CN116430930A - Forest farm environment balance adjustment equipment - Google Patents
Forest farm environment balance adjustment equipment Download PDFInfo
- Publication number
- CN116430930A CN116430930A CN202310400598.2A CN202310400598A CN116430930A CN 116430930 A CN116430930 A CN 116430930A CN 202310400598 A CN202310400598 A CN 202310400598A CN 116430930 A CN116430930 A CN 116430930A
- Authority
- CN
- China
- Prior art keywords
- firefly
- balance
- environment
- forest farm
- optimal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 241000254158 Lampyridae Species 0.000 claims abstract description 93
- 230000007613 environmental effect Effects 0.000 claims abstract description 44
- 238000001514 detection method Methods 0.000 claims abstract description 35
- 238000013461 design Methods 0.000 claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 239000013618 particulate matter Substances 0.000 claims abstract description 14
- 239000000779 smoke Substances 0.000 claims abstract description 14
- 238000011217 control strategy Methods 0.000 claims abstract description 12
- MWUXSHHQAYIFBG-UHFFFAOYSA-N nitrogen oxide Inorganic materials O=[N] MWUXSHHQAYIFBG-UHFFFAOYSA-N 0.000 claims description 18
- 238000005457 optimization Methods 0.000 claims description 18
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 claims description 12
- 239000007789 gas Substances 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 9
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 8
- 238000010521 absorption reaction Methods 0.000 claims description 8
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 8
- 239000005431 greenhouse gas Substances 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 5
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 3
- 239000001569 carbon dioxide Substances 0.000 claims description 3
- 230000009191 jumping Effects 0.000 claims description 3
- 230000031700 light absorption Effects 0.000 claims description 3
- 238000013459 approach Methods 0.000 claims description 2
- 238000005259 measurement Methods 0.000 claims description 2
- 230000000452 restraining effect Effects 0.000 claims description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims 1
- 229910052799 carbon Inorganic materials 0.000 claims 1
- 230000002159 abnormal effect Effects 0.000 abstract description 4
- 238000011161 development Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000009434 installation Methods 0.000 description 2
- 239000002689 soil Substances 0.000 description 2
- 241000219000 Populus Species 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000011166 aliquoting Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 241000894007 species Species 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Cultivation Of Plants (AREA)
Abstract
The invention discloses a forest farm environment balance adjusting device which comprises an environment parameter detecting unit, a balance design unit, a balance control module and balance equipment. The environmental parameter detection unit comprises a temperature sensor, a humidity sensor, a smoke sensor, a turbidity meter, a MINI super-station, an environmental atmosphere sampler and an environmental particulate matter sampler, and is installed at multiple points according to the requirement to detect environmental parameters of a forest farm; the environment balance design unit carries out environment parameter index balance design based on environment parameters through a heuristic firefly algorithm; the balance control module performs targeted control operation based on a control strategy, and also comprises a monitoring module and an alarm module, and alarms abnormal indexes. Compared with the prior art, the invention can respond and adjust environmental indexes of the forest farm, including temperature regulation and control, humidity regulation and vegetation density regulation, and ensure safe and reliable operation of the forest farm.
Description
Technical Field
The invention belongs to the technical field of environmental balance, and particularly relates to forest farm environmental balance adjusting equipment.
Background
At present, along with the gradual severe environmental pollution of economic development, the ecological environment condition and the environmental inspection and control of a forest farm are more and more emphasized, but the management and control experience and auxiliary equipment are relatively backward, a large amount of manpower and material resources are generally required for measuring and recording the forest farm in an all-around manner, and particularly, the depth of the forest farm cannot realize comprehensive data recording, so that inaccurate and insufficient scientific research data are caused. The manpower cost is increased in an intangible way by the mode of needing manpower detection, a large amount of time is wasted, and the forest farm experiment and labor production efficiency are greatly reduced.
