Fruit and vegetable growth promoting system for agricultural greenhouse

Abstract

The invention particularly relates to a fruit and vegetable growth promoting system for an agricultural greenhouse. The system comprises the following parts: a carbon dioxide concentration diagnosis module; a state grade determination module; a judgment and analysis module; and an equipment fault analysis module. In the invention, the carbon dioxide concentration diagnosis module finely divides and monitors the space in the greenhouse, accurately calculates a judgment coefficient in combination with the carbon dioxide concentration range required by the growth of fruits and vegetables, and further determines the state grade of the carbon dioxide concentration in the greenhouse according to the judgment coefficient, so that when the carbon dioxide concentration is slightly or heavily abnormal, the carbon dioxide concentration can be accurately detected. The operation power of the carbon dioxide generator can be accurately adjusted according to the judgment coefficient deviation coefficient, and it is ensured that the carbon dioxide concentration in the greenhouse is always kept at the level suitable for fruit and vegetable growth.

Description

Technical Field

[0001] The present invention relates to the technical field of agriculture, and particularly to a system for promoting the growth of fruits and vegetables in agricultural greenhouses. Background Art

[0002] In the actual production process of agricultural greenhouses, the demand for carbon dioxide by plants shows obvious differences at different growth stages. When the carbon dioxide concentration in the greenhouse is lower than the appropriate level required for the growth of fruits and vegetables, the carbon dioxide concentration in the greenhouse can be adjusted by starting a carbon dioxide generator to make the carbon dioxide distribution in the greenhouse uniform, creating good conditions for the growth of fruits and vegetables.

[0003] There are certain limitations in the traditional method of adjusting the carbon dioxide concentration in agricultural greenhouses: It mainly relies on the experience of growers to control and adjust the equipment, and it is difficult to accurately grasp the timing and duration. For example, excessive adjustment will waste carbon dioxide gas sources and energy, and even damage fruits and vegetables; while insufficient adjustment cannot meet the photosynthetic needs of fruits and vegetables, affecting their growth, yield and quality; Moreover, when the carbon dioxide generator fails, due to the lack of an effective fault diagnosis mechanism, it is difficult for growers to quickly and accurately determine the problem, resulting in untimely discovery of equipment failures, further affecting the carbon dioxide concentration control effect in the greenhouse, and bringing serious potential threats to the growth of fruits and vegetables.

[0004] Therefore, a system for promoting the growth of fruits and vegetables in agricultural greenhouses is needed to solve the above-mentioned problems. Summary of the Invention

[0005] The purpose of the present invention is to provide a system for promoting the growth of fruits and vegetables in agricultural greenhouses to solve the above problems.

[0006] To achieve the above purpose, the present invention adopts the following technical solutions: A system for promoting the growth of fruits and vegetables in agricultural greenhouses includes the following parts: Carbon dioxide concentration diagnosis module: After monitoring and analyzing the carbon dioxide concentration in the greenhouse, it comprehensively analyzes the carbon dioxide concentration required for the current growth state of fruits and vegetables in the greenhouse to obtain a judgment coefficient ; Status level determination module: Matches the judgment coefficient with three preset coefficient value ranges respectively corresponding to a status level, and obtains the status level corresponding to the judgment coefficient , where the status levels are normal, slightly abnormal, and severely abnormal; based on the status level corresponding to the judgment coefficient , corresponding operations are performed on the carbon dioxide generator; Judgment and analysis module: The obtained judgment coefficient Analyze in combination with the carbon dioxide generator to determine whether the carbon dioxide generator is faulty; Equipment fault analysis module: Analyze the relevant parameters of the carbon dioxide generator to obtain the evaluation index corresponding to the carbon dioxide generator , and based on the obtained evaluation index Perform corresponding operations.

[0007] Preferably, the system further includes an estimated adjustment duration module: Record the start time of the carbon dioxide generator as the initial time. After the initial time, monitor the carbon dioxide concentration in each sub - space area of the greenhouse at a set time interval, and record the time of each carbon dioxide concentration monitoring as the monitoring time point; Obtain the judgment coefficient corresponding to each monitoring time point , and successively match each judgment coefficient with the status level in chronological order until the status level corresponding to the judgment coefficient is normal. Record the duration between the monitoring time point corresponding to this judgment coefficient and the initial time as the estimated adjustment duration; Among them, the estimated adjustment duration can be divided into the estimated adjustment duration corresponding to mild abnormality and the estimated adjustment duration corresponding to severe abnormality according to the level corresponding to the judgment coefficient .

[0008] Preferably, the combination of the obtained judgment coefficient with the carbon dioxide generator to analyze whether the carbon dioxide generator is faulty specifically includes the following parts: Preset the allowable fluctuation range of the estimated adjustment duration. Starting from the initial time when the carbon dioxide generator is turned on, when the time reaches the estimated adjustment duration and covers the time nodes involved in its fluctuation range, obtain the carbon dioxide concentration in each sub - space area of the greenhouse at this time, and then calculate the corresponding judgment coefficient , and match this judgment coefficient with the status level. If the status level corresponding to the judgment coefficient is not in the normal level, trigger the fault analysis of the carbon dioxide generator.

