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CN109548635A - A kind of remote supervisory and control(ling) equipment that liquid manure integral type is irrigated - Google Patents

A kind of remote supervisory and control(ling) equipment that liquid manure integral type is irrigated Download PDF

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Publication number
CN109548635A
CN109548635A CN201910037217.2A CN201910037217A CN109548635A CN 109548635 A CN109548635 A CN 109548635A CN 201910037217 A CN201910037217 A CN 201910037217A CN 109548635 A CN109548635 A CN 109548635A
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China
Prior art keywords
node
control
cluster
triode
data
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CN201910037217.2A
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Inventor
孙锋申
魏燕
马伟顺
陈锋
李超
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Laiwu Vocational and Technical College
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Laiwu Vocational and Technical College
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Priority to CN201910037217.2A priority Critical patent/CN109548635A/en
Publication of CN109548635A publication Critical patent/CN109548635A/en
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    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00Watering gardens, fields, sports grounds or the like
    • A01G25/16Control of watering
    • A01G25/167Control by humidity of the soil itself or of devices simulating soil or of the atmosphere; Soil humidity sensors

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  • Life Sciences & Earth Sciences (AREA)
  • Soil Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Water Supply & Treatment (AREA)
  • Environmental Sciences (AREA)
  • Selective Calling Equipment (AREA)

Abstract

本发明公开了一种水肥一体式灌溉的远程监控设备,包括PLC控制器、传感器控制器和无线数传终端,所述PLC控制器的控制端通电磁阀连接有水泵,所述PLC控制器的信号端通过RS485与无线数传终端相连接,所述PLC控制器的内部还设置有控制电路,所述控制电路的控制端与传感器控制器相连接,所述传感器控制器的信号端连接有数据融合模块,所述传感器控制器的控制端还连接有传感器开关控制电路,整个设备采用簇内构造数据融合树和簇间基于移动代理模型的结合方式,减少网络拥塞,均衡节点能耗,提高网络的生命周期,不仅能提高状态监控的效率,而且能对监控设备的安全状态做出准确的判断,降低节点耗能,延长网络生命周期,保护数据的安全性。

The invention discloses a remote monitoring device for water and fertilizer integrated irrigation, comprising a PLC controller, a sensor controller and a wireless data transmission terminal. The control end of the PLC controller is connected with a water pump through a solenoid valve, and the PLC controller The signal terminal is connected with the wireless data transmission terminal through RS485, the PLC controller is also provided with a control circuit, the control terminal of the control circuit is connected with the sensor controller, and the signal terminal of the sensor controller is connected with data The fusion module, the control end of the sensor controller is also connected with a sensor switch control circuit, and the whole device adopts the combination of constructing a data fusion tree within a cluster and a mobile agent model between clusters to reduce network congestion, balance node energy consumption, and improve network. It can not only improve the efficiency of status monitoring, but also make accurate judgments on the security status of monitoring equipment, reduce node energy consumption, prolong network life cycle, and protect data security.

Description

A kind of remote supervisory and control(ling) equipment that liquid manure integral type is irrigated
Technical field
The present embodiments relate to water and fertilizer irrigation monitoring technology fields, and in particular to a kind of liquid manure integral type is irrigated long-range Monitoring device.
Background technique
Automation, intelligentized water-saving irrigation method have become the trend of whole world irrigation technique development.Currently, advanced Water Saving Irrigation System, from the abundant irrigation method of traditional agriculture to non-fully developed.Forecast with water monitoring, using advanced biography Sensor monitors soil moisture content and environmental information and upgrowth situation, realizes the dynamic management of automation.And really to realize that water provides The efficient utilization in source, it should unified to consider water resources development, transmission & distribution water, irrigation technique and rainfall, evaporation, soil moisture content and crops Water regulation of fertilizer requirement etc. is needed, accomplishes that a variety of water source joints are called, realizes automatic water-supply on demand, on schedule, according to quantity.
