CN114066418A - Fire control data processing system based on data center - Google Patents
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Abstract
The invention provides a fire-fighting data processing system based on a data center, and belongs to the technical field of fire fighting. The invention provides a fire-fighting data processing system based on a data center, which comprises: the intelligent fire fighting host is connected with the fire fighting equipment and used for acquiring data of the fire fighting equipment; the intelligent fire-fighting software platform is used for generating alarm information according to the data of the fire-fighting equipment; and the data center station is used for providing data service for the intelligent fire-fighting software platform. According to the intelligent fire fighting equipment data processing method and system, the intelligent fire fighting host is used for collecting fire fighting equipment data, and an intelligent fire fighting software platform is built on the basis of the data, so that the fire fighting equipment data is processed to obtain alarm information, the data can be conveniently analyzed and applied, and the fire fighting safety situation can be sensed in real time.
Description
Technical Field
The invention belongs to the technical field of fire fighting, and particularly relates to a fire fighting data processing system based on a data center station.
Background
At present, the fire fighting environment is complex, and each fire fighting system has an independent fire fighting host, such as an FAS host, an air extinguishing host, a temperature sensing optical fiber host, a fire fighting power supply host, a fire door monitoring host and the like. The management of each host system is independent, the data storage is dispersed, the transverse data sharing and analysis application are only driven by specific services, the value excavation of global data is difficult to carry out, and the problems of untimely early warning, untimely maintenance, insufficient fire extinguishing and organization evacuation capacity, untimely push of emergency plans, incapability of sensing the running state of a fire-fighting system and the like exist in daily fire-fighting supervision.
Disclosure of Invention
The invention aims to provide a fire-fighting data processing system based on a data center station, and aims to solve the problem that the existing fire-fighting system is not timely in alarm.
In order to achieve the purpose, the invention adopts the technical scheme that:
a fire protection data processing system based on a data center, comprising:
the intelligent fire fighting host is connected with the fire fighting equipment and used for acquiring data of the fire fighting equipment; the fire-fighting equipment comprises a fire alarm system, a gas fire extinguishing system, a temperature sensing optical fiber system, an electrical fire system and a fire-fighting power supply system;
the intelligent fire-fighting software platform is used for generating alarm information according to the fire-fighting equipment data;
and the data center station is used for providing data service for the fire fighting equipment data.
Preferably, the intelligent fire-fighting software platform comprises:
a terminal display module;
the data bus module is used for inserting the fire-fighting equipment data into a time sequence database, processing the fire-fighting equipment data and pushing the processed fire-fighting equipment data to the terminal display module;
and the fire service module is used for analyzing the data of the fire-fighting equipment to generate the alarm information.
Preferably, the data bus module includes:
the data receiving and processing service unit is used for inserting the fire-fighting equipment data into a time sequence database in real time and pushing the fire-fighting equipment data to the terminal display module;
and the alarm engine service unit is used for generating the alarm information according to the fire-fighting equipment data.
Preferably, the data bus module further includes:
and the linkage engine service unit is used for monitoring a data message queue of the time sequence database, matching the data message queue with a preset linkage rule, performing linkage calculation to obtain a linkage action event, and pushing the linkage action event to the terminal display module.
Preferably, the fire service module includes:
the fire early warning service unit is used for generating early warning information according to the fire-fighting equipment data;
the fire fighting auxiliary service unit is used for displaying a plan view of a fire point and the surrounding environment, a fire fighting facility arrangement position view, a fire fighting facility plan view of a fire building and the operation state of the fire fighting facility to a scene or other rescuers.
Preferably, the fire service module further includes:
and the fire-fighting drilling service unit is used for providing the fire-fighting evacuation actual combat drilling function.
Preferably, the fire service module further includes:
the single-point control service unit is used for manually controlling the fire-fighting equipment;
and the equipment state pre-knowing service unit is used for pre-knowing the operation trend of the fire-fighting equipment.
Preferably, the data center station includes:
the data source management module is used for providing data services of adding data sources, deleting data sources, editing data sources and searching data sources;
the ETL tool module is used for providing data services of ETL job list display, ETL job management, ETL job template management, ETL processor management and ETL processor service management;
and the data exchange module is used for providing data services called by the viewing external data service API and the viewing data service API.
