Visualized intelligent integrated business processing system based on the Internet of Things

Abstract

The present invention belongs to the field of intelligent business processing technology, and specifically relates to a visual intelligent integrated business processing system based on the Internet of Things; the application layer includes an enterprise application module, an industrial control application module, and an intelligent control application module, and the three cooperate with each other; the configuration layer is provided with an application model, a data model, and a visual configuration tool module; the application model corresponds to and cooperates with several modules in the application layer; the application model and the data model cooperate with each other; the visual configuration tool module cooperates with the application model and the data model respectively; a database storage unit is provided in the big data service layer, and the big data service layer also includes a data storage and forwarding service module, a control signaling forwarding service module, and a big data analysis module. The system can quickly carry out informatization construction, reduce the time, cost, manpower, and later operation and maintenance expenses of informatization, and the model itself can achieve high scalability through layered design and realize multi-platform compatible implementation and application by its own characteristics.

Description

Technical Field

[0001] The present invention relates to a visual intelligent integrated business processing system based on the Internet of Things, belonging to the technical field of intelligent business processing. Background Art

[0002] At present, under the guidance of the national innovation-oriented policies, the pace of informatization in various industries has accelerated, and various enterprise, industrial, security and Internet systems and platforms have sprung up and been applied to various industries. However, the specialization, customization and independence of each system have seriously hindered the development of the information industry. At the same time, it has increased unnecessary investment and duplicate construction for the informatization of various enterprises, brought unnecessary personnel investment to informatization management, and affected operational efficiency. The development platforms and development tools used by each system are also different, which has brought a heavy burden to the subsequent operation and maintenance and function expansion of the system. More importantly, similar industry software platforms have always been in the hands of foreign companies, which has brought certain risks to the informatization security of domestic enterprises.

[0003] At present, the information construction of various industries generally adopts the method of purchasing finished products or finding outsourcing companies to develop information software platforms. However, with the development of enterprises or institutions, they may face the need to expand system functions due to the upgrade of functional requirements. Due to the limitations of finished products, especially the problem of version control, the original products cannot be effectively upgraded after several years due to the upgrading of software and hardware. If the information software is outsourced, there is difficulty in finding a new team for research and development.

[0004] Based on the difficulties faced by information application systems in various industries, domestic and foreign system platform companies have developed industry-specific visualization development tools to address such problems. Through personnel training, they can achieve the system's subsequent self-functional expansion. Representative platforms include Siemens' WinCC (Windows Control Center) or the more popular BIM (Building Information Modeling) system in China. However, such window control platforms can only be used in specific industries. For example, WinCC is only for production line control in the industrial manufacturing industry, while BIM is only for the control of pipelines, wire pipes and other construction processes. Moreover, most of such software can only run on the Windows operating system, which poses challenges to the scalability and security of the application platform.

[0005] Due to the high demand for visualization systems in various industries, in addition to solving human-computer interaction problems, the biggest intention is to use visualization to define the functions of the system or platform. However, there are still many limitations, as shown below:

[0006] 01. Existing visualization tools are industry-specific, have high requirements for personnel configuration, and are not very versatile.

[0007] 02. Existing visualization tools are only developed for one operating system platform and have the disadvantage of weak cross-platform capabilities.

[0008] 03. Existing visualization tools are developed using specific development tools, which are highly closed and subject to copyright disputes.

[0009] 04. Existing visualization tools are mostly run on a single machine or in a local area network environment.

[0010] 05. Existing visualization tools do not provide or provide limited third-party data information;

[0011] 06. Existing visualization tools are only deployment tools for specific industries and are not highly scalable. Summary of the Invention

[0012] In order to solve the defects and shortcomings of the existing technology, the purpose of the present invention is to provide a visual intelligent comprehensive business processing system based on the Internet of Things. It is a comprehensive model invented by summarizing the information system of the existing informatization and intelligent development of human society. It can quickly carry out informatization construction, reduce the time, cost, manpower and subsequent operation and maintenance expenses of informatization, and achieve high scalability through layered design and its own characteristics to achieve multi-platform compatible implementation and application.

