A method and system for monitoring the planting environment of smart agriculture based on the Internet of Things

Abstract

The invention relates to the field of intelligent monitoring technology, and discloses a smart agricultural planting environment monitoring method and system based on the Internet of Things. During the monitoring period, a state perception module is used to monitor the changing state of an indoor planting environment to obtain an environmental dynamic value, and obtain an environmental positive subunit and an environmental non-fit subunit; an environmental assessment module is used to analyze and process the environmental positive subunit and the environmental non-fit subunit, obtain a state environmental assessment value of the indoor planting environment, and complete the assessment of the indoor planting environment. Based on an unqualified signal of the indoor planting environment, a linkage analysis module is used to monitor the operating state of an operating component of a fresh air fan system, and obtain an indoor planting environment interference component and an indoor planting environment non-interference component; based on the indoor planting environment interference component, an interference analysis module is used to evaluate the associated state of monitoring components in the fresh air fan system, and complete the dynamic correction of the monitoring components, so as to achieve improvement of the indoor planting environment.

Description

Technical Field

[0001] The present invention relates to the field of intelligent monitoring technology, and in particular to a method and system for monitoring a smart agricultural planting environment based on the Internet of Things. Background Art

[0002] The smart agricultural planting environment of the Internet of Things is mainly adjusted through a series of intelligent devices to achieve precise, efficient and sustainable agricultural production. At this stage, it is mainly used in greenhouse or indoor environment planting processes.

[0003] At present, the intelligent perception system of indoor planting environment changes of the fresh air fan system mainly relies on the intelligent monitoring system. The system can make real-time judgments on the quality of the environment through built-in monitoring equipment, and automatically adjust the operating mode according to the environmental quality to provide the best indoor planting environment.

[0004] In the prior art, when the indoor planting environment is not up to standard, there is a lack of correlation analysis on the fresh air fan system, and the operating status of the fresh air fan system cannot be monitored in a timely and effective manner. Summary of the invention

[0005] The purpose of the present invention is to provide a smart agricultural planting environment monitoring method and system based on the Internet of Things. An environmental dynamic value curve is established based on the environmental dynamic value of an environmental non-fit unit, and then a unit validation risk deviation curve is established based on the unit validation risk deviation value matched by the environmental non-fit unit. The environmental dynamic value curve and the unit validation risk deviation curve are compared and analyzed, that is, the development trend of the unit validation risk deviation curve is judged based on the environmental dynamic value curve, so as to identify the correlation between the unit validation risk deviation corresponding to the monitoring component and the development trend of the environmental dynamic value, so as to maintain good operation of the monitoring component in the fresh air fan system by correcting the monitoring component, so as to adapt the fresh air fan system to the optimization of the current indoor planting environment.

[0006] The purpose of the present invention can be achieved by the following technical solutions:

[0007] A smart agricultural planting environment monitoring method based on the Internet of Things, including a state perception module, an environmental assessment module, a linkage analysis module and an interference analysis module;

[0008] During the monitoring period, the state perception module is used to monitor the changing state of the indoor planting environment to obtain the environmental dynamic value, and obtain the environmental positive sub-unit and the environmental non-suitable sub-unit;

[0009] The environmental assessment module is used to analyze and process the environmentally suitable subunits and the environmentally unsuitable subunits, obtain the environmental assessment value of the indoor planting environment, complete the assessment of the indoor planting environment based on the environmental assessment value, and obtain the qualified signal of the indoor planting environment and the unqualified signal of the indoor planting environment;

[0010] Based on the unqualified signal of the indoor planting environment, the linkage analysis module is used to monitor the operating status of the operating components of the fresh air fan system to obtain the indoor planting environment interference components and the indoor planting environment non-interference components;

[0011] Based on the interference components of the indoor planting environment, the interference analysis module is used to perform trend evaluation on the correlation status of the monitoring components in the fresh air fan system and complete dynamic correction of the monitoring components.

[0012] As a further solution of the present invention: the process of dividing the environment-fit subunit and the environment-unfit subunit is as follows:

[0013] Divide the monitoring cycle into several monitoring sub-units according to the length of time;

[0014] Obtaining environmental status data of the monitoring subunit, and obtaining an environmental dynamic value of the monitoring subunit according to the environmental status data;

[0015] If the environmental dynamic value of the monitoring subunit is greater than or equal to the environmental dynamic threshold of the monitoring subunit, the monitoring subunit is recorded as an environmentally suitable subunit;

[0016] If the environmental dynamic value of the monitoring subunit is less than the environmental dynamic threshold of the monitoring subunit, the monitoring subunit is recorded as an environmentally unsuitable subunit.

