Intelligent agricultural online industrialization monitoring system

Abstract

The invention relates to the field of intelligent agriculture monitoring, in particular to an intelligent agriculture online industrialization monitoring system, which comprises a partition evaluation module used for responding to a crop richness index and a crop boundary parameter of a partition evaluation condition to determine a monitoring analysis strategy; the growth analysis module is used for responding to the point location action coefficient of the point location correction condition so as to determine the point location correction mode of each junction monitoring point location; the period analysis module is used for determining an irrigation compensation parameter aiming at each boundary monitoring point position in the target monitoring subarea based on the growth period coincidence degree so as to adjust a compensation mode; and the reconstruction compensation module is used for determining whether compensation adjustment is carried out on the drip irrigation compensation parameters of the junction monitoring points or not, and the effectiveness of the adjustment result of the drip irrigation process is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart agriculture monitoring, and in particular to an online industrialized monitoring system for smart agriculture. Background Art

[0002] In the intelligent, precise and efficient agricultural production, monitoring the soil moisture content in the planting area to adjust the drip irrigation process in real time can effectively ensure the drip irrigation effect for the crops. In the existing adjustment schemes for the drip irrigation process, the drip irrigation parameters are usually only adjusted according to the soil moisture content of the area and the corresponding water demand of the crops. However, there are mixed plantings of crops with different water utilization conditions in the planting area, which leads to interference in the moisture content monitoring results at the junction of the planting areas of different crops. Therefore, how to compensate for the monitoring results according to the crop planting conditions in the boundary area during the actual planting process to ensure the effectiveness of the subsequent drip irrigation adjustment results is an urgent problem to be solved by technical personnel in this field.

[0003] Chinese patent publication number CN111353715A discloses an agricultural water resource intelligent distribution control system, which is characterized in that during the growth of crops, a meteorological element data collector collects signals obtained by a meteorological element sensor and transmits them to an analog-to-digital converter to generate a digital signal, which is organized and encoded by a data microprocessor and then transmitted to a surface-groundwater joint intelligent distribution system using a signal transmission system; the system calculates the received data through a model and intelligently, automatically and scientifically distributes it to water use units according to changes in the external environment. However, the above scheme has the following problems: it fails to make targeted compensation adjustments to the monitoring results based on the crop planting conditions in the boundary area of ​​the actual monitored planting area, resulting in low effectiveness of the adjustment results of the drip irrigation process. Summary of the invention

[0004] To this end, the present invention provides an online industrial monitoring system for smart agriculture to overcome the problem in the prior art that the monitoring results are unable to be compensated and adjusted in a targeted manner according to the crop planting conditions in the boundary areas of the actual monitored planting areas, resulting in low effectiveness of the adjustment results for the drip irrigation process.

[0005] To achieve the above object, the present invention provides a smart agriculture online industrialization monitoring system, which is characterized by comprising: A partition assessment module is used to determine a monitoring and analysis strategy in response to the crop abundance index and crop boundary parameters of the partition assessment conditions, wherein the monitoring and analysis strategy is to adjust the drip irrigation compensation parameters of the target monitoring partition based on the crop growth association analysis or the crop growth cycle analysis; A growth analysis module, which is connected to the partition evaluation module, is used to respond to the point action coefficient of the point correction condition to determine the point correction method of each intersection monitoring point, and the point correction method is to determine the drip irrigation compensation parameter according to the associated growth difference coefficient, or to adjust the drip irrigation compensation parameter according to the water demand coefficient and the root extension parameter; A cycle analysis module, which is connected to the partition evaluation module, and is used to determine the irrigation compensation parameters for each boundary monitoring point in the target monitoring partition based on the growth cycle overlap and to adjust the compensation method; A reconstruction compensation module is connected to the growth analysis module and the period analysis module, and is used to respond to the reconstruction compensation condition to determine whether to perform compensation adjustment on the drip irrigation compensation parameters of each boundary monitoring point.

[0006] Furthermore, if the partition evaluation condition responded by the partition evaluation module is that the crop abundance index corresponding to a target monitoring partition is greater than a preset crop abundance index or the crop boundary parameter is greater than a preset crop boundary parameter, then the growth analysis module is determined to adjust the drip irrigation compensation parameter of the target monitoring partition based on the crop growth association analysis, and the crop growth association analysis includes: The growth analysis module responds to the associated analysis conditions and determines the point action coefficient of each boundary monitoring point based on the root extension parameter and the associated crop parameter; Determine the point correction method of each intersection monitoring point according to the point action coefficient; The association analysis condition is that the partition evaluation module determines that the growth analysis module adjusts the drip irrigation compensation parameters of a target monitoring partition based on the crop growth association analysis.

[0007] Further, the point correction condition responded by the growth analysis module is that the point action coefficient of a junction monitoring point is greater than the preset point action coefficient, then the first analysis execution unit is determined to respond to the analysis determination condition to determine the adjustment method of the drip irrigation compensation parameter of the junction monitoring point; The analysis determination condition responded by the first analysis execution unit is that the correlation growth difference coefficient of a boundary monitoring point is less than or equal to the preset correlation growth difference coefficient, then it is determined to increase and adjust the drip irrigation compensation parameter of the relevant drip irrigation device of the boundary monitoring point according to the point action coefficient and the growth action coefficient; The increase value of the drip irrigation compensation parameter is positively correlated with the point effect coefficient and the growth effect coefficient respectively.

