CN204330412U - Based on many intakes weighting water intake system of wireless sensor network - Google Patents

Abstract

The utility model provides a kind of many intakes based on wireless sensor network weighting water intake system, and this system comprises telegon, self-priming pump, some wireless sensor nodes and proportioning valve; Wireless sensor node is positioned at intake place; In the water intake conduit of proportioning valve between intake and self-priming pump; Self-priming pump controls it by telegon and opens; Each wireless sensor node gathers the current of each intake, water level information and proportioning valve opening and closing angle information by the sensor assembly that it connects; The current of each intake, water level information and proportioning valve opening and closing angle information are sent to telegon by each wireless sensor node simultaneously; Telegon is handled together each information received, and calculates the weighting height of water level of each intake, and feeds back to each wireless sensor node, resize ratio valve opening and closing angle; After adjustment, self-priming pump water intaking opened by telegon; After water intaking, telegon cuts out self-priming pump, orders each wireless sensor node to close proportioning valve.

Description

Multi-water-intake-port weighted water taking system based on wireless sensor network

Technical Field

The utility model relates to a many inlets weighted water intaking system based on wireless sensor network.

Technical Field

A Wireless Sensor Network (WSN) is a leading-edge hotspot research field which is concerned internationally at present and relates to multidisciplinary high-crossing and high-knowledge integration. Advances in sensor technology, micro-electromechanical systems, modern networks, and wireless communications have facilitated the creation and development of modern wireless sensor networks. The wireless sensor network expands the information acquisition capability of people, connects physical information of an objective world with a transmission network, and provides the most direct, most effective and most real information for people in the next generation of network. The wireless sensor network can acquire objective physical information, has very wide application prospect, and can be applied to the fields of military national defense, industrial and agricultural control, city management, biomedical treatment, environmental detection, emergency rescue and relief, remote control of dangerous areas and the like. Has attracted a great deal of attention from the national academia and industry, and is considered to be one of the technologies that have a great impact on the 21 st century.

The wireless sensor network is a multi-hop self-organizing network system formed by a large number of cheap micro sensor nodes deployed in a monitoring area in a wireless communication mode, and aims to sense, collect and process information of a sensed object in a network coverage area in a cooperative manner and send the information to an observer. The sensor, the perception object and the observer constitute three elements of the wireless sensor network.

The water quality monitoring is a process of monitoring and measuring the types of pollutants in the water body, the concentrations and the variation trends of various pollutants and evaluating the water quality condition. Further, measurement of the flow velocity and the flow rate is sometimes required. With the modern development of our country, fresh water resources are more and more scarce, so that the problem of resource water shortage in China is increasingly serious, the problem of water pollution causes water shortage in China, and in order to effectively know the water quality condition in time, the water quality online monitoring device is gradually developed in our country from the 20 th century and the 70 th century, and a corresponding automatic water quality monitoring station is established in practice.

The water taking stage is used as a first link of the whole online monitoring system, and becomes a key for judging whether the detection precision of the whole online monitoring system reaches the standard. At present, a water taking system of an online monitoring system adopted by an automatic water quality monitoring station uses a single water taking port to take water from a certain water area, and when the water flow speed is low or the cross-section flow is low, the water quality and the water level change condition cannot be quickly and accurately known. In some cases, when water in a certain water area is not circulated any more or the water level is low, the problem of difficulty in taking water is still existed, the problem is difficult to be found in the first time, the problems can seriously affect the overall accuracy of local water quality monitoring, and unnecessary economic loss is caused to a certain extent. In addition, the existing terminal equipment cannot be dynamically dormant according to the change condition of water quality, for example, when a certain water intake equipment fails, the equipment cannot be shut down in time, and the running energy consumption is large. Therefore, it is very important to develop a convenient, efficient and energy-saving water taking method.

SUMMERY OF THE UTILITY MODEL

The utility model aims to overcome the defect that water intaking stage exists among the water quality monitoring system and the many intake weighting water intaking system based on wireless sensor network that provides, this system utilizes the wireless sensor technique to acquire the water level and the flow information of each intake microenvironment in real time to calculate the water intaking ratio at each intake.

