CN105353743A - Insecticidal lamp monitoring method based on Internet of things - Google Patents
Insecticidal lamp monitoring method based on Internet of things Download PDFInfo
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- CN105353743A CN105353743A CN201510811075.2A CN201510811075A CN105353743A CN 105353743 A CN105353743 A CN 105353743A CN 201510811075 A CN201510811075 A CN 201510811075A CN 105353743 A CN105353743 A CN 105353743A
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- running parameter
- trapping lamp
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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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
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention provides an insecticidal lamp monitoring method based on the Internet of things. The insecticidal lamp monitoring method comprises steps that, work parameters of insecticidal lamps are acquired; whether a disturbance signal is contained in the work parameters is determined; when the disturbance signal is not contained in the work parameters, the work parameters are transmitted to a central control computer; whether the insecticidal lamps corresponding to the received work parameters are in fault is detected, when the insecticidal lamps corresponding to the received work parameters are in fault, the work states of the insecticidal lamps are adjusted according to a preset model; work parameters before and after adjustment are displayed in a graph mode. Through the insecticidal lamp monitoring method, a problem of error alarming during monitoring caused as the disturbance signal is contained in shake-up signals in a traditional monitoring mode is solved, the monitoring accuracy rate is improved, moreover, compared with the preset work parameters, whether the insecticidal lamps are in fault can be determined, adaptive adjustment can be realized, and daily maintenance is convenient for a user.
Description
Technical field
The present invention relates to pest control techniques field, particularly relate to a kind of based on Internet of Things trapping lamp method for supervising.
Background technology
Along with living standards of the people improve constantly, after solving problem of food and clothing, people start to pay close attention to how to eat to obtain safety problem.Nowadays residues of pesticides have become the matter of utmost importance of agricultural product, food security, realize agricultural product, Safety of Food Quality, first chemical pesticide to be used no or little in agricultural production link, use no or little the biological protection technology of chemical pesticide, be included in the integrated control technique that cultural control, biological control, physical control etc. combine; Wherein, lamplight insect lure is the physical control method that cost is minimum, recruitment is minimum, effect is best, spinoff is minimum.
Solar insect-killing light is that the photo-thermal utilizing solar panel to be absorbed daytime stores in electric energy mode, is discharged to trapping lamp for its work at night.Desinsection light fixture utilizes 365 ± 50nm length ultraviolet light insect to be had to the characteristic principle swashing the standby stronger light that becomes, the ripple that becomes, the look that becomes, taxis, determine the induction wavelength to insect, development special light source, utilize the low temperature plasma that electric discharge produces, the light hormesis that becomes that ultraviolet radiation produces insect, lures insect to jump on the light source of lamp, light source configures high pressure killing net outward, kill off the insect pests, make insect fall to special insect inoculation bag, reach the object killing insect.
But existing solar insect-killing light is distributed in outdoor environment widely, no worker monitor is patrolled, and is easily stolen by people, traces it to its cause and be: user can not grasp the duty of solar insect-killing light in real time according to outdoor informational, judge whether it normally works; Meanwhile, there is disturbing signal in the working signal transmitted by inductor, causes monitor state often to occur wrong report.
Summary of the invention
The shortcoming of prior art in view of the above, the object of the present invention is to provide a kind of based on Internet of Things trapping lamp method for supervising, accurately and in time trapping lamp duty cannot be understood for solving user in prior art, cause monitor state often to occur wrong report, accurately can not understand the duty of each trapping lamp.
For achieving the above object and other relevant objects, the invention provides a kind of based on Internet of Things trapping lamp method for supervising, comprising:
Obtain the running parameter of described trapping lamp;
Judge whether described running parameter comprises disturbing signal;
When described running parameter does not comprise disturbing signal, then this running parameter is transferred to central control computer;
Detect the whether fault of the trapping lamp corresponding to running parameter received, when trapping lamp fault corresponding to described running parameter, adjust the duty of described trapping lamp according to preset model;
The forward and backward running parameter of adjustment is shown in the mode of chart.
Preferably, the step of the running parameter of the described trapping lamp of described acquisition, is specially:
Obtained the running parameter of described trapping lamp by inductor, wherein, described inductor comprises infrared sensor, current sensor and voltage sensor.
Preferably, describedly judge whether described running parameter comprises disturbing signal, is specially:
Running parameter according to receiving adds up according to its category classification, judges whether the accumulated value corresponding to every class running parameter increases in tendency at the appointed time; If described accumulated value increases in tendency at the appointed time, then the running parameter corresponding to this accumulated value does not comprise disturbing signal; If described accumulated value does not increase in tendency at the appointed time, then the running parameter corresponding to this accumulated value comprises disturbing signal;
Or,
Judge whether every class running parameter occurs at the appointed time continuously; If described running parameter occurs at the appointed time continuously, then this running parameter does not comprise disturbing signal; If described running parameter occurs at the appointed time continuously, then this running parameter comprises disturbing signal.
