CN105426982A

CN105426982A - Cooling type electronic commerce mode prediction on-line diagnosis system and diagnosis method thereof

Info

Publication number: CN105426982A
Application number: CN201510601892.5A
Authority: CN
Inventors: 周航
Original assignee: JIANGSU TIANZHI INTERNET TECHNOLOGY Co Ltd
Current assignee: JIANGSU TIANZHI INTERNET TECHNOLOGY Co Ltd
Priority date: 2015-09-21
Filing date: 2015-09-21
Publication date: 2016-03-23

Abstract

The invention provides a cooling type electronic commerce mode prediction on-line diagnosis system and a diagnosis method thereof. A database server is provided with a temperature relay, the temperature relay is provided with a normally-open contact, the temperature upper limit value of the temperature relay is set as the maximum normal work temperature value of the database server, the normally-open contact is connected between power supplies of heat radiation fans, the heat radiation fans face to the database server, each enterprise corresponds to a foreground client computer, and a background server set comprises the database server and an application server. According to the system and the method, defects of the lack of scientific and systematic determination and diagnosis of transformation, increased decision risk due to incorrect diagnosis of self transformation development of the enterprise, the lack of effective measures of diagnosis of newly increased enterprises, and the overheat phenomenon of the database server in the prior art are reduced.

Description

Diagnostic system and diagnostic method thereof on the line of cooling-down type electricity business model prediction

Technical field

The invention belongs to the diagnostic techniques field for electric business, diagnostic system and diagnostic method thereof on the line being specifically related to a kind of cooling-down type electricity business model prediction.

Background technology

Because environment is still immature, the differentiation in industry and region, conventional industries self-condition differentiation and conventional industries lack the correct factor such as cognitive for ecommerce, the excessive cost input causing Intranet make the transition and greater risk.Therefore, make the transition early stage in conventional industries, prior art lacks the science of transition, the judgement of system and diagnosis, enterprise cannot be allowed to make correct diagnosis to self Transformation Development, risk of policy making is increased.Carry out diagnosis for newly-increased enterprise in addition and lack effective measures, in addition when carrying out enterprise diagnosis, often want frequent visit database server, database server just there will be overheated phenomenon, has a strong impact on its operation function.

Summary of the invention

Diagnostic system and diagnostic method thereof on the line that object of the present invention provides a kind of cooling-down type electricity business model prediction, comprise background server group, diagnostic terminal and be arranged on the network of the foreground client computing machine composition in some enterprises, the corresponding foreground client computing machine of each enterprise, described background server group comprises database server and application server; Wherein said database server, the first dynamic diagnosis module and the first dynamic data base is included in described database server, the first described dynamic data base i.e. data source data storehouse, foreground queries module is included in described diagnostic terminal, with foreground processing module in described foreground client computing machine, described application server, includes the second dynamic diagnosis module and the second dynamic data base in described application server.And by method reduce in prior art lack transition science, the judgement of system and diagnosis, enterprise cannot be allowed to make correct diagnosis to self Transformation Development risk of policy making is increased, the enterprise increased newly is carried out diagnosing the defect lacking effective measures and database server and just there will be overheated phenomenon.

In order to overcome deficiency of the prior art, the solution of diagnostic system and diagnostic method thereof on the line that the invention provides a kind of cooling-down type electricity business model prediction, specific as follows:

Diagnostic system on a kind of line of cooling-down type electricity business model prediction, comprise background server group, diagnostic terminal and be arranged on the network of the foreground client computing machine composition in some enterprises, the corresponding foreground client computing machine of each enterprise, described background server group comprises database server and application server; Wherein said database server, the first dynamic diagnosis module and the first dynamic data base is included in described database server, the first described dynamic data base i.e. data source data storehouse, foreground queries module is included in described diagnostic terminal, with foreground processing module in described foreground client computing machine, described application server, includes the second dynamic diagnosis module and the second dynamic data base in described application server; Described database server is provided with temperature relay 1, described temperature relay 1 is with normally opened contact, the temperature upper limit of described temperature relay 1 is set as the maximum normal working temperature value of described database server, described normally opened contact is connected between the power supply 3 of radiator fan 2 and radiator fan, and described radiator fan 2 faces database server.

The second described dynamic data base comprises product data sheet, transaction data table, marketing data sheet and branding data table.

The first described dynamic diagnosis module is used for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first dynamic data base as a record, for inquiring enterprise name in record according to this enterprise name with consistent that record of the enterprise name in this query statement in the first dynamic data base, and the data in this record are sent to diagnostic terminal process.

