CN105516665A - Plant wall monitoring system - Google Patents
Plant wall monitoring system Download PDFInfo
- Publication number
- CN105516665A CN105516665A CN201510919032.6A CN201510919032A CN105516665A CN 105516665 A CN105516665 A CN 105516665A CN 201510919032 A CN201510919032 A CN 201510919032A CN 105516665 A CN105516665 A CN 105516665A
- Authority
- CN
- China
- Prior art keywords
- image
- plant walls
- control module
- detection
- camera module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a plant wall monitoring system, comprising a camera module, a user terminal and a control module. The camera module is used for acquiring a plant wall image; the control module controls the camera module to acquire one plant wall image of the plant wall built recently; then, the control device controls the camera module to acquire one plant wall image for detection every 15-30 days, if a difference value between a gray value of more than 3% of pixel points of a gray level image for detection and the gray value of corresponding pixel points in a standard gray level image is greater than a preset error, the control module judges that the current plant wall has undergrowth possibility; during a period of time, if the control module always judges that the current plant wall has undergrowth possibility according to the plant image for detection of each day, the control module judges that the growth condition of the current plant wall is poor, and transmits the last plant wall image for detection to a user terminal. The plant wall monitoring system automatically monitors and accurately judges growth condition of the plant wall.
Description
Technical field
The present invention relates to a kind of plant walls supervisory control system.
Background technology
Plant walls compiles the body of wall of planting with green plants, utilize the root system of plant to the superpower adaptive ability of growing environment, the plant that occurring in nature is inhabited on level land is for good and all grown on vertical building wall, for architectural design and building decoration provide a kind of novel ecological organic material.People, according to different environmental requirements, have devised different modeling, and height is straggly, the body of wall moulding of harmonious environment, through well-designed and cultivation, refill the light fixture being decorated with wall top and being applicable to plant growth, make plant walls more aobvious attractive in appearance.Plant walls can not only absorb the pernicious gas in air, can also regulate indoor air temperature, humidity, and it is that other arts work are irreplaceable to the benefit that people brings.
But the maintenance of plant walls but becomes a difficult problem.In the maintenance of plant walls; need to look after the every aspects such as water supply, illumination, nutrient solution, deinsectization; once safeguard not in place; plant withered death will be caused; plant walls is not only made to lose decoration functions; and due to plant walls be the body of wall built, cleaning and remove all unusual spended time.
Summary of the invention
For above-mentioned technical problem, the present invention design and develop a kind of can the growing state of automatic decision plant walls, and according to the system of judged result and user terminal communication.
Technical scheme provided by the invention is:
A kind of plant walls supervisory control system, comprising:
Camera module, it is installed near plant walls, for herborization wall image;
User terminal;
Control module, it is connected with camera module, and is radio communication between described user terminal;
Wherein, described control module controls 1 plant walls image after described camera module herborization wall has just been built up, and this plant walls image is sent to described control module, this plant walls image setting is standard picture by described control module, and this standard picture is converted to normal grayscale image by described control module, described control device controls described camera module and gathered 1 detection plant walls image every 15 to 30 days afterwards, gathered detection plant walls image is sent to described control module by described camera module, detection plant walls image is converted to detection gray level image by described control module, pixel in detection gray level image and the pixel in normal grayscale image are done and contrasts seriatim, as detect with more than 3% of gray level image the gray value of pixel and normal grayscale image in corresponding pixel points gray value between difference be greater than default error, then described control module judges that current plant walls exists undergrowth possibility, within a period of time afterwards, described control module controls described camera module and gathers 1 detection plant walls image every day, and detection plant walls image is converted to detection gray level image, pixel in detection gray level image and the pixel in normal grayscale image are done and contrasts seriatim, as detect with more than 3% of gray level image the gray value of pixel and normal grayscale image in corresponding pixel points gray value between difference be greater than default error, as as described in a period of time, according to the detection plant image of every day, described control module is all judged as that current plant walls exists undergrowth possibility, then described control module judges that the growing state of current plant walls is bad, and last 1 the detection plant walls image gathered within described a period of time is sent to user terminal, wherein, described a period of time is 7 to 10 days.
Preferably, in described plant walls supervisory control system, described user terminal sends the control signal of real time inspection plant walls to described control module, described control module opens described camera module, make described camera module Real-time Collection plant walls image, and real-time plant walls image is sent to described user terminal.
Preferably, in described plant walls supervisory control system, described user terminal is mobile phone, and current detection plant walls image is sent to described user terminal by the form of multimedia message or micro-letter by described control module.
Preferably, in described plant walls supervisory control system, described user terminal is computer.
Preferably, in described plant walls supervisory control system, described camera module gathered 1 detection plant walls image every 15 days.
