CN115152528A - Growth progress monitoring system and method for growth of edible fungus bags - Google Patents
Growth progress monitoring system and method for growth of edible fungus bags Download PDFInfo
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Abstract
The invention discloses a growth progress monitoring system and method for edible fungus bag growth, and belongs to the technical field of edible fungus growth progress monitoring. The system comprises a data acquisition module, a data processing module, a data storage module, a data display module and an operation guidance module; the output end of the data acquisition module is connected with the input ends of the data storage module and the data processing module; the output end of the data processing module is connected with the input ends of the data storage module and the operation guidance module; the output end of the data storage module is connected with the input ends of the data processing module and the data display module; the output end of the operation guidance module is connected with the input end of the data display module; the invention also provides a method for implementing the system; the invention can effectively improve the investment of manpower and material resources, and achieve the purposes of increasing the yield, improving the quality, predicting the growth cycle and improving the economic benefit.
Description
Technical Field
The invention relates to the technical field of monitoring of growth progress of edible fungi, in particular to a system and a method for monitoring growth progress of growth of an edible fungus bag.
Background
With the gradual diversified development trend of the consumer market and the structure in China, the demand of the edible fungi in the market is obviously increased. The culture of fungus bags (fungus sticks) is a common method for culturing modern edible fungi. The edible fungi are produced from fungus bags; the traditional fungus bag is prepared by inoculating a strain into a bagged culture medium plant material (such as cottonseed hulls) and then performing greenhouse culture and temperature control culture; when producing edible fungi, the edible fungi can grow out as long as specific temperature, carbon dioxide and water in the fungus bag are maintained.
With the rapid development of the internet of things industry, the internet of things technology has penetrated into every industry field, and particularly in the field of greenhouse planting in agricultural production, various environmental data are monitored through the internet of things technology. However, in the field of edible fungi cultivation, artificial experience is still mainly relied on at present. In the process of culturing edible fungi, due to the influence of environmental factors, judgment errors can occur in the culturing process, particularly, the problem that the timely and effective harvesting opportunity is difficult to grasp often exists in the whole life cycle of the edible fungi, and particularly, when the edible fungi are cultured in a large scale, the process is a very complicated process and the cost of a large amount of manpower and material resources is required to be invested; although the internet of things technology can be used for monitoring various environmental data and improving the success rate of edible mushroom cultivation, the method is a single monitoring step and cannot judge the relationship between various environmental factors and the growth condition and the growth cycle. How to carry out production and management intelligently, scientifically and massively, realize yield increase, improve quality, predict growth cycle and improve economic benefit becomes an urgent problem to be solved by the people who put into operation in the edible fungus industry.
Disclosure of Invention
The invention aims to provide a system and a method for monitoring the growth progress of edible fungus bags, which aim to solve the problems in the background art.
In order to solve the technical problems, the invention provides the following technical scheme:
the utility model provides a growth progress monitoring system that domestic fungus package grows which characterized in that: the system comprises a data acquisition module, a data storage module, a data processing module, a data display module and an operation guidance module;
the data acquisition module is used for simultaneously acquiring environmental information data and historical growth condition information data in the growth process of the edible fungus bag; the data storage module is used for recording and storing environmental information data and historical growth condition information data in the growth process of the edible fungus bag; the data processing module is used for processing environmental information data and historical growth condition information data in the growth process of the edible fungus bag, and analyzing and judging whether the growth condition is abnormal or not; the data display module converts the real-time environmental information data and the predicted growth condition information data and displays the real-time environmental information data and the predicted growth condition information data in a chart form; the operation guidance module is used for reminding an operator to timely process abnormal conditions and predict the growth cycle of the edible fungi;
the output end of the data acquisition module is connected with the input ends of the data storage module and the data processing module; the output end of the data processing module is connected with the input ends of the data storage module and the operation guidance module; the output end of the data storage module is connected with the input ends of the data processing module and the data display module; the output end of the operation guidance module is connected with the input end of the data display module;
the data acquisition module also comprises an environmental data acquisition unit and a growth condition data acquisition unit;
the environment data acquisition unit is used for acquiring environment information data of temperature, carbon dioxide, moisture, illumination and PH value in the growth process of the edible fungus bag, wherein the environment information data comprises environment information data which does not generate abnormal growth of the edible fungus bag in a historical period and currently acquired environment information data, and the currently acquired environment information data is stored as a historical data record after the growth period which does not generate abnormal growth of the edible fungus bag is finished; the environment data acquisition unit also comprises a carbon dioxide sensor, a temperature sensor, a moisture sensor, an illumination sensor and a PH value sensor; the output ends of the carbon dioxide sensor, the temperature sensor, the moisture sensor, the illumination sensor and the PH value sensor are respectively connected with the input end of the environment data acquisition unit;