[0008] Furthermore, the analysis determination condition responded by the first analysis execution unit is that the correlation growth difference coefficient of a boundary monitoring point is greater than a preset correlation growth difference coefficient, then it is determined to increase the drip irrigation compensation parameter of the drip irrigation device related to the boundary monitoring point according to the reference crop correlation coefficient of the compensation reference set; The increase value of the drip irrigation compensation parameter is positively correlated with the reference crop correlation coefficient; The compensation reference set is determined based on the key growth stages of each associated crop and the key root areas of the crop.

[0009] Furthermore, the first analysis execution unit determines the correlation growth difference coefficient of each boundary monitoring point according to the overlap of key growth cycles and the root action difference parameter; The overlap of the key growth cycles is the ratio of the sum of the durations of the key growth cycles to the duration of the current crop detection cycle, and the key growth cycles are determined according to the key growth coefficients of the monitoring segment cycles; The correlation growth difference coefficient is negatively correlated with the overlap of key growth cycles; The correlation growth difference coefficient is positively correlated with the root action difference parameter.

[0010] Furthermore, the point correction condition responded by the growth analysis module is that the point action coefficient of a boundary monitoring point is less than or equal to the preset point action coefficient, then it is determined that the second analysis execution unit increases and adjusts the drip irrigation compensation parameters of the relevant drip irrigation device of the boundary monitoring point according to the water demand coefficient and root extension parameter of each associated crop; The increase value of the drip irrigation compensation parameter is positively correlated with the water demand coefficient and the root extension parameter.

[0011] Furthermore, the partition evaluation condition responded by the partition evaluation module is that the crop abundance index corresponding to a target monitoring partition is less than or equal to the preset crop abundance index and the crop boundary parameter is less than or equal to the preset crop boundary parameter, then the determination cycle analysis module adjusts the drip irrigation compensation parameter of the target monitoring partition based on the crop growth cycle analysis, and the crop growth cycle analysis includes: The cycle analysis module responds to the cycle analysis conditions and determines whether to adjust the irrigation parameters of each boundary monitoring point in the target monitoring zone based on the growth cycle overlap; The cycle analysis condition is that the partition evaluation module determines that the cycle analysis module adjusts the drip irrigation compensation parameters of a target monitoring partition based on the crop growth cycle analysis.

[0012] Furthermore, the corresponding cycle adjustment condition of the cycle analysis module is that the growth cycle overlap is greater than the preset growth cycle overlap, then it is determined that the drip irrigation compensation parameters of the intersection monitoring points of the analysis intersection lines corresponding to the overlapping growth cycles are increased and adjusted according to the root system difference parameters of each overlapping crop combination; The increase value of the drip irrigation compensation parameter is negatively correlated with the root system difference parameter.

[0013] Further, the reconstruction compensation module responds to the preliminary compensation condition, and the reconstruction compensation module determines the root reconstruction coefficient of each boundary monitoring point based on the drip irrigation device distribution coefficient and the drip irrigation water consumption; The reconstruction compensation module responds to the reconstruction compensation condition to determine whether to perform compensation adjustment on the drip irrigation compensation parameters of each boundary monitoring point; The preliminary compensation condition is that the adjustment of drip irrigation compensation parameters is completed at each boundary monitoring point within the target monitoring area.

[0014] Furthermore, the reconstruction compensation condition responded by the reconstruction compensation module is that the root reconstruction coefficient of a boundary monitoring point is greater than a preset root reconstruction coefficient, then it is determined that the drip irrigation compensation parameter for the boundary monitoring point is increased and adjusted; The increase value of the drip irrigation compensation parameter is positively correlated with the root reconstruction coefficient.

[0015] Compared with the prior art, the beneficial effect of the present invention lies in that the technical scheme of the present invention determines a targeted monitoring and analysis strategy according to the crop richness of the target monitoring zone and the crop boundary parameters, so that the subsequent determination process of the drip irrigation compensation parameters for each boundary monitoring point is more in line with the actual planting situation, avoiding the low reliability of soil moisture monitoring results caused by the influence of different crops on water absorption at the boundary, thereby improving the effectiveness of the adjustment results of the drip irrigation process.

[0016] Furthermore, the present invention characterizes the mixed cross-situation of crops planted in the target monitoring zone according to crop richness and crop boundary parameters, determines the cross-interference of different crops at each moisture content monitoring point in the target monitoring zone and the richness of interference parameters, thereby improving the effectiveness of the subsequent adjustment means of the drip irrigation compensation parameters and the processing efficiency of the adjustment process.

[0017] Furthermore, in the present invention, for target monitoring zones with greater crop richness or greater crop boundary parameters, further adjustment methods are determined according to the point action coefficient of each boundary monitoring point, and the impact of different crops on each boundary monitoring point is accurately determined based on the point action coefficient. Among them, for boundary monitoring points with larger point action coefficients, specific adjustment methods for drip irrigation compensation parameters are determined according to the associated growth difference coefficient, avoiding the participation of crops that do not exist or have less influence in the adjustment process, further ensuring the accuracy of the determined drip irrigation compensation parameters. The present invention improves the effectiveness of the adjustment results of the drip irrigation process.

