CN115994845B - Mountain water treatment supervision method and system based on Internet - Google Patents
Mountain water treatment supervision method and system based on Internet Download PDFInfo
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Abstract
The invention discloses a mountain water treatment supervision method and system based on the Internet; comprising the following steps: step one, acquiring mountain and water data information in real time through a data acquisition module; step two, the mountain and water data information is transmitted to a remote monitoring center through the internet by a data transmission module; step three, the remote monitoring center stores and dynamically analyzes the mountain water data information through a data storage and analysis module, and the mountain water data information parameters are higher than or lower than a risk parameter threshold value, and then the step four is executed; step four, predicting the possibility, the harm degree, the influence range and the emergency degree of karst collapse disasters through an early warning module, and carrying out hierarchical early warning based on the prediction result; the real-time high-precision acquisition of mountain and water data information is realized; and the accuracy of actually measured mountain and water conditions is improved by adopting a K-means and rough set algorithm to set a risk parameter threshold.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a mountain water treatment supervision method and system based on the Internet.
Background
The mountain water Lin Tianhu grass sand is a life community which is interdependent and closely connected, is also a system engineering with strong scientificity, needs to follow the internal rules of an ecological system, reflects the regional characteristics, and is an effective mode in the prior art in pit digging, tree planting, green land and the like during mountain water management and supervision. However, in the mountain water treatment process, how to realize remote supervision and management of the mountain water is a calculation problem to be solved urgently.
In view of the above problems, related technical researches are also performed in the prior art, wherein patent number CN202210658859.6 discloses a mountain and water forest Tian Hu grass comprehensive geological carbon sink monitoring system, and the system firstly builds a mountain and water Lin Tianhu grass life community related element relation in a wind-accumulation sand area based on an ecological niche theory; secondly, carrying out comprehensive configuration of mountain and water Lin Tianhu grass in a sand area where subsidence is exploited, and researching through a scheme, wherein the method comprises the steps of (1) predicting the influence of the subsidence on the terrain; (2) predicting the effect of mining subsidence on groundwater level; and finally, treating according to the following steps: (1) transplanting trees; (2) stripping and utilizing a soil seed bank; (3) pretreatment of the subsided wetland; (4) vegetation recovery; (5) cultivated land development. According to the method, desertification control is improved in a mode of comprehensively configuring the mountain and water Lin Tianhu grass, all ecological elements of the mountain and water Lin Tianhu grass are optimally configured, all ecological elements of the mountain and water Lin Tianhu grass in a treatment area are improved to a certain extent, and improvement of ecological environments of coal mining subsidence areas in aeolian sand areas are promoted. But can not realize remote data information processing of mountain water management supervision through an internet mode. Patent number CN202010451220.1 discloses a water resource allocation method based on water consumption of each system of mountain water Lin Tianhu grass, fully considers the actual water saving concept, based on the characteristics of current water consumption of each system of mountain water forest Tian Hu grass and water balance of each system, adds a water resource allocation module based on water consumption into a WACM4.0 model, can simulate and analyze the water movement and water consumption condition of each system of mountain water Lin Tianhu grass, calculates the water consumption, simulates how to allocate the water consumption under the comprehensive treatment and water saving policy of the mountain water Lin Tianhu grass system so as to maximize social economic benefit and water saving amount, and is helpful for realizing reasonable allocation and actual water saving of water resources. But only saves water, and can not realize remote supervision of data information aiming at the mountain water treatment condition, and the monitoring capability is lagged.
Disclosure of Invention
Aiming at the defects of the technology, the invention discloses a mountain water management supervision method and system based on the Internet, which can realize real-time acquisition and monitoring of mountain water data information, wherein a sensor unit adopts a multi-performance sensor to monitor the amplitude of groundwater level, groundwater flow speed, groundwater chemical characteristics, groundwater turbidity parameters, precipitation, evaporation capacity, river channel water condition, tidal water condition, sand condition or ice condition, so as to realize real-time high-precision acquisition of the mountain water data information; and the accuracy of actually measured mountain and water conditions is improved by adopting a K-means and rough set algorithm to set a risk parameter threshold. The dialogue module is arranged, so that the data information monitoring capability is greatly improved, and the mountain water treatment supervision capability is improved.
In order to solve the technical problems, the invention adopts the following technical scheme:
the mountain water treatment supervision method based on the Internet comprises the following steps:
step one, acquiring mountain and water data information in real time through a data acquisition module;
in the first step, the mountain water data information comprises groundwater level amplitude, groundwater flow speed, groundwater chemical characteristics, groundwater turbidity parameters, precipitation, evaporation capacity, river channel water conditions, tidal water conditions, sand conditions or ice conditions, the data acquisition module is used for acquiring and processing the mountain water data information based on a sensor acquisition system, and the sensor acquisition system comprises a sensor unit, a control unit, a signal conditioning and digital-to-analog conversion unit, a gateway unit and a power supply unit;
Step two, the mountain and water data information is transmitted to a remote monitoring center through the internet by a data transmission module; the remote monitoring center is provided with a dialogue module which interacts with the data acquisition module; the dialogue module is used for improving the control capability of the remote monitoring center;
in the second step, the data transmission module controls a wireless data transmission radio station to transmit data through an STM32107 embedded chip, and the wireless data transmission radio station adopts a frequency division duplex working mode with digital signal processing, digital modulation and demodulation, forward error correction and balanced soft decision functions;
step three, the remote monitoring center stores and dynamically analyzes mountain and water data information through a data storage and analysis module;
in the third step, the data storage and analysis module comprises a data storage unit and a data analysis unit, the data storage unit stores the mountain water data information through a management database SQL Server, the data analysis unit adopts an ARM data processor to evaluate the occurrence risk of karst collapse disasters, the ARM data processor sets a risk parameter threshold value based on data dynamic change and historical data analysis, and the mountain water data information parameter is higher than or lower than the risk parameter threshold value, and then the fourth step is executed;
The remote monitoring center receives mountain and water data information through the Internet network by arranging 24 uninterrupted modules; the 24 uninterrupted module comprises a data filtering module, a network protocol conversion module, a network diagnosis module, a repair module, a visual display module and a monitoring data information output module, wherein the output end of the data filtering module is connected with the input end of the network protocol conversion module, the output end of the network protocol conversion module is connected with the input end of the network diagnosis module, the output end of the network diagnosis module is connected with the input end of the repair module, the output end of the repair module is connected with the input end of the visual display module, and the output end of the visual display module is connected with the input end of the monitoring data information output module; wherein:
the data filtering module comprises a covariance matrix function, and the network protocol conversion module is an ET-61850 protocol conversion module;
the network protocol conversion module comprises a controller, a logic controller connected with the controller, a message overload monitoring module, a logic identification module and an information in-out state judging module;
The network diagnosis module comprises a network protocol conversion mode identification module;
the repair module comprises a self-adaptive adjusting function model and a protocol interface conversion module;
the visual display module comprises a remote wireless communication interface and an instant communication module connected with the remote wireless communication interface;
the monitoring data information output module comprises a shared data interface;
and step four, predicting the possibility, the hazard degree, the influence range and the emergency degree of karst collapse disasters through an early warning module, and carrying out hierarchical early warning based on the prediction result.
