Intelligent water plant data management system and method

Abstract

A smart water plant data management system provided by the present invention comprises a master control module, at least one branch pipe module, a plurality of field modules and a relay module which are electrically connected in series, the relay module is electrically connected in series with other branch pipe modules and other field modules, the plurality of branch pipe modules are connected to the relay module, and the relay module is electrically connected to the master control module. The data transmission module is used for transmitting data to other branch pipe modules for temporary processing through the relay module when a certain branch pipe module breaks down, and uninterrupted monitoring is achieved. The invention also provides an intelligent water plant data management method, a plurality of branch pipe modules are connected to the relay module, when a certain branch pipe module has downtime of data processing and analysis equipment, data of other field modules can be transmitted to other branch pipe modules through the relay module, and other branch pipe modules are utilized to perform temporary data processing. Therefore, other on-site modules can still be continuously monitored when the data processing and analyzing equipment is down, and uninterrupted monitoring of the water plant site can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and particularly to a management system and method for intelligent water plant data. Background Art

[0002] The construction of a management system and method for intelligent water plant data aims to improve the management efficiency and service level of water resources, and realizes the intelligent management of water plants by integrating modern information technologies (such as the Internet of Things, big data, cloud computing, etc.); In the existing intelligent water plant project data management system, the data processing equipment on site may cause the data processing equipment to crash due to equipment aging, overload, power problems or hardware damage. When an error occurs and the equipment crashes, it usually takes waiting for the staff to repair the data processing equipment before the on-site monitoring can continue, resulting in an interruption in the on-site monitoring, which is not conducive to the long-term use of the intelligent water plant data management system. Therefore, there is an urgent need for a management system and method for intelligent water plant data to solve the above problems. Summary of the Invention

[0003] In view of the deficiencies in the prior art, the present invention provides a management system for intelligent water plant data. To achieve the above object, the present invention adopts the following technical solutions: A management system for intelligent water plant data includes a master control module, at least one branch control module, multiple on-site modules and a relay module connected in electrical series. The relay module is electrically connected in series with other branch control modules and other on-site modules. Multiple branch control modules are connected to the relay module and are used to transmit data to other branch control modules through the relay module for temporary processing when a certain branch control module fails, so as to achieve uninterrupted monitoring.

[0004] Furthermore, the master control module includes a control panel, a master PLC controller, a data storage and a transmission server. The control panel is a multi-button operation panel, and the master PLC controller is used to centrally control the overall system.

[0005] Furthermore, the relay module includes a relay data transmitter, a relay data processor and a relay data memory, and is used to receive and process data from each branch control module, and distribute the processed data to the corresponding branch control module or transmit it to the master control module.

[0006] Furthermore, the branch control module includes a big data analysis server, a data integration processor, a data signal transmitter and an automatically driven vehicle, and is used to analyze and process the data collected by the on-site module, and command the automatically driven vehicle to go to the scene for processing when an abnormal situation is detected.

[0007] Further, the on-site module includes an environmental sensing component, a water condition sensing component, an image monitoring component, a water treatment component, a personnel management component, and an acoustic-optic alarm. These components are connected to the sub-management module through a data integration processor, and each component is equipped with a small signal transmitter and receiver as well as a positioning device to enhance data collection and emergency response capabilities.

[0008] The present invention also provides a method for managing the data of an intelligent water plant. Using the management system as described above, it includes the following steps: Centrally control the sub-management module, the on-site module, and the relay module through the master control module; The big data analysis server and the data integration processor in the sub-management module process and analyze the data collected from the on-site module; When any data analysis device in the sub-management module fails, the data is transmitted to other sub-management modules through the relay module for temporary processing to ensure uninterrupted monitoring.

[0009] Further, when the on-site module detects an abnormal situation, it sends an instruction to the self-driving tool vehicle through the data signal transmitter, causing it to go to the abnormal location for preliminary processing.

[0010] Further, when it is detected that the equipment is operating erratically, the personnel management component locates the nearest staff member using the personal positioning terminal and notifies them to go to the fault point for repair through wireless communication.

