CN112990498A - Client management system and method based on digital twin technology - Google Patents
Client management system and method based on digital twin technology Download PDFInfo
- Publication number
- CN112990498A CN112990498A CN202110321013.9A CN202110321013A CN112990498A CN 112990498 A CN112990498 A CN 112990498A CN 202110321013 A CN202110321013 A CN 202110321013A CN 112990498 A CN112990498 A CN 112990498A
- Authority
- CN
- China
- Prior art keywords
- unit
- product
- enterprise
- data
- development
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Automation & Control Theory (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a customer management system and a method based on a digital twin technology, belonging to the technical field of customer management, wherein the system comprises a modeling acquisition module, an enterprise analysis module, a product simulation module and a development management module; the system comprises a modeling acquisition module, an enterprise analysis module, a product simulation module, a development management module and a digital twin technology, wherein the modeling acquisition module is used for establishing a digital model for a client product and a client enterprise and acquiring data of the client product and the client enterprise, the enterprise analysis module is used for analyzing the development condition of the client enterprise according to the sales condition of the client product, the product simulation module is used for simulating the future use condition of the client product according to the use data of the client product, the development management module is used for managing the future development of the client enterprise according to the development condition of the enterprise and applying the digital twin technology to client management, so that the digital analysis and management of the client product and the client enterprise can be realized, the analysis result is more accurate and more reliable, and the system is more in line with the development.
Description
Technical Field
The invention relates to the technical field of customer management, in particular to a customer management system and a customer management method based on a digital twin technology.
Background
The digital twin is to fully utilize data such as a physical model, sensor updating, operation history and the like, integrate a multidisciplinary, multi-physical quantity, multi-scale and multi-probability simulation process and complete mapping in a virtual space so as to reflect the full life cycle process of corresponding entity equipment; is a concept beyond reality and can be viewed as a digital mapping system of one or more important equipment systems that depend on each other;
the customer management means predicting and managing the product of the customer and the development of the customer enterprise, so that the monitoring of the product of the customer and the planning of the development of the enterprise can be realized, in the prior art, a digital twin technology is not generally applied to a customer management system, and the existing customer management system has the following problems when in use:
1. the sold products cannot be monitored and predicted in advance, so that the use experience of a user is influenced due to sudden failure of the products when the products are used;
2. the digital analysis can not be carried out according to the current implicit development scale of the enterprise, and corresponding suggestions and opinions can not be provided for the development of the enterprise, so that the normal development of the enterprise is influenced;
therefore, a customer management system and method based on digital twin technology are urgently needed to solve the above problems.
Disclosure of Invention
The invention aims to provide a customer management system and a customer management method based on a digital twin technology, which aim to solve the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a customer management system based on digital twin technology comprises a modeling acquisition module, an enterprise analysis module, a product simulation module and a development management module;
the modeling acquisition module is used for establishing a digital model for a client product and a client enterprise and acquiring data of the client product and the client enterprise, so that the client product and the client enterprise can be digitally analyzed, the analysis result of the client product and the client enterprise is more accurate and the development of the client product and the client enterprise is more favorable, the enterprise analysis module is used for analyzing the development condition of the client enterprise according to the sales condition of the client product and digitally analyzing the development condition of the client enterprise through the sales of the client product so as to embody the concept of fuzziness and more intuitively understand the development of the enterprise, the product simulation module is used for simulating the future use condition of the client product according to the use data of the client product and simulating the digital client product by using a digital twin technology, the system comprises a development management module, a simulation data acquisition module, a simulation data analysis module, a development management module and a monitoring data analysis module, wherein the development management module is used for managing future development of client enterprises according to development conditions of the enterprises, so that enterprise projects can be reasonably planned, and the continuous development and development of the enterprises are assisted;
the output end of the modeling acquisition module is electrically connected with the input ends of the enterprise analysis module and the product simulation module, and the output end of the enterprise analysis module is electrically connected with the input end of the development management module.
According to the technical scheme, the modeling acquisition module comprises a model establishing unit, a digital model, a monitoring acquisition unit, a product detection unit and a data uploading unit;
the system comprises a model establishing unit, a monitoring and collecting unit, a product detecting unit and a data uploading unit, wherein the model establishing unit is used for establishing a digital model of a client product and a client enterprise, the digital model refers to a three-dimensional model of the client product and a two-dimensional model of product sale information of the client enterprise, the monitoring and collecting unit is used for collecting use data of the client product after sale, the product detecting unit is used for detecting and collecting various information data of the product when the product leaves a factory, and the data uploading unit is used for uploading various information data of the enterprise to the digital model;
the model building unit outputs a digital model, and the output ends of the data uploading unit, the monitoring acquisition unit and the product detection unit are electrically connected with the input end of the digital model.