[0018] Furthermore, the present invention determines the root reconstruction coefficient of each intersection monitoring point based on the drip irrigation device distribution coefficient and the drip irrigation parameters, and when the root reconstruction coefficient is large, further adjusts the drip irrigation compensation parameters to avoid the influence of the distribution of the drip irrigation device on the growth of the crop root system other than natural factors, thereby avoiding the influence on the adjustment process of the above-mentioned drip irrigation compensation parameters, thereby improving the effectiveness of the adjustment results of the drip irrigation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a module connection diagram of the smart agriculture online industrialization monitoring system of the present invention; Figure 2 It is a module structure block diagram of the growth analysis module of the present invention; Figure 3 A flowchart of the zoning assessment module of the present invention responding to the crop abundance and crop boundary parameters of the zoning assessment conditions to determine the monitoring and analysis strategy; Figure 4 It is a flow chart of determining the point correction method of each boundary monitoring point by the growth analysis module of the present invention in response to the point action coefficient of the point correction condition. DETAILED DESCRIPTION

[0020] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0021] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0022] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0023] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] See also Figures 1 to 4 As shown, the present invention provides a smart agriculture online industrial monitoring system, including: A partition assessment module is used to determine a monitoring and analysis strategy in response to the crop abundance index and crop boundary parameters of the partition assessment conditions, wherein the monitoring and analysis strategy is to adjust the drip irrigation compensation parameters of the target monitoring partition based on the crop growth association analysis or the crop growth cycle analysis; A growth analysis module, which is connected to the partition evaluation module, is used to respond to the point action coefficient of the point correction condition to determine the point correction method of each intersection monitoring point, and the point correction method is to determine the drip irrigation compensation parameter according to the associated growth difference coefficient, or to adjust the drip irrigation compensation parameter according to the water demand coefficient and the root extension parameter; A cycle analysis module, which is connected to the partition evaluation module, and is used to determine the irrigation compensation parameters for each boundary monitoring point in the target monitoring partition based on the growth cycle overlap and to adjust the compensation method; A reconstruction compensation module is connected to the growth analysis module and the period analysis module, and is used to respond to the reconstruction compensation condition to determine whether to perform compensation adjustment on the drip irrigation compensation parameters of each boundary monitoring point.

[0025] The present invention is applied to monitoring the soil moisture content of a planting area and to adjusting the drip irrigation process. The planting area that needs to monitor the soil moisture content is recorded as a target monitoring area. The target monitoring area is divided to obtain a number of rectangular areas with the same area. Each rectangular area is recorded as a target monitoring partition. In the present invention, a number of moisture monitoring points are set in the target monitoring area. For any two moisture monitoring points, there is at least one different coordinate parameter between the two moisture monitoring points. The coordinate parameters include horizontal coordinate parameters and depth coordinate parameters. A three-dimensional rectangular coordinate system is established based on the target monitoring area. For a single moisture monitoring point, the horizontal coordinate parameter can be expressed as (the shortest distance between the moisture monitoring point and the first position reference line, the shortest distance between the moisture monitoring point and the second position reference line). short distance), the first position reference line and the second position reference line are respectively two coordinate axes in the horizontal direction of the established three-dimensional rectangular coordinate system, and the depth coordinate parameter is the shortest distance between the moisture monitoring point and the coordinate plane in the horizontal direction of the established three-dimensional rectangular coordinate system. How to establish a three-dimensional rectangular coordinate system based on the target detection area and how to determine the horizontal coordinate parameters and depth coordinate parameters of each moisture monitoring point are easy to understand for those skilled in the art and will not be elaborated on here. The moisture content of the soil at the position corresponding to each moisture monitoring point is detected. The method for moisture content detection in the present invention includes but is not limited to: TRD technology and neutron scattering method. How to obtain the soil moisture content of each moisture monitoring point according to the TRD technology and the neutron scattering method is easy to understand for those skilled in the art and will not be elaborated on here. In the present invention, drip irrigation technology is used to irrigate the planting area. Several drip irrigation devices are arranged in the target monitoring area. The present invention does not specifically limit the model and setting position of the drip irrigation device. The user can set it according to the actual working scene, periodically detect the soil moisture content at the corresponding position of each moisture content monitoring point, and set the drip irrigation compensation parameter based on the soil moisture content of different moisture content monitoring points. For a single drip irrigation device, the drip irrigation compensation parameter of the drip irrigation device is positively correlated with the moisture content demand difference value. The drip irrigation compensation parameter is an increase value for the drip irrigation parameter, and the moisture content demand difference value is the difference between the soil moisture content suitable for the crops planted at the location at the current growth stage and the soil moisture content detected. The drip irrigation parameters include but are not limited to the drip irrigation duration and the drip irrigation water consumption. The drip irrigation duration is the length of time the drip irrigation device provides water to the crops, and the drip irrigation water consumption is the amount of water provided by the drip irrigation device to the crops. How to adjust the drip irrigation parameters is easy to understand for those skilled in the art and will not be elaborated here. The present invention applies a cyclic crop monitoring cycle, and the duration of the crop monitoring cycle can be determined by the user. The higher the user's requirements for the effectiveness of the irrigation adjustment process of the target monitoring partition, the shorter the duration of the crop monitoring cycle. A crop monitoring cycle is provided, and the crop monitoring cycle is 5 days. At the end of each crop monitoring cycle, the partition evaluation module adjusts the drip irrigation parameters of each target monitoring partition based on crop growth association analysis or crop growth cycle analysis. The present invention uses several crop monitoring records, and any crop monitoring record records the crop abundance index, crop boundary parameters, the shortest distance between each boundary monitoring point and the analysis boundary line, point action coefficient, associated growth difference coefficient, crop correlation coefficient, key growth coefficient, growth cycle overlap and root reconstruction coefficient in at least one irrigation regulation process for the target monitoring partition, and each crop monitoring record corresponds to a qualified mark, which records whether the effectiveness of the irrigation regulation process for the target monitoring partition meets the user's needs. It can be understood that the user can determine whether the effectiveness of the irrigation regulation process for the target monitoring partition meets the needs based on the self-set indicators. For example, the self-set indicators can be but are not limited to water utilization, and water utilization = crop yield / irrigation water consumption in the target monitoring partition.