[0017] As a further solution of the present invention: the process of obtaining the environmental dynamic value is:

[0018] The environmental status data includes a temperature characterization value of the monitoring subunit, a humidity characterization value of the monitoring subunit, and a dust characterization value of the monitoring subunit;

[0019] The temperature characterization value of the monitoring subunit is recorded as Wbi;

[0020] The humidity characterization value of the monitoring subunit is recorded as Sb i;

[0021] The dust characterization value of the monitoring subunit is recorded as Fb i;

[0022] By formula The environmental dynamic value Hi of the monitoring subunit is calculated, where wbi is the standard temperature value of the fresh air fan system, and sbi is the standard humidity value of the fresh air fan system.

[0023] As a further solution of the present invention: the process of obtaining the state environmental assessment value is:

[0024] Get the environmental positive base ratio and environmental positive non-environment ratio;

[0025] The environmental positive and suitable base ratio is multiplied by the environmental positive and non-environmental ratio to obtain the environmental positive and suitable effective base ratio during the monitoring period;

[0026] Integrate the environmental dynamic values ​​of all monitoring sub-units within the monitoring period to obtain the environmental dynamic value corresponding to the monitoring period, and obtain the environmental dynamic variance value of the environmental dynamic value group;

[0027] The environmental suitability effective base value is processed with the environmental dynamic variance value to obtain the environmental assessment value of the status within the monitoring period.

[0028] As a further solution of the present invention: the environmental fitness cardinality ratio is the ratio of the number of environmental fitness subunits to the number of monitoring subunits;

[0029] The environmental positive non-environmental ratio is the ratio of the environmental positive deviation value of the environmental positive suitable subunit to the environmental negative deviation value of the environmental positive suitable subunit;

[0030] Among them, the difference between the environmental dynamic mean value of the environmental positive subunit and the environmental dynamic threshold value of the monitoring subunit is the environmental positive deviation value of the environmental positive subunit;

[0031] The difference between the environmental dynamic mean of the environmental non-suitable subunit and the environmental dynamic threshold of the monitoring subunit is the environmental negative deviation value of the environmental non-suitable subunit.

[0032] As a further solution of the present invention: if the state environmental assessment value within the monitoring period is greater than or equal to the state environmental assessment threshold within the monitoring period, a qualified indoor planting environment signal is generated;

[0033] If the status environmental assessment value within the monitoring period is less than the status environmental assessment threshold within the monitoring period, an unqualified signal for the indoor planting environment is generated.

[0034] As a further solution of the present invention: each monitoring subunit acquires the monitoring components required for monitoring when the fresh air fan system is running;

[0035] The components required to be monitored by the monitoring component are recorded as monitoring items;

[0036] The monitoring items in the monitoring components whose monitoring values ​​do not meet the monitoring value requirements of the monitoring items are recorded as validation items;

[0037] Calculate the ratio of the number of validation items to the number of monitoring items in the monitoring component to obtain the validation ratio of the monitoring component;

[0038] The deviation difference of the validation item is multiplied by the preset risk coefficient to obtain the validation risk value;

[0039] Sum the validation risk values ​​of each validation item in the monitoring component to obtain the total validation risk value of the monitoring component;

[0040] The verification ratio of the monitoring component is multiplied by the total verification risk value to obtain the verification risk coefficient of the monitoring component.

[0041] As a further solution of the present invention: summing up and averaging the validation risk coefficients in all environmentally suitable subunits to obtain the validation risk positive fitness value of the environmentally suitable subunit;

[0042] The validation risk coefficients in all environmental non-fit sub-units are summed and averaged to obtain the validation risk non-fit value of the environmental non-fit sub-unit;

[0043] The difference between the validation risk positive fit value of the environmentally suitable subunit and the validation risk non-fit value of the environmentally unsuitable subunit is calculated to obtain the unit validation risk deviation value;

[0044] If the unit validation risk deviation value is within the preset unit validation risk deviation value range, the corresponding monitoring component is recorded as a non-interference component in the indoor planting environment;

[0045] If the unit validation risk deviation value is outside the preset unit validation risk deviation value range, the corresponding monitoring component is recorded as an indoor planting environment interference component.

[0046] As a further solution of the present invention: obtaining the environmental dynamic values ​​and unit validation risk deviation values ​​of all environmental non-adaptive units;

[0047] Based on the environmental dynamic value of the environmental non-suitable sub-unit, an environmental dynamic value curve is established, and then a unit validation risk deviation curve is established based on the unit validation risk deviation value matched by the environmental non-suitable sub-unit.

[0048] As a further solution of the present invention: taking the environmental dynamic value curve as a benchmark, the development trend of the unit validation risk deviation curve is judged, so as to identify the correlation signal between the unit validation risk deviation corresponding to the monitoring component and the development trend of the environmental dynamic value;

[0049] The associated signals include component reverse interference signals, component forward interference signals, and component non-interference signals.