According to the technical scheme, the enterprise analysis module comprises a product trend unit, a sales analysis unit and a development analysis unit;
the product trend unit is used for confirming the sales points of enterprise products and determining the sales condition of client products according to the sales range of the enterprise products in the planar two-dimensional model, the sales analysis unit is used for analyzing the sales condition of the enterprise products, determining the sales scale of the enterprise and determining the sales scale according to the sales range of the products, and the development analysis unit is used for analyzing the development condition of the enterprise according to the detection result of the product detection unit;
the output end of the product detection unit is electrically connected with the input end of the product trend unit, the output end of the product trend unit is electrically connected with the input end of the sales analysis unit, and the output ends of the sales analysis unit and the digital model are electrically connected with the input end of the development analysis unit.
According to the technical scheme, the product simulation module comprises a data correction unit, a model operation unit and a simulation adjustment unit;
the simulation operation unit is used for accelerating and simulating the operation process of a sold product according to the acquired data of the monitoring acquisition unit, the data correction unit is used for correcting acceleration simulation data according to the acceleration simulation operation data of a corrected product, which is acquired by the monitoring acquisition unit, in the process of accelerating and simulating the operation of the product, the simulation adjustment unit is used for comparing the data corrected by the data correction unit with the data of the model operation unit and adjusting the digital model simulation process of the product according to the comparison result;
the output end of the digital model is electrically connected with the input end of the model operation unit, the output end of the monitoring acquisition unit is electrically connected with the input end of the data correction unit, the output end of the data correction unit is electrically connected with the input end of the model operation unit, the output ends of the data correction unit and the model operation unit are electrically connected with the input end of the simulation adjustment unit, and the output end of the simulation adjustment unit is electrically connected with the input end of the Lina model operation unit.
According to the technical scheme, the development management module comprises an item matching unit and a suggestion reminding unit;
the project matching unit is used for matching corresponding development projects according to the analysis result of the development analysis unit and helping enterprises to further expand development scale, and the suggestion reminding unit is used for giving corresponding suggestions or opinions according to the projects matched by the enterprises;
the output end of the development analysis unit is electrically connected with the input end of the project matching unit, and the output end of the project matching unit is electrically connected with the input end of the suggestion reminding unit.
A customer management method based on a digital twin technology comprises the following steps:
s1, establishing a digital model of enterprise scale and enterprise products by using the modeling acquisition module, and inputting related information data into the digital model;
s2, simulating the operation condition of the products sold by enterprises through a digital model, and correcting the simulation process according to actual detection data;
s3, analyzing the product sale condition of the enterprise by utilizing an enterprise analysis module;
and S4, analyzing the development condition of the enterprise through the enterprise analysis module, and giving corresponding development suggestions or opinions.
According to the above technical solution, in step S1, the method further includes the steps of:
s101, establishing a three-dimensional digital model of a customer product by using a model establishing unit, and establishing a two-dimensional digital model for sale of the customer product by using the model establishing unit;
s102, uploading the enterprise scale data to a two-dimensional digital model by using a data uploading unit, and labeling the two-dimensional digital model;
s103, collecting the use data of the sold product by using a monitoring and collecting unit, and uploading the use data to a three-dimensional digital model;
s104, collecting information data of a factory product by using a product detection unit, and marking the information data on a two-dimensional digital model;
in step S101, a three-dimensional coordinate system and a two-dimensional coordinate system are assigned to the three-dimensional digital model and the two-dimensional digital model, so that the digital model can be digitally operated and analyzed, and the operation and analysis results are more accurate;
in step S102, the enterprise scale data uploaded by the data uploading unit includes an enterprise location, an enterprise office area, an enterprise personnel number, and a past enterprise product sale point, and marking the past enterprise sale point is to compare with a current product sale range to determine an enterprise development degree;
in step S103, the monitoring and collecting unit is a sensor for collecting various information data of the sold product, so that the service condition of the sold product can be restored in the three-dimensional digital model, and the time point of occurrence of the fault is predicted according to the service condition, so that a professional can be arranged to perform on-site maintenance in time, and the influence of the fault on the use of the user is avoided;
in step S104, the detection content of the product detection unit includes: the product selling places, the product quantity, the product quality and the product models are detected so as to facilitate the understanding of the selling conditions of the enterprises about a certain class of products.
According to the above technical solution, in step S2, the model operation unit is used to perform simulation operation on the digital model, in the process of continuously simulating and operating the digital model by the simulation operation unit, the monitoring acquisition unit continuously acquires the usage data of the sold product and transmits the acquired usage data of the product to the data correction unit, the data correction unit compares the usage data of the product with the simulation operation data of the simulation operation unit, when there is a difference between the simulation data of the simulation operation unit and the usage data of the product received by the data correction unit, the data correction unit transmits the usage data of the product to the simulation adjustment unit, the simulation adjustment unit adjusts the digital model simulated and operated by the simulation operation unit according to the usage data of the product, the simulation operation unit continues simulation operation with the adjusted digital model, the simulation operation unit learns and adjusts the simulation process according to the difference between the product use data and the simulation operation data, so that the difference in the subsequent simulation process is reduced, the simulation operation unit can simulate the digital model to be closer to the actual use data of the product, the possible faults of the product in the use process can be predicted in advance by accelerating the simulation process of the digital model, the product can be overhauled in advance, and compared with the existing method for overhauling the product after the product is used for a certain time, the method is more accurate, on one hand, the fault point cannot come in advance due to improper use to affect the use of a customer, on the other hand, no problem is found during overhauling due to normal use, but the fault point comes to affect the use of the customer after the product is used for a period of time.