In order to achieve the above purpose, the utility model adopts the following technical scheme:

a wireless sensor network-based multi-water-intake-port weighted water taking system comprises a coordinator, a self-sucking pump, a plurality of wireless sensor nodes and a proportional valve; the wireless sensor node is positioned at the water intake; the proportional valve is positioned in a water intake pipeline between the water intake and the self-sucking pump; the self-priming pump is controlled by the coordinator to be in an opening state;

one-to-many communication is carried out between the coordinator and the wireless sensor nodes of the water taking ports;

each wireless sensor node collects water flow and water level information of each water intake and opening and closing angle information of the proportional valve through a sensor module connected with the wireless sensor node; meanwhile, each wireless sensor node sends water flow and water level information of each water intake and opening and closing angle information of the proportional valve to the coordinator;

the coordinator processes the received water flow and water level information of each water intake and the opening and closing angle information of the proportional valve together, calculates the weighted water level height of each water intake, feeds the weighted height information of each water intake back to each wireless sensor node, and further adjusts the opening and closing angle of the proportional valve; after the adjustment is finished, the coordinator receives the command of successful adjustment and then starts the self-priming pump to take water; after water taking is finished, the coordinator sends a command to close the self-priming pump and sends a command to close the proportional valve to each wireless sensor node.

The system further comprises a server PC which is in one-to-one communication with the coordinator via RS 232.

The wireless sensor node comprises a microcontroller module, a sensor module, a radio frequency module and a power supply module, wherein the microcontroller and the radio frequency module are communicated with each other through an SPI (serial peripheral interface) communication interface; the microcontroller is also provided with a programming interface, and the power supply module is a power supply module.

The wireless sensor nodes at the water intake are powered by batteries.

And the topological structure between each wireless sensor node and the coordinator adopts a star network topological mode to construct the ad hoc wireless sensor network.

The protocol stack of the constructed ad hoc wireless sensor network conforms to the IEEE802.15.4 standard, and the protocol format of the network layer conforms to the Zigbee standard.

A water taking method of a multi-water-taking-port weighted water taking system based on a wireless sensor network comprises the following steps:

step 1: arranging a plurality of water taking ports at different positions in the same water area, arranging wireless sensor nodes at each water taking port, and simultaneously collecting water flow and water level information and opening and closing angle information of a proportional valve at each water taking port;

step 2: the wireless sensor node acquires all parameters of the water intake and transmits the parameters to a coordinator node located in a monitoring station in a wireless mode, and the coordinator carries out summary calculation on water flow and water level information and opening and closing angle information of the proportional valve at all the water intake;

and step 3: the coordinator transmits the water taking information to a monitoring station server PC through RS232 communication, wherein the water taking information comprises water level conditions of water taking ports, opening and closing angles of proportional valves and water taking flow; the monitoring station server PC stores the water getting information into a database;

and 4, step 4: the coordinator calculates the weighted water level height of each water intake by adopting a weight convergence algorithm according to the acquired water flow and water level information of each water intake and the opening and closing angle information of the proportional valve, and simultaneously feeds the weighted height information of each water intake back to each wireless sensor node;

and 5: after the wireless sensor nodes receive information transmitted by the coordinator, the opening and closing angles of the proportional valves at the water taking ports are adjusted, and after the adjustment is finished, the coordinator receives an adjustment success command and then starts a self-priming pump to take water;

step 6: and after the water taking is finished, the coordinator sends a command to close the self-priming pump and sends a command to close the proportional valve to each wireless sensor node, and the water taking process is finished.

