Environmental protection industry science and technology consultation service platform

Abstract

The invention discloses an environmental protection industry science and technology consultation service platform, and relates to the technical field of big data resource service. The platform comprises a big data cloud server, an intelligent client, an edge computing server and an Internet of Things terminal, and integrates artificial intelligence, Internet of Things and block chain technologies. The big data cloud server comprises an AI intelligent analysis module, a block chain evidence storage module and an environment data middle platform; the intelligent client is integrated with VR training, a data visualization billboard and other units. The edge computing server processes the equipment data in real time; and the Internet of Things terminal realizes environmental protection facility state sensing. The AI module predicts the project declaration success rate through deep learning, the error rate is smaller than or equal to 5%, and the block chain module ensures that data cannot be tampered based on an alliance chain. The platform can accurately match policies and enterprise requirements, integrate real-time environment data, provide services such as VR training and intelligent early warning, solve the problems of insufficient intelligence, weak data security and the like of an existing platform, and improve the accuracy and efficiency of environment-friendly consultation services.

Description

Technical Field

[0001] The present invention belongs to the technical field of big data resource services, and in particular relates to a technology consulting service platform for the environmental protection industry. Background Art

[0002] An existing patent (application publication number CN111861516A) discloses a technology consulting service platform for the environmental protection industry. This platform primarily comprises a big data cloud server, a client, and a server. The big data cloud server contains information on various environmental protection industry enterprises, as well as government policy conditions and annual changes from various levels of environmental protection bureaus, science and technology bureaus, economic and information technology commissions, and talent bureaus. The client includes a login account, account and password management, a communication unit, a customer service unit, a one-on-one communication unit, a video and audio recording unit, a one-to-many communication unit, and an annual consulting report unit. This platform offers highly professional, comprehensive, and timely services.

[0003] However, the environmental protection industry technology consulting service platform still has the following shortcomings:

[0004] 1. Lack of intelligent data analysis capabilities, making it impossible to accurately match policies with corporate needs;

[0005] 2. Failure to integrate real-time environmental monitoring data makes it difficult to provide dynamic environmental consulting services;

[0006] 3. Inadequate data security and trusted evidence storage mechanisms pose risks in intellectual property and financial data management;

[0007] 4. The mobile terminal has limited functions and lacks immersive interactive experience and real-time data visualization capabilities.

[0008] Therefore, the present invention proposes an environmental protection industry technology consulting service platform that integrates artificial intelligence, the Internet of Things, and blockchain technology. Summary of the Invention

[0009] The purpose of the present invention is to provide a technology consulting service platform for the environmental protection industry to solve the existing problems.

[0010] To solve the above technical problems, the present invention is achieved through the following technical solutions:

[0011] The present invention is a scientific and technological consulting service platform for the environmental protection industry, including a big data cloud server, an intelligent client, an edge computing server and an Internet of Things terminal. The big data cloud server includes information factors of various enterprises in the environmental protection industry, government policy conditions and annual changes of environmental protection bureaus, science and technology bureaus, economic and information technology commissions and talent bureaus at all levels. The big data cloud server also includes an AI intelligent analysis module, a blockchain evidence storage module and an environmental data middle platform; the intelligent client includes a login account, an account password management unit, a communication unit, a customer service unit, a one-to-one communication unit, a video and audio recording unit, a one-to-many communication unit and an annual consulting report unit; the edge computing server is deployed in an industrial park or enterprise site to process the pollution control equipment operation data and energy consumption data collected by the Internet of Things terminal in real time, and improve data processing efficiency through edge-cloud collaborative computing; the Internet of Things terminal includes water quality sensors, atmospheric monitoring sensors, and pollution control equipment IoT controllers, and supports access to multiple network protocols such as LoRa and 5G to achieve real-time perception of the operating status of environmental protection facilities.

[0012] In one embodiment, the AI ​​intelligent analysis module has a built-in policy matching algorithm and project application prediction model, the blockchain evidence storage module performs distributed storage of corporate intellectual property, financial data and policy application records, and the environmental data middle platform integrates the real-time monitoring data of the Ecological Environment Bureau and the data of the company's own monitoring equipment.

[0013] In one embodiment, the AI ​​intelligent analysis module uses a deep learning neural network and trains historical policy application data to predict the success rate of project applications, with an error rate of ≤5%.

[0014] In one embodiment, the blockchain evidence storage module is based on alliance chain technology, and enterprises, government regulatory departments, and service platforms jointly participate in consensus to ensure that data cannot be tampered with and the evidence storage response time is ≤200ms.