As a further aspect of the present invention, the sensor unit includes:
(1) Echo of reflected ultrasonic liquid level sensor echo: the echo Pod is used for monitoring the groundwater level and amplitude, and the echo Pod converts the measured point water level parameter into an electric signal in real time and transmits the electric signal to the control unit;
(2) Water flow sensor YF-S201: the water flow sensor YF-S201 comprises a valve body, a water flow rotor assembly and a Hall sensor, wherein the water flow rotor assembly drives the magnetic rotor to rotate, and the Hall sensor transmits pulse signals to the control unit;
(3) Turbidity sensor TS-300B: the system is used for monitoring the turbidity of the underground water, the turbidity sensor TS-300B monitors the turbidity degree of the underground water through the light transmittance and the scattering rate, the main control unit converts a current signal output by the sensor into a voltage signal, and the voltage signal is subjected to A/D data processing through the STM32107 singlechip;
(4) Annular conductivity water quality sensor TCS3000: the TCS3000 is used for monitoring the ion characteristics and ion concentration in the underground water, the annular conductivity water quality sensor monitors the chemical characteristics of the underground water by adopting a resistance measurement method, and the resistance measurement method realizes ion concentration measurement based on an electrolytic conduction principle.
As a further scheme of the invention, the wireless data transmission radio station realizes radio frequency signal communication of different frequency bands based on a PXI bus system, the PXI bus system comprises a receiving unit, an exciter unit, a power amplification unit, a control unit, a power supply unit and a baseband unit, the wireless data transmission equipment comprises a PXI bus, a zero slot controller, a down converter, a quadrature down converter, a D/A converter and an up converter, and the wireless data transmission equipment adopts a block hardware structure synthesis instrument.
As a further scheme of the invention, when the mountain and water data information is transmitted through the data transmission module, the output function formula of the interference loss result of the communication signal is as follows:
in the case of the formula (1),d18.6lg of the distance from the wireless data transmitting end to the wireless data receiving enddThe amount of signal loss per unit distance for data information transmitted from the wireless data transmitting end to the wireless data receiving end, fElectromagnetic wave received from inside of data transmission module, 20lgfUnit electromagnetic wave interference amount of 41.6lg for data information transmitted from wireless data transmitting end to wireless data receiving endbAs a basis for the amount of communication loss of the path,P loss (B) For the amount of path loss of the communication signal,Ba data information communication signal;
the output function formula of the communication signal loss result caused by shadow fading, rapid failure and communication signal cable loss is as follows:
P r （B）= P t （B）+G t （B） + G T （B）- P 1 （B）-a（2）
in the formula (2) of the present invention, P r （B) In order to receive the minimum level of the power, P t （B) For the power transmitted within the system,G t （B) The gain of the communication antenna for the system transmission,G T （B) For the gain of the communication antenna received by the system,P 1 （B) As the signal loss value of the communication path,aother loss values.
As a further scheme of the invention, the ARM data processor adopts the combination of a K-mean value and a rough set algorithm to set a risk parameter threshold;
the mountain data information and the historical data information are divided into ordered four-element groups S= { P, L, F and H }, wherein P, L, F and H are non-empty finite object sets, the real measurement standard value of the mountain data information is i, the minimum value of an i index in a risk assessment system is 0.1, and the output function expression of a cluster-like average centroid distance average Y is as follows:
In the formula (3), pi is the random selection quantity of the non-empty limited object set P, ρ represents the actual measurement data transmission density of the mountain water data information, fi represents the random selection quantity of the non-empty limited object set F, θ is the mountain water data information measurement parameter matched with the wireless sensor element, L is the non-empty limited object set of the mountain water data information, L represents the random selection quantity of the non-empty limited object set L, and h represents the real-time measurement authority of the mountain water data information;
the real-time detection risk parameter threshold value setting output function formula of the mountain and water data information is as follows:
in the formula (4), y0 represents an initial measurement average value of the cluster-like average centroid distance, yn represents a final measurement average value of the cluster-like average centroid distance, d represents a time sequence arrangement standard value of actual measurement mountain water data information, B (delta) is a mountain water data information detection sequence condition, and a set expression of the mountain water data information detection sequence condition B (delta) is defined as:
in the formula (5), β represents the mountain water display data, δ represents the measured data of the wireless sensor, and P, L, F, H are the non-empty finite object sets of the mountain water data information.
As a further scheme of the invention, the management database SQL Server is used for storing, browsing, editing, inquiring, outputting and modeling the parameters of the mountain and water data information, and the mountain and water data information is input into the management database SQL Server through the main control unit.
As a further scheme of the invention, the ARM data processor is combined with an integrated learning method through a CART algorithm to realize selection variable and parameter estimation affecting karst collapse disasters, the mountain water data information parameter is set as a data set D, the data set D is divided into 4 types according to groundwater water level amplitude, groundwater flow speed, groundwater chemical characteristics and groundwater turbidity, the probability that the mountain water data information parameter belongs to the kth classification is Pk, k=1, 2,3,4, and a keny index output formula of probability distribution is:
in the formula (6), pk is the probability that the mountain and water data information parameter belongs to the kth class, gini (D) is the base index of the probability distribution, and the base index output formula of the data set D is:
in the formula (7), ck is represented inThe number of data belonging to the category k in the data set D is more than or equal to 1 and less than or equal to 4, and the data set D is divided into 4 sub data sets according to the characteristic A
，/>
，/>
，/>
The base-index output formula of (c) is:
dividing a sub-data set into n sub-intervalsA 1 ，A 2 ，...，A n The interval Aj produces the functional expression of the output Cj as:
in the formula (9), cj is the average value of yi corresponding to all xi on the interval Aj, wherein j is more than or equal to 1 and less than or equal to n, xi is the independent variable parameter causing karst collapse disaster, yi is the dependent variable parameter causing karst collapse disaster, and the output function formula of risk loss L is as follows:
In the formula (10), xi is an independent variable parameter causing a karst collapse disaster, and yi is an independent variable parameter causing a karst collapse disaster.
