CN112288978A - Sunflower is planted and is used theftproof monitoring device based on big data processing - Google Patents
Sunflower is planted and is used theftproof monitoring device based on big data processing Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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Abstract
The invention discloses an anti-theft monitoring device for sunflower planting based on big data processing, and relates to the technical field of sunflower greenhouse planting. The solar greenhouse comprises an anti-theft monitoring component, a moving mechanism, a solar panel, a storage battery pack and a control cabinet, wherein the anti-theft monitoring component is fixed at the bottom of the moving mechanism, the moving mechanism is fixed on the inner top surface of a greenhouse, and the solar panel and the storage battery pack are respectively arranged at the top of the greenhouse. According to the invention, the infrared camera probe, the iris acquisition probe and the big data module are arranged, so that the monitoring device has the anti-theft capability, the anti-theft accuracy of the monitoring device is greatly improved by an anti-theft combination measure combining actions of human faces, irises and big data, and the monitoring device can movably monitor the environment of each region in the greenhouse by arranging the moving mechanism and the three layers of environment monitoring sensor groups, so that the monitoring accuracy of the environment in the greenhouse is improved.
Description
Technical Field
The invention belongs to the technical field of sunflower greenhouse planting, and particularly relates to an anti-theft monitoring device for sunflower planting based on big data processing.
Background
The sunflower is named as sunflower, annual herbaceous plants, 1-3 meters high, upright stems, thick and strong, round and polygonal corners are planted in northern America of primary origin, the sunflower is sweet and flat in nature and has the functions of expelling parasites and stopping dysentery when entering large intestine channels, the sunflower contains more than 50% of fatty oil, wherein the linoleic acid accounts for 70%, and the sunflower further contains phospholipid and the like, so that the sunflower has a good lipid-lowering effect, the sunflower has a prevention effect on acute hyperlipidemia and chronic hypercholesterolemia of experimental animals, the oil in the sunflower, particularly the linoleic acid part, can inhibit experimental thrombosis, the sunflower and the oil have the effect of moistening skin and hair, the sunflower is planted in a greenhouse at present, and the sunflower is needed to be monitored for the environment in the greenhouse and prevented from being stolen by illegal personnel.
However, the existing anti-theft monitoring device for sunflower greenhouse planting has the following disadvantages in use:
1. the existing anti-theft monitoring device has poor anti-theft accuracy and single anti-theft measure, is difficult to be combined with a large data system for preventing theft, and needs to be improved;
2. the existing anti-theft monitoring device has unsatisfactory monitoring accuracy of the environment in the shed and is difficult to monitor parameters in each area in the shed.
There is therefore a need for improvements in the prior art to address the above-mentioned problems.
Disclosure of Invention
The invention aims to provide a sunflower planting anti-theft monitoring device based on big data processing, which has anti-theft capability by arranging an infrared camera probe, an iris acquisition probe and a big data module, greatly improves the anti-theft accuracy of the monitoring device by an anti-theft combination measure combining human face, iris and big data action, can movably monitor the environment of each area in a greenhouse by arranging a moving mechanism and three layers of environment monitoring sensor groups, improves the monitoring accuracy of the environment in the greenhouse, and solves the problems of poor anti-theft accuracy and unsatisfactory monitoring accuracy of the environment in the greenhouse of the existing sunflower planting anti-theft monitoring device for the greenhouse.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention relates to a big data processing based anti-theft monitoring device for sunflower planting, which comprises an anti-theft monitoring component, a moving mechanism, a solar panel, a storage battery and a control cabinet, wherein the anti-theft monitoring component is fixed at the bottom of the moving mechanism, the moving mechanism is fixed on the inner top surface of a greenhouse, the top of the greenhouse is respectively provided with the solar panel and the storage battery, the storage battery is connected with the anti-theft monitoring component through a wire, the wire is pulled through a wire pulling mechanism, the lower end of the side surface of the greenhouse is provided with the control cabinet, the top of the control cabinet is provided with an LED screen, and the control cabinet is internally provided with a single chip microcomputer controller, a big data module, a memory, a wireless communication module and an alarm short message sending;