the growth condition data acquisition unit is used for acquiring historical growth condition data information of the edible fungus bag; the growth condition data acquisition unit also comprises an image sensor; the output end of the image sensor is connected with the input end of the growth condition data acquisition unit;
the system comprises a carbon dioxide sensor, a temperature sensor, an illumination sensor, a pH value sensor and an image sensor, wherein the carbon dioxide sensor is used for monitoring carbon dioxide in the growth environment of an edible fungus bag in real time, the temperature sensor is used for monitoring the temperature in the growth environment of the edible fungus bag in real time, the moisture sensor is used for monitoring moisture in the growth environment of the edible fungus bag in real time, the illumination sensor is used for monitoring the illumination intensity in the growth environment of the edible fungus bag in real time, the pH value sensor is used for monitoring the pH value in the growth environment of the edible fungus bag in real time, and the image sensor is used for acquiring the position information of the edible fungus bag;
the operation guidance module further comprises an exception handling indication unit and a growth cycle prediction unit; the abnormal processing indicating unit is used for indicating operation according to the environmental information data processed in the data processing module when the edible fungi grow abnormally; the growth cycle prediction unit is used for predicting the growth cycle of the edible fungi;
the data storage module also comprises a data calling unit, a data storage unit and a database unit; the output end of the data calling unit is connected with the input end of the data storage unit, and the output end of the data storage unit is connected with the input end of the database unit;
the data calling unit is used for acquiring environmental information data, historical growth condition information data, environmental information data and dates corresponding to the historical growth condition information data; the data storage unit is used for storing environmental information data and historical growth condition information data which correspond to each other in date; the database unit is used for storing environmental information data, historical growth condition information data and growth cycle data which are on dates corresponding to each other and are not subjected to abnormal growth of the edible fungus bags in historical cycles;
the data processing module also comprises a growth period matching unit and a growth progress analysis unit; the output end of the growth period matching unit is connected with the input end of the growth progress analysis unit;
the growth period matching unit is used for acquiring environmental information data and historical growth condition information data of the data base unit on the dates corresponding to each other, performing maximum similarity matching processing on the environmental information data acquired in real time and the environmental information data in the data base unit, and recording the acquired environmental information data processed by the maximum similarity matching as similar environmental information data;
the growth progress analysis unit is used for acquiring similar environment information data acquired in the growth period matching unit, sequencing historical growth condition information data of dates corresponding to the similar environment information data from small to large, extracting a maximum value and a minimum value from sequencing processing results, and marking the maximum value as k 2 The minimum value is k 1 Thus obtaining a threshold range, said threshold range being denoted as [ k ] 1 ,k 2 ]The threshold value range is used as a basis for judging whether the edible fungus bag abnormally grows, when the predicted real-time growth condition information data of the edible fungus bag belongs to the threshold value range, the edible fungus bag normally grows, and otherwise, the edible fungus bag abnormally grows;
the growth progress analysis unit is further configured to acquire growth cycle data corresponding to the similar environment information data acquired in the growth period matching unit, average the acquired growth cycle data, and record the averaged growth cycle data as predicted growth cycle data of the current edible fungus package.
A method for monitoring the growth progress of edible fungus bag growth is characterized by comprising the following steps:
s1, collecting environmental information data of edible fungus bag growth in real time;
s2, acquiring environmental information data, historical growth condition information data and growth cycle data in the whole process from inoculation to harvesting in a historical period of the edible fungus bag, wherein the historical period is a growth period in which abnormal growth of the edible fungus bag does not occur, the environmental information data is used as a basis for prompting an operator to process when the edible fungus bag abnormally grows, the historical growth condition information data is used as a basis for judging whether the edible fungus bag abnormally grows, and the growth cycle data is used as growth cycle data for predicting normal growth of current edible fungi;
s3, comparing and analyzing the real-time collected edible fungus bag growth environment information data and the predicted edible fungus bag growth condition information data with the environment information data and the historical growth condition information data which do not have abnormal growth of the edible fungus bags in the historical period, and further judging whether the edible fungus bags grow abnormally or not;
s4, reminding an operator to process in time after the edible fungus bag grows abnormally, and prompting the operator according to environmental information data which does not grow abnormally in the historical period;
s5, according to environmental information data, historical growth condition information data and growth cycle data of the edible fungus packages which do not have abnormal growth in the historical cycle, combining the real-time collected environmental information data of the edible fungus packages, and further predicting the growth cycle of the edible fungus in real time after analysis;
in the step S1, collecting environmental information data of carbon dioxide, temperature, moisture, illumination and PH value and historical growth condition information data of edible fungus bag growth in real time, and recording carbon dioxide monitoring data as h, temperature monitoring data as t, moisture monitoring data as m, illumination intensity monitoring data as S and PH value monitoring data as p;