As a further embodiment of the invention, the dialogue module comprises an acquisition communication protocol setting module, an acquisition instruction control module, an instruction transmitting module, an instruction receiving module and an instruction judging module, wherein the acquisition communication protocol setting module is used for setting a data acquisition module to acquire the type of mountain and water data information in real time; the acquisition instruction control module is used for controlling the receiving and transmitting of an acquisition instruction, and the instruction transmitting module is used for transmitting the type of data information acquired by the sensor acquisition system; the instruction receiving module is used for receiving the type of data information collected by the sensor collecting system; the instruction judging module is used for judging whether instruction transmission and receiving are carried out or not and what data information is collected by the sensor collecting system.
As a further embodiment of the invention, the dialogue module comprises an acquisition communication protocol setting module, an acquisition instruction control module, an instruction transmitting module, an instruction receiving module and an instruction judging module, wherein the acquisition communication protocol setting module is used for setting a data acquisition module to acquire the type of mountain and water data information in real time; the acquisition instruction control module is used for controlling the receiving and transmitting of an acquisition instruction, and the instruction transmitting module is used for transmitting the type of data information acquired by the sensor acquisition system; the instruction receiving module is used for receiving the type of data information collected by the sensor collecting system; the instruction judging module is used for judging whether to transmit and receive instructions and what data information is collected by the sensor collecting system as a further embodiment of the invention, and the instruction control formula of the instruction judging module is as follows:
In the formula (11) of the present invention,
representing the command control output of the command determination module,xa command control type of the command determination module is indicated, k is a sensor type, wherein +.>
Represents the data capacity of each acquisition, n represents the number of times data is acquired, +.>
Indicating the effective rate of data acquisition,/->
Representing two picksTime difference of data information is collected, +.>
Representing all data capacity collected, j representing the number of times data information is collected synchronously, +.>
Representing all the data capacity acquired.
The invention also adopts the following technical scheme:
a system for an internet-based mountain water remediation monitoring method, comprising:
the internet information acquisition module is used for acquiring mountain and water data information in real time through the data acquisition module;
the internet data transmission system is used for transmitting the mountain and water data information to the remote monitoring center through the internet by the data transmission module;
the analysis module is used for storing and dynamically analyzing the mountain and water data information through the data storage and analysis module by the remote monitoring center;
the early warning system is used for predicting the possibility, the harm degree, the influence range and the emergency degree of karst collapse disasters through the early warning module and carrying out hierarchical early warning based on the prediction result;
The output end of the Internet information acquisition module is connected with the input end of the Internet data transmission system, the output end of the Internet data transmission system is connected with the input end of the analysis module, and the output end of the analysis module is connected with the input end of the early warning system.
The invention has the positive beneficial effects that compared with the prior art:
the invention can realize real-time acquisition and monitoring of mountain water data information, the sensor unit adopts a multi-performance sensor to monitor the amplitude of groundwater level, the flow speed of groundwater, the chemical characteristics of groundwater, the turbidity parameters of groundwater, precipitation, evaporation capacity, river channel water condition, tidal water condition, sand condition or ice condition, thereby realizing real-time high-precision acquisition of mountain water data information; and the accuracy of actually measured mountain and water conditions is improved by adopting a K-means and rough set algorithm to set a risk parameter threshold.
The invention collects the mountain and water data information of the data collection module in real time by setting a dialogue module comprising a collection communication protocol setting module, a collection instruction control module, an instruction transmitting module, an instruction receiving module and an instruction judging module; the remote data information monitoring capability is greatly improved, and the data acquisition capability is improved in monitoring of groundwater level amplitude, groundwater flow speed, groundwater chemical characteristics, groundwater turbidity parameters, precipitation, evaporation capacity, river channel water conditions, tidal water conditions, sand conditions or ice conditions.
Drawings
For a clearer description of embodiments of the invention or of solutions in the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being evident that the drawings 1 in the description below are only some embodiments of the invention and that other drawings can be obtained, without inventive faculty, by a person skilled in the art from these drawings, in which:
FIG. 1 is a schematic diagram of the overall architecture of an Internet-based mountain water remediation monitoring method and system of the present invention;
FIG. 2 is a schematic diagram of a system architecture of an Internet-based mountain water remediation monitoring method and system of the present invention;
FIG. 3 is a schematic diagram of a data acquisition module architecture in an Internet-based mountainous water remediation monitoring method and system according to the present invention;
fig. 4 is a schematic diagram of an a/D conversion principle architecture in a mountain water management supervision method and system based on the internet.
