CN109788064B - urban water monitoring node Internet of things network and self-organization method thereof - Google Patents
urban water monitoring node Internet of things network and self-organization method thereof Download PDFInfo
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Abstract
The embodiment of the application provides urban water monitoring node internet-of-things networks, which comprise a water affair cloud platform, a plurality of internet-of-things base stations in communication connection with the water affair cloud platform, and a plurality of movable internet-of-things node devices in communication connection with each internet-of-things base station based on an internet-of-things communication protocol, wherein the movable internet-of-things node devices are movably distributed in urban water, a plurality of sensors are integrated on the movable internet-of-things node devices and used for collecting water indexes of water in a current area of the movable internet-of-things node devices, the internet-of-things base stations are used for receiving the water indexes uploaded by the corresponding movable internet-of-things node devices, and the water affair cloud platform determines water environments and flood situations of the area where the corresponding internet-of-things base stations are located according to the water index sets uploaded by the internet-of-things base stations.
Description
Technical Field
The application relates to the technical field of Internet of things applied to environmental protection monitoring, in particular to urban water monitoring node Internet of things and a self-organization method thereof.
Background
The water quality monitoring is a process for monitoring and determining the types of pollutants in water bodies, the concentration and the change trend of various pollutants and evaluating the water quality conditions, the monitoring range is quite , the monitoring range comprises uncontaminated and contaminated natural water (rivers, lakes, seas and underground water) and various industrial drainage and the like, main monitoring items can be divided into two categories, namely categories are comprehensive indexes for reflecting the water quality conditions, such as temperature, chroma, turbidity, pH value, conductivity, suspended matters, dissolved oxygen, chemical oxygen demand, biochemical oxygen demand and the like, and categories are toxic substances, such as phenol, cyanogen, arsenic, lead, chromium, cadmium, mercury, organic pesticides and the like, and in order to objectively evaluate the water quality conditions of rivers and oceans, the flow rate and the flow rate are sometimes measured except for the monitoring items.
In the traditional water quality monitoring, fixed number of monitoring points are manually set in a monitored water body area in advance, and then node equipment is deployed at each monitoring point, however, the positions of the monitoring points are not necessarily optimized, for example, it is possible that the monitoring data of the two monitoring points tend to , which shows that the two monitoring points are identical in arrangement and have redundancy, the monitoring points are unreasonably distributed and are easy to generate monitoring blind areas, in addition, the distribution of pollutants and the like in the water body is dynamically changed at any time, the setting of the water body monitoring points is optimal in the current time, the monitoring points cannot be optimized along with the change of the water quality distribution of the water body after time, and the redundancy and the monitoring blind areas of the monitoring points occur again.
Disclosure of Invention
In view of this, the present application aims to provide kinds of city water monitoring node internet of things and a self-organizing method thereof, so as to solve the technical problems in the prior art that the distribution of monitoring points for water quality monitoring is not easy to optimize, monitoring point redundancy or monitoring blind areas are easy to exist, and meanwhile, the distribution of the monitoring points cannot be automatically and dynamically adjusted according to the distribution of pollutants and the like in a water body, so that the collected water quality monitoring data is inaccurate, and the water quality condition cannot be comprehensively and timely reflected.
Based on the above purpose, in th aspect of the application, the urban water monitoring node internet of things network is provided, which comprises a water affair cloud platform, a plurality of internet of things base stations in communication connection with the water affair cloud platform, and a plurality of movable internet of things node devices in communication connection with each internet of things base station based on an internet of things communication protocol;
the movable node equipment of the Internet of things is movably distributed in urban water, and is integrated with various sensors for acquiring water indexes of water in the current area and uploading the water indexes to corresponding base stations of the Internet of things;
the Internet of things base station is used for receiving water body indexes uploaded by the plurality of mobile Internet of things node devices corresponding to the Internet of things base station, generating a water body index set and uploading the water body index set to the water affair cloud platform;
the water affair cloud platform determines the water environment and flood situation of the area corresponding to the base station of the internet of things according to the water index set uploaded by the base station of the internet of things; and the mobile internet of things node equipment is used for issuing a mobile instruction to the mobile internet of things node equipment through analyzing the water body index set.
In , the mobile internet of things node device is further configured to:
and carrying out data transmission with other movable node equipment of the Internet of things, and sending the water body index acquired by the node equipment of the Internet of things to the other movable node equipment of the Internet of things.
