CN107911852A - A kind of aquiculture floating head monitoring automatic alarm system - Google Patents
A kind of aquiculture floating head monitoring automatic alarm system Download PDFInfo
- Publication number
- CN107911852A CN107911852A CN201711078864.5A CN201711078864A CN107911852A CN 107911852 A CN107911852 A CN 107911852A CN 201711078864 A CN201711078864 A CN 201711078864A CN 107911852 A CN107911852 A CN 107911852A
- Authority
- CN
- China
- Prior art keywords
- nodes
- node
- sensing data
- aquaculture
- backbone
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/22—Communication route or path selection, e.g. power-based or shortest path routing using selective relaying for reaching a BTS [Base Transceiver Station] or an access point
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Farming Of Fish And Shellfish (AREA)
Abstract
The present invention provides a kind of aquiculture floating head monitoring automatic alarm system, including breeding environment monitoring wireless sensor network, gateway device and prior-warning device, breeding environment monitoring wireless sensor network is used to gather culture environment of aquatic products sensing data, and culture environment of aquatic products sensing data is transmitted to gateway device, gateway device one end communicates with breeding environment monitoring wireless sensor network, and one end is communicated by mobile communications network with prior-warning device;Gateway device sends the culture environment of aquatic products sensing data of reception to prior-warning device, and for prior-warning device when culture environment of aquatic products sensing data exceedes threshold value, floating head phenomenon occurs in judgement, and performs alarm.The present invention realizes the monitoring to culture environment of aquatic products, when culture environment of aquatic products sensing data exceedes threshold value, performs alarm, can be widely applied to agriculture aquaculture Mesichthyes and raises the nose above water to breathe caused by the reasons such as water quality, weather event-monitoring.
Description
Technical Field
The invention relates to the technical field of agricultural aquaculture, in particular to an automatic monitoring and alarming system for an aquaculture floating head.
Background
In the related technology, fish culture mainly adopts modes of fish pond captive culture and the like, and the floating phenomenon of fish schools is the main reason for the death of captive fish schools at present. The fish school floating phenomenon refers to the phenomenon that when the water quality is severely changed due to oxygen deficiency, deterioration or meteorological conditions, fish schools float to the water surface and die rapidly after a certain time. The severe floating head phenomenon can cause death of a large area or all of the fish school, resulting in huge property loss. The main measure for preventing the fish shoal floating head phenomenon is to timely adopt equipment such as a water pump and the like to carry out water oxygenation and replacement. However, the sudden floating of the fish head often occurs in the late night, which often causes the situation that the farmers cannot timely increase oxygen and change water quality. In addition, the daily water quality monitoring and replacement mainly depend on manual operation, namely whether the fishpond needs operations such as oxygenation and water changing is subjectively judged according to the culture experience. Therefore, the floating head phenomenon is still one of the causes of important property loss of aquaculture farmers at present. In order to effectively prevent the floating head phenomenon and timely alarm farmers to take relevant first-aid measures, an automatic water quality and gas condition monitoring system is established and can be in emergency linkage with a water pump, the farmers and the like, so that the floating head phenomenon of fish schools is effectively prevented, and the property loss of people is reduced. Currently, the above mentioned dedicated systems have not emerged.
Disclosure of Invention
Aiming at the problems, the invention provides an automatic alarm system for monitoring a floating head of aquaculture.
The purpose of the invention is realized by collecting the following technical scheme:
the aquaculture floating head monitoring automatic alarm system comprises a aquaculture environment monitoring wireless sensor network, gateway equipment and an early warning device, wherein the aquaculture environment monitoring wireless sensor network is used for acquiring aquaculture environment sensing data and transmitting the aquaculture environment sensing data to the gateway equipment; the gateway equipment sends the received aquaculture environment sensing data to the early warning device, and the early warning device judges that the floating head phenomenon occurs when the aquaculture environment sensing data exceeds a threshold value and executes alarming.