Preferably, the data center station further includes:
the metadata management module is used for adding, editing and deleting the metadata of the data source;
and the asset directory management module is used for grouping, previewing and searching the data assets.
The fire-fighting data processing system based on the data center station has the advantages that: compared with the prior art, the system provided by the invention comprises: the intelligent fire fighting host is connected with the fire fighting equipment and used for acquiring data of the fire fighting equipment; the intelligent fire-fighting software platform is used for generating alarm information according to the data of the fire-fighting equipment; and the data center station is used for providing data service for the intelligent fire-fighting software platform. According to the intelligent fire fighting equipment data processing method and system, the intelligent fire fighting host is used for collecting fire fighting equipment data, and an intelligent fire fighting software platform is built on the basis of the data, so that the fire fighting equipment data is processed to obtain alarm information, the data can be conveniently analyzed and applied, and the fire fighting safety situation can be sensed in real time.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic diagram of a fire-fighting data processing system based on a data center station according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention aims to provide a fire-fighting data processing system based on a data center station, and aims to solve the problem that the existing fire-fighting system is not timely in alarm.
In order to achieve the purpose, the invention adopts the technical scheme that:
referring to fig. 1, a fire fighting data processing system based on a data center station includes:
the intelligent fire fighting host is connected with the fire fighting equipment and used for acquiring data of the fire fighting equipment; the fire-fighting equipment comprises a fire alarm system, a gas fire extinguishing system, a temperature sensing optical fiber system, an electrical fire system and a fire-fighting power supply system.
In the present invention, the fire fighting equipment data includes: the system comprises fire alarm system operation data, gas fire extinguishing system operation data, temperature sensing optical fiber system operation data, electrical fire system operation data, fire-fighting power supply system operation data, external data and other data, wherein the fire alarm system operation data comprises smoke sensing, temperature sensing alarm and state and hand reporting data, the gas fire extinguishing system operation data comprises fire alarm, early warning, fault and state data, the temperature sensing optical fiber system operation data comprises temperature, alarm, fault and position data, the electrical fire system operation data comprises temperature, alarm and fault data, the fire-fighting power supply system operation data comprises voltage, fault, alarm and state data, and the external data comprises meteorological data and geographic data.
And the intelligent fire-fighting software platform is used for generating alarm information according to the fire-fighting equipment data.
And the data center station is used for providing data service for the fire-fighting equipment data.
According to the intelligent fire-fighting software platform, data of fire-fighting equipment produced on a rail transit full-service line are obtained, and the intelligent fire-fighting software platform is formed. According to the fire protection production operation business, a data fusion business application is constructed on the intelligent fire protection software platform, and the business application acquires data through the data center and operates business operation. The data center station provides data service for the intelligent fire-fighting software platform.
Furthermore, the intelligent fire-fighting software platform is divided into three layers, namely a data bus module, a fire-fighting service module and a terminal display module. The data bus module comprises a data receiving and processing function service unit, an alarm engine service unit, a data pushing service unit and a linkage engine service unit; the fire service module comprises a fire early warning service unit, a single-point control service unit, a fire drilling service unit, a fire fighting auxiliary service unit and an equipment state foreknowledge unit; the terminal display module comprises a real-time monitoring unit, a data analysis unit, a network management unit and the like.
It should be noted that each service under the data bus module and the fire service module is developed in a micro-service form and is deployed in a container mode, so that the high starting point and the advancement of the system are ensured, and the software platform comprises service discovery and registration, load balancing, fusing degradation, call chain tracking, configuration management and the like.
And the data bus module is used for inserting the fire-fighting equipment data into the time sequence database, processing the fire-fighting equipment data and pushing the processed fire-fighting equipment data to the terminal display module. In the present invention, a data bus module includes: and the data receiving and processing service unit is used for inserting the data of the fire-fighting equipment into the time sequence database in real time and pushing the data of the fire-fighting equipment to the terminal display module.
In practical application, the data receiving and processing service unit monitors fire-fighting equipment data and other related internal and external interface data in the real-time data message queue, and performs data processing on the acquired data through system configuration. The unit pair has the capability of independently accessing the data middling station and can push real-time data to the terminal. After equipment data is collected by a fire fighting all-in-one machine computing module arranged in the intelligent fire fighting host, the data is inserted into a time sequence database of the intelligent fire fighting software platform in real time, the service monitors a data message queue of the time sequence database, processes the data, calls a data push service, pushes the data to a terminal display module, and a user can check the equipment state in real time.