In , the mobile internet of things node device includes:
the system comprises a water body monitoring unit, an Internet of things communication unit and a motion control unit;
the water body monitoring unit is integrated with a plurality of sensors and is used for acquiring water body indexes of different types;
the Internet of things communication unit is used for uploading water body indexes to corresponding Internet of things base stations or sending the water body indexes to other movable Internet of things node equipment;
the motion control unit is used for controlling the movable node equipment of the Internet of things to move in the water body.
In , the sensors integrated on the mobile internet of things node device comprise a water quality sensor, a temperature sensor and a flow rate sensor;
the water quality sensor is used for collecting water quality data in a water area where the movable Internet of things node equipment is located, the temperature sensor is used for collecting water temperature data in the water area where the movable Internet of things node equipment is located, and the flow velocity sensor is used for collecting the water velocity in the water area where the movable Internet of things node equipment is located.
In , the motion control unit includes:
the device comprises a controller, a power propeller and a direction adjusting mechanism, wherein the power propeller and the direction adjusting mechanism are connected with the controller.
In embodiments, the controller is configured to:
and controlling the power propeller and the direction adjusting mechanism according to the water velocity, collected by the flow velocity sensor, in the water body region where the movable node equipment of the Internet of things is located, so that the movable node equipment of the Internet of things moves in the water body region.
In , the mobile internet of things node device further includes:
and the GPS positioning unit is used for positioning the current position of the movable node equipment of the Internet of things.
In , the mobile internet of things node device further includes:
the buoyancy plate is used for connecting and fixing the water body monitoring unit, the Internet of things communication unit, the motion control unit and the GPS positioning unit.
In view of the above, in a second aspect of the present application, there is also provided an ad hoc method of urban water monitoring nodes, including:
in th preset time period, acquiring water body indexes collected by all movable Internet of things node equipment distributed in a water body according to preset frequency;
for each movable internet-of-things node devices, calculating the homogeneity between the movable internet-of-things node device and the movable internet-of-things node devices which are closest to the movable internet-of-things node device and have preset values, and determining a homogeneity index;
determining the mean value of the homogeneity indexes between each movable Internet of things node device and the movable Internet of things node devices which are closest to the movable Internet of things node device and have preset values; further calculating the total average value of the homogeneity indexes of all movable Internet of things node equipment in the water body;
if the total average value of the homogeneity indexes is larger than a preset threshold value, selecting a movable Internet of things node equipment node pair serving as an adjusting object from the plurality of movable Internet of things node equipment node pairs according to a preset condition, selecting movable Internet of things node equipment in the movable Internet of things node equipment node pair serving as the adjusting object, and moving for a preset distance in a random direction or a preset direction;
and repeating the process until the total average value of the homogeneity indexes is not greater than the preset threshold value.
In , for each of the plurality of movable internet of things node devices, calculating the homogeneity between the movable internet of things node device and the movable internet of things node device closest to the movable internet of things node device by a preset value, and determining a homogeneity indicator includes:
and calculating the mean square deviation value of the water quality data, the water temperature data or the water flow speed data acquired by each movable Internet of things node equipment in the plurality of movable Internet of things node equipment and the movable Internet of things node equipment which is closest to the movable Internet of things node equipment and has a preset value, and determining the homogeneity index which is in inverse proportion to the mean square deviation value according to the calculated mean square deviation value.
The embodiment of the application provides urban water monitoring node internet-of-things networks and self-organizing methods thereof, wherein the internet-of-things networks comprise a water affair cloud platform, a plurality of internet-of-things base stations in communication connection with the water affair cloud platform, and a plurality of movable internet-of-things node devices in communication connection with each internet-of-things base station based on an internet-of-things communication protocol, the movable internet-of-things node devices are movably distributed in urban water, a plurality of sensors are integrated on the movable internet-of-things node devices and used for collecting water indexes of water in a current area and uploading the water indexes to the corresponding internet-of-things base stations, the internet-of-things base stations are used for receiving the water indexes uploaded by the plurality of movable internet-of-things node devices corresponding to the internet-of-things node devices to generate a water index set and upload the water index set to the water affair cloud platform, the water affair cloud platform determines water and flood situations of the areas where the corresponding movable internet-of-things base stations are located according to the water index set uploaded, and analyzes the water index set to issue mobile indication to the movable node devices, the urban water monitoring node devices, and the water monitoring node network and the self-of the internet-of the urban water monitoring network can monitor water quality, monitor water and monitor water quality, and monitor water quality of the water more accurately.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic structural diagram of an urban water monitoring node internet of things network according to embodiment of the present application;
fig. 2 is a functional structure schematic diagram of a mobile internet of things node device of an urban water monitoring node internet of things network according to embodiment of the present application;
fig. 3 is a schematic structural diagram of a mobile internet of things node device of an urban water monitoring node internet of things network according to embodiment of the present application;
fig. 4 is a flowchart of an ad hoc method of urban water monitoring nodes according to a second embodiment of the present application.