[0050] Beneficial effects of the present invention:

[0051] (1) The present invention fragments the monitoring cycle of the indoor planting environment and divides it into several monitoring subunits according to the time length, and then processes the environmental status data in each monitoring subunit, and processes the collected temperature characterization value, humidity characterization value and dust characterization value of the monitoring subunit to obtain the environmental dynamic value of the monitoring subunit, so as to evaluate the indoor planting environment from the dimensions of indoor temperature, humidity, dust level, etc., and record the monitoring subunit with good indoor planting environment suitability as an environmentally suitable subunit, and record the monitoring subunit with poor indoor planting environment suitability as an environmentally suitable subunit, and then analyze the number of environmentally suitable subunits and environmentally unsuitable subunits in all monitoring subunits in the monitoring cycle, the environmental dynamic value and the stability of the environmental dynamic value in all monitoring subunits in the monitoring cycle, so as to evaluate the indoor planting environment in the monitoring cycle with high accuracy and strong reliability;

[0052] (2) Based on the signal of the unqualified indoor planting environment, the present invention analyzes the reasons for the unqualified indoor planting environment and monitors the status of multiple monitoring components built into the fresh air fan system during operation, that is, by processing the monitoring items corresponding to the monitoring components, the effectiveness ratio and the total effectiveness risk value of the monitoring components are obtained, and then the effectiveness risk coefficient of each monitoring component in the fresh air fan system is obtained, and then the effectiveness risk coefficient of the corresponding monitoring component is subjected to difference comparison processing in the environmental positive sub-unit and the environmental non-suitable sub-unit, so as to evaluate whether the monitoring component is the cause of the environmental positive sub-unit and the environmental non-suitable sub-unit, thereby completing the judgment of the relationship between the environmental dynamic value in the monitoring sub-unit and the influence of the monitoring component;

[0053] (3) Based on the fact that the operation of the built-in monitoring component of the fresh air fan system interferes with the indoor planting environment, the present invention performs correlation analysis on the operating status of the monitoring component and the status of the indoor planting environment, establishes an environmental dynamic value curve based on the environmental dynamic value of the environmental non-fitness unit, and then establishes a unit validation risk deviation curve based on the unit validation risk deviation value matched by the environmental non-fitness unit. By taking the environmental dynamic value curve as a benchmark, the development trend of the unit validation risk deviation curve is judged, thereby identifying the correlation between the unit validation risk deviation corresponding to the monitoring component and the development trend of the environmental dynamic value, thereby correcting the monitoring component in the fresh air fan system. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The present invention will be further described below in conjunction with the accompanying drawings.

[0055] Figure 1 It is a flowchart of a smart agricultural planting environment monitoring system based on the Internet of Things according to an embodiment of the present invention;

[0056] Figure 2 This is a process flow chart of a smart agricultural planting environment monitoring system based on the Internet of Things according to an embodiment of the present invention;

[0057] Figure 3 This is a flow chart of monitoring subunit identification in a smart agricultural planting environment monitoring system based on the Internet of Things in an embodiment of the present invention;

[0058] Figure 4 It is a flow chart of indoor planting environment signal recognition in a smart agricultural planting environment monitoring system based on the Internet of Things in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] Example 1

[0061] See also Figure 1-Figure 2 As shown, the present invention is a smart agricultural planting environment monitoring system based on the Internet of Things, including a state perception module, an environmental assessment module, a linkage analysis module and an interference analysis module;

[0062] During the monitoring period, the state perception module is used to monitor the changing state of the indoor planting environment and obtain the environment suitable sub-units and environment unsuitable sub-units;

[0063] The environmental assessment module is used to analyze and process the environmentally suitable subunits and the environmentally unsuitable subunits, obtain the environmental assessment value of the indoor planting environment, complete the assessment of the indoor planting environment based on the environmental assessment value, and obtain the qualified signal of the indoor planting environment and the unqualified signal of the indoor planting environment;

[0064] Based on the unqualified signal of the indoor planting environment, the linkage analysis module is used to monitor the operating status of the operating components of the fresh air fan system to obtain the indoor planting environment interference components and the indoor planting environment non-interference components;

[0065] Based on the interference components of the indoor planting environment, the interference analysis module is used to perform trend evaluation on the correlation status of the monitoring components in the fresh air fan system and complete dynamic correction of the monitoring components.

[0066] Example 2

[0067] The state perception module identifies the changing state of the indoor planting environment to obtain the specific process of the environment suitable sub-unit and the environment unsuitable sub-unit:

[0068] In a specific embodiment:

[0069] Divide the monitoring cycle into several monitoring sub-units according to the length of time;

[0070] Obtain environmental status data of the monitoring subunit;

[0071] Environmental status data include temperature characterization value, humidity characterization value and dust characterization value;

[0072] The process of obtaining the temperature characterization value is as follows:

[0073] The maximum temperature value and the minimum temperature value in the monitoring subunit are collected, and the collected maximum temperature value and the minimum temperature value are summed and averaged to obtain the temperature characterization value of the monitoring subunit, which is recorded as Wbi;

[0074] Wherein, the temperature value in the monitoring subunit is obtained by monitoring through a temperature sensor;

[0075] The process of obtaining the humidity characterization value is as follows:

[0076] The humidity value at the intermediate moment in the monitoring subunit is collected, and the collected humidity value is recorded as the humidity characterization value, which is recorded as Sbi;