the anti-theft monitoring assembly comprises a vertical rod, a first mounting cylinder and a second mounting cylinder, wherein the first mounting cylinder is fixedly sleeved at the upper end of the vertical rod, four infrared camera probes and four iris acquisition probes are uniformly arranged on the peripheral surface of the first mounting cylinder, three second mounting cylinders which are distributed at equal intervals are fixedly sleeved at the lower end of the vertical rod, an environment monitoring sensor group is arranged at the bottom of each second mounting cylinder, and each environment monitoring sensor group comprises an air temperature and humidity sensor, a carbon dioxide sensor and a light intensity sensor;
moving mechanism includes fly leaf, slider, guide rail, mount, connecting rod, nut seat, lead screw, motor and bearing frame, the bottom of fly leaf and the top fixed connection of montant, the top of fly leaf and the bottom fixed connection of slider, the both sides of slider all with guide rail sliding connection, the bottom at the mount is fixed to the guide rail, the mount is fixed on warmhouse booth's inside top surface, the top of slider and the bottom fixed connection of connecting rod, the top and the nut seat fixed connection of connecting rod, nut seat movable sleeve establishes on the lead screw, the output shaft fixed connection of shaft coupling and motor is passed through to the one end of lead screw, the other end and the bearing frame of lead screw rotate to be connected, motor and bearing frame are all fixed on the mount.
Further, wire drive mechanism sets up directly over the lead screw, wire drive mechanism includes fixed plate, slide bar and a plurality of sliding sleeve, the slide bar is fixed between two fixed plates, the fixed plate is fixed on warmhouse booth's inside top surface, a plurality of the sliding sleeve is established on the slide bar, the equal fixed connection in bottom of electric wire and a plurality of sliding sleeve, the one end and the storage battery fixed connection of electric wire, the other end of electric wire passes the fly leaf and is connected with each electrical part on the theftproof monitoring subassembly, set up the through-hole that the power supply line passed on the fly leaf.
Furthermore, the solar panel is used for charging the storage battery pack, the storage battery pack is used for supplying power to the control cabinet, the control cabinet also supplies power through a household power supply, a dual power supply mode of families and solar energy is adopted, energy is saved, environment is protected, and the emergency power failure and other conditions can be well operated.
Further, the output of infrared type camera probe, the output of iris acquisition probe and the output of environmental monitoring sensor group all with single chip microcomputer controller's input electric connection, single chip microcomputer controller's output respectively with the input of LED screen and the input electric connection of motor, just single chip microcomputer controller respectively with big data module and memory both way junction.
Further, the single chip microcomputer controller is in wireless connection with the mobile phone APP and the PC end through the wireless communication module respectively, and the single chip microcomputer controller sends out the warning short message through the warning short message sending module through the wireless communication module.
Further, be provided with face identification unit, iris recognition unit, action recognition unit and canopy internal environment analysis unit in the single chip microcomputer controller, face identification unit is used for carrying out face identification to the image of shooing through infrared type camera probe, iris recognition unit is used for discerning the iris image of gathering through iris acquisition probe, action recognition unit carries out action analysis to the personage in the image of shooing through infrared type camera probe based on big data module, canopy internal environment analysis unit carries out the analysis to the environmental parameter of gathering through environment monitoring sensor group based on big data module.
Furthermore, an action behavior big data model unit, a greenhouse internal environment big data model unit and a model optimization and supplement unit are arranged in the big data module, the action behavior big data model unit collects ordinary action behavior habits and body posture data of planting personnel and forms a big data model unit after data integration to judge whether people in the image are the planting personnel, the greenhouse internal environment big data model unit collects local environment data in each greenhouse and forms a big data model unit after data integration to judge whether the environment in the greenhouse is good or not, and the model optimization and supplement unit continuously optimizes to form a model suitable for local planting environments such as soil and air.
The invention has the following beneficial effects:
1. according to the invention, the infrared camera probe, the iris acquisition probe and the big data module are arranged, so that the monitoring device has the anti-theft capability, and the anti-theft accuracy of the monitoring device is greatly improved by the anti-theft combination measure of combining the human face, the iris and the big data action.