Fig. 5 is a schematic diagram of a principle of a 24 uninterrupted module in a mountain water treatment supervision method and system based on the internet.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
A mountain water management supervision method and system based on the Internet comprises the following steps:
step one, acquiring mountain and water data information in real time through a data acquisition module;
in the first step, the mountain water data information comprises groundwater level amplitude, groundwater flow speed, groundwater chemical characteristics, groundwater turbidity parameters, precipitation, evaporation capacity, river channel water conditions, tidal water conditions, sand conditions or ice conditions, the data acquisition module is used for acquiring and processing the mountain water data information based on a sensor acquisition system, and the sensor acquisition system comprises a sensor unit, a control unit, a signal conditioning and digital-to-analog conversion unit, a gateway unit and a power supply unit;
step two, the mountain and water data information is transmitted to a remote monitoring center through the internet by a data transmission module; the remote monitoring center is provided with a dialogue module which interacts with the data acquisition module; the dialogue module is used for improving the control capability of the remote monitoring center;
in the second step, the data transmission module controls a wireless data transmission radio station to transmit data through an STM32107 embedded chip, and the wireless data transmission radio station adopts a frequency division duplex working mode with digital signal processing, digital modulation and demodulation, forward error correction and balanced soft decision functions;
Step three, the remote monitoring center stores and dynamically analyzes mountain and water data information through a data storage and analysis module;
in the third step, the data storage and analysis module comprises a data storage unit and a data analysis unit, the data storage unit stores the mountain water data information through a management database SQL Server, the data analysis unit adopts an ARM data processor to evaluate the occurrence risk of karst collapse disasters, the ARM data processor sets a risk parameter threshold value based on data dynamic change and historical data analysis, and the mountain water data information parameter is higher than or lower than the risk parameter threshold value, and then the fourth step is executed;
the remote monitoring center receives mountain and water data information through the Internet network by arranging 24 uninterrupted modules; the 24 uninterrupted module comprises a data filtering module, a network protocol conversion module, a network diagnosis module, a repair module, a visual display module and a monitoring data information output module, wherein the output end of the data filtering module is connected with the input end of the network protocol conversion module, the output end of the network protocol conversion module is connected with the input end of the network diagnosis module, the output end of the network diagnosis module is connected with the input end of the repair module, the output end of the repair module is connected with the input end of the visual display module, and the output end of the visual display module is connected with the input end of the monitoring data information output module; wherein:
The data filtering module comprises a covariance matrix function, and the network protocol conversion module is an ET-61850 protocol conversion module; specifically, the PPI/MPI protocol can be converted into a standard RJ45 industrial Internet network interface, and the protocols comprise Modbus/TCP, OPC-UA and Profinet protocols, so that data acquisition of different data information in the mountain water treatment process is realized.
The network protocol conversion module comprises a controller, a logic controller connected with the controller, a message overload monitoring module, a logic identification module and an information in-out state judging module;
the network diagnosis module comprises a network protocol conversion mode identification module;
the repair module comprises a self-adaptive adjusting function model and a protocol interface conversion module;
the visual display module comprises a remote wireless communication interface and an instant communication module connected with the remote wireless communication interface;
the monitoring data information output module comprises a shared data interface;
and step four, predicting the possibility, the hazard degree, the influence range and the emergency degree of karst collapse disasters through an early warning module, and carrying out hierarchical early warning based on the prediction result.
In the above embodiment, the covariance matrix function calculates the dispersion of two random variables in the transmission process of the network data information in real time by covariance of any two random variables in the network monitoring data information Degree of the degree. The covariance of two random variables reflects how well the two random variables are consistent. For example, the information of different data is detected and expressed in this form
To improve data information communication and monitoring, application capabilities. Wherein X, Y, Z respectively represent different types of data information in the network monitoring data information. In a specific application, the data filtering module includes variances and covariances associated with a plurality of variables. The diagonal elements of the matrix contain the variance of the variables, and the non-diagonal elements contain the covariance between all possible pairs of variables. In this way, the standard error of the network data communication estimate or a function of the estimate is calculated.
In the specific embodiment, when the data of different data information are acquired in the mountain water treatment process, the unmanned aerial vehicle can be adopted to carry the image acquisition module to acquire information of the mountain water condition of different areas, and also the unmanned aerial vehicle group can be adopted to realize the information interaction in the mountain water treatment process by adjusting the flight model and the regional characteristics of different unmanned aerial vehicle groups.
The logic controller is specifically programmed or otherwise laid out via network communication to select which information channels.
The message overload monitoring module is suitable for unmanned aerial vehicles, and improves data communication capacity in order to improve communication efficiency under the condition that unmanned aerial vehicle exists or the condition that internet communication frequency is relatively high. The logic recognition module compares and proportions the data information output by the logic recognition module with the data information such as the set threshold network protocol, so as to improve the data information communication capability.
The information in-out state judging module can be arranged in mobile records or at a network data communication receiving place in a specific embodiment, analyzes signals and states of the mobile vehicle carried in a mountain water treatment supervision area through data information flow values, and judges in-out area states of mobile information flow through signal changes in a set time area. For example, the positioning error threshold, the threshold of the number of boundary points, the width value of each boundary line of the framed polygon area, the boundary of each boundary line and other data information are preset, so as to improve the network data information monitoring capability.
In a specific application of the network protocol conversion mode identification module, for example, data information input into a network is converted and identified through an RTU-CAN gateway, a serial port-to-CAN gateway protocol conversion module and the like, in a specific embodiment, a Modbus master station, a Modbus slave station, a general mode and a custom protocol are supported, and the network protocol conversion mode identification module is compatible with two modes of RTU and ASCII, and has a plurality of flexible configuration using modes and the like. For example, the ModbusRTU-CAN gateway serial port is converted into a CAN gateway protocol conversion module and other different modes are adopted to improve the data calculation and application capability.
The adaptive adjustment function model inputs the predicted data information to the function input terminal, for example, by setting the predicted data information, performs feedback correction on the input data information by information feedback correction, and optimizes the obtained control increment to obtain the optimal control quantity. Meanwhile, a reference model of the adaptive observer is designed by using an actual model of the acquired data information, and the adjustable model detects the data information by using the estimation. This method is suitable for network communication in poor state or according to user selection of data transmission flow to select different data communication modes
And generating a development board bottom layer configuration code by using STM32CubeMX software in a specific embodiment by using the designed model prediction controller and model reference self-adaptive controller, and carrying out algorithm verification on a control algorithm c code generated by Matlab in the STM32 development board. The verification of the data information is realized through the method.
The protocol interface conversion module has poor communication capability of the ModbusRTU-CAN gateway serial port in specific application, for example, and is difficult to meet the current requirements, and in this case, information conversion and interaction are realized through a CAN gateway protocol.
In a specific embodiment, the network protocol conversion module comprises a controller, and a logic controller, a message overload monitoring module, a logic identification module and an information in-out state judging module which are connected with the controller;
in a specific embodiment, the network diagnosis module comprises a network protocol conversion mode identification module; for example, under the control of the main control module, different protocols and standard communication protocols are compared and analyzed to improve the protocol communication recognition capability, when the information in the communication process is consistent with the transmission information, the same communication protocol is output, and when the information in the communication process is inconsistent with the transmission information, the new data information is input again.
The self-adaptive adjusting function model is used for realizing self-adaptive adjustment according to the user demand and the flow characteristics by adjusting the output information flow. The protocol interface conversion module performs data communication conversion according to different protocol types in the communication process through conversion control.