But the remote supervisory and control(ling) equipment and method of existing liquid manure integral type irrigation have the following deficiencies:
(1) currently, agricultural environment monitoring development gradually moves towards networking, intelligence, agricultural production is for remotely supervising Control technical application is continuously increased.But the multiplicity of the object form as involved in agricultural production process, environmental element is complex, more Variation, while the often more remote dispersion of Agricultural Monitoring scene, ambient enviroment is severe, and the building of monitoring system is caused very Big obstruction, especially problem is in the majority in terms of telecommunication, such as it is monitored using wired by the way of face be routed it is too long The problems such as, there are still the bottlenecks of " last one kilometer " connection in remote information acquisition and communication process;
(2) although currently, the consuming energy of sensor can be saved in monitoring device, network transmission may be brought The disadvantages of raising of delay, the reduction of the accuracy of information and system robustness reduce.Simultaneously because sensor network itself is deposited Open characteristic distributions and wireless broadcast communication in terms of security hidden trouble, how to guarantee system operation secret Property, data acquisition reliability and data transmission safety, be all problem to be solved.
Summary of the invention
For this purpose, the embodiment of the present invention provides a kind of remote supervisory and control(ling) equipment that liquid manure integral type is irrigated, to solve the prior art In due to system is run caused by monitoring environment is complicated and sensing network data redudancy is big confidentiality, data acquisition Reliability and data transmission safety the problems such as.
To achieve the goals above, the embodiment of the present invention provides the following technical solutions:
A kind of remote supervisory and control(ling) equipment that liquid manure integral type is irrigated, including PLC controller, sensor controller and wireless data sending Terminal, which is characterized in that the control terminal three-way electromagnetic valve of the PLC controller is connected with water pump, the interaction end of the PLC controller Mouth is connected with scene collection control computer by OPC serial ports, and the signal end of the PLC controller is whole with wireless data sending by RS485 End is connected, and the inside of the PLC controller is additionally provided with control circuit, and the control terminal and sensor of the control circuit control Device is connected, and the signal end of the sensor controller is connected with data fusion module, the control terminal of the sensor controller It is also connected with sensing switch control circuit.
The embodiment of the present invention is further characterized in that the control circuit includes fixed relay and triggers triode, described The output end of fixed relay is connected by control route with the collector for triggering triode, the transmitting of the triggering triode Pole is directly grounded, and the base stage of the triggering triode is connected in series with first resistor and second resistance, the first resistor respectively Be connected with control signal wire between second resistance, the collector of the triggering triode be also respectively connected the first diode and Second diode is set as being connected in parallel between first diode and the second diode, the conducting of first diode End is also connected in series with 3rd resistor, and the control terminal of the fixed relay is connected with row's needle.
The embodiment of the present invention is further characterized in that the sensing switch control circuit includes the first triode and the two or three The base stage of pole pipe, first triode is connected by the 4th resistance with the control terminal of sensor controller, and the described 1st The collector of pole pipe is connected separately with the 5th resistance and the 6th resistance, and the other end of the 5th resistance is connected with power supply, described The other end of 6th resistance is connected with the second transistor base, and the collector of second triode is controlled to a power supply, institute The emitter for stating the second triode is connected with PLC controller.
The embodiment of the present invention is further characterized in that the data fusion module is calculated using the data fusion based on cluster-based techniques Method calculates sensor node, analysis node energy and threshold values size.
The embodiment of the present invention is further characterized in that, the data anastomosing algorithm the following steps are included:
S1, Q different particles of initialization, each particle indicates a kind of possible sub-clustering mode, while initializing maximum Cycle-index Max;
S2 calculates each particle p (p=1,2,3 ... Q), finds out particle optimal value;
S3 determines the individual optimal value of each particle and the optimal value of population in population;
S4 in candidate cluster head, is searched apart from shortest position according to the various data informations of population optimal value more new sensor It sets, while particle location information is modified, executes this step again and find optimal value M.
The embodiment of the present invention is further characterized in that sub-clustering mode uses improved DCHS algorithm in the step S1, false If in sensing network G including N number of node, pre-defined to be divided into K cluster, the number between one (0,1) is randomly generated in each node, If the value of certain node selection is less than threshold values T (n), which is candidate cluster head, and cluster head generates in candidate cluster head, then:
Wherein p sensing node is selected as the probability of candidate cluster head;R is the number recycled at present;G isIt is never selected as waiting in wheel Select the node set of cluster head, En_currentAnd En_maxRespectively indicate the present energy and primary power of the node, rsIndicate continuous It is not selected as the number of candidate cluster head.
