CN114185986A - Visual operation management system and method based on big data - Google Patents

Visual operation management system and method based on big data Download PDF

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CN114185986A
CN114185986A CN202111514571.3A CN202111514571A CN114185986A CN 114185986 A CN114185986 A CN 114185986A CN 202111514571 A CN202111514571 A CN 202111514571A CN 114185986 A CN114185986 A CN 114185986A
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李良
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Shenzhen Yingfeituozhiyuan Technology Co ltd
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Abstract

The invention relates to the technical field of operation management, in particular to a visualized operation management system and method based on big data. The system comprises a service current situation acquisition unit, a summary integration unit and an operation management unit. The invention collects the current business situation data in the intelligent park in the big data through the current business situation collecting unit, then stores the current business situation data in the summarizing and integrating unit, generates the visual chart to display the current business situation data, so that the client and the staff can know the current business situation in the park in time, and the management decision and the daily park operation management are convenient.

Description

Visual operation management system and method based on big data
Technical Field
The invention relates to the technical field of operation management, in particular to a visualized operation management system and method based on big data.
Background
The intelligent park is a park form under the environment of new generation information technology support and knowledge social innovation 2.0, the park is generally planned and constructed by governments (private enterprises and government cooperation), has complete water supply, power supply, gas supply, communication, roads, warehousing and other supporting facilities and reasonable layout, and can meet standard buildings or building groups required by production and scientific experiments in a certain specific industry, and comprises an industrial park, a logistics park, a metropolitan industrial park, a scientific park, an creative park and the like, the intelligent park emphasizes the application of new generation information technologies such as internet of things, cloud computing, big data and the like in park construction and management, and park production living environment and innovative ecological construction facing the environment of knowledge social innovation 2.0;
however, present wisdom garden is when the operation management, can not show the business current situation in the garden changes the attitude, lead to staff and customer can not audio-visually know the operation condition in garden, for example when the customer wants to lease a certain position in the garden, can not be autonomic know whether have the vacancy in the garden, still need the staff to introduce, marketing time has been increased, the manpower is wasted, and because can not audio-visually present the business current situation of garden management, the staff can not know the customer condition the very first time, easily cause customer's loss.
Disclosure of Invention
The invention aims to provide a visualized operation management system and method based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, one of the objectives of the present invention is to provide a visual operation management system based on big data, which includes a service status acquisition unit, a summary integration unit and an operation management unit;
the current service situation acquisition unit is used for mining the current service situation data through big data in the intelligent park;
the summary integration unit is used for storing the data mined by the service current situation acquisition unit and displaying the service current situation data in a visual chart form;
the operation management unit is used for perceiving the operation state of the client in the intelligent park, and comprises the following postures:
the operation is finished when the attitude I and the operation state of the client are only browsing and no subsequent operation;
and secondly, after the operation state of the client is browsing and the next operation is carried out, the next operation data is transmitted to a service current situation acquisition unit, and then the visual chart is updated through the summarizing and integrating unit.
When the intelligent park monitoring system is used specifically, the current business situation data in the intelligent park are collected in the big data through the current business situation collecting unit, then the current business situation data are stored in the summarizing and integrating unit, the current business situation data are displayed in a visual chart form, so that a client and a worker can know the current business situation in the park in time, management decision and daily park operation management are facilitated, after the client browses the visual chart and carries out next operation, after the information of the intelligent park is changed, the next operation data can be transmitted to the current business situation collecting unit, then the visual chart is updated through the summarizing and integrating unit, the information in the intelligent park is updated, and the accuracy of follow-up client and worker observation is improved.
Preferably, the service presence includes a lease presence, a customer status and hardware data.
Preferably, the big data mining adopts a decision tree acquisition algorithm, and comprises the following steps:
presetting a plurality of training samples as a trunk;
if the sample attribute is in the current training sample, the sample becomes the leaf of the trunk;
if the sample attribute is not in the current training sample, traversing all the trunks until the trunk with the sample attribute is found;
and sensing the attribute content of the sample according to the training sample, namely the current business data in the intelligent park.
Preferably, the collection and integration unit comprises a storage module, a configuration XML module, a chart analysis module and a visual display module;
the storage module is used for storing the service current situation data mined by the service current situation acquisition unit to form a database;
the configuration XML module is used for configuring the layout information of the current business situation and generating XML configuration information in a report;
the chart analysis module is used for generating a visual chart of the intelligent park according to the service current situation data stored in the storage module and the XML configuration information;
the visual display module is used for displaying the visual chart generated by the chart analysis module through display equipment.
Preferably, the visual display module can adopt an LED display screen.
Preferably, the operation management unit comprises an operation modification module, a perception module and an update transmission module;
the operation modification module is used for setting the data modification authority of a client to the intelligent park;
the sensing module is used for receiving a data modification operation signal;
and the updating transmission module is used for transmitting the content of the operation signal received by the sensing module to the service current situation acquisition unit.