According to the above technical solution, in step S3, the product point of sale is marked on the two-dimensional digital model by the product trend unit according to the detection result of the product detection unit, and the coordinate positions of the product point of sale on the two-dimensional digital model form a set Q { (X) of coordinate positions1，Y1)，(X2，Y2)，...，(Xn，Yn) Wherein (X)n，Yn) Position coordinates on the two-dimensional digital model representing the point of sale of the nth product, and the position coordinates of the enterprise factory being (0, 0) of the sales quantity composition set P ═ P of the product point of sale1，P2，...，Pn}；
The sales capacity W of an enterprise product is calculated according to the following formula:
wherein, XiAbscissa value, Y, representing the ith Point of saleiOrdinate value, P, representing the ith Point of saleiIndicating the ith point of saleSales volume;
through the formula, the sales distance and the sales volume of each point of sale can be fully considered, so that the sales capacity of the enterprise products can be reflected, and further the development scale of the enterprise can be reflected, because the sales volume is larger as the sales location is farther, the sales capacity of the enterprise can be reflected more, therefore, the distances between all the sales points of the enterprise and the position of the enterprise are calculated, and the sales volume is multiplied by the distances, so that the situations that the sales location is farther but the sales volume is smaller are fully considered, and the sales capacity of the enterprise can be reflected more objectively;
calculating a vector difference value between the historical sales capacity W 'and the current sales capacity W of the enterprise according to the sales capacity W of the enterprise, wherein the calculation and analysis of W' are carried out according to the calculation mode of the sales capacity W of the enterprise:
Wdifference (D)＝W-W′；
When W isDifference (D)A indicates that the development speed of the enterprise is suitable for the project A;
when b is less than WDifference (D)< a, the development speed of the enterprise is suitable for the project B;
when 0 < WDifference (D)< b, it means that the development rate of the enterprise is suitable for the C project.
According to the technical scheme, every two adjacent coordinate points in the two-dimensional digital model are connected together to finally form an enterprise product sale range;
the sales range S of the enterprise is calculated according to the following formula:
the method has the advantages that the sales capacity of an enterprise for products can be accurately reflected through calculation of the area S of the sales range formed by sales points, and further the development scale and the development condition of the enterprise can be analyzed;
in step S4, the development scale of the enterprise analyzed by the development analysis unit is used to match the project, so as to assist the further development of the enterprise, and the suggestion reminding unit is used to remind the user of the development direction of the enterprise. .
Compared with the prior art, the invention has the beneficial effects that:
1. the invention applies the digital twin technology to customer management, so that the digital analysis and management of customer products and customer enterprises can be realized, the analysis result is more accurate and reliable, and the development planning of the enterprises is more met.
2. According to the invention, through establishing the two-dimensional digital model of the product sales places of the enterprises, the sales capability of the enterprises can be analyzed according to the sales volume and the sales distance of the sales points, so that corresponding projects are matched, and the development of the enterprises is facilitated.
3. The invention establishes a digital model of the sold product, acquires the information data of the product in the using process, and continuously corrects the data in the simulation operation process, so that the simulation is more suitable for the actual use of the product, and the simulation process is accelerated, so that the fault occurrence time point of the product can be analyzed in advance, the professional can be arranged to carry out on-site maintenance in time, and the resource waste condition caused by maintenance according to fixed time or the condition that specific faults cannot be maintained is avoided.
Drawings
FIG. 1 is a schematic diagram of a module structure of a customer management system based on digital twin technology according to the present invention;
FIG. 2 is a schematic diagram of a connection structure of a customer management system and method based on digital twin technology according to the present invention;
fig. 3 is a schematic diagram illustrating steps of a customer management method based on the digital twin technology according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 3, a customer management system based on a digital twin technology includes a modeling acquisition module, an enterprise analysis module, a product simulation module and a development management module;
the modeling acquisition module is used for establishing a digital model for a client product and a client enterprise and acquiring data of the client product and the client enterprise, so that the client product and the client enterprise can be digitally analyzed, the analysis result of the client product and the client enterprise is more accurate and the development of the client product and the client enterprise is more favorable, the enterprise analysis module is used for analyzing the development condition of the client enterprise according to the sales condition of the client product and digitally analyzing the development condition of the client enterprise through the sales of the client product so as to embody the concept of fuzziness and more intuitively understand the development of the enterprise, the product simulation module is used for simulating the future use condition of the client product according to the use data of the client product and simulating the digital client product by using a digital twin technology, the system comprises a development management module, a simulation data acquisition module, a simulation data analysis module, a development management module and a monitoring data analysis module, wherein the development management module is used for managing future development of client enterprises according to development conditions of the enterprises, so that enterprise projects can be reasonably planned, and the continuous development and development of the enterprises are assisted;
the output end of the modeling acquisition module is electrically connected with the input ends of the enterprise analysis module and the product simulation module, and the output end of the enterprise analysis module is electrically connected with the input end of the development management module.