[0009] Preferably, the corresponding operation on the carbon dioxide generator based on the status level corresponding to the judgment coefficient specifically includes the following process: When the status level is normal, the carbon dioxide generator does not start, monitor the carbon dioxide concentration in each sub - space area of the greenhouse at a set time interval, and obtain the judgment coefficient corresponding to the carbon dioxide concentration in each sub - space area monitored at each time interval; When the status level is mildly abnormal, extract the minimum normal judgment coefficient within the value range of the judgment coefficient when the status level is normal, and divide the difference between the minimum normal judgment coefficient and the judgment coefficient by the minimum normal judgment coefficient to obtain the judgment coefficient deviation coefficient; match the judgment coefficient deviation coefficient with the preset value ranges of three groups of coefficients, and each of the preset value ranges of three groups of coefficients corresponds to a control level, so as to obtain the control level corresponding to the judgment coefficient deviation coefficient, where the control levels are divided into level one, level two, and level three; perform corresponding operations according to the control level corresponding to the judgment coefficient deviation coefficient; When the status level is severely abnormal, control the carbon dioxide generator to continuously operate at the maximum operating power according to the estimated adjustment duration; obtain the judgment coefficient at set time intervals until the status level corresponding to the obtained judgment coefficient is mildly abnormal. Preferably, after monitoring and analyzing the carbon dioxide concentration in the greenhouse, a comprehensive analysis is carried out in combination with the carbon dioxide concentration required for the current growth state of the fruits and vegetables in the greenhouse. The specific process includes:

[0010] According to the set spatial dimensions, divide the internal space of the greenhouse along the vertical direction of the space to obtain several vertical sub-space regions with the same bottom area, and each sub-space region includes the bottom and the top of the greenhouse. Monitor the carbon dioxide concentration of each sub-space region at set time intervals to obtain the carbon dioxide concentration of each sub-space region at each monitoring time point; Obtain the value range of the carbon dioxide concentration required for the fruits and vegetables planted in the greenhouse, extract the lowest carbon dioxide concentration value within the value range of the carbon dioxide concentration, and record the lowest carbon dioxide concentration value as the concentration minimum value; Sum up the carbon dioxide concentration values monitored at each monitoring time point for each sub-space region in turn, and then divide by the number of monitoring times to obtain the average carbon dioxide concentration; Compare the average carbon dioxide concentration of each sub-space region with the concentration minimum value in turn, record the average carbon dioxide concentration lower than the concentration minimum value as the deviation value, and accumulate the number of deviation values to obtain the total number of deviation values; divide the total number of deviation values by the total number of sub-space regions to obtain the deviation ratio; ​Obtain the carbon dioxide concentration values of each subspace region at each monitoring time point, and calculate the difference between the carbon dioxide concentration values of each subspace region at each monitoring time point and the carbon dioxide concentration values of its adjacent subspace regions, so as to obtain the carbon dioxide concentration difference between adjacent subspace regions at each monitoring time point; preset the allowable range of the carbon dioxide concentration difference, mark the carbon dioxide concentration differences that are not within the allowable range of the carbon dioxide concentration difference as abnormal concentration differences, sequentially obtain the abnormal concentration differences corresponding to each adjacent subspace region at each monitoring time point, accumulate the number of abnormal concentration differences at all monitoring time points, and divide the number of abnormal concentration differences at all monitoring time points by the total number of carbon dioxide concentration difference quantities at each monitoring time point to obtain the abnormal deviation; Obtain the carbon dioxide concentration values outside the greenhouse at each monitoring time point, sequentially subtract the carbon dioxide concentration value of each subspace region at each monitoring time point from the carbon dioxide concentration value outside the greenhouse at that monitoring time point to obtain the carbon dioxide concentration difference between the subspace region and the outside of the greenhouse at each monitoring time point and mark it as the internal and external concentration difference, count the internal and external concentration differences less than zero, and mark the smallest internal and external concentration difference among the internal and external concentration differences less than zero as the concentration extreme difference; Mark the deviation ratio, abnormal deviation, and internal and external difference ratio as 、 、 And substitute them into the formula: to obtain the judgment coefficient ; where 、 、 are the maximum deviation ratio, maximum abnormal deviation, and maximum internal and external difference ratio respectively, 、 、 are the weight factors corresponding to the deviation ratio, abnormal deviation, and internal and external difference ratio respectively.