In recent years, powerful guarantee is provided for developing modern forestry, building forestry ecological civilization and promoting scientific development, the national provides forestry informatization and the concept of Internet+forestry, and aims to gradually establish a forestry informatization system which is complete in function, intercommunicating and sharing, efficient, convenient, stable and safe, promote scientization, office standardization, supervision transparency and service convenience of forestry decision making, enable forestry to realize intelligent detection, intelligent planning and intelligent regulation, collect and improve forest environment data through forest environment detection equipment, and accordingly better development is obtained.
The efficiency of manually detecting environmental parameters is low, the parameter detection can not be performed on a large scale in all aspects, the corresponding adjustment is performed according to the parameters, time is wasted, and the optimal control time is likely to be missed. The environment of the forest farm to be detected must be detected in real time, and a relative strategy is made in time to control so as to achieve the balance effect.
Disclosure of Invention
The invention aims to: aiming at the problems of complexity and incompleteness existing in the existing manual detection technology, the invention provides the forest farm environment balance adjustment equipment, which can be used for detecting the changes of various environment parameters in a forest farm in multiple aspects, and can be transmitted to balance equipment to adjust in time so as to achieve the steady state of the environmental balance of the forest farm.
The technical scheme is as follows: the invention discloses a forest farm environment balance adjustment device, which comprises an environment parameter detection unit, digital-to-analog conversion equipment, short-time storage equipment, a balance design unit, a balance control module and balance equipment, wherein the environment parameter detection unit comprises a smoke sensor, a turbidity meter, a MINI super-station, an environment atmosphere sampler and an environment particulate matter sampler, and the smoke sensor, the turbidity meter, the MINI super-station, the environment atmosphere sampler and the environment particulate matter sampler are combined to divide a forest farm into n matrixes and install the matrixes at multiple points; the balance equipment comprises vegetation density adjusting equipment, temperature adjusting equipment and humidity adjusting equipment; the environment parameter detection unit is connected with the short-time storage device through digital-to-analog conversion equipment, the balance design unit is connected with the short-time storage device, the output end of the balance design unit is connected with the balance control module, and the balance control module is connected with the balance device;
the balance design unit outputs a control strategy by utilizing a heuristic firefly algorithm according to the following optimization model based on the detection data transmitted by the environmental parameter detection unit, and confirms the optimal planting position of each tree, so that the afforestation density and the number of the trees in a forest farm are optimized; and outputting the control strategy to a balance control module, wherein the balance control module carries out forest farm environment balance adjustment through the balance equipment, and the optimization model is as follows:
wherein F is an objective function, is the actual ratio of each gas in each hour, and the ideal optimization result is that F is close to 0 in a wireless manner, so that the consumption of each greenhouse gas is huge and tends to be completely consumed;is the actual concentration of carbon dioxide, +.>Is the ideal concentration of carbon dioxide->For the actual concentration of sulfur dioxide, +.>For the ideal concentration of sulfur dioxide, +.>For the actual concentration of nitrogen oxides>Is the ideal concentration of nitrogen oxides, V PM10 Actual concentration V of PM10 P ' M10 For an ideal concentration of PM10, M is the number of trees in the forest farm and S is the total area of the forest farm.
Further, the intelligent monitoring system also comprises an alarm module, a monitoring module, a temperature sensor and a humidity sensor; the monitoring module is connected with the digital-to-analog conversion equipment and is used for monitoring data acquired by the environmental parameter detection unit in real time, and when the temperature data of the temperature sensor, the humidity data of the humidity sensor, the concentration data of the smoke sensor, the concentration data of the turbidity meter, the detection data of the MINI super-station instrument, the concentration data of the environmental atmosphere sampler and the concentration data of the environmental particulate matter sampler exceed preset values, an alarm is sent out through the alarm equipment.