Preferably, the early warning device comprises a horn or an alarm bell.
Preferably, the aquaculture environment monitoring wireless sensor network comprises a base station node set outside the aquaculture monitoring area and a plurality of sensor detection nodes deployed in the set aquaculture monitoring area, and the base station node is in communication with the gateway device.
Preferably, the sensor detection node comprises a sensor, a wireless communication component, a central processing component, a water pump control component and a user control interface; the central processing unit is mainly used for carrying out state management, event processing and wireless network maintenance operation on each part of the sensor detection node; the water pump control part is mainly used for automatically opening the water pump when the sensing data of the aquaculture environment exceeds a threshold value; the user control interface is mainly used for dynamic setting of the threshold value.
The beneficial effects of the invention are as follows: based on the wireless sensor network technology, the monitoring of the aquaculture environment is realized, when the sensing data of the aquaculture environment exceeds a threshold value, the alarm is executed, the method can be widely applied to monitoring the floating head events of fishes in agricultural aquaculture caused by water quality, weather and other reasons, and the death rate of the floating head fishes and the property loss of farmers can be effectively reduced.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of the architecture of one embodiment of the present invention;
fig. 2 is a block diagram of a sensor probe node according to an embodiment of the present invention.
Reference numerals:
the system comprises a breeding environment monitoring wireless sensor network 1, a gateway device 2, an early warning device 3, a sensor 10, a wireless communication part 20, a central processing part 30, a water pump control part 40 and a user control interface 50.
Detailed Description
The invention is further described in connection with the following examples.
Referring to fig. 1, the aquaculture floating head monitoring automatic alarm system provided by the embodiment comprises a aquaculture environment monitoring wireless sensor network 1, a gateway device 2 and an early warning device 3, wherein the aquaculture environment monitoring wireless sensor network 1 is used for collecting aquaculture environment sensing data and transmitting the aquaculture environment sensing data to the gateway device 2, one end of the gateway device 2 is in communication with the aquaculture environment monitoring wireless sensor network 1, and the other end of the gateway device is in communication with the early warning device 3 through a mobile communication network; the gateway device 2 sends the received aquaculture environment sensing data to the early warning device 3, and when the aquaculture environment sensing data exceed a threshold value, the early warning device 3 judges that a floating head phenomenon occurs and executes alarming.
Wherein, the early warning device 3 comprises a horn or an alarm bell.
The aquaculture environment sensing data comprise temperature, air pressure, oxygen content, pH value and turbidity.
In one embodiment, the aquaculture environment monitoring wireless sensor network comprises a base station node set outside an aquaculture monitoring area and a plurality of sensor probe nodes deployed in the set aquaculture monitoring area, wherein the base station node is in communication with the gateway device 2.
In one embodiment, the sensor detection node comprises a sensor 10, a wireless communication component 20, a central processing component 30, a water pump control component 40, a user control interface 50; the central processing unit 30 mainly performs status management, event processing and wireless network maintenance operation of each component of the sensor detection node; the water pump control part 40 is mainly used for automatically opening the water pump when the sensing data of the aquaculture environment exceeds a threshold value; the user control interface 50 is mainly used for dynamic setting of the threshold values.
The embodiment of the invention is based on the wireless sensor network technology, realizes the monitoring of the aquaculture environment, executes the alarm when the sensed data of the aquaculture environment exceeds the threshold value, can be widely applied to the monitoring of the floating head event of fishes in agricultural aquaculture caused by water quality, weather and other reasons, and can effectively reduce the death rate of the floating head fishes and the property loss of farmers.