And the alarm engine service unit is used for generating alarm information according to the data of the fire-fighting equipment. In practical application, the alarm engine service unit is used for inserting alarm data into a time sequence database of the intelligent fire-fighting software platform in real time after the fire-fighting all-in-one machine calculation module acquires the equipment alarm data, monitoring an alarm message queue of the time sequence database by the service, performing alarm calculation, calling data push and pushing the alarm data to the terminal in real time. And if the alarm limit value of the equipment is changed, updating the alarm rule, calculating the newly generated alarm event according to the new alarm rule, not recalculating the generated alarm event, and simultaneously storing the alarm event information. The alarm information comprises fire alarm, electric fire early warning, fire-fighting facility faults and monitoring equipment offline conditions. The alarm engine will move the real-time alarm data to the historical data at regular time, and the size of the moved data is configurable.
And the linkage engine service unit is used for monitoring a data message queue of the time sequence database, matching the data message queue with a preset linkage rule, performing linkage calculation to obtain a linkage action event, and pushing the linkage action event to the terminal display module. In practical application, the linkage engine service unit is used for inserting the equipment data into a time sequence database of the intelligent fire-fighting software platform in real time after the fire-fighting all-in-one machine computing module collects the equipment data, monitoring a data message queue of the time sequence database, matching with a linkage rule, performing linkage computation, calling data push and pushing a linkage action event to the terminal display module.
And the data pushing service unit is used for providing interfaces for other services and pushing various data to the terminal display module, such as meteorological data or geographic data.
And the fire service module is used for analyzing and generating alarm information according to the data of the fire-fighting equipment. Further, the fire service module includes:
the fire early warning service unit is used for generating early warning information according to the data of the fire-fighting equipment; in practical application, the fire early warning service unit is used for deeply mining data information of fire-fighting equipment facilities, acquiring comprehensive associated system data information, managing the data information in a grading way, and early warning in advance through data analysis. Specifically, firstly, key points on the equipment are selected, a time sequence data model is established, data in a period of time are selected, the model is trained, a training result is obtained, and the training result is stored in a database. And secondly, establishing an early warning rule for the time sequence data model, and setting an abnormal value threshold. And finally, creating early warning models, wherein one early warning model can be configured with a plurality of time sequence data models, and the proportion of each time sequence model is different. And finally, calculating early warning information according to each time sequence data model configured in the early warning model. Further, the method includes the steps of firstly obtaining key points on data of the fire-fighting equipment, such as information of temperature collected by a temperature-sensitive detector and smoke concentration collected by a smoke sensor, then constructing a temperature time sequence data model and a smoke concentration time sequence data model based on the temperature and the smoke concentration, selecting data in a preset time period on the time sequence data model, and inputting the data into an EGADS (Extensible general analysis Detection System) to obtain corresponding training results. The invention takes an early warning model to configure two time sequence data models A and B as an example, and further explains the implementation process of the invention: the proportion of A is set to 70%, the proportion of B is set to 30%, in practical application, the proportion can be adjusted according to practical conditions, an early warning rule is configured for A and B, and the early warning rule sets a corresponding threshold value. When real-time early warning calculation is carried out, a section of data corresponding to the A and the B needs to be acquired, the section of data is compared with the training results of the A and the B, abnormal values of the acquired data in the section of time are calculated, if the number of the abnormal values exceeds a threshold value in an early warning rule, 1 is output, otherwise, the abnormal values are 0, the respective results are multiplied by respective occupation ratios, a result is obtained after addition, the result is compared with a threshold value set in an early warning model, if the abnormal values exceed the threshold value, early warning information is inserted, and early warning of the surrounding environment is finished.
The fire fighting auxiliary service unit is used for displaying a plan view of a fire point and the surrounding environment, a fire fighting facility arrangement position view, a fire fighting facility plan view of a fire building and the operation state of the fire fighting facility to a scene or other rescuers. In practical application, the fire fighting auxiliary service unit is used for displaying a plan view of a fire starting point and the surrounding environment and a fire fighting facility setting position view to a scene or other rescuers in case of a fire, displaying information data such as a fire fighting facility plan view of a fire building, a fire fighting facility operation state and the like, and helping the rescuers to efficiently acquire the basic situation of the fire scene.