2. According to the invention, by arranging the moving mechanism and the three-layer environment monitoring sensor group, the monitoring device can movably monitor the environment of each area in the greenhouse, the average data such as temperature, humidity and the like are calculated by adopting a spatial algorithm, the monitoring accuracy of the environment in the greenhouse is improved, the environment data in the greenhouse can be remotely monitored at any time through the mobile phone APP and PC terminals, the data full appearance in the greenhouse is displayed more clearly, then the environment in the greenhouse is adjusted by planting personnel through executing equipment such as a lighting lamp and ventilation equipment, so that the environmental indexes in all aspects of the greenhouse tend to an ideal level, and the sunflower has a good growing environment.
3. According to the solar monitoring device, the solar panel, the storage battery pack and the household power supply are arranged, the monitoring device adopts a household and solar dual power supply mode, the household power supply directly supplies power to the monitoring device, and the electric quantity generated by the solar panel through illumination is stored by the storage battery pack and used for the monitoring device under the sudden condition, so that the normal use of the monitoring device is ensured.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is an enlarged view of the anti-theft monitoring assembly and the moving mechanism of FIG. 1 in accordance with the present invention;
FIG. 3 is a side cross-sectional view of the present invention;
FIG. 4 is a functional block diagram of the present invention;
FIG. 5 is a schematic diagram of a single chip computer controller according to the present invention;
FIG. 6 is a schematic diagram of a big data module structure according to the present invention;
in the drawings, the components represented by the respective reference numerals are listed below:
1. an anti-theft monitoring component; 2. a moving mechanism; 3. a greenhouse; 4. a solar panel; 5. a battery pack; 6. a control cabinet; 7. a wire pulling mechanism; 8. a household power supply; 9. a mobile phone APP; 10. a PC terminal; 11. an electric wire; 101. a vertical rod; 102. a first mounting cylinder; 103. an infrared type camera probe; 104. an iris acquisition probe; 105. a second mounting cylinder; 106. an environmental monitoring sensor group; 201. a movable plate; 202. a slider; 203. a guide rail; 204. a fixed mount; 205. a connecting rod; 206. a nut seat; 207. a screw rod; 208. a motor; 209. a bearing seat; 601. an LED screen; 602. a single chip controller; 603. a big data module; 604. a memory; 605. a wireless communication module; 606. an alarm short message sending module; 701. a fixing plate; 702. a slide bar; 703. a sliding sleeve; 60201. a face recognition unit; 60202. an iris recognition unit; 60203. an action behavior recognition unit; 60204. a greenhouse internal environment analysis unit; 60301. an action behavior big data model unit; 60302. a big data model unit of the environment in the shed; 60303. and a model optimization supplementary unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, 3 and 4, the invention relates to an anti-theft monitoring device for sunflower planting based on big data processing, which comprises an anti-theft monitoring component 1, a moving mechanism 2, a solar panel 4, a storage battery 5 and a control cabinet 6, wherein the anti-theft monitoring component 1 is fixed at the bottom of the moving mechanism 2, the moving mechanism 2 is fixed on the top surface of the inside of a greenhouse 3, the top of the greenhouse 3 is respectively provided with the solar panel 4 and the storage battery 5, the storage battery 5 is connected with the anti-theft monitoring component 1 through an electric wire 11, the electric wire 11 is pulled through a wire pulling mechanism 7, the lower end of the side surface of the greenhouse 3 is provided with the control cabinet 6, the top of the control cabinet 6 is provided with an LED screen 601, and the inside of the control cabinet 6 is respectively provided with a single chip microcomputer controller 602, a big data module 603.
As shown in fig. 2, the antitheft monitoring assembly 1 includes a vertical rod 101, a first mounting cylinder 102 and a second mounting cylinder 105, the first mounting cylinder 102 is fixedly sleeved on the upper end of the vertical rod 101, four infrared camera probes 103 and four iris collecting probes 104 are uniformly arranged on the peripheral surface of the first mounting cylinder 102, three second mounting cylinders 105 which are equidistantly distributed are fixedly sleeved on the lower end of the vertical rod 101, and an environment monitoring sensor group 106 is arranged at the bottom of the second mounting cylinders 105.