Further, the specific process of the balance design unit outputting the control strategy by using the heuristic firefly algorithm according to the optimization model based on the detection data transmitted by the environmental parameter detection unit is as follows:
in which I 0 The brightest fluorescence brightness of fireflies is expressed as the optimal planting position of trees, gamma is the light absorption coefficient and r ij The distance between firefly i and firefly j shows that the propagation medium absorbs the fluorescence intensity and is influenced by the propagation distance and the propagation medium, namely the scattering quantity far from the optimal tree planting position is influenced by the minimum tree planting distance and the planting type; when r=0 (and itself), the fluorescence brightness of firefly i reaches a maximum, indicating here the optimal planting position for the tree;
the relative spatial distance between firefly i and firefly j, i.e., the relative spatial distance between tree i and tree j, is denoted as
X in the formula i,k Is the space coordinate x of the ith firefly i The kth component, x j,k Is the space coordinate x of the jth firefly j The firefly is the tree;
the attractive force beta follows the distance r between firefly i and firefly j ij The changes are recorded as
Beta in 0 The attractive force at r=0 indicates the attractive degree of the position of the maximum fluorescence brightness. If firefly j attracts firefly i to move to it, firefly i position updates as:
in the method, in the process of the invention,the attraction weight of the historical optimal position to fireflies is x best The position of the brightest firefly in the last algorithm iteration is obtained;
omega in 1 ,ω 2 As the self-adaptive adjustment factor, the formula (6) is an improved movement formula of the formula (5);
wherein T and T are the current iteration number and the maximum iteration number, w respectively max For adjusting maximum value of weight factor, w min Taking a constant for the adjustment minimum value of the weight factor; w (w) 1 And w 2 Representing the optimal individual position x of firefly toward history j Near toIs a speed of (2);
and 8, stopping iteration when the condition is met, and outputting a result.
The beneficial effects are that:
1. compared with the existing manual detection technology, the invention has the advantages that the temperature sensor, the humidity sensor, the smoke sensor, the turbidity meter, the MINI super-station, the environmental atmosphere sampler and the environmental particulate matter sampler are combined, the space occupied by a forest farm of the original equipment is reduced, and meanwhile, the abnormal condition of environmental parameters of the forest farm can be detected by carrying out data in a large range and multiple aspects. The multipoint and fixed-point installation reduces the consumption of human resources, solves the problems of inconvenient entry and unscientific data in the depth of a forest farm, monitors vegetation density in real time, and ensures the operation of the forest farm. The invention provides an automatic environmental parameter detecting device aiming at the problems, which can detect and adjust the environmental balance of a forest farm in an omnibearing way.
2. When the temperature data of the temperature sensor, the humidity data of the humidity sensor, the concentration data of the smoke sensor, the concentration data of the turbidity meter, the detection data of the MINI super-station, the concentration data of the environmental atmosphere sampler and the concentration data of the environmental particulate matter sampler exceed preset values, parameter abnormality information is transmitted through the cooperation of the alarm module and the detection and control module, and an alarm is sent.
3. The content of each gas is mainly determined by the number of the trees, the distance between vegetation is mainly determined by the rich degree of the soil and the planting type, and the optimal planting position of each tree is confirmed through a firefly algorithm, so that the afforestation density and the number of the trees in a forest farm are optimized, the trees in the forest farm can grow at the optimal growth density, and the air in the forest farm is purified. The cutting target can be reasonably designed, the optimal space distance between trees is realized, the normal operation of a forest farm is ensured, and the optimal environment and the atmospheric environment for tree growth are also ensured.
4. The target function F of the invention is the ratio of the consumption of each gas to the ideal gas, the value is between 0 and 1, and the ideal optimization result is that F is close to 0 in a wireless way, which means that the consumption of each greenhouse gas is huge and tends to be completely consumed. The invention can obtain the maximum tree quantity under the optimal growth density of the forest farm before obtaining the optimal solution, thereby calculating the absorption quantity of each gas, determining the optimal space distance between vegetation, wherein the space distance is not a uniform value, the control strategy is to obtain the optimal planting position by an algorithm, determine the optimal positions of other trees by taking the optimal planting position as the origin of coordinates, and determine the planting points of the trees in the forest farm in a coordinate mode so as to realize the control of the planting of the trees. In addition, the invention can realize remote monitoring and adjustment and can ensure the operation safety of the forest farm.