Preferably, described when described running parameter does not comprise disturbing signal, then this running parameter is transferred to the step of central control computer, be specially:
When described running parameter does not comprise disturbing signal, by communication module, this running parameter is transferred to central control computer.
Preferably, also comprise: when the infrared image receiving described infrared sensor has been shown as people, control camera head and take pictures, generate the looks photo recording this people, send this photo to central control computer.
Preferably, also comprise: when receiving this photo, and the running parameter received compares with default running parameter, when the trapping lamp shown corresponding to this running parameter is fault, display alarm signal.
Preferably, describedly detect the whether fault of the trapping lamp corresponding to running parameter received, when trapping lamp fault corresponding to described running parameter, adjust the step of the duty of described trapping lamp according to preset model, be specially:
Detect the described running parameter received, when described running parameter changes, adjust described running parameter according to failure message sample pattern; Screen its Adjusted Option and corresponding adjustment result, select optimum Adjusted Option to be stored in failure message model.
Preferably, the described mode with chart shows the step of the forward and backward running parameter of adjustment, is specially:
Described running parameter is different according to the Position Number of described trapping lamp, according to the running parameter of Position Number with each different trapping lamp of graph mode correspondence display before adjustment, after adjustment.
As mentioned above, of the present invention based on Internet of Things trapping lamp method for supervising, there is following beneficial effect:
By obtaining each running parameter of trapping lamp, by each running parameter digital-to-analog conversion of reception after treatment, wherein, also comprise and judge that whether each running parameter described is normal, when abnormal, then produce corresponding alerting signal and be shown to central control computer; When change appears in certain class running parameter, according to expert system in central control computer, it is adjusted accordingly, not only avoid the possibility of traditional monitor mode wrong report, improve the accuracy rate of monitoring, also reach the function of self-recision.
Meanwhile, after each running parameter process, be sent to central control computer display by communication module, be convenient to each trapping lamp of monitoring promptly and accurately, according to the duty of each trapping lamp, can judge whether trapping lamp normally works.
Accompanying drawing explanation
Fig. 1 is shown as one in the embodiment of the present invention based on Internet of Things trapping lamp method for supervising process flow diagram;
Fig. 2 is shown as a kind of the first embodiment based on Internet of Things trapping lamp method for supervising step S102 in the embodiment of the present invention;
Fig. 3 is shown as a kind of the second embodiment based on Internet of Things trapping lamp method for supervising step S102 in the embodiment of the present invention.
Embodiment
By particular specific embodiment, embodiments of the present invention are described below, person skilled in the art scholar the content disclosed by this instructions can understand other advantages of the present invention and effect easily.
Refer to Fig. 1 to Fig. 3.Notice, structure, ratio, size etc. that this instructions institute accompanying drawings illustrates, content all only in order to coordinate instructions to disclose, understand for person skilled in the art scholar and read, and be not used to limit the enforceable qualifications of the present invention, therefore the not technical essential meaning of tool, the adjustment of the modification of any structure, the change of proportionate relationship or size, do not affecting under effect that the present invention can produce and the object that can reach, all should drop in scope that disclosed technology contents can contain.Simultaneously, quote in this instructions as " on ", D score, "left", "right", " centre " and " one " etc. term, also only for ease of understanding of describing, and be not used to limit the enforceable scope of the present invention, the change of its relativeness or adjustment, under changing technology contents without essence, when being also considered as the enforceable category of the present invention.
As shown in Figure 1, the invention provides a kind of based on Internet of Things trapping lamp method for supervising, comprising:
Step S101, obtains the running parameter of described trapping lamp;
Wherein, the running parameter of described trapping lamp is obtained by inductor, wherein, described inductor comprises infrared sensor, current sensor and voltage sensor, the operating voltage that infrared sensor gathers infrared image, current sensor gathers trapping lamp working current, voltage sensor gathers desinsection.
Step S102, judges whether described running parameter comprises disturbing signal;
In the present embodiment, the entity performing this step S102 is controller, described controller be in single-chip microcomputer, programmable logic controller (PLC), digital signal processor and arm processor any one.
Step S103, when described running parameter does not comprise disturbing signal, then transfers to central control computer by this running parameter;
Wherein, when described running parameter does not comprise disturbing signal, by communication module, this running parameter is transferred to central control computer.
In the present embodiment, described communication module is wireless communication module, this radio communication mold is one or more of GPS module, GPRS module, gsm module and WIFI module, facilitate trapping lamp in the wild or outdoor study time, running parameter is sent to central control computer whenever and wherever possible.