In one embodiment, when the wireless sensor network for monitoring the aquaculture environment is used for constructing network topology, a plurality of backbone nodes are selected by the sensor detection nodes through election, and a routing path from each backbone node to the base station node is established by the base station node, so that a backbone network is formed; the method comprises the steps that the rest sensor detection nodes send collected aquaculture environment sensing data to backbone nodes which are closest to the backbone nodes, the backbone nodes are used for collecting the aquaculture environment sensing data sent by the sensor detection nodes, the collected aquaculture environment sensing data and the aquaculture environment sensing data collected by the backbone nodes are fused, and the fused aquaculture environment sensing data are sent to base station nodes according to established routing paths.
In one embodiment, when the sensor detection node competes for the backbone node, the method specifically includes:
(1) Initially, each sensor detection node acquires information of other sensor detection nodes in a communication range of the sensor detection node through information interaction, a neighbor node list is created and updated, a base station node is set as a sink, and each sensor detection node calculates a random threshold value:
in the formula, Q i Representing a random threshold, U, calculated by the sensor probe node i i Mu is the energy cost of sending an aquaculture environment sensing data packet to a set sensor detection node, v is the energy cost of receiving an aquaculture environment sensing data packet by a set sensor detection node, K i Indicating sensor detecting jointThe number of neighbor nodes of the point i, wherein the neighbor nodes are other sensor detection nodes positioned in the communication range of the sensor detection node, W (i, j) is the distance between the sensor detection node i and the jth neighbor node thereof, W (i, sink) is the distance between the sensor detection node i and the base station node, and p 1 、p 2 Is a set weight factor and satisfies 0.8>p 1 ,p 2 >0;
(2) Each sensor detection node generates a random number between 0 and 1 by using a safety encryption random number generator, and judges whether the random number is smaller than a calculated random threshold value, if so, the sensor detection node is selected as an alternative backbone node, each alternative backbone node confirms whether other alternative backbone nodes exist in the communication range of the sensor detection node through information interaction, if so, the current residual energy and the number of neighbor nodes are compared, if the current residual energy and the number of the neighbor nodes are smaller than the other alternative backbone nodes in the communication range, the backbone node election is abandoned, and finally, the alternative backbone nodes which do not give up the backbone node election are successfully selected as the backbone nodes.
The alternative backbone nodes are randomly elected in a random threshold mode, so that each sensor detection node with a good state has an opportunity to become a backbone node, a wide and wide backbone network is beneficially established, the uniformity of the backbone nodes in a deployment area of the breeding environment monitoring wireless sensor network 1 is improved, and network loss caused by aggregation of the backbone nodes is reduced; after the alternative backbone nodes are elected, the alternative backbone nodes with current residual energy and small node density are further screened out from the alternative backbone nodes with short distance, so that the scale of the backbone network is reduced, and the communication cost for collecting the sensing data of the aquaculture environment is further saved.
In one embodiment, the establishing, by the base station node, a routing path from each backbone node to the base station node specifically includes:
(1) Setting a backbone node as H, defining the other backbone nodes except H as relay forwarding nodes of H, using sensor detection nodes for transmitting aquaculture environment sensing data to the backbone nodes as child nodes of the backbone nodes, wherein each routing path is formed by connecting a plurality of backbone nodes, acquiring all routing paths from the backbone nodes H to a base station node, and calculating the selection probability of each routing path according to the following formula:
in the formula (I), the compound is shown in the specification,represents the rho-th routing path from the backbone node H to the base station node sink,to representSelection probability of U g Is composed ofThe current residual energy of the above-g relay forwarding node, mu, is the energy overhead of sending an aquaculture environment sensing data packet to the set sensor detection node, v is the energy overhead of receiving an aquaculture environment sensing data packet by the set sensor detection node, N g Is composed ofThe number of child nodes of the g-th relay forwarding node, M ρ Is composed ofNumber of upper relay forwarding nodes, r gmax Is composed ofThe maximum communication radius of the above g-th relay forwarding node,is composed ofTotal length of path of (f) 1 、f 2 Is a set weight coefficient and satisfies 0<f 2 <f 1 <1;
(2) And selecting the routing path with the maximum probability as the final routing path from the backbone node to the base station node.