[0011] Preferably, analyzing the relevant parameters of the carbon dioxide generator to obtain the evaluation index corresponding to the carbon dioxide generator, the specific process includes: Obtain the difference between the average carbon dioxide concentration and the lowest concentration value of each subspace region, and combine the volume and estimated adjustment duration of each subspace region to obtain the lowest standard flow rate of carbon dioxide output by the carbon dioxide generator; Monitor the carbon dioxide flow rate at the outlet of the carbon dioxide generator at set time intervals, and record the moment of each monitoring of the carbon dioxide flow rate at the outlet of the carbon dioxide generator as a concentration monitoring point; obtain the carbon dioxide flow rate at the outlet of the carbon dioxide generator at each concentration monitoring point, and record the carbon dioxide flow rate at the outlet of the carbon dioxide generator that is lower than the minimum standard flow rate of carbon dioxide and its quantity; divide the quantity of the carbon dioxide flow rate at the outlet of the carbon dioxide generator that is lower than the minimum standard flow rate monitored at each concentration monitoring point by the total number of monitoring points to obtain a difference value; Obtain the carbon dioxide purity at the outlet of the carbon dioxide generator at each concentration monitoring point, and perform a summation calculation on the carbon dioxide purity at each concentration monitoring point and then divide by the number of concentration monitoring points to obtain an average purity; Obtain the pressure values at each monitoring position inside the gas transmission pipeline of the carbon dioxide generator, preset the allowable value range of the internal pipeline pressure, and record the pressure values that are not within the allowable value range of the internal pipeline pressure as abnormal pressure values; count the quantity of all abnormal pressure values and the pipeline lengths monitored by each abnormal pressure value, and perform a summation calculation on the pipeline lengths monitored by each abnormal pressure value to obtain the total abnormal pipeline length corresponding to all abnormal pressure values; Mark the difference value, average purity, and total abnormal pipeline length as 、 、 respectively, and substitute them into the formula: , to obtain the equipment anomaly value ; where 、 、 are the reference difference value, standard average purity, and maximum allowable total abnormal pipeline length respectively, 、 、 are the weight factors corresponding to the difference value, average purity, and total abnormal pipeline length respectively, is a preset structure coefficient.

[0012] Preferably, the process of obtaining the preset structure coefficient specifically includes: Obtain the area occupied by the projection of each air outlet of the carbon dioxide generator on the ground of the greenhouse, and obtain the area occupied by the projection of an object in the plane perpendicular to the wind direction that is in the same direction as the wind blown out of the air outlet within a preset distance below each air outlet of the carbon dioxide generator, and record it as the air outlet occupied area. Divide the air outlet occupied area of each air outlet by its corresponding air outlet area in turn to obtain the area occupation ratio; set the allowable range of the area occupation ratio, record the area occupation ratio that is not within the allowable range of the area occupation ratio as an abnormal area occupation ratio, count the quantity of all abnormal area occupation ratios, and divide the quantity of all abnormal area occupation ratios by the total number of air outlets to obtain an abnormal quantity ratio; Obtain the area occupied by the projections of the air outlets of the carbon dioxide generator on the ground of the greenhouse, and count the number of air outlets whose projections do not cover the greenhouse fruit and vegetable area. Divide the number of air outlets whose projections do not cover the greenhouse fruit and vegetable area by the total number of air outlets to obtain the missing ratio; Preset the weight factors corresponding to the abnormal quantity ratio and the missing ratio, and calculate the product of the abnormal quantity ratio and the missing ratio with their corresponding weight factors respectively, and then sum them to obtain the structural coefficient .

[0013] Preferably, the evaluation index corresponding to the carbon dioxide generator Perform corresponding operations, specifically including: Preset the evaluation index threshold corresponding to the carbon dioxide generator, and compare the evaluation index corresponding to the carbon dioxide generator with its evaluation index threshold: If the evaluation index is greater than the evaluation index threshold, record the position and number of the carbon dioxide generator corresponding to the evaluation index as equipment failure information, and send the equipment failure information to the smart terminal of the maintenance personnel; If the evaluation index is less than the evaluation index threshold, send the information on the need to adjust the exhaust fan supporting the carbon dioxide generator and the structural integrity inside the greenhouse to the smart terminal of the maintenance personnel; after receiving the information on the need to adjust the exhaust fan supporting the carbon dioxide generator and the structural integrity inside the greenhouse, the maintenance personnel perform maintenance inspection and processing on it.

[0014] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are: 1. The present invention finely divides and monitors the space inside the greenhouse through the carbon dioxide concentration diagnosis module, combines the carbon dioxide concentration range required for fruit and vegetable growth, accurately calculates the judgment coefficient, and then determines the carbon dioxide concentration status level in the greenhouse accordingly. This enables precise adjustment of the operating power of the carbon dioxide generator according to the deviation coefficient of the judgment coefficient when the carbon dioxide concentration shows mild or severe abnormalities, ensuring that the carbon dioxide concentration in the greenhouse always maintains at a level suitable for fruit and vegetable growth.