And the fire-fighting drilling service unit is used for providing the fire-fighting evacuation actual combat drilling function. The fire-fighting and evacuation capabilities are the key points of fire rescue, the fire drill service unit supports fire-fighting and evacuation actual combat drill, the emergency handling capability of an emergency handling team is powerfully guaranteed, and the construction of a fire emergency expert base is gradually improved.
The single-point control service unit is used for manually controlling the fire-fighting equipment; in practical application, the single-point control service unit is used for having a remote control function of equipment on various kinds of HMI, and can control all controlled equipment independently, and users with control authority can control the equipment manually. When the equipment is controlled by a point, the system provides a locking condition prompt, and the control equipment can be controlled only when certain conditions are met.
And the equipment state pre-knowing service unit is used for pre-knowing the operation trend of the fire-fighting equipment. Furthermore, the device state pre-learning service unit is used for pre-learning the operation trend of the device in advance through a data analysis algorithm by acquiring a large amount of data of the device, so that pre-learning, pre-judging, pre-equipping and the like are achieved. Specifically, a time sequence data model is established for the equipment, data in a period of time is selected, the model is trained, a training result is obtained, and the training result is stored in a database. Secondly, a prediction rule is established for the time sequence data model, an abnormal value threshold value is set, if the abnormal value exceeds the threshold value, the abnormal value threshold value is stored in a database, abnormal information is counted according to the month, if the abnormal information reaches the statistical threshold value, a user is informed, and the user can also manually inquire the abnormal information of the equipment.
It should be noted that the Web framework of the terminal presentation module adopts an MVVM bidirectional data binding mode, the Javascript framework adopts VueJS, and the UI framework adopts an Ant Design framework. The terminal display module has the display functions of real-time monitoring, network management, data analysis and the like. Wherein, the real-time monitoring comprises equipment monitoring, alarm information, early warning information and the like. The network management comprises software running state management, interface management, communication management, network state management, link management and the like. And (3) data analysis: the method comprises alarm analysis, early warning analysis, trend analysis, report management and the like.
In the invention, the overall architecture design of the data center station is divided into five layers, including a data acquisition layer, a data storage layer, a data management layer, an interface service layer and a user interface layer (management console), wherein the bottom layer provides data access, including data source management, ETL (Extract-Transform-Load, data warehouse technology) and the like; the data storage layer is used for storing data acquired into the platform, and the data comprises structured data, unstructured data and data of a data center system; the data management layer provides metadata management, catalogues of assets of data and public data definition and maintenance; the interface service layer provides a product function interface and a data asset service interface for the user interface layer; the user interface layer provides a user operation interface for each function of the product.
The data center in the invention follows the following principles on the design implementation level of the whole architecture:
1) non-intrusion original service system
2) Construction of follow-up business system supported from data perspective
3) Business logic without intruding new business system
The data center platform comprises a data source management module, an ETL tool module, a data exchange module, a metadata management module and an asset directory management module. The modules together provide different data services, and the modules are deployed in an independent container mode.
And the data source management module is used for providing data services of adding data sources, deleting data sources, editing data sources and searching data sources. In practical application, the data service provided by the data source management module includes adding a data source, deleting a data source, editing a data source, and searching a data source. Data source management provides services externally in the form of Restful API interfaces. The design of front and back end separation makes things convenient for the quick iterative development of product, promotes whole development efficiency and product quality.
And after the user opens the data source management interface, displaying the currently added data source list on the page. The data source list page provides functions of searching, adding, editing and deleting data sources.
Searching: the user opens the data management interface, the content of the display list comprises the name, type, address and source (the affiliated service system) of the data source, and the upper half part of the interface has query conditions comprising type selection, name and the like.
Newly adding: and before storing the information, the user can click a test button to test the database link and verify whether the filled information is accurate. If the data source information is correct, clicking a storage button, and adding a piece of data source information. Otherwise, the filled information is re-verified.
Editing: the user opens the data management interface, selects a piece of data source information in the display list, clicks the editing button below the data source information, pops up the editing window, and can modify the name, type, address, source and the like of the data source, click the storage button and update the selected data source information.