Preferably, the sensing module adopts a signal sensing algorithm, and comprises the following steps:
the method comprises the steps of firstly recording the initial data state of the current intelligent park, influencing the data state when a client modifies data, receiving signals different from the initial data state of the current data state, converting the different signals into data modification operation signals, and sensing the operation of the client.
Preferably, the operation management unit further comprises a timing reminding module, and the timing reminding module is used for reminding the customer when the intelligent park position marked by the customer is vacant.
Another object of the present invention is to provide a visualized operation management method based on big data, including any one of the above visualized operation management systems based on big data, including the following steps:
s1, mining the current data of the service for the big data in the intelligent park through a current service state acquisition unit;
s2, storing the service current data in a summary integration unit, and displaying the service current data in a visual chart form;
and S3, sensing the operation state of the client in the intelligent park through the operation management unit, transmitting the next operation data to the service status acquisition unit after the operation state of the client is browsing and the next operation is carried out, and updating the visual chart through the summarizing and integrating unit.
Compared with the prior art, the invention has the beneficial effects that: the intelligent park management system has the advantages that the current service situation data in the intelligent park are collected in big data through the current service situation collecting unit, then the current service situation data are stored in the collecting and integrating unit, the current service situation data are displayed in a visual chart mode, clients and workers can timely know the current service situation in the park, management decision and daily park operation management are facilitated, after the clients browse the visual charts, the clients can conduct operation on the next step, after information of the intelligent park is changed, the next step operation data can be transmitted to the current service situation collecting unit, then the visual charts are updated through the collecting and integrating unit, the information in the intelligent park is updated, and the accuracy of observation of the subsequent clients and the workers is improved.
Drawings
FIG. 1 is a schematic diagram of the overall structure of embodiment 1;
FIG. 2 is an overall flow chart of example 1;
FIG. 3 is a flowchart of the decision tree collection algorithm of example 1.
The various reference numbers in the figures mean:
100. a service current situation acquisition unit; 200. a collecting and integrating unit; 300. an operation management unit.
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.
Example 1
As shown in fig. 1 to 3, one of the objects of the present invention is to provide a visualized operation management system based on big data, which includes a current business situation collecting unit 100, a summary integrating unit 200, and an operation management unit 300;
the current service situation acquisition unit 100 is used for mining current service situation data through big data in the smart park, so that all current service situation data can be conveniently collected and can be conveniently searched subsequently;
specifically, the service current status includes a lease current status, a customer status and hardware data;
the intelligent park renting method includes the steps that the renting current situation is whether different positions in the intelligent park are rented or not, if the intelligent park rented is rented, the situation is displayed as a guest, otherwise, the situation is not rented, the situation is displayed as a vacancy, the situation of the guest is expressed as the position where the intelligent park is rented with the guest, hardware data are expressed as contract time limit, renting time and the like of the guest rented, and therefore the operation situation of the intelligent park is conveniently and comprehensively known.
In order to improve the accuracy of data acquisition, a decision tree acquisition algorithm is adopted for big data mining, and the method comprises the following steps:
presetting a plurality of training samples as a trunk;
if the sample attribute is in the current training sample, the sample becomes the leaf of the trunk;
if the sample attribute is not in the current training sample, traversing all the trunks until the trunk with the sample attribute is found;
and sensing the attribute content of the sample according to the training sample, namely the current business data in the intelligent park.
The working principle is as follows: assuming that the training samples of the lease status, the customer situation and the hardware data are respectively preset as the trunk, and whether different park positions are leased or not corresponds to different sample attributes, taking the intelligent park A already leased as an example, the attribute of the sample on the tree trunk is leased at the position A under the current lease condition, the content of the leaf is leased at the position A, the lease condition at the position A of the intelligent park can be acquired by means of the tree trunk under the current lease condition, and in the same way, in the case of a customer, the attribute of the sample on the trunk is that A is at the position of a of the intelligent park and the corresponding customer information, the position a corresponding to the client information at the position A in the content of the tree leaves can acquire the position a and the client information at the position A of the intelligent park according to the condition of the client, where the a position represents the orientation, e.g., 400m from the smart campus A to the smart campus B, the relative position of A throughout the smart campus can be known.
The summary integration unit 200 is used for storing data mined by the current business situation acquisition unit 100, displaying current business situation data in a visual chart form, and displaying the current business situation more visually, so that workers and customers can know the state of the smart park in time, and the subsequent enrollment marketing efficiency is improved;
in order to facilitate subsequent browsing of clients and workers and ensure integrity, the summarizing and integrating unit 200 comprises a storage module, a configuration XML module, a chart analyzing module and a visual display module;
the storage module is used for storing the service current situation data mined by the service current situation acquisition unit 100 to form a database;
the configuration XML module is used for configuring the layout information of the current business situation and generating XML configuration information in the report;
the chart analysis module is used for generating a visual chart of the intelligent park according to the service current situation data stored in the storage module and the XML configuration information;
the visual display module is used for displaying the visual chart generated by the chart analysis module through display equipment.