[0015] 2. The present invention, through the mutual cooperation of the judgment analysis module and the equipment failure analysis module, can not only timely judge whether the working state of the carbon dioxide generator is normal after the operation time of the carbon dioxide generator reaches the estimated adjustment time, but also comprehensively analyze relevant parameters of the carbon dioxide generator, such as gas flow rate, purity, pipeline pressure, and the rationality of the air outlet structure, etc., to obtain an evaluation index. According to the comparison between the evaluation index and the threshold, potential failure hazards can be detected in advance. Description of the Drawings

[0016] In the following description of exemplary embodiments in conjunction with the accompanying drawings, more details, features, and advantages of the present application are disclosed. In the drawings: Figure 1 is a flowchart of the present invention; Detailed implementation manners

[0017] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided so that the present application is comprehensive and complete, and fully conveys the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0018] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0019] Please refer to Figure 1 as shown, the present invention provides a technical solution: A system for promoting the growth of fruits and vegetables in an agricultural greenhouse, comprising the following parts: Carbon dioxide concentration diagnosis module: After monitoring and analyzing the carbon dioxide concentration in the greenhouse, and comprehensively analyzing in combination with the carbon dioxide concentration required for the current growth state of the fruits and vegetables in the greenhouse, a judgment coefficient is obtained , and the specific process includes: According to the set spatial dimensions, the internal space of the greenhouse is divided along the vertical direction of the space to obtain several vertical sub-space regions with the same bottom area, and each sub-space region includes the bottom and the top of the greenhouse. The carbon dioxide concentration of each sub-space region is monitored at a set time interval to obtain the carbon dioxide concentration of each sub-space region at each monitoring time point; the device used for carbon dioxide concentration monitoring is a carbon dioxide sensor; Obtain the value range of the carbon dioxide concentration required for the fruits and vegetables planted in the greenhouse, extract the lowest carbon dioxide concentration value within the value range of the carbon dioxide concentration, and record the lowest carbon dioxide concentration value as the lowest concentration value; The carbon dioxide concentration values monitored at each monitoring time point in each sub-space region are successively summed and then divided by the number of monitoring times to obtain the carbon dioxide concentration mean value; Compare the average carbon dioxide concentration of each subspace area with the lowest concentration value in turn. Record the average carbon dioxide concentration lower than the lowest concentration value as the deviation value, and accumulate the number of deviation values to obtain the total number of deviation values. Divide the total number of deviation values by the total number of subspace areas to obtain the deviation ratio. Obtain the carbon dioxide concentration values of each subspace area at each monitoring time point, and calculate the difference between the carbon dioxide concentration values of each subspace area at each monitoring time point and the carbon dioxide concentration values of its adjacent subspace areas, so as to obtain the carbon dioxide concentration difference between adjacent subspace areas at each monitoring time point. Preset the allowable range of the carbon dioxide concentration difference, mark the carbon dioxide concentration difference not within the allowable range of the carbon dioxide concentration difference as an abnormal concentration difference, obtain the abnormal concentration difference corresponding to each adjacent subspace area at each monitoring time point in turn, accumulate the number of abnormal concentration differences at all monitoring time points, and divide the number of abnormal concentration differences at all monitoring time points by the total number of carbon dioxide concentration differences at each monitoring time point to obtain the abnormal deviation. Obtain the carbon dioxide concentration values outside the greenhouse at each monitoring time point. Subtract the carbon dioxide concentration value outside the greenhouse at this monitoring time point from the carbon dioxide concentration value of each subspace area at each monitoring time point in turn to obtain the carbon dioxide concentration difference between the subspace area and the outside of the greenhouse at each monitoring time point and mark it as the internal and external concentration difference. Count the internal and external concentration differences less than zero, and mark the smallest internal and external concentration difference among the internal and external concentration differences less than zero as the concentration extreme value. Mark the deviation ratio, abnormal deviation, and internal and external difference ratio as , , and substitute them into the formula: , and obtain the judgment coefficient ; where , , are the maximum deviation ratio, maximum abnormal deviation, and maximum internal and external difference ratio respectively, , , are the weight factors corresponding to the deviation ratio, abnormal deviation, and internal and external difference ratio respectively; Status level determination module: Match the judgment coefficient with three groups of preset coefficient value ranges. Set three groups of coefficient value ranges corresponding to a status level respectively to obtain the status level corresponding to the judgment coefficient , where the status levels are normal, mild abnormality, and severe abnormality respectively; Based on the status level corresponding to the judgment coefficient , perform corresponding operations on the carbon dioxide generator. The specific process includes: When the status level is normal, the carbon dioxide generator does not start, monitors the carbon dioxide concentration in each sub - space area of the greenhouse at set time intervals, and obtains the judgment coefficients corresponding to the carbon dioxide concentrations in each sub - space area monitored at each time interval. When the status level is mildly abnormal, extract the minimum normal judgment coefficient within the value range of the judgment coefficient when the status level is normal, and divide the difference between the minimum normal judgment coefficient and the judgment coefficient by the minimum normal judgment coefficient to obtain the judgment coefficient deviation coefficient; match the judgment coefficient deviation coefficient with three preset coefficient value ranges, and each of the three preset coefficient value ranges corresponds to a control level to obtain the control level corresponding to the judgment coefficient deviation coefficient, where the control levels are divided into level one, level two, and level three; perform corresponding operations according to the control level corresponding to the judgment coefficient deviation coefficient, specifically including: When the control level corresponding to the judgment coefficient deviation coefficient is level one: preset the conventional operating power of the carbon dioxide generator, adjust the conventional operating power of the carbon dioxide generator through the judgment coefficient deviation coefficient, and control the carbon dioxide generator to operate intermittently according to the estimated adjustment duration with a set stop - running duration; obtain the judgment coefficient at set time intervals after the carbon dioxide generator starts until the status level corresponding to the obtained judgment coefficient is normal. When the control level corresponding to the judgment coefficient deviation coefficient is level two: on the basis of the control level corresponding to the judgment coefficient deviation coefficient being level one, reduce the set stop - running duration, and control the carbon dioxide generator to operate intermittently. When the control level corresponding to the judgment coefficient deviation coefficient is level