And (3) deleting: and opening a data management interface by a user, selecting a piece of data source information in the display list, clicking a deletion button below the data source information, popping up an inquiry window, judging whether the user wants to delete the piece of data source information or not, deleting the data source information if the user clicks the confirmation, and deleting the data source information if the user clicks the cancellation.
The ETL tool module is used for providing data services of ETL job list display, ETL job management, ETL job template management, ETL processor management and ETL processor service management;
furthermore, after the ETL job list is displayed and used for a user to open the ETL tool management interface, the ETL tool enables the user to visually see the ETL jobs in the current system through the ETL job list, and the state and the configuration of each job can be checked in real time.
The ETL job management is used for creating, moving, deleting, starting and stopping after a user opens an ETL tool management interface. When a new job is created, the ETL job flow is built and the flow is connected on the canvas in a dragging mode.
The ETL processor management is used for enabling a user to check the data volume processed by each processor and the data processed by the whole work flow in real time in the ETL work after the user opens the ETL tool management interface.
The ETL processor service management is used for adding a controller service to the whole operation and a single flow or a single controller in the ETL operation after the user opens the ETL tool management interface, wherein the controller service mainly controls a data source.
And the data exchange module is used for providing data services called by the viewing external data service API and the viewing data service API. Specifically, the data exchange module enables a user to visually see data service APIs which can be consumed on the platform in the current data through the data service API list, and can view detailed information and calling modes of each data service API in real time. A user may search for data service APIs that may be of interest through keywords.
The external data service API comprises a viewing service API list, addition, edition and deletion.
View service API list: and the user opens the API management page, and the display list content comprises the API name, the belonged API group, the access control mode, the release environment, the API classification, the creation time and the update time.
Adding an API: and opening an API management page by a user, clicking a newly added and popped window, inputting a name, a description, an access control mode, a protocol, a request method, an access path and compiling SQL, and clicking to determine that the API can be newly added.
And (4) editing an API: and opening an API management page by a user, selecting an API, clicking to edit, modifying various parameters, and clicking to determine to edit the API.
And deleting the API: and (4) opening the API management page by the user, selecting one API, and clicking to delete the API.
Data service calls API: including viewing a list of service call APIs and hot APIs.
View service call API list: and opening the API calling page by the user, switching to all the pages, and displaying all the APIs and the calling times of all the APIs. The user may obfuscate the search API by the API name.
Hot API: the user opens the API calling page and switches to the hot page, and the API with higher calling rate can be checked.
The metadata management module is used for adding, editing and deleting the metadata of the data source; specifically, the metadata management module provides technical metadata management and service metadata management, and mainly manages metadata of each accessed data source and metadata of a data source inside the platform.
Technical metadata management: after a user opens the metadata management interface, the user can visually see the metadata information in the current system through the metadata list, and the metadata information can be searched according to names and types. And supports screening metadata by tag.
Newly adding technical metadata: clicking the new button on the interface, popping up a window to input various information, and clicking to store the information, thereby newly adding the technical metadata.
Editing technical metadata: selecting a piece of metadata, clicking an editing button, popping up a window, and modifying information, namely editing the technical metadata.
Deleting technical metadata: selecting a piece of metadata, clicking a delete button, and deleting the technical metadata.
And (3) service metadata management: the definition of the service metadata is realized aiming at the service metadata, and the user can visually see the service metadata information in the current system through the metadata list and can search according to the name and the type.
Newly adding service metadata: clicking the interface adding button, popping up a window to input various items of information, storing, clicking and storing, and adding the service metadata.
And editing service metadata: selecting a piece of metadata, clicking an editing button, popping up a window, and modifying information to edit the service metadata.
Deleting the service metadata: selecting a piece of metadata, clicking a delete button, and deleting the data.
And the asset directory management module is used for grouping, previewing and searching the data assets. Further, the asset directory management module provides asset directory grouping, asset data previewing and asset data searching. Users can know the condition of the organized data assets from the whole situation through the asset directory module, can conveniently inquire all business data from one entry, and carry out unified planning and sharing on the data assets. And all data information of the platform is subjected to unified cataloging management, indexes are provided for data, unified planning and sharing of data information assets are realized, and data asset operation is supported.