The second described dynamic diagnosis module is used for the IP address of the foreground client computing machine in this instruction to send as destination address the instruction of information allowing the transmission product of enterprise, transaction, marketing and brand, for the information of the product of the enterprise received, transaction, marketing and brand being stored into respectively product data sheet, transaction data table, marketing data sheet and the branding data table in the second dynamic data base, for diagnosing by Boston Matrix analytical approach, for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server.

Described foreground queries module is used for sending to data server the querying command including enterprise name.

The diagnostic method of diagnostic system on the line of described cooling-down type electricity business model prediction, step is as follows:

Step 1: first in described foreground client computing machine stored in the information of the product of enterprise, transaction, marketing and brand, wherein the information of brand comprises enterprise name, enterprise address, enterprise's network address, enterprise nature, staff size, scale of investment, place industry, main business, organizational structure, enterprises ' industry rank, brand influence, enterprise information management present situation, electric commerce-change present situation, line upper mounting plate operation situation; The information of product comprises factory scenario, logistics center's information, product details, production efficiency, product strategy planning; The information of marketing comprises sales region and shops's information, production marketing achievement, product marketing strategic planning, and described production marketing achievement comprises the sales achievement on November in year last year of each product and the line in Dec and the sales achievement under line; Described Transaction Information comprises the sales volume in November in year last year and Dec, current operation situation, the November in year last year and the cost analysis in Dec, and the information of described cost analysis comprises cost taken by themselves, cost of labor, market competition cost, special cost;

Step 2: stored in the product of enterprise in described foreground client computing machine, transaction, after the information of marketing and brand, foreground processing module just sends the product of the request transmission enterprise including the IP address of foreground client computing machine to described application server, transaction, the instruction of the information of marketing and brand, described application server receives the product of the request transmission enterprise that this includes the IP address of foreground client computing machine, transaction, after the instruction of the information of marketing and brand, just start the second dynamic diagnosis module and the IP address of the foreground client computing machine in this instruction is sent as destination address the product allowing transmission enterprise, transaction, the instruction of the information of marketing and brand, such foreground client computing machine receives the product of this permission transmission enterprise, transaction, after the instruction of the information of marketing and brand, just described stored in the product of enterprise, transaction, the information of marketing and brand is sent in described application server, and such second dynamic diagnosis module is just the product of the enterprise received, transaction, the information of marketing and brand is stored into the product data sheet in the second dynamic data base respectively, transaction data table, marketing data sheet and branding data table, the factory scenario in the information of wherein product, logistics center's information, product details, production efficiency, product strategy planning forms a record in product data sheet, sales region in the information of marketing and shops's information, production marketing achievement, product marketing strategic planning form a record in marketing data sheet, the November in year last year in Transaction Information and the sales volume in Dec, current operation situation, cost analysis form a record in transaction data table, enterprise name in the information of brand, enterprise address, enterprise's network address, enterprise nature, staff size, scale of investment, place industry, main business, organizational structure, enterprises ' industry rank, brand influence, enterprise information management present situation, electric commerce-change present situation, line upper mounting plate operation situation form a record in branding data table,

Step 3: in all foreground client computing machines stored in the product of enterprise, transaction, the information of marketing and brand is all stored in after the second dynamic data base, the second described dynamic diagnosis module is just diagnosed by Boston Matrix analytical approach, be exactly respectively the November in last year year of each enterprise in the record that the second dynamic data base is corresponding and the sales achievement on the line in Dec and the sales achievement under line particularly, the November in year last year and the cost analysis in Dec extract, respectively the sales achievement summation in the November in year last year is obtained to sales achievement summation under the sales achievement on the line in the November in year last year of each enterprise and the line in the November in year last year, and respectively the sales achievement summation in the Dec in year last year is obtained to sales achievement summation under the sales achievement on the line in the Dec in year last year of each enterprise and the line in the Dec in year last year, then the sales achievement summation in the Dec in year last year is deducted the sales achievement summation in the November in year last year, the difference of gained is divided by the sales achievement summation in the November in year last year, namely the sales growth rate of sales achievement relative to the sales achievement in the November in year last year in the Dec in year last year is obtained, sales growth rate is multiplied by the 100 score value S just obtaining increasing for this enterprise marketing again _1i, wherein S _1ibe the score value that the enterprise marketing of i-th enterprise increases, i is natural number,