three: on the basis of the control level corresponding to the judgment coefficient deviation coefficient being level two, control the carbon dioxide generator to operate continuously. When the status level is severely abnormal, control the carbon dioxide generator to operate continuously at the maximum operating power according to the estimated adjustment duration; obtain the judgment coefficient at set time intervals until the status level corresponding to the obtained judgment coefficient is mildly abnormal. Estimated adjustment duration module: Record the start time of the carbon dioxide generator as the initial time, monitor the carbon dioxide concentration in each sub - space area of the greenhouse at set time intervals after the initial time, and record the time of each carbon dioxide concentration monitoring as the monitoring time point; obtain the judgment coefficient corresponding to each monitoring time point , and successively match each judgment coefficient with the status level in chronological order until the status level corresponding to the judgment coefficient is normal, and record the duration between the monitoring time point corresponding to this judgment coefficient and the initial time as the estimated adjustment duration; among them, the estimated adjustment duration is based on the judgment coefficient The corresponding levels can be divided into the estimated adjustment duration corresponding to mild anomalies and the estimated adjustment duration corresponding to severe anomalies; Judgment and analysis module: The obtained judgment coefficient is combined with the carbon dioxide generator for analysis to determine whether the carbon dioxide generator is faulty, specifically including the following parts: Preset the allowable fluctuation range of the estimated adjustment duration. Starting from the initial moment when the carbon dioxide generator is turned on, when the time reaches the estimated adjustment duration and covers the time nodes involved in its fluctuation range, obtain the carbon dioxide concentration in each sub-space area of the greenhouse at this time, and then calculate the corresponding judgment coefficient , and this judgment coefficient is matched with the status level. If the status level corresponding to the judgment coefficient is not in the normal level, then trigger the fault analysis of the carbon dioxide generator; Equipment fault analysis module: Analyze the relevant parameters of the carbon dioxide generator to obtain the evaluation index corresponding to the carbon dioxide generator , and the specific process includes: Obtain the difference between the average carbon dioxide concentration and the lowest concentration value in each sub-space area, and combine the volume of each sub-space area and the estimated adjustment duration to obtain the minimum standard flow rate of carbon dioxide produced by the carbon dioxide generator; Monitor the carbon dioxide flow rate at the outlet of the carbon dioxide generator at a set time interval, and record the moment of each monitoring of the carbon dioxide flow rate at the outlet of the carbon dioxide generator as the concentration monitoring point; Obtain the carbon dioxide flow rate at the outlet of the carbon dioxide generator at each concentration monitoring point, and record the carbon dioxide flow rate at the outlet of the carbon dioxide generator that is lower than the minimum standard flow rate of carbon dioxide and its quantity; Divide the quantity of the carbon dioxide flow rate at the outlet of the carbon dioxide generator that is lower than the minimum standard flow rate monitored at each concentration monitoring point by the total number of monitoring points to obtain the difference value; Obtain the carbon dioxide purity at the outlet of the carbon dioxide generator at each concentration monitoring point, and sum up the carbon dioxide purities at each concentration monitoring point and then divide by the number of concentration monitoring points to obtain the average purity; Obtain the pressure values at each monitoring position inside the gas transmission pipeline of the carbon dioxide generator, preset the allowable value range of the internal pipeline pressure, and record the pressure values that are not within the allowable value range of the internal pipeline pressure as abnormal pressure values; Count the number of all abnormal pressure values and the pipeline lengths monitored by each abnormal pressure value, and sum up the pipeline lengths monitored by each abnormal pressure value to obtain the total abnormal pipeline length corresponding to all abnormal pressure values; Mark the difference value, average purity, and total abnormal pipeline length as , , and substitute into the formula: , to obtain the equipment outlier ; where , , are the reference difference value, the standard purity mean value, and the total length of the maximum allowable abnormal pipeline respectively, , , are the weight factors corresponding to the difference value, the purity mean value, and the total length of the abnormal pipeline respectively, is the preset structure coefficient; The preset structure coefficient The obtaining process specifically includes: Obtain the area occupied by the projections of the respective air outlets of the carbon dioxide generator on the greenhouse ground, and obtain the area occupied by the projections of the objects in the direction of the wind blown out by the air outlets within a preset distance below the respective air outlets of the carbon dioxide generator on the plane perpendicular to the wind direction, and record it as the air outlet occupied area. Divide the air outlet occupied area of each air outlet by its corresponding air outlet area in turn to obtain the area occupation ratio; set the allowable range of the area occupation ratio, record the area occupation ratio not within the allowable range of the area occupation ratio as the abnormal area occupation ratio, count the number of all abnormal area occupation ratios, and divide the number of all abnormal area occupation ratios by the total number of air outlets to obtain the abnormal quantity ratio; Obtain the area occupied by the projections of the respective air outlets of the carbon dioxide generator on the greenhouse ground, and count the number of air outlets whose projections do not include the greenhouse fruit and vegetable area. Divide the number of air outlets whose projections do not include the greenhouse fruit and vegetable area by the total number of air outlets to obtain the missing ratio; Preset the weight factors corresponding to the abnormal quantity ratio and the missing ratio, and multiply the abnormal quantity ratio and the missing ratio by their corresponding weight factors respectively and then sum them to obtain the structure coefficient ; Based on the evaluation index corresponding to the carbon dioxide generator, perform corresponding operations, specifically including: Preset the evaluation index threshold corresponding to the carbon dioxide generator, and compare the evaluation index corresponding to the carbon dioxide generator with its evaluation index threshold: If the evaluation index is greater than the evaluation index threshold, record the position and number of the carbon dioxide generator corresponding to the evaluation index as the equipment failure information, and send the equipment failure information to the intelligent terminal of the maintenance personnel; If the evaluation index If the value is less than the evaluation index threshold, the information that the exhaust fan of the carbon dioxide generator and the structural integrity of the greenhouse need to be adjusted is sent to the intelligent terminal of the maintenance personnel; after receiving the information that the exhaust fan of the carbon dioxide generator and the structural integrity of the greenhouse need to be adjusted, the maintenance personnel will perform maintenance inspection and processing; The maintenance inspection includes checking the electrical circuits, rotation speed, wind direction, damage to the blades of each exhaust fan, and blockage of the air inlet and outlet of each exhaust fan. The structural integrity of the interior of the greenhouse includes the connection nodes of the greenhouse frame, the sealing of the covering materials, the wall support parts, etc. The specific operation details can be flexibly set by technical personnel in this field according to actual working conditions.

