CN115348297A - Intelligent analysis processing system of ecological environment improvement restoration mode - Google Patents
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Abstract
The invention discloses an intelligent analysis processing system of an ecological environment management and restoration mode, which relates to the technical field of measurement and solves the technical problem of intelligent analysis and processing of the ecological environment management and restoration mode; the ecological environment data processing module is used for processing the information of the obtained ecological environment data; the ecological environment data analysis module is used for analyzing ecological environment data information; the ecological environment data output module is used for outputting ecological environment data information; the ecological environment data display module is used for displaying ecological environment data information; the invention greatly improves the intelligent analysis and processing capacity of the ecological environment treatment and restoration mode.
Description
Technical Field
The invention relates to the technical field of measurement, in particular to an intelligent analysis and processing system for an ecological environment management and restoration mode.
Background
The karst collapse cause mechanism is complex, so that the accuracy of identification and monitoring early warning is low, the prevention and control difficulty is high, and the method becomes a difficult point for preventing and controlling geological disasters at home and abroad.
Therefore, how to research the cause mechanism of the karst collapse geological disaster, evaluate risks, prevent and control disasters, monitor, pre-alarm and forecast and the like becomes a technical problem to be solved urgently, the ecological environment improvement and restoration method in the prior art is lagged behind, the intelligent analysis capability is weak, and the intellectualization or the intelligent analysis of the ecological environment improvement and restoration method cannot be realized.
Disclosure of Invention
Aiming at the defects of the technology, the invention discloses an intelligent analysis and treatment system of an ecological environment management and restoration method, which can greatly improve the ecological environment management and restoration method and can perform intelligent analysis and treatment.
The invention adopts the following technical scheme:
an intelligent analysis processing system of ecological environment improvement repair method, wherein includes:
the ecological environment data acquisition module acquires new ecological environment data information from different angles;
the ecological environment data processing module is used for processing the information of the obtained ecological environment data;
the ecological environment data analysis module is used for analyzing ecological environment data information;
the ecological environment data output module is used for outputting ecological environment data information;
the ecological environment data display module is used for displaying ecological environment data information;
the ecological environment data processing module is respectively connected with the ecological environment data acquisition module, the ecological environment data analysis module, the ecological environment data output module and the ecological environment data display module.
As a further technical scheme of the invention, the ecological environment data acquisition module comprises a CC2530 main control module and a sampling convolution sub-module connected with the CC2530 main control module.
As a further technical scheme of the invention, the sampling convolution sub-module comprises an ecological data filter and a classifier.
As a further technical scheme of the invention, the ecological environment data processing module comprises a data classification module, a parameter setting module and an MMAS algorithm processing module, wherein the output end of the data classification module is connected with the input end of the parameter setting module, and the output end of the parameter setting module is connected with the input end of the MMAS algorithm processing module.
As a further technical scheme of the invention, the processing method of the MMAS algorithm processing module comprises the following steps:
recording different ecological environment management data information as ant information elements, and initializing an MMAS algorithm model;
step two, setting different ecological environment governing data information in analyzing the movement track in the ecological environment, wherein the movement track updating method is carried out through the following functions:
in the formula (1), the first and second groups,
a pheromone that indicates an update of information,
an ant element representing the update of the information,
the time for releasing the pheromone by updating the ant element is shown,
represents the most suitable ant element when releasing pheromone;
the difference value of the most suitable ant elements released by the ant elements in different time periods in the ecological environment treatment and restoration analysis process is as follows:
in the formula (2), the first and second groups,
the optimal solution is output in the continuous iterative computation process or the global optimal solution value is output in the continuous search process;
step three: set maximum and minimum limits, assuming
Between
And
after each time the ant element updates the information, the method is implemented
In the case of (2), the two values are taken in the same form, i.e. they take the same form
；
Step four: and smoothing the ant element pheromone track, wherein the smoothing function is as follows:
in the formula (3), the first and second groups,
is between 0 and 1 and is,
the pheromone track quantity when the ant element is subjected to smoothing treatment,
smoothing the pheromone trace amount of the ant elements;
step five: and classifying different information elements, wherein the adopted classification algorithm is a decision tree similarity matrix.