Grouping of the asset directory: the user opens the asset directory management interface, checks the asset directory grouping information, and the system automatically and synchronously catalogs the assets according to the grouping rules defined by the metadata;
and (4) previewing the asset data: providing a sample data preview function corresponding to the metadata;
and (3) asset data searching: the common data can be searched according to multiple dimensions.
According to the intelligent fire fighting equipment data processing system, the intelligent fire fighting host is used for collecting fire fighting equipment data, the intelligent fire fighting software platform and the data center platform are built on the basis of the intelligent fire fighting equipment data processing system, the fire fighting equipment data can be uniformly managed and controlled, data analysis and application are facilitated, deep excavation and calculation are carried out by the data analysis technology of the data center platform, the fire fighting safety situation can be sensed in real time, the operation state of fire fighting equipment can be mastered in real time through remote dynamic monitoring of the fire fighting internet of things, and accurate management of fire fighting safety is achieved. In addition, the invention also monitors and standardizes the running state of the fire-fighting facilities in real time, acquires the fault information in time, analyzes the fault trend, facilitates the timely treatment of the staff and ensures that the urban rail transit fire-fighting safety facilities are continuously in a good state.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A fire-fighting data processing system based on a data center, comprising:
the intelligent fire fighting host is connected with the fire fighting equipment and used for acquiring data of the fire fighting equipment; the fire-fighting equipment comprises a fire alarm system, a gas fire extinguishing system, a temperature sensing optical fiber system, an electrical fire system and a fire-fighting power supply system;
the intelligent fire-fighting software platform is used for generating alarm information according to the fire-fighting equipment data;
and the data center station is used for providing data service for the intelligent fire-fighting software platform.
2. A fire-fighting data processing system based on a data center station as claimed in claim 1, wherein the intelligent fire-fighting software platform comprises:
a terminal display module;
the data bus module is used for inserting the fire-fighting equipment data into a time sequence database, processing the fire-fighting equipment data and pushing the processed fire-fighting equipment data to the terminal display module;
and the fire service module is used for analyzing the data of the fire-fighting equipment to generate the alarm information.
3. A fire protection data processing system based on a data center station as claimed in claim 2, wherein said data bus module comprises:
the data receiving and processing service unit is used for inserting the fire-fighting equipment data into a time sequence database in real time and pushing the fire-fighting equipment data to the terminal display module;
and the alarm engine service unit is used for generating the alarm information according to the fire-fighting equipment data.
4. A fire protection data processing system based on a data center station as claimed in claim 3, wherein said data bus module further comprises:
and the linkage engine service unit is used for monitoring a data message queue of the time sequence database, matching the data message queue with a preset linkage rule, performing linkage calculation to obtain a linkage action event, and pushing the linkage action event to the terminal display module.
5. A fire-fighting data processing system based on a data center station as set forth in claim 2, wherein the fire-fighting service module includes:
the fire early warning service unit is used for generating early warning information according to the fire-fighting equipment data;
the fire fighting auxiliary service unit is used for displaying a plan view of a fire point and the surrounding environment, a fire fighting facility arrangement position view, a fire fighting facility plan view of a fire building and the operation state of the fire fighting facility to a scene or other rescuers.
6. A fire protection data processing system based on a data center station as claimed in claim 5, wherein said fire service module further comprises:
and the fire-fighting drilling service unit is used for providing the fire-fighting evacuation actual combat drilling function.
7. A fire protection data processing system based on a data center station as claimed in claim 6, wherein said fire service module further comprises:
the single-point control service unit is used for manually controlling the fire-fighting equipment;
and the equipment state pre-knowing service unit is used for pre-knowing the operation trend of the fire-fighting equipment.
8. A fire protection data processing system based on a data center station as claimed in claim 1, wherein said data center station comprises:
the data source management module is used for providing data services of adding data sources, deleting data sources, editing data sources and searching data sources;
the ETL tool module is used for providing data services of ETL job list display, ETL job management, ETL job template management, ETL processor management and ETL processor service management;
and the data exchange module is used for providing data services called by the viewing external data service API and the viewing data service API.
9. A fire protection data processing system based on a data center station as claimed in claim 8, wherein said data center station further comprises:
the metadata management module is used for adding, editing and deleting the metadata of the data source;
and the asset directory management module is used for grouping, previewing and searching the data assets.
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