Detailed Description
The present application is described in further detail in with reference to the drawings and the examples, it being understood that the specific examples are set forth herein for the purpose of illustration only and are not intended to be limiting.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Specifically, as shown in fig. 1, the present invention is a schematic structural diagram of an urban water monitoring node internet of things network according to embodiment of the present invention.
The system comprises a water affair cloud platform 101, a plurality of internet of things base stations 102 (such as the internet of things base station 1 and the internet of things base station 2 … …) which are in communication connection with the water affair cloud platform based on an internet of things communication protocol, and a plurality of movable internet of things node devices 103 (such as the movable internet of things node device 11 and the movable internet of things node device 12 … … and the movable internet of things node device 1 n) which are in communication connection with each internet of things base station 102 based on the internet of things communication protocol, wherein the symbol nn is used for representing the number of the movable internet of things node devices in the whole urban water body monitoring node internet of things network, the th n is used for representing the number of the corresponding internet of things base station, and the second n is used for representing the number of the movable internet of things node devices which are in communication connection with internet of things base stations.
In this embodiment, the movable internet of things node devices 103 are movably distributed in urban water, such as in rivers, lakes, or on the shore as needed. The mobile internet of things node equipment 103 is integrated with various sensors and used for acquiring water body indexes of water bodies in the current region where the mobile internet of things node equipment is located and uploading the water body indexes to corresponding internet of things base stations 102. The mobile internet of things node device 103 has an autonomously driven mobile part, which is mobile so as to be dynamically and autonomously adjustable to different positions at any time; when the mobile internet of things node equipment 103 is located at different positions, water body indexes of a water body in the current area where the mobile internet of things node equipment is located can be collected, and the water body indexes can be water quality, water temperature, water flow speed and the like. Specifically, multiple sensors can be integrated on the movable internet of things node device 103, the sensors of different types are used for acquiring water indexes of different types, the multiple sensors can comprise a water quality sensor, a temperature sensor and a flow rate sensor, the water quality sensor is used for acquiring water quality data in a water area where the movable internet of things node device is located, the temperature sensor is used for acquiring water temperature data in the water area where the movable internet of things node device is located, and the flow rate sensor is used for acquiring the water velocity in the water area where the movable internet of things node device 103 is located. After the movable internet of things node equipment 103 acquires the water body index of the water body in the current region, the acquired water body index is uploaded to the corresponding internet of things base station 102.
The internet of things base station 102 is configured to receive water body indexes uploaded by a plurality of corresponding mobile internet of things node devices 103, generate a water body index set, and upload the water body index set to the water service cloud platform.
In this embodiment, the internet of things base stations 102 may be set according to a signal coverage area allowed by the internet of things base stations, that is, each internet of things base station 102 has a coverage area determined by , and a plurality of internet of things base stations 102 collectively cover a water body area of a current city.a mobile internet of things node device 103 corresponding to the internet of things base station 102 is distributed in the signal coverage area of the internet of things base station 102. when the mobile internet of things node device 103 moves from the coverage area of internet of things base stations 102 to the coverage area of another internet of things base stations 102, base station switching is required, that is, the mobile internet of things node device 103 searches for a new internet of things base station, associates the new internet of things base station with the new internet of things base station 102 to become a node device corresponding to the new internet of things base station 102, and disassociates from the original internet of things base station 102.
The water affair cloud platform 101 determines the water environment and the flood situation of the area corresponding to the internet of things base station 102 according to the water body index set uploaded by the internet of things base station 102, namely the water affair cloud platform 101 determines the water environment and the flood situation in the signal coverage area of each internet of things base station 102 according to the water body index set uploaded by the internet of things base station 102, and further obtains the water environment and the flood situation distribution of the whole water body area by combining the water body index sets uploaded by all the internet of things base stations 102.
