Water conservancy Internet of Things system and control method thereof

Abstract

The invention relates to the technical field of Internet of Things and water conservancy informatization, and discloses a water conservancy Internet of Things system and a control method thereof, and the system comprises an Internet of Things management platform, a business system, a water conservancy intelligent device, and a message queue service, a real-time database, a real-time monitoring system and an Internet of Things gateway which are in communication connection with the Internet of Things management platform. The business system is in communication connection with the real-time monitoring system and the message queue service, the real-time monitoring system is in communication connection with the message queue service, and the water conservancy intelligent equipment is in communication connection with the Internet of Things gateway. The problems of poor compatibility and the like in the prior art are solved. Through the cooperation of the protocol conversion service and the Internet of Things gateway, the plug-and-play of more than 90% of industrial equipment in an irrigation area is supported; the message queue service is combined with the MQTT protocol, so that the end-to-end delay is reduced to be less than 50ms; based on strategy optimization of data driving, manual intervention is reduced, and the scheduling efficiency is improved by more than 30%.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things and water conservancy information technology, and in particular to a water conservancy Internet of Things system and a control method thereof. Background Art

[0002] As vital infrastructure for national economy and people's livelihoods, the operational status of water conservancy equipment is directly linked to the rational use of water resources, flood and drought prevention, and sustainable economic and social development. Smart water conservancy leverages modern information technology for comprehensive, sophisticated, intelligent management of water resources. Powered by next-generation information technologies such as cloud computing, big data, the Internet of Things, and artificial intelligence, smart water conservancy is a modern water management model that achieves intelligent management of water resources throughout their entire life cycle by building a closed-loop "perception-transmission-analysis-decision-making" system. Its core goal is to reshape traditional water conservancy management models and enhance precise decision-making capabilities in areas such as flood prevention and disaster reduction, water supply security, and ecological protection.

[0003] Smart water conservancy equipment, powered by next-generation information technology, integrates sensing, computing, decision-making, and control functions to achieve intelligent water resource management. By reconstructing the water management model through a closed-loop "perception-transmission-analysis-execution," these devices deliver the following core value propositions: upgrading traditional equipment into intelligent nodes with autonomous learning capabilities, transcending spatial and temporal constraints to achieve full lifecycle management, and driving the water conservancy industry's transition from experience-driven to data-driven. Smart power equipment integrates computer hardware, software, and advanced sensing technology, offering real-time monitoring, remote control, and intelligent diagnostic capabilities. These devices offer the following advantages: efficient data processing, supporting real-time collection and optimized analysis of power parameters; edge computing, enabling complex computations such as load forecasting and fault warning to be performed at the terminal; and improved system integration, with hardware standardization and modular functional design reducing deployment costs.

[0004] The current irrigation district dispatching business faces the following technical problems:

[0005] 1. Protocol heterogeneity: Smart devices in water conservancy, power, and other sectors use multiple industrial protocols (such as Modbus, IEC104, and SL651), which makes data collection and command issuance difficult and leads to poor system compatibility.

[0006] 2. Insufficient real-time performance: Traditional architectures rely on a single protocol transmission, making it difficult to meet the needs of real-time monitoring and rapid response for large-scale equipment;

[0007] 3. Decentralized device management: IoT terminal devices (such as PLCs and non-standard smart devices) lack a unified management platform, resulting in low operation and maintenance efficiency;

[0008] 4. Strategy execution lag: The existing system has difficulty in dynamically integrating operational strategies with real-time data, resulting in a low level of intelligent scheduling decisions.

[0009] In the existing technology, a single protocol gateway or a general IoT platform is difficult to solve the above problems. There is an urgent need for a new architecture that supports multi-protocol integration, strong real-time performance and intelligent scheduling. Summary of the Invention

[0010] In order to overcome the deficiencies of the prior art, the present invention provides a water conservancy Internet of Things system and a control method thereof, which solve the problems of poor compatibility and the like in the prior art.