[0013] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: it comprises an application layer, a configuration layer and a big data service layer;

[0014] The application layer includes enterprise application modules, industrial control application modules and intelligent control application modules, which cooperate with each other;

[0015] The configuration layer is provided with an application model, a data model and a visual configuration tool module; the application model corresponds to and cooperates with several modules in the application layer; the application model and the data model cooperate with each other; the visual configuration tool module cooperates with the application model and the data model respectively;

[0016] The big data service layer is provided with a database storage unit, and the big data service layer also includes a data storage and forwarding service module, a control signaling forwarding service module and a big data analysis module, and the data storage and forwarding service module, the control signaling forwarding service module and the big data analysis module are all matched with the database storage unit;

[0017] Preferably, the configuration layer is provided with a data editing component, a statistical chart component, a device control component, a pipeline component, an industrial control communication component, an intelligent image analysis component, an intelligent voice recognition component and a GIS map component; the above eight components all cooperate with the application model and the data model.

[0018] Preferably, the activation of each component in the configuration layer corresponds to the model reference parameter of the application model, and the corresponding component is activated when the parameter is within a specified range.

[0019] Preferably, the configuration system parameter unit in the configuration layer cooperates with the cloud storage parameters, communication parameters, and model reference parameters.

[0020] Preferably, the configuration layer further includes a system authority module, which is used for setting and selecting parameters.

[0021] Preferably, the visualization configuration tool module activates the corresponding application layer unit through the activation model after matching the application model and the data model.

[0022] Preferably, the data editing component corresponds to the editing box in the system; the statistical chart component corresponds to the statistical chart in the system; the pipeline component corresponds to the pipeline drawing in the system; the industrial control communication component corresponds to the industrial control communication signaling in the system; the intelligent image analysis component corresponds to the image acquisition in the system; the intelligent voice recognition component corresponds to the system voice acquisition; and the GIS map component corresponds to the GIS map in the system.

[0023] Preferably, the data editing component, statistical chart component, pipeline component, industrial control communication component, intelligent image analysis component, intelligent voice recognition component and GIS map component, in cooperation with the device control component, configure the visualization configuration tool module 2 through data analysis of the data model.

[0024] The operation process of the visual intelligent integrated business processing system based on the Internet of Things is as follows:

[0025] S1. Enter the start program

[0026] S2. Install the model platform

[0027] S3. Configure system parameters. Through system authority management, combine cloud storage parameters, communication parameters, and model reference parameters to configure model library selection.

[0028] S4. If the cloud storage parameters, communication parameters, and model reference parameters cannot all be satisfied, then enter the configuration model;

[0029] S41, when configuring the model, configure the model element object parameters through the editing box corresponding to the data editing component, the statistical chart corresponding to the statistical chart component, the pipeline drawing corresponding to the pipeline component, the industrial control communication signaling corresponding to the industrial control communication component, the image acquisition corresponding to the intelligent image analysis component, the voice acquisition corresponding to the intelligent voice recognition component, and the GIS map corresponding to the GIS map component;

[0030] S42. After the above model element object parameters are configured, save the custom model through visual configuration layout;

[0031] S5. If the cloud storage parameters, communication parameters, and model reference parameters are all satisfied, the model is automatically selected;

[0032] S6, step S42, step S5 After confirming the model, the model activation stage can be entered;

[0033] S7, after the model is activated, the system starts running;

[0034] S71. Combine the big data service layer and the application layer to achieve intelligent system operation;

[0035] S72. Combining the big data service layer and the application layer, the system operates under human-computer interaction;

[0036] S8. End after the operation is completed.