Step 4: again according to the November in year last year extracted and the cost analysis in Dec, respectively all entry summations of the cost analysis in the November in year last year of each enterprise are obtained to the cost analysis summation in the November in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis in the Dec in year last year of each enterprise obtain the Dec in year last year, then the marketing in the Dec in year last year is dropped into the marketing input summation that summation deducts the November in year last year, the difference of gained drops into summation divided by the marketing in the November in year last year, namely the marketing obtaining the Dec in year last year drops into the rate of growth dropped into relative to the marketing in the November in year last year, the rate of growth that marketing drops into is multiplied by the 100 score value S just obtaining dropping into for this enterprise marketing again _2i, wherein S _2ibe the score value that the enterprise marketing of i-th enterprise drops into, i is natural number,

Step 5: then ask for the weighted scoring value of enterprise marketing growth and the weighted scoring value of enterprise marketing input to each enterprise respectively, particularly, the weighted scoring value that the enterprise marketing of i-th enterprise increases is: S _1i* W _1i, the weighted scoring value that the enterprise marketing of i-th enterprise drops into is: S _2i* W _2i, wherein W _1ibe the weighted value of the sales growth of i-th enterprise, wherein W _2ibe the weighted value that the marketing of i-th enterprise drops into, i is natural number;

Step 6: the weighted scoring value that the weighted scoring value that the enterprise marketing of i-th enterprise is increased and the enterprise marketing of i-th enterprise drop into is added the total weighted scoring S obtaining i-th enterprise _i;

Step 7: the total weighted scoring TS asking for all enterprises again _n, TS _n=S ₁+ S ₂..+S _n; Ask for total weighted scoring mean value LS of all enterprises _n, LS _n=(S ₁+ S ₂..+S _n)/n; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises increases _1n=(S ₁₁* W ₁₁+ S ₁₂* W ₁₂..+S _1n* W _1n)/n; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises drops into _2n=(S ₂₁* W ₂₁+ S ₂₂* W ₂₂..+S _2n* W _2n)/n;

Step 8: build existing coordinate system, wherein horizontal ordinate represents that the weighted scoring value that the enterprise marketing of enterprise increases, ordinate represent the weighted scoring value that the enterprise marketing of enterprise drops into, and is LS at the horizontal ordinate of this existing coordinate system _1na vertical line is done in the position of/2, and is LS at the ordinate of this existing coordinate system _2nan x wire is done in the position of/2, and this x wire and the mutual cross-partition of vertical line go out right lower quadrant region, upper right quarter region, upper left region and lower left quarter region;

Step 9: subsequently using the horizontal ordinate of the weighted scoring value of the enterprise marketing of each enterprise growth as this existing coordinate system, and the weighted scoring value that the enterprise marketing of this enterprise drops into is as the ordinate of this existing coordinate system, forming coordinate points corresponding to this enterprise is presented on this existing coordinate system, the region that the coordinate points corresponding in this existing coordinate system according to it falls into judges its business type, judgement specific as follows:

If coordinate points falls into right lower quadrant region, this enterprise is high growth low input enterprise;

If coordinate points falls into upper right quarter region, this enterprise is high growth high investment enterprise; ,

If coordinate points falls into lower left quarter region, this enterprise is low growth low input enterprise;

If coordinate points falls into upper left region, this enterprise is low growth high investment enterprise;

Step 10: using this judgment result displays coordinate analysis figure as this enterprise on existing coordinate system;

Step 11: then the second dynamic diagnosis module is the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server,

Step 12: then the first dynamic diagnosis module is by the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first dynamic data base as a record,

Step 13: data server is sent to the querying command including enterprise name in the foreground queries module of described diagnostic terminal, and the first dynamic diagnosis module will inquire enterprise name in record with consistent that record of the enterprise name in this query statement according to this enterprise name in the first dynamic data base, and the data in this record are sent to diagnostic terminal process;

Step 14: when there being a newly-increased foreground client computing machine to be connected into, first in described newly-increased foreground client computing machine stored in the information of the product of enterprise, transaction, marketing and brand, wherein the information of brand comprises enterprise name, enterprise address, enterprise's network address, enterprise nature, staff size, scale of investment, place industry, main business, organizational structure, enterprises ' industry rank, brand influence, enterprise information management present situation, electric commerce-change present situation, line upper mounting plate operation situation; The information of product comprises factory scenario, logistics center's information, product details, production efficiency, product strategy planning; The information of marketing comprises sales region and shops's information, production marketing achievement, product marketing strategic planning, and described production marketing achievement comprises the sales achievement on November in year last year of each product and the line in Dec and the sales achievement under line; Described Transaction Information comprises the sales volume in November in year last year and Dec, current operation situation, the November in year last year and the cost analysis in Dec, and the information of described cost analysis comprises cost taken by themselves, cost of labor, market competition cost, special cost;