Drawings
FIG. 1 is a schematic diagram of a hardware architecture of the present invention;
FIG. 2 is a flow chart of a heuristic firefly algorithm employed in the present invention;
FIG. 3 is a graph comparing vegetation density optimization results of the present invention.
Detailed Description
The present invention will be described in detail with reference to the accompanying drawings.
The invention provides forest farm environment balance adjustment equipment based on a heuristic firefly algorithm, which comprises an environment parameter detection unit, a balance control module, a balance design unit and balance equipment. The environmental parameter detection unit comprises a temperature sensor, a humidity sensor, a smoke sensor, a turbidity meter, a MINI super-station, an environmental atmosphere sampler and an environmental particulate matter sampler, and is required to be installed at different positions of a forest farm in multiple points, the forest farm is divided into n matrixes, and environmental parameters of the forest farm are detected. The balance design unit carries out environmental parameter index balance strategy design based on forest farm environmental parameters through a heuristic firefly algorithm. The balance equipment comprises vegetation density adjusting equipment, temperature adjusting equipment and humidity adjusting equipment, and targeted control operation is performed based on a control strategy. The system also comprises a monitoring module and an alarm module, and is used for carrying out alarm processing on abnormal conditions, as shown in fig. 1, and specifically comprises a temperature sensor, a humidity sensor, a smoke sensor, a turbidity meter, a MINI super-station, an environmental atmosphere sampler, an environmental particulate matter sampler, an alarm module, a monitoring module, a balance control module, a balance design unit and balance equipment.
Temperature sensor, humidity transducer, smoke transducer, turbidity meter, MINI super station, environment atmosphere sampler, environment particulate matter sampler in the environmental parameter detecting element pass through digital-to-analog conversion equipment and are connected with short-time storage equipment, and balanced design unit is connected with short-time storage equipment, and balanced design unit output is connected with balanced control module, and balanced control module is connected with balanced equipment.
The alarm module and the monitoring module cooperatively communicate abnormal conditions, and the monitoring module is connected with the digital-to-analog conversion equipment and is used for monitoring the data acquired by the environmental parameter detection unit in real time. Based on the cooperation of the alarm module and the monitoring module, the alarm module receives temperature data of the temperature sensor, humidity data of the humidity sensor, concentration data of the smoke sensor, concentration data of the turbidity meter, detection data of the MINI super-station, concentration data of the environmental atmosphere sampler and concentration data of the environmental particulate matter sampler in real time, and when the temperature data of the temperature sensor, the humidity data of the humidity sensor, the concentration data of the smoke sensor, the concentration data of the turbidity meter, the detection data of the MINI super-station, the concentration data of the environmental atmosphere sampler and the concentration data of the environmental particulate matter sampler exceed preset values, the alarm module timely transmits alarm signals, and the balance control module receives the alarm signals and monitors all data of the environmental parameter detection unit in real time.
The balance design unit outputs a control strategy by utilizing a heuristic firefly algorithm according to the following optimization model based on the detection data transmitted by the environment parameter detection unit, and confirms the optimal planting position of each tree, so that the afforestation density and the number of the trees in a forest farm are optimized.
Wherein F is an objective function, is the actual ratio of each gas in each hour, and the ideal optimization result is that F is close to 0 in a wireless manner, so that the consumption of each greenhouse gas is huge and tends to be completely consumed;is the actual concentration of carbon dioxide, +.>Is the ideal concentration of carbon dioxide->For the actual concentration of sulfur dioxide, +.>For the ideal concentration of sulfur dioxide, +.>For the actual concentration of nitrogen oxides>Is the ideal concentration of nitrogen oxides, V PM10 Actual concentration V of PM10 P ' M10 For an ideal concentration of PM10, M is the number of trees in the forest farm and S is the total area of the forest farm.