As a further technical scheme of the invention, the ecological environment data analysis module comprises an STM32 processor taking embedded Cortex-M3 as a core, and a communication circuit module, an amplifying circuit module and a calculating module which are connected with the processor, wherein the output end of the communication circuit module is connected with the input end of the amplifying circuit module, and the output end of the amplifying circuit module is connected with the input end of the calculating module.
As a further technical scheme of the invention, the working method of the computing module comprises the following steps:
calculating abnormal indexes in the whole ecological environment management data transmission process through a big data function, wherein a performance output function is as follows:
in the formula (4), the first and second groups,
the transmission performance of the ecological environment management data information management platform is shown,
a track function representing the change in the ecological environment treatment process,
representing the prediction of the change rule of the ecological environment treatment information data,
representing the optimal data change performance of the ecological environment treatment data information;
according to the ecological environment management, the whole ecological environment management data dynamic function is recorded as:
in the formula (5), the first and second groups of the chemical reaction materials are selected from the group consisting of,
representing the identification quantity of abnormal information in ecological environment treatment,
the phase difference value in the ecological environment treatment and restoration process is shown,
the data amount for maintaining ecological environment governing stable compensation is shown,
the information change margin of ecological environment management is shown,
representing the data information conversion amount in the ecological environment control process;
the dynamic trajectory function for ecological environment improvement analysis is expressed as:
in the formula (6), the first and second groups of the compound,
represents the minimum fluctuation quantity of ecological environment management information transmission,
a buffer amount indicating a management fluctuation of the data information,
representing the change rule function of the ecological environment management information data,
the total amount of the ecological environment management information is shown,
representing the batch transportation volume of the ecological environment management information,
a partition attribute representing the corrected ecological environment management information;
substituting the data volume of the ecological environment management information of actual operation into calculation according to the dynamic change track of the ecological environment management to obtain a change rule function as follows:
in the formula (7), the first and second groups,
the batch number of the ecological environment improvement information transportation is represented,
representing the change of the ecological environment management information management data weight;
deducing the influence degree of total data of ecological environment management information sampling on network fluctuation buffering through an ecological environment management information abnormity identification algorithm, namely:
in the formula (8), the first and second groups of the chemical reaction are shown in the specification,
represents the amount of ecological environment management information input into the algorithm program,
indicating that the data transmission standard of the ecological environment improvement information is allowed,
representing the dividing times of ecological environment treatment information transmission;
due to the fluctuation of the ecological environment management information management platform network, the change track of the ecological environment management information caused during the buffering period is expressed as:
in the formula (9), the first and second groups,
showing the change proportion of the initial ecological environment treatment information,
showing the change ratio of the ecological environment treatment information in the buffering period,
representing the changed ecological environment treatment information feedback constraint conditions;
the total function of the affected ecological environment treatment information data is as follows:
in the formula (10), the first and second groups,
representing the change track of the ecological environment management information data when no fluctuation exists,
representing the change track of the ecological environment treatment information data during the fluctuation,
indicating that the affected data is in the absence of fluctuations,
indicating the affected data within the surge buffering time.
As a further technical scheme of the invention, the ecological environment data output module is provided with a compatible data interface.
As a further technical scheme of the invention, the ecological environment data display module is an LED display screen.
The invention has the following positive beneficial effects:
the system analyzes or mines the data attribute in the ecological environment from the data information by acquiring the ecological environment in real time and further refining the characteristics of ecological environment treatment data information from the acquired data information, and comprises an ecological environment data acquisition module, a data analysis module and a data analysis module, wherein the ecological environment data acquisition module acquires new ecological environment data information from different angles; the ecological environment data processing module is used for processing the information of the obtained ecological environment data; the ecological environment data analysis module is used for analyzing ecological environment data information; the ecological environment data output module is used for outputting ecological environment data information; the ecological environment data display module is used for displaying ecological environment data information; the invention greatly improves the intelligent analysis and processing capacity of the ecological environment treatment and restoration mode.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive exercise, wherein:
FIG. 1 is a schematic diagram of a model architecture according to the present invention.
Fig. 2 is a schematic structural diagram of a main control chip of a communication module according to the present invention.
FIG. 3 is a schematic diagram of an amplifying circuit according to the present invention.
Fig. 4 is a flow of an information anomaly identification algorithm in the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, and it should be understood that the embodiments described herein are merely for the purpose of illustrating and explaining the present invention and are not intended to limit the present invention.