[0011] Further, the personal positioning terminal is wirelessly connected to the self-driving tool vehicle, enabling the staff member to send instructions to the self-driving tool vehicle through the personal positioning terminal to make it go to the designated location to perform tasks; and the acoustic-optic alarm is wirelessly connected to the personal positioning terminal, and can communicate data with the personal positioning terminal through the acoustic-optic alarm when the equipment malfunctions, enabling the staff member to more accurately locate the faulty equipment.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. For the management system and method of the intelligent water plant data, multiple sub-management modules are connected to the relay module. Thus, when the equipment for data processing and analysis such as the big data analysis server and the data integration processor in a certain sub-management module breaks down, the data of other on-site modules can be transmitted to other sub-management modules through the relay module, and other sub-management modules are used for temporary data processing. Therefore, continuous monitoring of other on-site modules can still be achieved when the data processing and analysis equipment breaks down, and uninterrupted monitoring of the water plant site can be realized; 2. For the management system and method of the intelligent water plant data, when the sub-management module analyzes the data collected by the on-site module and finds that the equipment is malfunctioning, it can send an instruction to the self-driving tool vehicle through the data signal transmitter to make it displace towards the location where the equipment is malfunctioning. At the same time, the personnel management component judges the person closest to the malfunctioning equipment through the personal positioning terminal and sends an instruction to their personal positioning terminal to make the staff rush to the vicinity of the malfunctioning equipment. At the same time, the audible and visual alarm can communicate with the personal positioning terminal so that the personnel can better discover the malfunctioning equipment, so that the staff can rush to the vicinity of the malfunctioning equipment within a short time, and use the self-driving tool vehicle to make the tools ready in a short time; 3. For the management system and method of the intelligent water plant data, the data integration processor integrates the data and transmits it to the big data analysis server. The big data analysis server can use the existing big data to analyze and compare the data detected by the on-site module, and can quickly turn on the audible and visual alarm of the malfunctioning equipment for warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below in conjunction with the drawings and embodiments: Figure 1 It is a schematic diagram of the overall process of the present invention; Figure 2 It is a schematic diagram of the specific equipment connection of each module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] The technical solutions in the present invention will be further described below in conjunction with the drawings and embodiments.

[0015] Embodiment 1: By Figure 1-2Provided is a management method and system for data of an intelligent water plant. The present invention includes: a master control module, a branch module, a field module, and a relay module connected in electrical series. The relay module is electrically connected in series with other branch modules and other field modules. A plurality of branch modules are connected to the relay module. Thus, when equipment for data processing and analysis such as a big data analysis server and a data integration processor in a certain branch module breaks down, data of other field modules can be transmitted to other branch modules through the relay module, and other branch modules are used for temporary data processing. Therefore, continuous monitoring of other field modules can still be achieved when the data processing and analysis equipment breaks down, and uninterrupted monitoring of the water plant site can be realized. The master control module includes a control panel, a master PLC controller, a data storage, and a transmission server connected in electrical series. The control panel is a common multi-button operation panel, and the master PLC controller can control the overall system. The relay module includes a relay data transmitter, a relay data processor, and a relay data storage connected in electrical series. When the branch module analyzes the data collected by the field module and finds that the equipment is operating incorrectly, an instruction can be sent to an automatically drivable tool vehicle through a data signal transmitter to make it move to the position where the equipment is incorrect. At the same time, the personnel management component determines the person closest to the faulty equipment through a personal positioning terminal and sends an instruction to their personal positioning terminal to make the staff rush to the vicinity of the faulty equipment. At the same time, the sound and light warning device can communicate with the personal positioning terminal so that personnel can better discover the faulty equipment. Thus, the staff can rush to the vicinity of the faulty equipment within a short time, and the automatically drivable tool vehicle can make the tools ready in a short time. The automatically drivable tool vehicle is provided with maintenance tools. The branch module includes a big data analysis server, a data integration processor, a data signal transmitter, and an automatically drivable tool vehicle connected in electrical series. The field module includes an environmental sensing component, a water condition sensing component, an image monitoring component, a water treatment component, a personnel management component, and a sound and light warning device. The personnel management component is wirelessly connected to a personal positioning terminal. The environmental sensing component can monitor the working environment data, the water condition sensing component can monitor various data of water, the image monitoring component is used to monitor the image of the working environment, the water treatment component is an implementation component for water treatment in the water plant, the sound and light warning device is provided with a small signal transmitter and receiver, and a locator is also provided.

[0016] Specifically, the sound and light warning device is electrically connected to the data integration processor. After the data integration processor integrates the data, it is transmitted to the big data analysis server. The big data analysis server can analyze and compare the data detected by the field module using existing big data, and can quickly turn on the sound and light warning device of the faulty equipment for warning.

[0017] Furthermore, the environmental sensing component, the water condition sensing component, the image monitoring component, the water treatment component, and the personnel management component are electrically connected to the data integration processor.