[0026] Specifically, the partition evaluation condition responded by the partition evaluation module is that the crop abundance index corresponding to a target monitoring partition is greater than a preset crop abundance index or the crop boundary parameter is greater than a preset crop boundary parameter, then the growth analysis module is determined to adjust the drip irrigation compensation parameter for the target monitoring partition based on the crop growth association analysis, and the crop growth association analysis includes: The growth analysis module responds to the associated analysis conditions and determines the point action coefficient of each boundary monitoring point based on the root extension parameter and the associated crop parameter; Determine the point correction method of each intersection monitoring point according to the point action coefficient; The association analysis condition is that the partition evaluation module determines that the growth analysis module adjusts the drip irrigation compensation parameters of a target monitoring partition based on the crop growth association analysis.

[0027] Among them, the varieties of crops existing in each target monitoring partition are obtained, and the target monitoring partition is divided into analysis sub-domains according to the varieties of crops. There is only a single variety of crops in any analysis sub-domain. For a single target monitoring partition, the crop richness index is the number of crop types existing in the target monitoring partition. For any two analysis sub-domains with the same edge line, the same edge line between the above two analysis sub-domains is recorded as the analysis boundary line, and the crop boundary parameter is the sum of the lengths of each analysis boundary line in the target monitoring partition; The values ​​of the preset crop abundance index and the preset crop boundary parameter can be determined by the user according to the actual working scenario. For example, the user can set them according to the crop monitoring record. The higher the user's accuracy requirement for the analysis result of the target burning component, the smaller the value of the preset crop abundance index and the smaller the value of the preset crop boundary parameter. A method for determining the value of the preset crop abundance index is provided, and the crop monitoring record for adjusting the drip irrigation parameters of the target monitoring partition based on the crop growth association analysis is recorded as the analysis reference record, and the average value of the crop abundance index in the analysis reference record that meets the user's requirements for the effectiveness of the irrigation adjustment process of the target monitoring partition is recorded as the preset crop abundance index. A method for determining the value of the preset crop boundary parameter is provided, and the average value of the crop boundary parameter in the analysis reference record that meets the user's requirements for the effectiveness of the irrigation adjustment process of the target monitoring partition is recorded as the preset crop boundary parameter; The moisture content monitoring point whose shortest distance from the analysis boundary line is less than the preset boundary distance is recorded as the boundary monitoring point. The value of the preset boundary distance can be determined by the user according to the actual working scenario. For example, the user can set it according to the crop monitoring record. The higher the accuracy requirement of the analysis result of the target burning component, the smaller the value of the preset boundary distance. A method for setting the preset boundary distance is provided. The average value of the shortest distance between each boundary monitoring point and the analysis boundary line in the crop monitoring record that meets the user's requirement for the effectiveness of the irrigation regulation process of the target monitoring partition is recorded as the preset boundary distance. For a single boundary monitoring point, the point action coefficient = ln (reference root extension parameter × associated crop parameter), the associated crop parameter is the number of crop types in the action evaluation area of ​​the boundary monitoring point, the types of crops in the action evaluation area of ​​the boundary monitoring point are recorded as associated crops, the reference root extension parameter is the average value of the root extension parameters of the associated crops of the boundary monitoring point, for a single type of crop, the root extension parameter is the product of the root diffusion index and the root growth index, the root diffusion index is the maximum value of the extension distance of the roots of the crop of this type except the main root to the surrounding areas, the root growth index is the root growth length of the crop of this type per unit time in the current growth stage, the user can determine the maximum value of the extension distance of the roots of the crop of this type except the main root to the surrounding areas and the root growth length per unit time in each growth stage according to the historical planting records of the crop of this type, which is easy to understand for those skilled in the art and will not be elaborated here.