The embodiment of the present invention is further characterized in that optimal value is calculated using PSO algorithm in the step S2, it is assumed that in population Different particles indicates different cluster structured, and objective function result indicates the cluster structured performance, initializes m grain first Son is a population, finds out optimal solution, guarantees the minimum of target function value, objective function is as follows:
Cost=β f1+(1-β)f2
Wherein, f1Indicate node compactness, d (ni, CHP, K) indicate node and cluster head relative distance, | CP, K| it is the cluster The quantity of interior nodes, f2Indicate that the energy height of cluster head, β indicate the weight coefficient between the different factors.
The embodiment of the present invention is further characterized in that, is counted again to cluster interior nodes in the step S3 using DFACT algorithm According to fusion, if the in-degree degree that goes out of node is Deg, while remembering that Loop is the maximum value of data fusion cycle-index, and merge knot Fruit cluster head is that each sensing node distributes a time delay MergeD, distributed within the MergeD time connection time delay ConnD with One fusion time delay AggD:
Wherein, the height for the Data Fusion Tree that algorithm generates in MAX_DEPTH cluster.
The embodiment of the present invention is further characterized in that the DFACT algorithm in the S3 uses sum function for data fusion letter It counts, then data fusion function y (t) are as follows:
Wherein, di(t) data that sensing node i is collected into t moment in cluster are indicated
The embodiment of the present invention has the advantages that
(1) remote supervisory and control(ling) equipment and method that liquid manure integral type of the invention is irrigated can reduce workload, the section of measurement About cost, improve working efficiency, the agriculture scene of effective solution obtain on the spot the limitations of data with when ductility, can be accurate Environment around acquisition crops in real time obtains the real time status, environmental data and control scene at machine work scene in time Equipment, the Intellectualized monitoring under reaching unattended;
(2) remote supervisory and control(ling) equipment and method that liquid manure integral type of the invention is irrigated, using constructing Data Fusion Tree in cluster Combination based on mobile agent model between cluster, reduces network congestion, and balanced node energy consumption improves the Life Cycle of network Phase, and by the delay of construction Data Fusion Tree reduction data communication, the efficiency of condition monitoring can not only be improved, and can be right The safe condition of monitoring device makes accurate judgement, reduces node energy consumption, extends network lifecycle, protect the safety of data Property.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of embodiments of the present invention or technical solution in the prior art Formula or attached drawing needed to be used in the description of the prior art are briefly described.It should be evident that the accompanying drawings in the following description is only It is merely exemplary, it for those of ordinary skill in the art, without creative efforts, can also basis The attached drawing of offer, which is extended, obtains other implementation attached drawings.
Structure depicted in this specification, ratio, size etc., only to cooperate the revealed content of specification, for Those skilled in the art understands and reads, and is not intended to limit the invention enforceable qualifications, therefore does not have technical Essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the function of the invention that can be generated Under effect and the purpose that can reach, should all still it fall in the range of disclosed technology contents obtain and can cover.
Fig. 1 is the integral module schematic diagram that the embodiment of the present invention 1 provides;
Fig. 2 is the electric operation control circuit figure that the embodiment of the present invention 2 provides;
Fig. 3 is the sensing switch electric operation control circuit figure that the embodiment of the present invention 3 provides.
In figure:
1-PLC controller;2- solenoid valve;3- water pump;The scene 4- collection control computer;5- Wireless Data Transmission Terminal;6- control electricity Road;7- sensor controller;8- sensing switch control circuit;9- data fusion module.
Specific embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation Content disclosed by book is understood other advantages and efficacy of the present invention easily, it is clear that described embodiment is the present invention one Section Example, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not doing Every other embodiment obtained under the premise of creative work out, shall fall within the protection scope of the present invention.
As shown in Figure 1, the present invention provides the remote supervisory and control(ling) equipment that a kind of liquid manure integral type is irrigated, including PLC controller 1, sensor controller 7 and Wireless Data Transmission Terminal 5, the control terminal three-way electromagnetic valve 2 of the PLC controller 1 are connected with water pump 3, institute The interaction port for stating PLC controller 1 is connected with scene collection control computer 4, the signal end of the PLC controller 1 by OPC serial ports It is connected by RS485 with Wireless Data Transmission Terminal 5, the inside of the PLC controller 1 is additionally provided with control circuit 6, the control The control terminal of circuit 6 is connected with sensor controller 7, and the signal end of the sensor controller 7 is connected with data fusion mould The control terminal of block 9, the sensor controller 7 is also connected with sensing switch control circuit 8.
In the present embodiment, whole equipment is designed for the control of farmland large area planting area crop irrigation, will Computer networking technology, automatic control technology, artificial intelligence technology, database technology are combined, and number is functionally realized Show according to acquisition, network transmission, data with storage, Data Analysis Services, irrigation decision and man-machine interface etc., in wireless sense network On the basis of network, system is made of sensing layer, network layer, application layer.
In the present embodiment, according to the low-power consumption of wireless sensing node, low cost and the flexible design principle of operability, application Miniature GPRS intelligence sensing node combination soil humidity sensor obtains agricultural land soil humidity information, provides section for Precision Irrigation It learns, comprehensive foundation, the soil temperature-moisture sensor in addition to obtaining agricultural land soil soil moisture content, the equipment of sensing layer further includes sensor Controller 7, sensor controller 7 can issue action command to actuator, complete to irrigate.
In the present embodiment, sensor is controlled using sensor controller 7 and acquires soil information, be not only transmitted to only scene collection control Computer 4 can also pass to remote control center by wide area network, breach territory restriction, enhance the flexibility of irrigation, agriculture Family can grasp farmland at home at any time needs regimen condition, makes irrigation guidance.
In the present embodiment, PLC controller 1 uses S7-200 series small PLCCPU226 controller, has powerful operation Function;With input filter and pulse capture function, using the centrifugal miniature fresh water pump 3 of ZDK type.
In the present embodiment, sensor controller 7 uses regular hexagon deployment way placement sensor, realizes sensing network Topological structure can adjust the concentration of sensor as needed, and the utilization rate of the sensing node in network's coverage area is higher, The power loss of single sensing node is smaller, extends network lifecycle.
As shown in Fig. 2, the control circuit 6 includes fixed relay M and triggering triode Q1, the fixed relay M Output end by control route with trigger triode Q1 collector be connected, it is described trigger triode Q1 emitter it is direct It is grounded GND, the base stage of the triggering triode Q1 is connected in series with first resistor R1 and second resistance R2, first electricity respectively Control signal wire PL1 is connected between resistance R1 and second resistance R2, the collector of the triggering triode Q1 is also respectively connected First diode D1 and the second diode D2, is set as being connected in parallel between the first diode D1 and the second diode D2, The conduction terminal of the first diode D1 is also connected in series with 3rd resistor R3, and the control terminal of the fixed relay M is connected with Arrange needle JP1.
In the present embodiment, the triggering triode Q1 inside control circuit 6 uses the positive-negative-positive of low level triggering, controls in PLC Relay can just move when device 1 exports low level
In the present embodiment, anti-parallel diodes are formed between the first diode D1 and the second diode D2, are acted on: three One diode of both ends reverse parallel connection of pole pipe, can be effectively prevented and switch to release conditions by being attracted in relay, and coil generates Counter electromotive force so that the electric current in coil is mutated, without continuous current circuit protect circuit, be easy to cause punch-through, in turn Cause the serious consequence that device is burnt.
In the present embodiment, the fixed relay M of control circuit 6 drives realization process: defeated when 1 electrification reset of PLC controller Pin is placed in high level out, and positive-negative-positive triggering triode Q1 is in reverse blocking state, relay M attonity, as control terminal P1.X When pin output is low level, triggering triode Q1 switchs on state by off state, relay SL-SRD coil obtain it is electric, after Electric appliance acts, while the indicator light in parallel with relay lights, and load equipment is turned on, when control control terminal P1.X pin When output gets higher level, triggering triode Q1 is changed by state, relay SL-SRD deactivation coil point, simultaneously by state Indicator light in parallel with relay extinguishes, and shows relay coil power loss, load equipment is closed.This process passes through defeated for single-chip microcontroller High-low voltage driving relay completes the overall process of control facility switching out.
As shown in figure 3, the sensing switch control circuit 8 includes the first triode Q11 and the second triode Q12, institute The base stage for stating the first triode Q11 is connected by the 4th resistance R4 with the control terminal of sensor controller, the one or three pole The collector of pipe Q11 is connected separately with the 5th resistance R5 and the 6th resistance R6, and the other end of the 5th resistance R5 is connected with electricity Source VCC, the other end of the 6th resistance R6 are connected with the second triode Q12 base stage, the current collection of the second triode Q12 Pole is connected with power supply VCC, and the emitter of the second triode Q12 is connected with PLC controller.
In the present embodiment, since soil moisture is not necessarily to stringent real-time measurement in actual monitoring, it is only necessary to as desired Timing uploads data, this sensor maximum current reaches, and acquisition node is using solar powered, and electricity is limited, institute To devise the switching circuit of probe power for such situation, convenient for the power consumption control of system, sensing switch control electricity Selection wire jumper is devised in road 8, it can be achieved that power supply selection, the controlled selection of power supply, output partial pressure selection function.
The data fusion module 9 calculates sensor node using the data anastomosing algorithm based on cluster-based techniques, Analysis node energy and threshold values size.
In the present embodiment, (abbreviation DFACT) algorithm is merged using based on cluster structured wireless sensor network data, DFACT algorithm reduces network congestion using the combination based on mobile agent model between Data Fusion Tree and cluster is constructed in cluster, Balanced node energy consumption improves Network morals, and the delay of data communication, algorithm are reduced by construction Data Fusion Tree Using particle group optimizing (abbreviation PSO) algorithm optimization sub-clustering mode, intra-cluster distance is minimized, node energy and surrounding are comprehensively considered The influence of node selects cluster head, is carried out data transmission in cluster by constructing Data Fusion Tree, and encrypt to the data of transmission, By local updating code key in cluster and using the characteristic of Data Fusion Tree, under the premise of spending less energy, protection is because passing Sense node is captured and the safety for the data that may be stolen, and the data fusion between cluster passes through under the model based on mobile agent Algorithms selection optimal path finds out optimal routing node sequence.
The data anastomosing algorithm the following steps are included:
S1, Q different particles of initialization, each particle indicates a kind of possible sub-clustering mode, while initializing maximum Cycle-index Max;
S2 calculates each particle p (p=1,2,3 ... Q), finds out particle optimal value;
S3 determines the individual optimal value of each particle and the optimal value of population in population;
S4 in candidate cluster head, is searched apart from shortest position according to the various data informations of population optimal value more new sensor It sets, while particle location information is modified, executes this step again and find optimal value M.
In the present embodiment, it is cluster by the node division in sensor network, i.e., there will be the associated node of certain characteristic attributes Set, has each clustered round a cluster head, i.e. aggregators, remaining member node, that is, sensing node, according to certain algorithm picks Certain node is cluster head in cluster, for managing and controlling to sensing node in cluster, while carrying out the fusion of information collection and data Processing, in each cluster, by some sensing node of algorithm picks as cluster head, cluster head merges the data of sensing node, with Other cluster heads carry out data fusion and forward again, save network energy, number on the basis of network cluster dividing, between cluster head and cluster head The computation model based on mobile agent is selected according to transmission, QS node calculates the path of initial mobile agent according to global information, All cluster heads, i.e. aggregators are successively accessed, result is finally returned into QS node, when wireless sensor network popularization When, it is cluster structured to be more conducive to network sensing node management, there is preferable scalability, for whole network, without dimension The routing route of the complicated node data transmission of shield, reduces the complexity for calculating communicating route.
Sub-clustering mode uses improved DCHS algorithm in the step S1, it is assumed that and it include N number of node in sensing network G, Pre-defined to be divided into K cluster, the number between one (0,1) is randomly generated in each node, if the value of certain node selection is less than valve Value T (n), then the node is candidate cluster head, and cluster head generates in candidate cluster head, then:
Wherein p sensing node is selected as the probability of candidate cluster head;R is the number recycled at present;G isIt is never selected as waiting in wheel Select the node set of cluster head, En_currentAnd En_maxRespectively indicate the present energy and primary power of the node, rsIndicate continuous It is not selected as the number of candidate cluster head.
Optimal value is calculated using PSO algorithm in the step S2, it is assumed that different particles indicates different sub-clusterings in population Structure, objective function result indicate the cluster structured performance, and initializing m particle first is a population, find out optimal solution, Guarantee the minimum of target function value, objective function is as follows:
Cost=β f1+(1-β)f2
Wherein, f1Indicate node compactness, d (ni, CHP, K) indicate node and cluster head relative distance, | CP, K| it is the cluster The quantity of interior nodes, f2Indicate that the energy height of cluster head, β indicate the weight coefficient between the different factors.
In the present embodiment, cluster is splitted the network by PSO algorithm, reaches the consumption for reducing cluster self-energy, equalising network Energy extends the purpose of network lifecycle, improves the reasonability of algorithm.
Data fusion is carried out to cluster interior nodes again using DFACT algorithm in the step S3, if node goes out in-degree degree For Deg, while remembering that Loop is the maximum value of data fusion cycle-index, and fusion results cluster head is each sensing node distribution one A time delay MergeD distributes an a connection time delay ConnD and fusion time delay AggD within the MergeD time:
Wherein, the height for the Data Fusion Tree that algorithm generates in MAX_DEPTH cluster.
In the present embodiment, when node number under attack increases, Loop value is accordingly reduced, higher to obtain accuracy Fusion results.
DFACT algorithm in the S3 uses sum function for data fusion function, then data fusion function y (t) are as follows:
Wherein, di(t) data that sensing node i is collected into t moment in cluster are indicated.
In the present embodiment, the hop count h value for the Congestion Level SPCC for mitigating network, the transmission of cluster internal segment point data is selected as 1, In the MergeD period, by TAG algorithm construction data fusion balanced binary tree, data fusion is carried out to father node i in child node When, write down the child node number deg of father node ii, node i distributes the memory headroom that size is 1bit and is used to record The cycle-index loop of the data fusion of the node, after Data Fusion Tree construction complete, note loop is 1, logical in node connection In the letter stage, to reduce the collision generated by data communication, the ConnD period is uniformly divided into tpPiece, most by Data Fusion Tree Big height MAX_DEPTH determines that the number of the timeslice of distribution, node i distribute the height that 1b memory is used to memory node depthi,
The timeslice t that is distributed in ConnD of sensing node first1It is interior, allow node degiIt is randomly choosed for 0 sensing node Time is connected to its father node, and writes down degiFor the height depth of 0 nodeiIt is 0, the height of father node is then denoted as 1, until the node for allowing the height of node to be MAX_DEPTH is ganged up within the time of its distribution with cluster head, node is tested first Demonstrate,prove the height depth of oneselfiWhether be less than MAX_DEPTH, when node height be MAX_DEPTH, that is, indicate the node be cluster Head, without request send data, in Lifetime section, only need to receive data, within the AggD time, from bottom sensing node to Father node carries out data fusion operation layer by layer, and final cluster head obtains the fusion results of all node datas, while leader cluster node will The cycle-index loop of data fusion increases by 1, for the security risk for solving wireless network data transmission, adds to communication data Close calculating, using random key distribution mechanism, to guarantee that security risk that cluster interior nodes occur does not influence in other clusters code key more Newly, the consumption of node resource is reduced, each fasciation possesses K code key at a code key pond in pond, cluster interior nodes are from this code key K code key is randomly selected in pond, by sharing code key, prevents communication data from maliciously being stolen, if loop value is equal to or more than Loop is then updated the code key pond in the cluster.Simultaneously because the characteristics of balanced binary tree, when a certain node occur it is abnormal, It such as cannot normally be connected to or maliciously be intercepted and captured, can all cause the variation of a certain subtree height of Data Fusion Tree, i.e. left and right subtree Difference in height be greater than 1 when, regenerate partial equilibrium binary tree, and update code key pond.
In the present embodiment, by the way that the efficiency of condition monitoring can not only be improved to wireless sensor network node progress sub-clustering, And accurate judgement can be made to the safe condition of monitoring device, node energy consumption is reduced, network lifecycle is extended, protects number According to safety.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore, These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.

Claims (9)

1. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type is irrigated, including PLC controller (1), sensor controller (7) and wirelessly Data transmission terminal (5), which is characterized in that the control terminal three-way electromagnetic valve (2) of the PLC controller (1) is connected with water pump (3), described The interaction port of PLC controller (1) is connected with scene collection control computer (4), the letter of the PLC controller (1) by OPC serial ports Number end is connected by RS485 with Wireless Data Transmission Terminal (5), and the inside of the PLC controller (1) is additionally provided with control circuit (6), the control terminal of the control circuit (6) is connected with sensor controller (7), the signal of the sensor controller (7) End is connected with data fusion module (9), and the control terminal of the sensor controller (7) is also connected with sensing switch control circuit (8)。
2. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type according to claim 1 is irrigated, which is characterized in that the control Circuit (6) includes fixed relay (M) and triggering triode (Q1), and the output end of the fixed relay (M) passes through control line Road is connected with the collector of triggering triode (Q1), and the emitter of triggering triode (Q1) is directly grounded (GND), described The base stage of triggering triode (Q1) is connected in series with first resistor (R1) and second resistance (R2), the first resistor (R1) respectively It is connected between second resistance (R2) control signal wire (PL1), the collector of triggering triode (Q1) is also respectively connected with There are the first diode (D1) and the second diode (D2), is set as between first diode (D1) and the second diode (D2) It is connected in parallel, the conduction terminal of first diode (D1) is also connected in series with 3rd resistor (R3), the fixed relay (M) Control terminal be connected with row needle (JP1).
3. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type according to claim 1 is irrigated, which is characterized in that the sensing Device ON-OFF control circuit (8) includes the first triode (Q11) and the second triode (Q12), the base of first triode (Q11) Pole is connected by the 4th resistance (R4) with the control terminal of sensor controller (7), the collector of first triode (Q11) It is connected separately with the 5th resistance (R5) and the 6th resistance (R6), the other end of the 5th resistance (R5) is connected with power supply (VCC), The other end of 6th resistance (R6) is connected with the second triode (Q12) base stage, the current collection of second triode (Q12) Pole is connected with power supply (VCC), and the emitter of second triode (Q12) is connected with PLC controller.
4. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type according to claim 1 is irrigated, which is characterized in that the data Fusion Module (9) calculates sensor node using the data anastomosing algorithm based on cluster-based techniques, analysis node energy and Threshold values size.
5. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type according to claim 4 is irrigated, it is characterised in that: the data Blending algorithm the following steps are included:
S1, Q different particles of initialization, each particle indicates a kind of possible sub-clustering mode, while initializing largest loop Number Max;
S2 calculates each particle p (p=1,2,3 ... Q), finds out particle optimal value;
S3 determines the individual optimal value of each particle and the optimal value of population in population;
S4 in candidate cluster head, is searched apart from shortest position according to the various data informations of population optimal value more new sensor, Particle location information is modified simultaneously, executes this step again and finds optimal value M.
6. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type according to claim 5 is irrigated, it is characterised in that: the step Sub-clustering mode uses improved DCHS algorithm in S1, it is assumed that and it include N number of node in sensing network G, it is pre-defined to be divided into K The number between one (0,1) is randomly generated in cluster, each node, if the value of certain node selection is less than threshold values T (n), the node For candidate cluster head, cluster head generates in candidate cluster head, then:
Wherein p sensing node is selected as the probability of candidate cluster head;R is the number recycled at present;G isCandidate cluster is never selected as in wheel The node set of head, En_currentAnd En_maxRespectively indicate the present energy and primary power of the node, rsIndicate continuous unselected For the number of candidate cluster head.
7. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type according to claim 5 is irrigated, it is characterised in that: the step Optimal value is calculated using PSO algorithm in S2, it is assumed that different particles indicates different cluster structured, objective function results in population Indicate the cluster structured performance, initializing m particle first is a population, finds out optimal solution, guarantees target function value It minimizes, objective function is as follows:
Cost=β f1+(1-β)f2
Wherein, f1Indicate node compactness, d (ni, CHP, K) indicate node and cluster head relative distance, | CP, K| it is the cluster internal segment The quantity of point, f2Indicate that the energy height of cluster head, β indicate the weight coefficient between the different factors.
8. the remote supervisory and control(ling) equipment that a kind of liquid manure integral type according to claim 5 is irrigated, it is characterised in that: the step Data fusion is carried out to cluster interior nodes again using DFACT algorithm in S3, if the in-degree degree that goes out of node is Deg, while remembering Loop For the maximum value of data fusion cycle-index, and fusion results cluster head is that each sensing node distributes a time delay MergeD, An a connection time delay ConnD and fusion time delay AggD is distributed in the MergeD time:
Wherein, the height for the Data Fusion Tree that algorithm generates in MAX_DEPTH cluster.
9. the long-distance monitoring method that a kind of liquid manure integral type according to claim 8 is irrigated, it is characterised in that: in the S3 DFACT algorithm use sum function for data fusion function, then data fusion function y (t) are as follows:
Wherein, di(t) data that sensing node i is collected into t moment in cluster are indicated.
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