An ecological environment administers wisdom analysis and processing system of restoration mode, includes:
the ecological environment data acquisition module acquires new ecological environment data information from different angles;
the ecological environment data processing module is used for processing the information of the obtained ecological environment data;
the ecological environment data analysis module is used for analyzing ecological environment data information;
the ecological environment data output module is used for outputting ecological environment data information;
the ecological environment data display module is used for displaying ecological environment data information;
the ecological environment data processing module is respectively connected with the ecological environment data acquisition module, the ecological environment data analysis module, the ecological environment data output module and the ecological environment data display module.
In the above embodiment, the ecological environment data obtaining module includes a CC2530 main control module and a sampling convolution sub-module connected to the CC2530 main control module.
In the above embodiment, the ecological environment data management is an important management service of the ecological environment department, and when data information is acquired, the acquisition and calculation of ecological environment data information can be realized in different ways, so that the overall process management of ecological environment data management, data sharing and data application is realized.
In specific application, for example, by arranging multiple data sensors to acquire and calculate different data information, the sensors can adopt different acquisition ecological environment management databases such as temperature sensors, radio frequency identification devices and GPS positioning devices, and the acquisition and position positioning of multiple data information such as voltage, current, temperature and power can be realized through the ecological environment management databases. The technology of the Internet of things is applied to ecological environment treatment data.
The ecological environment improvement and restoration comprehensive control of relevant data information can be achieved through collection of various data information, then the data information is transmitted through different network information, data transmission is conducted through a transmission network using wireless transmission technologies such as ZigBee and the like, and a transmission path is transmitted to an ecological environment improvement database information database through a cloud platform and simple data preprocessing is conducted. Meanwhile, the complex nonlinear relation of the abnormal information data types in the ecological environment improvement and restoration information database is processed in a mapping mode.
In the process of transmitting the ecological environment management database information acquisition ecological environment management database, real-time detection data needs to be obtained in order to improve the accuracy of evaluation, so that the acquisition of an internal signal identification module of the ecological environment management database and the transmission line monitoring play an important role. By analyzing and collecting the transmission conditions and parameters of the ecological environment management database, BF5 series optical fiber amplifiers are selected as a transmission detection circuit for the research, a CC2530 chip is combined to serve as a microcontroller to realize hardware modularization, and safety devices are arranged through elements such as an IP65 audible and visual alarm and the like.
The voltage of an external driving device needs to be controlled at 220V, a BF5 series optical fiber amplifier is used as a core device of the detection circuit, optical detection is conducted, non-contact detection is achieved, the detection circuit is not prone to damage, the optical fiber has the characteristic that the optical fiber can transmit a measuring signal to the maximum distance in the using process, and various requirements of the detection circuit are met. In the line detection process, detection data are transmitted to two sides of the system by mainly utilizing output optical fibers, the transmission optical fibers are generally 10M, the abrasion degree of the carbon brush acquired by the M4 right-angle probe is used as a detection index, and the method is applied to monitoring three acquired ecological environment management database lines. When the collected ecological environment management database is transmitted normally, the M4 probe penetrates through a small hole in the ecological environment management database to normally transmit the detection data of the sensor; when the transmission of the collected ecological environment management database has faults, the M4 probe sliding contact line deviates, when the deviation degree is overlarge, the small carbon brush hole is shielded, the detection light is mapped on the baffle, the optical fiber amplifier circuit is abnormal, a performance abnormal signal is sent out, and abnormal time is recorded.
The radio frequency identification module is needed for signal transmission of the collected ecological environment management database, and a twisted pair cable is adopted in the research to form a new configuration of the radio frequency identification module so as to prolong the connection distance between the radio frequency identification module and the antenna, so that the interference of the optical fiber amplifier and the audible and visual alarm on identification can be obviously reduced, and the signal communication time is saved.
In the above embodiment, the sampling convolution partitioning module includes an ecological data filter and a classifier.