[0011] The technical solution adopted by the present invention to solve the above problems is:

[0012] A water conservancy Internet of Things system, comprising: an Internet of Things management platform, a business system, water conservancy intelligent equipment, a message queue service, a real-time database, a real-time monitoring system, and an Internet of Things gateway respectively connected to the Internet of Things management platform;

[0013] The business system is communicated with the real-time monitoring system and the message queue service respectively, the real-time monitoring system is communicated with the message queue service, and the water conservancy smart equipment is communicated with the Internet of Things gateway.

[0014] In this technical solution, the following steps can be used to dispatch and control the water conservancy Internet of Things system:

[0015] S1, device access: connect the water conservancy smart device to the IoT gateway, collect data from the water conservancy smart device, convert the data into MQTT format and upload it to the IoT management platform;

[0016] S2, real-time monitoring and decision-making: The message queue service receives the irrigation plan set by the business system. The IoT management platform compares the data in the irrigation plan with the real-time data in the real-time database. If the real-time data is lower than the data in the irrigation plan, the real-time monitoring system controls the IoT management platform to issue control instructions. The data includes one or more of the following: water level data and flow data.

[0017] Furthermore, the scheduling control further includes the following steps:

[0018] S3, exception handling:

[0019] If the instruction transmission fails, the platform ensures reliability through the message queue retransmission mechanism and records the failed node.

[0020] As an optimal technical solution, water conservancy smart devices are connected to the IoT gateway through the SL651 protocol, and the IoT gateway can encapsulate the SL651 protocol into the MQTT protocol.

[0021] This facilitates the deployment of IoT gateways that support the SL651 protocol, directly connecting to smart water conservancy equipment to enable data collection and command issuance for underlying equipment.

[0022] As a preferred technical solution, it includes an electric power smart device connected to the Internet of Things gateway.

[0023] As a preferred technical solution, the power smart device is connected to the IoT gateway through the IEC104 protocol, and the IoT gateway can encapsulate the IEC104 protocol into the MQTT protocol.

[0024] This facilitates the deployment of IoT gateways that support the IEC104 protocol, directly connecting to smart power devices to enable data collection and command issuance for underlying devices.

[0025] As a preferred technical solution, it includes an OPC server and a universal protocol conversion service module. The universal protocol conversion service module is communicated with the Internet of Things management platform. The OPC server is communicated with the universal protocol conversion service module through the OPC UA protocol. The universal protocol conversion service module can encapsulate the OPC UA protocol into the MQTT protocol.

[0026] The universal protocol conversion service module provides dynamic adaptation and conversion capabilities for protocols such as MQTT and OPC UA, supporting seamless integration with third-party systems (such as OPC servers). It uses a two-way communication mechanism to enable real-time transmission and feedback verification of control commands.

[0027] As a preferred technical solution, it includes a PLC system connected to an OPC server via Modbus protocol communication.

[0028] This facilitates direct connection to PLC systems and water / electricity intelligent equipment, enabling data collection and command issuance for underlying equipment.

[0029] As a preferred technical solution, it includes a relational database that is connected to the business system in communication.

[0030] The function of relational database is to store data related to business management, such as scheduling plans, scheduling schemes, emergency plans, etc.

[0031] The control method of the water conservancy Internet of Things system comprises the following steps:

[0032] S1, device access: connect the water conservancy smart device to the IoT gateway, collect data from the water conservancy smart device, convert the data into MQTT format and upload it to the IoT management platform;

[0033] S2, real-time monitoring and decision-making: The message queue service receives the irrigation plan set by the business system. The IoT management platform compares the data in the irrigation plan with the real-time data in the real-time database. If the real-time data is lower than the data in the irrigation plan, the real-time monitoring system controls the IoT management platform to issue control instructions. The data includes one or more of the following: water level data and flow data.

[0034] As a preferred technical solution, in step S1, the power smart device is also connected to the Internet of Things gateway via IEC104 protocol communication.