The modeling acquisition module comprises a model establishing unit, a digital model, a monitoring acquisition unit, a product detection unit and a data uploading unit;
the model establishing unit is used for establishing a digital model of a client product and a client enterprise, wherein the digital model refers to a three-dimensional model of the client product and a two-dimensional model of product sales information of the client enterprise, and comprises the following steps: if the customer product is a water heater, a model building unit is used for building a digital three-dimensional model of the water heater, an enterprise sells the water heater to all over the country, a national plane two-dimensional model is built, the selling place of the product is marked on the plane two-dimensional model, and the monitoring acquisition unit is used for acquiring use data of the customer product after sale, such as: the water heater is heated to a set temperature in the using process for 5min, then the using data is sent to the three-dimensional model of the product through the wireless communication network, the heating process is simulated in the three-dimensional model, and the product detection unit is used for detecting and collecting various information data of the product when the product leaves a factory, for example: the system comprises a data uploading unit, a digital model and a data processing unit, wherein the data uploading unit is used for acquiring information data such as the total weight of products, the total number of the products, the selling places of the products, the models of the products and the like, so that the selling conditions of the products can be mastered, the development scale of an enterprise can be analyzed, and the data uploading unit is used for uploading various information data of the enterprise to the digital model, for example: the office area information of the enterprise, the personnel number information of the enterprise and the like, so that the development condition of the enterprise can be analyzed from another direction;
the model building unit outputs a digital model, and the output ends of the data uploading unit, the monitoring acquisition unit and the product detection unit are electrically connected with the input end of the digital model.
The enterprise analysis module comprises a product trend unit, a sales analysis unit and a development analysis unit;
the product trend unit is used for confirming the sales points of enterprise products and determining the sales condition of client products according to the sales range of the enterprise products in the planar two-dimensional model, the sales analysis unit is used for analyzing the sales condition of the enterprise products, determining the sales scale of the enterprise and determining the sales scale according to the sales range of the products, and the development analysis unit is used for analyzing the development condition of the enterprise according to the detection result of the product detection unit;
the output end of the product detection unit is electrically connected with the input end of the product trend unit, the output end of the product trend unit is electrically connected with the input end of the sales analysis unit, and the output ends of the sales analysis unit and the digital model are electrically connected with the input end of the development analysis unit.
The product simulation module comprises a data correction unit, a model operation unit and a simulation adjustment unit;
the simulation operation unit is used for accelerating and simulating the operation process of a sold product according to the acquired data of the monitoring acquisition unit, the data correction unit is used for correcting acceleration simulation data according to the acceleration simulation operation data of a corrected product, which is acquired by the monitoring acquisition unit, in the process of accelerating and simulating the operation of the product, the simulation adjustment unit is used for comparing the data corrected by the data correction unit with the data of the model operation unit and adjusting the digital model simulation process of the product according to the comparison result;
the output end of the digital model is electrically connected with the input end of the model operation unit, the output end of the monitoring acquisition unit is electrically connected with the input end of the data correction unit, the output end of the data correction unit is electrically connected with the input end of the model operation unit, the output ends of the data correction unit and the model operation unit are electrically connected with the input end of the simulation adjustment unit, and the output end of the simulation adjustment unit is electrically connected with the input end of the Lina model operation unit.
The development management module comprises an item matching unit and a suggestion reminding unit;
the project matching unit is used for matching corresponding development projects according to the analysis result of the development analysis unit and helping enterprises to further expand development scale, and the suggestion reminding unit is used for giving corresponding suggestions or opinions according to the projects matched by the enterprises;
the output end of the development analysis unit is electrically connected with the input end of the project matching unit, and the output end of the project matching unit is electrically connected with the input end of the suggestion reminding unit.
A customer management method based on a digital twin technology comprises the following steps:
s1, establishing a digital model of enterprise scale and enterprise products by using the modeling acquisition module, and inputting related information data into the digital model;
s2, simulating the operation condition of the products sold by enterprises through a digital model, and correcting the simulation process according to actual detection data;
s3, analyzing the product sale condition of the enterprise by utilizing an enterprise analysis module;
and S4, analyzing the development condition of the enterprise through the enterprise analysis module, and giving corresponding development suggestions or opinions.