Step 15: stored in the product of enterprise in described newly-increased foreground client computing machine, transaction, after the information of marketing and brand, foreground processing module just sends the product of the request transmission enterprise including the IP address of foreground client computing machine to described application server, transaction, the instruction of the information of marketing and brand, described application server receives the product of the request transmission enterprise that this includes the IP address of foreground client computing machine, transaction, after the instruction of the information of marketing and brand, just start the second dynamic diagnosis module and the IP address of the foreground client computing machine in this instruction is sent as destination address the product allowing transmission enterprise, transaction, the instruction of the information of marketing and brand, foreground client computing machine newly-increased like this receives the product of this permission transmission enterprise, transaction, after the instruction of the information of marketing and brand, just described stored in the product of enterprise, transaction, the information of marketing and brand is sent in described application server, and such second dynamic diagnosis module is just the product of the enterprise received, transaction, the information of marketing and brand is stored into the product data sheet in the second dynamic data base respectively, transaction data table, marketing data sheet and branding data table, the factory scenario in the information of wherein product, logistics center's information, product details, production efficiency, product strategy planning forms a record in product data sheet, sales region in the information of marketing and shops's information, production marketing achievement, product marketing strategic planning form a record in marketing data sheet, the November in year last year in Transaction Information and the sales volume in Dec, current operation situation, cost analysis form a record in transaction data table, enterprise name in the information of brand, enterprise address, enterprise's network address, enterprise nature, staff size, scale of investment, place industry, main business, organizational structure, enterprises ' industry rank, brand influence, enterprise information management present situation, electric commerce-change present situation, line upper mounting plate operation situation form a record in branding data table,

Step 16: in the foreground client computing machine that this is newly-increased stored in the product of enterprise, transaction, the information of marketing and brand is all stored in after the second dynamic data base, the second described dynamic diagnosis module is just diagnosed by Boston Matrix analytical approach, be exactly respectively that this is newly-increased enterprise's November in year last year in the record that the second dynamic data base is corresponding and the sales achievement on the line in Dec and the sales achievement under line particularly, the November in year last year and the cost analysis in Dec extract, the sales achievement summation in the November in year last year is obtained to sales achievement summation under the sales achievement on the line in the November in year last year of this creation of new enterprise and the line in the November in year last year, and the sales achievement summation in the Dec in year last year is obtained to sales achievement summation under the sales achievement on the line in the Dec in year last year of this newly-increased enterprise and the line in the Dec in year last year, then the sales achievement summation in the Dec in year last year is deducted the sales achievement summation in the November in year last year, the difference of gained is divided by the sales achievement summation in the November in year last year, namely the sales growth rate of sales achievement relative to the sales achievement in the November in year last year in the Dec in year last year is obtained, sales growth rate is multiplied by the 100 score value S just obtaining for this creation of new enterprise sales growth again _{1 (n+1)}, wherein S _{1 (n+1)}for the score value that the enterprise marketing of this creation of new enterprise increases, i is natural number, and n is the quantity of original enterprise,

Step 17: again according to the November in year last year extracted and the cost analysis in Dec, respectively all entry summations of the cost analysis in the November in year last year of this creation of new enterprise are obtained to the cost analysis summation in the November in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis in the Dec in year last year of this creation of new enterprise obtain the Dec in year last year, then the marketing in the Dec in year last year is dropped into the marketing input summation that summation deducts the November in year last year, the difference of gained drops into summation divided by the marketing in the November in year last year, namely the marketing obtaining the Dec in year last year drops into the rate of growth dropped into relative to the marketing in the November in year last year, the rate of growth that marketing drops into is multiplied by the 100 score value S just obtaining dropping into for the marketing of this creation of new enterprise again _{2 (n+1)}, wherein S _{2 (n+1)}for the score value that the enterprise marketing of this creation of new enterprise drops into, i is natural number,

Step 18: then ask for the weighted scoring value of enterprise marketing growth and the weighted scoring value of enterprise marketing input to this creation of new enterprise respectively, particularly, the weighted scoring value that the enterprise marketing of this creation of new enterprise increases is: S _{1 (n+1)}* W _{1 (n+1)}, the weighted scoring value that the enterprise marketing of this creation of new enterprise drops into is: S _{2 (n+1)}* W _{2 (n+1)}, wherein W _{1 (n+1)}for the weighted value of the sales growth of creation of new enterprise, wherein W _{2 (n+1)}for the weighted value that the marketing of creation of new enterprise drops into, i is natural number;