The urban water monitoring node Internet of things network can reasonably distribute the movable Internet of things node devices, and meanwhile dynamic autonomous adjustment can be carried out on monitoring positions of the movable Internet of things node devices according to changes of water indexes, so that collected water quality monitoring data are more accurate.
In addition, as optional embodiments of the application, the mobile internet of things node device 103 is further configured to transmit data with other mobile internet of things node devices 103 and transmit the acquired water body indexes to the other mobile internet of things node devices, in a normal case, signals of the internet of things node device 102 can cover the water body of the current city together, but there are special cases, for example, when the water body of the city is a lake, the lake center is inconvenient to set the internet of things node 102 due to a large area of the lake, and signals of the other internet of things node devices 102 may not cover a lake center part region, the mobile internet of things node device 103 located at the lake center position cannot communicate with the internet of things node device 102 and cannot upload the acquired water body indexes to the internet of things node device 102, at this time, the mobile internet of things node device 103 located at the lake center position can transmit the acquired water body indexes to the other mobile internet of mobile internet of things node devices 103 adjacent thereto, and the mobile internet of mobile internet of things node devices 103 can upload the acquired water body indexes to the other mobile internet of things node devices 103 to other mobile internet of internet things node devices 103 adjacent mobile internet of the mobile internet of internet things node devices 103, so that the mobile internet of mobile internet things node devices 103 and the mobile internet of internet things node devices 103 are connected internet of the mobile internet of internet things node devices 103, and the mobile internet things node devices , and the mobile internet of internet things node devices 103, when the mobile internet things node devices connected internet.
Fig. 2 is a schematic functional structure diagram of a mobile internet of things node device of an urban water monitoring node internet of things network according to embodiment of the present application, fig. 3 is a schematic structural diagram of a mobile internet of things node device of an urban water monitoring node internet of things network according to embodiment of the present application, in this embodiment, the mobile internet of things node device 103 includes:
a water body monitoring unit 1031, an internet of things communication unit 1032, a motion control unit 1033, and a GPS positioning unit 1034.
The water monitoring unit 1031 is integrated with a plurality of sensors for collecting water indexes of different types. Specifically, the sensors integrated on the movable internet of things node device 103 comprise a water quality sensor 10311, a temperature sensor 10312 and a flow rate sensor 10313; the water quality sensor 10311 is used for collecting water quality data in a water area where the movable internet of things node equipment is located, the temperature sensor 10312 is used for collecting water temperature data in the water area where the movable internet of things node equipment is located, and the flow rate sensor 10313 is used for collecting the water flow speed in the water area where the movable internet of things node equipment is located.
The internet of things communication unit 1032 is used for uploading the water body index to the corresponding internet of things base station 102 or sending the water body index to other movable internet of things node equipment. In this embodiment, the internet of things communication unit 1032 includes a communication antenna 10321, and the communication antenna 10321 is configured to receive an internet of things signal.
The motion control unit 1033 is configured to control the mobile internet of things node device to move in the water body. Specifically, the motion control unit 1033 includes a controller 10332, and a power propeller 10331 and a direction adjustment mechanism 10333 connected to the controller 10332. The power propeller 10331 is used for providing power for the movement of the movable internet of things node equipment 103 in the water body, the direction adjusting mechanism 10333 is used for controlling the movement direction of the movable internet of things node equipment 103 in the water body, and the controller 10332 is used for controlling the power propeller 10331 and the direction adjusting mechanism 10333. More specifically, the controller 10332 is configured to control the power propeller 10331 and the direction adjustment mechanism 10333 according to the water flow speed of the water body region where the mobile internet of things node device 103 is located, which is acquired by the flow speed sensor 10313, so that the mobile internet of things node device 103 moves in the water body region. Moreover, the controller 10332 receives a moving instruction issued by the water cloud platform 101 through the internet of things communication unit 1032, and moves according to the direction and distance indicated by the moving instruction.
The GPS positioning unit 1034 is configured to position the current location of the mobile internet of things node device. After the current position of the movable node equipment of the internet of things is determined, the water body indexes acquired by the movable node equipment of the internet of things can be started up corresponding to the position of the movable node equipment of the internet of things, and then the area in the water body corresponding to the water body indexes is determined. And the coordinates of the current position and the water body indexes are bound and uploaded together.
In addition, in this embodiment, the mobile internet of things node device 103 may further include: and the buoyancy plate is used for connecting and fixing the water body monitoring unit 1031, the internet of things communication unit 1032, the motion control unit 1033 and the GPS positioning unit 1034. This buoyancy board can set up to the ship shape, is favorable to the autonomic removal of portable thing networking node equipment 103.