In the specific embodiment, the data interface data end of the sampling convolution module division data is an input layer, the input size is 500 multiplied by 1, and in a filter stage, a first convolution part is composed of a stack composed of two convolution layers (Conv _1-1, conv _1-2); maxpolong layer with 2 × 1 filter (Pooling _ layer _ 1); the second convolution portion consists of three convolution layers (Conv _2-1, conv _2-2, conv _ 2-3) and maxporoling layer (Pooling _ layer _ 2). The rest consists of a common convolutional layer (Conv _3-Conv _ 7) and a maxporoling layer (Pool _3-Pool _ 7). A 2 x 1 filter is used for all maxpololing layers in SDCNN. The classification stage is composed of a Global Average Pooling (GAP) layer and a Full Connected (FC) layer, the output layer uses a weighted softmax loss function, and the size of a network core is represented as DxWxH, wherein D represents the channel size of the core; w represents the width of the kernel; h represents the height of the kernel. The network is deeper due to the multiple layers of small convolution kernels, good representation of input signals is facilitated, and network performance is improved.
However, since FC layers are easily over-fitted, this study proposed a regularizer that can randomly deactivate nodes of fully connected layers to prevent over-fitting. In the sampling convolution sub-module structure, each data information in the sampling convolution sub-module is subjected to structure division, different structure information is mapped to a data information structure, and then a softmax loss layer is carried out to realize performance evaluation of the acquisition equipment.
In further embodiments, the ecological data filter enables the processing and computation of heterogeneous data information.
In a further embodiment, the classifier is capable of mapping data records in the database to one of a given class, and thus can be applied to data prediction. In a word, the classifier is a general term of a method for classifying samples in data mining, and includes algorithms such as decision trees, logistic regression, naive bayes, neural networks and the like. Through different algorithms or function calculation, the classification and calculation capacity of the data information can be improved, so that the ecological environment data calculation and application capacity is improved.
In the above embodiment, the ecological environment data processing module includes a data classification module, a parameter setting module, and an MMAS algorithm processing module, wherein an output end of the data classification module is connected to an input end of the parameter setting module, and an output end of the parameter setting module is connected to an input end of the MMAS algorithm processing module.
In the above embodiment, the data classification module is used for classifying the ecological environment data attributes into different categories and levels to improve data information classification and computing power. The parameter setting module sets different information in the MMAS algorithm processing module so as to improve the data initialization setting capability and further improve the ecological environment management and restoration capability.
In a specific embodiment, the processing method of the MMAS algorithm processing module includes the following steps:
recording different ecological environment management data information as ant information elements, and initializing an MMAS algorithm model;
in a specific embodiment, the ant information elements can be any one of different ecological environment management data information, and different parameters can be set in the MMAS algorithm model during initialization setting so as to improve parameter application and setting capacity.
Step two, setting different ecological environment governing data information in analyzing the movement track in the ecological environment, wherein the movement track updating method is carried out through the following functions:
in the formula (1), the first and second groups,
a pheromone that indicates an update of information,
an ant element representing the update of the information,
indicates the time of the ant element to update and release the pheromone， 
Indicating the most suitable ant element for pheromone release.
In a specific embodiment, the pheromone for information updating is a data pheromone capable of improving the information updating capability in the continuous updating and data searching processes, and the ant elements for information updating can continuously change positions or parameters in the application process so as to improve the calculation and application capabilities of data information.
The difference value of the most suitable ant elements released by the ant elements in different time periods in the ecological environment treatment and restoration analysis process is as follows:
in the formula (2), the first and second groups of the chemical reaction are represented by the following formula,
the optimal solution is output in the continuous iterative computation process or the global optimal solution value is output in the continuous search process;
in a particular embodiment, if an analytical solution exists for this optimization function. For example, we typically differentiate the cost function to find the point where the derivative is 0, i.e., where the maximum or minimum is. If the cost function can be derived simply and the formula of 0 after derivation has an analytic solution, the optimal parameters can be obtained directly. By the method, the root of an algebraic equation, an unconstrained maximum point, a constrained maximum point, a nonlinear programming solution and a least square solution can be calculated by utilizing the correspondence between the local maximum point and the stable singular point of the power system. For the solution of the non-probability reliability index, the improved one-dimensional optimization algorithm is simple and convenient to calculate and can only search partial possible failure points, and the global optimal solution can search all the possible failure points but has overlarge calculation amount.
Step three: set maximum and minimum limits, assuming
Between
And
after each time the ant element updates the information, the method is implemented
In the case of (2), the two values are taken in the same form, i.e. they take the same form
；
Step four: and smoothing the ant element pheromone track, wherein the smoothing function is as follows:
in the formula (3), the first and second groups of the compound,
is between 0 and 1 and is,
the pheromone track quantity when the ant element is subjected to smoothing treatment,
smoothing the pheromone track quantity of the ant element;
step five: and classifying different information elements, wherein the adopted classification algorithm is a decision tree similarity matrix.