Step 19: the weighted scoring the value subsequently enterprise marketing of creation of new enterprise increased is as the horizontal ordinate of existing coordinate system, and the weighted scoring value that the enterprise marketing of this enterprise drops into is as the ordinate of this existing coordinate system, forming coordinate points corresponding to this enterprise is presented on existing coordinate system, the region that the coordinate points corresponding in existing coordinate system according to it falls into judges its business type, judgement specific as follows:

Step 20: using this judgment result displays coordinate analysis figure as creation of new enterprise on existing coordinate system, the weighted scoring value that the enterprise marketing of the weighted scoring value that the enterprise marketing of creation of new enterprise is increased and creation of new enterprise drops into is added the total weighted scoring S obtaining creation of new enterprise _n+1;

Step 21: then the second dynamic diagnosis module is the product of creation of new enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server,

Step 22: then the first dynamic diagnosis module is by the product of creation of new enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first dynamic data base as a record,

Step 23: data server is sent to the querying command including creation of new enterprise title in the foreground queries module of described diagnostic terminal, and the first dynamic diagnosis module will inquire enterprise name in record with consistent that record of the enterprise name in this query statement according to this creation of new enterprise title in the first dynamic data base, and the data in this record are sent to diagnostic terminal process;

Step 24: the total weighted scoring TS asking for all enterprises comprising creation of new enterprise again _n+1, TS _n+1=S ₁+ S ₂..+S _n+1; Ask for total weighted scoring mean value LS of all enterprises _n+1, LS _n+1=(S ₁+ S ₂..+S _n+1)/(n+1); The weighted scoring mean value LS that the enterprise marketing asking for all enterprises increases _{1 (n+1)}=(S ₁₁* W ₁₁+ S ₁₂* W ₁₂..+S _{1 (n+1)}* W _{1 (n+1)})/(n+1); The weighted scoring mean value LS that the enterprise marketing asking for all enterprises drops into _{2 (n+1)}=(S ₂₁* W ₂₁+ S ₂₂* W ₂₂..+S _{2 (n+1)}* W _{2 (n+1)})/(n+1);

Step 25: build existing coordinate system, wherein horizontal ordinate represents that the weighted scoring value that the enterprise marketing of enterprise increases, ordinate represent the weighted scoring value that the enterprise marketing of enterprise drops into, and is LS at the horizontal ordinate of this existing coordinate system _{1 (n+1)}a vertical line is done in the position of/2, and is LS at the ordinate of this existing coordinate system _{2 (n+1)}an x wire is done in the position of/2, and this x wire and the mutual cross-partition of vertical line go out right lower quadrant region, upper right quarter region, upper left region and lower left quarter region, replace original existing coordinate system with this existing coordinate system.

Described W _1ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.0 with regard to value; Described W _2ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _2ibe 1.0 with regard to value.

Described enterprise information management present situation comprises the information belonging to ERP or CRM; Described electric commerce-change present situation comprises whether self-built platform, whether third-party platform, concrete belonging to the information of kind; Described line upper mounting plate situation comprises the information that platform drops into product margin on situation, output present situation and expection, line; Described product details comprise the technical advantage of each product, technology inferior position, attraction, Patent, life cycle; Described production efficiency comprises logistics time, the information of delivery date, after sale feedback time.

Described sales region and shops's information comprise the information of shops's layout, field sales situation, shops's sales situation.

Described product strategy planning comprises the content whether having present stage product strategy, product strategy to plan.

Whether described product marketing strategic planning comprises has present stage to produce sheet marketing strategy, what marketing strategy is.

The information of described current operation situation comprises stock information, studio rent information, other fees information, product average gross profit information, the average gross profit information of industry.

Apply such scheme of the present invention, the commercialization indexs such as product/transaction/marketing/brand involved in management on enterprise's line are analyzed.The present invention can find the On Index on enterprise's line in management process, and with the form quantitative management usefulness of data supporting and tactful deviation, aid decision making, can define diagnosis mark post according to different enterprise platform carrying magnitude difference, for administration behaviour on enterprise's line is made decision reference.Described database server is provided with temperature relay 1, described temperature relay 1 is with normally opened contact, the temperature upper limit of described temperature relay 1 is set as the maximum normal working temperature value of described database server, described normally opened contact is connected between radiator fan 2 and the power supply of radiator fan, described radiator fan 2 faces database server, so just when the temperature of database server reaches maximum normal working temperature, normally opened contact closes, and finally starts radiator fan and dispels the heat to database server.