[0037] The present invention mainly solves the following technical problems:

[0038] (01) Based on an open platform, model innovation and development can be achieved through open source code;

[0039] (02) Conduct compatibility testing for currently popular operating system platforms to achieve cross-platform model system operation;

[0040] (03) Implement centralized management of multi-industry business models through system architecture, and use big data technology to achieve unified management of platform business flows, control flows, and data flows;

[0041] (04) The system realizes the integration of enterprise management, industrial control, intelligent control, security management, etc. through model solutions, and realizes the implementation and operation of the enterprise information platform through user selection;

[0042] (05) The model system provides a visual configuration tool for personalized configuration of the default business model, and can also re-establish a business model suitable for its own implementation and operation of informatization;

[0043] (06) The model can select different visual human-machine operation interfaces by adapting to the performance of the operating platform terminal, maximizing its adaptability to the diversity of terminal devices;

[0044] (07) The model provides diversified and configurable third-party information interaction interfaces based on existing technologies, facilitating information fusion between systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention is described in detail through the following specific implementations and drawings.

[0046] Figure 1 It is a schematic diagram of the present invention;

[0047] Figure 2 is a flow chart of the present invention;

[0048] Figure 3 This is a diagram of a water source heat pump water system for a specific implementation of the present invention;

[0049] Description of reference numerals:

[0050] Application layer 1, configuration layer 2, big data service layer 3;

[0051] Enterprise application module 11, industrial control application module 12, intelligent control application module 13;

[0052] Application model 21, data model 22, visualization configuration tool module 23;

[0053] Data storage and forwarding service module 31, control signaling forwarding service module 32, big data analysis module 33, database storage unit 34;

[0054] Data editing component 201, statistical chart component 202, equipment control component 203, pipeline component 204, industrial control communication component 205, intelligent image analysis component 206, intelligent speech recognition component 207, GIS map component 208. DETAILED DESCRIPTION

[0055] To make the objectives, technical solutions, and advantages of the present invention more clearly apparent, the present invention is described below using specific embodiments shown in the accompanying drawings. However, it should be understood that these descriptions are merely illustrative and are not intended to limit the scope of the present invention. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present invention.

[0056] It should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, the accompanying drawings only show structures and / or processing steps closely related to the solutions according to the present invention, while other details that are not closely related to the present invention are omitted.

[0057] See Figure 1-Figure 2As shown, this specific embodiment adopts the following technical solutions: it includes an application layer 1, a configuration layer 2 and a big data service layer 3; the application layer 1 includes an enterprise application module 11, an industrial control application module 12 and an intelligent control application module 13, and the three cooperate with each other; the configuration layer 2 is provided with an application model 21, a data model 22 and a visualization configuration tool module 23; the application model 21 corresponds to and cooperates with several modules in the application layer 1; the application model 21 and the data model 22 cooperate with each other; the visualization configuration tool module 23 cooperates with the application model 21 and the data model 22 respectively; a database storage unit 34 is provided in the big data service layer 3, and the big data service layer 3 further includes a data storage and forwarding service module 31, a control signaling forwarding service module 32 and a big data analysis module 33, and the data storage and forwarding service module 31, the control signaling forwarding service module 32 and the big data analysis module 33 all match the database storage unit 34;

[0058] Among them, the configuration layer 2 is provided with a data editing component 201, a statistical chart component 202, a device control component 203, a pipeline component 204, an industrial control communication component 205, an intelligent image analysis component 206, an intelligent voice recognition component 207 and a GIS map component 208; the above eight components all cooperate with the application model 21 and the data model 22.

[0059] In addition, the activation of each component in the configuration layer 2 corresponds to the model reference parameter of the application model 21, and the corresponding component is activated when the parameter is within the specified range.

[0060] Furthermore, the configuration system parameter unit in the configuration layer 2 cooperates with the cloud storage parameters, communication parameters, and model reference parameters.

[0061] Furthermore, the configuration layer 2 also includes a system authority module, which is used for setting and selecting parameters.

[0062] Furthermore, the visualization configuration tool module 23 matches the application model 21 and the data model 22 and activates the corresponding application layer unit through the activation model.