[0035] As a preferred technical solution, the following steps are also included:

[0036] S3, exception handling: If the control instruction fails to be sent, the IoT management platform resends the control instruction and records the failure.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] (1) Multi-protocol compatibility: Through the collaboration of protocol conversion services and IoT gateways, it supports plug-and-play of more than 90% of industrial equipment in the irrigation area;

[0039] (2) Improved real-time performance: The combination of message queue service and MQTT protocol reduces end-to-end latency to less than 50ms;

[0040] (3) Intelligent scheduling: Based on data-driven strategy optimization, manual intervention is reduced and scheduling efficiency is improved by more than 30%. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 This is a schematic diagram of the architecture of a water conservancy Internet of Things system according to the present invention;

[0042] Figure 2 This is a flow chart of a control method for a water conservancy Internet of Things system according to the present invention;

[0043] Figure 3 for Figure 2 One of the partial enlarged pictures;

[0044] Figure 4 for Figure 2 The second partial enlarged picture;

[0045] Figure 5 for Figure 2 The third partial enlarged image. DETAILED DESCRIPTION

[0046] The present invention will be further described in detail below with reference to the embodiments and the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0047] Example 1

[0048] like Figures 1 to 5 As shown, the present invention provides a discrete heterogeneous irrigation district scheduling Internet of Things system based on fog computing architecture, including: an Internet of Things management platform, a business system, water conservancy intelligent equipment, a message queue service, a real-time database, a real-time monitoring system, and an Internet of Things gateway respectively connected to the Internet of Things management platform;

[0049] The business system is communicated with the real-time monitoring system and the message queue service respectively, the real-time monitoring system is communicated with the message queue service, and the water conservancy smart equipment is communicated with the Internet of Things gateway.

[0050] The core architecture includes:

[0051] 1. Multi-protocol IoT gateway layer:

[0052] Deploy IoT gateways that support industrial protocols such as Modbus, SL651, and IEC104, directly connecting to PLC systems, smart water conservancy equipment, and smart power equipment to enable data collection and command issuance from underlying devices.

[0053] The IoT gateway has a built-in protocol conversion module that unifies heterogeneous protocols into the lightweight MQTT IoT protocol, reducing transmission load.

[0054] 2. General protocol conversion service:

[0055] It provides dynamic adaptation and conversion capabilities for protocols such as MQTT and OPC UA, and supports seamless integration with third-party systems (such as OPC servers).

[0056] A two-way communication mechanism is used to achieve real-time transmission and feedback verification of control instructions.

[0057] 3. Real-time monitoring and message queue services:

[0058] The real-time monitoring system receives business system data and real-time device data through message queue services (such as Kafka) to build a low-latency data channel.

[0059] Integrated time series database, supporting millisecond-level data storage and retrieval.

[0060] 4. General IoT Management Platform:

[0061] Embed intelligent scheduling algorithms in the general IoT management platform, combine operation strategies with real-time data, and dynamically generate control instructions (such as valve opening and pump station start and stop).

[0062] The intelligent scheduling algorithm includes the following steps:

[0063] S1, device access phase:

[0064] The IoT gateway connects to water conservancy smart devices through the SL651 protocol, collects water level and flow data, and converts them into MQTT format and uploads them to the platform.

[0065] Power smart devices are connected through the IEC104 protocol and converted into MQTT format and uploaded to the platform.

[0066] S2, real-time monitoring and decision-making:

[0067] The message queue service receives the irrigation plan set by the business system, compares it with the real-time data of the equipment, and triggers the intelligent scheduling engine to generate instructions.

[0068] Example: When the water level in a certain area is detected to be below the threshold, the platform automatically sends a "pump station start" command to the corresponding IoT gateway.

[0069] Preferably, the scheduling control method further includes the following steps:

[0070] S3, exception handling:

[0071] If the command transmission fails, the platform ensures reliability through the message queue retransmission mechanism and records the faulty node (node refers to IoT devices, including monitoring devices, control devices, communication devices, etc.).

[0072] 5. Business system:

[0073] The business system introduces a specialized scheduling model to optimize policy parameters based on historical scheduling data, enabling adaptive adjustment. This specialized scheduling model can be implemented using existing technologies. The principle is: after generating a generalized graph, a scheduling plan is solved using a genetic algorithm or a particle swarm algorithm, and then connected to the Internet of Things to execute the scheduling plan.