[0028] Specifically, the point correction condition responded by the growth analysis module is that the point action coefficient of a junction monitoring point is greater than the preset point action coefficient, and then the first analysis execution unit is determined to respond to the analysis determination condition to determine the adjustment method of the drip irrigation compensation parameter of the junction monitoring point; The analysis determination condition responded by the first analysis execution unit is that the correlation growth difference coefficient of a boundary monitoring point is less than or equal to the preset correlation growth difference coefficient, then it is determined to increase the drip irrigation compensation parameter of the related drip irrigation device of the boundary monitoring point according to the point action coefficient and the growth action coefficient; The increase value of the drip irrigation compensation parameter is positively correlated with the point effect coefficient and the growth effect coefficient respectively.

[0029] Among them, the values ​​of the preset point action coefficient and the preset associated growth difference coefficient can be determined by the user according to the actual working scenario. For example, the user can set them according to the crop monitoring record. The higher the user's accuracy requirement for the analysis result of the target burning component, the smaller the value of the preset point action coefficient. A method for determining the value of the preset point action coefficient is provided, and the crop monitoring record for determining the drip irrigation compensation parameter of the junction monitoring point according to the associated growth difference coefficient is recorded as the action reference record, and the minimum value of the point action coefficient of the junction monitoring point in the action reference record that meets the user's requirements for the effectiveness of the irrigation regulation process of the target monitoring partition is recorded as the preset point action coefficient. A method for determining the value of the preset associated growth difference coefficient is provided, and the crop monitoring record for increasing the drip irrigation compensation parameter of the junction monitoring point according to the point action coefficient and the growth action coefficient is recorded as a parameter compensation record, and the maximum value of the associated growth difference coefficient of the junction monitoring point in the parameter compensation record that meets the user's requirements for the effectiveness of the irrigation regulation process of the target monitoring partition is recorded as the preset associated growth difference coefficient. For a single intersection monitoring point, if the associated growth coefficient of the intersection monitoring point is less than or equal to the preset associated growth difference coefficient, the increase value of the drip irrigation compensation parameter is positively correlated with the parameter compensation degree. The parameter compensation degree is determined according to the point action coefficient and the growth action coefficient. The parameter compensation degree = ln (point action coefficient × growth action coefficient). The growth action coefficient is the number of crops associated with the intersection monitoring point that are in a critical growth stage.

[0030] Specifically, the analysis determination condition responded by the first analysis execution unit is that the correlation growth difference coefficient of a boundary monitoring point is greater than the preset correlation growth difference coefficient, then it is determined to increase the drip irrigation compensation parameter of the drip irrigation device related to the boundary monitoring point according to the reference crop correlation coefficient of the compensation reference set; The increase value of the drip irrigation compensation parameter is positively correlated with the reference crop correlation coefficient; The compensation reference set is determined based on the key growth stages of each associated crop and the key root areas of the crop.

[0031] Among them, for a single junction monitoring point, if the associated growth difference coefficient of the junction monitoring point is greater than the preset associated growth difference coefficient, it indicates that although there are many associated crops at the junction monitoring point that affect the monitoring results, the overlap of the influence of each associated crop is low, and further screening of the associated crops is required. The reference crop correlation coefficient is the average value of the crop correlation coefficients between each associated crop and the key crop in the compensation reference set of the key crops at the junction monitoring point. For a single drip irrigation device, if the distance between the drip irrigation device and the junction monitoring point is less than the preset junction distance, the drip irrigation device is recorded as the associated drip irrigation device of the junction monitoring point; For a single boundary monitoring point, the crops of the corresponding varieties of the analysis subdomain where the boundary monitoring point is located are recorded as the key crops of the boundary monitoring point. The compensation reference set of the key crop is determined based on the key growth stages of each associated crop and the key root area of ​​the crop. The crop correlation coefficient between any associated crop and the key crop in the compensation reference set is greater than the preset crop correlation coefficient, and the crop correlation coefficient between any associated crop and at least one associated crop in the compensation reference set is greater than the preset crop correlation coefficient. For any two associated crops, the crop correlation coefficient is the sum of the growth overlap ratio and the key area overlap ratio. The growth overlap ratio = the ratio of the above two associated crops. The duration of the current crop monitoring cycle in the overlapping part of the key growth stage / the duration of the current crop monitoring cycle, the overlap ratio of the key area=the absolute value of the difference between the maximum depth value and the minimum depth value of the overlapping part of the key root areas of the above two associated crops / the maximum depth value of the overlapping part of the key root areas of the above two associated crops. For the associated crops of a single variety, the key growth stage is the jointing to flowering stage and the fruiting to maturity stage of the associated crop. The key root area of ​​the crop is the area in the root system of the associated crop that mainly performs water absorption. How to determine the key root area of ​​the crop and the key growth stage is easy to understand for those skilled in the art and will not be elaborated here. The value of the preset crop correlation coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the crop monitoring record. The higher the user's requirement for the accuracy of the analysis results of the target burning components, the larger the value of the preset crop correlation coefficient. A method for determining the value of the preset crop correlation coefficient is provided, and the minimum value of the crop correlation coefficient between each associated crop and the key crop in the crop monitoring record that meets the user's requirement for the effectiveness of the irrigation regulation process in the target monitoring zone is recorded as the preset crop correlation coefficient.