The urban water monitoring node Internet of things network can reasonably distribute the movable Internet of things node devices, and meanwhile dynamic autonomous adjustment can be carried out on monitoring positions of the movable Internet of things node devices according to changes of water indexes, so that collected water quality monitoring data are more accurate.
Fig. 4 is a flowchart of an ad hoc method of urban water monitoring nodes according to a second embodiment of the present application. The self-organization method of the urban water monitoring node of the embodiment can comprise the following steps:
s401, in th preset time period, water body indexes collected by all movable Internet of things node devices distributed in the water body are obtained according to preset frequency.
For example, water indexes acquired by all mobile internet of things node devices distributed in a water body are acquired according to the frequency of times per minute within 10 minutes, the water indexes acquired by all the mobile internet of things node devices can be acquired within 10 minutes, the water indexes acquired by the mobile internet of things node devices can be directly uploaded to corresponding internet of things base stations, or uploaded to corresponding internet of things base stations through other mobile internet of things node devices, and then uploaded to a water service cloud platform through the internet of things base stations.
S402, calculating the homogeneity between the mobile Internet of things node equipment and the water body indexes of the mobile Internet of things node equipment with the preset value nearest to the mobile Internet of things node equipment for every mobile Internet of things node equipment, and determining the homogeneity indexes.
In this embodiment, for each mobile internet of things node device, homogeneity indexes between each collected water indexes in the water indexes collected by the mobile internet of things node device and the mobile internet of things node devices with the preset value closest to the mobile internet of things node device are calculated, so that the homogeneity between every two nodes is determined.
For example, assuming that M nearest mobile internet of things node devices are determined for the ith mobile internet of things node device in the water body, the water body index Q (i, j) of the jth mobile internet of things node device (j takes values from 1 to M) among the ith mobile internet of things node device and the M mobile internet of things node devices is:
wherein lt(i) And lt(j) Respectively representing the water body indexes l obtained by the t sampling in the preset time period of t(i) And lt(j) The type of the water quality data, the water temperature data and the water flow speed data is any , T represents the total sampling times in the th preset time period, and still takes the times of sampling every minute in 10 minutes of the th preset time period as an example, T is 10, αtIs the adjustment coefficient corresponding to the t-th sample, αtThe value range of the sampling time interval can be 0.8-1.2, obviously, the influence of the tth sampling in the homogeneity index calculation can be reduced when the value is less than 1, and the influence of the tth sampling can be increased when the value is greater than 1, wherein, when the sampling is restarted in the th preset time period after the self-organization position of the movable Internet of things node equipment is adjusted, the α increases the ttThe value of the node equipment of the movable Internet of things is gradually increased from 0.8 to 1.2, and the adjustment coefficient α is reduced during a plurality of previous sampling because the position adjustment of the node equipment of the movable Internet of things inevitably causes the fluctuation of the surrounding water body and causes the large error of index measurementtWhen the surrounding water body is stable, the water tends to increase αtThe value of the adjustment coefficient may be determined empirically in each sampling.
S403: determining the mean value of the homogeneity indexes between each movable Internet of things node device and the movable Internet of things node devices which are closest to the movable Internet of things node device and have preset values; and further calculating the total average value of the homogeneity indexes of all the movable Internet of things node equipment in the water body.
After the homogeneity index between the movable internet of things node device and the movable internet of things node device closest to the movable internet of things node device with the preset number is determined, the average value of the homogeneity index between each movable internet of things node device and the movable internet of things node device closest to the movable internet of things node device with the preset number can be calculated. As described above, for the ith mobile internet of things node device, the number of homogeneity indexes between every two mobile internet of things node devices, which are closest to the node i, of the node i is M, and then the average value of the homogeneity indexes of the node i is represented as:
furthermore, assuming that the number of nodes in the water body is N, the total average value of the homogeneity indexes of all the movable internet-of-things node devices in the water body is as follows:
s404, if the total average value of the homogeneity indexes of all the movable Internet of things node equipment in the water body is larger than a preset threshold value, selecting a movable Internet of things node equipment node pair serving as an adjusting object from a plurality of movable Internet of things node equipment node pairs according to a preset condition, selecting movable Internet of things node equipment in the movable Internet of things node equipment node pairs serving as the adjusting object, and moving the preset distance in a random direction or a preset direction
If the number of the nodes is more than preset thresholds, the distribution of all node equipment in the water body is not optimized in the whole view, and the homogeneity of the monitoring data is higherIn the case of the index Q (i, J) (where J is 1 to M), N × M homogeneity indexes Q (i, J) are total, J homogeneity indexes Q (i, J) with the largest Q (i, J) value are selected from the J homogeneity indexes, J node device pairs corresponding to the J indexes are determined, these J node device pairs are used as adjustment objects, node devices are selected from each node device pair used as an adjustment object ( node devices may be selected from two nodes of each node device pair, and Q (i) among the node devices with the larger node device may be selected according to the Q (i) values of the two nodes of each node device pair).