The content of each gas in the optimization model is mainly determined by the number of trees, the distance between vegetation is mainly determined by the rich degree and the planting type of the soil, and the optimal planting position of each tree is confirmed through a firefly algorithm, so that the afforestation density and the number of the trees in a forest farm are optimized, the trees in the forest farm can grow at the optimal growth density, and the air in the forest farm is purified. These greenhouse gases will have an effect on temperature, but the temperature and humidity data herein are mainly for preventing forest fires, and perform early warning.
F is the ratio of each gas consumption to each ideal gas, the value is between 0 and 1, and the ideal optimization result is that F is close to 0 wirelessly, which means that the consumption of each greenhouse gas is huge and tends to be completely consumed. The maximum tree quantity under the optimal growth density of the forest farm can be obtained before the optimal solution is obtained, so that the absorption quantity of each gas is calculated, the optimal space distance between vegetation can be determined, the space distance is not a uniform value, the optimal planting position is obtained through an algorithm, the optimal planting position is taken as the origin of coordinates, the optimal positions of other trees are determined, the planting points in the forest farm are determined through the form of coordinates, and the tree planting is controlled.
The vegetation density adjusting equipment, the temperature adjusting equipment and the humidity adjusting equipment in the balance equipment are independent, and when the vegetation density adjusting equipment is controlled to a certain density standard, the temperature control equipment reaches a certain temperature and the humidity adjusting equipment reaches a certain humidity, the environmental balance adjustment of the forest farm is performed according to a reasonable strategy of the design of the balance control module.
When the invention is used, the balance design unit outputs an optimal control strategy, the balance control module issues a command to the balance equipment through the control strategy, the vegetation density adjusting equipment adjusts and improves the density problem, the temperature adjusting equipment adjusts and controls the proper temperature, and the humidity adjusting equipment adjusts and controls the proper temperature.
The invention utilizes the environment balance adjusting equipment optimizing method of the heuristic firefly algorithm, and realizes the control of vegetation felling, planting space position and vegetation density by utilizing the balance design unit to control by the algorithm. The specific algorithm optimization steps are as follows:
1. initializing parameters. Firefly number M, herein means the number of trees in a certain share after halving in the forest farm, firefly maximum absorption factor β 0 For the attraction of the best tree planting position to the outmost tree growth around, the light intensity is absorbedThe coefficient gamma is the scattering quantity of the optimal tree planting position to the far position, the step factor alpha, the searching precision is epsilon, and the maximum iteration number T max The searchable space range is [ X min ,X max ]The range of a part after the forest farm is equally divided. Firefly algorithm is three-dimensional, and the dimension is changed into two-dimensional when the code runs.
In which I 0 The brightest fluorescence brightness of fireflies is expressed as the optimal planting position of trees, gamma is the light absorption coefficient and r ij The distance between firefly i and firefly j indicates that the absorption of fluorescence intensity by the propagation medium is affected by the propagation distance and the propagation medium, and herein indicates that the amount of scattering at the optimal tree planting position is affected by the minimum distance of tree planting and the planting species. When r=0 (and itself), the fluorescence intensity of firefly i reaches a maximum, indicating here the optimal planting position for the tree.
FIG. 2 is a flowchart of a specific algorithm for inspiring fireflies
The relative spatial distance between firefly i and firefly j, i.e., the relative spatial distance between tree i and tree j, is denoted as
X in the formula i,k Is the space coordinate x of the ith firefly i The kth component, x j,k Is the space coordinate x of the jth firefly j The firefly is the tree.