[0077] Wherein, the humidity value in the monitoring subunit is obtained by monitoring the humidity sensor;

[0078] The process of obtaining dust characterization value (particle concentration value) is as follows:

[0079] The dust concentration at the intermediate moment in the monitoring subunit is collected, and the collected dust concentration is recorded as the dust characterization value, recorded as Fbi;

[0080] Among them, the dust concentration value in the monitoring subunit is obtained by monitoring the dust sensor;

[0081] The collected temperature characterization value Wbi of the monitoring subunit, the humidity characterization value Sbi of the monitoring subunit, and the dust characterization value Fbi of the monitoring subunit are quantified and numerically calculated, that is, through the formula The environmental dynamic value H i of the monitoring subunit is calculated, where wbi is the standard temperature value of the fresh air fan system, and sbi is the standard humidity value of the fresh air fan system;

[0082] The standard temperature value of the fresh air fan system is set according to the needs of indoor planting. That is, the fresh air fan system will adjust the indoor planting temperature through the internal heating or cooling module to reach the standard temperature value of the fresh air fan system and provide a more suitable planting environment.

[0083] The standard humidity value of the fresh air fan system is set according to the needs of indoor planting. That is, the fresh air fan system will adjust the indoor planting humidity through the internal humidification or dehumidification module to achieve the standard humidity value of the fresh air fan system and provide a more suitable planting environment.

[0084] From the above formula for obtaining the environmental dynamic value of the monitoring subunit, we can know that:

[0085] When the temperature characteristic value of the monitoring subunit is closer to the standard temperature value of the fresh air fan system, within this temperature range, the temperature of indoor planting is more in line with the preset standard, and the operation status of the fresh air fan system is good so that the indoor planting temperature reaches the set requirements, thereby providing a more suitable planting environment;

[0086] When the temperature characteristic value of the monitoring subunit is closer to the standard humidity value of the fresh air fan system, the humidity of indoor planting is more in line with the preset standard within this humidity range. The operation status of the fresh air fan system is good so that the indoor planting humidity reaches the set requirements to provide a more suitable planting environment.

[0087] The smaller the dust characterization value of the monitoring sub-unit, the more the dust in the indoor planting environment meets the preset standard. The operating status of the fresh air fan system is good, so that the dust in the indoor planting environment meets the set requirements to provide a more suitable planting environment.

[0088] See also Figure 3 , compare the environmental dynamic value Hi of the monitoring subunit with the environmental dynamic threshold hi of the monitoring subunit;

[0089] If the environmental dynamic value Hi of the monitoring subunit is greater than or equal to the environmental dynamic threshold hi of the monitoring subunit, the monitoring subunit is recorded as an environmentally suitable subunit;

[0090] If the environmental dynamic value Hi of the monitoring subunit is less than the environmental dynamic threshold hi of the monitoring subunit, the monitoring subunit is recorded as an environmental inappropriate subunit.

[0091] The technical solution of the present invention is: fragmenting the monitoring cycle of the indoor planting environment, dividing it into several monitoring sub-units according to the time length, and then processing the environmental status data in each monitoring sub-unit, quantifying the collected temperature characterization value of the monitoring sub-unit, the humidity characterization value of the monitoring sub-unit and the dust characterization value of the monitoring sub-unit to obtain the environmental dynamic value of the monitoring sub-unit, so as to evaluate the indoor planting environment from the dimensions of temperature, humidity, dust level and the like of the indoor environment, recording the monitoring sub-unit with good suitability of the indoor planting environment as an environmentally suitable sub-unit, and recording the monitoring sub-unit with poor suitability of the indoor planting environment as an environmentally suitable sub-unit.

[0092] Example 3

[0093] The environmental assessment module analyzes and processes the environmentally suitable sub-units and the environmentally unsuitable sub-units. The specific process of evaluating the indoor planting environment is as follows:

[0094] In a specific embodiment:

[0095] The number of environmentally suitable subunits and the number of monitoring subunits are obtained, and the ratio of the number of environmentally suitable subunits to the number of monitoring subunits is calculated to obtain an environmentally suitable base ratio;

[0096] The environmental dynamic values ​​of all environmentally suitable subunits are summed up and averaged to obtain the environmental dynamic mean of the environmentally suitable subunits;

[0097] The environmental dynamic values ​​of all environmental non-fit sub-units are summed up and averaged to obtain the environmental dynamic mean of the environmental non-fit sub-units;

[0098] The difference between the environmental dynamic mean of the environmental positive subunit and the environmental dynamic threshold of the monitoring subunit is calculated to obtain the environmental positive deviation value of the environmental positive subunit;

[0099] The difference between the environmental dynamic threshold of the monitoring subunit and the environmental dynamic mean of the environmental non-suitable subunit is calculated to obtain the environmental negative deviation value of the environmentally suitable subunit;