Step S104, detects the whether fault of the trapping lamp corresponding to running parameter received, and when trapping lamp fault corresponding to described running parameter, adjusts the duty of described trapping lamp according to preset model;
Wherein, detect the described running parameter received, when described running parameter changes, adjust described running parameter according to failure message sample pattern; Screen its Adjusted Option and corresponding adjustment result, select optimum Adjusted Option to be stored in failure message model.
Step S105, shows the forward and backward running parameter of adjustment in the mode of chart.
Described running parameter is different according to the Position Number of described trapping lamp, according to the running parameter of Position Number with each different trapping lamp of graph mode correspondence display before adjustment, after adjustment.
When the infrared image receiving described infrared sensor has been shown as people, controls camera head and taken pictures, generated the looks photo recording this people, send this photo to central control computer.
When receiving this photo, and the running parameter received compares with default running parameter, when the trapping lamp shown corresponding to this running parameter is fault, and display alarm signal.
In the present embodiment, not only solving traditional monitor mode because of trigger signal comprises disturbing signal, monitor state is caused often to occur wrong report, improve the accuracy rate of monitoring, simultaneously, when user is not on-site, also can adjust and monitor the duty of trapping lamp, be convenient to the daily running and the running scheduling that arrange oil field.
Embodiment 1
As shown in Figure 2, be a kind of the first embodiment based on Internet of Things trapping lamp method for supervising step S102 in the embodiment of the present invention; Details are as follows:
Step S201, the running parameter according to receiving adds up according to its category classification, judges whether the accumulated value corresponding to every class running parameter increases in tendency at the appointed time;
Step S202, if described accumulated value increases in tendency at the appointed time, then the running parameter corresponding to this accumulated value does not comprise disturbing signal;
Step S203, if described accumulated value does not increase in tendency at the appointed time, then the running parameter corresponding to this accumulated value comprises disturbing signal;
Embodiment 2
As shown in Figure 3, be a kind of the second embodiment based on Internet of Things trapping lamp method for supervising step S102 in the embodiment of the present invention; Details are as follows:
Step S301, judges whether every class running parameter occurs at the appointed time continuously;
Step S302, if described running parameter occurs at the appointed time continuously, then this running parameter does not comprise disturbing signal;
Step S303, if described running parameter occurs at the appointed time continuously, then this running parameter comprises disturbing signal.
In the present embodiment, the running parameter of each sensor collection in described inductor is transferred to controller, transforms through A/D, carries out analysis judge at controller, and whether judge that project is is disturbing signal.The collection of present monitoring product to information uses the warning of pulse trigger type, namely when monitoring target produces trigger pip, is sent to central control computer with high level or coded message; But in fact the warning message 80% of pulse trigger type is all because various disturbance (such as: the accidental change of components and parts unstable properties, spread of voltage or monitoring parameter) causes, and is not real warning or information.This simple judgement can produce a large amount of false judgment and wrong report, causes the instability of intelligent monitoring product function.
Controller, in running parameter acquisition phase, can carry out the signals collecting that continues and is not only flutter to catch triggering, carries out accumulation algorithm after collection to each running parameter, if disturbance, after the cumulative regular hour, there will be positive and negative values and to offset or accumulated value is zero; Again or, when there is the following period of time before or after pulse signal, no longer occurring, accidental disturbance can be considered as, and the signal of really.Only there is certain hour continuously, or increasing to the Trend value in a direction, just can be considered real signal, for reporting to the police.
Embodiment 3
Also comprise mobile terminal, corresponding inquiry prison is sent to central control computer by mobile terminal, the mobile terminal of corresponding described trapping lamp duty is called according to the query statement received, wherein, described mobile terminal be in mobile phone, panel computer, palm PC, MP4 and MP5 any one or multiple.In the present embodiment, log in corresponding APP program by mobile terminal, on mobile terminals the display result of inquiry or monitoring central control computer.
When user needs the duty understanding each trapping lamp, only need be sitting in Control Room passes through central control computer, the corresponding chart generated according to its running parameter of each trapping lamp can be inquired, or APP program and the central control computer of dependence mobile terminal are interconnected, realize sharing of Query Result.
Wherein, described central control computer comprises Geographic Information System, the running parameter being applicable to receive is classified according to the geographical location information of described trapping lamp, shows the different trapping lamp running parameter of each geographical location information according to classification results with graph mode correspondence.
In the present embodiment, moral map is set high in described Geographic Information System, this trapping lamp geographical location information is obtained by high moral map, distinguish different trapping lamps according to geographical location information classification, under this geographical location information basis, graphically show running parameters all corresponding to this trapping lamp.
Described central control computer comprises expert system, is applicable to, when detecting that described running parameter changes, adjust described running parameter according to failure message sample pattern.
In sum, by obtaining each running parameter of trapping lamp, by each running parameter digital-to-analog conversion of reception after treatment, wherein, also comprise and judge that whether each running parameter described is normal, when abnormal, then produce corresponding alerting signal and be shown to central control computer; When change appears in certain class running parameter, according to expert system in central control computer, it is adjusted accordingly, not only avoid the possibility of traditional monitor mode wrong report, improve the accuracy rate of monitoring, also reach the function of self-recision.
Meanwhile, after each running parameter process, be sent to central control computer display by communication module, be convenient to each trapping lamp of monitoring promptly and accurately, according to the duty of each trapping lamp, can judge whether trapping lamp normally works.So the present invention effectively overcomes various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person skilled in the art scholar all without prejudice under spirit of the present invention and category, can modify above-described embodiment or changes.Therefore, such as have in art usually know the knowledgeable do not depart from complete under disclosed spirit and technological thought all equivalence modify or change, must be contained by claim of the present invention.
Claims (8)
1. based on an Internet of Things trapping lamp method for supervising, it is characterized in that, be applicable to the duty monitoring described trapping lamp, comprise:
Obtain the running parameter of described trapping lamp;
Judge whether described running parameter comprises disturbing signal;
When described running parameter does not comprise disturbing signal, then this running parameter is transferred to central control computer;
Detect the whether fault of the trapping lamp corresponding to running parameter received, when trapping lamp fault corresponding to described running parameter, adjust the duty of described trapping lamp according to preset model;
The forward and backward running parameter of adjustment is shown in the mode of chart.
2. according to claim 1ly it is characterized in that based on Internet of Things trapping lamp method for supervising, the step of the running parameter of the described trapping lamp of described acquisition, is specially:
Obtained the running parameter of described trapping lamp by inductor, wherein, described inductor comprises infrared sensor, current sensor and voltage sensor.
3. according to claim 2ly to it is characterized in that based on Internet of Things trapping lamp method for supervising, describedly judge whether described running parameter comprises disturbing signal, is specially:
Running parameter according to receiving adds up according to its category classification, judges whether the accumulated value corresponding to every class running parameter increases in tendency at the appointed time; If described accumulated value increases in tendency at the appointed time, then the running parameter corresponding to this accumulated value does not comprise disturbing signal; If described accumulated value does not increase in tendency at the appointed time, then the running parameter corresponding to this accumulated value comprises disturbing signal;
Or,
Judge whether every class running parameter occurs at the appointed time continuously; If described running parameter occurs at the appointed time continuously, then this running parameter does not comprise disturbing signal; If described running parameter occurs at the appointed time continuously, then this running parameter comprises disturbing signal.
4. according to claim 3ly to it is characterized in that based on Internet of Things trapping lamp method for supervising, described when described running parameter does not comprise disturbing signal, then this running parameter is transferred to the step of central control computer, be specially:
When described running parameter does not comprise disturbing signal, by communication module, this running parameter is transferred to central control computer.
5. according to claim 4 based on Internet of Things trapping lamp method for supervising, it is characterized in that, also comprise: when the infrared image receiving described infrared sensor has been shown as people, control camera head and take pictures, generate the looks photo recording this people, send this photo to central control computer.
6. according to claim 5 based on Internet of Things trapping lamp method for supervising, it is characterized in that, also comprise: when receiving this photo, and the running parameter received compares with default running parameter, when the trapping lamp shown corresponding to this running parameter is fault, display alarm signal.
7. according to claim 1 based on Internet of Things trapping lamp method for supervising, it is characterized in that, describedly detect the whether fault of the trapping lamp corresponding to running parameter received, when trapping lamp fault corresponding to described running parameter, adjust the step of the duty of described trapping lamp according to preset model, be specially:
Detect the described running parameter received, when described running parameter changes, adjust described running parameter according to failure message sample pattern; Screen its Adjusted Option and corresponding adjustment result, select optimum Adjusted Option to be stored in failure message model.
8. according to claim 1ly it is characterized in that based on Internet of Things trapping lamp method for supervising, the described mode with chart shows the step of the forward and backward running parameter of adjustment, is specially:
Described running parameter is different according to the Position Number of described trapping lamp, according to the running parameter of Position Number with each different trapping lamp of graph mode correspondence display before adjustment, after adjustment.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510811075.2A CN105353743A (en) | 2015-11-23 | 2015-11-23 | Insecticidal lamp monitoring method based on Internet of things |
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| CN201510811075.2A CN105353743A (en) | 2015-11-23 | 2015-11-23 | Insecticidal lamp monitoring method based on Internet of things |
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Cited By (2)
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| CN108462855A (en) * | 2017-12-08 | 2018-08-28 | 四川瑞进特科技有限公司 | A kind of trapping lamp long-distance video monitoring system that can observe desinsection situation in real time |
| CN116155763A (en) * | 2022-12-23 | 2023-05-23 | 比昂精准数字科技(成都)有限公司 | Priori knowledge-based Internet of things fault detection method for solar insecticidal lamp |
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Application publication date: 20160224 |