The implementation designs a calculation formula of the selection probability of the routing path, and the calculation formula comprehensively considers three factors of energy consumption, communication radius and the length of the routing path of the relay forwarding node, so that the routing path from the backbone node to the base station node is selected according to the selection probability, and a better routing path with a longer life cycle can be established;
in addition, the routing path from the backbone node to the base station node is selected according to the selection probability, so that the energy of each backbone node can be balanced and the load of the relay forwarding node can be borne on the premise of ensuring a short routing distance, the life cycle of the aquaculture environment monitoring wireless sensor network 1 can be prolonged, and the long-term stable operation of the aquaculture floating head monitoring automatic alarm system can be guaranteed.
In one embodiment, if no backbone node is located within the communication range of the sensor detection node, the sensor detection node transmits the acquired aquaculture environment sensing data to a neighbor node with the largest state value, and the neighbor node forwards the aquaculture environment sensing data to the backbone node closest to the aquaculture environment sensing data.
In one embodiment, when the sensor detection node acquires the state values of the neighbor nodes, the sensor detection node broadcasts a message to each neighbor node, each neighbor node calculates the state value of itself and feeds back the state value to the sensor detection node, and E is set αβ State value of the beta-th neighbor node representing sensor probe node alpha, E αβ The calculation formula of (2) is as follows:
in the formula,r αβmax The maximum communication radius of the beta-th neighbor node of the sensor detection node alpha, W (alpha beta, gamma) is the distance between the beta-th neighbor node of the sensor detection node alpha and the backbone node closest to the beta-th neighbor node, and K αβ Number of neighbor nodes, K, possessed by the beta-th neighbor node of the sensor detection node alpha α Number of neighbor nodes of node alpha detected for sensor, b 1 、b 2 Is a set weight factor and satisfies 0<b 1 ,b 2 <1。
For the situation that no backbone node exists in the communication range of the sensor detection node, the embodiment provides an aquaculture environment sensing data transmission mechanism of the sensor detection node far away from the backbone node, wherein a calculation formula of a state value is formulated according to the distance between a neighbor node and the backbone node closest to the neighbor node, the communication range and the node density, and the sensor detection node selects the state value with the largest state value from the state values of the neighbor node for assisting in forwarding aquaculture environment sensing data, so that the reliability of forwarding the aquaculture environment sensing data is guaranteed, and the energy consumption of forwarding and transmitting the aquaculture environment sensing data is further saved; according to the aquaculture environment sensing data transmission mechanism, the state value of the sensor detection node is not measured by using the current residual energy, and the sensor detection node only needs to acquire the state value once in the topology construction process, so that energy consumption caused by repeated confirmation is avoided, and the communication cost in the aspect of aquaculture environment sensing data collection is saved.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (6)
1. An aquaculture floating head monitoring automatic alarm system is characterized by comprising an aquaculture environment monitoring wireless sensor network, gateway equipment and an early warning device, wherein the aquaculture environment monitoring wireless sensor network is used for collecting aquaculture environment sensing data and transmitting the aquaculture environment sensing data to the gateway equipment; the gateway equipment sends the received aquaculture environment sensing data to the early warning device, and the early warning device judges that the floating head phenomenon occurs when the aquaculture environment sensing data exceeds a threshold value and executes alarming.
2. An aquaculture floating head monitoring automatic alarm system according to claim 1, characterized in that the early warning device comprises a horn or an alarm bell.
3. The system of claim 1, wherein the aquaculture floating head monitoring wireless sensor network comprises a base station node disposed outside the aquaculture monitoring area and a plurality of sensor detection nodes disposed within the aquaculture monitoring area, the base station node being in communication with the gateway device.