[0100] The positive deviation value of the environment of the environment-positive subunit is calculated by ratio with the negative deviation value of the environment of the environment-positive subunit to obtain the positive non-environment ratio;

[0101] The environmental positive and suitable base ratio is multiplied by the environmental positive and non-environmental ratio to obtain the environmental positive and suitable effective base ratio during the monitoring period;

[0102] Integrate the environmental dynamic values ​​of all monitoring sub-units within the monitoring period to obtain the environmental dynamic value group corresponding to the monitoring period;

[0103] The environmental dynamic value group is processed according to the variance calculation formula to obtain the environmental dynamic variance value within the monitoring period;

[0104] The environmental suitability effective base number is processed by ratio with the environmental dynamic variance value to obtain the environmental assessment value of the state within the monitoring period;

[0105] It should be noted that: during the monitoring period, the greater the ratio of the number of environmentally suitable sub-units to the monitoring sub-units, the more environmentally suitable sub-units that meet the requirements during the monitoring period, the more suitable the indoor planting environment is, and the larger the obtained state environmental impact assessment value is; the larger the environmental dynamic mean of the environmentally suitable sub-units, the greater the deviation of the environmental dynamic value of the environmentally suitable sub-units from the environmental dynamic threshold, and the more suitable the indoor planting environment is; the larger the environmental dynamic mean of the environmentally unsuitable sub-units, the smaller the deviation of the environmental dynamic value of the environmentally unsuitable sub-units from the environmental dynamic threshold, and the more suitable the indoor planting environment is, that is, the larger the obtained positive-to-non-environment ratio is, the larger the obtained state environmental impact assessment value is; the smaller the fluctuation of the environmental dynamic values ​​of all monitoring sub-units during the monitoring period, the smaller the obtained environmental dynamic variance value is, which further indicates that the more stable all monitoring sub-units during the monitoring period are, the larger the obtained state environmental impact assessment value is, and the larger the state environmental impact assessment value is, the more stable and suitable the indoor planting environment is.

[0106] See also Figure 4 , compare the environmental impact assessment value of the state within the monitoring period with the environmental impact assessment threshold of the state within the monitoring period;

[0107] If the environmental assessment value of the state within the monitoring period is greater than or equal to the environmental assessment threshold of the state within the monitoring period, a qualified signal of the indoor planting environment is generated;

[0108] If the environmental assessment value of the state within the monitoring period is less than the environmental assessment threshold of the state within the monitoring period, an unqualified signal of the indoor planting environment is generated;

[0109] The technical solution of the present invention is: to analyze the number of environmentally suitable sub-units and environmentally unsuitable sub-units in all monitoring sub-units within the monitoring period, the environmental dynamic values ​​and the stability of the environmental dynamic values ​​in all monitoring sub-units within the monitoring period, so as to realize the evaluation of the indoor planting environment within the monitoring period.

[0110] Example 4

[0111] Based on the signal of unqualified indoor planting environment, the linkage analysis module monitors the operating status of the operating components of the fresh air fan system. The specific process is as follows;

[0112] In a specific embodiment:

[0113] Obtain the monitoring components required for monitoring during operation of the fresh air blower system in each monitoring sub-unit;

[0114] The components required to be monitored by the monitoring component are recorded as monitoring items;

[0115] Collect the monitoring value of each monitoring item in the monitoring component, and compare the monitoring value of the corresponding monitoring item with the monitoring value requirement of the monitoring item;

[0116] The monitoring items in the monitoring components whose monitoring values ​​do not meet the monitoring value requirements of the monitoring items are recorded as validation items;

[0117] The monitoring items in the monitoring components whose monitoring values ​​meet the monitoring value requirements of the monitoring items are recorded as stable items;

[0118] Obtain the number of validation items, calculate the ratio of the number of validation items to the number of monitoring items in the monitoring component, and obtain the validation ratio of the monitoring component;

[0119] Obtain the deviation value of the real-time data of the validation item compared to the required monitoring value of the monitoring item, which is recorded as the deviation difference of the validation item;

[0120] Obtain the preset risk coefficient of the corresponding validation item, multiply the deviation difference of the validation item by the preset risk coefficient to obtain the validation risk value;

[0121] Among them, the values ​​of the preset risk coefficients are all greater than zero. The larger the value of the preset risk coefficient, the greater the adverse impact of the deviation of the corresponding validation item on the safe operation of the fresh air fan system;

[0122] Obtain the validation risk value of each validation item in the monitoring component, and sum them up to obtain the total validation risk value of the monitoring component;

[0123] The verification ratio of the monitoring component is multiplied by the total verification risk value to obtain the verification risk coefficient of the monitoring component;

[0124] Identify each monitoring component that is monitored during operation of the new fan system;

[0125] Obtain the validation risk coefficient of the monitoring component in each environmental fitness subunit, and sum and average the validation risk coefficients in all environmental fitness subunits to obtain the validation risk fitness value of the environmental fitness subunit;