[0074] Through this Internet of Things system, the following advantages can be achieved:

[0075] 1. Protocol heterogeneity: This invention can unify heterogeneous protocols into a lightweight MQTT IoT protocol, reducing transmission load and effectively solving the following technical problems: smart devices in water conservancy, electricity, etc. use multiple industrial protocols (such as Modbus, IEC104, SL651, etc.), resulting in difficulties in data collection and command issuance, and poor system compatibility;

[0076] 2. Real-time performance: The combination of message queue services and the MQTT protocol effectively solves the following technical problems: Traditional architectures rely on a single protocol transmission, making it difficult to meet the needs of real-time monitoring and rapid response of large-scale devices;

[0077] 3. Equipment Management: With unified scheduling and management capabilities, operation and maintenance efficiency is improved, effectively solving the following technical problems: IoT terminal devices (such as PLCs and non-standard intelligent devices) lack a unified management platform and have low operation and maintenance efficiency;

[0078] 4. Strategy execution: It facilitates the dynamic integration of operational strategies and real-time data, significantly improving the intelligence level of scheduling decisions.

[0079] Example 2

[0080] like Figures 1 to 5 As shown, a water conservancy Internet of Things system includes: an Internet of Things management platform, a business system, water conservancy smart devices, a message queue service, a real-time database, a real-time monitoring system, and an Internet of Things gateway respectively connected to the Internet of Things management platform for communication;

[0081] The business system is communicated with the real-time monitoring system and the message queue service respectively, the real-time monitoring system is communicated with the message queue service, and the water conservancy smart equipment is communicated with the Internet of Things gateway.

[0082] When in use, the following scheduling control methods can be used:

[0083] S1, device access: connect the water conservancy smart device to the IoT gateway through the SL651 protocol communication. The water conservancy smart device collects data and converts the data into MQTT format and uploads it to the IoT management platform;

[0084] S2, real-time monitoring and decision-making: The message queue service receives the irrigation plan set by the business system. The IoT management platform compares the data in the irrigation plan with the real-time data in the real-time database. If the real-time data is lower than the data in the irrigation plan, the real-time monitoring system controls the IoT management platform to issue control instructions. The data includes one or more of the following: water level data and flow data.

[0085] Furthermore, the scheduling control further includes the following steps:

[0086] S3, exception handling:

[0087] If the control command transmission fails, the platform ensures reliability through the message queue retransmission mechanism and records the failed node.

[0088] As an optimal technical solution, water conservancy smart devices are connected to the IoT gateway through the SL651 protocol, and the IoT gateway can encapsulate the SL651 protocol into the MQTT protocol.

[0089] This facilitates the deployment of IoT gateways that support the SL651 protocol, directly connecting to smart water conservancy equipment to enable data collection and command issuance for underlying equipment.

[0090] Example 3

[0091] like Figures 1 to 5As shown, as a further optimization of Example 2, on the basis of Example 2, this embodiment provides a discrete heterogeneous irrigation district scheduling Internet of Things system based on fog computing architecture.

[0092] Includes power smart devices connected to the Internet of Things gateway.

[0093] As a preferred technical solution, the power smart device is connected to the IoT gateway through the IEC104 protocol, and the IoT gateway can encapsulate the IEC104 protocol into the MQTT protocol.

[0094] This facilitates the deployment of IoT gateways that support the IEC104 protocol, directly connecting to smart power devices to enable data collection and command issuance for underlying devices.

[0095] Example 4

[0096] like Figures 1 to 5 As shown, as a further optimization of Example 3, on the basis of Example 3, this embodiment provides a discrete heterogeneous irrigation district scheduling Internet of Things system based on fog computing architecture.

[0097] As a preferred technical solution, it includes an OPC server and a universal protocol conversion service module. The universal protocol conversion service module is communicated with the Internet of Things management platform. The OPC server is communicated with the universal protocol conversion service module through the OPC UA protocol. The universal protocol conversion service module can encapsulate the OPC UA protocol into the MQTT protocol.