In the digital image processing, after the image elements are amplified, the image boundary appears jaggy, and the image elements are subjected to interpolation processing to increase the resolution of the image elements so as to refine the image, namely, to smooth the image. There are other methods of image processing such as density segmentation, contrast enhancement.
The MMAS (Min Max Ant System) function is called as a maximum minimum Ant System, after each time an Ant constructs a solution, the MMAS only updates the pheromone on the road section corresponding to the optimal solution, and the solution can be a historical optimal solution or a current generation optimal solution. If only the historical optimal solution is used, the algorithm can be converged prematurely, the algorithm is strong in development, but the exploratory performance is weak, the algorithm can possibly fall into local optimization, and the situation can be avoided to a certain extent by using the current generation optimal solution. The performance of the algorithm can be improved by adopting a hybrid mode to update the pheromone. The pheromones of each edge are limited between the intervals, namely the lower limit and the upper limit of the pheromones respectively, and the MMAS forces the pheromones which are not in the range to be set as the value of the maximum, so that the algorithm can be prevented from being premature due to large difference of the concentration of the pheromones, and the exploratory property of the algorithm is increased. The MMAS sets the initial pheromone to a very large value greater than that, so that all pheromones are initialized at the first iteration due to the interval constraint. Therefore, the exploratory property of the algorithm can be increased, and the algorithm is prevented from being premature. The MMAS adopts an pheromone smoothing mechanism, and when the algorithm is converged or close to convergence, the pheromone is adjusted by adopting a formula, so that the difference value between the road section pheromone quantity of the current optimal solution and the road section pheromone quantity of the non-current optimal solution can be reduced, the ants are possible to select the non-current optimal solution, and the exploratory property of the algorithm is improved.
Therefore, by the method, the exploratory property of the algorithm can be increased, and the capability of the algorithm for exploring other solutions can be increased, so that the intelligent analysis capability of different data information of the ecological environment can be rapidly improved in the ecological environment treatment and restoration process. In a specific application, resampling is carried out on a sample set, and n samples are selected; establishing classifiers for the n samples on all attributes; (the classifier can be a decision tree (ID 3, C4.5, CART), SVM or Logistic regression, etc.); then iterative computation is carried out, and the step 1,m times is repeated to obtain m classifiers; and (4) putting the data on the m classifiers, and finally determining which class the data belong to according to the voting results of the m classifiers.
In the above embodiment, the ecological environment data analysis module includes an STM32 processor with embedded Cortex-M3 as a core, and a communication circuit module, an amplifying circuit module and a computing module connected to the processor, where an output end of the communication circuit module is connected to an input end of the amplifying circuit module, and an output end of the amplifying circuit module is connected to an input end of the computing module.
In the specific embodiment, an STM32 processor with embedded Cortex-M3 as a core is adopted, the reliability of ecological environment treatment information is improved through a Modbus field bus technology, the environmental interference degree of ecological environment data signals is greatly reduced, a control system is mainly divided into an upper computer system and a lower computer subsystem, the upper computer system and the lower computer subsystem are connected through an Ethernet bus, and the transmission speed is up to 10Mbps. The upper computer system consists of a PC client and a router, and a user can check the ecological environment management and restoration data file information in the Hive database through upper computer software. The lower computer system consists of a main control system, a signal detector, a relay driver and an LED alarm. The half-duplex network communication between the systems of the lower computer mainly adopts a master-slave communication mode, namely, one host has a plurality of slave computers, and the hardware transmits data by shielding twisted-pair wires, so that some electromagnetic interference can be effectively shielded, the transmission rate is higher, and the reliability of data transmission is ensured. In a specific embodiment, the STM32F103VET6 is adopted as a chip of a main control system, the chip is based on an ARM Cortex-M3 core CPU, the working frequency is up to 72MHZ, 7 internal timers and 7 DMA channels can work simultaneously, the calculated amount of a core processor is reduced, the chip is provided with 2 Serial Peripheral Interfaces (SPI) and can be communicated with an Ethernet chip, the data transmission with a host system is realized, and automatic alarm can be given if abnormal interference occurs. The main control system described herein can meet the basic requirements of most server platforms, has the advantage of high cost performance, and can also reduce circuit interference and avoid the disadvantages of traditional wiring and multithreading. Communication circuit diagram of the master control system and the Ethernet chip DM 9000.