[0063] In this specific embodiment, the data editing component 201 corresponds to the editing box in the system; the statistical chart component 202 corresponds to the statistical chart in the system; the pipeline component 204 corresponds to the pipeline drawing in the system; the industrial control communication component 205 corresponds to the industrial control communication signaling in the system; the intelligent image analysis component 206 corresponds to the image acquisition in the system; the intelligent voice recognition component 207 corresponds to the system voice acquisition; and the GIS map component 208 corresponds to the GIS map in the system.

[0064] In this specific embodiment, the data editing component 201, statistical chart component 202, pipeline component 204, industrial control communication component 205, intelligent image analysis component 206, intelligent speech recognition component 207 and GIS map component 208, in cooperation with the device control component 203, configure the visualization configuration tool module 23 through data analysis of the data model 22.

[0065] The operation process of the visual intelligent integrated business processing system based on the Internet of Things in this specific embodiment is as follows:

[0066] S1, enter the start program;

[0067] S2, install the model platform;

[0068] S3. Configure system parameters. Through system authority management, combine cloud storage parameters, communication parameters, and model reference parameters to configure model library selection.

[0069] S4. If the cloud storage parameters, communication parameters, and model reference parameters cannot all be satisfied, then enter the configuration model;

[0070] S41, when configuring the model, configure the model element object parameters through the editing box corresponding to the data editing component 201, the statistical chart corresponding to the statistical chart component 202, the pipeline drawing corresponding to the pipeline component 204, the industrial control communication signaling corresponding to the industrial control communication component 205, the image acquisition corresponding to the intelligent image analysis component 206, the voice acquisition corresponding to the intelligent voice recognition component 207, and the GIS map corresponding to the GIS map component 208;

[0071] S42. After the above model element object parameters are configured, save the custom model through visual configuration layout;

[0072] S5. If the cloud storage parameters, communication parameters, and model reference parameters are all satisfied, the model is automatically selected;

[0073] S6. After confirming the model in steps S42 and S5, the model activation phase can be entered;

[0074] S7, after the model is activated, the system starts running;

[0075] S71. Combining the big data service layer and the application layer, the system operates intelligently; the application layer includes enterprise management, industrial control, intelligent control, intelligent security, etc.

[0076] S72. Combining the big data service layer and the application layer, the system operates under human-computer interaction;

[0077] S8. End after the operation is completed.

[0078] like Figure 3As shown, when this specific embodiment is applied to a water source heat pump water system, the configuration layers include an energy collection system, an energy enhancement system, and an energy release system. Under the action of the big data service layer, several heat pump units can be monitored in real time.

[0079] This specific implementation method provides multiple models for enterprise management, industrial control, intelligent control, etc., and realizes system deployment through visual configuration; conducts compatible development and testing on currently popular operating system platforms to achieve cross-platform operation; conducts research and development through open source tools to resolve subsequent copyright disputes and achieve truly innovative development;

[0080] In addition, the present invention implements a multi-data storage and information sharing mechanism between systems, realizing big data sharing operation based on cloud computing; provides a configurable information export or transmission method to facilitate data intercommunication with third-party systems or platforms; and provides a model-based intelligent analysis function, which provides an intelligent control function based on AI control and can be widely used in the field of artificial intelligence or the intelligent control industry.

[0081] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the invention can be embodied in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations that come within the meaning and range of equivalents of the claims be embraced therein.