[0126] Obtain the validation risk coefficient of the monitoring component in each environmental non-fit sub-unit, and sum and average the validation risk coefficients in all environmental non-fit sub-units to obtain the validation risk non-fit value of the environmental non-fit sub-unit;

[0127] The difference between the validation risk positive fit value of the environmentally suitable subunit and the validation risk non-fit value of the environmentally unsuitable subunit is calculated to obtain the unit validation risk deviation value;

[0128] If the unit validation risk deviation value is within the preset unit validation risk deviation value range, the corresponding monitoring component is recorded as a non-interference component in the indoor planting environment;

[0129] If the unit validation risk deviation value is outside the preset unit validation risk deviation value range, the corresponding monitoring component is recorded as an indoor planting environment interference component;

[0130] Among them, the operating components of the fresh air fan system include but are not limited to the supply fan, exhaust fan, ventilation system, filter and heat exchanger;

[0131] The monitoring items of the monitoring components include but are not limited to air volume, voltage value, temperature value, vibration frequency, etc. The monitoring content of the monitoring items is determined according to the corresponding usage scenarios of the monitoring components. The contents of the monitoring items are all generated by the corresponding components when they are working. For example, the air volume and voltage values ​​are the actual air volume and voltage values ​​when the monitoring items are working.

[0132] The technical solution of the present invention is: based on the signal of unqualified indoor planting environment, the reasons for the unqualified indoor planting environment are analyzed. Since the working state of the fresh air fan system directly affects the quality of the indoor planting environment, based on this, the states of multiple monitoring components built into the fresh air fan system during operation are monitored, that is, by processing the monitoring items corresponding to the monitoring components, the effectiveness ratio and the total effectiveness risk value of the monitoring components are obtained, and then the effectiveness risk coefficient of each monitoring component in the fresh air fan system is obtained, and then the effectiveness risk coefficient of the corresponding monitoring component is subjected to difference comparison processing in the environmental positive sub-unit and the environmental non-suitable sub-unit, so as to evaluate whether the monitoring component is the cause of the environmental positive sub-unit and the environmental non-suitable sub-unit, thereby completing the judgment of the relationship between the environmental dynamic value in the monitoring sub-unit and the influence of the monitoring component.

[0133] Example 5

[0134] Based on the interference components of the indoor planting environment, the interference analysis module performs trend assessment on the correlation status of the monitoring components in the fresh air fan system. The specific process is as follows;

[0135] In a specific embodiment:

[0136] Get the environmental dynamic values ​​of all environmental non-adaptive units;

[0137] Establish a plane coordinate system, with the number of environmental non-fit sub-units as the horizontal coordinate, and the environmental dynamic value and unit validation risk deviation value of the environmental non-fit sub-units as the vertical coordinate;

[0138] In the plane coordinate system, points are drawn in advance in the order of environmental dynamic values ​​from large to small, and all points are connected from left to right by a smooth curve, so that a linearly changing and downwardly inclined environmental dynamic value curve is obtained in the plane coordinate system;

[0139] It should be noted that the number of environmental non-fit sub-units is the horizontal axis, which does not mean marking the environmental non-fit sub-units in chronological order, but marking them with environmental dynamic values, that is, the largest environmental dynamic value may be the first environmental non-fit sub-unit that appears in the monitoring period, or it may be the tenth environmental non-fit sub-unit or the last environmental non-fit sub-unit;

[0140] Then, in the plane coordinate system, taking the environmental dynamic value curve as a reference, the unit validation risk deviation value of the environmental non-adaptive unit corresponding to the environmental dynamic value curve is plotted, and all points are connected from left to right by a smooth curve, and the unit validation risk deviation curve corresponding to the monitoring component is obtained in the plane coordinate system;

[0141] Identification of the unit validation risk deviation curve corresponding to the monitoring component:

[0142] If the unit validation risk deviation curve and the environmental dynamic value curve have the same changing trend, and the overall change is linear and tilted downward, it means that the monitoring components in the fresh air fan system have a reverse interference effect on the indoor planting environment, that is, the larger the unit validation risk deviation value of the monitoring components in the fresh air fan system (the more unstable the operating state of the monitoring components), the larger the environmental dynamic value of the indoor planting environment (the better the indoor planting environment), and the component reverse interference signal is obtained;

[0143] If the unit validation risk deviation curve and the environmental dynamic value curve have opposite changing trends, and the overall change is linear and tilted upward, it means that the monitoring components in the fresh air fan system have a positive interference effect on the indoor planting environment, that is, the smaller the unit validation risk deviation value of the monitoring components in the fresh air fan system (the more stable the operating state of the monitoring components), the larger the environmental dynamic value of the indoor planting environment (the better the indoor planting environment), and the component positive interference signal is obtained;

[0144] If the unit validation risk deviation curve has no correlation with the changing trend of the environmental dynamic value curve and presents a nonlinear wave as a whole, it means that the operating status of the monitoring components in the fresh air fan system has no impact on the indoor planting environment, and a non-interference signal of the components is obtained;

[0145] Based on the component non-interference signal, it is shown that the operating status of the monitoring component in the fresh air fan system is abnormal, but the abnormal monitoring component is not the reason for the unqualified indoor planting environment;

[0146] In a specific embodiment, it is necessary to repair the monitoring component corresponding to the component non-interference signal in order to extend the service life of the fresh air blower system.