The attractive force beta follows the distance r between firefly i and firefly j ij The changes are recorded as
Beta in 0 Let r=Attractive force at 0 represents attractive degree of the maximum fluorescence brightness position. If firefly j attracts firefly i to move to firefly j, the position of firefly i is updated as
2. Calculating the relative spatial position r of fireflies in the population according to the formulas (1), (2) and (3) ij Relative fluorescence intensity I and attraction degree β.
3. The "historical optimal position" is introduced as heuristic information, and the spatial position of firefly is updated according to equation (5).
In the method, in the process of the invention,the attraction weight of the historical optimal position to fireflies is x best Is the position of the brightest firefly in the last algorithm iteration.
4. And (3) adding a weight factor according to the formula (6) to dynamically adjust the global search at the initial stage of the algorithm and the local search at the later stage of the algorithm, so as to avoid the algorithm from sinking into convergence prematurely and update the space position of fireflies.
Omega in 1 ,ω 2 For the adaptive adjustment factor, equation (6) is an improved movement equation of equation (5).
5. Constraint of fireflies beyond the search space according to equation (7) ensures that fireflies remain within the feasible solution range, i.e., that the planted trees are in this aliquoting region:
wherein T and T are the current iteration number and the maximum iteration number, w respectively max For adjusting maximum value of weight factor, w min Taking a constant for the adjustment minimum value of the weight factor; w (w) 1 And w 2 Representing the optimal individual position x of firefly toward history j The speed of approach.
6. And judging whether the cycle is ended. When the searching times reach the maximum iteration times, jumping to the step 7; otherwise, the searching times are increased once, and the step 2 is skipped to perform the next searching.
7. And outputting a global optimal individual value searched by a heuristic firefly algorithm as an algorithm optimal solution.
8. And stopping iteration when the condition is met, and outputting a result.
As shown in fig. 3, the vegetation density optimization type of the invention takes poplar as a reference and takes short-cut period as an operation mode as a parameter design. The data change is larger before use, and the vegetation density has a more stable improvement result after the invention is used. The invention also has the advantages of multipoint installation and multipoint control of the environmental balance of the forest farm. And obtaining an optimal solution strategy by inspiring a firefly algorithm. The environmental balance of the forest farm is more stable.
The foregoing embodiments are merely illustrative of the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the present invention and to implement the same, not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be included in the scope of the present invention.
Claims (3)
1. The forest environment balance adjustment device is characterized by comprising an environment parameter detection unit, digital-to-analog conversion equipment, short-time storage equipment, a balance design unit, a balance control module and balance equipment, wherein the environment parameter detection unit comprises a smoke sensor, a turbidity meter, a MINI super-station, an environment atmosphere sampler and an environment particulate matter sampler, and the smoke sensor, the turbidity meter, the MINI super-station, the environment atmosphere sampler and the environment particulate matter sampler are combined to divide a forest into n matrixes and install the matrixes at multiple points; the balance equipment comprises vegetation density adjusting equipment, temperature adjusting equipment and humidity adjusting equipment; the environment parameter detection unit is connected with the short-time storage device through digital-to-analog conversion equipment, the balance design unit is connected with the short-time storage device, the output end of the balance design unit is connected with the balance control module, and the balance control module is connected with the balance device;
the balance design unit outputs a control strategy by utilizing a heuristic firefly algorithm according to the following optimization model based on the detection data transmitted by the environmental parameter detection unit, and confirms the optimal planting position of each tree, so that the afforestation density and the number of the trees in a forest farm are optimized; and outputting the control strategy to a balance control module, wherein the balance control module carries out forest farm environment balance adjustment through the balance equipment, and the optimization model is as follows:
wherein F is an objective function, is the actual ratio of each gas in each hour, and the ideal optimization result is that F is close to 0 in a wireless manner, so that the consumption of each greenhouse gas is huge and tends to be completely consumed;is the actual concentration of carbon dioxide, +.>Is di-oxidizedIdeal concentration of carbon>For the actual concentration of sulfur dioxide, +.>For the ideal concentration of sulfur dioxide, +.>For the actual concentration of nitrogen oxides>Is the ideal concentration of nitrogen oxides, V PM10 Actual concentration V of PM10 P ' M10 For an ideal concentration of PM10, M is the number of trees in the forest farm and S is the total area of the forest farm.