Preferably, in described plant walls supervisory control system, as detect with more than 97% or 97% of gray level image the gray value of point and normal grayscale image in the gray value of corresponding points basically identical, then described control module judges that the growing state of current plant walls is good.
Preferably, in described plant walls supervisory control system, the installation position selection of described camera module exists: the ceiling that plant walls is connected, and makes camera module substantially can photograph the overall picture of plant walls.
Image when plant walls supervisory control system of the present invention is just built up by camera module herborization wall, control module using this image as standard picture, the image of camera module collection is afterwards as detection plant walls image, detection gray level image and normal grayscale image contrast by control module, when detection gray level image more than 3% the gray value of pixel and normal grayscale image in corresponding pixel points gray value between difference be greater than default error, and multiple detection plant walls images of shooting continuously afterwards also meet above-mentioned condition, then illustrate and have plant to may have occurred leaves or the dysgonic situation such as withered, then current detection plant walls image is sent to user terminal by control module, attendant holds the situation that user terminal just can recognize plant walls in time, and judge whether to need to safeguard plant walls according to the situation that current detection plant walls image reflects.
Accompanying drawing explanation
Fig. 1 is the structural representation of plant walls supervisory control system of the present invention.
Fig. 2 is the scheme of installation of camera module in the present invention.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail, can implement according to this with reference to specification word to make those skilled in the art.
As depicted in figs. 1 and 2, the invention provides a kind of plant walls supervisory control system, comprising: camera module 3, it is installed near plant walls 2, for herborization wall image, user terminal, control module, it is connected with camera module, and is radio communication between described user terminal, wherein, described control module controls 1 plant walls image after described camera module herborization wall has just been built up, and this plant walls image is sent to described control module, this plant walls image setting is standard picture by described control module, and this standard picture is converted to normal grayscale image by described control module, described control device controls described camera module and gathered 1 detection plant walls image every 15 to 30 days afterwards, gathered detection plant walls image is sent to described control module by described camera module, detection plant walls image is converted to detection gray level image by described control module, pixel in detection gray level image and the pixel in normal grayscale image are done and contrasts seriatim, as detect with more than 3% of gray level image the gray value of pixel and normal grayscale image in corresponding pixel points gray value between difference be greater than default error, then described control module judges that current plant walls exists undergrowth possibility, within a period of time afterwards, described control module controls described camera module and gathers 1 detection plant walls image every day, and detection plant walls image is converted to detection gray level image, pixel in detection gray level image and the pixel in normal grayscale image are done and contrasts seriatim, as detect with more than 3% of gray level image the gray value of pixel and normal grayscale image in corresponding pixel points gray value between difference be greater than default error, as as described in a period of time, according to the detection plant image of every day, described control module is all judged as that current plant walls exists undergrowth possibility, then described control module judges that the growing state of current plant walls is bad, and last 1 the detection plant walls image gathered within described a period of time is sent to user terminal.
When plant walls is just built up, the growing state of plant walls implants is very good.Find through observing, if safeguard proper, plant walls is between the whole operating period, and the growth of its plant is metastable, substantially there will not be large-area fallen leaves, variable color, the phenomenon such as withered.Therefore, the change of the color layout of the entirety of plant walls, the depth is all according to initial design forming, along with the increase of plant walls service time, large change can't occur.Therefore, image when the present invention just builds up using plant walls as standard picture, and forms a normal grayscale image, as the standard judging plant walls growing state.When in the use procedure in plant walls, the difference between the gray value of corresponding pixel points in the gray value of the pixel of more than 3% and normal grayscale image is had to be greater than default error in detection gray level image, this may mean occurred that plant leaf comes off, withered, the situation of variable color, cause the color of the subregion of plant walls there occurs to change significantly, and then cause the gray value of the pixel in detection gray level image to there occurs change.The concrete numerical value presetting error can set according to the kind of plant and actual conditions.But once judging might not be accurate, and the environmental change such as indoor light, ornaments may all can cause the detection plant walls image of camera module collection to occur deviation.Therefore, when 1 image meets above-mentioned condition, think only there is dysgonic possibility.Afterwards within continuous print a period of time, shorten the time gathering image, all gather 1 image every day and analyze, if all images all meet above-mentioned Rule of judgment, then thinking that the growing state of current plant walls may be greatly there occurs dysgonic situation.And if in a period of time afterwards, there is not similar situation again, or to there occurs again once, but and first time be not continuous print, then think that the growing state of plant walls is good.