[0082] In addition, it should be understood that although this specification is described in terms of implementation methods, not every implementation method contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

Claims

1. A visual intelligent integrated business processing system based on the Internet of Things, characterized by: It consists of the application layer (1), configuration layer (2) and big data service layer (3); The application layer (1) includes an enterprise application module (11), an industrial control application module (12) and an intelligent control application module (13), which cooperate with each other; The configuration layer (2) is provided with an application model (21), a data model (22) and a visualization configuration tool module (23); the application model (21) is coordinated with several modules in the application layer (1); the application model (21) and the data model (22) are coordinated with each other; the visualization configuration tool module (23) is coordinated with the application model (21) and the data model (22) respectively; The big data service layer (3) is provided with a database storage unit (34), and the big data service layer (3) further comprises a data storage and forwarding service module (31), a control signaling forwarding service module (32) and a big data analysis module (33), wherein the data storage and forwarding service module (31), the control signaling forwarding service module (32) and the big data analysis module (33) are all matched with the database storage unit (34); The configuration layer (2) is provided with a data editing component (201), a statistical chart component (202), a device control component (203), a pipeline component (204), an industrial control communication component (205), an intelligent image analysis component (206), an intelligent speech recognition component (207) and a GIS map component (208); the above eight components are mutually coordinated with the application model (21) and the data model (22); The processing system operates as follows: S1, enter the start program; S2, install the model platform; S3. Configure system parameters. Through system authority management, combine cloud storage parameters, communication parameters, and model reference parameters to configure model library selection. S4. If the cloud storage parameters, communication parameters, and model reference parameters cannot all be satisfied, then enter the configuration model; S41, when configuring the model, configuring the model element object parameters through the editing box corresponding to the data editing component (201), the statistical chart corresponding to the statistical chart component (202), the pipeline drawing corresponding to the pipeline component (204), the industrial control communication signaling corresponding to the industrial control communication component (205), the image acquisition corresponding to the intelligent image analysis component (206), the voice acquisition corresponding to the intelligent voice recognition component (207), and the GIS map corresponding to the GIS map component (208); S42. After the above model element object parameters are configured, save the custom model through visual configuration layout; S5. If the cloud storage parameters, communication parameters, and model reference parameters are all satisfied, the model is automatically selected; S6, step S42, step S5 After confirming the model, the model activation stage can be entered; S7, after the model is activated, the system starts running; S71. Combining the big data service layer and the application layer, the system operates intelligently; the application layer includes enterprise management, industrial control, intelligent control, and intelligent security; S72. Combining the big data service layer and the application layer, the system operates under human-computer interaction; S8. End after the operation is completed.

2. The visual intelligent integrated business processing system based on the Internet of Things according to claim 1 is characterized by: The activation of each component in the configuration layer (2) corresponds to the model reference parameters of the application model (21), and the corresponding component is activated when the parameter is within the specified range.

3. The visual intelligent integrated business processing system based on the Internet of Things according to claim 1 is characterized in that: The configuration system parameter unit in the configuration layer (2) cooperates with the cloud storage parameters, communication parameters, and model reference parameters.

4. The visual intelligent integrated business processing system based on the Internet of Things according to claim 1 is characterized in that: The configuration layer (2) also includes a system authority module, which is used for setting and selecting parameters.

5. The visual intelligent integrated business processing system based on the Internet of Things according to claim 1 is characterized in that: After the visualization configuration tool module (23) matches the application model (21) and the data model (22), the corresponding application layer unit is activated through the activation model.

6. The visual intelligent integrated business processing system based on the Internet of Things according to claim 1 is characterized in that: The data editing component (201) corresponds to the editing box in the system; the statistical chart component (202) corresponds to the statistical chart in the system; the pipeline component (204) corresponds to the pipeline drawing in the system; the industrial control communication component (205) corresponds to the industrial control communication signaling in the system; the intelligent image analysis component (206) corresponds to the image acquisition in the system; the intelligent voice recognition component (207) corresponds to the voice acquisition of the system; and the GIS map component (208) corresponds to the GIS map in the system.

7. The visual intelligent integrated business processing system based on the Internet of Things according to claim 1 is characterized in that: The data editing component (201), statistical chart component (202), pipeline component (204), industrial control communication component (205), intelligent image analysis component (206), intelligent speech recognition component (207) and GIS map component (208) cooperate with the device control component (203) to configure the visualization configuration tool module (23) through data analysis of the data model (22).

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