Then, the processes S401 to S404 are repeated, and the total average value of the homogeneity indexes of all the movable Internet of things node equipment in the water body is calculated again
If it is notIf the average value of the homogeneity indexes of all the movable Internet of things node equipment is still greater than the preset threshold value, the steps are continuously iterated until the total average value of the homogeneity indexes of all the movable Internet of things node equipment
The total average value of the homogeneity indexes of all the movable Internet of things node equipment in the water body is calculated times according to the monitoring indexes in each preset time period (for example, every 10 minutes)
When in use
If the value is larger than the preset threshold value, the position adjustment of partial nodes is kept until the value is larger than the preset threshold value
The value reaches below the preset threshold value, so that the homogeneity of monitoring data of all movable Internet of things node equipment is reduced on the whole, the difference of water indexes of all monitoring positions is maximized on the whole, and the distribution of the monitoring positions is rationalized.
The steps S401 to S404 may be executed by the water service cloud platform 101, and according to the execution result, the water service cloud platform 101 issues the movement instruction to the movable internet of things node device 103 whose position needs to be adjusted each time, so as to control the movable internet of things node device 103 to adjust the position according to the indicated direction and distance.
For example, assuming that there are 100 movable internet of things node devices in the water body, for movable internet of things node devices (hereinafter referred to as node devices) a, M node devices closest to the node devices are determined, the value of M may be set artificially, for example, 3 node devices B, C and d closest to a distance a are selected, then homogeneity indexes between AB, AC and AD are calculated respectively according to data collected at the same sampling time within 10 minutes, if the homogeneity indexes are larger, it is indicated that the homogeneity indexes are higher, i.e., the two devices are not only closer to each other, but also the collected water quality data, water flow speed data or water flow speed data are closer, such data repetition degree is high, which reflects that there is redundancy in node setting positions, which is not beneficial to understanding of water quality and water quality conditions, thus, traversing all 100 node devices, determining 3 homogeneity indexes of each node device and 3 node devices closest to the node devices, then calculating the average of 3 homogeneity indexes of each node, as the average of homogeneity indexes related to the node, then counting all the average indexes of all 100 node devices, then calculating the average indexes of each node devices, and calculating the average of each node devices closest 3 nodes, and then calculating the average of each node points, if the average of the calculated index of each node devices is larger than the preset average node points, then calculating the preset average of each node points, if the calculated index of each node points is larger than the preset average node points, then calculating the preset average of each node points, then calculating the preset average points is found, if the calculated, then, if the average node points of each node points is larger, then, if the calculated average points of the calculated nodes calculated average points is larger than the preset average points is found, then, the calculated average points of the calculated nodes calculated, if the calculated, then, if the calculated average points of the calculated nodes of each node points of all nodes of each node points is larger than the preset average points of the preset node points of the calculated nodes is found, the calculated nodes of each node points is found, then, the calculated nodes of all nodes is found that the calculated.
According to the self-organization method of the urban water monitoring nodes, the movable Internet of things node devices can be reasonably distributed, and meanwhile, the monitoring positions of the movable Internet of things node devices can be dynamically and autonomously adjusted according to the change of water indexes, so that the collected water quality monitoring data are more accurate.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (8)
- The self-organization method of the urban water monitoring nodes is characterized by comprising the following steps:in th preset time period, acquiring water body indexes collected by all movable Internet of things node equipment distributed in a water body according to preset frequency;calculating the mean square deviation value of water quality data, water temperature data or water flow speed data acquired by each movable Internet of things node devices and the movable Internet of things node devices which are closest to the movable Internet of things node devices and have preset values, and determining the homogeneity index which is in inverse proportion to the mean square deviation value according to the calculated mean square deviation value;determining the mean value of the homogeneity indexes between each movable Internet of things node device and the movable Internet of things node devices which are closest to the movable Internet of things node device and have preset values; further calculating the total average value of the homogeneity indexes of all movable Internet of things node equipment in the water body;if the total average value of the homogeneity indexes is larger than a preset threshold value, selecting a movable Internet of things node equipment node pair serving as an adjusting object from the plurality of movable Internet of things node equipment node pairs according to a preset condition, selecting movable Internet of things node equipment in the movable Internet of things node equipment node pair serving as the adjusting object, and moving for a preset distance in a random direction or a preset direction;and repeating the process until the total average value of the homogeneity indexes is not greater than the preset threshold value.