When judging that the growing state of plant walls is bad, then current detection plant walls image is sent to user terminal by control module automatically.Attendant can view current detection plant walls image by user terminal, and remote diagnosis is the need of the situation to field review plant walls.Due to the design and installation company of plant walls and the usual Bu Shi a company of the user of plant walls, the user of plant walls does not have the ability safeguarding plant walls, facilitates the growing state of design and installation company tracking in time plant walls like this, and safeguards in time.
Preferably, in described plant walls supervisory control system, described user terminal sends the control signal of real time inspection plant walls to described control module, described control module opens described camera module, make described camera module Real-time Collection plant walls image, and real-time plant walls image is sent to described user terminal.If attendant is seeing the plant walls image sent by control module, think when being difficult to determine, can transmit control signal to control module, realtime graphic is checked in request, then control module opens camera module, make camera module captured in real-time, attendant more clearly can recognize the situation of plant walls, and judging whether needs to safeguard to scene plant walls.
Preferably, in described plant walls supervisory control system, described user terminal is mobile phone, and current detection plant walls image is sent to described user terminal by the form of multimedia message or micro-letter by described control module.
Preferably, in described plant walls supervisory control system, described user terminal is computer.
Preferably, in order to improve the effect of monitoring, judge the growing state of plant walls in time, in described plant walls supervisory control system, described camera module gathered 1 detection plant walls image every 15 days.
Preferably, in described plant walls supervisory control system, as detect with more than 97% or 97% of gray level image point gray value close to or be greater than the gray value of the corresponding points in normal grayscale image, then described control module judges that the growing state of current plant walls is good.When judged result be the growing state of plant walls good time, then do not send current detection plant walls image to user terminal.
Preferably, in described plant walls supervisory control system, the installation position selection of described camera module exists: the ceiling 1 that plant walls 2 is connected, and makes camera module 3 substantially can photograph the overall picture (see Fig. 2) of plant walls.
Although embodiment of the present invention are open as above, but it is not restricted to listed in specification and execution mode utilization, it can be applied to various applicable the field of the invention completely, for those skilled in the art, can easily realize other amendment, therefore do not deviating under the universal that claim and equivalency range limit, the present invention is not limited to specific details and illustrates here and the legend described.
Claims (7)
1. a plant walls supervisory control system, is characterized in that, comprising:
Camera module, it is installed near plant walls, for herborization wall image;
User terminal;
Control module, it is connected with camera module, and is radio communication between described user terminal;
Wherein, described control module controls 1 plant walls image after described camera module herborization wall has just been built up, and this plant walls image is sent to described control module, this plant walls image setting is standard picture by described control module, and this standard picture is converted to normal grayscale image by described control module, described control device controls described camera module and gathered 1 detection plant walls image every 15 to 30 days afterwards, gathered detection plant walls image is sent to described control module by described camera module, detection plant walls image is converted to detection gray level image by described control module, pixel in detection gray level image and the pixel in normal grayscale image are done and contrasts seriatim, as detect with more than 3% of gray level image the gray value of pixel and normal grayscale image in corresponding pixel points gray value between difference be greater than default error, then described control module judges that current plant walls exists undergrowth possibility, within a period of time afterwards, described control module controls described camera module and gathers 1 detection plant walls image every day, and detection plant walls image is converted to detection gray level image, pixel in detection gray level image and the pixel in normal grayscale image are done and contrasts seriatim, as detect with more than 3% of gray level image the gray value of pixel and normal grayscale image in corresponding pixel points gray value between difference be greater than default error, as as described in a period of time, according to the detection plant image of every day, described control module is all judged as that current plant walls exists undergrowth possibility, then described control module judges that the growing state of current plant walls is bad, and last 1 the detection plant walls image gathered within described a period of time is sent to user terminal, wherein, described a period of time is 7 to 10 days.
2. plant walls supervisory control system as claimed in claim 1, it is characterized in that, described user terminal sends the control signal of real time inspection plant walls to described control module, described control module opens described camera module, make described camera module Real-time Collection plant walls image, and real-time plant walls image is sent to described user terminal.
3. plant walls supervisory control system as claimed in claim 1, it is characterized in that, described user terminal is mobile phone, and current detection plant walls image is sent to described user terminal by the form of multimedia message or micro-letter by described control module.
4. plant walls supervisory control system as claimed in claim 1, it is characterized in that, described user terminal is computer.
5. plant walls supervisory control system as claimed in claim 1, is characterized in that, described camera module gathered 1 detection plant walls image every 15 days.
6. plant walls supervisory control system as claimed in claim 1, it is characterized in that, as detect with more than 97% or 97% of gray level image the gray value of point and normal grayscale image in the gray value of corresponding points basically identical, then described control module judges that the growing state of current plant walls is good.