[0018] Furthermore, the personal positioning terminal is wirelessly connected to the self-driving tool vehicle.

[0019] Furthermore, the acoustic and optical warning device is wirelessly connected to the personal positioning terminal.

[0020] It should be noted that the relay data transmitter is electrically connected to the transmission server and the data signal transmitter.

[0021] It should be noted that the transmission server is electrically connected to the data signal transmitter.

[0022] In addition, the above-mentioned electrical components and electrical equipment all use an external power supply. The circuits, electronic components and modules involved in the present invention are all prior arts, which can be fully realized by those skilled in the art without further elaboration. The content protected by the present invention does not involve improvements to the internal structure and method. Embodiment 2: A management method and management system for smart water plant data, comprising: The master control module, branch control modules, on-site modules, and relay modules are electrically connected in series. The relay module is electrically connected in series with other branch control modules and other on-site modules. The master control module includes a control panel, a master PLC controller, a data storage device, and a transmission server that are electrically connected in series. The control panel is a common multi-button operation panel. The master PLC controller can control the overall system. The relay module includes a relay data transmitter, a relay data processor, and a relay data storage device that are electrically connected in series. The branch control module includes a big data analysis server, a data integration processor, a data signal transmitter, and an automatically-driven vehicle. The on-site module includes an environmental sensing component, a water condition sensing component, an image monitoring component, a water treatment component, a personnel management component, and an audible and visual alarm. The environmental sensing component can use a device with the brand AQ and model FCS10-25 on the market; the water condition sensing component can use an online multi-parameter water quality sensor with the brand Feimeng Electronics on the market; the image monitoring component can use a common industrial camera on the market; the water treatment component is a common equipment component for water treatment in a water plant; the personnel management component is a common personnel management host device that can implement the viewing and calculation of the positions of personnel, and perform calculation and analysis on the positions and distribution of personnel; the specific settings of the automatically-driven vehicle include multiple key components: in terms of hardware, it is equipped with sensors such as lidar and cameras for environmental perception, as well as a high-performance computing unit and a navigation system to achieve precise positioning and real-time decision-making; in terms of software, it integrates an automatic driving algorithm, path planning, and a human-machine interaction interface; the communication system supports the interaction between the vehicle and the infrastructure to enhance safety; at the same time, it has task management and real-time monitoring functions to ensure efficient and safe automated operations; the water condition sensing component can be installed at the water positions of water storage tanks, water storage cans, pipelines, etc. The environmental sensing component and the image monitoring component can be installed on the outer walls, brackets of large equipment in the plant area, or on utility poles. The audible and visual alarm can be installed at prominent positions of the equipment. The personnel management component is a common networked computer that can be distributed at multiple locations in the plant area or placed on a wind- and rain-proof bracket. Other sensor components can be installed at key working positions of the water treatment component.

[0023] Specifically, the acoustic-optic alarm is electrically connected to the data integration processor. At the same time, the relay module as a whole can be set in the cloud, and the big data server in the cloud can be used to improve the data operation and processing speed of the relay module, enabling the relay module to use cloud computing to quickly and temporarily call other sub-management modules for sensing data processing when there are errors in the water condition data of the device, abnormal device operation, or abnormal air data in the working environment, such as fires, water leaks, spontaneous combustion of the device, etc. For example, when the sub-management module processes the data collected by the on-site module and finds that there is a situation of spontaneous combustion of the device, the sub-management module can promptly shut down the corresponding device, and then command the autonomous driving vehicle to carry fire extinguishing materials and personnel to move towards the location of the fire through the data signal transmitter. At the same time, when the personnel management component receives the signal, it can command the nearest staff to move towards the location of the fire through the personal positioning terminal to achieve timely response and problem handling.

[0024] Further, the environmental sensing component, water condition sensing component, image monitoring component, water treatment component, and personnel management component are electrically connected to the data integration processor.

[0025] Furthermore, the personal positioning terminal is wirelessly connected to the autonomous driving vehicle.

[0026] Furthermore, the acoustic-optic alarm is wirelessly connected to the personal positioning terminal. The personal positioning terminal can be a common mobile phone on the market, and software that cooperates with the personnel management component is set inside it, enabling real-time communication and connection with the personnel management component, so that the workers can make timely responses.

[0027] It should be noted that the relay data transmitter is electrically connected to the transmission server and the data signal transmitter.

[0028] It should be noted that the transmission server is electrically connected to the data signal transmitter.