4. The automatic monitoring alarm system for the floating head of the aquaculture of claim 3, wherein the sensor detection node comprises a sensor, a wireless communication part, a central processing part, a water pump control part and a user control interface; the central processing unit is mainly used for performing state management, event processing and wireless network maintenance operation on each part of the sensor detection node; the water pump control part is mainly used for automatically opening the water pump when the sensing data of the aquaculture environment exceeds a threshold value; the user control interface is mainly used for dynamic setting of the threshold value.
5. The system of claim 3, wherein when the aquaculture floating head monitoring wireless sensor network is used for network topology construction, the sensor detection nodes select a plurality of backbone nodes through election, and the base station nodes establish routing paths from the backbone nodes to the base station nodes, so that a backbone network is formed; the method comprises the steps that the rest sensor detection nodes send acquired aquaculture environment sensing data to backbone nodes which are closest to the backbone nodes, the backbone nodes are used for collecting the aquaculture environment sensing data sent by the sensor detection nodes, fusing the collected aquaculture environment sensing data with the aquaculture environment sensing data acquired by the backbone nodes, and sending the fused aquaculture environment sensing data to base station nodes according to an established routing path.
6. The system of claim 5, wherein the base station nodes establish routing paths from backbone nodes to the base station nodes, and the system comprises:
(1) Setting a backbone node as H, defining the other backbone nodes except H as relay forwarding nodes of H, using sensor detection nodes for transmitting aquaculture environment sensing data to the backbone nodes as child nodes of the backbone nodes, wherein each routing path is formed by connecting a plurality of backbone nodes, acquiring all routing paths from the backbone nodes H to a base station node, and calculating the selection probability of each routing path according to the following formula:
in the formula (I), the compound is shown in the specification,represents the rho-th routing path from the backbone node H to the base station node sink,to representSelection probability of U g Is composed ofThe current residual energy of the above-g relay forwarding node is mu energy cost for sending an aquaculture environment sensing data packet to the set sensor detection node, v energy cost for receiving an aquaculture environment sensing data packet by the set sensor detection node, and N g Is composed ofThe number of child nodes of the g-th relay forwarding node, M ρ Is composed ofNumber of upper relay forwarding nodes, r gmax Is composed ofThe maximum communication radius of the above g-th relay forwarding node,is composed ofTotal length of path of (f) 1 、f 2 Is a set weight coefficient and satisfies 0<f 2 <f 1 <1;
(2) And selecting the routing path with the maximum probability as the final routing path from the backbone node to the base station node.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711078864.5A CN107911852A (en) | 2017-11-06 | 2017-11-06 | A kind of aquiculture floating head monitoring automatic alarm system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711078864.5A CN107911852A (en) | 2017-11-06 | 2017-11-06 | A kind of aquiculture floating head monitoring automatic alarm system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107911852A true CN107911852A (en) | 2018-04-13 |
Family
ID=61843504
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711078864.5A Pending CN107911852A (en) | 2017-11-06 | 2017-11-06 | A kind of aquiculture floating head monitoring automatic alarm system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107911852A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108449235A (en) * | 2018-05-07 | 2018-08-24 | 苏州德姆斯信息技术有限公司 | Equipment alarm calculation processing system and processing method |
CN109186667A (en) * | 2018-09-03 | 2019-01-11 | 广州市花林景观工程有限公司 | lake water index real-time monitoring system |