The working method of the computing module comprises the following steps: calculating abnormal indexes in the whole ecological environment management data transmission process through a big data function, wherein a performance output function is as follows:
in the formula (4), the first and second groups,
the transmission performance of the ecological environment management data information management platform is shown,
a track function representing the change in the ecological environment treatment process,
representing the prediction of the change rule of the ecological environment management information data,
representing the optimal data change performance of the ecological environment treatment data information;
through the functions, the transmission performance function parameters of the ecological environment management data information management platform, the track function changed in the ecological environment management process, the ecological environment management information data change rule prediction and the ecological environment management data information optimal data change performance parameter function are fused in the same data parameter function, so that the calculation and analysis capacity of the data information is improved.
According to the ecological environment management, the whole ecological environment management data dynamic function is recorded as:
in the formula (5), the first and second groups of the chemical reaction materials are selected from the group consisting of,
representing the identification quantity of abnormal information in ecological environment treatment,
representing the phase difference value in the ecological environment treatment and restoration process,
represents the data quantity for maintaining the stable compensation of ecological environment treatment,
the information change margin of ecological environment management is shown,
representing the data information conversion amount in the ecological environment control process;
in the above embodiment, by dynamically fusing the identification amount of the abnormal information in the ecological environment improvement, the phase difference value in the ecological environment improvement restoration process, the data amount of the ecological environment improvement stability compensation, the information change margin of the ecological environment improvement and the data information conversion amount in the ecological environment improvement process into the ecological environment improvement data dynamic function, different data information is fused into the function model, the ecological environment improvement data information can be dynamically observed in real time, so that the calculation capability, the management capability and the improvement capability of the data information are improved, the data analysis and application capability are greatly improved, and the data intelligent analysis capability is improved. Through the track function of adjusting ecological environment improvement restoration data, make ecological environment improvement information management platform rationalize more, analysis ecological environment improvement dynamic track function expresses as:
in the formula (6), the first and second groups,
represents the minimum fluctuation quantity of the ecological environment treatment information transmission,
a buffer amount indicating a management fluctuation of the data information,
representing the change rule function of the ecological environment treatment information data,
the total amount of the ecological environment management information is shown,
representing the batch transportation amount of the ecological environment treatment information,
a partitioning attribute representing the corrected ecological environment remediation information;
in the above embodiment, a plurality of different data information such as the minimum fluctuation amount of the transmission of the ecological environment improvement information, the buffer amount of the data information management fluctuation, the function of the change rule of the ecological environment improvement information data, the total amount of the ecological environment improvement information, the batch transportation amount of the ecological environment improvement information, and the division attribute of the corrected ecological environment improvement information are summarized into the function, so that the restoration and application capabilities of the ecological environment improvement data information are improved. The minimum fluctuation quantity of ecological environment management information transmission is information fluctuation of data information in the transmission process, the minimum fluctuation quantity of ecological environment management information transmission is the fluctuation condition of data in a network framework in the transmission process, the ecological environment management information data change rule function is the rule that the data information is subjected to external data information fluctuation in the transmission process, the total quantity of ecological environment management information data information in the transmission process, the batch-wise transportation quantity of the ecological environment management information is the information change quantity in the ecological environment management dynamic process, and the partition attribute of the ecological environment management information can reflect different types of partition of the ecological environment management information.
Substituting the data volume of the ecological environment management information of actual operation into calculation according to the dynamic change track of the ecological environment management to obtain a change rule function as follows:
in the formula (7), the first and second groups of the compound,
the number of batches for transporting the ecological environment improvement information is represented,
representing the change of the ecological environment management information management data weight;
in the above embodiment, different data information such as the number of batches of different types of ecological environment management information transportation, the change value of the ecological environment management information management data weight, and the like can be integrated together to improve the ecological environment management dynamic change management capability.
Deducing the influence degree of total data of ecological environment treatment information sampling on network fluctuation buffering through an ecological environment treatment information abnormity identification algorithm, namely:
in the formula (8), the first and second groups,
representing the amount of ecological environment management information input into the algorithm program,
indicating that the data transmission standard of the ecological environment improvement information is allowed,
representing the dividing times of ecological environment treatment information transmission;
in the embodiment, the ecological environment management information amount, the ecological environment management information data transmission standard and the ecological environment management information transmission batch number can embody the calculation and calculation capacity of the anomaly identification algorithm from different attributes and data layers, and the restoration analysis and management calculation of the ecological environment management information can be greatly improved.