The specific process of calculating the weighted water level height of the water intake by the weighted convergence algorithm in the step 4 is as follows:

is provided with h_i(t) represents the measured height of the sensor module to the ith water intake; h is_j(t) represents the actually measured height of the sensor module to the jth water intake; h is_s(t) represents the measured height of the sensor module to the s-th water intake;the weighted water level height of the ith water intake at the current sampling moment;the weighted water level height of the jth water intake at the current sampling moment;the weighted water level height of the s water intake at the current sampling moment; lambda [ alpha ]_j(t) is a real-time weighting factor; n ═ 1,2.. n; n ═ 1,2.. n;

then the weighted water level height of the ith intake at the next sampling timeCan be obtained using the following formula:

${\hat{h}}_i(t+1)=h_i\left(t\right)-\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{\λ}}_j\left(t\right)|{\hat{h}}_i\left(t\right)-{\hat{h}}_j\left(t\right)|$

wherein,

${\mathrm{\λ}}_j\left(t\right)=\frac{P_j\left(t\right)}{\underset{s=1}{\overset{n}{\mathrm{\Σ}}}{P}_s\left(t\right)}$

$P_s\left(t\right)={|h_s\left(t\right)-{\hat{h}}_s\left(t\right)|}^2$

$P_j\left(t\right)={|h_j\left(t\right)-{\hat{h}}_j\left(t\right)|}^2.$

opening and closing angle theta of proportional valve in step 5_iThe control is performed by the following formula,

${\mathrm{\θ}}_i(t+1)=f_i({\hat{h}}_i(t+1),{\mathrm{\θ}}_i\left(t\right),l_i\left(t\right)),i=1,...n$

wherein f is_i(. a) is a variable θ_i(t)、l_i(t)、A function of (a); n is the total number of water intakes; theta_i(t) represents the proportional valve angle of the ith intake at the current sampling time; l_i(t) represents the flow rate of water at the ith intake at the current moment;the weighted water level height of the ith water intake at the next sampling moment.

The utility model has the advantages that:

(1) the wireless sensor node is powered by a battery, and has the characteristics of small volume, convenience in installation, strong damage resistance and the like;

(2) because the communication traffic between each wireless sensor node and the coordinator is small, a star network topology mode awakened when in demand is adopted, each wireless sensor node is awakened by the coordinator when in monitoring, otherwise, the wireless sensor nodes work in a sleep state so as to save the power consumption of the sensor nodes;

(3) proportional water taking can be carried out according to the difference of water levels at all positions of a monitored water area, so that the reduction of the water quality monitoring precision caused by over-low water level or the economic loss caused by energy waste caused by monitoring dead water is reduced to the minimum;

(4) by adopting the advanced embedded computing technology, the modern network and the wireless communication technology, the sensing parameters of the microenvironment of the water area can be collected under the condition that no additional wired network is erected, and the real-time and intelligentization of water quality monitoring is realized.

Drawings

Fig. 1 is a schematic structural view of the present invention;

fig. 2 is a hardware structure diagram of a wireless sensor node.

Detailed Description

The following detailed description is to be read in conjunction with the appended drawings:

as shown in fig. 1, a wireless sensor network-based multi-intake weighted water intake system is composed of a server PC, a coordinator, a self-priming pump, a plurality of proportional valves and a plurality of wireless sensor nodes; the proportional valve is positioned in the water taking pipeline; the wireless sensor node is positioned at the water intake; the self-priming pump is controlled by the coordinator to be in an opening state;

the wireless sensor node A is arranged at the water intake A, and a proportional valve A is also arranged in a pipeline of the water intake A; a wireless sensor node B is arranged at the water intake B, and a proportional valve B is also arranged in a pipeline of the water intake B; a wireless sensor node C is arranged at the water intake C, and a proportional valve C is also arranged in a pipeline of the water intake C; a wireless sensor node D is arranged at the water intake D, and a proportional valve D is also arranged in a pipeline of the water intake D;

the coordinator is respectively communicated with a wireless sensor node A at a water intake A, a wireless sensor node B at a water intake B, a wireless sensor node C at a water intake C and a wireless sensor node D at a water intake D;

the wireless sensor node A acquires water flow and water level information of a water intake A and opening and closing angle information of a proportional valve through a sensor module connected with the wireless sensor node A; meanwhile, the wireless sensor node A sends the water flow and water level information of a water intake and the opening and closing angle information of the proportional valve to the coordinator; the wireless sensor nodes of the water intake B, the water intake C and the water intake D are consistent with the working principle of the water intake A.