2. The farm environment balance adjustment device of claim 1, further comprising an alarm module, a monitoring module, a temperature sensor, a humidity sensor; the monitoring module is connected with the digital-to-analog conversion equipment and is used for monitoring data acquired by the environmental parameter detection unit in real time, and when the temperature data of the temperature sensor, the humidity data of the humidity sensor, the concentration data of the smoke sensor, the concentration data of the turbidity meter, the detection data of the MINI super-station instrument, the concentration data of the environmental atmosphere sampler and the concentration data of the environmental particulate matter sampler exceed preset values, an alarm is sent out through the alarm equipment.
3. The forest farm environment balance adjustment device according to claim 1, wherein the specific process of the balance design unit outputting the control strategy by using the heuristic firefly algorithm according to the optimization model based on the detection data transmitted by the environment parameter detection unit is as follows:
step 1, initializing parameters, wherein the number M of fireflies represents the number of trees in a certain part after the forest farm is equally divided, and the maximum absorption factor beta of the fireflies 0 For the attraction of the best tree planting position to the outmost tree growth around, the light intensity absorption coefficient gamma is the scattering quantity of the outmost tree planting position, the step factor alpha is the minimum length of each measurement of tree planting, the search precision is epsilon, and the maximum iteration number T max The searchable space range is [ X min ,X max ]The range of a certain part after the forest farm is equally divided; the firefly algorithm is three-dimensional, and the dimension is changed into two dimensions:
in which I 0 The brightest fluorescence brightness of fireflies is expressed as the optimal planting position of trees, gamma is the light absorption coefficient and r ij The distance between firefly i and firefly j shows that the propagation medium absorbs the fluorescence intensity and is influenced by the propagation distance and the propagation medium, namely the scattering quantity far from the optimal tree planting position is influenced by the minimum tree planting distance and the planting type; when r=0 (and itself), the fluorescence brightness of firefly i reaches a maximum, indicating here the optimal planting position for the tree;
the relative spatial distance between firefly i and firefly j, i.e., the relative spatial distance between tree i and tree j, is denoted as
X in the formula i,k Is the space coordinate x of the ith firefly i The kth component, x j,k Is the space coordinate x of the jth firefly j The firefly is the tree;
the attractive force beta follows the distance r between firefly i and firefly j ij The changes are recorded as
Beta in 0 The attractive force at r=0 indicates the attractive degree of the position of the maximum fluorescence brightness. If firefly j attracts firefly i to move to it, firefly i position updates as:
step 2, calculating the relative spatial position r of fireflies in the population according to the formulas (1), (2) and (3) ij Parameters such as relative fluorescence brightness I and attraction degree beta;
step 3, introducing a history optimal position as heuristic information, and updating the space position of the firefly according to a formula (5):
in the method, in the process of the invention,the attraction weight of the historical optimal position to fireflies is x best The position of the brightest firefly in the last algorithm iteration is obtained;
step 4, adding a weight factor to dynamically adjust global search at the initial stage of the algorithm and local search at the later stage of the algorithm according to the formula (6), avoiding the algorithm from sinking into convergence prematurely, and updating the space position of fireflies:
omega in 1 ,ω 2 As the self-adaptive adjustment factor, the formula (6) is an improved movement formula of the formula (5);
step 5, restraining fireflies exceeding the search space according to the formula (7), and ensuring that the fireflies are still within a feasible solution range, namely ensuring that the planted trees are in the equally divided area:
wherein T and T are the current iteration number and the maximum iteration number, w respectively max For adjusting maximum value of weight factor, w min Taking a constant for the adjustment minimum value of the weight factor; w (w) 1 And w 2 Representing the optimal individual position x of firefly toward history j The speed of approach;