[0032] Specifically, the first analysis execution unit determines the correlation growth difference coefficient of each boundary monitoring point according to the overlap of key growth cycles and the root action difference parameter; The overlap of the key growth cycles is the ratio of the sum of the durations of the key growth cycles to the duration of the current crop detection cycle, and the key growth cycles are determined according to the key growth coefficients of the monitoring segment cycles; The correlation growth difference coefficient is negatively correlated with the overlap of key growth cycles; The correlation growth difference coefficient is positively correlated with the root action difference parameter.

[0033] Among them, for a single junction monitoring point, the associated growth difference coefficient is the sum of the products of the key growth cycle overlap and the root effect difference parameter of the junction monitoring point and the corresponding difference evaluation coefficient. The values ​​of the difference evaluation coefficient corresponding to the key growth cycle overlap and the root effect difference parameter can be set by the user according to the actual working scenario, and a value of the difference evaluation coefficient corresponding to the key growth cycle overlap and the root effect difference parameter is provided. The value of the difference evaluation coefficient corresponding to the key growth cycle overlap is 0.65, and the value of the difference evaluation coefficient corresponding to the root effect difference parameter is 0.35. The key growth cycle overlap = the sum of the duration of each key growth cycle in the current crop monitoring cycle / the duration of the current crop monitoring cycle. The growth cycle is a monitoring segment cycle in which the key growth coefficient is greater than the preset key growth coefficient. The current crop monitoring cycle is divided into several monitoring segments of the same length. For a single monitoring segment cycle, the key growth coefficient is the number of key analysis crops in the monitoring segment cycle. The associated crops with key growth stages in the monitoring segment cycle are recorded as key analysis crops. The root action difference parameter is the product of the crop root interaction degree and the root extension difference value. The crop root interaction degree = the root interaction area depth value / the maximum value of the main root depth of the associated crop at the junction monitoring point. The root interaction area depth value is the absolute value of the difference between the maximum depth value and the minimum depth value of the overlapping part of the crop key root area of ​​each associated crop at the junction monitoring point. The root extension difference value Y , n is the number of crops associated with the boundary monitoring point, is the root growth index of the i-th associated crop at the junction monitoring point in the current crop monitoring cycle, The root growth index of each associated crop at the boundary monitoring point in the current crop monitoring cycle; The value of the preset key growth coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the crop monitoring record. The higher the user's requirement for the accuracy of the analysis results of the target burning components, the larger the value of the preset key growth coefficient. A method for determining the value of the preset key growth coefficient is provided, and the minimum value of the key growth coefficient of each key growth cycle in the crop monitoring record that meets the user's requirement for the effectiveness of the irrigation regulation process of the target monitoring zone is recorded as the preset key growth coefficient.

[0034] Specifically, the point correction condition responded by the growth analysis module is that the point action coefficient of a boundary monitoring point is less than or equal to the preset point action coefficient, then it is determined that the second analysis execution unit increases and adjusts the drip irrigation compensation parameters of the relevant drip irrigation device of the boundary monitoring point according to the water demand coefficient and root extension parameter of each associated crop; The increase value of the drip irrigation compensation parameter is positively correlated with the water demand coefficient and the root extension parameter.

[0035] Among them, for any relevant drip irrigation device at a single intersection monitoring point, the increase value of the drip irrigation compensation parameter of the relevant drip irrigation device is positively correlated with the action compensation coefficient, and the action compensation coefficient is the sum of the products of the root extension parameters of each associated crop and their corresponding compensation weight coefficients. For a single associated crop, its corresponding compensation weight coefficient is positively correlated with the water demand coefficient, and the water demand coefficient is the water requirement of the growth stage of the associated crop in the current crop monitoring cycle. How to determine the water demand coefficient of each associated crop is easy to understand for technicians in this field and will not be elaborated here.

[0036] Specifically, the partition evaluation condition responded by the partition evaluation module is that the crop abundance index corresponding to a target monitoring partition is less than or equal to the preset crop abundance index and the crop boundary parameter is less than or equal to the preset crop boundary parameter, then the determination cycle analysis module adjusts the drip irrigation compensation parameter of the target monitoring partition based on the crop growth cycle analysis, and the crop growth cycle analysis includes: The cycle analysis module responds to the cycle analysis conditions and determines whether to adjust the irrigation parameters of each boundary monitoring point in the target monitoring zone based on the growth cycle overlap; The cycle analysis condition is that the partition evaluation module determines that the cycle analysis module performs adjustment processing on the drip irrigation compensation parameters of a target monitoring partition by analyzing the crop growth cycle.

[0037] Among them, for a single target monitoring partition, the growth cycle overlap = the sum of the durations of each overlapping growth cycle / the duration of the current crop monitoring cycle, and the monitoring segment cycles of the key growth stages of crops with two or more varieties are recorded as overlapping growth cycles. The value of the preset growth cycle overlap can be determined by the user according to the actual working scenario. For example, the user can set it according to the crop monitoring records, and record the crop monitoring records for adjusting the irrigation parameters of each boundary monitoring point in the target monitoring partition as the overlap reference records, and record the minimum value of the growth cycle overlap in the overlap reference records that meets the user's requirements for the effectiveness of the irrigation adjustment process in the target monitoring partition as the preset growth cycle overlap.