[0029] Working principle: Multiple sub-management modules are connected to the relay module. Thus, when a device for data processing and analysis in the big data analysis server and the data integration processor of a certain sub-management module breaks down, the data of other on-site modules can be transmitted to other sub-management modules through the relay module, and other sub-management modules are used for temporary data processing. Therefore, continuous monitoring of other on-site modules can still be achieved when the data processing and analysis device breaks down, enabling uninterrupted monitoring of the water plant site. Each sub - management module has a certain data - processing ability. In this way, even if the server of a certain module crashes, other modules can still take over part of the data - processing tasks. By sharing data among multiple modules, even if the data of a certain module is lost or unavailable, other modules can still provide backup data. In normal operations, the master - control module can intelligently allocate data - processing tasks to avoid overloading any single module. In case of a fault, the system can dynamically adjust the load and allocate more tasks to healthy modules.

[0030] When the sub - management module analyzes the data collected by the on - site module and finds that the equipment is operating incorrectly, it can send an instruction to the self - driving tool vehicle through the data signal transmitter to make it move towards the point where the equipment has an error. At the same time, the personnel management component judges the person closest to the faulty equipment through the personal positioning terminal and sends an instruction to their personal positioning terminal to make the staff rush to the vicinity of the faulty equipment. At the same time, the acoustic - optical warning device can communicate with the personal positioning terminal so that the personnel can better discover the faulty equipment, enabling the staff to arrive near the faulty equipment within a short time and making the tools ready in a short time using the self - driving tool vehicle.

[0031] The data integration processor integrates the data and transmits it to the big - data analysis server. The big - data analysis server can analyze and compare the data detected by the on - site module using the existing big data and can quickly turn on the acoustic - optical warning device of the faulty equipment for warning.

[0032] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the purpose and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A management system for smart water plant data, comprising a master control module, at least one branch module, a plurality of field modules and a relay module electrically connected in series, characterized in that: The relay module is electrically connected in series with other sub-modules and other field modules. Multiple sub-modules are connected to the relay module. When a sub-module fails, the relay module transmits data to other sub-modules for temporary processing to achieve uninterrupted monitoring.

2. The smart water plant data management system according to claim 1 is characterized by: The master control module includes a control panel, a master PLC controller, a data storage device and a transmission server, wherein the control panel is a multi-button operation panel, and the master PLC controller is used to centrally control the entire system.

3. The management system for smart water plant data according to claim 1 is characterized by: The relay module includes a relay data transmitter, a relay data processor and a relay data storage device, which are used to receive and process data from each sub-module, and distribute the processed data to the corresponding sub-module or transmit it to the master control module.

4. The management system for smart water plant data according to claim 1 is characterized by: The in-charge module includes a big data analysis server, a data integration processor, a data signal transmitter and an autonomous driving tool vehicle, which are used to analyze and process the data collected by the on-site module and direct the autonomous driving tool vehicle to handle the situation when an abnormal situation is detected.

5. The management system for smart water plant data according to claim 1 is characterized by: The field module includes an environmental sensing component, a water condition sensing component, an image monitoring component, a water treatment component, a personnel management component and an audible and visual alarm. These components are connected to the sub-modules through a data integration processor, and each component is equipped with a small signal transmitter and receiver and a positioning device.

6. A method for managing smart water plant data, characterized in that: Using the management system according to any one of claims 1 to 5, comprising the following steps: Centrally control the sub-modules, field modules and relay modules through the master control module; The big data analysis server and data integration processor in the responsible module process and analyze the data collected from the field module; When any data analysis device in a sub-module fails, the data is transmitted to other sub-modules through the relay module for temporary processing to ensure uninterrupted monitoring.

7. A method for managing smart water plant data according to claim 6, characterized in that: When the on-site module detects an abnormal situation, it sends instructions to the autonomous driving tool vehicle through the data signal transmitter, causing it to go to the abnormal location for preliminary processing.

8. The method for managing smart water plant data according to claim 6, characterized in that: When an equipment error is detected, the personnel management component uses a personal positioning terminal to locate the nearest staff member and notifies him / her via wireless communication to go to the fault point for repair.

9. A method for managing smart water plant data according to claim 6, characterized in that: The personal positioning terminal is wirelessly connected to the autonomous driving tool vehicle, so that the staff can send instructions to the autonomous driving tool vehicle through the personal positioning terminal, so that it goes to the designated location to perform tasks; and the sound and light alarm is wirelessly connected to the personal positioning terminal. When an equipment error occurs, data is exchanged with the personal positioning terminal through the sound and light alarm, so that the staff can accurately locate the faulty equipment.

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