Accompanying drawing explanation

Fig. 1 be cooling-down type of the present invention electricity business model prediction line on the theory structure schematic diagram of diagnostic system.

Fig. 2 is the connection diagram of radiator fan of the present invention.

Embodiment

Below in conjunction with drawings and Examples, summary of the invention is described further:

With reference to Fig. 1, shown in Fig. 2, diagnostic system on the line of cooling-down type electricity business model prediction, comprise background server group, diagnostic terminal and be arranged in some enterprises foreground client computing machine composition network, can to the variable commercial factors designed in management of enterprise operation process: i.e. product, transaction, marketing and brand four broad aspect carry out multianalysis, thus obtain supplying the electric commerce-change feasibility of enterprise and agreeing with the information of electric quotient module formula accordingly, the corresponding foreground client computing machine of each enterprise, described background server group comprises database server and application server, unify to provide support service for foreground client computer application, wherein said database server, the first dynamic diagnosis module and the first dynamic data base is included in described database server, the first described dynamic data base i.e. data source data storehouse, namely for storing all process datas of enterprise's line upper mounting plate management, comprise diagnostic clue data, dynamic diagnosis index system, diagnostic process, condition Sum fanction, and the diagnosis logging data of enterprise, foreground queries module is included in described diagnostic terminal, with foreground processing module in described foreground client computing machine, described application server, the second dynamic diagnosis module and the second dynamic data base is included in described application server, namely for receiving the business data information from the typing of foreground client computing machine, according to dynamic diagnosis index system, use corresponding flow process, condition Sum fanction, diagnostic analysis algorithm according to correspondence carries out reference marking.The second described dynamic data base comprises product data sheet, transaction data table, marketing data sheet and branding data table.The first described dynamic diagnosis module is used for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first dynamic data base as a record, for inquiring enterprise name in record according to this enterprise name with consistent that record of the enterprise name in this query statement in the first dynamic data base, and the data in this record are sent to diagnostic terminal process.The second described dynamic diagnosis module is used for the IP address of the foreground client computing machine in this instruction to send as destination address the instruction of information allowing the transmission product of enterprise, transaction, marketing and brand, for the information of the product of the enterprise received, transaction, marketing and brand being stored into respectively product data sheet, transaction data table, marketing data sheet and the branding data table in the second dynamic data base, for diagnosing by Boston Matrix analytical approach, for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server.Described foreground queries module is used for sending to data server the querying command including enterprise name.; Described database server is provided with temperature relay 1, described temperature relay 1 is with normally opened contact, the temperature upper limit of described temperature relay 1 is set as the maximum normal working temperature value of described database server, described normally opened contact is connected between the power supply 3 of radiator fan 2 and radiator fan, and described radiator fan 2 faces database server

The diagnostic method of diagnostic system on the line of described cooling-down type electricity business model prediction, by based on economies in transition model, the model of economic growth, theory of business management, statistics mathematical statistics method and the dynamic diagnosis index system formed carries out assay, step is as follows:

Step 3: in all foreground client computing machines stored in the product of enterprise, transaction, the information of marketing and brand is all stored in after the second dynamic data base, the second described dynamic diagnosis module is just diagnosed by Boston Matrix analytical approach, be exactly respectively the November in last year year of each enterprise in the record that the second dynamic data base is corresponding and the sales achievement on the line in Dec and the sales achievement under line particularly, the November in year last year and the cost analysis in Dec extract, respectively the sales achievement summation in the November in year last year is obtained to sales achievement summation under the sales achievement on the line in the November in year last year of each enterprise and the line in the November in year last year, and respectively the sales achievement summation in the Dec in year last year is obtained to sales achievement summation under the sales achievement on the line in the Dec in year last year of each enterprise and the line in the Dec in year last year, then the sales achievement summation in the Dec in year last year is deducted the sales achievement summation in the November in year last year, the difference of gained is divided by the sales achievement summation in the November in year last year, namely the sales growth rate of sales achievement relative to the sales achievement in the November in year last year in the Dec in year last year is obtained, sales growth rate is multiplied by the 100 score value S just obtaining increasing for this enterprise marketing again _1i, wherein S _1ibe the score value that the enterprise marketing of i-th enterprise increases, i is natural number, S in the present embodiment ₁₁be 30, S ₁₂be 40,