in the step S2, the environment information data of the edible fungus bag growth collected in real time and the acquired environment information data of the edible fungus bag which does not have abnormal growth in the historical period are subjected to maximum similarity matching processing, a threshold value Q is set, and when the threshold value Q is exceeded, the edible fungus bag can grow normally; recording the obtained environment information data processed by the maximum similarity matching pair as similar environment information data according to the condition that all the environment information data are greater than Q;
in step S3, the historical growth condition information data of the date corresponding to the similar environment information data acquired in step S2 is sorted from small to large, the maximum value and the minimum value are extracted from the sorting result, and the maximum value is recorded as k 2 The minimum value is k 1 Thus obtaining a threshold range, said threshold range being denoted as [ k ] 1 ,k 2 ]Judging whether the growth of the edible fungus bag is abnormal or not according to the threshold range, wherein the edible fungus bag is normally grown when the predicted growth condition information data of the edible fungus bag belongs to the threshold range, and the edible fungus bag is abnormally grown if the predicted growth condition information data of the edible fungus bag belongs to the threshold range;
in step S4, according to the fact that when the edible fungus bag grows abnormally in step S3, the operator is further prompted to perform processing operation based on the maximum value in step S3 to obtain the environmental information data of the date corresponding to the maximum value;
in step S5, repeating the steps from S1 to S4 according to the change of the data monitored every day to monitor the growth cycle which changes at any time in the growth process of the edible fungus bag;
further, in step S2, the manner of acquiring similar environment information data is as follows:
s2-1, obtaining a group of edible fungus bag growth information data monitored in real time as h, t, m, S and p, according to a formula:
h×Q≤H≤h/Q，t×Q≤T≤t/Q，m×Q≤M≤m/Q，
s×Q≤S≤s/Q，p×Q≤P≤p/Q，
h is carbon dioxide similar environment information data, T is temperature similar environment information data, M is moisture similar environment information data, S is illumination intensity similar environment information data, and P is PH value similar environment information data;
s2-2, obtaining environmental information data of H, T, M, S and P which meet the conditions and do not generate a growth cycle of abnormal growth of the edible fungus bag, and recording the environmental information data as similar environmental information data;
further, in step S3, the step of determining whether the growth of the edible fungus bag is abnormal according to the threshold range includes:
s3-1, acquiring historical growth condition information data of the date corresponding to the similar environmental information data in the step S2, and recording the historical growth condition information data as V 1 、V 2 、V 3 、V 4 、……、V i Wherein i represents the number of the obtained historical growth condition information data, and according to a formula:
k 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，
the threshold range is noted as k 1 ,k 2 ]，
Wherein k is 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i Represents in the set { V } 1 ，V 2 ，V 3 ，V 4 ，……，V i Get the minimum value, k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i Represents in the set { V } 1 ，V 2 ，V 3 ，V 4 ，……，V i Taking the maximum value in the row;
the growth condition information data is determined by voltage data, because in the daily technology, the growth condition information data of the edible fungus bag is collected, a remote sensing image collection technology is utilized to collect and convert collected optical images into image signals which can be output, the image signals are compressed and overlapped from numerous fixed-position pixel points to a one-dimensional space through a three-dimensional space, voltage values with different frequency signals are formed through photoelectric conversion, the voltage values represent the growth condition information data of the edible fungus bag, and in the actual implementation process, if the voltage values are collected in real time, a large amount of software and hardware support is needed, manpower and material resources are consumed, so that the growth condition information data is predicted by combining the environmental information data and the historical growth condition information data which do not generate abnormal growth of the edible fungus in the historical period, and by Matlab simulation software, a linear regression model of the environmental information data and the growth condition information data is obtained, and the real-time monitored environmental information data is further used for predicting the growth condition information data;
s3-2, acquiring historical growth condition information data of dates corresponding to the similar environment information data according to the similar environment information data in the step S2, and obtaining a linear regression model of the environmental information data of carbon dioxide, temperature, moisture, illumination and PH value of the edible fungus package growth and the historical growth condition information data of the edible fungus package growth by utilizing Matlab simulation software, wherein the linear regression model comprises the following steps:
V＝x×h+y×t+c×m+f×s+g×p+L，
v is information data of the growth condition of the edible fungus bag predicted according to the linear regression model, and x, y, c, f, g and L are coefficient parameters of the linear regression model respectively;
s3-3, judging whether the V belongs to the threshold range, if so, indicating that the edible fungus bag grows normally, otherwise, indicating that the edible fungus bag grows abnormally;
further, in step S5, the step of monitoring the growth cycle of the edible fungus bag, which changes at any time during the growth process, is as follows:
s5-1, acquiring growth cycle data of a date corresponding to the similar environment information data according to the similar environment information data in the step S2, and recording the growth cycle data as d 1 、d 2 、d 3 、d 4 、……、d j Wherein j represents the number of growth cycle data obtained;
s5-2, according to the formula:
where D represents an average value of growth cycle data of dates corresponding to similar environment information data,
the average value is used for predicting the growth period of the normal growth of the edible fungi;
and S5-3, sending the predicted growth period and position information of the normal growth of the edible fungi to an operator.