As shown in fig. 2-3, the moving mechanism 2 includes a moving plate 201, a sliding block 202, a guide rail 203, a fixed mount 204, a connecting rod 205, a nut seat 206, a screw rod 207, a motor 208, and a bearing seat 209, the bottom of the moving plate 201 is fixedly connected with the top end of the vertical rod 101, the top of the moving plate 201 is fixedly connected with the bottom of the sliding block 202, both sides of the sliding block 202 are slidably connected with the guide rail 203, the guide rail 203 is fixed at the bottom of the fixed mount 204, the fixed mount 204 is fixed on the inner top surface of the greenhouse 3, the top of the sliding block 202 is fixedly connected with the bottom end of the connecting rod 205, the top end of the connecting rod 205 is fixedly connected with the nut seat 206, the nut seat 206 is movably sleeved on the screw rod 207, one end of the screw rod 207 is fixedly connected with an output shaft of the motor 208 through a coupling, the other end of the screw rod 207, the monitoring device can monitor the environment of each area in the greenhouse 3 movably, when in use, the motor 208 drives the screw rod 207 to rotate, the screw rod 207 drives the nut seat 206 to move, the nut seat 206 drives the connecting rod 205 to move, the connecting rod 205 drives the sliding block 202 to move along the guide rail 203, the sliding block 202 drives the movable plate 201 to move, the movable plate 201 drives the anti-theft monitoring assembly 1 to move, and therefore the anti-theft monitoring assembly 1 can monitor each area in the greenhouse 3.
As shown in fig. 3, the wire traction mechanism 7 is disposed right above the screw 207, the wire traction mechanism 7 includes a fixing plate 701, a sliding rod 702 and a plurality of sliding sleeves 703, the sliding rod 702 is fixed between the two fixing plates 701, the fixing plate 701 is fixed on the top surface of the inside of the greenhouse 3, the plurality of sliding sleeves 703 are slidably sleeved on the sliding rod 702, the electric wire 11 is fixedly connected with the bottoms of the plurality of sliding sleeves 703, and the wire traction mechanism 7 ensures that the electric wire 11 is not wound together during the moving process.
Wherein, as shown in fig. 4, the solar panel 4 is used for charging the storage battery pack 5, the storage battery pack 5 is used for supplying power to the control cabinet 6, and the control cabinet 6 is also supplied with power by the household power supply 8, the household power supply 8 directly supplies power to the monitoring device, the electric quantity generated by the solar panel 4 through illumination is stored by the storage battery pack 5 for the monitoring device to be used under sudden meeting condition to ensure normal use, the output end of the infrared camera probe 103, the output end of the iris collecting probe 104 and the output end of the environment monitoring sensor group 106 are electrically connected with the input end of the single chip microcomputer controller 602, the output end of the single chip microcomputer controller 602 is respectively electrically connected with the input end of the LED screen 601 and the input end of the motor 208, and the single chip microcomputer controller 602 is respectively connected with the big data single chip microcomputer module 603 and the memory 604 in two directions, singlechip controller 602 passes through wireless communication module 605 and respectively with cell-phone APP9 and PC end 10 wireless connection, and singlechip controller 602 sends out the warning SMS through warning SMS sending module 606 through wireless communication module 605, can be at any time remote monitoring big-arch shelter internal environment data through cell-phone APP9 and PC end 10, shows the data overall appearance in the warmhouse booth 3 more at a glance.
As shown in fig. 5, a face recognition unit 60201, an iris recognition unit 60202, an action behavior recognition unit 60203, and an in-shed environment analysis unit 60204 are provided in the one-chip microcomputer controller 602, the face recognition unit 60201 is configured to perform face recognition on an image captured by the infrared camera probe 103, the iris recognition unit 60202 is configured to recognize an iris image captured by the iris capture probe 104, the action behavior recognition unit 60203 is configured to perform action behavior analysis on a person in the image captured by the infrared camera probe 103 based on the big data module 603, and the in-shed environment analysis unit 60204 is configured to analyze an environment parameter captured by the environment monitoring sensor group 106 based on the big data module 603.