In step S1, the method further includes:
s101, establishing a three-dimensional digital model of a customer product by using a model establishing unit, and establishing a two-dimensional digital model for sale of the customer product by using the model establishing unit;
s102, uploading the enterprise scale data to a two-dimensional digital model by using a data uploading unit, and labeling the two-dimensional digital model;
s103, collecting the use data of the sold product by using a monitoring and collecting unit, and uploading the use data to a three-dimensional digital model;
s104, collecting information data of a factory product by using a product detection unit, and marking the information data on a two-dimensional digital model;
in step S101, a three-dimensional coordinate system and a two-dimensional coordinate system are assigned to the three-dimensional digital model and the two-dimensional digital model, so that the digital model can be digitally operated and analyzed, and the operation and analysis results are more accurate;
in step S102, the enterprise scale data uploaded by the data uploading unit includes an enterprise location, an enterprise office area, an enterprise personnel number, and a past enterprise product sale point, and marking the past enterprise sale point is to compare with a current product sale range to determine an enterprise development degree;
in step S103, the monitoring and collecting unit is a sensor for collecting various information data of the sold product, so that the service condition of the sold product can be restored in the three-dimensional digital model, and the time point of occurrence of the fault is predicted according to the service condition, so that a professional can be arranged to perform on-site maintenance in time, and the influence of the fault on the use of the user is avoided;
in step S104, the detection content of the product detection unit includes: the product selling places, the product quantity, the product quality and the product models are detected so as to facilitate the understanding of the selling conditions of the enterprises about a certain class of products.
In step S2, the model operation unit is used to perform simulation operation on the digital model, during the process of continuously simulating and operating the digital model by the simulation operation unit, the monitoring acquisition unit continues to acquire usage data of sold products and transmits the acquired usage data of the products to the data correction unit, the data correction unit compares the usage data of the products with the simulation operation data of the simulation operation unit, when there is a difference between the simulation data of the simulation operation unit and the usage data of the products received by the data correction unit, the data correction unit transmits the usage data of the products to the simulation adjustment unit, the simulation adjustment unit adjusts the digital model simulated and operated by the simulation operation unit according to the usage data of the products, the simulation operation unit continues simulation operation with the adjusted digital model, the simulation operation unit learns and adjusts the simulation process according to the difference between the product use data and the simulation operation data, so that the difference in the subsequent simulation process is reduced, the simulation operation unit can simulate the digital model to be closer to the actual use data of the product, the possible faults of the product in the use process can be predicted in advance by accelerating the simulation process of the digital model, the product can be overhauled in advance, and compared with the existing method for overhauling the product after the product is used for a certain time, the method is more accurate, on one hand, the fault point cannot come in advance due to improper use to affect the use of a customer, on the other hand, no problem is found during overhauling due to normal use, but the fault point comes to affect the use of the customer after the product is used for a period of time.
In step S3, a product inspection ticket is utilizedAnd marking the point of sale of the product on a two-dimensional digital model by using a product trend unit according to the detection result of the element, wherein the coordinate position of the point of sale of the product on the two-dimensional digital model forms a set Q { (X) of coordinate positions1，Y1)，(X2，Y2)，...，(Xn，Yn) Wherein (X)n，Yn) Position coordinates on the two-dimensional digital model representing the point of sale of the nth product, and the position coordinates of the enterprise factory being (0, 0) of the sales quantity composition set P ═ P of the product point of sale1，P2，...，Pn}；
The sales capacity W of an enterprise product is calculated according to the following formula:
wherein, XiAbscissa value, Y, representing the ith Point of saleiOrdinate value, P, representing the ith Point of saleiIndicating sales at the ith point of sale;
through the formula, the sales distance and the sales volume of each point of sale can be fully considered, so that the sales capacity of the enterprise products can be reflected, and further the development scale of the enterprise can be reflected, because the sales volume is larger as the sales location is farther, the sales capacity of the enterprise can be reflected more, therefore, the distances between all the sales points of the enterprise and the position of the enterprise are calculated, and the sales volume is multiplied by the distances, so that the situations that the sales location is farther but the sales volume is smaller are fully considered, and the sales capacity of the enterprise can be reflected more objectively;
calculating a vector difference value between the historical sales capacity W 'and the current sales capacity W of the enterprise according to the sales capacity W of the enterprise, wherein the calculation and analysis of W' are carried out according to the calculation mode of the sales capacity W of the enterprise:
Wdifference (D)＝W-W′；
When W isDifference (D)A indicates that the development speed of the enterprise is suitable for the project A;
when b is less than WDifference (D)< a, tableShowing that the development speed of the enterprise is suitable for the project B;
when 0 < WDifference (D)< b, it means that the development rate of the enterprise is suitable for the C project.
In another embodiment:
connecting every two adjacent coordinate points in the two-dimensional digital model together to finally form an enterprise product sale range;
the sales range S of the enterprise is calculated according to the following formula:
through the calculation of the area S of the sales range formed by the sales points, the sales capability of the enterprise to the products can be accurately reflected, and further the development scale and the development condition of the enterprise can be analyzed.
