Project data management system and method

Abstract

The invention provides a project data management system and method.The system comprises a cloud module, a master control module, a branch management module and a monitoring module which are sequentially connected in series, every two adjacent modules connected in series are interactively connected, the cloud module is interactively connected with the branch management module, and the monitoring module sends data to the cloud module; and the branch management module receives monitoring data of the monitoring module on the multiple sites, preprocesses the monitoring data, gathers the monitoring data and sends the monitoring data to the master control module. The problem that the processing response speed is low due to the fact that the master control module needs to receive and process more data can be avoided, and long-term stable operation of the project data management system is facilitated; according to the invention, monitoring can be carried out at a local site to realize quick response, and convenient observation and monitoring can be realized at a master control remote end to carry out quick resource regulation and control, so that the accuracy of equipment abnormity judgment can be improved, and the possibility of misjudgment is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of smart water plants, and in particular to a project data management system and method. Background Art

[0002] The construction of the data management method and management system of the smart water plant project aims to improve the management efficiency and service level of water resources, and realize the intelligent management of the water plant by integrating modern information technology (such as the Internet of Things, big data, cloud computing, etc.).

[0003] The existing data management system of smart water plant projects usually needs to aggregate multiple monitoring data and transmit them to the main control center for analysis. The large amount of monitoring data from multiple sites can easily cause data transmission congestion or cause the main controller to analyze and process too much data, causing the equipment to overload and be unable to respond and process quickly.

[0004] Smart water plant project data management in the prior art, such as Chinese patent document CN117670306A, provides a BIM-based smart operation and maintenance digital twin system for sewage plants. The device uses BIM technology to develop a smart operation and maintenance system to provide strong support for the safe and stable operation of the sewage plant. When a device fails, it will automatically alarm. The operation and maintenance personnel can quickly locate the device based on the BIM model and assign technical personnel to carry out maintenance. They can control the various states of the sewage plant at any time and manage the operation of each device in a fine manner, thereby improving the convenience of the overall use of the system. Although the device has many beneficial effects, the following problems still exist: In the above-mentioned system, it is necessary to summarize multiple monitoring data and transmit them to the main control center for analysis. There are many monitoring data from multiple sites, and the fine management and analysis of the data of each device can easily cause data transmission congestion or cause the processor module and the BIM intelligent operation and maintenance module to analyze and process more, causing the equipment to overload and unable to respond and process quickly. For this reason, we propose a project data management method and management system. Summary of the invention

[0005] The present invention provides a project data management system and method, which improve the response speed and processing speed of project data of a smart water plant.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: A project data management system, the system includes a cloud module, a master control module, a sub-module and a monitoring module connected in series in sequence, two adjacent modules in series are interactively connected, the cloud module is interactively connected with the sub-module, the monitoring module sends data to the cloud module, the sub-module receives monitoring data of multiple sites from the monitoring module, and the sub-module pre-processes the monitoring data and then summarizes and sends it to the master control module.

[0007] The above-mentioned master control module includes a master control terminal, a data storage terminal server and a data transceiver terminal which are electrically connected in series.

[0008] The data transceiver terminal is electrically connected to a wired display and a wireless display.

[0009] The above-mentioned sub-module is provided with a sub-data transceiver, a sub-data storage device, a sub-controller and an image processing analyzer which are interconnected in sequence. The sub-data transceiver is electrically connected to a sub-wired monitor and a sub-wireless monitor. The sub-data transceiver receives monitoring data of multiple modules in the monitoring module on multiple sites. The sub-controller outputs a control signal to the photoelectric alarm in the monitoring module. The sub-data transceiver is interconnected with the data transceiver terminal in the master control module.

[0010] The above-mentioned monitoring module contains multiple modules including a drive component, a fan component, a dosing component, a water condition monitoring component, an air monitoring component, a video recorder and an electric valve.

[0011] The above-mentioned cloud module includes a cloud data transceiver and a cloud data processor. The cloud data processor has a built-in Flink big data processing framework for analyzing device data. The cloud data transceiver is wirelessly connected to the cloud data processor. The cloud data transceiver receives data from the data transceiver terminal in the master control module and the data transceiver in the sub-module.

[0012] The photoelectric alarm in the above-mentioned monitoring module is wirelessly connected to the cloud module.

[0013] A data management method using the above-mentioned project data management system includes: The responsible modules are equipped with multiple coordinated monitoring modules to monitor multiple sites. After the monitoring modules monitor the data, preliminary data processing and analysis are carried out locally, and then the local photoelectric alarm is coordinated to warn of abnormal equipment operation. The local data is then summarized to the main control module, and the main control module directly receives the abnormal information without processing.

[0014] The above-mentioned video recorder records images of the local working environment and cooperates with the image processing analyzer to perform feature recognition after data analysis, and then summarizes the image features to the controller in charge. The controller in charge compares and analyzes the image features with the monitoring data of the monitoring module and then determines whether the equipment is operating abnormally. When it is determined to be abnormal, the controller in charge sends a control signal to the photoelectric alarm, and the photoelectric alarm sends out sound and light alarms to remind the staff.

[0015] The present invention provides a project data management system and method. Compared with the prior art, the present invention has the following beneficial effects: 1. The sub-module can be set up with multiple monitoring modules to monitor multiple sites. After the monitoring module monitors the data, it can perform preliminary data processing and analysis at the monitoring location, and then cooperate with the local photoelectric alarm to warn of abnormal equipment operation. Then the local data is summarized to the master control module, and the master control module can directly receive abnormal information without processing, which can avoid the problem that the master control module needs to receive and process a lot of data and the processing response speed is slow, which is conducive to the long-term stable operation of the project data management system; 2. Wireless displays and sub-wireless monitors, as well as wired displays and sub-wired monitors, provide multiple options for equipment observation and monitoring. They can monitor at local sites for rapid response, or they can monitor and control resources quickly at the master control remote end. In addition, wireless displays and sub-wireless monitors can use WiFi, mobile networks and Bluetooth for data transceiver terminals to communicate with sub-data transceivers. 3. Record the local working environment through a video recorder and cooperate with the image processing analyzer to perform feature recognition after data analysis, and then summarize the image features to the controller in charge. The controller in charge can compare and analyze the image features with the monitoring data of the monitoring module and then determine whether the equipment is operating abnormally, thereby improving the accuracy of equipment abnormality judgment and reducing the possibility of misjudgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying 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 specific equipment connection of each module of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solutions and advantages of the present invention clearer, the following content will systematically and completely describe the specific technical solutions of the present invention in combination with the drawings provided according to the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0018] A project data management system, the system includes a cloud module, a master control module, a sub-module and a monitoring module connected in series in sequence, two adjacent modules in series are interactively connected, the cloud module is interactively connected with the sub-module, the monitoring module sends data to the cloud module, the sub-module receives monitoring data of multiple sites from the monitoring module, and the sub-module pre-processes the monitoring data and then summarizes and sends it to the master control module.

[0019] The above-mentioned master control module includes a master control terminal, a data storage terminal server and a data transceiver terminal which are electrically connected in series.

[0020] The data transceiver terminal is electrically connected to a wired display and a wireless display.

[0021] The above-mentioned sub-module is provided with a sub-data transceiver, a sub-data storage device, a sub-controller and an image processing analyzer which are interconnected in sequence. The sub-data transceiver is electrically connected to a sub-wired monitor and a sub-wireless monitor. The sub-data transceiver receives monitoring data of multiple modules in the monitoring module on multiple sites. The sub-controller outputs a control signal to the photoelectric alarm in the monitoring module. The sub-data transceiver is interconnected with the data transceiver terminal in the master control module.

[0022] The above-mentioned monitoring module contains multiple modules including a drive component, a fan component, a dosing component, a water condition monitoring component, an air monitoring component, a video recorder and an electric valve.

[0023] The above-mentioned cloud module includes a cloud data transceiver and a cloud data processor. The cloud data transceiver is wirelessly connected to the cloud data processor, and the cloud data transceiver receives data from the data transceiver terminal in the master control module and the data transceiver in the sub-module.

[0024] The photoelectric alarm in the above-mentioned monitoring module is wirelessly connected to the cloud module.

[0025] A data management method using the above-mentioned project data management system includes: After receiving the monitoring data from the monitoring module, the sub-module performs preliminary data processing and analysis at the monitoring location, and then aggregates the local data to the master control module, which displays the data on the wired display and the wireless display after receiving the data; The video recorder records images of the local working environment and cooperates with the image processing analyzer to perform feature recognition after data analysis, and then summarizes the image features to the controller in charge. The controller in charge compares and analyzes the image features with the monitoring data of the monitoring module and then determines whether the equipment is operating abnormally. When it is determined to be abnormal, the controller in charge sends a control signal to the photoelectric alarm, and the photoelectric alarm emits sound and light alarms to remind the staff.

[0026] Embodiment 1: See also Figure 1-Figure 2 , a project data management method and management system shown in the figure, including: The main control module, sub-module, cloud module and monitoring module are electrically connected in series. The main control module includes a main control terminal, a data storage server and a data transceiver terminal that are electrically connected in series. Multiple sub-modules can be set to cooperate with multiple monitoring modules to monitor multiple sites. After the monitoring module monitors the data, preliminary data processing and analysis can be carried out locally, and then the local photoelectric alarm can be used to warn of abnormal equipment operation. Then the local data is summarized to the main control module. The main control module can directly receive abnormal information without processing, which can avoid the problem that the main control module needs to receive and process a lot of data and the processing response speed is slow, which is conducive to the long-term stable operation of the project data management system. The main control terminal and sub-controller use PL C controller, among which the master control terminal has higher specifications, and the sub-controller has lower specifications. The PLC controller can be pre-set with each electrical component. The data transceiver terminal is electrically connected with a wired display and a wireless display. The wireless display and the sub-controller wireless monitor can be handheld wireless terminals with touch screens. The wireless display and the sub-controller wireless monitor as well as the wired display and the sub-controller wired monitor provide a variety of options for equipment observation and monitoring, which can monitor at the local site to achieve rapid response, or realize convenient observation and monitoring at the master control remote end for rapid resource regulation. In addition, the wireless display and the sub-controller wireless monitor can use WiFi, mobile network and Bluetooth to communicate with the data transceiver terminal and the sub-controller data transceiver. The sub-module includes a sub-data transceiver, a sub-data storage device, a sub-controller and an image processing analyzer electrically connected in series. The sub-data storage device and the data storage server are common data storage devices. The sub-data transceiver is electrically connected to a sub-wired monitor and a sub-wireless monitor. The cloud module includes a cloud data transceiver and a cloud data processor. The cloud data transceiver is wirelessly connected to the cloud data processor. The monitoring module includes a driving component, a fan component, a dosing component, a water condition monitoring component, an air monitoring component, a video recorder, an electric valve and a photoelectric alarm electrically connected in series. The driving component is used to drive the mechanical equipment to operate, the fan component is used to ventilate the site, the dosing component is used to add medicine to the water, the water condition monitoring component The measuring component can monitor the flow rate, pressure, temperature, pH value, and water level data of the water in the water transport or storage container. The air monitoring component is used to monitor the air quality in the working environment. The video recorder records the video in the working environment. The electric valve is used to control the on-off of the pipeline. The photoelectric alarm can send out sound and light alarms to remind the staff whether the equipment is working normally. The local working environment is recorded by the video recorder and the image processing analyzer is used to analyze the data and then perform feature recognition. The image features are then summarized to the controller in charge. The controller in charge can compare and analyze the image features with the monitoring data of the monitoring module and then determine whether the equipment is operating abnormally, thereby improving the accuracy of judging equipment abnormalities and reducing the possibility of misjudgment.

[0027] Specifically, the photoelectric warning device is electrically connected to the controller in charge.

[0028] Furthermore, the photoelectric warning device is wirelessly connected to the cloud module.

[0029] Furthermore, the drive assembly, the fan assembly, the dosing assembly, the water condition monitoring assembly, the air monitoring assembly, the video recorder, and the electric valve are electrically connected to the data transceiver in charge.

[0030] Furthermore, the cloud data transceiver is wirelessly connected to the data transceiver terminal and the distributed data transceiver.

[0031] It is worth noting that the data transceiver terminal is electrically connected to the data transceiver in charge.

[0032] It is worth noting that the sub-module, cloud module and monitoring module are electrically connected.

[0033] In addition, the electrical components and electrical equipment mentioned above all use external power supplies. The circuits, electronic components and modules involved in the present invention are all prior art, and those skilled in the art can fully implement them. Needless to say, the content protected by the present invention does not involve improvements to the internal structure and method. Working principle: Multiple sub-modules can be set up to cooperate with multiple monitoring modules to monitor multiple sites. After each monitoring module monitors the data, the sub-module can be used to perform preliminary data processing and analysis at the monitoring site. When the sub-module performs preliminary data processing, the cloud module can assist the sub-module in performing big data analysis on simplified abnormal data. Then the sub-module obtains the operating results of the equipment with abnormal data, and can cooperate with the local photoelectric alarm to warn of abnormal equipment operation. At the same time, the sub-module simplifies and summarizes the data results, and then summarizes the simplified local data to the master control module. The master control module can directly receive the simplified abnormal information without processing, and only needs to store and display the data, which can greatly reduce the data processing burden of the master control module, making the master control module in a light-burden state, which can be more conducive to the overall control of the smart water plant, and can avoid the problem that the master control module needs to receive and process a lot of data and the processing response speed is slow, which is conducive to the long-term stable operation of the project data management system; Wireless displays and sub-wireless monitors as well as wired displays and sub-wired monitors provide multiple options for equipment observation and monitoring, which can be used for monitoring at local sites to achieve rapid response, or for convenient observation and monitoring at the master control remote end to achieve rapid resource regulation. In addition, wireless displays and sub-wireless monitors can use WiFi, mobile networks and Bluetooth for data transceiver terminals to communicate with sub-data transceivers. The local working environment is recorded by a video recorder and the image processing analyzer is used to perform feature recognition after data analysis. The image features are then summarized to the controller in charge. The controller in charge can compare and analyze the image features with the monitoring data of the monitoring module to determine whether the equipment is operating abnormally. For example, if a fire occurs in the equipment, the fire image can be recorded, and then the image can be analyzed to obtain the image features. At this time, the controller in charge can compare the feature recognition with the monitoring data to finally confirm whether a fire has actually occurred, thereby improving the accuracy of judging equipment abnormalities and reducing the possibility of misjudgment.

[0034] Embodiment 2: A project data management method and management system, comprising: The main control module, sub-module, cloud module and monitoring module are electrically connected in series. The main control module includes a main control terminal, a data storage server and a data transceiver terminal which are electrically connected in series. The data transceiver terminal is electrically connected with a wired display and a wireless display, wherein the wired display and the wireless display can be a common fixed display and a mobile tablet computer. The sub-module includes a sub-data transceiver, a sub-data storage device, a sub-controller and an image processing analyzer which are electrically connected in series. The sub-data transceiver is electrically connected with a wired monitor and a wireless monitor. The cloud module includes a cloud data transceiver and a cloud data processor. The cloud data processor has a built-in Flink big data processing framework for analyzing device data. The cloud data transceiver is wirelessly connected to the cloud data processor. The monitoring module includes a drive component, a fan component, a dosing component, a water condition monitoring component, an air monitoring component, a video recorder, an electric valve and a photoelectric alarm which are electrically connected in series. The drive component is used to drive the mechanical equipment to operate. The fan component is an axial flow fan of a common model on the market. In order to utilize wind support for the working environment or water treatment, the water monitoring component can use the online multi-parameter water quality sensor of Feimeng Electronics on the market; the video recorder can use the common industrial camera on the market; the air monitoring component can use the device of AQ model FCS10-25 on the market. The water monitoring component can be installed in the water position of water storage tanks, water tanks, pipelines, etc. The air monitoring component and video recorder can be installed on the outer wall, bracket or pole of large equipment in the factory area. The photoelectric alarm can be installed in a conspicuous position of the equipment. Other sensor components can be installed on specific water storage tanks, conveying equipment or driving equipment and other key equipment in the factory area, and the key equipment can be monitored. Similarly, the master control module can be merged into the cloud module. At this time, the data calculation of the cloud module can be used to amplify the data calculation of the master control module, thereby improving the calculation response speed of the master control module and the control length of the master control module over the data of the entire factory area. At the same time, the master control module can quickly connect to multiple site modules, which is more convenient for the management of the factory area.

[0035] Specifically, the photoelectric warning device is electrically connected to the controller in charge.

[0036] Furthermore, the photoelectric warning device is wirelessly connected to the cloud module.

[0037] Furthermore, the drive component, fan component, dosing component, water condition monitoring component, air monitoring component, video recorder, and electric valve are electrically connected to the data transceiver in charge. For example, when the water condition monitoring component finds that there is a problem with the water quality, the data can be transmitted to the module in charge, and then the module in charge processes the data and commands the photoelectric alarm to sound an alarm through the data transceiver in charge. At the same time, the simplified result data after processing and analysis is sent to the data transceiver terminal by the data transceiver in charge, and then displayed on the wired display and wireless display of the main control terminal. At the same time, the data transceiver in charge can synchronously send the information to the wired monitor in charge and the wireless monitor in charge. At this time, the module in charge can cooperate with the wired monitor and the wireless monitor in charge to instruct the staff to perform equipment maintenance.

[0038] Furthermore, the cloud data transceiver is wirelessly connected to the data transceiver terminal and the distributed data transceiver.

[0039] It is worth noting that the data transceiver terminal is electrically connected to the data transceiver in charge.

[0040] It is worth noting that the sub-module, cloud module and monitoring module are electrically connected.

[0041] In addition, the electrical components and electrical equipment mentioned above all use external power supplies. The circuits, electronic components and modules involved in the present invention are all prior art, and those skilled in the art can fully implement them. Needless to say, the content protected by the present invention does not involve improvements to the internal structure and method. Working principle: The sub-module can be set up with multiple monitoring modules to monitor multiple sites. After each monitoring module monitors the data, the sub-module can be used to perform preliminary data processing and analysis in the monitoring local area. When the sub-module performs preliminary data processing, the cloud module can assist the sub-module in performing big data analysis on the simplified abnormal data. Then the sub-module obtains the operating results of the equipment with abnormal data, and can cooperate with the local photoelectric alarm to warn of abnormal equipment operation. At the same time, the sub-module simplifies and summarizes the data results, and then summarizes the simplified local data to the master control module. The master control module can directly receive the simplified abnormal information without processing, and only needs to store and display the data, which can greatly reduce the data processing burden of the master control module, making the master control module in a light-burden state, which can be more conducive to the overall control of the smart water plant, and can avoid the problem that the master control module needs to receive and process a lot of data and the processing response speed is slow, which helps to improve the response speed and efficiency of the system, ensure that measures can be taken in time when abnormalities occur, reduce potential losses, and is conducive to the long-term stable operation of the project data management system; Wireless displays and sub-wireless monitors as well as wired displays and sub-wired monitors provide multiple options for equipment observation and monitoring, which can be used for monitoring at local sites to achieve rapid response, or for convenient observation and monitoring at the master control remote end to achieve rapid resource regulation. In addition, wireless displays and sub-wireless monitors can use WiFi, mobile networks and Bluetooth for data transceiver terminals to communicate with sub-data transceivers. The local working environment is recorded by a video recorder and the image processing analyzer is used to perform feature recognition after data analysis. The image features are then summarized to the controller in charge. The controller in charge can compare and analyze the image features with the monitoring data of the monitoring module to determine whether the equipment is operating abnormally. For example, if a fire occurs in the equipment, the fire image can be recorded, and then the image can be analyzed to obtain the image features. At this time, the controller in charge can compare the feature recognition with the monitoring data to finally confirm whether a fire has actually occurred, thereby improving the accuracy of judging equipment abnormalities and reducing the possibility of misjudgment.

[0042] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0043] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A project data management system, characterized in that: The system includes a cloud module, a master control module, a sub-module and a monitoring module connected in series in sequence. Two adjacent modules in series are interactively connected, the cloud module is interactively connected with the sub-module, the monitoring module sends data to the cloud module, the sub-module receives monitoring data of multiple sites from the monitoring module, and the sub-module pre-processes the monitoring data and then summarizes and sends it to the master control module.

2. A project data management system according to claim 1, characterized in that: The master control module comprises a master control terminal, a data storage terminal server and a data transceiver terminal which are electrically connected in series.

3. A project data management system according to claim 2, characterized in that: The data transceiver terminal is electrically connected to a wired display and a wireless display.

4. A project data management system according to claim 3, characterized in that: The sub-module is provided with a sub-data transceiver, a sub-data storage device, a sub-controller and an image processing analyzer which are interconnected in sequence. The sub-data transceiver is electrically connected to a sub-wired monitor and a sub-wireless monitor. The sub-data transceiver receives monitoring data of multiple modules in the monitoring module on multiple sites. The sub-controller outputs a control signal to the photoelectric alarm in the monitoring module. The sub-data transceiver is interconnected with the data transceiver terminal in the master control module.

5. A project data management system according to claim 4, characterized in that: The monitoring module contains multiple modules including a drive component, a fan component, a dosing component, a water condition monitoring component, an air monitoring component, a video recorder and an electric valve.

6. A project data management system according to claim 5, characterized in that: The cloud module includes a cloud data transceiver and a cloud data processor. The cloud data transceiver is wirelessly connected to the cloud data processor. The cloud data transceiver receives data from the data transceiver terminal in the master control module and the data transceiver in the sub-module.

7. A project data management system according to claim 6, characterized in that: The photoelectric alarm in the monitoring module is wirelessly connected to the cloud module.

8. A data management method using a project data management system as claimed in claim 6, characterized in that: include: The responsible modules are equipped with multiple coordinated monitoring modules to monitor multiple sites. After the monitoring modules monitor the data, preliminary data processing and analysis are carried out locally, and then the local photoelectric alarm is coordinated to warn of abnormal equipment operation. The local data is then summarized to the main control module, and the main control module directly receives the abnormal information without processing.

9. A data management method using a project data management system as claimed in claim 8, characterized in that: The video recorder records images of the local working environment and cooperates with the image processing analyzer to perform feature recognition after data analysis, and then summarizes the image features to the controller in charge. The controller in charge compares and analyzes the image features with the monitoring data of the monitoring module and then determines whether the equipment is operating abnormally. When it is determined to be abnormal, the controller in charge sends a control signal to the photoelectric alarm, and the photoelectric alarm sends an audible and visual alarm to remind the staff.

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