Due to the fluctuation of the ecological environment management information management platform network, the change track of the ecological environment management information caused during the buffering period is expressed as:
in the formula (9), the first and second groups,
the change proportion of the initial ecological environment control information is shown,
showing the change ratio of the ecological environment treatment information in the buffering period,
representing the changed ecological environment management information feedback constraint conditions;
in the above embodiment, the initial ecological environment improvement information change ratio is an ecological management amount affected by environmental data information or abnormal data information, and is easily affected by unstable abnormal factors of different data information networks, the ecological environment improvement information change ratio in the buffering period is a ratio calculation method reflecting the change amount, such parameters are easily adjusted and calculated according to the ratio information to observe real-time data information change in the ecological environment improvement information change in real time, and the ecological environment improvement information feedback constraint condition is affected by external data information in the network unstable calculation process.
The total function of the affected ecological environment management information data is as follows:
in the formula (10), the first and second groups of the chemical reaction are shown in the formula,
representing the change track of the ecological environment management information data when no fluctuation exists,
representing the change track of the ecological environment treatment information data during the fluctuation,
indicating the affected data in the absence of fluctuations,
indicating the affected data within the surge buffering time.
Through the function, the data information for ecological environment treatment and restoration can be rapidly calculated, and the data information subjected to abnormal treatment is transmitted to the input interface in time, so that the abnormal data information capability of the ecological environment is rapidly realized, and the data information modification and analysis capability in the ecological environment treatment process is rapidly improved.
In the above embodiment, the ecological environment data output module is provided with a compatibility data interface.
In a specific embodiment, data information input and output of different compatible data interfaces can be realized by setting a wireless data information interface, and ecological environment data output and application capability can be improved. Such as a wireless bluetooth interface, a data communication interface, etc., in particular embodiments.
In the above embodiment, the ecological environment data display module is an LED display screen.
In a specific embodiment, the LED display screen is an intelligent analysis processing system capable of calculating various data information, and visual application of the data information can be realized.
Although specific embodiments of the present invention have been described above, it will be understood by those skilled in the art that these specific embodiments are merely illustrative and that various omissions, substitutions and changes in the form of the detail of the methods and systems described above 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 steps of the above-described methods to perform substantially the same function in substantially the same way to achieve substantially the same result. Accordingly, the scope of the invention is to be limited only by the following claims.
Claims (9)
1. The utility model provides an ecological environment administers wisdom analysis and processing system of restoration mode which characterized in that: the method comprises the following steps:
the ecological environment data acquisition module acquires new ecological environment data information from different angles;
the ecological environment data processing module is used for processing the information of the obtained ecological environment data;
the ecological environment data analysis module is used for analyzing ecological environment data information;
the ecological environment data output module is used for outputting ecological environment data information;
the ecological environment data display module is used for displaying ecological environment data information;
the ecological environment data processing module is respectively connected with the ecological environment data acquisition module, the ecological environment data analysis module, the ecological environment data output module and the ecological environment data display module.
2. The system of claim 1, wherein the system comprises: the ecological environment data acquisition module comprises a CC2530 main control module and a sampling convolution sub-module connected with the CC2530 main control module.
3. The intelligent analysis and treatment system for ecological environmental governance restoration, according to claim 2, further comprising: the sampling convolution sub-module comprises an ecological data filter and a classifier.
4. The intelligent analysis and treatment system for ecological environmental governance restoration, according to claim 1, further comprising: the ecological environment data processing module comprises a data classification module, a parameter setting module and an MMAS algorithm processing module, wherein the output end of the data classification module is connected with the input end of the parameter setting module, and the output end of the parameter setting module is connected with the input end of the MMAS algorithm processing module.