step 6, judging whether the cycle is ended, and jumping to the step 7 when the searching times reach the maximum iteration times; otherwise, the searching times are increased once, and the step 2 is skipped to perform the next searching;
step 7, outputting a global optimal individual value searched by a heuristic firefly algorithm as an algorithm optimal solution, namely an optimal solution of an optimization model objective function;
and 8, stopping iteration when the condition is met, and outputting a result.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310400598.2A CN116430930A (en) | 2023-04-14 | 2023-04-14 | Forest farm environment balance adjustment equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310400598.2A CN116430930A (en) | 2023-04-14 | 2023-04-14 | Forest farm environment balance adjustment equipment |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116430930A true CN116430930A (en) | 2023-07-14 |
Family
ID=87082849
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310400598.2A Pending CN116430930A (en) | 2023-04-14 | 2023-04-14 | Forest farm environment balance adjustment equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116430930A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117970988A (en) * | 2024-04-01 | 2024-05-03 | 深圳市光脉电子有限公司 | Control method and related equipment for laser element processing environment |
-
2023
- 2023-04-14 CN CN202310400598.2A patent/CN116430930A/en active Pending
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117970988A (en) * | 2024-04-01 | 2024-05-03 | 深圳市光脉电子有限公司 | Control method and related equipment for laser element processing environment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP6506444B2 (en) | Carbon dioxide application system, carbon dioxide control device, carbon dioxide application method and program | |
CN103605385B (en) | A kind of CO for heliogreenhouse 2the fertile finely regulating method of gas | |
CN106842923A (en) | Greenhouse multiple-factor control method for coordinating based on plant physiology and energy optimization | |
CN108614601B (en) | Facility light environment regulation and control method fused with random forest algorithm | |
CN103218669A (en) | Intelligent live fish cultivation water quality comprehensive forecasting method | |
CN116430930A (en) | Forest farm environment balance adjustment equipment | |
CN110906986A (en) | Grassland ecological monitoring system and method based on Internet of things | |
CN114077269B (en) | Greenhouse environment prediction and optimization control method based on data-driven model | |
CN111435260A (en) | Plant growth environment parameter monitoring and environment simulation system | |
CN105242723A (en) | Internet of things-based livestock breeding environment automatic adjustment and control system and adjustment and control method | |
CN115907366A (en) | Agricultural product growth environment optimal regulation and control method and equipment based on flamingo algorithm | |
Li et al. | Determining optimal CO2 concentration of greenhouse tomato based on PSO-SVM | |
CN107015590A (en) | A kind of hen house cultivation surroundings monitoring system and method based on Arduino | |
CN106875067A (en) | The method of greenhouse carbon dioxide concentration prediction model when building winter fine day | |
Morozova | Methodology for controlling greenhouse microclimate parameters and yield forecast using neural network technologies | |
CN110073857A (en) | A kind of greenhouse facade ventilating and thermal insulating global anti-wind system and control method | |
CN114707952A (en) | Intelligent planting monitoring method and system | |
Ahzami et al. | Implementation of Monitoring and Prediction of Humidity, Temperature, and Light Using a Support Vector Machine (SVM) for Orchid Greenhouses in Lembang | |
Han et al. | Intelligent greenhouse information collection and control system based on Internet of things | |
Neethu et al. | Greenhouse monitoring and controlling using modified k means clustering algorithm | |
CN116224870B (en) | Intelligent planting environment control system and method based on multi-network fusion and plant photosynthesis feedback | |
Shi et al. | Development and trend of intelligent monitoring system for greenhouse | |
Markvart et al. | IntelliGrow 2.0–A greenhouse component-based climate control system | |
CN115191258B (en) | Light filling system is planted to facility | |
Nederhoff et al. | Measurement and simulation of crop photosynthesis of cucumber (Cucumis sativus L.) in greenhouses. |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |