A method and system for optimizing abnormal monitoring of coix seed rice storage environment

Abstract

The invention discloses a method and system for optimizing abnormal monitoring of a coix seed rice storage environment, which belongs to the field of coix seed rice storage environment monitoring and solves the problem of how to avoid frequent abnormal warning of the coix seed rice storage environment caused by a single detection and analysis method, while avoiding the problem of taking more complicated environmental abnormal monitoring and early warning; the method comprises: combining an environmental state identification data set and an equipment abnormality degree to analyze and judge whether there is a potential abnormality in the storage environment of the coix seed rice in a target area at present; combining an environmental state identification data set to analyze and obtain the current environmental development trend of the coix seed rice in the target area; obtaining the current quality development trend of the coix seed rice in the target area according to quality detection data analysis; when there is a potential abnormality in the storage environment of the coix seed rice in the target area at present, the current environmental development trend and quality development trend of the coix seed rice in the target area are comprehensively analyzed, and an early warning is given for the abnormal storage environment of the coix seed rice in the target area.

Description

Technical Field

[0001] The invention belongs to the field of coix seed rice storage environment monitoring, and in particular to a coix seed rice storage environment abnormality monitoring optimization method and system. Background Art

[0002] Job's tears, also known as coix seed, coix rice, and six millets, is a grain with both medicinal and edible value. Its scientific name is Coix lacryma-jobi, and it is the seed kernel of the plant of the genus Coix in the Poaceae family. Job's tears is widely used in traditional Asian diets and Chinese medicine, and has many health benefits, such as strengthening the spleen, removing dampness, and clearing heat. Since Job's tears is a grain that is easily affected by the environment, it may become moldy and infested with insects under inappropriate storage conditions. Therefore, it needs to be properly stored to maintain its quality and safety.

[0003] When storing coix rice in large storage enterprises, an automated monitoring system is usually installed to detect the storage environment in real time and automatically adjust the environmental parameters. This method can effectively extend the storage period of coix rice and ensure that it maintains good quality and nutritional value during storage. However, this monitoring method is mostly based on a single detection and analysis method. Although it can be adjusted in time by environmental adjustment equipment, in actual application, storage environment abnormalities still occur during storage. In addition, when the sensor detects abnormal environmental parameters in real time, the system often frequently issues unimportant warnings. These frequent and unimportant warning messages will not only delay the handling of real abnormal situations, but may also cause staff to ignore or delay responding to key issues. In addition, when the existing method is combined with other warning methods, such as adopting machine learning for environmental abnormality monitoring and warning, it is usually more complicated. To this end, the present invention proposes a method and system for optimizing abnormal monitoring of coix rice storage environment. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a method and system for optimizing abnormal monitoring of the storage environment of coix seed rice, which solves the problem of how to avoid frequent abnormal warnings of the storage environment of coix seed rice caused by a single detection and analysis method, while avoiding the problem of taking more complex environmental abnormal monitoring and warning.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A method and system for optimizing abnormal monitoring of coix seed rice storage environment, comprising:

[0007] Step S1: obtaining real-time environmental detection data of coix seed rice in the target area, and obtaining a corresponding environmental state identification data set according to the real-time environmental detection data analysis; at the same time, obtaining the equipment state record data of each environmental adjustment device according to the detection time point of the real-time environmental detection data, and obtaining the equipment abnormality degree of coix seed rice in the target area according to the equipment state record data analysis; combining the corresponding environmental state identification data set and the equipment abnormality degree of coix seed rice in the target area, analyzing and judging whether there is a potential abnormality in the storage environment of coix seed rice in the target area at present;

[0008] Step S2: comparing the time value of the time interval from the most recent quality detection time point of coix seed rice in the target area to the current environmental detection time point with the preset observation time value, and analyzing and obtaining the current environmental development trend of coix seed rice in the target area in combination with the environmental status identification data set;

[0009] Step S3: obtaining the latest two quality inspection data of coix seed rice in the target area, and obtaining the current quality development trend of coix seed rice in the target area according to the latest two quality inspection data of coix seed rice in the target area;

[0010] Step S4: When there is a potential abnormality in the storage environment of the coix seed rice in the target area, the current environmental development trend and quality development trend of the coix seed rice in the target area are analyzed comprehensively, and an early warning is issued for the abnormal storage environment of the coix seed rice in the target area.

[0011] Furthermore, the environmental status identification data set includes information on the status of each environmental parameter within a corresponding environmental detection time interval, and the corresponding environmental detection time interval refers to the time interval between the corresponding environmental detection time point and the previous environmental detection time point; the environmental parameter status refers to whether the environmental parameter value is normal or abnormal; if any environmental parameter contained in the environmental status identification data set obtained in real time by the coix seed rice in the target area is in an abnormal state, the environmental status identification data set is marked with an abnormal label; if all environmental parameters contained in the environmental status identification data set obtained in real time by the coix seed rice in the target area are in normal states, the environmental status identification data set is marked with a normal label.

[0012] Furthermore, the method of obtaining the abnormality degree of the coix seed rice equipment in the target area according to the equipment status record data analysis includes:

[0013] The equipment status record data of each environmental conditioning device is traversed and counted to obtain the equipment fault alarm times, power consumption, opening times, and closing times of each environmental conditioning device within the current environmental detection time interval, which are marked as , , as well as ; i = 1, 2…n; n represents the number of environmental conditioning devices for coix seed rice in the target area;

[0014] The device abnormality value of the current environment detection time interval is obtained by calculation. The calculation formula is: ; In the formula, ER represents the abnormality level of the equipment, and TC represents the current environment detection time interval;

[0015] A device abnormality level threshold is preset, and the calculated device abnormality level value is compared with the preset device abnormality level threshold; if the calculated device abnormality level value is less than the preset device abnormality level threshold, a signal is generated indicating that the device abnormality level of coix seed rice in the target area is small; if the calculated device abnormality level value is greater than or equal to the preset device abnormality level threshold, a signal is generated indicating that the device abnormality level of coix seed rice in the target area is large.

[0016] Furthermore, the corresponding environmental status identification data set and the degree of equipment abnormality of the coix seed rice in the target area are combined to analyze and determine whether there is a potential abnormality in the storage environment of the coix seed rice in the target area at present, including: when the environmental status identification data set corresponding to the real-time environmental detection data of the coix seed rice in the target area is marked as abnormal, or a signal is generated that the degree of equipment abnormality of the coix seed rice in the target area is large, then a signal is generated that there is a potential abnormality in the storage environment of the coix seed rice in the target area; when the environmental status identification data set corresponding to the real-time environmental detection data of the coix seed rice in the target area is marked as normal, and a signal is generated that the degree of equipment abnormality of the coix seed rice in the target area is small, then a signal is generated that the storage environment of the coix seed rice in the target area is normal.

[0017] Furthermore, the analysis method of step S2 specifically includes:

[0018] Mark the time interval between the most recent quality detection time point of coix seed rice in the target area and the current real-time environment detection time point as the first time interval;

[0019] Preset observation time value, compare the time value of the first time interval with the preset observation time value; if the time value of the first time interval is greater than or equal to the preset observation time value, then combine all environmental state identification data sets in the first time interval to calculate and obtain the current environmental development trend value of coix seed rice in the target area; if the time value of the first time interval is less than the preset observation time value, then combine all environmental state identification data sets in the second time interval to calculate and obtain the current environmental development trend value of coix seed rice in the target area; wherein the second time interval refers to the time interval between the quality detection time point adjacent to the most recent quality detection time point in the target area and the current environmental detection time point;

[0020] Marking the first time interval or the second time interval to be studied as a target time interval;

[0021] Calculate and obtain the environmental anomaly rate in each environmental detection time interval within the target time interval, and statistically obtain the time value of each environmental detection time interval within the target time interval;

[0022] If the time values ​​of each environment detection time interval within the target time interval are the same, then according to the calculation formula , calculate and obtain the current environmental development trend value FZ of coix seed rice in the target area; where r represents the number of each environmental detection time interval in the target time interval, r=2,3…R; R represents the total number of environmental detection time intervals in the target time interval; It represents the environmental anomaly rate of the environmental detection time interval numbered r; represents the environmental abnormality rate of the environmental detection time interval numbered r-1; T represents the time value of each environmental detection time interval;

[0023] If the time values ​​of each environmental detection time interval within the target time interval are not exactly the same, then the environmental detection time intervals with the same time values ​​and continuous in time are divided into one group according to the time sequence, and the calculation formula is used to calculate the time intervals. , calculate and obtain the current environmental development trend value FZ of coix seed rice in the target area; where d represents the group number of the environmental detection time interval group, d=1,2…D; D represents the total number of environmental detection time interval groups in the target time interval; f represents the number of each environmental detection time interval in the corresponding environmental detection time interval group, and f=2,3…F; F represents the total number of environmental detection time intervals contained in the corresponding environmental detection time interval group; It indicates the environmental abnormality rate of the environmental detection time interval with group number d and the environmental detection time interval with group number f; It represents the environmental anomaly rate of the environmental detection time interval with group number d and the environmental detection time interval with group number f-1; Indicates the time value of each environment detection time interval included in the environment detection time interval group with group number d.

[0024] Furthermore, the environmental anomaly rate within each environmental detection time interval is calculated as follows: an environmental state identification data set within the corresponding environmental detection time interval is obtained, and the total number of environmental parameters in the environmental state identification data set and the number of environmental parameters marked as abnormal are counted by traversing the environmental state identification data set within the corresponding environmental detection time interval; the ratio of the number of environmental parameters marked as abnormal in the environmental state identification data set to the total number of environmental parameters is marked as the environmental anomaly rate within the corresponding environmental detection time interval.

[0025] Further, in step S3, the quality inspection data refers to the comprehensive score of quality inspection;

[0026] The method of obtaining the current quality development trend of coix seed rice in the target area based on the latest two quality inspection data of coix seed rice in the target area includes:

[0027] The most recent comprehensive score of the quality inspection of coix seed rice in the target area is marked as C1, and the comprehensive score of the quality inspection time point adjacent to the most recent quality inspection time point is marked as C2;

[0028] According to the calculation formula , calculate and obtain the current quality development trend value QZ of coix seed rice in the target area; where C0 represents the qualified value of the comprehensive score of the quality inspection of coix seed rice in the target area;

[0029] If QZ is greater than 0, it means that the quality of Job's tears rice in the current target area has improved; if QZ is less than 0, it means that the quality of Job's tears rice in the current target area has deteriorated; if QZ is equal to 0, it means that the quality of Job's tears rice in the current target area remains unchanged.

[0030] Furthermore, the analysis method of step S4 specifically includes:

[0031] Obtain the current environmental development trend value FZ and quality development trend value QZ of coix seed rice in the target area, assign preset proportional coefficients respectively, and calculate the current storage environment warning coefficient YR of coix seed rice in the target area. The calculation formula is: ; In the formula, ɑ and β represent the preset proportional coefficients of the current quality development trend value and environmental development trend value of coix seed rice in the target area respectively; and the values ​​of ɑ and β are both greater than 0;

[0032] Preset a storage environment warning coefficient threshold, and compare the calculated storage environment warning coefficient with the preset storage environment warning coefficient threshold;

[0033] If the calculated storage environment warning coefficient is greater than or equal to the preset storage environment warning coefficient threshold, a normal signal of the coix seed rice storage environment in the target area is generated; no processing is required at this time;

[0034] If the calculated storage environment warning coefficient is less than the preset storage environment warning coefficient threshold, an abnormal warning signal for the coix seed rice storage environment in the target area is generated; further processing is required.

[0035] Further, a coix seed rice storage environment abnormality monitoring optimization system is based on the implementation of a coix seed rice storage environment abnormality monitoring optimization method, the system includes: an abnormality preprocessing module, an environmental development trend analysis module, a quality development trend analysis module and an environmental abnormality early warning analysis module;

[0036] The abnormal preprocessing module is used to obtain the real-time environmental detection data of the coix seed rice in the target area, and obtain the corresponding environmental state identification data set according to the real-time environmental detection data analysis; at the same time, the equipment state recording data of each environmental adjustment device is obtained according to the detection time point of the real-time environmental detection data, and the equipment abnormality degree of the coix seed rice in the target area is obtained according to the equipment state recording data analysis; combined with the corresponding environmental state identification data set and the equipment abnormality degree of the coix seed rice in the target area, it is analyzed and judged whether there is a potential abnormality in the storage environment of the coix seed rice in the target area at present;

[0037] The environmental development trend analysis module is used to compare the time value of the time interval from the most recent quality detection time point of coix seed rice in the target area to the current environmental detection time point with the preset observation time value, and analyze and obtain the current environmental development trend of coix seed rice in the target area in combination with the environmental status identification data set;

[0038] The quality development trend analysis module is used to obtain the latest two quality inspection data of coix seed rice in the target area, and obtain the current quality development trend of coix seed rice in the target area according to the latest two quality inspection data of coix seed rice in the target area;

[0039] The environmental anomaly warning analysis module is used to analyze the current environmental development trend and quality development trend of the coix seed rice in the target area when there is potential anomaly in the storage environment of the coix seed rice in the target area, and to issue an early warning of the storage environment anomaly of the coix seed rice in the target area.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. In the present invention, by analyzing and processing the real-time environmental detection data in the storage environment of coix seed rice, as long as there is an environmental parameter that is not within the corresponding environmental parameter standard range, it is marked as an abnormal environmental state. At the same time, the equipment abnormality degree of the environmental adjustment equipment within the environmental detection time interval is monitored in real time. The environmental adjustment equipment will also affect the storage environment of coix seed rice under a certain abnormality degree; when there is an abnormality in the environmental detection or the abnormality degree of the environmental adjustment equipment is large, a signal that there is a potential abnormality in the current storage environment of coix seed rice is generated, and combined with the recent historical data of environmental detection and quality detection, a comprehensive analysis is performed to determine whether the storage environment of coix seed rice currently needs an early warning. This method is different from the mechanism of the prior art that immediately warns once an environmental detection abnormality occurs. Frequent unimportant early warning information will affect the timely judgment and processing of the truly abnormal environment, and may cause delayed processing of the abnormal storage environment of coix seed rice. The present invention optimizes the single environmental monitoring method in the prior art and provides a more flexible and accurate monitoring means, thereby improving the management of the coix seed rice storage environment and the efficiency of abnormal processing.

[0042] 2. In the present invention, by comparing the time value of the corresponding time interval with the preset observation time value and combining the environmental status identification data set, the current environmental development trend of coix seed rice can be analyzed and predicted, which is helpful to take protective measures in advance; and by analyzing the quality detection data of the last two times, the changing trend of the quality of coix seed rice can be tracked to ensure the continuous stability of the storage quality; when a potential abnormality is detected in the storage environment, an early warning is issued by comprehensively analyzing the environmental development trend and the quality development trend, wherein the analysis and calculation of the environmental development trend and the quality development trend are relative, and do not affect the early warning when the storage environment is found to have a potential abnormality, which is simple and easy to understand, easy to implement and apply; and the combination of the two development trends can balance the environmental and quality factors, avoid false alarms caused by extreme changes in a single factor, and the triggering of the early warning is more scientific and accurate; the method of the present invention can take measures in time to avoid further deterioration of the quality of coix seed rice, automated environmental and quality monitoring, and intelligent abnormal early warning, which can greatly improve the efficiency of the coix seed rice storage environment and reduce the workload and error rate of manual monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 A flow chart of an abnormal monitoring and optimization method for the storage environment of coix seed rice according to the present invention;

[0044] Figure 2 The present invention is a schematic diagram of the structure of a system for monitoring and optimizing the abnormal storage environment of coix seed rice. DETAILED DESCRIPTION

[0045] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0046] like Figure 1 As shown, a method for optimizing abnormal monitoring of coix seed rice storage environment comprises:

[0047] Step S1: obtaining real-time environmental detection data of coix seed rice in the target area, and obtaining a corresponding environmental state identification data set according to the real-time environmental detection data analysis; at the same time, obtaining the equipment state record data of each environmental adjustment device according to the detection time point of the real-time environmental detection data, and obtaining the equipment abnormality degree of coix seed rice in the target area according to the equipment state record data analysis; combining the corresponding environmental state identification data set and the equipment abnormality degree of coix seed rice in the target area, analyzing and judging whether there is a potential abnormality in the storage environment of coix seed rice in the target area at present;

[0048] Step S2: comparing the time value of the time interval from the most recent quality detection time point of coix seed rice in the target area to the current environmental detection time point with the preset observation time value, and analyzing and obtaining the current environmental development trend of coix seed rice in the target area in combination with the environmental status identification data set;

[0049] Step S3: obtaining the latest two quality inspection data of coix seed rice in the target area, and obtaining the current quality development trend of coix seed rice in the target area according to the latest two quality inspection data of coix seed rice in the target area;

[0050] Step S4: When there is a potential abnormality in the storage environment of the coix seed rice in the target area, the current environmental development trend and quality development trend of the coix seed rice in the target area are analyzed comprehensively, and an early warning is issued for the abnormal storage environment of the coix seed rice in the target area.

[0051] It is understandable that the storage of coix seed rice requires strict control of environmental conditions to ensure its quality and safety. During storage, the coix seed rice will be stored in different batches or other classification standards. In the embodiment of the present invention, for the convenience of description, the area of ​​coix seed rice to be studied is marked as the target area;

[0052] In step S1, the method of obtaining the real-time environmental detection data of the coix seed rice in the target area can be obtained by detection of relevant environmental detection sensors set in the target area, wherein the environmental detection data includes but is not limited to: temperature, humidity, gas concentration, wind speed, etc.; wherein the gas concentration includes oxygen concentration, carbon dioxide concentration and ethylene concentration, etc.; changes in different types of environmental detection parameter values ​​will affect the quality of the coix seed rice, which will not be repeated here; the method of obtaining the corresponding environmental state identification data set based on the real-time environmental detection data analysis includes: comparing the various environmental parameters included in the real-time environmental detection data of the coix seed rice in the target area with the corresponding preset environmental parameter standard range, wherein the preset environmental parameter standard range corresponding to each environmental parameter is formulated according to industry standards; marking the corresponding environmental parameters that do not belong to the corresponding preset environmental parameter standard range as abnormal Normally, the corresponding environmental parameters belonging to the corresponding preset environmental parameter standard range are marked as normal, and then the environmental status identification data set corresponding to the real-time environmental detection data of coix seed rice in the target area is obtained, and the environmental status identification data set includes information on the status of each environmental parameter in the corresponding environmental detection time interval, and the corresponding environmental detection time interval refers to the time interval between the corresponding environmental detection time point and the previous environmental detection time point; the environmental parameter status refers to whether the environmental parameter value is normal or abnormal; further, if any environmental parameter included in the environmental status identification data set obtained in real time by coix seed rice in the target area is in an abnormal state, the environmental status identification data set is marked with an abnormal label; if all environmental parameters included in the environmental status identification data set obtained in real time by coix seed rice in the target area are in a normal state, the environmental status identification data set is marked with a normal label;

[0053] The environmental adjustment device refers to a device used to adjust the storage environment of the coix seed rice in the target area. For example, a temperature and humidity controller can be used to adjust the storage temperature and humidity of the coix seed rice. The specific environmental adjustment device is generally provided in multiples according to needs. In this embodiment, the device status record data includes device alarm records, power consumption records, opening and closing records, etc. In this embodiment, the device status record data of the time interval between the environmental detection time point to which the current real-time environmental detection data belongs to and the previous environmental detection time point is extracted from each environmental adjustment device, that is, the device status record data within the current environmental detection time interval; data analysis within the same time interval is comparable and relevant, which is helpful for problem analysis;

[0054] The method of obtaining the abnormality degree of the coix seed rice equipment in the target area according to the equipment status record data analysis includes:

[0055] The equipment status record data of each environmental conditioning device is traversed and counted to obtain the equipment fault alarm times, power consumption, opening times, and closing times of each environmental conditioning device within the current environmental detection time interval, and marked as , , as well as ; i = 1, 2…n; n represents the number of environmental conditioning devices for coix seed rice in the target area;

[0056] The device abnormality value of the current environment detection time interval is obtained by calculation. The calculation formula is: ; In the formula, ER represents the abnormality level of the equipment, and TC represents the current environment detection time interval;

[0057] It can be understood that when the values ​​of the equipment fault alarm times, power consumption, opening times and closing times of each environmental adjustment device are greater, the equipment abnormality value is greater, which may affect the storage environment of the coix seed rice, making the storage environment of the coix seed rice worse, thereby affecting the storage quality of the coix seed rice;

[0058] A preset device abnormality threshold is obtained by technicians in the field based on a large amount of device status record data of environmental adjustment devices and analysis of the actual storage environment of coix seed rice;

[0059] The calculated device abnormality value is compared with the preset device abnormality threshold; if the calculated device abnormality value is less than the preset device abnormality threshold, a signal indicating that the device abnormality of coix seed rice in the target area is small is generated; if the calculated device abnormality value is greater than or equal to the preset device abnormality threshold, a signal indicating that the device abnormality of coix seed rice in the target area is large is generated;

[0060] The step of combining the corresponding environmental status identification data set of the coix seed rice in the target area and the degree of equipment abnormality to analyze and determine whether there is a potential abnormality in the storage environment of the coix seed rice in the target area at present includes:

[0061] When the environmental status identification data set corresponding to the real-time environmental detection data of coix seed rice in the target area is marked as abnormal, or a signal is generated that the equipment abnormality of coix seed rice in the target area is large, a signal is generated that there is a potential abnormality in the storage environment of coix seed rice in the target area; at this time, it is necessary to combine the historical quality detection data and the historical environmental status identification data set data for further analysis to determine whether an early warning of the storage environment is needed;

[0062] When the environmental status identification data set corresponding to the real-time environmental detection data of the coix seed rice in the target area is marked as normal, and a signal is generated indicating that the abnormality of the equipment of the coix seed rice in the target area is small, a signal indicating that the storage environment of the coix seed rice in the target area is normal is generated; this indicates that the storage environment of the coix seed rice in the target area is in a normal state at this time and does not require further analysis and processing;

[0063] In the present invention, by analyzing and processing the real-time environmental detection data in the storage environment of coix seed rice, as long as there is an environmental parameter that is not within the corresponding environmental parameter standard range, it is marked as an abnormal environmental state, and at the same time, the equipment abnormality degree of the environmental adjustment equipment within the environmental detection time interval is monitored in real time. The environmental adjustment equipment will also affect the storage environment of coix seed rice under a certain abnormality degree; when there is an abnormality in the environmental detection or the abnormality degree of the environmental adjustment equipment is large, a signal that there is a potential abnormality in the current storage environment of coix seed rice is generated, and combined with the recent historical data of environmental detection and quality detection, a comprehensive analysis is performed to determine whether the storage environment of coix seed rice currently needs an early warning. This method is different from the mechanism of the prior art that immediately issues an early warning once an environmental detection abnormality occurs. Frequent unimportant early warning information will affect the timely judgment and processing of the truly abnormal environment, and may cause delayed processing of the coix seed rice storage environment. The present invention optimizes the single environmental monitoring method in the prior art, provides a more flexible and accurate monitoring means, and thus improves the efficiency of management and abnormal processing of the coix seed rice storage environment;

[0064] In step S2, the environmental state identification data set includes information on the state of each environmental parameter in the corresponding environmental detection interval, wherein the information on the state of the environmental parameter includes abnormal state information or normal state information of the environmental parameter;

[0065] The analysis method of step S2 specifically includes:

[0066] Mark the time interval between the most recent quality detection time point of coix seed rice in the target area and the current real-time environment detection time point as the first time interval;

[0067] The preset observation time value is set to prevent the first time interval from being too short, so that when analyzing the environmental detection result and the analysis data, the final analysis result is accidental due to the small amount of data; for example, the observation time value can be set to 24 hours;

[0068] It should be noted that the storage environment of coix seed rice is greatly affected by season and climate. A higher frequency can be set in the hot and humid summer, such as the environment detection frequency is set to once an hour, and the quality detection frequency is set to once a week. A lower frequency can be set in the low temperature and dry winter, such as the environment detection frequency is set to once every 3 hours, and the quality detection frequency is set to once a month. In the transition seasons of spring and autumn, an intermediate frequency can be set, such as the environment detection frequency is set to once every 2 hours, and the quality detection frequency is set to once every 2 weeks; the observation time value needs to be set according to the environment detection frequency and quality detection frequency of coix seed rice, which will not be elaborated here;

[0069] Compare the time value of the first time interval with the preset observation time value; there are two cases:

[0070] If the time value of the first time interval is greater than or equal to the preset observation time value, then all environmental status identification data sets within the first time interval are combined to calculate and obtain the current environmental development trend value of coix seed rice in the target area;

[0071] If the time value of the first time interval is less than the preset observation time value, then all environmental status identification data sets in the second time interval are combined to calculate and obtain the current environmental development trend value of coix seed rice in the target area; wherein the second time interval refers to the time interval between the quality detection time point adjacent to the most recent quality detection time point in the target area and the current environmental detection time point;

[0072] Among them, the current environmental development trend value of coix seed rice in the target area is calculated by combining all historical environmental status identification data sets within the first time interval or the second time interval. For the convenience of description, according to the comparison result between the time value of the first time interval and the preset observation time value, the first time interval or the second time interval to be studied is marked as the target time interval; specifically including:

[0073] Calculate and obtain the environmental anomaly rate in each environmental detection time interval within the target time interval. The calculation method is as follows: obtain the environmental state identification data set within the corresponding environmental detection time interval, traverse the environmental state identification data set within the corresponding environmental detection time interval, and count the total number of environmental parameters in the environmental state identification data set and the number of environmental parameters marked as abnormal; mark the ratio of the number of environmental parameters marked as abnormal in the environmental state identification data set to the total number of environmental parameters as the environmental anomaly rate in the corresponding environmental detection time interval;

[0074] Statistically obtain the time value of each environment detection time interval within the target time interval;

[0075] If the time values ​​of each environment detection time interval within the target time interval are the same, then according to the calculation formula , calculate and obtain the current environmental development trend value of coix seed rice in the target area; where FZ represents the current environmental development trend value of coix seed rice in the target area; r represents the number of each environmental detection time interval in the target time interval, r=2,3…R; R represents the total number of environmental detection time intervals in the target time interval; It represents the environmental anomaly rate of the environmental detection time interval numbered r; represents the environmental abnormality rate of the environmental detection time interval numbered r-1; T represents the time value of each environmental detection time interval;

[0076] If the time values ​​of each environmental detection time interval in the target time interval are not exactly the same, then the environmental detection time intervals with the same time values ​​and continuous in time are divided into a group in chronological order. It can be understood that it is not necessary to group all environmental detection time intervals with the same time values ​​in the target time interval together, but to divide and arrange them in chronological order. If the time values ​​of two environmental detection time intervals are the same, but there are other environmental detection time intervals with different time values ​​between the two environmental detection time intervals, then they need to be arranged in chronological order at this time; according to the calculation formula , calculate and obtain the current environmental development trend value FZ of coix seed rice in the target area; where d represents the group number of the environmental detection time interval group, d=1,2…D; D represents the total number of environmental detection time interval groups in the target time interval; f represents the number of each environmental detection time interval in the corresponding environmental detection time interval group, and f=2,3…F; F represents the total number of environmental detection time intervals contained in the corresponding environmental detection time interval group; It indicates the environmental abnormality rate of the environmental detection time interval with group number d and the environmental detection time interval with group number f; It represents the environmental anomaly rate of the environmental detection time interval with group number d and the environmental detection time interval with group number f-1; Indicates the time values ​​of each environmental detection time interval contained in the environmental detection time interval group with group number d; it should be noted that the time values ​​of each environmental detection time interval contained in an environmental detection time interval group are the same;

[0077] It is understandable that the environmental detection frequency or quality detection frequency may change under different seasonal climates or due to other reasons. When any type of detection frequency changes, distinguishing the time values ​​of different environmental detection time intervals can avoid errors caused by directly comparing environmental abnormality rates of different time lengths.

[0078] The current environmental development trend value of coix seed rice in the target area obtained by calculation is numerically analyzed. If the environmental development trend value is a positive value, it means that the environmental abnormality rate is increasing in the target time interval, and the storage environment of coix seed rice in the target area is deteriorating; if the environmental development trend value is a negative value, it means that the environmental abnormality rate is decreasing in the target time interval, and the storage environment of coix seed rice in the target area is improved; if the environmental development trend value is zero, it means that the environmental abnormality rate has no significant change in the target time interval, and the storage environment of coix seed rice in the target area has not changed significantly;

[0079] In step S3, in an embodiment of the present invention, the quality inspection data refers to a comprehensive quality inspection score; the comprehensive quality inspection score is obtained by a person skilled in the art through professional techniques, mainly by extracting samples, and then analyzing and obtaining various quality parameters of coix seed rice according to various special quality analysis equipment and instruments for coix seed rice, the quality parameters including but not limited to moisture content, protein content, fat content, color, ash content, particle size, mold and microorganism quantity, pesticide residue rate, etc.; among them, the larger the value of some quality parameters, the better, the smaller the value of some quality parameters, the better, and some quality parameters are in In the range of not too big or too small, different weight coefficient values ​​are set for each quality parameter. If the value of the quality parameter is as large as possible, the weight coefficient value is set to be larger. If the value of the quality parameter is as small as possible, the weight coefficient value is set to be smaller. If the quality parameter is in the range of not too big or too small, the weight coefficient is set to be at a certain value. Generally, in order to score the quality of coix seed rice, the quality inspection comprehensive score value is set to be as large as possible. In this industry, there are different names for quality scoring, which are referred to as quality inspection comprehensive score values ​​in the present invention. The quality inspection comprehensive score value is a prior art and will not be elaborated on here.

[0080] The method of obtaining the current quality development trend of coix seed rice in the target area based on the latest two quality inspection data of coix seed rice in the target area includes:

[0081] The most recent comprehensive score of the quality inspection of coix seed rice in the target area is marked as C1, and the comprehensive score of the quality inspection time point adjacent to the most recent quality inspection time point is marked as C2;

[0082] According to the calculation formula , calculate and obtain the current quality development trend value QZ of coix seed rice in the target area; where C0 represents the qualified value of the comprehensive score of the quality inspection of coix seed rice in the target area;

[0083] If QZ is greater than 0, it means that the quality of Job's tears rice in the current target area has improved; if QZ is less than 0, it means that the quality of Job's tears rice in the current target area has deteriorated; if QZ is equal to 0, it means that the quality of Job's tears rice in the current target area remains unchanged;

[0084] It should be noted that step S2 and step S3 can be performed simultaneously or sequentially; step S2 and step S3 can also be performed after step S4;

[0085] The analysis method of step S4 specifically includes:

[0086] The current environmental development trend value and quality development trend value of coix seed rice in the target area are obtained, and the preset proportional coefficients are assigned respectively. The current storage environment warning coefficient of coix seed rice in the target area is calculated. The calculation formula is: ; In the formula, YR represents the current storage environment warning coefficient of coix seed rice in the target area; ɑ and β represent the preset proportional coefficients of the current quality development trend value and environmental development trend value of coix seed rice in the target area respectively; and the values ​​of ɑ and β are both greater than 0;

[0087] Preset a storage environment warning coefficient threshold, and compare the calculated storage environment warning coefficient with the preset storage environment warning coefficient threshold;

[0088] If the calculated storage environment warning coefficient is greater than or equal to the preset storage environment warning coefficient threshold, a normal signal of the coix seed rice storage environment in the target area is generated; no processing is required at this time;

[0089] If the calculated storage environment warning coefficient is less than the preset storage environment warning coefficient threshold, an abnormal warning signal of the coix seed rice storage environment in the target area is generated; further processing is required;

[0090] Among them, α, β and the preset storage environment warning coefficient threshold are obtained by technicians in this field based on a large amount of sample data and the actual situation of the storage environment. The method adopted can adopt the expert scoring method, which will not be elaborated in detail here;

[0091] In the present invention, by comparing the time value of the corresponding time interval with the preset observation time value, and combining the environmental status identification data set, the current environmental development trend of coix seed rice can be analyzed and predicted, which is helpful to take protective measures in advance; and by analyzing the quality detection data of the last two times, the change trend of the quality of coix seed rice can be tracked to ensure the continuous stability of the storage quality; when the storage environment is detected to have potential abnormalities, an early warning is issued by comprehensively analyzing the environmental development trend and the quality development trend, wherein the analysis and calculation of the environmental development trend and the quality development trend are relative, and do not affect the early warning when the storage environment is found to have potential abnormalities, which is simple and easy to understand, easy to implement and apply; and the combination of the two development trends can balance the environmental and quality factors, avoid false alarms caused by extreme changes in a single factor, so that the triggering of the early warning is more scientific and accurate; the method of the present invention can take measures in time to avoid further deterioration of the quality of coix seed rice, and the automated environment and quality monitoring, as well as the intelligent abnormal early warning, can greatly improve the efficiency of the coix seed rice storage environment and reduce the workload and error rate of manual monitoring;

[0092] like Figure 2 As shown, a barley rice storage environment abnormality monitoring optimization system is based on the implementation of a barley rice storage environment abnormality monitoring optimization method. The system includes: an abnormality preprocessing module, an environmental development trend analysis module, a quality development trend analysis module and an environmental abnormality early warning analysis module;

[0093] The abnormal preprocessing module is used to obtain the real-time environmental detection data of the coix seed rice in the target area, and obtain the corresponding environmental state identification data set according to the real-time environmental detection data analysis; at the same time, the equipment state recording data of each environmental adjustment device is obtained according to the detection time point of the real-time environmental detection data, and the equipment abnormality degree of the coix seed rice in the target area is obtained according to the equipment state recording data analysis; combined with the corresponding environmental state identification data set and the equipment abnormality degree of the coix seed rice in the target area, it is analyzed and judged whether there is a potential abnormality in the storage environment of the coix seed rice in the target area at present;

[0094] The environmental development trend analysis module is used to compare the time value of the time interval from the most recent quality detection time point of coix seed rice in the target area to the current environmental detection time point with the preset observation time value, and analyze and obtain the current environmental development trend of coix seed rice in the target area in combination with the environmental status identification data set;

[0095] The quality development trend analysis module is used to obtain the latest two quality inspection data of coix seed rice in the target area, and obtain the current quality development trend of coix seed rice in the target area according to the latest two quality inspection data of coix seed rice in the target area;

[0096] The environmental anomaly warning analysis module is used to analyze the current environmental development trend and quality development trend of the coix seed rice in the target area when there is potential anomaly in the storage environment of the coix seed rice in the target area, and to issue an early warning of the storage environment anomaly of the coix seed rice in the target area.

[0097] The present invention solves the problem of frequent abnormal warnings of the coix seed rice storage environment caused by a single detection and analysis method, and proposes a simpler and more accurate abnormal monitoring optimization method. By comprehensively analyzing the dual development trends of the environment and quality, the present invention can more effectively monitor and warn of potential abnormalities in the storage environment, avoid unnecessary frequent warnings, and ensure the stability and safety of the coix seed rice storage environment; at the same time, this method simplifies the monitoring process, improves the accuracy and efficiency of monitoring, and optimizes the management of the coix seed rice storage environment.

[0098] The above formulas are all calculated by removing dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation after detecting a large amount of data. The preset parameters and preset thresholds in the formula are set by technicians in this field according to actual conditions or obtained by simulating a large amount of data.

[0099] In the embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation; the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of this embodiment.

[0100] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for optimizing abnormal monitoring of coix seed rice storage environment, characterized in that: include: Step S1: obtaining real-time environmental detection data of coix seed rice in the target area, and obtaining a corresponding environmental status identification data set according to the real-time environmental detection data analysis; At the same time, the equipment status record data of each environmental adjustment device is obtained according to the detection time point of the real-time environmental detection data, and the equipment abnormality degree of the coix seed rice in the target area is obtained according to the equipment status record data analysis; combined with the corresponding environmental status identification data set and the equipment abnormality degree of the coix seed rice in the target area, it is analyzed and judged whether there is a potential abnormality in the storage environment of the coix seed rice in the target area at present; Step S2: comparing the time value of the time interval from the most recent quality detection time point of coix seed rice in the target area to the current environmental detection time point with the preset observation time value, and analyzing and obtaining the current environmental development trend of coix seed rice in the target area in combination with the environmental status identification data set; Step S3: obtaining the latest two quality inspection data of coix seed rice in the target area, and obtaining the current quality development trend of coix seed rice in the target area according to the latest two quality inspection data of coix seed rice in the target area; Step S4: when there is a potential abnormality in the storage environment of the coix seed rice in the target area, the current environmental development trend and quality development trend of the coix seed rice in the target area are comprehensively analyzed, and an early warning is issued for the abnormal storage environment of the coix seed rice in the target area; The environmental state identification data set includes information on the state of each environmental parameter within a corresponding environmental detection time interval, and the corresponding environmental detection time interval refers to the time interval between the corresponding environmental detection time point and the previous environmental detection time point; the environmental parameter state refers to whether the environmental parameter value is normal or abnormal; if any environmental parameter included in the environmental state identification data set obtained by the coix seed rice in the target area in real time is in an abnormal state, the environmental state identification data set is marked with an abnormal label; if all environmental parameters included in the environmental state identification data set obtained by the coix seed rice in the target area in real time are in a normal state, the environmental state identification data set is marked with a normal label; The method of obtaining the abnormality degree of the coix seed rice equipment in the target area according to the equipment status record data analysis includes: The equipment status record data of each environmental conditioning device is traversed and counted to obtain the equipment fault alarm times, power consumption, opening times, and closing times of each environmental conditioning device within the current environmental detection time interval, which are marked as , , as well as ; i = 1, 2…n; n represents the number of environmental conditioning devices for coix seed rice in the target area; The device abnormality value of the current environment detection time interval is obtained by calculation. The calculation formula is: ; In the formula, ER represents the abnormality level of the equipment, and TC represents the current environment detection time interval; A device abnormality level threshold is preset, and the calculated device abnormality level value is compared with the preset device abnormality level threshold; if the calculated device abnormality level value is less than the preset device abnormality level threshold, a signal indicating that the device abnormality level of coix seed rice in the target area is small is generated; if the calculated device abnormality level value is greater than or equal to the preset device abnormality level threshold, a signal indicating that the device abnormality level of coix seed rice in the target area is large is generated; The method combines the corresponding environmental status identification data set and the degree of equipment abnormality of the coix seed rice in the target area to analyze and determine whether there is a potential abnormality in the storage environment of the coix seed rice in the target area at present, including: when the environmental status identification data set corresponding to the real-time environmental detection data of the coix seed rice in the target area is marked as abnormal, or a signal is generated that the degree of equipment abnormality of the coix seed rice in the target area is large, then a signal is generated that there is a potential abnormality in the storage environment of the coix seed rice in the target area; when the environmental status identification data set corresponding to the real-time environmental detection data of the coix seed rice in the target area is marked as normal, and a signal is generated that the degree of equipment abnormality of the coix seed rice in the target area is small, then a signal is generated that the storage environment of the coix seed rice in the target area is normal; The analysis method of step S2 specifically includes: Mark the time interval between the most recent quality detection time point of coix seed rice in the target area and the current real-time environment detection time point as the first time interval; Preset observation time value, compare the time value of the first time interval with the preset observation time value; if the time value of the first time interval is greater than or equal to the preset observation time value, then combine all environmental state identification data sets in the first time interval to calculate and obtain the current environmental development trend value of coix seed rice in the target area; if the time value of the first time interval is less than the preset observation time value, then combine all environmental state identification data sets in the second time interval to calculate and obtain the current environmental development trend value of coix seed rice in the target area; wherein the second time interval refers to the time interval between the quality detection time point adjacent to the most recent quality detection time point in the target area and the current environmental detection time point; Marking the first time interval or the second time interval to be studied as a target time interval; Calculate and obtain the environmental anomaly rate in each environmental detection time interval within the target time interval, and statistically obtain the time value of each environmental detection time interval within the target time interval; If the time values ​​of each environment detection time interval within the target time interval are the same, then according to the calculation formula , calculate and obtain the current environmental development trend value FZ of coix seed rice in the target area; where r represents the number of each environmental detection time interval in the target time interval, r=2,3…R; R represents the total number of environmental detection time intervals in the target time interval; It represents the environmental anomaly rate of the environmental detection time interval numbered r; represents the environmental abnormality rate of the environmental detection time interval numbered r-1; T represents the time value of each environmental detection time interval; If the time values ​​of each environmental detection time interval within the target time interval are not exactly the same, then the environmental detection time intervals with the same time values ​​and continuous in time are divided into one group according to the time sequence, and the calculation formula is used to calculate the time intervals. , calculate and obtain the current environmental development trend value FZ of coix seed rice in the target area; where d represents the group number of the environmental detection time interval group, d=1,2…D; D represents the total number of environmental detection time interval groups in the target time interval; f represents the number of each environmental detection time interval in the corresponding environmental detection time interval group, and f=2,3…F; F represents the total number of environmental detection time intervals contained in the corresponding environmental detection time interval group; It indicates the environmental abnormality rate of the environmental detection time interval with group number d and the environmental detection time interval with group number f; It represents the environmental anomaly rate of the environmental detection time interval with group number d and the environmental detection time interval with group number f-1; Indicates the time value of each environment detection time interval contained in the environment detection time interval group with group number d; The calculation method of the environmental anomaly rate in each environmental detection time interval is as follows: obtain the environmental state identification data set in the corresponding environmental detection time interval, traverse the environmental state identification data set in the corresponding environmental detection time interval, count the total number of environmental parameters in the environmental state identification data set and the number of environmental parameters marked as abnormal; mark the ratio of the number of environmental parameters marked as abnormal in the environmental state identification data set to the total number of environmental parameters as the environmental anomaly rate in the corresponding environmental detection time interval; In step S3, the quality inspection data refers to the comprehensive quality inspection score; The method of obtaining the current quality development trend of coix seed rice in the target area based on the latest two quality inspection data of coix seed rice in the target area includes: The most recent comprehensive score of the quality inspection of coix seed rice in the target area is marked as C1, and the comprehensive score of the quality inspection time point adjacent to the most recent quality inspection time point is marked as C2; According to the calculation formula , calculate and obtain the current quality development trend value QZ of coix seed rice in the target area; where C0 represents the qualified value of the comprehensive score of the quality inspection of coix seed rice in the target area; If QZ is greater than 0, it means that the quality of Job's tears rice in the current target area has improved; if QZ is less than 0, it means that the quality of Job's tears rice in the current target area has deteriorated; if QZ is equal to 0, it means that the quality of Job's tears rice in the current target area remains unchanged; The analysis method of step S4 specifically includes: Obtain the current environmental development trend value FZ and quality development trend value QZ of coix seed rice in the target area, assign preset proportional coefficients respectively, and calculate the current storage environment warning coefficient YR of coix seed rice in the target area. The calculation formula is: ; In the formula, ɑ and β represent the preset proportional coefficients of the current quality development trend value and environmental development trend value of coix seed rice in the target area respectively; and the values ​​of ɑ and β are both greater than 0; Preset a storage environment warning coefficient threshold, and compare the calculated storage environment warning coefficient with the preset storage environment warning coefficient threshold; If the calculated storage environment warning coefficient is greater than or equal to the preset storage environment warning coefficient threshold, a normal signal of the coix seed rice storage environment in the target area is generated; no processing is required at this time; If the calculated storage environment warning coefficient is less than the preset storage environment warning coefficient threshold, an abnormal warning signal for the coix seed rice storage environment in the target area is generated; further processing is required.

2. A system for monitoring and optimizing the abnormal storage environment of coix seed rice, based on the implementation of the method for monitoring and optimizing the abnormal storage environment of coix seed rice according to claim 1, characterized in that: The system includes: Abnormal preprocessing module, environmental development trend analysis module, quality development trend analysis module and environmental abnormality early warning analysis module; The abnormal preprocessing module is used to obtain the real-time environmental detection data of the coix seed rice in the target area, and obtain the corresponding environmental state identification data set according to the real-time environmental detection data analysis; at the same time, the equipment state recording data of each environmental adjustment device is obtained according to the detection time point of the real-time environmental detection data, and the equipment abnormality degree of the coix seed rice in the target area is obtained according to the equipment state recording data analysis; combined with the corresponding environmental state identification data set and the equipment abnormality degree of the coix seed rice in the target area, it is analyzed and judged whether there is a potential abnormality in the storage environment of the coix seed rice in the target area at present; The environmental development trend analysis module is used to compare the time value of the time interval from the most recent quality detection time point of coix seed rice in the target area to the current environmental detection time point with the preset observation time value, and analyze and obtain the current environmental development trend of coix seed rice in the target area in combination with the environmental status identification data set; The quality development trend analysis module is used to obtain the latest two quality inspection data of coix seed rice in the target area, and obtain the current quality development trend of coix seed rice in the target area according to the latest two quality inspection data of coix seed rice in the target area; The environmental anomaly warning analysis module is used to analyze the current environmental development trend and quality development trend of the coix seed rice in the target area when there is potential anomaly in the storage environment of the coix seed rice in the target area, and to issue an early warning of the storage environment anomaly of the coix seed rice in the target area.

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