7. plant walls supervisory control system as claimed in claim 1, it is characterized in that, the installation position selection of described camera module exists: the ceiling that plant walls is connected, and makes camera module substantially can photograph the overall picture of plant walls.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510919032.6A CN105516665A (en) | 2015-12-11 | 2015-12-11 | Plant wall monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510919032.6A CN105516665A (en) | 2015-12-11 | 2015-12-11 | Plant wall monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105516665A true CN105516665A (en) | 2016-04-20 |
Family
ID=55724260
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510919032.6A Pending CN105516665A (en) | 2015-12-11 | 2015-12-11 | Plant wall monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105516665A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106790386A (en) * | 2016-11-25 | 2017-05-31 | 深圳市第五感智能花园科技服务有限公司 | A kind of green plant space intelligent curing system |
| CN107066994A (en) * | 2017-05-15 | 2017-08-18 | 中国林业科学研究院 | Assess the method and unmanned plane of savanna tree death rate |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6178253B1 (en) * | 1997-10-10 | 2001-01-23 | Case Corporation | Method of determining and treating the health of a crop |
| CN102564593A (en) * | 2011-12-30 | 2012-07-11 | 河海大学常州校区 | Plant growth condition monitoring system based on compute vision and internet of things |
| US20130235188A1 (en) * | 2010-03-26 | 2013-09-12 | Monsanto Technology Llc | Automated system for germination testing using optical imaging |
| CN103344276A (en) * | 2013-06-20 | 2013-10-09 | 广州市晶华光学电子有限公司 | Monitoring system and camera for plantation |
-
2015
- 2015-12-11 CN CN201510919032.6A patent/CN105516665A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6178253B1 (en) * | 1997-10-10 | 2001-01-23 | Case Corporation | Method of determining and treating the health of a crop |
| US20130235188A1 (en) * | 2010-03-26 | 2013-09-12 | Monsanto Technology Llc | Automated system for germination testing using optical imaging |
| CN102564593A (en) * | 2011-12-30 | 2012-07-11 | 河海大学常州校区 | Plant growth condition monitoring system based on compute vision and internet of things |
| CN103344276A (en) * | 2013-06-20 | 2013-10-09 | 广州市晶华光学电子有限公司 | Monitoring system and camera for plantation |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106790386A (en) * | 2016-11-25 | 2017-05-31 | 深圳市第五感智能花园科技服务有限公司 | A kind of green plant space intelligent curing system |
| CN107066994A (en) * | 2017-05-15 | 2017-08-18 | 中国林业科学研究院 | Assess the method and unmanned plane of savanna tree death rate |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104077725B (en) | The monitoring of potato planting Internet of Things, control and information service cloud platform integrated system | |
| CN205353825U (en) | Greenhouse automatic control system | |
| CN105974972A (en) | Remote plant growing environment intelligent monitoring system and intelligent monitoring method | |
| CN205161283U (en) | Intelligence planter | |
| CN205620838U (en) | Warmhouse booth environmental factor intelligent monitoring system | |
| CN104920114A (en) | Dendrobe seedling environment contrast experiment system based on Internet of things | |
| CN105516665A (en) | Plant wall monitoring system | |
| CN103885509A (en) | Seedling rearing room temperature and humidity control system | |
| CN204653142U (en) | A kind of plant cultivation equipment | |
| CN109631991A (en) | A kind of cell environment management method, device and storage medium | |
| CN105493840A (en) | System for monitoring growth condition of plant wall | |
| CN105516663A (en) | Plant wall growth situation monitoring system | |
| CN105446190A (en) | Greenhouse roller shutter control method of greenhouse | |
| CN103518686B (en) | Drop irrigation cotton field cotton aphid quick monitoring and early warning method | |
| CN109349005A (en) | A kind of edible fungus culturing control system | |
| CN106327308A (en) | Usable growth model building method and device for a plant | |
| CN205389797U (en) | Automatic irrigation system of landscape plant based on thing networking | |
| CN105892532A (en) | Vegetable greenhouse environment intelligent regulation and control system | |
| CN202104094U (en) | Computer management and control system used for plant cultivation | |
| CN208996343U (en) | Prefabricated components wall face brick paving construction system based on BIM | |
| KR20160056857A (en) | Two-way active cultivation under structure control system facilitates a remote control | |
| CN207908882U (en) | Intelligent ecological planting equipment and control system | |
| CN107173286B (en) | Abalone mariculture platform and method for monitoring abalone culture process | |
| Liu et al. | Research and application of agricultural greenhouse intelligence platform based on IoT (Internet of Things) and cloud computing | |
| CN205028185U (en) | Be used for ambient temperature supervisory control |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160420 |
|
| RJ01 | Rejection of invention patent application after publication |