As shown in fig. 6, a motion behavior big data model unit 60301, a greenhouse internal environment big data model unit 60302 and a model optimization supplementing unit 60303 are provided in the big data module 603, the motion behavior big data model unit 60301 collects the motion behavior habit of the planting personnel at ordinary times and the limb posture data, and after data integration, a big data model unit is formed for judging whether the character in the image is the planting personnel, and the greenhouse internal environment big data model unit 60302 collects the local environment data in each greenhouse 3, and after data integration, a big data model unit is formed for judging the quality of the environment in the greenhouse 3.
The infrared camera probe 103, the iris acquisition probe 104 and the big data module 603 are arranged to enable the monitoring device to have anti-theft capability, the face and iris data of each planting person are input into the memory 604 in advance to be stored, when a stranger enters the greenhouse 3, the image and iris data of the stranger are acquired through the infrared camera probe 103 and the iris acquisition probe 104 and are transmitted to the single chip microcomputer controller 602, the face recognition unit 60201 and the iris recognition unit 60202 in the single chip microcomputer controller 602 start working and are compared with the face and iris data of the planting person in the memory 604, if the person is judged to be a non-planting person, the warning short message sending module 606 is controlled to send a warning short message to a mobile phone of the planting person for reminding, if the monitoring device is difficult to acquire the face and iris information of the stranger, that is, the stranger is intentionally shielded, at this time, the video information of the stranger is acquired by the infrared camera probe 103 and transmitted to the single chip microcomputer controller 602, the action and behavior recognition unit 60203 in the single chip microcomputer controller 602 extracts the limb action, posture, abnormal behavior and other information of the stranger in the video, the action and behavior big data model unit 60301 in the big data module 603 is called to acquire the limb action, posture and other information of the planting person, and whether the action and behavior of the person is the planting person is judged, so as to achieve the purpose of big data anti-theft, if the person is not a planting person, the alarm and short message sending module 606 is controlled to send an alarm and short message to the mobile phone of the planting person for reminding, the big data of the big data module 603 forms a big database by acquiring the usual limb action, posture and other information of each planting person, and the big data of the human face module 603 is obtained by the fact that the, The anti-theft combination measure combining the iris and the action improves the anti-theft accuracy of the monitoring device.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above are only preferred embodiments of the present invention, and the present invention is not limited thereto, and any modifications to the technical solutions described in the above embodiments, and equivalents of some technical features are included in the scope of the present invention.
Claims (7)
1. The utility model provides a sunflower is planted and is used anti-theft monitoring device based on big data processing, includes theftproof monitoring component (1), moving mechanism (2), solar panel (4), storage battery (5) and switch board (6), its characterized in that: the anti-theft monitoring assembly (1) is fixed at the bottom of the moving mechanism (2), the moving mechanism (2) is fixed on the top surface of the interior of a greenhouse (3), a solar panel (4) and a storage battery pack (5) are respectively arranged at the top of the greenhouse (3), the storage battery pack (5) is connected with the anti-theft monitoring assembly (1) through an electric wire (11), the electric wire (11) is pulled through a wire pulling mechanism (7), a control cabinet (6) is arranged at the lower end of the side surface of the greenhouse (3), an LED screen (601) is arranged at the top of the control cabinet (6), and a single chip microcomputer controller (602), a big data module (603), a memory (604), a wireless communication module (605) and a short message alarm sending module (606) are respectively arranged in the control cabinet (6);
the anti-theft monitoring assembly (1) comprises a vertical rod (101), a first mounting cylinder (102) and a second mounting cylinder (105), the upper end of the vertical rod (101) is fixedly sleeved with the first mounting cylinder (102), four infrared type camera probes (103) and four iris acquisition probes (104) are uniformly arranged on the peripheral surface of the first mounting cylinder (102), the lower end of the vertical rod (101) is fixedly sleeved with the three second mounting cylinders (105) which are distributed at equal intervals, and an environment monitoring sensor group (106) is arranged at the bottom of each second mounting cylinder (105);
the moving mechanism (2) comprises a moving plate (201), a sliding block (202), a guide rail (203), a fixed frame (204), a connecting rod (205), a nut seat (206), a screw rod (207), a motor (208) and a bearing seat (209), wherein the bottom of the moving plate (201) is fixedly connected with the top end of a vertical rod (101), the top of the moving plate (201) is fixedly connected with the bottom of the sliding block (202), two sides of the sliding block (202) are both in sliding connection with the guide rail (203), the guide rail (203) is fixed at the bottom of the fixed frame (204), the fixed frame (204) is fixed on the inner top surface of the greenhouse (3), the top of the sliding block (202) is fixedly connected with the bottom end of the connecting rod (205), the top end of the connecting rod (205) is fixedly connected with the nut seat (206), the nut seat (206) is movably sleeved on the screw rod (207), one end of the screw rod (207) is fixedly connected with an output shaft of, the other end of the screw rod (207) is rotationally connected with a bearing seat (209), and the motor (208) and the bearing seat (209) are fixed on the fixed frame (204).