[0098] The universal protocol conversion service module provides dynamic adaptation and conversion capabilities for protocols such as MQTT and OPC UA, supporting seamless integration with third-party systems (such as OPC servers). It uses a two-way communication mechanism to enable real-time transmission and feedback verification of control commands.

[0099] As a preferred technical solution, it includes a PLC system connected to an OPC server via Modbus protocol communication.

[0100] This facilitates direct connection to PLC systems and water / electricity intelligent equipment, enabling data collection and command issuance for underlying equipment.

[0101] Example 5

[0102] like Figures 1 to 5 As shown, as a further optimization of Example 2, on the basis of Example 2, this embodiment provides a discrete heterogeneous irrigation district scheduling Internet of Things system based on fog computing architecture.

[0103] Includes a relational database that communicates with the business system.

[0104] The function of relational database is to store data related to business management, such as scheduling plans, scheduling schemes, emergency plans, etc.

[0105] Example 6

[0106] like Figures 1 to 5 As shown, as a further optimization of Example 1, this embodiment provides a scheduling control method for a discrete heterogeneous irrigation district scheduling Internet of Things system based on fog computing architecture.

[0107] The scheduling control method includes the following steps:

[0108] S1, device access phase:

[0109] The IoT gateway connects to water conservancy smart devices through the SL651 protocol, collects water level and flow data, and converts them into MQTT format and uploads them to the platform.

[0110] Power smart devices are connected through the IEC104 protocol and converted into MQTT format and uploaded to the platform.

[0111] S2, real-time monitoring and decision-making:

[0112] The message queue service receives the irrigation plan set by the business system, compares it with the real-time data of the equipment, and triggers the intelligent scheduling engine to generate instructions.

[0113] Example: When the water level in a certain area is detected to be below the threshold, the platform automatically sends a "pump station start" command to the corresponding IoT gateway.

[0114] Example 7

[0115] like Figures 1 to 5 As shown, as a further optimization of Example 1, this embodiment provides a scheduling control method for a discrete heterogeneous irrigation district scheduling Internet of Things system based on fog computing architecture.

[0116] The scheduling control method further includes the following steps:

[0117] S3, exception handling:

[0118] If the instruction transmission fails, the platform ensures reliability through the message queue retransmission mechanism and records the failed node.

[0119] It is worth noting that: in the present invention, the water conservancy intelligent equipment and the power intelligent equipment can be realized by using existing technologies, so their specific working principles are not further described. Specifically, the water conservancy intelligent equipment may include: intelligent monitoring and early warning equipment (such as water situation dynamic sensing equipment, engineering safety monitoring equipment, environmental anomaly identification equipment), intelligent scheduling and control equipment (such as flood control emergency response equipment, water supply precision control equipment), integrated management platform (such as global data integration equipment, cross-business collaboration equipment), prediction and maintenance equipment (such as disaster early warning equipment, instrument health management equipment). The power intelligent equipment may include: intelligent fusion terminals (TTU / DTU) for distribution automation scenarios, whose main functions are: load identification and distributed resource management; AI work recorders for power operation management scenarios, whose main functions are: operation process tracing and dangerous operation warning; intelligent monitoring systems for network status perception scenarios, whose main functions are: multi-parameter real-time monitoring and fault diagnosis; power distribution hosts for energy optimization and scheduling scenarios, whose main functions are: equipment collaborative control and energy efficiency optimization.

[0120] The present invention has the following characteristics:

[0121] 1. Protocol heterogeneity: This invention can unify heterogeneous protocols into a lightweight MQTT IoT protocol, reducing transmission load and effectively solving the following technical problems: smart devices in water conservancy, electricity, etc. use multiple industrial protocols (such as Modbus, IEC104, SL651, etc.), resulting in difficulties in data collection and command issuance, and poor system compatibility;

[0122] 2. Real-time performance: The combination of message queue services and the MQTT protocol effectively solves the following technical problems: Traditional architectures rely on a single protocol transmission, making it difficult to meet the needs of real-time monitoring and rapid response of large-scale devices;

[0123] 3. Equipment Management: With unified scheduling and management capabilities, operation and maintenance efficiency is improved, effectively solving the following technical problems: IoT terminal devices (such as PLCs and non-standard intelligent devices) lack a unified management platform and have low operation and maintenance efficiency;

[0124] 4. Strategy execution: It facilitates the dynamic integration of operational strategies and real-time data, significantly improving the intelligence level of scheduling decisions.