As shown in fig. 2, the wireless sensor node includes a microcontroller module, a sensor module, a radio frequency module, and a power supply module, where the microcontroller and the radio frequency module communicate with each other through an SPI communication interface; the microcontroller is also provided with a programming interface, and the power supply module provides electric energy for the wireless sensor node.

The microcontroller module in the wireless sensor node of the utility model selects PIC24FJ64GA002 chips of PIC24 series produced by American Microchip company; the PIC24FJ64GA002 chip adopts a JTAG interface, can write a program into the microcontroller through the simulator, and carries out program debugging, observation of the running state of the program and searching for the BUG of the program; a radio frequency module in the wireless sensor node adopts a CC2500 radio frequency communication module; by utilizing an SPI communication interface in the wireless sensor nodes, the microcontroller can access and control a basic register of the radio frequency unit CC2500, send various working instructions, write in sending data, read receiving data and the like, and network communication among the sensor nodes is realized; the sensor module comprises a liquid level sensor and a water flow sensor, and the acquired liquid level and water flow information of the microenvironment is temporarily stored in the microprocessor through the A/D conversion interface connected to the microcontroller; the power supply unit supplies power to the system, and the power supply voltage is 3.3V.

The utility model discloses well sensor node utilizes wireless sensor network technology to design a WSN network sensor node of low cost, low-power consumption, has realized data acquisition, communication and processing function. The hardware and software of the sensor nodes are designed with low power consumption, so that the sensor network has a long life cycle under limited energy. Meanwhile, the sensor node also utilizes the design idea of the operating system, and the stability, reliability and expansibility of the system are improved. In the system, the sensor nodes are powered by the battery, and the system has the characteristics of small volume, convenience in installation, strong damage prevention capability and the like.

The coordinator of the utility model communicates with the sensor nodes of each water intake in a one-to-many way in a wireless way, forms a star-shaped network structure to receive the information of the sensor nodes and issues a valve opening angle control command; and the coordinator and the PC carry out one-to-one communication through RS232, and the gathered water level information of the positions of the sensor nodes is uploaded to a monitoring station server PC for recording and analysis.

A water taking method of a multi-water-taking-port weighted water taking system based on a wireless sensor network comprises the following steps:

step 1: arranging a plurality of water taking ports at different positions in the same water area, arranging wireless sensor nodes at each water taking port, and simultaneously collecting water flow and water level information and opening and closing angle information of a proportional valve at each water taking port;

step 2: the wireless sensor node acquires all parameters of the water intake and transmits the parameters to a coordinator node located in a monitoring station in a wireless mode, and the coordinator carries out summary calculation on water flow and water level information and opening and closing angle information of the proportional valve at all the water intake;

and step 3: the coordinator transmits the water taking information to a monitoring station server PC through RS232 communication, wherein the water taking information comprises water level conditions of water taking ports, opening and closing angles of proportional valves and water taking flow; the monitoring station server PC stores the water getting information into a database;

and 4, step 4: the coordinator calculates the weighted water level height of each water intake by adopting a weight convergence algorithm according to the acquired water flow and water level information of each water intake and the opening and closing angle information of the proportional valve, and simultaneously feeds the weighted height information of each water intake back to each wireless sensor node;

and 5: after the wireless sensor nodes receive information transmitted by the coordinator, the opening and closing angles of the proportional valves at the water taking ports are adjusted, and after the adjustment is finished, the coordinator receives an adjustment success command and then starts a self-priming pump to take water;

step 6: and after the water taking is finished, the coordinator sends a command to close the self-priming pump and sends a command to close the proportional valve to each wireless sensor node, and the water taking process is finished.