Compared with the prior art, the invention has the following beneficial effects: the method and the device realize real-time monitoring of the growth condition of the edible fungus bag, perform careful matching analysis by utilizing the environmental information data of normal growth of the edible fungus bag in the historical period and the historical growth condition information data, can increase the accuracy of the data, avoid the situation of data mismatching caused by various special reasons, and simultaneously further analyze the abnormal type according to the characteristics of the edible fungus bag after analyzing the abnormal condition so as to prompt an operator to process, thereby effectively realizing monitoring of the growth condition and prediction of the growth period of the edible fungus bag and effectively prompting the operation on the abnormality.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a module structure of a growth progress monitoring system for the growth of a fungus bag of edible fungi according to the invention;
FIG. 2 is a schematic diagram of the module connection of a system for monitoring the growth progress of the growth of a bag of edible fungi according to the present invention;
FIG. 3 is a schematic diagram illustrating the steps of a method for monitoring the growth progress of the growth of a fungus bag of edible fungi according to the present invention;
FIG. 4 is a schematic view of a working flow of a method for monitoring the growth progress of the growth of a fungus bag of edible fungi according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution:
the utility model provides a growth progress monitoring system that domestic fungus package grows which characterized in that: the system comprises a data acquisition module, a data storage module, a data processing module, a data display module and an operation guidance module;
the data acquisition module is used for simultaneously acquiring environmental information data and historical growth condition information data in the growth process of the edible fungus bag; the data storage module is used for recording and storing environmental information data and historical growth condition information data in the growth process of the edible fungus bag; the data processing module is used for processing environmental information data and historical growth condition information data in the growth process of the edible fungus bag, and analyzing and judging whether the growth condition is abnormal or not; the data display module converts the real-time environmental information data and the predicted growth condition information data and displays the data in a chart form; the operation guidance module is used for reminding an operator to timely process abnormal conditions and predict the growth cycle of the edible fungi;
the output end of the data acquisition module is connected with the input ends of the data storage module and the data processing module; the output end of the data processing module is connected with the input ends of the data storage module and the operation guidance module; the output end of the data storage module is connected with the input ends of the data processing module and the data display module; the output end of the operation guidance module is connected with the input end of the data display module;
the data acquisition module also comprises an environmental data acquisition unit and a growth condition data acquisition unit;
the environment data acquisition unit is used for acquiring environment information data of temperature, carbon dioxide, moisture, illumination and PH value in the growth process of the edible fungus bag, wherein the environment information data comprises environment information data which does not generate abnormal growth of the edible fungus bag in a historical period and currently acquired environment information data, and the currently acquired environment information data is stored as a historical data record after the growth period which does not generate abnormal growth of the edible fungus bag is finished; the environment data acquisition unit also comprises a carbon dioxide sensor, a temperature sensor, a moisture sensor, an illumination sensor and a PH value sensor; the output ends of the carbon dioxide sensor, the temperature sensor, the moisture sensor, the illumination sensor and the PH value sensor are respectively connected with the input end of the environment data acquisition unit;
the growth condition data acquisition unit is used for acquiring historical growth condition data information of the edible fungus bag; the growth condition data acquisition unit also comprises an image sensor; the output end of the image sensor is connected with the input end of the growth condition data acquisition unit;
the system comprises a carbon dioxide sensor, a temperature sensor, an illumination sensor, a PH value sensor and an image sensor, wherein the carbon dioxide sensor is used for monitoring carbon dioxide in the growing environment of an edible fungus bag in real time, the temperature sensor is used for monitoring the temperature in the growing environment of the edible fungus bag in real time, the moisture sensor is used for monitoring moisture in the growing environment of the edible fungus bag in real time, the illumination sensor is used for monitoring the illumination intensity in the growing environment of the edible fungus bag in real time, the PH value sensor is used for monitoring the PH value in the growing environment of the edible fungus bag in real time, and the image sensor is used for acquiring the position information of the edible fungus bag;
the operation guidance module further comprises an exception handling indication unit and a growth cycle prediction unit; the abnormal processing indicating unit is used for indicating operation according to the environmental information data processed in the data processing module when the edible fungi grow abnormally; the growth cycle prediction unit is used for predicting the growth cycle of the edible fungi;
the data storage module also comprises a data calling unit, a data storage unit and a database unit; the output end of the data calling unit is connected with the input end of the data storage unit, and the output end of the data storage unit is connected with the input end of the database unit;
the data calling unit is used for acquiring environmental information data, historical growth condition information data, environmental information data and dates corresponding to the historical growth condition information data; the data storage unit is used for storing environmental information data and historical growth condition information data which correspond to each other in date; the database unit is used for storing environmental information data, historical growth condition information data and growth cycle data which do not have abnormal growth of the edible fungus bags and correspond to each other in the historical cycle;
the data processing module also comprises a growth period matching unit and a growth progress analysis unit; the output end of the growth period matching unit is connected with the input end of the growth progress analysis unit;
the growth period matching unit is used for acquiring environmental information data and historical growth condition information data of the data base unit on the dates corresponding to each other, performing maximum similarity matching processing on the environmental information data acquired in real time and the environmental information data in the data base unit, and recording the acquired environmental information data processed by the maximum similarity matching as similar environmental information data;
the growth progress analysis unit is used for acquiring the similar environment information data acquired by the growth period matching unit, sorting the historical growth condition information data of the dates corresponding to the similar environment information data from small to large, extracting the maximum value and the minimum value from the sorting processing result, and recording the maximum value as k 2 The minimum value is k 1 So as to obtain a threshold range, said threshold range being denoted as [ k ] 1 ,k 2 ]The threshold range is used as a basis for judging whether the edible fungus bag abnormally grows, when the predicted real-time growth condition information data of the edible fungus bag belongs to the threshold range, the edible fungus bag normally grows, and otherwise, the edible fungus bag abnormally grows;
the growth progress analysis unit is further configured to acquire growth cycle data corresponding to the similar environment information data acquired in the growth period matching unit, average the acquired growth cycle data, and record the averaged growth cycle data as predicted growth cycle data of the current edible fungus package.
A method for monitoring the growth progress of edible fungus bag growth is characterized by comprising the following steps:
s1, collecting environmental information data of edible fungus bag growth in real time;
s2, acquiring environmental information data, historical growth condition information data and growth cycle data in the whole process from the beginning of inoculation to the harvesting in a historical period of the edible fungus bag, wherein the historical period is a growth period in which abnormal growth of the edible fungus bag does not occur, the environmental information data is used as a basis for prompting an operator to process when the edible fungus bag abnormally grows, the historical growth condition information data is used as a basis for judging whether the edible fungus bag abnormally grows, and the growth cycle data is used as growth cycle data for predicting the normal growth of the current edible fungus;
s3, comparing and analyzing the real-time collected edible fungus bag growth environment information data and the predicted edible fungus bag growth condition information data with the environment information data and the historical growth condition information data which do not have abnormal growth of the edible fungus bags in the historical period, and further judging whether the edible fungus bags grow abnormally or not;
s4, reminding an operator to process in time after the edible fungus bag grows abnormally, and prompting the operator according to environmental information data which does not grow abnormally in the historical period;
s5, according to the environmental information data, the historical growth condition information data and the growth cycle data which do not cause abnormal growth of the edible fungus bags in the historical cycle, combining the real-time collected environmental information data of the edible fungus bag growth, and further predicting the growth cycle of the edible fungus in real time after analysis;
in the step S1, collecting environmental information data of carbon dioxide, temperature, moisture, illumination and PH value and historical growth condition information data of edible fungus bag growth in real time, and recording carbon dioxide monitoring data as h, temperature monitoring data as t, moisture monitoring data as m, illumination intensity monitoring data as S and PH value monitoring data as p;
in the step S2, the environmental information data of the edible fungus bag growth collected in real time and the acquired environmental information data in the historical period, in which the edible fungus bag abnormal growth does not occur, are subjected to maximum similarity matching treatment, a threshold value Q is set, and when the threshold value Q is exceeded, the edible fungus bag can normally grow; recording the obtained environment information data processed by the maximum similarity matching pair as similar environment information data according to the condition that all the environment information data are greater than Q;
in step S3, the historical growth condition information data of the date corresponding to the similar environment information data acquired in step S2 is sorted from small to large, the maximum value and the minimum value are extracted from the sorting result, and the maximum value is recorded as k 2 Minimum value is denoted as k 1 Thus obtaining a threshold range, said threshold range being denoted as [ k ] 1 ,k 2 ]Judging whether the growth of the edible fungus bag is abnormal or not according to the threshold range, indicating that the growth of the edible fungus bag is normal when the predicted growth condition information data of the edible fungus bag belongs to the threshold range, and indicating that the growth of the edible fungus bag is abnormal if not;
in step S4, according to the fact that when the edible fungus bag grows abnormally in step S3, the operator is further prompted to perform processing operation based on the maximum value in step S3 to obtain the environmental information data of the date corresponding to the maximum value;
in the step S5, repeating the steps from S1 to S4 according to the change of the data monitored every day to monitor the growth period which changes at any time in the growth process of the edible fungus bag;
further, in step S2, the manner of acquiring the similar environment information data is as follows:
s2-1, obtaining a group of edible fungus bag growth information data monitored in real time as h, t, m, S and p, according to a formula:
h×Q≤H≤h/Q，t×Q≤T≤t/Q，m×Q≤M≤m/Q，
s×Q≤S≤s/Q，p×Q≤P≤p/Q，
h is carbon dioxide similar environment information data, T is temperature similar environment information data, M is moisture similar environment information data, S is illumination intensity similar environment information data, and P is PH value similar environment information data;
s2-2, obtaining environmental information data of H, T, M, S and P which meet the conditions and do not generate a growth cycle of abnormal growth of the edible fungus bag, and recording the environmental information data as similar environmental information data;
further, in step S3, the step of determining whether the growth of the edible fungus bag is abnormal according to the threshold range includes:
s3-1, acquiring historical growth condition information data of the date corresponding to the similar environmental information data in the step S2, and recording the historical growth condition information data as V 1 、V 2 、V 3 、V 4 、……、V i Wherein i represents the number of the obtained historical growth condition information data, and according to a formula:
k 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，
the threshold range is noted as k 1 ,k 2 ]，
Wherein k is 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i Represents in the set { V } 1 ，V 2 ，V 3 ，V 4 ，……，V i Get the minimum value of, k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i Represents in the set V 1 ，V 2 ，V 3 ，V 4 ，……，V i Taking the maximum value;
s3-2, acquiring historical growth condition information data of the date corresponding to the similar environment information data according to the similar environment information data in the step S2, and acquiring a linear regression model of the environmental information data of carbon dioxide, temperature, moisture, illumination and PH value of the edible fungus bag growth and the historical growth condition information data of the edible fungus bag growth by utilizing Matlab simulation software, wherein the linear regression model comprises the following steps:
V＝x×h+y×t+c×m+f×s+g×p+L，
v is information data of the growth condition of the edible fungus bag predicted according to the linear regression model, and x, y, c, f, g and L are coefficient parameters of the linear regression model respectively;
s3-3, judging whether the V belongs to the threshold range, if so, indicating that the edible fungus bag grows normally, otherwise, indicating that the edible fungus bag grows abnormally;
further, in step S5, the step of monitoring the growth cycle of the edible fungus bag, which changes at any time during the growth process, is as follows:
s5-1, acquiring growth cycle data of a date corresponding to the similar environment information data according to the similar environment information data in the step S2, and recording the growth cycle data as d 1 、d 2 、d 3 、d 4 、……、d j Wherein j represents the number of growth cycle data obtained;
s5-2, according to the formula:
where D represents an average value of growth cycle data of dates corresponding to similar environment information data,
the average value is used for predicting the growth period of the normal growth of the edible fungi;
and S5-3, sending the predicted growth period and position information of the normal growth of the edible fungi to an operator.
In this embodiment:
collecting environmental information data and fungus bag growth condition information data of edible fungus bag growth, recording carbon dioxide monitoring data as h, temperature monitoring data as t, moisture monitoring data as m, illumination intensity monitoring data as s, PH value monitoring data as p, and corresponding date as 6 month and 1 day,
h =1008.2, unit ppm, t =22.5, unit ℃, m =75.1%, s =9.8, unit Lux, p =8.5;
in the present embodiment, Q =90%;
performing maximum similarity matching processing on the acquired environmental information data which does not have abnormal growth of the edible fungus bag in the historical period, wherein the maximum similarity matching processing is larger than 90% according to all the environmental information data, so that a series of similar environmental information data and edible fungus bag growth condition information data under the incompletely same environmental conditions are obtained, and according to a formula:
h×90％≤H≤h/90％，t×90％≤T≤t/90％，m×90％≤M≤m/90％，
s×90％≤S≤s/90％，p×90％≤P≤p/90％，
wherein H is carbon dioxide similar environment information data, T is temperature similar environment information data, M is moisture similar environment information data, S is illumination intensity similar environment information data, P is pH value similar environment information data,
the incoming data yields:
907.4≤H≤1120.2，20.3≤T≤25.0，67.6％≤M≤83.4％，
8.8≤S≤10.9，7.7≤P≤9.4，
matching with the historical data to further obtain a series of similar environment information data, growth condition information data of dates corresponding to the similar environment information data and growth cycle data of dates corresponding to the similar environment information data, wherein the growth cycle data comprises the following steps:
the first set of data:
908.6 of carbon dioxide similar environment information data, 20.5 of temperature similar environment information data,
68.4 percent of environment information data with similar moisture content and 8.9 percent of environment information data with similar illumination intensity,
The PH value is similar to the number of the environmental information of 7.8, the growth condition information data is 10.0, the growth period is 45,
the second set of data:
carbon dioxide similar environment information data 1008.5, temperature similar environment information data 21.2,
69.5 percent of environment information data with similar moisture, 9.0 percent of environment information data with similar illumination intensity,
The PH value is similar to the number of environmental information of 7.9, the growth condition information data is 10.6, the growth period is 48,
third group of data:
1000.2 parts of carbon dioxide similar environment information data, 21.2 parts of temperature similar environment information data,
70.5 percent of environment information data with similar moisture, 9.2 percent of environment information data with similar illumination intensity,
The PH value is 8.0 similar to the environmental information, the growth condition information data is 10.6, the growth period is 50,
fourth group data:
1101.3 parts of carbon dioxide similar environment information data, 22.5 parts of temperature similar environment information data,
78.0% of moisture similar environment information data, 9.0% of illumination intensity similar environment information data,
The PH value is similar to the environmental information number of 8.9, the growth condition information data of 11.4 and the growth period of 55,
fifth set of data:
1090.0 carbon dioxide similar environment information data, 22.2 temperature similar environment information data,
70.0 percent of environment information data with similar moisture, 9.2 percent of environment information data with similar illumination intensity,
The PH value is 8.9 similar to the environmental information, the growth condition information data is 11.3, the growth period is 60,
according to the formula:
k 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，
the threshold range is recorded as k 1 ,k 2 ]，
Wherein k is 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 \8230;, vi } represents in the set V 1 ，V 2 ，V 3 ，V 4 ，……，V i Get the minimum value, k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 \8230;. Vi } stands forIn the set { V } 1 ，V 2 ，V 3 ，V 4 \8230, and\8230, the Vi is the maximum value;
substituting the data to obtain: k is a radical of 1 ＝10.0，k 2 =11.4, threshold range [10.0, 11.4]]，
According to the formula:
V＝x×h+y×t+c×m+f×s+g×p+L，
wherein V is information data of the growth condition of the edible fungus bag predicted according to the linear regression model, x, y, c, f, g and L are respectively coefficient parameters of the linear regression model,
using Matlab simulation software, x =0.005, y =0.2, c =0.5, f =0.02, g =0.04, l =0.5,
substituting data h =1008.2, t =22.5, m =75.1%, s =9.8, p =8.5 yields: v =11.0, and V =11.0,
and (3) judging that the growth condition of the edible fungi is normal according to 11.0 epsilon [10.0, 11.4], further predicting the growth cycle of the collected edible fungi according to a formula:
where D represents an average value of growth cycle data of dates corresponding to similar environment information data,
the incoming data yields:
thereby predicting the growth cycle of the collected edible fungi to be 52 days;
in addition, if the collected environmental information data and the collected information data of the growth condition of the edible fungus bag are respectively as follows:
h＝900.5，t＝20.2，m＝71.0％，s＝9.1，p＝8.1，
substitution into the formula:
h×90％≤H≤h/90％，t×90％≤T≤t/90％，m×90％≤M≤m/90％，
s×90％≤S≤s/90％，p×90％≤P≤p/90％，
obtaining:
810.5≤H≤1000.6，18.2≤T≤22.4，64.0％≤M≤78.9％，
8.2≤S≤10.1，7.3≤P≤9.0；
matching with the historical data to further obtain a series of similar environment information data, growth condition information data of dates corresponding to the similar environment information data and growth cycle data of dates corresponding to the similar environment information data, wherein the growth cycle data comprises the following steps:
the first set of data:
980.0 parts of carbon dioxide similar environment information data, 21.1 parts of temperature similar environment information data,
68.4 percent of environment information data with similar moisture, 8.8 percent of environment information data with similar illumination intensity,
The PH value is 8.5 similar to the environmental information, the growth condition information data is 10.5, the growth period is 55,
the second set of data:
960.5 parts of carbon dioxide similar environment information data, 20.5 parts of temperature similar environment information data,
75.9 percent of environment information data with similar moisture, 9.9 percent of environment information data with similar illumination intensity,
The PH value is 8.8 similar to the environmental information, the growth condition information data is 10.3, the growth period is 60,
third group of data:
1080.5 carbon dioxide similar environment information data, 22.2 temperature similar environment information data,
75.6 percent of environment information data with similar moisture, 8.6 percent of environment information data with similar illumination intensity,
The PH value is 8.8 similar to the environmental information, the growth condition information data is 11.2, the growth period is 55,
fourth group data:
990.6 of carbon dioxide similar environment information data, 22.2 of temperature similar environment information data,
78.0% of environment information data with similar moisture, 9.0% of environment information data with similar illumination intensity,
The PH value is similar to the number of environmental information of 8.9, the growth condition information data is 10.8, the growth period is 55,
fifth set of data:
880.5 parts of carbon dioxide similar environment information data, 22.2 parts of temperature similar environment information data,
70.0 percent of environment information data with similar moisture, 9.2 percent of environment information data with similar illumination intensity,
The PH value is 8.9 similar to the environmental information, the growth condition information data is 10.2, the growth period is 60,
according to the formula:
k 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，
the threshold range is noted as k 1 ,k 2 ]；
Substituting the data to obtain: k is a radical of 1 ＝10.2，k 2 =11.2, threshold range [10.2, 11.2%]，
According to the formula:
V＝x×h+y×t+c×m+f×s+g×p+L，
wherein V is information data of the growth condition of the edible fungus bag predicted according to the linear regression model, x, y, c, f, g and L are coefficient parameters of the linear regression model respectively,
using Matlab simulation software, x =0.005, y =0.2, c =0.5, f =0.02, g =0.04, L =0.5 are obtained,
substituting data h =900.5, t =20.2, m =71.0%, s =9.1, p =8.1 yields: v =9.9, and V is,
according to
If the growth condition of the edible fungi is judged to be abnormal, the maximum value v is further used 2 The operator is prompted to perform a processing operation based on the similar environment information data corresponding to the date of 11.2, where the similar environment information data corresponding to the date is:
1080.5 parts of carbon dioxide similar environment information data, 22.2 parts of temperature similar environment information data,
75.6 percent of environment information data with similar moisture content and 8.6 percent of environment information data with similar illumination intensity,
The PH value is similar to the environmental information number of 8.8, and the growth condition information data is 11.2.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a growth progress monitoring system that domestic fungus package grows which characterized in that: the system comprises a data acquisition module, a data storage module, a data processing module, a data display module and an operation guidance module;
the data acquisition module is used for simultaneously acquiring environmental information data and historical growth condition information data in the growth process of the edible fungus bag; the data storage module is used for recording and storing environmental information data and historical growth condition information data in the growth process of the edible fungus bag; the data processing module is used for processing environmental information data and historical growth condition information data in the growth process of the edible fungus bag, and analyzing and judging whether the growth condition is abnormal or not; the data display module converts the real-time environmental information data and the predicted growth condition information data and displays the real-time environmental information data and the predicted growth condition information data in a chart form; the operation guidance module is used for reminding an operator to timely process abnormal conditions and predict the growth cycle of the edible fungi;