Connecting every two adjacent coordinate points in the two-dimensional digital model together to finally form an enterprise product sale range;
the sales range S of the enterprise is calculated according to the following formula:
the method has the advantages that the sales capacity of an enterprise for products can be accurately reflected through calculation of the area S of the sales range formed by sales points, and further the development scale and the development condition of the enterprise can be analyzed;
in step S4, the development scale of the enterprise analyzed by the development analysis unit is used to match the project, so as to assist the further development of the enterprise, and the suggestion reminding unit is used to remind the user of the development direction of the enterprise.
In step S4, the development scale of the enterprise analyzed by the development analysis unit is used to match the project, so as to assist the further development of the enterprise, and the suggestion reminding unit is used to remind the user of the development direction of the enterprise, for example: enterprises can be advised to sell products to regions far away from the enterprise location, so that the development scale of the enterprises is increased, and corresponding projects are matched.
Example (b):
marking the point of sale of the product on the two-dimensional digital model by using the detection result of the product detection unit and the product trend unit, wherein the coordinate position of the point of sale of the product on the two-dimensional digital model forms a set Q { (120, 50), (60, 100), (30, 50), (110, 60), (30, 80) } of coordinate positions, and the coordinate of the position of an enterprise factory is (0, 0) and the sales number of the point of sale of the product forms a set P { (1200, 850, 680, 1020, 450 };
the sales capacity W of an enterprise product is calculated according to the following formula:
wherein, XiAbscissa value, Y, representing the ith Point of saleiOrdinate value, P, representing the ith Point of saleiIndicating sales at the ith point of sale;
marking the point of sale of the product on a two-dimensional digital model by using the detection result of the product detection unit and the product trend unit, wherein the coordinate positions of the point of sale of the product on the two-dimensional digital model form a set Q { (X) of coordinate positions1，Y1)，(X2，Y2)，...，(Xn，Yn) Wherein (X)n，Yn) Position coordinates on the two-dimensional digital model representing the point of sale of the nth product, and the position coordinates of the enterprise factory being (0, 0) of the sales quantity composition set P ═ P of the product point of sale1，P2，...，Pn}；
The sales capacity W of an enterprise product is calculated according to the following formula:
wherein, XiRepresenting sit-ups at ith point of saleScalar value, YiOrdinate value, P, representing the ith Point of saleiIndicating sales at the ith point of sale;
calculating the historical sales capacity W 'of the enterprise as a vector difference value between 386253 and the current sales capacity W according to the sales capacity W of the enterprise, wherein W' is calculated and analyzed according to the calculation mode of the sales capacity W of the enterprise:
Wdifference (D)＝W-W'＝461029-386253＝74776；
B＝50000＜WDifference (D)< a > 100000, which indicates that the development rate of the enterprise is suitable for the item B.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A customer management system based on digital twin technology is characterized in that: the customer management system comprises a modeling acquisition module, an enterprise analysis module, a product simulation module and a development management module;
the system comprises a modeling acquisition module, an enterprise analysis module, a product simulation module and a development management module, wherein the modeling acquisition module is used for establishing a digital model for a client product and a client enterprise and acquiring data of the client product and the client enterprise;
the output end of the modeling acquisition module is electrically connected with the input ends of the enterprise analysis module and the product simulation module, and the output end of the enterprise analysis module is electrically connected with the input end of the development management module.
2. A digital twin technology based customer management system according to claim 1, wherein: the modeling acquisition module comprises a model establishing unit, a digital model, a monitoring acquisition unit, a product detection unit and a data uploading unit;
the system comprises a model establishing unit, a monitoring and collecting unit, a product detecting unit and a data uploading unit, wherein the model establishing unit is used for establishing a digital model of a client product and a client enterprise, the digital model refers to a three-dimensional model of the client product and a two-dimensional model of product sale information of the client enterprise, the monitoring and collecting unit is used for collecting use data of the client product after sale, the product detecting unit is used for detecting and collecting various information data of the product when the product leaves a factory, and the data uploading unit is used for uploading various information data of the enterprise to the digital model;
the model building unit outputs a digital model, and the output ends of the data uploading unit, the monitoring acquisition unit and the product detection unit are electrically connected with the input end of the digital model.
3. A digital twinning technology based client management system as claimed in claim 2, wherein: the enterprise analysis module comprises a product trend unit, a sales analysis unit and a development analysis unit;
the product trend unit is used for confirming the sales points of enterprise products and determining the sales condition of client products according to the sales range of the enterprise products in the planar two-dimensional model, the sales analysis unit is used for analyzing the sales condition of the enterprise products, determining the sales scale of the enterprise and determining the sales scale according to the sales range of the products, and the development analysis unit is used for analyzing the development condition of the enterprise according to the detection result of the product detection unit;
the output end of the product detection unit is electrically connected with the input end of the product trend unit, the output end of the product trend unit is electrically connected with the input end of the sales analysis unit, and the output ends of the sales analysis unit and the digital model are electrically connected with the input end of the development analysis unit.