Step 4: again according to the November in year last year extracted and the cost analysis in Dec, respectively all entry summations of the cost analysis in the November in year last year of each enterprise are obtained to the cost analysis summation in the November in year last year, and respectively summation is dropped into the marketing that all entry summations of the cost analysis in the Dec in year last year of each enterprise obtain the Dec in year last year, then the marketing in the Dec in year last year is dropped into the marketing input summation that summation deducts the November in year last year, the difference of gained drops into summation divided by the marketing in the November in year last year, namely the marketing obtaining the Dec in year last year drops into the rate of growth dropped into relative to the marketing in the November in year last year, the rate of growth that marketing drops into is multiplied by the 100 score value S just obtaining dropping into for this enterprise marketing again _2i, wherein S _2ibe the score value that the enterprise marketing of i-th enterprise drops into, i is natural number, S in the present embodiment ₂₁be 40, S ₂₂be 50,

Step 5: then ask for the weighted scoring value of enterprise marketing growth and the weighted scoring value of enterprise marketing input to each enterprise respectively, particularly, the weighted scoring value that the enterprise marketing of i-th enterprise increases is: S _1i* W _1i, the weighted scoring value that the enterprise marketing of i-th enterprise drops into is: S _2i* W _2i, wherein W _1ibe the weighted value of the sales growth of i-th enterprise, wherein W _2iit is the weighted value that the marketing of i-th enterprise drops into, i is natural number, the weighted value of the sales growth of the 1st enterprise is 1 in the present embodiment, the weighted value of the sales growth of the 2nd enterprise is 1.5, the weighted value that the enterprise marketing of the 1st enterprise drops into is 1, the weighted value that the enterprise marketing of the 2nd enterprise drops into is 1.5, the weighted scoring value of the sales growth of the 1st enterprise is 30 thus, the weighted scoring value of the sales growth of the 2nd enterprise is 60, the weighted scoring value that the marketing of the 1st enterprise drops into is the weighted scoring value that the marketing of the 40,2nd enterprise drops into is 75;

Step 6: the weighted scoring value that the weighted scoring value that the enterprise marketing of i-th enterprise is increased and the enterprise marketing of i-th enterprise drop into is added the total weighted scoring S obtaining i-th enterprise _i, total weighted scoring of the 1st enterprise is total weighted scoring of the 70,2nd enterprise is 135;

Step 7: the total weighted scoring TS asking for all enterprises again ₂, TS ₂=205; Ask for total weighted scoring mean value LS of all enterprises ₂, LS _n=102.5; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises increases ₁₂=45; The weighted scoring mean value LS that the enterprise marketing asking for all enterprises drops into _2n=57.5, its value is 2;

Step 8: build existing coordinate system, wherein horizontal ordinate represents that the weighted scoring value that the enterprise marketing of enterprise increases, ordinate represent the weighted scoring value that the enterprise marketing of enterprise drops into, and is LS at the horizontal ordinate of this existing coordinate system _1n/ 2, namely a vertical line is done in the position of 22.5, and is LS at the ordinate of this existing coordinate system _2n/ 2, namely an x wire is done in the position of 28.75, and this x wire and the mutual cross-partition of vertical line go out right lower quadrant region, upper right quarter region, upper left region and lower left quarter region;

And the 1st enterprise is high growth high investment enterprise, the 2nd enterprise is also high growth high investment enterprise.

Described W _1ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.0 with regard to value; Described W _2ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _2ibe 1.0 with regard to value.Described enterprise information management present situation comprises the information belonging to ERP or CRM.Described electric commerce-change present situation comprises whether self-built platform, whether third-party platform, concrete belonging to the information of kind.Described line upper mounting plate situation comprises the information that platform drops into product margin on situation, output present situation and expection, line.Described product details comprise the technical advantage of each product, technology inferior position, attraction, Patent, life cycle.Described production efficiency comprises logistics time, the information of delivery date, after sale feedback time.Described sales region and shops's information comprise the information of shops's layout, field sales situation, shops's sales situation.Described product strategy planning comprises the content whether having present stage product strategy, product strategy to plan.Whether described product marketing strategic planning comprises has present stage to produce sheet marketing strategy, what marketing strategy is.The information of described current operation situation comprises stock information, studio rent information, other fees information, product average gross profit information, the average gross profit information of industry.Just when the temperature of database server reaches maximum normal working temperature, normally opened contact is closing, and finally starts radiator fan and dispels the heat to database server.