[0020] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factor and specific coefficient value in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0021] The above description of the embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A system for promoting the growth of fruits and vegetables for agricultural greenhouses, characterized in that: Includes the following sections: Carbon dioxide concentration diagnosis module: After monitoring and analyzing the carbon dioxide concentration in the greenhouse, a comprehensive analysis is conducted based on the carbon dioxide concentration required for the current growth status of fruits and vegetables in the greenhouse to obtain the judgment coefficient ; Status level determination module: the judgment coefficient Match the three preset coefficient value ranges, set up three coefficient value ranges corresponding to a state level, and get the judgment coefficient The corresponding status level, where the status levels are normal, slightly abnormal, and severely abnormal; based on the judgment coefficient The corresponding status level performs corresponding operations on the carbon dioxide generator; Judgment analysis module: the obtained judgment coefficient Combined with the CO2 generator for analysis to determine whether the CO2 generator is faulty; Equipment failure analysis module: Analyze the relevant parameters of the carbon dioxide generator and obtain the corresponding evaluation index of the carbon dioxide generator , and based on the evaluation index obtained Perform corresponding operations.

2. The fruit and vegetable growth promoting system for agricultural greenhouses according to claim 1, characterized in that: The system also includes a module for estimating adjustment time: The start time of the carbon dioxide generator is recorded as the initial time. After the initial time, the carbon dioxide concentration of each subspace area in the greenhouse is monitored at a set time interval. The time of each monitoring of the carbon dioxide concentration is recorded as the monitoring time point; the judgment coefficient corresponding to each monitoring time point is obtained. , and each judgment coefficient is sequentially Match with the status level until the judgment coefficient When the corresponding status level is normal, the judgment coefficient The time between the corresponding monitoring time point and the initial time is recorded as the estimated adjustment time; the estimated adjustment time is based on the judgment coefficient The corresponding levels can be divided into estimated adjustment time corresponding to mild abnormalities and estimated adjustment time corresponding to severe abnormalities.