[0015] In one embodiment, the smart client integrates a VR training module, a real-time data visualization dashboard, and an intelligent early warning unit. The VR training module supports virtual simulation of the policy declaration process, the data visualization dashboard displays the matching status of the company's environmental protection indicators with policy requirements, and the intelligent early warning unit pushes excessive emissions, policy declaration deadlines, etc. to multiple terminals based on threshold settings.

[0016] In one embodiment, the intelligent early warning unit supports custom early warning rules. When the carbon emission data of an enterprise exceeds the industry average by 15% for three consecutive days, a yellow early warning is automatically triggered and a carbon emission reduction technology solution is pushed.

[0017] The present invention has the following beneficial effects:

[0018] The present invention uses a deep learning neural network to train a project application prediction model with an error rate of ≤5%. It can automatically generate a policy matching score based on the company's talent structure, financial data, intellectual property rights and other information, achieve accurate matching of policies and corporate needs, and increase the project application success rate to a quantifiable predictable level, solving the problem of "extensive policy matching" on traditional platforms.

[0019] The present invention integrates the real-time monitoring data of the Ecological Environment Bureau (such as air quality and water quality indicators) with the data of the company's own equipment through the environmental data middle platform, and combines the edge computing server with the real-time processing of the pollution control equipment operation data (edge-cloud collaborative computing), so that the platform can provide timely environmental protection consultation based on dynamic environmental data, changing the shortcomings of traditional platforms such as "data lag and static consultation".

[0020] The blockchain evidence storage module in this invention is based on consortium chain technology. Enterprises, government regulators, and service platforms jointly participate in consensus-building to achieve distributed storage of intellectual property, financial data, and policy application records, ensuring data immutability and an evidence storage response time of ≤200ms. This mechanism addresses the security risks of traditional platforms in the management of sensitive enterprise data and provides a trusted data foundation for policy applications and intellectual property protection.

[0021] The edge computing server in the present invention is deployed at the enterprise site to process the energy consumption data and equipment operation data collected by the IoT terminal in real time, reduce data transmission delays, and significantly improve the efficiency of large-scale data processing through the "edge-cloud" collaborative computing mode, meeting the "real-time" requirements of environmental monitoring.

[0022] The intelligent client in this invention integrates a VR training module, supports virtual simulation of the policy declaration process, and reduces corporate learning costs through immersive interaction; the real-time data visualization dashboard graphically displays the matching status of environmental protection indicators and policy requirements, making complex data intuitive and helping companies quickly locate compliance gaps.

[0023] The intelligent early warning unit in this invention supports customizable rules (e.g., if carbon emissions exceed the industry average by 15% for three consecutive days, a yellow alert will be triggered) and pushes warning information and carbon reduction technology solutions to multiple terminals. This feature enables proactive prevention and control of environmental risks, significantly improving early warning response speed compared to traditional manual monitoring, and reducing the risk of excessive emissions.

[0024] The IoT terminal in the present invention realizes real-time perception of all scenarios. IoT terminals such as water quality sensors and atmospheric monitoring sensors support LoRa and 5G multi-network protocol access, covering multi-scenario monitoring such as industrial wastewater and exhaust gas, and realizing all-weather real-time perception of the operating status of environmental protection facilities. The data collection frequency can reach seconds, providing a complete data chain for environmental protection supervision.

[0025] By integrating the "cloud-edge-end" technical architecture, the platform of this invention simultaneously solves the four major defects of existing solutions, namely "lack of intelligence, data fragmentation, weak security, and single interaction", forming a closed-loop system from data collection, intelligent analysis, trusted evidence storage to early warning services, and promoting the digital and intelligent upgrading of environmental protection industry consulting services.

[0026] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 This is a system framework diagram of a technology consulting service platform for the environmental protection industry;

[0029] Figure 2 This is a block diagram of the big data cloud server system in the present invention;

[0030] Figure 3 This is a block diagram of the smart client system in the present invention;

[0031] Figure 4 This is a block diagram of the edge computing server system in the present invention;

[0032] Figure 5 Block diagram of the Internet of Things terminal system in the present invention. DETAILED DESCRIPTION

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0034] In the description of the present invention, it should be understood that the terms "upper", "middle", "outer", "inner" and the like indicating directions or positional relationships are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the components or elements referred to must have a specific direction, be constructed and operate in a specific direction, and therefore should not be understood as limiting the present invention.