The above, it is only preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, make a little change when the technology contents of above-mentioned announcement can be utilized or be modified to the Equivalent embodiments of equivalent variations, in every case be do not depart from technical solution of the present invention content, according to technical spirit of the present invention, within the spirit and principles in the present invention, to any simple amendment that above embodiment is done, equivalent replacement and improvement etc., within the protection domain all still belonging to technical solution of the present invention.

Claims

1. diagnostic system on the line of cooling-down type electricity business model prediction, it is characterized in that, comprise background server group, diagnostic terminal and be arranged on the network of the foreground client computing machine composition in some enterprises, the corresponding foreground client computing machine of each enterprise, described background server group comprises database server and application server, wherein said database server, the first dynamic diagnosis module and the first dynamic data base is included in described database server, the first described dynamic data base i.e. data source data storehouse, foreground queries module is included in described diagnostic terminal, with foreground processing module in described foreground client computing machine, described application server, the second dynamic diagnosis module and the second dynamic data base is included in described application server, described database server is provided with temperature relay, described temperature relay is with normally opened contact, the temperature upper limit of described temperature relay is set as the maximum normal working temperature value of described database server, described normally opened contact is connected between radiator fan and the power supply of radiator fan, described radiator fan faces database server.

2. diagnostic system on the line of cooling-down type according to claim 1 electricity business model prediction, is characterized in that the second described dynamic data base comprises product data sheet, transaction data table, marketing data sheet and branding data table.

3. diagnostic system on the line of cooling-down type according to claim 1 electricity business model prediction, it is characterized in that the first described dynamic diagnosis module is for the product by each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise is stored in the first dynamic data base as a record, for inquiring enterprise name in record according to this enterprise name with consistent that record of the enterprise name in this query statement in the first dynamic data base, and the data in this record are sent to diagnostic terminal process.

4. diagnostic system on the line of cooling-down type according to claim 1 electricity business model prediction, it is characterized in that the second described dynamic diagnosis module for using the IP address of the foreground client computing machine in this instruction as destination address send allow transmission enterprise product, transaction, marketing and brand the instruction of information, for the information of the product of the enterprise received, transaction, marketing and brand being stored into respectively product data sheet, transaction data table, marketing data sheet and the branding data table in the second dynamic data base, for diagnosing by Boston Matrix analytical approach, for the product of each enterprise, transaction, marketing, brand, the score value that enterprise marketing increases, the score value that enterprise marketing drops into, the weighted scoring value that enterprise marketing increases, the weighted scoring value that enterprise marketing drops into, total weighted scoring of all enterprises, total weighted scoring mean value of all enterprises, the weighted scoring mean value of the enterprise marketing growth of all enterprises, the information of the weighted scoring mean value of the enterprise marketing input of all enterprises, the coordinate analysis figure of business type and enterprise sends to described database server.

5., according to diagnostic system on the line of cooling-down type electricity business model prediction according to claim 1, it is characterized in that described foreground queries module is for sending the querying command including enterprise name to data server.

6. the diagnostic method of diagnostic system on the line of cooling-down type according to claim 1 electricity business model prediction, it is characterized in that, step is as follows:

If coordinate points falls into upper right quarter region, this enterprise is high growth high investment enterprise;

7. on the line of cooling-down type according to claim 6 electricity business model prediction, the diagnostic method of diagnostic system, is characterized in that described W _1ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.0 with regard to value; Described W _2ivalue be if deposit sales achievement on line in the sales achievement of enterprise, W _1ibe 1.5 with regard to value, if deposit sales achievement on line in the sales achievement of enterprise, W _2ibe 1.0 with regard to value.

8. on the line of cooling-down type according to claim 6 electricity business model prediction, the diagnostic method of diagnostic system, is characterized in that described enterprise information management present situation comprises the information belonging to ERP or CRM; Described electric commerce-change present situation comprises whether self-built platform, whether third-party platform, concrete belonging to the information of kind; Described line upper mounting plate situation comprises the information that platform drops into product margin on situation, output present situation and expection, line; Described product details comprise the technical advantage of each product, technology inferior position, attraction, Patent, life cycle; Described production efficiency comprises logistics time, the information of delivery date, after sale feedback time; Described sales region and shops's information comprise the information of shops's layout, field sales situation, shops's sales situation; Described product strategy planning comprises the content whether having present stage product strategy, product strategy to plan; Whether described product marketing strategic planning comprises has present stage to produce sheet marketing strategy, what marketing strategy is; The information of described current operation situation comprises stock information, studio rent information, other fees information, product average gross profit information, the average gross profit information of industry.