In a specific embodiment, the remote data information interaction is realized by setting a remote wireless communication interface and connecting the remote wireless communication interface with an instant communication module. This mode can be realized by ground data information transmission or airborne data information and setting a remote communication relay.
The shared data interface enables communication of different types of data information, such as through a blockchain interface or an internet interface.
In the above embodiment, the sensor unit includes the following portions:
(1) Echo of reflected ultrasonic liquid level sensor echo: the echo Pod is used for monitoring the groundwater level and amplitude, and the echo Pod converts the measured point water level parameter into an electric signal in real time and transmits the electric signal to the control unit;
(2) Water flow sensor YF-S201: the water flow sensor YF-S201 comprises a valve body, a water flow rotor assembly and a Hall sensor, wherein the water flow rotor assembly drives the magnetic rotor to rotate, and the Hall sensor transmits pulse signals to the control unit;
(3) Turbidity sensor TS-300B: the system is used for monitoring the turbidity of the underground water, the turbidity sensor TS-300B monitors the turbidity degree of the underground water through the light transmittance and the scattering rate, the main control unit converts a current signal output by the sensor into a voltage signal, and the voltage signal is subjected to A/D data processing through the STM32107 singlechip;
(4) Annular conductivity water quality sensor TCS3000: the TCS3000 is used for monitoring the ion characteristics and ion concentration in the underground water, the annular conductivity water quality sensor monitors the chemical characteristics of the underground water by adopting a resistance measurement method, and the resistance measurement method realizes ion concentration measurement based on an electrolytic conduction principle.
In a specific embodiment, firstly, a sensor signal of analog output is conditioned, such as amplified and filtered, then an FPGA samples 4 paths of analog signals by controlling a high-precision analog-to-digital conversion chip AD7616 with 16 bits, the analog signals are converted into digital quantities, meanwhile, the sensors of the 4 paths of output digital quantities are input into a control chip through corresponding conversion so as to realize synchronous sampling, finally, the FPGA carries out corresponding framing on the acquired data and then sends the acquired data to a wireless transmission module or stores the acquired data in a backup storage module, meanwhile, the FPGA judges the acquired sensor data, and when the acquired sensor data reach the respective set threshold value, the threshold value of each sensor is set in a program, and the audible-visual alarm is controlled to start alarming.
In the above embodiment, the wireless data transmission station realizes radio frequency signal communication in different frequency bands based on a PXI bus system, where the PXI bus system includes a receiving unit, an exciter unit, a power amplifying unit, a control unit, a power supply unit and a baseband unit, the wireless data transmission device includes a PXI bus, a zero slot controller, a down converter, a quadrature down converter, a D/a converter and an up converter, and the wireless data transmission device adopts a block hardware structure synthesis instrument.
In specific work, the power supply unit supplies working voltage and current to different modules, and the control unit is connected with the receiving unit, the exciter unit, the power amplification unit, the power supply unit and the baseband unit so as to improve the wireless data information interaction capability.
In a specific embodiment, the wireless data transmission realizes bidirectional, transparent and wireless transmission between the serial device and the server and between the serial device and the serial device through a mobile, communicated and telecommunication 4G/3G/2G communication network, and the wireless data transmission module has the characteristics of simple use, USB/Bluetooth parameter setting, remote maintenance and the like, and can easily develop user monitoring software or dock a third party application platform through cloud platform forwarding, protocol development package, network-to-serial tool and the like.
In the above embodiment, when the mountain and water data information is transmitted through the data transmission module, the output function formula of the result of the interference loss of the communication signal is:
in the case of the formula (1),d18.6lg of the distance from the wireless data transmitting end to the wireless data receiving enddThe amount of signal loss per unit distance for data information transmitted from the wireless data transmitting end to the wireless data receiving end,felectromagnetic wave received from inside of data transmission module, 20lgfUnit electromagnetic wave interference amount of 41.6lg for data information transmitted from wireless data transmitting end to wireless data receiving endbAs a basis for the amount of communication loss of the path,P loss (B) For the amount of path loss of the communication signal,Ba data information communication signal;
the output function formula of the communication signal loss result caused by shadow fading, rapid failure and communication signal cable loss is as follows:
P r （B）= P t （B）+G t （B） + G T （B）- P 1 （B）-a（2）
in the formula (2) of the present invention, P r （B) In order to receive the minimum level of the power, P t （B) For the power transmitted within the system,G t （B) The gain of the communication antenna for the system transmission,G T （B) For the gain of the communication antenna received by the system,P 1 （B) As the signal loss value of the communication path,aother loss values.
In the above embodiment, the ARM data processor sets a risk parameter threshold by combining a K-means value and a rough set algorithm;
The mountain data information and the historical data information are divided into ordered four-element groups S= { P, L, F and H }, wherein P, L, F and H are non-empty finite object sets, the real measurement standard value of the mountain data information is i, the minimum value of an i index in a risk assessment system is 0.1, and the output function expression of a cluster-like average centroid distance average Y is as follows:
in the formula (3), pi is the random selection quantity of the non-empty limited object set P, ρ represents the actual measurement data transmission density of the mountain water data information, fi represents the random selection quantity of the non-empty limited object set F, θ is the mountain water data information measurement parameter matched with the wireless sensor element, L is the non-empty limited object set of the mountain water data information, L represents the random selection quantity of the non-empty limited object set L, and h represents the real-time measurement authority of the mountain water data information;
the real-time detection risk parameter threshold value setting output function formula of the mountain and water data information is as follows:
in the formula (4), y0 represents an initial measurement average value of the cluster-like average centroid distance, yn represents a final measurement average value of the cluster-like average centroid distance, d represents a time sequence arrangement standard value of actual measurement mountain water data information, B (delta) is a mountain water data information detection sequence condition, and a set expression of the mountain water data information detection sequence condition B (delta) is defined as:
In the formula (5), β represents the mountain water display data, δ represents the measured data of the wireless sensor, and P, L, F, H are the non-empty finite object sets of the mountain water data information.
In a specific embodiment, the ARM data processor is provided with a Cortex-X4 series Stm32 chip, the chip is provided with a 32-bit data processor core, a vertical structure is adopted, a transmission instruction and data total protocol of the ARM data processor is mutually independent, 138 pins, 126 GPIO ports, 16 timing and positioning devices and 128 shielding annunciators are arranged, and the assembly is more beneficial to the operation in the aspects of communication, protocol and the like.