4. A digital twinning technology based client management system as claimed in claim 3, wherein: the product simulation module comprises a data correction unit, a model operation unit and a simulation adjustment unit;
the simulation operation unit is used for accelerating and simulating the operation process of a sold product according to the acquired data of the monitoring acquisition unit, the data correction unit is used for correcting acceleration simulation data according to the acceleration simulation operation data of a corrected product, which is acquired by the monitoring acquisition unit, in the process of accelerating and simulating the operation of the product, the simulation adjustment unit is used for comparing the data corrected by the data correction unit with the data of the model operation unit and adjusting the digital model simulation process of the product according to the comparison result;
the output end of the digital model is electrically connected with the input end of the model operation unit, the output end of the monitoring acquisition unit is electrically connected with the input end of the data correction unit, the output end of the data correction unit is electrically connected with the input end of the model operation unit, the output ends of the data correction unit and the model operation unit are electrically connected with the input end of the simulation adjustment unit, and the output end of the simulation adjustment unit is electrically connected with the input end of the Lina model operation unit.
5. A digital twin technology based customer management system according to claim 4, wherein: the development management module comprises an item matching unit and a suggestion reminding unit;
the project matching unit is used for matching corresponding development projects according to the analysis result of the development analysis unit and helping enterprises to further expand development scale, and the suggestion reminding unit is used for giving corresponding suggestions or opinions according to the projects matched by the enterprises;
the output end of the development analysis unit is electrically connected with the input end of the project matching unit, and the output end of the project matching unit is electrically connected with the input end of the suggestion reminding unit.
6. A customer management method based on a digital twin technology is characterized in that: the customer management method comprises the following steps:
s1, establishing a digital model of enterprise scale and enterprise products by using the modeling acquisition module, and inputting related information data into the digital model;
s2, simulating the operation condition of the products sold by enterprises through a digital model, and correcting the simulation process according to actual detection data;
s3, analyzing the product sale condition of the enterprise by utilizing an enterprise analysis module;
and S4, analyzing the development condition of the enterprise through the enterprise analysis module, and giving corresponding development suggestions or opinions.
7. A customer management method based on digital twin technology according to claim 6, characterized in that: in step S1, the method further includes:
s101, establishing a three-dimensional digital model of a customer product by using a model establishing unit, and establishing a two-dimensional digital model for sale of the customer product by using the model establishing unit;
s102, uploading the enterprise scale data to a two-dimensional digital model by using a data uploading unit, and labeling the two-dimensional digital model;
s103, collecting the use data of the sold product by using a monitoring and collecting unit, and uploading the use data to a three-dimensional digital model;
s104, collecting information data of a factory product by using a product detection unit, and marking the information data on a two-dimensional digital model;
in step S101, a three-dimensional coordinate system and a two-dimensional coordinate system are assigned to the three-dimensional digital model and the two-dimensional digital model;
in step S102, the enterprise scale data uploaded by the data uploading unit includes an enterprise location, an enterprise office area, an enterprise personnel number, and an enterprise past product point of sale;
in step S103, the monitoring and collecting unit is a sensor for collecting various information data of the sold product, so that the service condition of the sold product can be restored in the three-dimensional digital model, and the time point of occurrence of the failure is predicted according to the service condition;
in step S104, the detection content of the product detection unit includes: and detecting the product selling place, the product quantity, the product quality and the product model.
8. A customer management method based on digital twin technology according to claim 7, characterized in that: in step S2, the model operation unit is used to perform simulation operation on the digital model, during the process of continuously simulating and operating the digital model by the simulation operation unit, the monitoring acquisition unit continues to acquire usage data of sold products and transmits the acquired usage data of the products to the data correction unit, the data correction unit compares the usage data of the products with the simulation operation data of the simulation operation unit, when there is a difference between the simulation data of the simulation operation unit and the usage data of the products received by the data correction unit, the data correction unit transmits the usage data of the products to the simulation adjustment unit, the simulation adjustment unit adjusts the digital model simulated and operated by the simulation operation unit according to the usage data of the products, the simulation operation unit continues simulation operation with the adjusted digital model, the simulation operation unit learns and adjusts the simulation process according to the difference between the product use data and the simulation operation data so as to reduce the difference in the subsequent simulation process, so that the simulation operation unit can simulate the digital model closer to the actual use data of the product, and the possible faults of the product in the use process can be predicted in advance by accelerating the simulation process of the digital model.
9. Customer management based on digital twinning technology as claimed in claim 8The method is characterized in that: in step S3, the product point of sale is marked on the two-dimensional digital model by the product trend unit using the detection result of the product detection unit, and the coordinate positions of the product point of sale on the two-dimensional digital model form a set Q { (X) of coordinate positions1，Y1)，(X2，Y2)，...，(Xn，Yn) Wherein (X)n，Yn) Position coordinates on the two-dimensional digital model representing the point of sale of the nth product, and the position coordinates of the enterprise factory being (0, 0) of the sales quantity composition set P ═ P of the product point of sale1，P2，...，Pn}；
The sales capacity W of an enterprise product is calculated according to the following formula:
wherein, XiAbscissa value, Y, representing the ith Point of saleiOrdinate value, P, representing the ith Point of saleiIndicating sales at the ith point of sale;
calculating a vector difference value between the historical sales capacity W 'and the current sales capacity W of the enterprise according to the sales capacity W of the enterprise, wherein the calculation and analysis of W' are carried out according to the calculation mode of the sales capacity W of the enterprise:
Wdifference (D)＝W-W′；
When W isDifference (D)A indicates that the development speed of the enterprise is suitable for the project A;
when b is less than WDifference (D)< a, the development speed of the enterprise is suitable for the project B;
when 0 < WDifference (D)< b, it means that the development rate of the enterprise is suitable for the C project.