[0147] Based on the reverse interference signal of the component, it is shown that the higher the abnormality of the operating status of the monitoring component in the fresh air fan system, the better the indoor planting environment. In order to keep the monitoring component in the fresh air fan system running well, the configuration of the monitoring component needs to be improved;

[0148] In a specific embodiment, such as the function of a fan, a fan with higher power needs to be provided to adapt the new fan system to the optimization of the current indoor planting environment.

[0149] Based on the component forward interference signal, it is shown that the lower the abnormality of the operating status of the monitoring component in the fresh air fan system, the better the indoor planting environment. In order to keep the monitoring component in the fresh air fan system running well, the configuration of the monitoring component needs to be improved;

[0150] In a specific embodiment, such as the function of the motor, it is necessary to improve the heat dissipation performance and current stability performance of the motor to avoid overheating or unstable operation of the motor, so as to adapt the new air fan system to the optimization of the current indoor planting environment.

[0151] The technical solution of the present invention is: on the basis that the operation of the built-in monitoring component of the fresh air fan system causes interference to the indoor planting environment, a correlation analysis is performed on the operation status of the monitoring component and the status of the indoor planting environment, and an environmental dynamic value curve is established based on the environmental dynamic value of the environmental non-fit unit, and then a unit validation risk deviation curve is established based on the unit validation risk deviation value matched by the environmental non-fit unit, and a comparative analysis is performed on the environmental dynamic value curve and the unit validation risk deviation curve, that is, by taking the environmental dynamic value curve as a benchmark, the development trend of the unit validation risk deviation curve is judged, thereby identifying the correlation between the unit validation risk deviation corresponding to the monitoring component and the development trend of the environmental dynamic value, so that the monitoring component in the fresh air fan system is corrected to keep it in good operation, so as to adapt the fresh air fan system to the optimization of the current indoor planting environment.

[0152] Example 6

[0153] The present invention is a method for monitoring the planting environment of smart agriculture based on the Internet of Things, comprising the following steps:

[0154] During the monitoring period, the changing state of the indoor planting environment is monitored to obtain the environmentally suitable sub-units and environmentally unsuitable sub-units;

[0155] Analyze and process the environmentally suitable sub-units and the environmentally unsuitable sub-units to obtain the state environmental assessment value of the indoor planting environment, complete the evaluation of the indoor planting environment based on the state environmental assessment value, and obtain the indoor planting environment qualified signal and the indoor planting environment unqualified signal;

[0156] Based on the unqualified signal of the indoor planting environment, the operating status of the operating components of the fresh air fan system is monitored to obtain the components interfering with the indoor planting environment and the components without interference with the indoor planting environment;

[0157] Based on the interference components of the indoor planting environment, a trend assessment is conducted on the correlation status of the monitoring components in the fresh air fan system to complete the dynamic correction of the monitoring components.

[0158] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A smart agricultural planting environment monitoring system based on the Internet of Things, characterized in that: It includes status perception module, environment assessment module, linkage analysis module and interference analysis module; During the monitoring period, the state perception module is used to monitor the changing state of the indoor planting environment to obtain the environmental dynamic value, and obtain the environmental positive sub-unit and the environmental non-suitable sub-unit; The environmental assessment module is used to analyze and process the environmentally suitable subunits and the environmentally unsuitable subunits, obtain the environmental assessment value of the indoor planting environment, complete the assessment of the indoor planting environment based on the environmental assessment value, and obtain the qualified signal of the indoor planting environment and the unqualified signal of the indoor planting environment; Based on the unqualified signal of the indoor planting environment, the linkage analysis module is used to monitor the operating status of the operating components of the fresh air fan system to obtain the indoor planting environment interference components and the indoor planting environment non-interference components; Based on the interference components of the indoor planting environment, the interference analysis module is used to evaluate the trend of the correlation status of the monitoring components in the fresh air fan system and complete the dynamic correction of the monitoring components; Each monitoring sub-unit obtains the monitoring components required for monitoring during the operation of the fresh air blower system; The components required to be monitored by the monitoring component are recorded as monitoring items; The monitoring items in the monitoring components whose monitoring values ​​do not meet the monitoring value requirements of the monitoring items are recorded as validation items; Calculate the ratio of the number of validation items to the number of monitoring items in the monitoring component to obtain the validation ratio of the monitoring component; The deviation difference of the validation item is multiplied by the preset risk coefficient to obtain the validation risk value; Sum the validation risk values ​​of each validation item in the monitoring component to obtain the total validation risk value of the monitoring component; The verification ratio of the monitoring component is multiplied by the total verification risk value to obtain the verification risk coefficient of the monitoring component; The validation risk coefficients in all environmentally suitable subunits are summed and averaged to obtain the validation risk positive fitness value of the environmentally suitable subunit; The validation risk coefficients in all environmental non-fit sub-units are summed and averaged to obtain the validation risk non-fit value of the environmental non-fit sub-unit; The difference between the validation risk positive fit value of the environmentally suitable subunit and the validation risk non-fit value of the environmentally unsuitable subunit is calculated to obtain the unit validation risk deviation value; If the unit validation risk deviation value is within the preset unit validation risk deviation value range, the corresponding monitoring component is recorded as a non-interference component in the indoor planting environment; If the unit validation risk deviation value is outside the preset unit validation risk deviation value range, the corresponding monitoring component is recorded as an indoor planting environment interference component; Obtain the environmental dynamic values ​​and unit validation risk deviation values ​​of all environmental non-suitable sub-units; Based on the environmental dynamic value of the environmental non-suitable sub-unit, an environmental dynamic value curve is established, and then a unit validation risk deviation curve is established based on the unit validation risk deviation value matched by the environmental non-suitable sub-unit; Based on the environmental dynamic value curve, the development trend of the unit validation risk deviation curve is judged, so as to identify the correlation signal between the unit validation risk deviation corresponding to the monitoring component and the development trend of the environmental dynamic value; The associated signals include component reverse interference signals, component forward interference signals, and component non-interference signals.