The specific process of calculating the weighted water level height of the water intake by the weighted convergence algorithm in the step 4 is as follows:

is provided with h_i(t) represents the measured height of the sensor module to the ith water intake; h is_j(t) represents the actually measured height of the sensor module to the jth water intake; h is_s(t) represents the measured height of the sensor module to the s-th water intake;the weighted water level height of the ith water intake at the current sampling moment;the weighted water level height of the jth water intake at the current sampling moment;the weighted water level height of the s water intake at the current sampling moment; lambda [ alpha ]_j(t) is a real-time weighting factor; n ═ 1,2.. n; n ═ 1,2.. n;

then the weighted water level height of the ith intake at the next sampling timeCan be obtained using the following formula:

${\hat{h}}_i(t+1)=h_i\left(t\right)-\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{\λ}}_j\left(t\right)|{\hat{h}}_i\left(t\right)-{\hat{h}}_j\left(t\right)|$

wherein,

${\mathrm{\λ}}_j\left(t\right)=\frac{P_j\left(t\right)}{\underset{s=1}{\overset{n}{\mathrm{\Σ}}}{P}_s\left(t\right)}$

$P_s\left(t\right)={|h_s\left(t\right)-{\hat{h}}_s\left(t\right)|}^2$

$P_j\left(t\right)={|h_j\left(t\right)-{\hat{h}}_j\left(t\right)|}^2.$

the opening and closing angle theta of the proportional valve in the step 5_iThe control is performed by the following formula,

${\mathrm{\θ}}_i(t+1)=f_i({\hat{h}}_i(t+1),{\mathrm{\θ}}_i\left(t\right),l_i\left(t\right)),i=1,...n$

wherein f is_i(. a) is a variable θ_i(t)、l_i(t)、A function of (a); n is the total number of water intakes; theta_i(t) represents the proportional valve angle of the ith intake at the current sampling time; l_i(t) represents the flow rate of water at the ith intake at the current moment;the weighted water level height of the ith water intake at the next sampling moment.

Claims (6)

1. A wireless sensor network-based multi-water-intake-port weighted water taking system is characterized by comprising a coordinator, a self-sucking pump, a plurality of wireless sensor nodes and a proportional valve; the wireless sensor node is positioned at the water intake; the proportional valve is positioned in a water intake pipeline between the water intake and the self-sucking pump; the self-priming pump is controlled by the coordinator to be in an opening state;

one-to-many communication is carried out between the coordinator and the wireless sensor nodes of the water taking ports;

each wireless sensor node collects water flow and water level information of each water intake and opening and closing angle information of the proportional valve through a sensor module connected with the wireless sensor node; meanwhile, each wireless sensor node sends water flow and water level information of each water intake and opening and closing angle information of the proportional valve to the coordinator;

the coordinator processes the received water flow and water level information of each water intake and the opening and closing angle information of the proportional valve together, calculates the weighted water level height of each water intake, feeds the weighted height information of each water intake back to each wireless sensor node, and further adjusts the opening and closing angle of the proportional valve; after the adjustment is finished, the coordinator receives the command of successful adjustment and then starts the self-priming pump to take water; after water taking is finished, the coordinator sends a command to close the self-priming pump and sends a command to close the proportional valve to each wireless sensor node.

2. The wireless sensor network-based multi-intake weighted water intake system of claim 1, further comprising a server PC, wherein the server PC is in one-to-one communication with the coordinator via RS 232.

3. The wireless sensor network-based multi-water-intake weighted water taking system as claimed in claim 1, wherein the wireless sensor node comprises a microcontroller module, a sensor module, a radio frequency module and a power supply module, and the microcontroller and the radio frequency module are communicated with each other through an SPI communication interface; the microcontroller is also provided with a programming interface, and the power supply module is a power supply module.

4. The wireless sensor network-based multiple-intake-port weighted water intake system according to claim 1, wherein the intake port wireless sensor nodes are battery-powered.

5. The wireless sensor network-based multi-intake weighted water intake system as claimed in claim 1, wherein the topology between each wireless sensor node and the coordinator adopts a star network topology mode to construct an ad hoc wireless sensor network.

6. The wireless sensor network-based multi-water-intake-port weighted water taking system as claimed in claim 5, wherein the protocol stack of the ad hoc wireless sensor network conforms to the IEEE802.15.4 standard, and the protocol format of the network layer conforms to the Zigbee standard.