When the summary integration unit 200 is used specifically, the service current situation data is stored through the storage module to form a database, the service current situation data is convenient to be subsequently called from the database, then the layout information of the service current situation is configured through the configuration XML module, the report XML configuration information is generated, namely, a template of a visual chart is designed, the service current situation data in the database is filled into the template of the visual chart through the chart analysis module to form the visual chart of the intelligent park, and then the visual chart is displayed through the visual display module, so that the subsequent browsing of a client and a worker is convenient.
In order to visually display the generated visual chart of the intelligent park, the visual display module can adopt an LED display screen;
specifically, the working principle of the LED display screen is known to those skilled in the art, and a computer is used as a processing control center, and an electronic screen corresponds to a certain area of a Video Graphics Array (VGA) window point by point, and the display contents are synchronized in real time, so that the generated visual graph of the smart park is visually displayed.
The operation management unit 300 is used for sensing the operation state of the client in the intelligent park, and comprises the following gestures:
the operation is finished when the attitude I and the operation state of the client are only browsing and no subsequent operation;
secondly, after the operation state of the client is browsing and the next operation is performed, the next operation data is transmitted to the service current situation acquisition unit 100, and then the visual chart is updated through the summarizing and integrating unit 200;
wherein, customer's next step operation can be for leasing, withdraw operation such as lease and purchase, consequently carries out operation back on next step at the customer, updates the position distribution condition in the wisdom garden, can update the visual chart of the integration unit 200 that gathers in real time, and the wisdom garden information of avoiding other customers to know has the mistake, makes the staff observe visual chart and actual wisdom garden data matching at every turn, improves degree of automation.
In order to facilitate real-time update of the current status of the smart park, the operation management unit 300 includes an operation modification module, a sensing module and an update transmission module;
the operation modification module is used for setting the data modification authority of the client to the intelligent park;
the sensing module is used for receiving a data modification operation signal;
the update transmission module is configured to transmit the content of the operation signal received by the sensing module to the service status acquisition unit 100.
Specifically, when the operation management unit 300 is used specifically, the modification permission of the client is set through the operation modification module, so that the client has the operation functions of leasing, quitting and purchasing, the data is modified after the client operates, the sensing module receives the operation data modification signal, and meanwhile, the operation signal modification content is transmitted through the update transmission module, so that the service status of the smart park is conveniently updated in real time.
The sensing module adopts a signal sensing algorithm and comprises the following steps:
the method comprises the steps of firstly recording the initial data state of the current intelligent park, influencing the data state when a client modifies data, receiving signals different from the initial data state of the current data state, converting the different signals into data modification operation signals, and sensing the operation of the client.
For example, when the tenant browses the visual chart through the operation management unit 300 and performs the next operation to quit the lease, the lease is stopped at a position leased before in the smart park by the tenant, after the operating state of the tenant is sensed, the position information of the tenant currently located at this time is transmitted to the service current situation acquisition unit 100, then the visual chart is updated through the summary integration unit 200, the position of the tenant currently located is updated to be a vacant position, and the tenant needing to rent can select conveniently;
for example, after browsing the visual chart, the new customer performs the next operation of renting through the operation management unit 300, which indicates that the current new customer selects a vacancy corresponding to the renting, and after sensing the operation state of the customer, transmits the position information of the renting of the current new customer to the service current situation acquisition unit 100, and then updates the visual chart through the summary integration unit 200, updates the position to the customer, so that the staff can know the distribution position of the customer conveniently.
When the intelligent park monitoring system is used specifically, the current business situation data in the intelligent park are collected in big data through the current business situation collecting unit 100, then the current business situation data are stored in the summarizing and integrating unit 200, the current business situation data are displayed in a visual chart mode, so that a client and a worker can know the current business situation in the park in time, management decision and daily park operation management are facilitated, after the client browses the visual chart and carries out next operation, after information of the intelligent park is changed, the next operation data can be transmitted to the current business situation collecting unit 100, then the visual chart is updated through the summarizing and integrating unit 200, the information in the intelligent park is updated, and the accuracy of subsequent observation of the client and the worker is improved.
Another object of the present invention is to provide a visualized operation management method based on big data, including any one of the above visualized operation management systems based on big data, including the following steps:
s1, mining the current data of the business for the big data in the intelligent park through the current business situation acquisition unit 100;
s2, storing the service status data in the summary integration unit 200, and displaying the service status data in a visual chart form;
and S3, sensing the operation state of the client in the intelligent park through the operation management unit 300, transmitting the next operation data to the service status acquisition unit 100 after the operation state of the client is browsing and the next operation, and updating the visual chart through the summary integration unit 200.
Example 2
In view of the fact that the client has an object to rent a smart park location, which is currently rented, the present embodiment differs from embodiment 1 in that, in order to make the client discover the object location in time when it is converted into a vacant location:
the operation management unit 300 further comprises a timing reminding module for reminding the client when the intelligent park position marked by the client is vacant;
specifically, the client can mark the position of the wisdom park which wants to rent, and simultaneously reserve the corresponding contact telephone, when the target position is converted from rented to vacant position, the vacant position signal is received, and the signal is converted into text to send information to the client.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (9)