10. A customer management method based on digital twin technology according to claim 9, characterized in that: connecting every two adjacent coordinate points in the two-dimensional digital model together to finally form an enterprise product sale range;
the sales range S of the enterprise is calculated according to the following formula:
the method has the advantages that the sales capacity of an enterprise for products can be accurately reflected through calculation of the area S of the sales range formed by sales points, and further the development scale and the development condition of the enterprise can be analyzed;
in step S4, the development scale of the enterprise analyzed by the development analysis unit is used to match the project, so as to assist the further development of the enterprise, and the suggestion reminding unit is used to remind the user of the development direction of the enterprise.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110321013.9A CN112990498A (en) | 2021-03-25 | 2021-03-25 | Client management system and method based on digital twin technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110321013.9A CN112990498A (en) | 2021-03-25 | 2021-03-25 | Client management system and method based on digital twin technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112990498A true CN112990498A (en) | 2021-06-18 |
Family
ID=76333608
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110321013.9A Pending CN112990498A (en) | 2021-03-25 | 2021-03-25 | Client management system and method based on digital twin technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112990498A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160189079A1 (en) * | 2014-12-31 | 2016-06-30 | Dassault Systemes Americas Corp. | Method and system for an information engine for analytics and decision-making |
| CN107193994A (en) * | 2017-06-07 | 2017-09-22 | 前海梧桐（深圳）数据有限公司 | Business decision point method for digging and its system based on mass data |
| CN109559039A (en) * | 2018-11-29 | 2019-04-02 | 贵州航天云网科技有限公司 | A kind of virtual factory business cooperation system based on the twin technology of number |
-
2021
- 2021-03-25 CN CN202110321013.9A patent/CN112990498A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160189079A1 (en) * | 2014-12-31 | 2016-06-30 | Dassault Systemes Americas Corp. | Method and system for an information engine for analytics and decision-making |
| CN107193994A (en) * | 2017-06-07 | 2017-09-22 | 前海梧桐（深圳）数据有限公司 | Business decision point method for digging and its system based on mass data |
| CN109559039A (en) * | 2018-11-29 | 2019-04-02 | 贵州航天云网科技有限公司 | A kind of virtual factory business cooperation system based on the twin technology of number |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6423546B2 (en) | Advanced data cleansing system and method | |
| KR102169561B1 (en) | Data cleansing system and method for inferring feed composition | |
| US20100268564A1 (en) | Automatic self-optimizing queue management system | |
| CN114266944B (en) | Rapid model training result checking system | |
| CN107767191A (en) | A kind of method based on medical big data prediction medicine sales trend | |
| JP2007170021A (en) | Water distribution and pipeline information analysis system | |
| CN113886973A (en) | Ship navigational speed processing method, device and processing equipment based on virtual-real mapping | |
| TWI738016B (en) | Intelligent learning mechanism and adaptive regulation system for liquid gas filling | |
| US20220137585A1 (en) | Engineering based digital twin platform | |
| Yuan et al. | Calibration of stochastic computer models using stochastic approximation methods | |
| CN105247374A (en) | Methods and systems for measurement and verification weighting with temperature distribution | |
| CN115098829A (en) | Online carbon emission analysis method based on multi-source metering data | |
| CN116433090A (en) | Intelligent gas work order execution quality assessment method, internet of things system and storage medium | |
| CN112990498A (en) | Client management system and method based on digital twin technology | |
| CN116168305A (en) | Ground object target dynamic detection system based on remote sensing image | |
| CN115424106A (en) | Trolley detection method and device, electronic equipment and storage medium | |
| CN113778042B (en) | Industrial control equipment instruction simulation operation communication system based on informatization modeling | |
| CN113408764B (en) | Product online technical state management and control system based on digital twins | |
| CN113468693A (en) | Pressure sensor acquisition system based on big data | |
| CN116997867A (en) | Method and system for predicting the operation of a technical installation | |
| CN112700153A (en) | Benefit accounting model and construction method and use method thereof | |
| Schneider et al. | Predicting energy consumption using machine learning | |
| CN113049793A (en) | Production detection verification method and device for Abs composite material | |
| JP2004021583A (en) | Maintenance method of plant instrumentation system | |
| CN111176931A (en) | Operation monitoring method, operation monitoring device, server and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210618 |