3. The fruit and vegetable growth promoting system for agricultural greenhouses according to claim 1, characterized in that: The judgment coefficient to be obtained Combined with the analysis of the carbon dioxide generator to determine whether the carbon dioxide generator is faulty, specifically including the following parts: The allowable fluctuation range of the estimated adjustment time is preset. From the initial moment when the carbon dioxide generator is turned on, when the time reaches the estimated adjustment time and covers the time nodes involved in its fluctuation range, the carbon dioxide concentration of each subspace area in the greenhouse at this time is obtained, and then the corresponding judgment coefficient is calculated. , and the judgment coefficient Match with the status level, if the judgment coefficient When the corresponding status level is not at a normal level, a fault analysis of the carbon dioxide generator is triggered.

4. The fruit and vegetable growth promoting system for agricultural greenhouses according to claim 2, characterized in that: The judgment coefficient The corresponding status level performs corresponding operations on the carbon dioxide generator, and the specific process includes: When the status level is normal, the carbon dioxide generator is not started, and the carbon dioxide concentration of each subspace area in the greenhouse is monitored at a set time interval, and the judgment coefficient corresponding to the carbon dioxide concentration of each subspace area monitored at each time interval is obtained; When the status level is slightly abnormal, extract the minimum normal judgment coefficient within the value range of the judgment coefficient when the status level is normal, and compare the minimum normal judgment coefficient with the judgment coefficient After the difference calculation is performed, the judgment coefficient deviation coefficient is obtained by dividing it by the minimum normal judgment coefficient; the judgment coefficient deviation coefficient is matched with the preset three sets of coefficient value ranges, and the preset three sets of coefficient value ranges correspond to a control level respectively, and the control level corresponding to the judgment coefficient deviation coefficient is obtained, wherein the control levels are divided into level one, level two and level three; corresponding operations are performed according to the control level corresponding to the judgment coefficient deviation coefficient; When the status level is severely abnormal, the carbon dioxide generator is controlled to continue to operate at the maximum operating power according to the estimated adjustment time; the judgment coefficient is obtained at set time intervals until the status level corresponding to the obtained judgment coefficient is slightly abnormal.

5. The fruit and vegetable growth promoting system for agricultural greenhouses according to claim 1, characterized in that: After monitoring and analyzing the carbon dioxide concentration in the greenhouse, a comprehensive analysis is performed in combination with the carbon dioxide concentration required for the current growth state of the fruits and vegetables in the greenhouse. The specific process includes: According to the set space size, the internal space of the greenhouse is divided along the vertical direction of the space to obtain a number of vertical subspace areas with the same bottom area, and each subspace area includes the bottom and top of the greenhouse. The carbon dioxide concentration of each subspace area is monitored at a set time interval to obtain the carbon dioxide concentration of each subspace area at each monitoring time point; Obtain the carbon dioxide concentration value range required for fruits and vegetables grown in the greenhouse, extract the lowest carbon dioxide concentration value within the carbon dioxide concentration value range, and record the lowest carbon dioxide concentration value as the lowest concentration value; The carbon dioxide concentration values ​​monitored in each subspace area at each monitoring time point are summed up and divided by the number of monitoring times to obtain the mean carbon dioxide concentration; The mean carbon dioxide concentration of each subspace area is compared with the minimum concentration in turn, and the mean carbon dioxide concentration lower than the minimum concentration is recorded as a deviation value, and the number of deviation values ​​is accumulated to obtain the total number of deviation values; the total number of deviation values ​​is divided by the total number of subspace areas to obtain the deviation ratio; Obtain the carbon dioxide concentration value of each subspace area at each monitoring time point, and perform difference calculation between the carbon dioxide concentration value of each subspace area at each monitoring time point and the carbon dioxide concentration value of its adjacent subspace area, so as to obtain the carbon dioxide concentration difference of adjacent subspace areas at each monitoring time point; preset the allowable range of carbon dioxide concentration difference, mark the carbon dioxide concentration difference that is not within the allowable range of carbon dioxide concentration difference as abnormal concentration difference, obtain the abnormal concentration difference corresponding to each adjacent subspace area at each monitoring time point in turn, accumulate the number of abnormal concentration differences of all monitoring time points, and divide the number of abnormal concentration differences of all monitoring time points by the total number of carbon dioxide concentration differences of each monitoring time point to obtain the abnormal deviation; Obtain the carbon dioxide concentration value outside the greenhouse at each monitoring time point, and subtract the carbon dioxide concentration value outside the greenhouse at each monitoring time point from the carbon dioxide concentration value of each subspace area at each monitoring time point to obtain the carbon dioxide concentration difference between the subspace area and the outside of the greenhouse at each monitoring time point and mark it as the internal and external concentration difference, count the internal and external concentration differences less than zero, and mark the smallest internal and external concentration difference among the internal and external concentration differences less than zero as the concentration extreme difference; The deviation ratio, abnormal deviation, and internal and external difference ratio are marked as , , And substitute into the formula: , and get the judgment coefficient ;in , , They are the maximum deviation ratio, the maximum abnormal deviation, and the maximum internal and external difference ratio. , , They are the weight factors corresponding to the deviation ratio, abnormal deviation, and internal and external difference ratio respectively.