In the above embodiment, the management database SQL Server is configured to store, browse, edit, query, output and model parameters of mountain and water data information, where the mountain and water data information is input to the management database SQL Server through a master control unit.
In a specific embodiment, the management database SQL Server is an extensible, high-performance database management system designed for distributed client/Server computing, implementing an organic combination with Window NT.
In the above embodiment, the ARM data processor is configured to implement selection variable and parameter estimation affecting karst collapse disaster by combining a CART algorithm with an ensemble learning method, set the mountain water data information parameter as a data set D, and divide the data set D into 4 classes according to a groundwater level amplitude, a groundwater flow speed, a groundwater chemical characteristic and a groundwater turbidity, where a probability that the mountain water data information parameter belongs to a kth class is Pk, k=1, 2,3,4, and a keni index output formula of probability distribution is:
In the formula (6), pk is the probability that the mountain and water data information parameter belongs to the kth class, gini (D) is the base index of the probability distribution, and the base index output formula of the data set D is:
in the formula (7), ck represents the number of data belonging to the category k in the data set D, 1.ltoreq.k.ltoreq.4, which is divided into 4 sub-data sets according to the feature A
，/>
，/>
，/>
The base-index output formula of (c) is:
dividing a sub-data set into n sub-intervalsA 1 ，A 2 ，...，A n The interval Aj produces the functional expression of the output Cj as:
in the formula (9), cj is the average value of yi corresponding to all xi on the interval Aj, wherein j is more than or equal to 1 and less than or equal to n, xi is the independent variable parameter causing karst collapse disaster, yi is the dependent variable parameter causing karst collapse disaster, and the output function formula of risk loss L is as follows:
in the formula (10), xi is an independent variable parameter causing a karst collapse disaster, and yi is an independent variable parameter causing a karst collapse disaster.
According to the invention, the CART algorithm is improved by combining the CART algorithm with the integrated learning method, a plurality of classification model training is selected, and the prediction results are combined to improve the prediction accuracy and speed of classification problems; the integrated learning obtains generalization remarkably superior to that of a single learner by combining a plurality of base learners, and the base classifier needs to meet two basic conditions; the base classifier has certain performance, at least not worse than the performance of random guess, namely the accuracy of the base classifier is not lower than 50%; and the base learners need to have diversity, namely, the base learners need to have variability and cannot be the same as a plurality of base classifiers.
In a further embodiment, the dialogue module comprises an acquisition communication protocol setting module, an acquisition instruction control module, an instruction transmitting module, an instruction receiving module and an instruction judging module, wherein the acquisition communication protocol setting module is used for setting a data acquisition module to acquire the type of mountain and water data information in real time; the acquisition instruction control module is used for controlling the receiving and transmitting of an acquisition instruction, and the instruction transmitting module is used for transmitting the type of data information acquired by the sensor acquisition system; the instruction receiving module is used for receiving the type of data information collected by the sensor collecting system; the instruction judging module is used for judging whether to transmit and receive instructions and what data information is collected by the sensor collecting system as a further embodiment of the invention, and the instruction control formula of the instruction judging module is as follows:
in the formula (11) of the present invention,
representing the command control output of the command determination module,xa command control type of the command determination module is indicated, k is a sensor type, wherein +.>
Represents the data capacity of each acquisition, n represents the number of times data is acquired, +.>
Indicating the effective rate of data acquisition,/->
Representing the time difference between two acquisitions of data information, < >>
Representing all data capacity collected, j representing the number of times data information is collected synchronously, +. >
Representing all the data capacity acquired.
In a specific embodiment, the dialogue module may be disposed between the remote monitoring center and the data acquisition module by using an intermediate medium, for example, the dialogue module sets a wireless data communication module, acquires a bilateral data information command by using a wireless data communication mode, improves dialogue capability by using an intermediate medium having an acquisition communication protocol setting module, an acquisition command control module, a command transmitting module, a command receiving module and a command determining module, for example, the acquisition communication protocol setting module refers to a working mode of a sensor acquisition type or a field data acquisition module, matches a communication protocol with the acquisition type, performs protocol control by using the command collecting control module, performs command control by using the command determining module, and selects different types of control commands, wherein the command transmitting module and the command receiving module may also perform data information transmission and reception by using a wireless data communication mode. Through the embodiment, the data information acquisition control is further realized, and the data information monitoring capability is greatly improved.
In a further embodiment, a system for an internet-based method of monitoring and controlling water treatment in a mountain, comprises:
The internet information acquisition module is used for acquiring mountain and water data information in real time through the data acquisition module;
the internet data transmission system is used for transmitting the mountain and water data information to the remote monitoring center through the internet by the data transmission module;
the analysis module is used for storing and dynamically analyzing the mountain and water data information through the data storage and analysis module by the remote monitoring center;
the early warning system is used for predicting the possibility, the harm degree, the influence range and the emergency degree of karst collapse disasters through the early warning module and carrying out hierarchical early warning based on the prediction result;
the output end of the Internet information acquisition module is connected with the input end of the Internet data transmission system, the output end of the Internet data transmission system is connected with the input end of the analysis module, and the output end of the analysis module is connected with the input end of the early warning system.
While specific embodiments of the present invention have been described above, it will be understood by those skilled in the art that the foregoing detailed description is given by way of example only, and that various omissions, substitutions and changes in the form of the details of the method and system illustrated may be made by those skilled in the art without departing from the spirit and scope of the invention; for example, it is within the scope of the present invention to combine the above-described method steps to perform substantially the same function in substantially the same way to achieve substantially the same result; accordingly, the scope of the invention is limited only by the following claims.