1. A visual operation management system based on big data is characterized in that: the system comprises a service status acquisition unit (100), a summary integration unit (200) and an operation management unit (300);
the current service situation acquisition unit (100) is used for mining current service situation data through big data in the intelligent park;
the summary integration unit (200) is used for storing the data mined by the service current situation acquisition unit (100) and displaying the service current situation data in a visual chart form;
the operation management unit (300) is used for sensing the operation state of the client in the intelligent park, and comprises the following gestures:
the operation is finished when the attitude I and the operation state of the client are only browsing and no subsequent operation;
and in the second posture, after the operation state of the client is browsing and the next operation is carried out, the next operation data is transmitted to the service current situation acquisition unit (100), and then the visual chart is updated through the summarizing and integrating unit (200).
2. The big data based visualization operation management system according to claim 1, wherein: the service presence includes a lease presence, a customer status, and hardware data.
3. The big data based visualization operation management system according to claim 1, wherein: the big data mining adopts a decision tree acquisition algorithm, and comprises the following steps:
presetting a plurality of training samples as a trunk;
if the sample attribute is in the current training sample, the sample becomes the leaf of the trunk;
if the sample attribute is not in the current training sample, traversing all the trunks until the trunk with the sample attribute is found;
and sensing the attribute content of the sample according to the training sample, namely the current business data in the intelligent park.
4. The big data based visualization operation management system according to claim 1, wherein: the gathering and integrating unit (200) comprises a storage module, a configuration XML module, a chart analyzing module and a visual display module;
the storage module is used for storing the service current situation data mined by the service current situation acquisition unit (100) to form a database;
the configuration XML module is used for configuring the layout information of the current business situation and generating XML configuration information in a report;
the chart analysis module is used for generating a visual chart of the intelligent park according to the service current situation data stored in the storage module and the XML configuration information;
the visual display module is used for displaying the visual chart generated by the chart analysis module through display equipment.
5. The big data based visualization operation management system according to claim 4, wherein: the visual display module can adopt an LED display screen.
6. The big data based visualization operation management system according to claim 1, wherein: the operation management unit (300) comprises an operation modification module, a perception module and an update transmission module;
the operation modification module is used for setting the data modification authority of a client to the intelligent park;
the sensing module is used for receiving a data modification operation signal;
the updating transmission module is used for transmitting the content of the operation signal received by the perception module to a service status acquisition unit (100).
7. The big data based visualization operation management system according to claim 6, wherein: the sensing module adopts a signal sensing algorithm and comprises the following steps:
the method comprises the steps of firstly recording the initial data state of the current intelligent park, influencing the data state when a client modifies data, receiving signals different from the initial data state of the current data state, converting the different signals into data modification operation signals, and sensing the operation of the client.
8. The big data based visualization operation management system according to claim 1, wherein: the operation management unit (300) further comprises a timing reminding module, and the timing reminding module is used for reminding the client when the intelligent park position marked by the client is a vacant position.
9. The visualized operation management method based on big data comprises the visualized operation management system based on big data in any one of claims 1-8, and is characterized in that: the method comprises the following steps:
s1, mining the current data of the business for the big data in the intelligent park through a current business situation acquisition unit (100);
s2, storing the service status data in a summary integration unit (200), and displaying the service status data in a visual chart form;
s3, the operation management unit (300) senses the operation state of the customer in the intelligent park, the next operation is carried out after the operation state of the customer is browsing, the next operation data is transmitted to the service current situation acquisition unit (100), and then the visual chart is updated through the summarizing and integrating unit (200).
CN202111514571.3A 2021-12-13 2021-12-13 Visual operation management system and method based on big data Pending CN114185986A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114443038A (en) * 2022-04-08 2022-05-06 绿城科技产业服务集团有限公司 Zero code configurable display system based on browser

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114443038A (en) * 2022-04-08 2022-05-06 绿城科技产业服务集团有限公司 Zero code configurable display system based on browser
CN114443038B (en) * 2022-04-08 2023-08-18 绿城科技产业服务集团有限公司 Zero code configurable display system based on browser

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