[0038] Specifically, the corresponding cycle adjustment condition of the cycle analysis module is that the growth cycle overlap is greater than the preset growth cycle overlap, then it is determined that the drip irrigation compensation parameters of the intersection monitoring points of the analysis intersection lines corresponding to the overlapping growth cycles are increased and adjusted according to the root difference parameters of each overlapping crop combination; The increase value of the drip irrigation compensation parameter is negatively correlated with the root system difference parameter.

[0039] Among them, for a single target monitoring partition, the crops existing in the target monitoring partition are recorded as partition-related crops, the overlapping crop combination is a set of partition-related crops corresponding to the overlapping growth cycle, and for a single overlapping crop combination, the increase value of the drip irrigation compensation parameter at the intersection monitoring point of the corresponding analysis boundary line is negatively correlated with the root difference parameter, the root difference parameter is the sum of the combined root interaction degree and the combined extension difference degree, the combined root interaction degree is the average of the absolute values ​​of the difference between the maximum depth value and the minimum depth value of the overlapping part of the crop key root area of ​​each partition-related crop in the overlapping crop combination, and the combined extension difference degree is the absolute value of the difference between the maximum value and the minimum value of the root growth index of each partition-related crop in the overlapping crop combination.

[0040] Specifically, the reconstruction compensation module responds to the preliminary compensation condition, and the reconstruction compensation module determines the root reconstruction coefficient of each boundary monitoring point based on the drip irrigation device distribution coefficient and the drip irrigation water consumption; The reconstruction compensation module responds to the reconstruction compensation condition to determine whether to perform compensation adjustment on the drip irrigation compensation parameters of each boundary monitoring point; The preliminary compensation condition is that the adjustment of drip irrigation compensation parameters is completed at each boundary monitoring point within the target monitoring area.

[0041] Specifically, the reconstruction compensation condition responded by the reconstruction compensation module is that the root reconstruction coefficient of a boundary monitoring point is greater than the preset root reconstruction coefficient, and then it is determined that the drip irrigation compensation parameter for the boundary monitoring point is increased and adjusted; The increase value of the drip irrigation compensation parameter is positively correlated with the root reconstruction coefficient.

[0042] Among them, for a single boundary monitoring point, the root reconstruction coefficient is the product of the drip irrigation device distribution coefficient and the drip irrigation water consumption, the drip irrigation device distribution coefficient is the number of drip irrigation devices within the analysis distribution range of the boundary monitoring point, the analysis distribution range is a sphere with the location of the boundary monitoring point as the sphere center and the preset boundary distance as the sphere radius, and the drip irrigation water consumption is the average water consumption of each drip irrigation device within the analysis distribution range of the boundary monitoring point in the current crop monitoring cycle; The value of the preset root reconstruction coefficient can be determined by the user according to the actual working scenario. For example, the user can set it according to the crop monitoring record. The higher the user's requirement for the accuracy of the analysis results of the target burning components, the smaller the value of the preset root reconstruction coefficient. A method for setting the value of the preset root reconstruction coefficient is provided, and the crop monitoring record for compensating and adjusting the drip irrigation compensation parameters of the junction monitoring point is recorded as a reconstruction reference record, and the minimum value of the root reconstruction coefficient in the reconstruction reference record that meets the user's requirement for the effectiveness of the irrigation adjustment process of the target monitoring zone is recorded as the preset root reconstruction coefficient.

[0043] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0044] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart agriculture online industrial monitoring system, characterized in that: include: A partition assessment module is used to determine a monitoring and analysis strategy in response to the crop abundance index and crop boundary parameters of the partition assessment conditions, wherein the monitoring and analysis strategy is to adjust the drip irrigation compensation parameters of the target monitoring partition based on the crop growth association analysis or the crop growth cycle analysis; A growth analysis module, which is connected to the partition evaluation module, is used to respond to the point action coefficient of the point correction condition to determine the point correction method of each intersection monitoring point, and the point correction method is to determine the drip irrigation compensation parameter according to the associated growth difference coefficient, or to adjust the drip irrigation compensation parameter according to the water demand coefficient and the root extension parameter; A cycle analysis module, which is connected to the partition evaluation module, and is used to determine the irrigation compensation parameters for each boundary monitoring point in the target monitoring partition based on the growth cycle overlap and to adjust the compensation method; A reconstruction compensation module is connected to the growth analysis module and the period analysis module, and is used to respond to the reconstruction compensation condition to determine whether to perform compensation adjustment on the drip irrigation compensation parameters of each boundary monitoring point.

2. The smart agriculture online industrialization monitoring system according to claim 1 is characterized in that: The partition evaluation condition responded by the partition evaluation module is that the crop abundance index corresponding to a target monitoring partition is greater than the preset crop abundance index or the crop boundary parameter is greater than the preset crop boundary parameter, then the growth analysis module is determined to adjust the drip irrigation compensation parameter for the target monitoring partition based on the crop growth association analysis, and the crop growth association analysis includes: The growth analysis module responds to the associated analysis conditions and determines the point action coefficient of each boundary monitoring point based on the root extension parameter and the associated crop parameter; Determine the point correction method of each intersection monitoring point according to the point action coefficient; The association analysis condition is that the partition evaluation module determines that the growth analysis module adjusts the drip irrigation compensation parameters of a target monitoring partition based on the crop growth association analysis.