2. According to claim 1, a smart agricultural planting environment monitoring system based on the Internet of Things is characterized in that: The division process of environmentally suitable subunits and environmentally unsuitable subunits is as follows: Divide the monitoring cycle into several monitoring sub-units according to the length of time; Obtaining environmental status data of the monitoring subunit, and obtaining an environmental dynamic value of the monitoring subunit according to the environmental status data; If the environmental dynamic value of the monitoring subunit is greater than or equal to the environmental dynamic threshold of the monitoring subunit, the monitoring subunit is recorded as an environmentally suitable subunit; If the environmental dynamic value of the monitoring subunit is less than the environmental dynamic threshold of the monitoring subunit, the monitoring subunit is recorded as an environmentally unsuitable subunit.

3. According to the Internet of Things-based smart agricultural planting environment monitoring system of claim 2, it is characterized in that: The process of obtaining the dynamic value of the environment is as follows: The environmental status data includes a temperature characterization value of the monitoring subunit, a humidity characterization value of the monitoring subunit, and a dust characterization value of the monitoring subunit; The temperature characterization value of the monitoring subunit is recorded as Wbi; The humidity characterization value of the monitoring subunit is recorded as Sb i; The dust characterization value of the monitoring subunit is recorded as Fb i; By formula The environmental dynamic value Hi of the monitoring subunit is calculated, where wbi is the standard temperature value of the fresh air fan system, and sbi is the standard humidity value of the fresh air fan system.

4. According to the Internet of Things-based smart agricultural planting environment monitoring system of claim 1, it is characterized in that: The process of obtaining the status environmental assessment value is as follows: Get the environmental positive base ratio and environmental positive non-environment ratio; The environmental positive and suitable base ratio is multiplied by the environmental positive and non-environmental ratio to obtain the environmental positive and suitable effective base ratio during the monitoring period; Integrate the environmental dynamic values ​​of all monitoring sub-units within the monitoring period to obtain the environmental dynamic value corresponding to the monitoring period, and obtain the environmental dynamic variance value of the environmental dynamic value group; The environmental suitability effective base value is processed with the environmental dynamic variance value to obtain the environmental assessment value of the status within the monitoring period.

5. According to claim 4, a smart agricultural planting environment monitoring system based on the Internet of Things is characterized in that: The environmental fitness base ratio is the ratio of the number of environmental fitness subunits to the number of monitoring subunits; The environmental positive non-environment ratio is the ratio of the environmental positive deviation value of the environmental positive fit subunit to the environmental negative deviation value of the environmental non-fit unit; Among them, the difference between the environmental dynamic mean value of the environmental positive subunit and the environmental dynamic threshold value of the monitoring subunit is the environmental positive deviation value of the environmental positive subunit; The difference between the environmental dynamic mean of the environmental non-suitable subunit and the environmental dynamic threshold of the monitoring subunit is the environmental negative deviation value of the environmental non-suitable subunit.

6. The smart agricultural planting environment monitoring system based on the Internet of Things according to claim 4 is characterized in that: If the environmental assessment value of the state within the monitoring period is greater than or equal to the environmental assessment threshold of the state within the monitoring period, a qualified signal of the indoor planting environment is generated; If the status environmental assessment value within the monitoring period is less than the status environmental assessment threshold within the monitoring period, an unqualified signal for the indoor planting environment is generated.

7. A method for monitoring the planting environment of smart agriculture based on the Internet of Things, characterized in that: The method adopts the smart agricultural planting environment monitoring system based on the Internet of Things as described in any one of claims 1-6.

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