6. The fruit and vegetable growth promoting system for agricultural greenhouses according to claim 1, characterized in that: The relevant parameters of the carbon dioxide generator are analyzed to obtain the evaluation index corresponding to the carbon dioxide generator. The specific process includes: Obtain the difference between the mean value of the carbon dioxide concentration in each subspace area and the minimum value of the concentration, and combine the volume of each subspace area and the estimated adjustment time to obtain the minimum standard flow rate of carbon dioxide produced by the carbon dioxide generator; The carbon dioxide flow rate at the outlet of the carbon dioxide generator is monitored at set time intervals, and the moment of each monitoring of the carbon dioxide flow rate at the outlet of the carbon dioxide generator is recorded as a concentration monitoring point; the carbon dioxide flow rate at the outlet of the carbon dioxide generator at each concentration monitoring point is obtained, and the carbon dioxide flow rate at the outlet of the carbon dioxide generator lower than the minimum standard flow rate of carbon dioxide and its number are recorded; the number of carbon dioxide flow rates at the outlet of the carbon dioxide generator lower than the minimum standard flow rate of carbon dioxide monitored at each concentration monitoring point is divided by the total number of monitoring points to obtain a difference value; Obtain the purity of carbon dioxide at the outlet of the carbon dioxide generator at each concentration monitoring point, and sum the carbon dioxide purities at each concentration monitoring point and divide the sum by the number of concentration monitoring points to obtain a purity mean; Obtain the pressure values ​​of each monitoring position inside the gas transmission pipeline of the carbon dioxide generator, preset the allowable value range of the internal pressure of the pipeline, and record the pressure values ​​that are not within the allowable value range of the internal pressure of the pipeline as abnormal pressure values; count the number of all abnormal pressure values ​​and the pipeline length monitored by each abnormal pressure value, and sum and calculate the pipeline length monitored by each abnormal pressure value, so as to obtain the total abnormal pipeline length corresponding to all abnormal pressure values; The difference value, purity mean, and total length of abnormal pipelines are marked as , , And substitute into the formula: , get the device abnormal value ;in , , They are the reference difference value, the standard purity mean value, and the maximum allowable abnormal pipeline total length. , , are the weight factors corresponding to the difference value, purity mean, and total length of abnormal pipelines, respectively. is the preset structural coefficient.

7. The fruit and vegetable growth promoting system for agricultural greenhouses according to claim 1, characterized in that: The preset structural coefficient The acquisition process specifically includes: Obtain the area occupied by the projection of each air outlet of the carbon dioxide generator on the greenhouse ground, and obtain the air outlet area occupied by the projection of an object in the same direction as the wind blown out of the air outlet within a preset distance below each air outlet of the carbon dioxide generator on a plane perpendicular to the wind direction, and record it as the air outlet occupied area, and divide the air outlet occupied area of ​​each air outlet by its corresponding air outlet area in turn to obtain the area occupied ratio; establish an allowable range of the area occupied ratio, record the area occupied ratio that is not within the allowable range of the area occupied ratio as an abnormal area occupied ratio, count all the abnormal area occupied ratios, and divide all the abnormal area occupied ratios by the total number of air outlets to obtain the abnormal quantity ratio; Obtain the area occupied by the projections of each outlet of the carbon dioxide generator on the greenhouse ground, and count the number of outlets whose projections do not include the fruit and vegetable area of ​​the greenhouse, and divide the number of outlets whose projections do not include the fruit and vegetable area of ​​the greenhouse by the total number of outlets to obtain the missing ratio; The weight factors corresponding to the abnormal quantity ratio and missing ratio are preset, and the structural coefficient is obtained by multiplying the abnormal quantity ratio and missing ratio with their corresponding weight factors and then summing them up. .

8. The system for promoting the growth of fruits and vegetables for agricultural greenhouses according to claim 6, characterized in that: Based on the evaluation index obtained Perform corresponding operations, including: The evaluation index threshold corresponding to the carbon dioxide generator is preset, and the evaluation index corresponding to the carbon dioxide generator is Compare with its evaluation index threshold: If the evaluation index If it is greater than the evaluation index threshold, the evaluation index The location and number of the corresponding carbon dioxide generator are recorded as equipment fault information, and the equipment fault information is sent to the intelligent terminal of the maintenance personnel; If the evaluation index If the value is less than the evaluation index threshold, the information that the exhaust fan of the carbon dioxide generator and the structural integrity of the interior of the greenhouse need to be adjusted will be sent to the maintenance personnel's smart terminal; after receiving the information that the exhaust fan of the carbon dioxide generator and the structural integrity of the interior of the greenhouse need to be adjusted, the maintenance personnel will perform maintenance inspection on it.

Images