5. The system of claim 1, wherein the system comprises: the processing method of the MMAS algorithm processing module comprises the following steps:
recording different ecological environment control data information as ant information elements, and initializing an MMAS algorithm model;
step two, setting different ecological environment governing data information in analyzing the movement track in the ecological environment, wherein the movement track updating method is carried out through the following functions:
in the formula (1), the first and second groups,
a pheromone that indicates an update of information,
an ant element representing the update of the information,
the time for releasing the pheromone by updating the ant element is shown,
represents the most suitable ant element when releasing pheromone;
the difference value of the most suitable ant elements released by different time periods in the process of analyzing the ecological environment control and restoration is as follows:
in the formula (2), the first and second groups,
the optimal solution is output in the continuous iterative computation process or the global optimal solution value is output in the continuous search process;
step three: set maximum and minimum limits, assuming
Between
And
after each time of information updating of ant elements, the method is implemented
In the case of (2), the two values are taken in the same form, i.e. they take the same form
；
Step four: and smoothing the ant element pheromone track, wherein the smoothing function is as follows:
in the formula (3), the first and second groups,
is between 0 and 1 and is,
the pheromone trace amount when the ant element is subjected to smoothing treatment,
smoothing the pheromone track quantity of the ant element;
step five: and classifying different information elements, wherein the adopted classification algorithm is a decision tree similarity matrix.
6. The system of claim 1, wherein the system comprises: the ecological environment data analysis module comprises an STM32 processor taking embedded Cortex-M3 as a core, and a communication circuit module, an amplifying circuit module and a calculation module which are connected with the processor, wherein the output end of the communication circuit module is connected with the input end of the amplifying circuit module, and the output end of the amplifying circuit module is connected with the input end of the calculation module.
7. The intelligent analysis and treatment system for ecological environmental governance restoration, according to claim 6, further comprising:
the working method of the computing module comprises the following steps:
calculating abnormal indexes in the whole ecological environment management data transmission process through a big data function, wherein a performance output function is as follows:
in the formula (4), the first and second groups,
the transmission performance of the ecological environment management data information management platform is shown,
track letter representing change in ecological environment treatment processThe number of the first and second groups is,
representing the prediction of the change rule of the ecological environment management information data,
representing the optimal data change performance of the ecological environment treatment data information;
according to the ecological environment management, the whole ecological environment management data dynamic function is recorded as:
in the formula (5), the first and second groups,
representing the identification quantity of abnormal information in ecological environment treatment,
the phase difference value in the ecological environment treatment and restoration process is shown,
represents the data quantity for maintaining the stable compensation of ecological environment treatment,
the information change margin of ecological environment management is shown,
representing the data information conversion quantity in the ecological environment treatment process;
the dynamic trajectory function for ecological environment improvement analysis is expressed as:
in the formula (6), the first and second groups of the compound,
represents the minimum fluctuation quantity of the ecological environment treatment information transmission,
a buffer amount indicating a management fluctuation of the data information,
representing the change rule function of the ecological environment management information data,
the total amount of the ecological environment management information is shown,
representing the batch transportation amount of the ecological environment treatment information,
a partitioning attribute representing the corrected ecological environment remediation information;
substituting the data volume of the ecological environment management information of actual operation into calculation according to the ecological environment management dynamic change track to obtain a change rule function as follows:
in the formula (7), the reaction mixture is,
the number of batches for transporting the ecological environment improvement information is represented,
management data representing ecological environment management informationThe weight value is changed;
deducing the influence degree of total data of ecological environment treatment information sampling on network fluctuation buffering through an ecological environment treatment information abnormity identification algorithm, namely:
in the formula (8), the first and second groups of the chemical reaction are shown in the specification,
representing the amount of ecological environment management information input into the algorithm program,
indicating standards for allowing ecological environment improvement information data transmission,
representing the dividing times of ecological environment management information transmission;
due to the fluctuation of the ecological environment management information management platform network, the change track of the ecological environment management information caused during the buffering period is expressed as:
in the formula (9), the first and second groups,
showing the change proportion of the initial ecological environment treatment information,
showing the change ratio of the ecological environment control information in the buffering period,
representing changed ecological environmental governance informationFeedback constraint conditions;
the total function of the affected ecological environment treatment information data is as follows:
in the formula (10), the reaction mixture is,
representing the change track of the ecological environment treatment information data when no fluctuation exists,
representing the change track of the ecological environment treatment information data during the fluctuation,
indicating the affected data in the absence of fluctuations,
indicating the affected data within the surge buffering time.
8. The system of claim 1, wherein the system comprises: the ecological environment data output module is provided with a compatible data interface.
9. The intelligent analysis and treatment system for ecological environmental governance restoration, according to claim 1, further comprising: the ecological environment data display module is an LED display screen.
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