3. The smart agriculture online industrialization monitoring system according to claim 2 is characterized in that: If the point correction condition responded by the growth analysis module is that the point action coefficient of a junction monitoring point is greater than the preset point action coefficient, it is determined that the first analysis execution unit responds to the analysis determination condition to determine the adjustment method of the drip irrigation compensation parameter of the junction monitoring point; The analysis determination condition responded by the first analysis execution unit is that the correlation growth difference coefficient of a boundary monitoring point is less than or equal to the preset correlation growth difference coefficient, then it is determined to increase and adjust the drip irrigation compensation parameter of the relevant drip irrigation device of the boundary monitoring point according to the point action coefficient and the growth action coefficient; The increase value of the drip irrigation compensation parameter is positively correlated with the point effect coefficient and the growth effect coefficient respectively.

4. The smart agriculture online industrialization monitoring system according to claim 3 is characterized in that: The analysis determination condition responded by the first analysis execution unit is that the correlation growth difference coefficient of a boundary monitoring point is greater than the preset correlation growth difference coefficient, then it is determined to increase the drip irrigation compensation parameter of the relevant drip irrigation device of the boundary monitoring point according to the reference crop correlation coefficient of the compensation reference set; The increase value of the drip irrigation compensation parameter is positively correlated with the reference crop correlation coefficient; The compensation reference set is determined based on the key growth stages of each associated crop and the key root areas of the crop.

5. The smart agriculture online industrialization monitoring system according to claim 4 is characterized in that: The first analysis execution unit determines the correlation growth difference coefficient of each boundary monitoring point according to the overlap of key growth cycles and the root action difference parameter; The overlap of the key growth cycles is the ratio of the sum of the durations of the key growth cycles to the duration of the current crop detection cycle, and the key growth cycles are determined according to the key growth coefficients of the monitoring segment cycles; The correlation growth difference coefficient is negatively correlated with the overlap of key growth cycles; The correlation growth difference coefficient and the root action difference parameter are positively correlated.

6. The smart agriculture online industrialization monitoring system according to claim 5 is characterized in that: The point correction condition responded by the growth analysis module is that the point action coefficient of a boundary monitoring point is less than or equal to the preset point action coefficient, then it is determined that the second analysis execution unit increases the drip irrigation compensation parameter of the relevant drip irrigation device of the boundary monitoring point according to the water demand coefficient and root extension parameter of each associated crop; The increase value of the drip irrigation compensation parameter is positively correlated with the water demand coefficient and the root extension parameter.

7. The smart agriculture online industrialization monitoring system according to claim 6 is characterized in that: The partition evaluation condition responded by the partition evaluation module is that the crop abundance index corresponding to a target monitoring partition is less than or equal to the preset crop abundance index and the crop boundary parameter is less than or equal to the preset crop boundary parameter, then the determination cycle analysis module adjusts the drip irrigation compensation parameter for the target monitoring partition based on the crop growth cycle analysis, and the crop growth cycle analysis includes: The cycle analysis module responds to the cycle analysis conditions and determines whether to adjust the irrigation parameters of each boundary monitoring point in the target monitoring zone based on the growth cycle overlap; The cycle analysis condition is that the partition evaluation module determines that the cycle analysis module adjusts the drip irrigation compensation parameters of a target monitoring partition based on the crop growth cycle analysis.

8. The smart agriculture online industrialization monitoring system according to claim 7 is characterized in that: The corresponding cycle adjustment condition of the cycle analysis module is that the growth cycle overlap is greater than the preset growth cycle overlap, then it is determined that the drip irrigation compensation parameters of the intersection monitoring points of the analysis intersection lines corresponding to the overlapping growth cycles are increased and adjusted according to the root difference parameters of each overlapping crop combination; The increase value of the drip irrigation compensation parameter is negatively correlated with the root system difference parameter.

9. The smart agriculture online industrialization monitoring system according to claim 8 is characterized in that: The reconstruction compensation module responds to the preliminary compensation condition, and the reconstruction compensation module determines the root reconstruction coefficient of each boundary monitoring point based on the drip irrigation device distribution coefficient and the drip irrigation water consumption; The reconstruction compensation module responds to the reconstruction compensation condition to determine whether to perform compensation adjustment on the drip irrigation compensation parameters of each boundary monitoring point; The preliminary compensation condition is that the adjustment of drip irrigation compensation parameters is completed at each boundary monitoring point within the target monitoring area.

10. The smart agriculture online industrialization monitoring system according to claim 9 is characterized in that: The reconstruction compensation condition responded by the reconstruction compensation module is that the root reconstruction coefficient of a boundary monitoring point is greater than the preset root reconstruction coefficient, then it is determined that the drip irrigation compensation parameter for the boundary monitoring point is increased and adjusted; The increase value of the drip irrigation compensation parameter is positively correlated with the root reconstruction coefficient.

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