CN115616183A (en) * | 2022-11-29 | 2023-01-17 | 深圳市猫头鹰智慧科技有限公司 | Water quality monitoring and early warning system for aquaculture |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101295176A (en) * | 2008-03-05 | 2008-10-29 | 中科院嘉兴中心微系统所分中心 | Aquiculture floating head monitoring automatic alarm system and method based on wireless sensing network |
US20090252087A1 (en) * | 2008-04-03 | 2009-10-08 | National Taiwan University | Wireless-linked remote ecological environment monitoring system |
CN104853451A (en) * | 2015-03-13 | 2015-08-19 | 扬州工业职业技术学院 | Aquarium fish culture environment monitoring system based on wireless sensor network |
CN107182838A (en) * | 2017-07-18 | 2017-09-22 | 陈剑桃 | A kind of poultry farming intelligent monitor system |
-
2017
- 2017-11-06 CN CN201711078864.5A patent/CN107911852A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101295176A (en) * | 2008-03-05 | 2008-10-29 | 中科院嘉兴中心微系统所分中心 | Aquiculture floating head monitoring automatic alarm system and method based on wireless sensing network |
US20090252087A1 (en) * | 2008-04-03 | 2009-10-08 | National Taiwan University | Wireless-linked remote ecological environment monitoring system |
CN104853451A (en) * | 2015-03-13 | 2015-08-19 | 扬州工业职业技术学院 | Aquarium fish culture environment monitoring system based on wireless sensor network |
CN107182838A (en) * | 2017-07-18 | 2017-09-22 | 陈剑桃 | A kind of poultry farming intelligent monitor system |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108449235A (en) * | 2018-05-07 | 2018-08-24 | 苏州德姆斯信息技术有限公司 | Equipment alarm calculation processing system and processing method |
CN108449235B (en) * | 2018-05-07 | 2023-12-12 | 苏州德姆斯信息技术有限公司 | Equipment alarm calculation processing system and processing method |
CN109186667A (en) * | 2018-09-03 | 2019-01-11 | 广州市花林景观工程有限公司 | lake water index real-time monitoring system |
CN109186667B (en) * | 2018-09-03 | 2021-06-04 | 中成大运(北京)智慧城市科技发展有限公司 | Lake water index real-time monitoring system |
CN115616183A (en) * | 2022-11-29 | 2023-01-17 | 深圳市猫头鹰智慧科技有限公司 | Water quality monitoring and early warning system for aquaculture |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107911852A (en) | A kind of aquiculture floating head monitoring automatic alarm system | |
CN107205214B (en) | Wireless sensor network monitoring system is bred to poultry | |
CN108346254A (en) | A kind of forest fire monitoring system based on unmanned plane | |
CN101221231A (en) | Fixed-point grazing method and device thereof | |
CN107219860B (en) | Unmanned aerial vehicle grassland management system and method | |
CN108401236A (en) | Freshwater fish culturing ambient intelligence monitoring system | |
CN110881173B (en) | Environment monitoring system based on Internet of things | |
CN109030313A (en) | Seepage flow intelligent monitor system for hydraulic engineering | |
CN101295176A (en) | Aquiculture floating head monitoring automatic alarm system and method based on wireless sensing network | |
CN108154669A (en) | Intelligent monitoring system for bridge | |
CN108417000A (en) | A kind of mangrove growing environment intelligent monitor system based on WSN technology | |
CN107483632A (en) | A kind of aquaculture ambient intelligence monitoring system | |
CN108986414A (en) | Slope geological intelligent monitoring prior-warning device | |
CN109194715A (en) | Hydraulic engineering seepage flow intelligent monitor system | |
JP2007306804A (en) | System and method for carrying out health care of animal | |
CN108810845B (en) | Electric heating belt temperature monitoring system of oil field oil pipeline | |
CN112884302B (en) | Electric power material management method | |
CN108812207A (en) | A kind of automatic irrigation system based on Farmland Water monitoring | |
CN108174428A (en) | Landslide wireless monitor early warning system | |
CN108200662A (en) | Urban track traffic civil engineering facility intelligent monitor system | |
CN112135269B (en) | Intelligent fire-fighting early warning system applied to production workshop | |
CN108075572B (en) | Transformer direct current magnetic biasing on-line monitoring system | |
CN110505571B (en) | Risk topic analysis system based on artificial intelligence technology | |
CN111784989B (en) | Information security management system based on big data | |
CN206710835U (en) | Intelligent aquatic products management system for breeding based on Internet of Things |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180413 |