[0035] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "provided with," "connected," etc., should be understood in a broad sense. For example, "connected" may refer to a fixed connection, a detachable connection, or an integral connection; it may refer to a mechanical connection or an electrical connection; it may refer to a direct connection or an indirect connection through an intermediate medium; it may refer to internal communication between two components. Those skilled in the art will be able to understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0036] See also Figure 1-Figure 5 As shown, the present invention is a scientific and technological consulting service platform for the environmental protection industry, including a big data cloud server, an intelligent client, an edge computing server and an Internet of Things terminal. The big data cloud server includes information factors of various enterprises in the environmental protection industry, government policy conditions and annual changes of environmental protection bureaus, science and technology bureaus, economic and information technology commissions and talent bureaus at all levels. The big data cloud server also includes an AI intelligent analysis module, a blockchain evidence storage module and an environmental data middle platform; the intelligent client includes a login account, an account password management unit, a communication unit, a customer service unit, a one-to-one communication unit, a video and audio recording unit, a one-to-many communication unit and an annual consulting report unit; the edge computing server is deployed in an industrial park or enterprise site to process the pollution control equipment operation data and energy consumption data collected by the Internet of Things terminal in real time, and improve data processing efficiency through edge-cloud collaborative computing; the Internet of Things terminal includes water quality sensors, atmospheric monitoring sensors, and pollution control equipment IoT controllers, and supports access to multiple network protocols such as LoRa and 5G to achieve real-time perception of the operating status of environmental protection facilities.

[0037] Furthermore, the AI ​​intelligent analysis module has built-in policy matching algorithms and project application prediction models, which can automatically generate policy matching scores based on corporate information factors (talent level, number of employees, social security status, intellectual property status, financial data of the past three years and current financial data, and main business); the blockchain evidence storage module distributes the company's intellectual property, financial data and policy application records, and the environmental data middle platform integrates the real-time monitoring data of the Ecological Environment Bureau (air quality, water quality indicators, carbon emission data) and the company's own monitoring equipment data.

[0038] Furthermore, the AI ​​intelligent analysis module uses a deep learning neural network to train historical policy application data to predict the success rate of project applications, with an error rate of ≤5%.

[0039] Furthermore, the blockchain evidence storage module is based on alliance chain technology, with enterprises, government regulatory departments, and service platforms jointly participating in the consensus to ensure that the data cannot be tampered with and the evidence storage response time is ≤200ms.

[0040] Furthermore, the smart client integrates a VR training module, a real-time data visualization dashboard and an intelligent early warning unit. The VR training module supports virtual simulation of the policy declaration process, the data visualization dashboard displays the matching status of the company's environmental protection indicators with policy requirements, and the intelligent early warning unit pushes excessive emissions, policy declaration deadlines, etc. to multiple terminals based on threshold settings.

[0041] Furthermore, the intelligent early warning unit supports custom warning rules. When a company's carbon emissions data exceeds the industry average by 15% for three consecutive days, a yellow warning will be automatically triggered and a carbon reduction technology solution will be pushed.

[0042] It should be further explained that the present invention has built an environmental protection industry science and technology consulting service platform with multi-dimensional innovation capabilities by integrating technologies such as artificial intelligence, the Internet of Things, blockchain, and edge computing. Its beneficial effects are as follows:

[0043] 1. Intelligent policy matching and precise service capabilities

[0044] 1. Deep learning application of AI intelligent analysis module

[0045] The project application prediction model is trained using a deep learning neural network, with an error rate of ≤5%. It can automatically generate a policy matching score based on the company's talent structure, financial data, intellectual property rights and other information, to achieve accurate matching of policies with corporate needs, and increase the project application success rate to a quantifiable predictable level, solving the problem of "extensive policy matching" on traditional platforms.

[0046] 2. Dynamic data integration and real-time consulting capabilities

[0047] The environmental data middle platform integrates the real-time monitoring data of the Ecological Environment Bureau (such as air quality and water quality indicators) with the data of the company's own equipment, and combines the edge computing server with real-time processing of pollution control equipment operation data (edge-cloud collaborative computing), enabling the platform to provide timely environmental protection consultation based on dynamic environmental data, changing the shortcomings of traditional platforms such as "data lag and static consultation".

[0048] 2. Data Security and Trusted Evidence Storage Mechanism

[0049] 1. Blockchain technology ensures data credibility

[0050] The blockchain evidence storage module, based on consortium blockchain technology, is a collaborative consensus-building effort among enterprises, government regulators, and service platforms. This enables distributed storage of intellectual property, financial data, and policy filing records, ensuring data immutability and a storage response time of ≤200ms. This mechanism addresses the security risks of traditional platforms in managing sensitive enterprise data and provides a trusted data foundation for policy filing and intellectual property protection.

[0051] 2. Edge computing improves data processing efficiency

[0052] Edge computing servers are deployed on-site at the enterprise to process energy consumption data and equipment operation data collected by IoT terminals in real time, reducing data transmission delays. Through the "edge-cloud" collaborative computing model, the efficiency of large-scale data processing is increased by more than 30%, meeting the "real-time" requirements of environmental monitoring.

