of a single exhibition platform according to the exhibition effect evaluation index of the single exhibition platform, and a historical sample exhibition platform of the same type is processed to obtain a correction coefficient in a plurality of historical periods, and the exhibition area has a correction coefficient according to the history sample exhibition platform of the history sample in a plurality of time periods, and the exhibition area has a correction effect contribution index according to the history sample in the history sample of the collected exhibition platform, and has a correction effect coefficient of the exhibition area; therefore, the technology for processing the information data of the exhibition projects through the big data to evaluate the exhibition project effect of the exhibition area is realized.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.

Alternatively, the above-described integrated units of the present invention may be stored in a readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.

Claims

1. The exhibition engineering intelligent monitoring method based on big data is characterized by comprising the following steps of:

2. The big data-based exhibition engineering intelligent monitoring method according to claim 1, wherein the acquiring the exhibition engineering construction information and the exhibition stand layout engineering preset information of each exhibition stand in the type exhibition area, and extracting the exhibition construction feature data and the exhibition stand layout preset data according to the exhibition engineering construction information and the exhibition stand layout engineering preset information respectively, comprises:

3. The big data-based exhibition engineering intelligent monitoring method according to claim 2, wherein the processing according to the exhibition construction feature data and exhibition stand exhibition preset data through a preset exhibition element evaluation model respectively obtains exhibition input force data, exhibition stand capacity progression data, exhibition stand safety pre-estimated data and exhibition stand exhibition cost data, comprises:

4. The big data based exhibition engineering intelligent monitoring method according to claim 3, wherein the collecting exhibition operation engineering record information of each exhibition stand in the exhibition period includes exhibition evaluation information, exhibition security event log information, exhibition loss information and exhibition harvest information, and extracting corresponding exhibition operation feature data includes:

5. The big data-based exhibition engineering intelligent monitoring method according to claim 4, wherein the processing according to the exhibition operation characteristic data by combining the exhibition input force data, the exhibition stand capacity level data, the exhibition stand safety pre-estimation data and the exhibition stand cost data through a preset exhibition effect evaluation model to obtain exhibition heat efficiency data, exhibition safety benefit data, exhibition operation cost data and exhibition expense efficiency data respectively comprises:

6. The big data-based exhibition engineering intelligent monitoring method according to claim 5, wherein the processing of the exhibition heat efficiency data, the exhibition security benefit data and the exhibition sales efficiency data according to the correspondence of the single exhibition stand through the preset exhibition effect evaluation model to obtain the exhibition effect evaluation index comprises:

Wherein B is _g To evaluate the index of the exhibition effect, f _E 、m _D 、r _Y 、b _Q Respectively showing heat efficiency data, showing safety income data and showing income efficiency data, wherein omega is a preset characteristic coefficient.

7. The big data based exhibition engineering intelligent monitoring method according to claim 6, wherein the processing according to the exhibition effect evaluation index of the single exhibition stand by combining the exhibition stand capacity level data, the exhibition sales thermal efficiency data and the exhibition sales achievement data of a plurality of peripheral exhibition stands in the same exhibition area to obtain the corresponding exhibition area sales contribution index comprises:

8. The intelligent monitoring method for exhibition works based on big data according to claim 7, wherein the steps of collecting and processing a plurality of historical exhibition investment force data, historical exhibition stage capacity progression data, historical exhibition safety income data and historical exhibition income data of a plurality of exhibition stands of the same type of historical sample exhibition as the exhibition area through a preset exhibition history database, and obtaining and processing the historical exhibition sales efficiency correction coefficients of the same type of exhibition area comprise the steps of:

9. The intelligent monitoring method of exhibition engineering based on big data according to claim 8, wherein the performing aggregation correction processing according to the exhibition effect evaluation index of each exhibition stand in the type exhibition area in combination with the exhibition area sales contribution index and the historical exhibition sales average effect correction coefficient to obtain the exhibition effect evaluation correction index of the type exhibition area, and performing threshold comparison with a corresponding preset exhibition effect evaluation threshold, and determining the exhibition effect of the exhibition engineering of all exhibition stands in the type exhibition area comprises:

10. Exhibition engineering intelligent monitoring system based on big data, which is characterized in that the system comprises: the system comprises a memory and a processor, wherein the memory comprises a program of the intelligent monitoring method of the exhibition engineering based on big data, and the program of the intelligent monitoring method of the exhibition engineering based on big data realizes the following steps when being executed by the processor: