CN220830462U - Internet of things offline ecological flow data monitoring device - Google Patents
Internet of things offline ecological flow data monitoring device Download PDFInfo
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- CN220830462U CN220830462U CN202322548266.7U CN202322548266U CN220830462U CN 220830462 U CN220830462 U CN 220830462U CN 202322548266 U CN202322548266 U CN 202322548266U CN 220830462 U CN220830462 U CN 220830462U
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Abstract
The utility model provides an offline ecological flow data monitoring device of the Internet of things, which comprises a control component, an image acquisition component, a data acquisition component, an indicator lamp component, a WAN port module and a USB interface module, wherein the control component is used for controlling the data acquisition component to acquire the data; the input end of the control component is connected with the image and data acquisition component, the output end of the control component is connected with the indicator lamp component, the data end of the control component is connected with the WAN port and the USB interface module, the WAN port module is used for being connected with the local area network and the control terminal, and the USB interface module is used for being connected with an external USB flash disk; the image and data acquisition component is respectively configured to acquire ecological flow images and data; the indicator light assembly is configured to display the acquired data, the image derived conditions and the control assembly operating state; the control component is configured to encrypt the acquired ecological flow image and data. In addition, the existing data transmission scheme cannot provide current data when the situation of emergency acquisition, statistics and analysis of ecological flow data is faced, so that analysis of the current data by staff is affected.
Description
Technical Field
The utility model relates to the technical field of ecological flow data monitoring, in particular to an offline ecological flow data monitoring device of the Internet of things.
Background
Along with the development of the internet of things, ecological flow data statistical analysis becomes extremely important. The following requirements are set for ecological flow monitoring in the technical instruction opinion of ecological flow supervision platform of small hydropower stations: for the condition without network transmission, the method should save the continuous release picture, video or monitoring data of the ecological flow for backup and has the function of periodically reporting to the appointed supervision platform. The method is characterized in that a camera snapshot mode is preferably adopted to store the ecological flow bleeding photo. And manually uploading the ecological flow discharge data to a supervision platform, wherein at least one photo should be snap shot every hour, and the uploading time interval is not more than 30 days.
When network failure, poor network environment or data access platform debugging and upgrading period occur, data and photos which cannot be uploaded in time, and the situation that individual sites cannot solve the network communication problem and are in no signal for a long time is truly solved, the existing data transmission and storage scheme stores collected data, photos and videos in the local place of a ecological flow monitoring system, and the platform cannot count normally in time and analyze ecological flow data. When the situation that the ecological flow data needs to be obtained, counted and analyzed urgently occurs, the existing data transmission and storage scheme cannot provide the current data, and therefore analysis of the current data by workers is affected.
In view of this, the present application has been proposed.
Disclosure of utility model
The utility model discloses an offline ecological flow data monitoring device of the Internet of things, which can effectively solve the problems that when the situation that ecological flow data needs to be acquired, counted and analyzed urgently occurs, a platform cannot count and analyze ecological flow data in time normally because the acquired data, photos and videos are stored in the local of a ecological flow monitoring system in the prior art in a data transmission and storage scheme, and further the analysis of the current data by workers is affected.
The utility model discloses an offline ecological flow data monitoring device of the Internet of things, which comprises a control assembly, an image acquisition assembly, a data acquisition assembly, an indicator lamp assembly, a WAN port module and a USB interface module;
The input end of the control component is electrically connected with the output end of the image acquisition component and the output end of the data acquisition component, the output end of the control component is electrically connected with the input end of the indicator lamp component, the data end of the control component is electrically connected with the WAN port module and the USB interface module, the WAN port module is used for being connected with a local area network and a remote control terminal, and the USB interface module is used for being connected with an external USB flash disk;
The image acquisition component and the data acquisition component are respectively configured to acquire ecological flow images and data;
The indicator lamp assembly is configured to display acquired data, export conditions of images and operation states of the control assembly;
the control assembly is configured to encrypt and store the ecological flow images and data acquired by the image acquisition assembly and the data acquisition assembly.
Preferably, the control assembly comprises an RTU control module, a power supply module and a storage module, wherein an output end of the power supply module is electrically connected with a power supply end of the RTU control module, and an output end of the RTU control module is electrically connected with an input end of the storage module.
Preferably, the chip model of the RTU control module is H i 3536C chip.
Preferably, the power module is a solar power panel or a battery.
Preferably, the storage module is a hard disk or an SD card.
Preferably, the image acquisition component comprises a plurality of cameras and a plurality of LAN ports matched with the cameras, wherein the output end of each camera is electrically connected with the input end of the control component through each corresponding LAN port.
Preferably, the data acquisition assembly comprises an interface module and a sensor assembly, wherein the output end of the sensor assembly is electrically connected with the input end of the control assembly through the interface module, and the interface module is an IO interface or an RS485 interface.
Preferably, the sensor assembly comprises a water level gauge, a rain gauge, a flowmeter and a liquid level gauge, wherein an output end of the water level gauge, an output end of the rain gauge, an output end of the flowmeter and an output end of the liquid level gauge are electrically connected with an input end of the control assembly through the interface module.
In summary, according to the offline ecological flow data monitoring device for the internet of things provided by the embodiment, for the scene without a network or with a poor network environment, the monitoring data is checked by adopting a mode of timing storage and timing downloading and uploading by a user, namely, the picture, the video and the acquired ecological flow data triggering alarm or timing snapshot are stored according to a specified format, the public key encryption compressed picture, the video and the acquired data obtained from the supervision platform are obtained, the user regularly adopts a u-disk to take out the encrypted compressed data packet from the equipment end, the encrypted compressed data packet is sent to the supervision department and uploaded to the supervision platform, and the supervision platform decrypts, decompresses, verifies and counts the flow data, so that the monitored ecological flow data can be displayed in the supervision platform. Therefore, when the situation that the ecological flow data needs to be obtained, counted and analyzed urgently occurs, the platform cannot count and analyze the ecological flow data normally in time because the data transmission and storage scheme in the prior art stores the collected data, the pictures and the videos in the local place of the ecological flow monitoring system, and therefore the current data cannot be provided, and further the analysis of the current data by workers is affected.
Drawings
Fig. 1 is a schematic structural diagram of an offline ecological flow data monitoring device of the internet of things according to a first aspect of the present utility model.
Fig. 2 is a schematic structural diagram of an offline ecological flow data monitoring device of the internet of things according to a second aspect of the present utility model.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present utility model more apparent, the technical solutions of the embodiments of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model, and it is apparent that the described embodiments are some embodiments of the present utility model, but not all embodiments. All other embodiments, based on the embodiments of the utility model, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the utility model. Thus, the following detailed description of the embodiments of the utility model, as presented in the figures, is not intended to limit the scope of the utility model, as claimed, but is merely representative of selected embodiments of the utility model. All other embodiments, based on the embodiments of the utility model, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the utility model.
Specific embodiments of the present utility model will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1 to 2, a first embodiment of the present utility model provides an offline ecological flow data monitoring device for an internet of things, which includes a control component, an image acquisition component, a data acquisition component, an indicator light component, a WAN port module, and a USB interface module;
The input end of the control component is electrically connected with the output end of the image acquisition component and the output end of the data acquisition component, the output end of the control component is electrically connected with the input end of the indicator lamp component, the data end of the control component is electrically connected with the WAN port module and the USB interface module, the WAN port module is used for being connected with a local area network and a remote control terminal, and the USB interface module is used for being connected with an external USB flash disk;
The image acquisition component and the data acquisition component are respectively configured to acquire ecological flow images and data;
The indicator lamp assembly is configured to display acquired data, export conditions of images and operation states of the control assembly;
the control assembly is configured to encrypt and store the ecological flow images and data acquired by the image acquisition assembly and the data acquisition assembly.
When network failure, poor network environment or data access platform debugging and upgrading period occur, data and photos which cannot be uploaded in time, and the situation that individual sites cannot solve the network communication problem and are in no signal for a long time is truly solved, the existing data transmission and storage scheme stores collected data, photos and videos in the local place of a ecological flow monitoring system, and the platform cannot count normally in time and analyze ecological flow data. When the situation that the ecological flow data needs to be obtained, counted and analyzed urgently occurs, the existing data transmission and storage scheme cannot provide the current data, and therefore analysis of the current data by workers is affected.
Specifically, in this embodiment, the offline ecological flow data monitoring device of the internet of things supplies power to the main chip H I3536C of the control component through solar energy or a battery, and the main chip is externally connected with a plurality of LAN ports to support POE power supply, and one WAN port. The device for monitoring the offline ecological flow data of the Internet of things can be accessed into a network through a WAN port, and enters the device through a local area network to configure the acquisition and storage of the sensor data of the device; the offline ecological flow data monitoring device of the Internet of things further derives an encrypted ecological flow data packet through the USB port. Meanwhile, the offline ecological flow data monitoring device of the Internet of things displays data export conditions and equipment operation states through the LED lamps.
In this embodiment, the offline ecological flow data monitoring device of the internet of things uses manual timing to download an encrypted data packet and upload an ecological flow monitoring related monitoring data packet to a water conservancy supervision platform for data decryption analysis and data display for a scene without a signal or with a poor network environment.
In one possible embodiment of the present utility model, the control assembly includes an RTU control module, a power module, and a storage module, wherein an output end of the power module is electrically connected to a power end of the RTU control module, and an output end of the RTU control module is electrically connected to an input end of the storage module.
Specifically, in this embodiment, the chip type of the RTU control module may be a Hi3536C chip.
Specifically, in this embodiment, the power module may be a solar power panel or a battery.
Specifically, in this embodiment, the storage module may be a hard disk or an SD card.
In this embodiment, the power module may be powered by solar energy or battery; the storage module can adopt a hard disk or an SD card to store the collected ecological flow data, the alarm or the video and picture data collected at fixed time.
In this embodiment, the RTU control module controls the camera to collect the field image and record the video at regular time, controls the sensor to collect the ecological flow data, stores the collected image, video and ecological flow data in an encrypted manner, and controls the led lamp flicker frequency during the data export and export. The control component is used for keeping the data transmission standard format of the collected sensor data content storage format, the sensor data file naming, the video file naming, the snap-shot picture file naming, the file storage structures, the finally generated compressed package file naming and the compression method.
In one possible embodiment of the present utility model, the image capturing component includes a plurality of cameras and a plurality of LAN ports matched with the plurality of cameras, wherein an output end of each of the cameras is electrically connected with an input end of the control component through each of the corresponding LAN ports.
Specifically, in this embodiment, a plurality of cameras and the offline ecological flow data monitoring device of the internet of things are directly connected through a LAN port; IPC (camera) is used to monitor field conditions, i.e. to regularly acquire field pictures and video data.
In one possible embodiment of the present utility model, the data acquisition component includes an interface module, and a sensor component, where an output end of the sensor component is electrically connected to an input end of the control component through the interface module, and the interface module is an IO interface or an RS485 interface.
Specifically, in this embodiment, the sensor assembly includes a water level gauge, a rain gauge, a flow meter, and a liquid level gauge, where an output end of the water level gauge, an output end of the rain gauge, an output end of the flow meter, and an output end of the liquid level gauge are electrically connected with an input end of the control assembly through the interface module.
In this embodiment, the offline ecological flow data monitoring device of the internet of things is connected with devices such as an acquisition sensor through an IO port or an RS485 port; the sensing acquisition module can adopt sensors such as a water level gauge, a rain gauge, a flowmeter, a liquid level gauge and the like and is used for acquiring ecological flow data.
In brief, the control part of the offline ecological flow data monitoring device of the internet of things mainly performs three tasks, wherein the first task is to collect data of a monitoring site through a sensor and store the data into an sd card or a hard disk according to a specified format; the second task is to start a camera to capture images of the current monitoring site when timing or triggering an alarm; the third task is to start the camera to record the video of the current monitoring site when the alarm is timed or triggered. Meanwhile, the offline ecological flow data monitoring device of the internet of things needs to control the led flicker frequency when data is exported, namely, when a user accesses a u disk to download data, the led flicker in the downloading process, and the led is always on when the downloading is finished, so that the user can conveniently release the downloading progress. And can be supplied with electricity for a long time through a solar panel or a battery.
When the network environment is worse, the data is uploaded to the supervision platform in a mode of periodically exporting by a user. The process of periodically exporting data by a user to a remote supervision platform is as follows:
The first step: the user obtains an encrypted public key from the monitoring platform;
And a second step of: storing the acquired ecological flow sensor data, picture data and video data into a hard disk or sd card by using an encryption public key in monitoring equipment according to a specified required format, and encrypting and packaging the acquired encryption public key;
And a third step of: the user takes out the encrypted and compressed data packet from the equipment end by adopting the USB flash disk according to the set time, and uploads the encrypted and compressed data packet to the supervision platform;
fourth step: and the supervision platform decrypts and verifies the data format, imports the supervision data and displays the supervision result.
The remote supervision platform transmits the encryption public key and receives the uploaded images, video and ecological flow data of the RTU equipment; the received images and videos are stored in a database, and the corresponding images and videos can be queried according to time so as to know the situation of the current site; and (3) making a statistical chart from the uploaded ecological flow data, and intuitively displaying the on-site ecological flow condition.
In general, for scenes without network or with worse network environment, the monitoring data is checked by adopting a mode of timing storage and timing downloading and uploading by a user, namely, the picture, video and collected ecological flow data triggering alarm or timing snapshot are stored according to a specified format, the public key encrypted compressed picture, video and collected data obtained from a supervision platform are obtained, the user regularly adopts a u-disc to take out the encrypted compressed data packet from the equipment end, the encrypted compressed data packet is sent to a supervision department, the encrypted compressed data packet is uploaded to the supervision platform, and the supervision platform decrypts, decompresses, verifies and counts the ecological flow data, so that the monitored ecological flow data can be displayed in the supervision platform.
In summary, the offline ecological flow data monitoring device of the internet of things provides equipment for monitoring ecological flow data when no signal or network environment is poor for a supervision platform, the ecological flow monitoring data can be simply exported by usb, and the data export progress is displayed by led flicker frequency; the remote supervision platform can acquire on-site images, video recordings and ecological flow data of a month in a no-signal period, and provides favorable data for a monitor to analyze and count ecological flow; the offline ecological flow data monitoring device of the Internet of things is easy to install and can intelligently calculate ecological flow.
For scenes without signals or with poor network environment, the remote supervision platform can acquire ecological flow monitoring data, pictures and videos for statistics and analysis through the offline ecological flow data monitoring device of the Internet of things. The offline ecological flow data monitoring device of the Internet of things can count single month ecological images, videos and flow data in a signal-free period, can derive data in a usb interface derivation mode, and enables a user to know the derivation progress through LED lamp flickering frequency during derivation, and is convenient for personnel to analyze and monitor the data through uploading to a remote supervision platform.
The above is only a preferred embodiment of the present utility model, and the protection scope of the present utility model is not limited to the above examples, and all technical solutions belonging to the concept of the present utility model belong to the protection scope of the present utility model.
Claims (8)
1. The device for monitoring the offline ecological flow data of the Internet of things is characterized by comprising a control assembly, an image acquisition assembly, a data acquisition assembly, an indicator lamp assembly, a WAN port module and a USB interface module;
The input end of the control component is electrically connected with the output end of the image acquisition component and the output end of the data acquisition component, the output end of the control component is electrically connected with the input end of the indicator lamp component, the data end of the control component is electrically connected with the WAN port module and the USB interface module, the WAN port module is used for being connected with a local area network and a remote control terminal, and the USB interface module is used for being connected with an external USB flash disk;
The image acquisition component and the data acquisition component are respectively configured to acquire ecological flow images and data;
The indicator lamp assembly is configured to display acquired data, export conditions of images and operation states of the control assembly;
the control assembly is configured to encrypt and store the ecological flow images and data acquired by the image acquisition assembly and the data acquisition assembly.
2. The device for monitoring the offline ecological flow data of the internet of things according to claim 1, wherein the control assembly comprises an RTU control module, a power module and a storage module, wherein the output end of the power module is electrically connected with the power end of the RTU control module, and the output end of the RTU control module is electrically connected with the input end of the storage module.
3. The internet of things offline ecological flow data monitoring device according to claim 2, wherein the chip model of the RTU control module is a Hi 3536C chip.
4. The device for monitoring offline ecological flow data of the internet of things according to claim 2, wherein the power supply module is a solar power supply panel or a battery.
5. The device for monitoring offline ecological flow data of the internet of things according to claim 2, wherein the storage module is a hard disk or an SD card.
6. The device for monitoring offline ecological flow data of the internet of things according to claim 1, wherein the image acquisition component comprises a plurality of cameras and a plurality of LAN ports matched with the cameras, and an output end of each camera is electrically connected with an input end of the control component through each corresponding LAN port.
7. The device for monitoring the offline ecological flow data of the internet of things according to claim 1, wherein the data acquisition component comprises an interface module and a sensor component, wherein the output end of the sensor component is electrically connected with the input end of the control component through the interface module, and the interface module is an IO interface or an RS485 interface.
8. The internet of things offline ecological flow data monitoring device of claim 7, wherein the sensor assembly comprises a water level gauge, a rain gauge, a flow meter, and a liquid level gauge, wherein an output end of the water level gauge, an output end of the rain gauge, an output end of the flow meter, and an output end of the liquid level gauge are electrically connected with an input end of the control assembly through the interface module.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202322548266.7U CN220830462U (en) | 2023-09-19 | 2023-09-19 | Internet of things offline ecological flow data monitoring device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202322548266.7U CN220830462U (en) | 2023-09-19 | 2023-09-19 | Internet of things offline ecological flow data monitoring device |
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| CN220830462U true CN220830462U (en) | 2024-04-23 |
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| CN202322548266.7U Active CN220830462U (en) | 2023-09-19 | 2023-09-19 | Internet of things offline ecological flow data monitoring device |
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- 2023-09-19 CN CN202322548266.7U patent/CN220830462U/en active Active
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