Claims (1)
1. The mountain water treatment supervision method based on the Internet is characterized by comprising the following steps of: the method comprises the following steps:
step one, acquiring mountain and water data information in real time through a data acquisition module;
in the first step, the mountain water data information comprises groundwater level amplitude, groundwater flow speed, groundwater chemical characteristics, groundwater turbidity parameters, precipitation, evaporation capacity, river channel water conditions, tidal water conditions, sand conditions or ice conditions, the data acquisition module is used for acquiring and processing the mountain water data information based on a sensor acquisition system, and the sensor acquisition system comprises a sensor unit, a control unit, a signal conditioning and digital-to-analog conversion unit, a gateway unit and a power supply unit;
step two, the mountain and water data information is transmitted to a remote monitoring center through the internet by a data transmission module; the remote monitoring center is provided with a dialogue module which interacts with the data acquisition module; the dialogue module is used for improving the control capability of the remote monitoring center;
in the second step, the data transmission module controls a wireless data transmission radio station to transmit data through an STM32107 embedded chip, and the wireless data transmission radio station adopts a frequency division duplex working mode with digital signal processing, digital modulation and demodulation, forward error correction and balanced soft decision functions;
Step three, the remote monitoring center stores and dynamically analyzes mountain and water data information through a data storage and analysis module;
in the third step, the data storage and analysis module comprises a data storage unit and a data analysis unit, the data storage unit stores the mountain water data information through a management database SQL Server, the data analysis unit adopts an ARM data processor to evaluate the occurrence risk of karst collapse disasters, the ARM data processor sets a risk parameter threshold value based on data dynamic change and historical data analysis, and the mountain water data information parameter is higher than or lower than the risk parameter threshold value, and then the fourth step is executed;
the remote monitoring center receives mountain and water data information through the Internet network by arranging 24 uninterrupted modules; the 24 uninterrupted module comprises a data filtering module, a network protocol conversion module, a network diagnosis module, a repair module, a visual display module and a monitoring data information output module, wherein the output end of the data filtering module is connected with the input end of the network protocol conversion module, the output end of the network protocol conversion module is connected with the input end of the network diagnosis module, the output end of the network diagnosis module is connected with the input end of the repair module, the output end of the repair module is connected with the input end of the visual display module, and the output end of the visual display module is connected with the input end of the monitoring data information output module; wherein:
The data filtering module comprises a covariance matrix function, and the network protocol conversion module is an ET-61850 protocol conversion module;
the network protocol conversion module comprises a controller, a logic controller connected with the controller, a message overload monitoring module, a logic identification module and an information in-out state judging module;
the network diagnosis module comprises a network protocol conversion mode identification module;
the repair module comprises a self-adaptive adjusting function model and a protocol interface conversion module;
the visual display module comprises a remote wireless communication interface and an instant communication module connected with the remote wireless communication interface;
the monitoring data information output module comprises a shared data interface;
step four, predicting the possibility, the harm degree, the influence range and the emergency degree of karst collapse disasters through an early warning module, and carrying out hierarchical early warning based on a prediction result;
when data of different data information are acquired in the mountain water treatment process, the unmanned aerial vehicle carrying image acquisition module can be adopted to acquire information of the mountain water conditions of different areas, and the unmanned aerial vehicle can also be adopted to realize information interaction in the mountain water treatment process by adjusting the flight model and the area characteristics of different unmanned aerial vehicle groups;
The logic controller selects information channels specifically through network communication arrangement or layout;
the message overload monitoring module is suitable for unmanned aerial vehicles, and is used for improving the communication efficiency and the data communication capacity under the condition that unmanned aerial vehicle sets exist or the internet communication frequency is relatively high;
the logic identification module compares and proportions the data information output by the logic identification module with the data information such as the set threshold network protocol to improve the data information communication capability;
the information in-out state judging module can be arranged in mobile records or at a network data communication receiving place, analyzes signals and states of the mobile vehicle carried in a mountain water treatment supervision area through data information flow values, and judges the in-out area state of the mobile information flow through signal change in a set time area; for example, presetting a positioning error threshold, a boundary point number threshold, a width value of each boundary line of a framed polygon area, boundaries of each boundary line and other data information to improve the network data information monitoring capability;
the network protocol conversion mode identification module converts and identifies data information input into a network through the RTU-CAN gateway and the serial port-to-CAN gateway protocol conversion module, supports a Modbus master station, a slave station, a general mode and a custom protocol, is compatible with two modes of RTU and ASCII, and has a plurality of flexible configuration and use modes; for example, the ModbusRTU-CAN gateway serial port is converted into a CAN gateway protocol conversion module and other different modes are adopted to improve the data calculation and application capacity;
The self-adaptive adjusting function model inputs the predicted data information into a function input end by setting the predicted data information, performs feedback correction on the input data information through information feedback correction, and optimizes the obtained control increment to obtain the optimal control quantity; meanwhile, a reference model of the self-adaptive observer is designed by using an actual model of the acquired data information, and an adjustable model detects the data information by using estimation;
generating a development board bottom layer configuration code by using STM32CubeMX software by using a model prediction controller and a model reference self-adaptive controller, and performing algorithm verification on a control algorithm c code generated by Matlab in the STM32 development board to realize verification of data information;
the protocol interface conversion module is used for realizing information conversion and interaction through a Controller Area Network (CAN) gateway protocol under the condition that the communication capability of the ModbusRTU-CAN gateway serial port is poor;
the output function formula of the interference loss result of the communication signal when the mountain and water data information is transmitted through the data transmission module is as follows:
in the case of the formula (1),d18.6lg of the distance from the wireless data transmitting end to the wireless data receiving enddThe amount of signal loss per unit distance for data information transmitted from the wireless data transmitting end to the wireless data receiving end, fElectromagnetic wave received from inside of data transmission module, 20lgfUnit electromagnetic wave interference amount of 41.6lg for data information transmitted from wireless data transmitting end to wireless data receiving endbAs a basis for the amount of communication loss of the path,P loss (B) For the amount of path loss of the communication signal,Ba data information communication signal;
the output function formula of the communication signal loss result caused by shadow fading, rapid failure and communication signal cable loss is as follows:
in the formula (2) of the present invention, P r （B) In order to receive the minimum level of the power, P t （B) For the power transmitted within the system,G t （B) The gain of the communication antenna for the system transmission,G T （B) For the gain of the communication antenna received by the system,P 1 （B) As the signal loss value of the communication path,aother loss values;
the ARM data processor adopts the combination of a K-mean value and a rough set algorithm to set a risk parameter threshold;
the mountain data information and the historical data information are divided into ordered four-element groups S= { P, L, F and H }, wherein P, L, F and H are non-empty finite object sets, the real measurement standard value of the mountain data information is i, the minimum value of an i index in a risk assessment system is 0.1, and the output function expression of a cluster-like average centroid distance average Y is as follows:
in the formula (3), pi is the random selection quantity of the non-empty limited object set P, ρ represents the actual measurement data transmission density of the mountain water data information, fi represents the random selection quantity of the non-empty limited object set F, θ is the mountain water data information measurement parameter matched with the wireless sensor element, L is the non-empty limited object set of the mountain water data information, L represents the random selection quantity of the non-empty limited object set L, and h represents the real-time measurement authority of the mountain water data information;
The real-time detection risk parameter threshold value setting output function formula of the mountain and water data information is as follows:
in the formula (4), y0 represents an initial measurement average value of the cluster-like average centroid distance, yn represents a final measurement average value of the cluster-like average centroid distance, d represents a time sequence arrangement standard value of actual measurement mountain water data information, B (delta) is a mountain water data information detection sequence condition, and a set expression of the mountain water data information detection sequence condition B (delta) is defined as:
in the formula (5), beta represents mountain water display data, delta represents measured data of a wireless sensor, and P, L, F and H are non-empty finite object sets of mountain water data information;
the ARM data processor is provided with a Cortex-X4 series Stm32 chip, the chip is provided with a 32-bit data processor core, a vertical structure is adopted, a sending instruction and a data total protocol of the ARM data processor are mutually independent, 138 pins, 126 GPIO ports, 16 timing positioners and 128 shielding annunciators; the sensor unit includes:
the reflection ultrasonic liquid level sensor echo is used for monitoring the groundwater level and amplitude, and the reflection ultrasonic liquid level sensor echo converts the measured point water level parameter into an electric signal in real time and transmits the electric signal to the control unit;
The water flow sensor YF-S201 is used for monitoring the flow rate of groundwater, the water flow sensor YF-S201 comprises a valve body, a water flow rotor assembly and a Hall sensor, the water flow rotor assembly drives the magnetic rotor to rotate, and the Hall sensor transmits pulse signals to the control unit;
the turbidity sensor TS-300B is used for monitoring the turbidity of the underground water, the turbidity sensor TS-300B monitors the turbidity degree of the underground water through the light transmittance and the scattering rate, the main control unit converts a current signal output by the sensor into a voltage signal, and the voltage signal is subjected to A/D data processing through the STM32107 singlechip;
the annular conductivity water quality sensor TCS3000 is used for monitoring the ion characteristics and ion concentration in the underground water, the annular conductivity water quality sensor TCS3000 is used for monitoring the chemical characteristics of the underground water by adopting a resistance measurement method, and the resistance measurement method is used for measuring the ion concentration based on an electrolytic conduction principle; the wireless data transmission radio station realizes radio frequency signal communication of different frequency bands based on a PXI bus system, the PXI bus system comprises a receiving unit, an exciter unit, a power amplification unit, a control unit, a power supply unit and a baseband unit, wireless data transmission equipment comprises a PXI bus, a zero-slot controller, a down-converter, a quadrature down-converter, a D/A converter and an up-converter, and the wireless data transmission equipment adopts a block type hardware structure synthesis instrument;
The management database SQL Server is used for storing, browsing, editing, inquiring, outputting and modeling mountain and water data information parameters, and the mountain and water data information is input into the management database SQL Server through the main control unit; the ARM data processor is used for realizing selection variable and parameter estimation affecting karst collapse disasters by combining a CART algorithm with an integrated learning method, the mountain water data information parameter is set as a data set D, the data set D is divided into 4 types according to groundwater water level amplitude, groundwater flow speed, groundwater chemical characteristics and groundwater turbidity, the probability of the mountain water data information parameter belonging to the kth classification is Pk, k=1, 2,3,4, and the output formula of a base index of probability distribution is:
in the formula (6), pk is the probability that the mountain and water data information parameter belongs to the kth class, gini (D) is the base index of the probability distribution, and the base index output formula of the data set D is:
in the formula (7), ck represents the number of data belonging to the category k in the data set D, 1.ltoreq.k.ltoreq.4, which is divided into 4 sub-data sets according to the feature A
，/>
，/>
，/>
The base-index output formula of (c) is:
dividing a sub-data set into n sub-intervalsA 1 ，A 2 ，...，A n The interval Aj produces the functional expression of the output Cj as:
In the formula (9), cj is the average value of yi corresponding to all xi on the interval Aj, wherein j is more than or equal to 1 and less than or equal to n, xi is the independent variable parameter causing karst collapse disaster, yi is the dependent variable parameter causing karst collapse disaster, and the output function formula of risk loss L is as follows:
in the formula (10) of the present invention,x i in order to create the argument parameters of karst collapse disasters,y i the dependent variable parameters are used for causing karst collapse disasters; the dialogue module comprises an acquisition communication protocol setting module, an acquisition instruction control module, an instruction transmitting module, an instruction receiving module and an instruction judging module, wherein the acquisition communication protocol setting module is used for setting a data acquisition module to acquire the type of mountain and water data information in real time; the acquisition instruction control module is used for controlling the receiving and transmitting of an acquisition instruction, and the instruction transmitting module is used for transmitting the type of data information acquired by the sensor acquisition system; the instruction receiving module is used for receiving the type of data information collected by the sensor collecting system; the instruction judging module is used for judging whether to transmit and receive instructions and what data information is acquired by the sensor acquisition system；
The command control formula of the command judging module is as follows:
in the formula (11) of the present invention,
representing the command control output of the command determination module, xA command control type of the command determination module is indicated, k is a sensor type, wherein +.>
Represents the data capacity of each acquisition, n represents the number of times data is acquired, +.>
Indicating the effective rate of data acquisition,/->
Representing the time difference between two acquisitions of data information, < >>
Representing all data capacity collected, j representing the number of times data information is collected synchronously, +.>
Representing all data capacity acquired;
the internet information acquisition module is used for acquiring mountain and water data information in real time through the data acquisition module;
the internet data transmission system is used for transmitting the mountain and water data information to the remote monitoring center through the internet by the data transmission module;
the analysis module is used for storing and dynamically analyzing the mountain and water data information through the data storage and analysis module by the remote monitoring center;
the early warning system is used for predicting the possibility, the harm degree, the influence range and the emergency degree of karst collapse disasters through the early warning module and carrying out hierarchical early warning based on the prediction result;
the output end of the Internet information acquisition module is connected with the input end of the Internet data transmission system, the output end of the Internet data transmission system is connected with the input end of the analysis module, and the output end of the analysis module is connected with the input end of the early warning system.
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