- The system of city water monitoring node internet of things for realizing the method of claim 1, comprising:the system comprises a water affair cloud platform, a plurality of Internet of things base stations in communication connection with the water affair cloud platform, and a plurality of movable Internet of things node devices in communication connection with each Internet of things base station based on an Internet of things communication protocol;the movable node equipment of the Internet of things is movably distributed in urban water, and is integrated with various sensors for acquiring water indexes of water in the current area and uploading the water indexes to corresponding base stations of the Internet of things;the Internet of things base station is used for receiving water body indexes uploaded by the plurality of mobile Internet of things node devices corresponding to the Internet of things base station, generating a water body index set and uploading the water body index set to the water affair cloud platform;the water affair cloud platform determines the water environment and flood situation of the area corresponding to the base station of the internet of things according to the water index set uploaded by the base station of the internet of things; the movable Internet of things node equipment is used for issuing a movement instruction to the movable Internet of things node equipment by analyzing the water body index set;the movable node equipment of the Internet of things is further used for: and carrying out data transmission with other movable node equipment of the Internet of things, and sending the water body index acquired by the node equipment of the Internet of things to the other movable node equipment of the Internet of things.
- 3. The internet of things system of claim 2, wherein the movable internet of things node device comprises:the system comprises a water body monitoring unit, an Internet of things communication unit and a motion control unit;the water body monitoring unit is integrated with a plurality of sensors and is used for acquiring water body indexes of different types;the Internet of things communication unit is used for uploading water body indexes to corresponding Internet of things base stations or sending the water body indexes to other movable Internet of things node equipment;the motion control unit is used for controlling the movable node equipment of the Internet of things to move in the water body.
- 4. The internet of things system of claim 3, wherein the sensors integrated on the movable internet of things node device comprise a water quality sensor, a temperature sensor and a flow rate sensor;the water quality sensor is used for collecting water quality data in a water area where the movable Internet of things node equipment is located, the temperature sensor is used for collecting water temperature data in the water area where the movable Internet of things node equipment is located, and the flow velocity sensor is used for collecting the water velocity in the water area where the movable Internet of things node equipment is located.
- 5. The internet-of-things system of claim 3, wherein the motion control unit comprises:the device comprises a controller, a power propeller and a direction adjusting mechanism, wherein the power propeller and the direction adjusting mechanism are connected with the controller.
- 6. The internet of things system of claim 5, wherein the controller is configured to:and controlling the power propeller and the direction adjusting mechanism according to the water velocity, collected by the flow velocity sensor, in the water body region where the movable node equipment of the Internet of things is located, so that the movable node equipment of the Internet of things moves in the water body region.
- 7. The internet of things system of claim 3, wherein the movable internet of things node device further comprises:and the GPS positioning unit is used for positioning the current position of the movable node equipment of the Internet of things.
- 8. The internet of things system of claim 7, wherein the movable internet of things node device further comprises:the buoyancy plate is used for connecting and fixing the water body monitoring unit, the Internet of things communication unit, the motion control unit and the GPS positioning unit.
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| CN111756852B (en) * | 2020-06-29 | 2021-05-14 | 上海顺舟智能科技股份有限公司 | Intelligent method, device and system based on cellular communication of Internet of things equipment |
| CN112540161B (en) * | 2020-11-06 | 2022-04-12 | 佛山市禅城区环境监测站 | Unmanned ship water quality monitoring and stationing optimization method |
| CN114338755B (en) * | 2022-03-17 | 2022-07-15 | 泰山学院 | Agricultural information monitoring method and system based on Internet of things and storage medium |
| CN115792158B (en) * | 2022-12-07 | 2023-09-15 | 广东建研环境监测股份有限公司 | Method and device for realizing dynamic water quality monitoring based on Internet of things |
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