[0053] 3. Immersive Interaction and Intelligent Warning Function

[0054] 1. VR training and data visualization enhance user experience

[0055] The smart client integrates a VR training module, supports virtual simulation of the policy declaration process, and reduces corporate learning costs through immersive interaction; the real-time data visualization dashboard graphically displays the matching of environmental protection indicators with policy requirements, making complex data intuitive and helping companies quickly identify compliance gaps.

[0056] 2. Intelligent early warning and automated solution push

[0057] The intelligent early warning unit supports customizable rules (e.g., carbon emissions exceeding the industry average by 15% for three consecutive days triggers a yellow alert) and pushes warning information and carbon reduction technology solutions to multiple terminals. This feature proactively controls environmental risks, increasing early warning response speed by 80% compared to traditional manual monitoring, reducing the risk of excessive emissions.

[0058] IV. Systematic Innovation through Multi-Technology Integration

[0059] 1. IoT terminals achieve real-time perception of all scenarios

[0060] IoT terminals such as water quality sensors and atmospheric monitoring sensors support LoRa and 5G multi-network protocol access, covering multi-scenario monitoring such as industrial wastewater and exhaust gas, and realizing all-weather real-time perception of the operating status of environmental protection facilities. The data collection frequency can reach seconds, providing a complete data chain for environmental protection supervision.

[0061] 2. Integrated platform solves existing technical pain points

[0062] By integrating the "cloud-edge-end" technical architecture, the platform simultaneously solves the four major defects of the existing solutions: "lack of intelligence, data fragmentation, weak security, and single interaction", forming a closed-loop system from data collection, intelligent analysis, trusted evidence storage to early warning services, and promoting the digital and intelligent upgrade of environmental protection industry consulting services.

[0063] In summary, this invention not only improves the accuracy and efficiency of environmental consulting services through technological integration and module innovation, but also provides full-process protection for corporate environmental compliance through data security mechanisms and intelligent early warning systems. At the same time, it optimizes the user experience through technologies such as VR interaction, and has significant technological advancement and industrial application value.

[0064] Throughout this specification, references to terms such as "one embodiment," "example," and "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0065] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the content of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A technology consulting service platform for environmental protection industry, characterized by: include: Big data cloud server: stores information factors of various enterprises in the environmental protection industry, government policy conditions and annual changes, and integrates AI intelligent analysis modules, blockchain evidence storage modules and environmental data middle platform; Smart client: includes login account, account and password management unit, communication unit, customer service unit, one-to-one communication unit, audio and video recording unit, one-to-many communication unit and annual consulting report unit; Edge computing servers: Deployed in industrial parks or enterprise sites, they process pollution control equipment operation and energy consumption data collected by IoT terminals in real time, improving data processing efficiency through edge-cloud collaborative computing. IoT terminals: including water quality sensors, atmospheric monitoring sensors, and IoT controllers for pollution control equipment. They support access to multiple network protocols such as LoRa and 5G, enabling real-time perception of the operating status of environmental protection facilities.

2. The environmental protection industry technology consulting service platform according to claim 1, characterized in that: The AI ​​intelligent analysis module has built-in policy matching algorithms and project application prediction models. The blockchain evidence storage module performs distributed storage of corporate intellectual property, financial data and policy application records. The environmental data middle platform integrates the real-time monitoring data of the Ecological Environment Bureau and the data of the company's own monitoring equipment.

3. The environmental protection industry technology consulting service platform according to claim 1, characterized in that: The AI ​​intelligent analysis module adopts a deep learning neural network and is trained with historical policy application data to predict the success rate of project applications, with an error rate of ≤5%.

4. The environmental protection industry technology consulting service platform according to claim 1, characterized in that: The blockchain evidence storage module is based on alliance chain technology, with enterprises, government regulatory departments, and service platforms jointly participating in the consensus to ensure that the data cannot be tampered with and the evidence storage response time is ≤200ms.

5. The environmental protection industry technology consulting service platform according to claim 1, characterized in that: The smart client integrates a VR training module, a real-time data visualization dashboard and an intelligent early warning unit. The VR training module supports virtual simulation of the policy declaration process, the data visualization dashboard displays the matching status of the company's environmental protection indicators with policy requirements, and the intelligent early warning unit pushes excessive emissions, policy declaration deadlines, etc. to multiple terminals based on threshold settings.

6. The environmental protection industry technology consulting service platform according to claim 5, characterized in that: The intelligent early warning unit supports customizable early warning rules. When a company's carbon emissions data exceeds the industry average by 15% for three consecutive days, a yellow early warning is automatically triggered and a carbon reduction technology solution is pushed.

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