2. The anti-theft monitoring device for sunflower planting based on big data processing according to claim 1, wherein the wire drawing mechanism (7) is arranged right above the screw rod (207), the wire drawing mechanism (7) comprises a fixing plate (701), a sliding rod (702) and a plurality of sliding sleeves (703), the sliding rod (702) is fixed between the two fixing plates (701), the fixing plate (701) is fixed on the inner top surface of the greenhouse (3), the plurality of sliding sleeves (703) are slidably sleeved on the sliding rod (702), and the electric wire (11) is fixedly connected with the bottoms of the plurality of sliding sleeves (703).
3. The anti-theft monitoring device for sunflower planting based on big data processing according to claim 1, characterized in that the solar panel (4) is used to charge the storage battery (5), the storage battery (5) is used to power the control cabinet (6), and the control cabinet (6) is also powered by the household power supply (8).
4. The anti-theft monitoring device for sunflower planting based on big data processing as claimed in claim 1, wherein the output end of the infrared camera probe (103), the output end of the iris acquisition probe (104) and the output end of the environment monitoring sensor group (106) are all electrically connected with the input end of the single chip microcomputer controller (602), the output end of the single chip microcomputer controller (602) is respectively electrically connected with the input end of the LED screen (601) and the input end of the motor (208), and the single chip microcomputer controller (602) is respectively connected with the big data module (603) and the memory (604) in two directions.
5. The anti-theft monitoring device for sunflower planting based on big data processing as claimed in claim 1, wherein the single chip microcomputer controller (602) is wirelessly connected with the mobile phone APP (9) and the PC terminal (10) through a wireless communication module (605), respectively, and the single chip microcomputer controller (602) sends out an alarm short message through the alarm short message sending module (606) through the wireless communication module (605).
6. The anti-theft monitoring device for sunflower planting based on big data processing according to claim 1, it is characterized in that a face recognition unit (60201), an iris recognition unit (60202), an action behavior recognition unit (60203) and an in-shed environment analysis unit (60204) are arranged in the single chip microcomputer controller (602), the face recognition unit (60201) is used for carrying out face recognition on the image shot by the infrared camera probe (103), the iris recognition unit (60202) is used for recognizing the iris image acquired by the iris acquisition probe (104), the motion behavior recognition unit (60203) analyzes the motion behavior of a person in an image captured by the infrared type imaging probe (103) based on the big data module (603), the in-shed environment analysis unit (60204) analyzes the environmental parameters acquired by the environment monitoring sensor group (106) based on the big data module (603).
7. The anti-theft monitoring device for sunflower planting based on big data processing as claimed in claim 1, wherein a motion behavior big data model unit (60301), a greenhouse internal environment big data model unit (60302) and a model optimization supplement unit (60303) are arranged in the big data module (603), the motion behavior big data model unit (60301) collects motion behavior habits and limb posture data of planting personnel at ordinary times, and forms a big data model unit after data integration for judging whether a person in an image is the planting personnel, and the greenhouse internal environment big data model unit (60302) collects local environment data in each greenhouse (3) and forms a big data model unit after data integration for judging whether the environment in the greenhouse (3) is good or not.
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Application publication date: 20210129 |