[0125] In summary, compared with the prior art, the present invention has the following beneficial effects:

[0126] (1) Multi-protocol compatibility: Through the collaboration of protocol conversion services and IoT gateways, it supports plug-and-play of more than 90% of industrial equipment in the irrigation area;

[0127] (2) Improved real-time performance: The combination of message queue service and MQTT protocol reduces end-to-end latency to less than 50ms;

[0128] (3) Intelligent scheduling: Based on data-driven strategy optimization, manual intervention is reduced and scheduling efficiency is improved by more than 30%.

[0129] As described above, the present invention can be preferably implemented.

[0130] All features disclosed in all embodiments in this specification, or steps in all methods or processes implicitly disclosed, except for mutually exclusive features and / or steps, can be combined and / or expanded or replaced in any manner.

[0131] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Based on the technical essence of the present invention and within the spirit and principles of the present invention, any simple modification, equivalent replacement and improvement of the above embodiment shall still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A water conservancy Internet of Things system, characterized in that: include: The IoT management platform, business system, and water conservancy smart devices are connected to the IoT management platform through message queue services, real-time databases, real-time monitoring systems, and IoT gateways. The business system is communicated with the real-time monitoring system and the message queue service respectively, the real-time monitoring system is communicated with the message queue service, and the water conservancy smart equipment is communicated with the Internet of Things gateway.

2. A water conservancy Internet of Things system according to claim 1, characterized in that: Water conservancy smart devices are connected to the IoT gateway through the SL651 protocol, and the IoT gateway can encapsulate the SL651 protocol into the MQTT protocol.

3. A water conservancy Internet of Things system according to claim 1, characterized in that: Includes power smart devices connected to the Internet of Things gateway.

4. A water conservancy Internet of Things system according to claim 3, characterized in that: Power smart devices are connected to the IoT gateway through the IEC104 protocol, and the IoT gateway can encapsulate the IEC104 protocol into the MQTT protocol.

5. A water conservancy Internet of Things system according to claim 1, characterized in that: It includes an OPC server and a general protocol conversion service module. The general protocol conversion service module is connected to the Internet of Things management platform. The OPC server is connected to the general protocol conversion service module through the OPC UA protocol. The general protocol conversion service module can encapsulate the OPC UA protocol into the MQTT protocol.

6. A water conservancy Internet of Things system according to claim 5, characterized in that: It includes a PLC system connected to an OPC server via Modbus protocol communication.

7. A water conservancy Internet of Things system according to any one of claims 1 to 6, characterized in that: Includes a relational database that communicates with the business system.

8. The control method of a water conservancy Internet of Things system according to any one of claims 1 to 7, characterized in that: The following steps are involved: S1, device access: connect the water conservancy smart device to the IoT gateway, collect data from the water conservancy smart device, convert the data into MQTT format and upload it to the IoT management platform; S2, real-time monitoring and decision-making: The message queue service receives the irrigation plan set by the business system. The IoT management platform compares the data in the irrigation plan with the real-time data in the real-time database. If the real-time data is lower than the data in the irrigation plan, the real-time monitoring system controls the IoT management platform to issue control instructions. The data includes one or more of the following: water level data and flow data.

9. The control method of a water conservancy Internet of Things system according to claim 8, characterized in that: In step S1, the power smart device is also connected to the Internet of Things gateway via IEC104 protocol communication.

10. A control method for a water conservancy Internet of Things system according to claim 8 or 9, characterized in that: The following steps are also included: S3, exception handling: If the control instruction fails to be sent, the IoT management platform resends the control instruction and records the failure.

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