the output end of the data acquisition module is connected with the input ends of the data storage module and the data processing module; the output end of the data processing module is connected with the input ends of the data storage module and the operation guidance module; the output end of the data storage module is connected with the input ends of the data processing module and the data display module; the output end of the operation guidance module is connected with the input end of the data display module;
the data acquisition module also comprises an environmental data acquisition unit and a growth condition data acquisition unit;
the environment data acquisition unit is used for acquiring environment information data of temperature, carbon dioxide, moisture, illumination and PH value in the growth process of the edible fungus bag, wherein the environment information data comprises environment information data which does not generate abnormal growth of the edible fungus bag in a historical period and environment information data which is acquired at present, and the environment information data which is acquired at present is stored as a historical data record after the growth period which does not generate abnormal growth of the edible fungus bag is ended; the environment data acquisition unit also comprises a carbon dioxide sensor, a temperature sensor, a moisture sensor, an illumination sensor and a PH value sensor; the output ends of the carbon dioxide sensor, the temperature sensor, the moisture sensor, the illumination sensor and the PH value sensor are respectively connected with the input end of the environment data acquisition unit;
the growth condition data acquisition unit is used for acquiring historical growth condition information data of the edible fungus bag; the growth condition data acquisition unit further comprises an image sensor, and the output end of the image sensor is connected with the input end of the growth condition data acquisition unit.
2. The system for monitoring the growth progress of the growth of the edible fungus bag according to claim 1, wherein: the carbon dioxide sensor is used for monitoring the carbon dioxide in the growing environment of the edible fungus bag in real time, the temperature sensor is used for monitoring the temperature in the growing environment of the edible fungus bag in real time, the moisture sensor is used for monitoring the moisture in the growing environment of the edible fungus bag in real time, the illumination sensor is used for monitoring the illumination intensity of the growing environment of the edible fungus bag in real time, the PH value sensor is used for monitoring the PH value of the growing environment of the edible fungus bag in real time, and the image sensor is used for acquiring the position information of the edible fungus bag.
3. The system for monitoring the growth progress of the growth of the edible fungus bag according to claim 1, wherein: the operation guidance module further comprises an exception handling indication unit and a growth cycle prediction unit; the abnormal processing indicating unit is used for indicating operation according to the environmental information data processed in the data processing module when the edible fungi grow abnormally; the growth cycle prediction unit is used for predicting the growth cycle of the edible fungi.
4. The system for monitoring the growth progress of the growth of the edible fungus bag according to claim 1, wherein: the data storage module also comprises a data calling unit, a data storage unit and a database unit; the output end of the data calling unit is connected with the input end of the data storage unit, and the output end of the data storage unit is connected with the input end of the database unit;
the data calling unit is used for acquiring environmental information data, historical growth condition information data, dates corresponding to the environmental information data and the historical growth condition information data; the data storage unit is used for storing environmental information data and historical growth condition information data which correspond to each other in date; the database unit is used for storing environmental information data, historical growth condition information data and growth cycle data which are on the dates corresponding to each other and are not subjected to abnormal growth of the edible fungus bags in the historical cycle.
5. The system for monitoring the growth progress of the growth of the edible fungus bag according to claim 4, wherein: the data processing module also comprises a growth period matching unit and a growth progress analysis unit; the output end of the growth period matching unit is connected with the input end of the growth progress analysis unit;
the growth period matching unit is used for acquiring environmental information data and historical growth condition information data of dates corresponding to each other in the database unit, performing maximum similarity matching processing on the environmental information data acquired in real time and the environmental information data in the database unit, and marking the acquired environmental information data processed by the maximum similarity matching processing as similar environmental information data;
the growth progress analysis unit is used for acquiring similar environment information data acquired in the growth period matching unit, sequencing historical growth condition information data of dates corresponding to the similar environment information data from small to large, extracting a maximum value and a minimum value from sequencing processing results, and marking the maximum value as k 2 Minimum value is denoted as k 1 Thus obtaining a threshold range, said threshold range being denoted as [ k ] 1 ,k 2 ]And the threshold range is used as a basis for judging whether the edible fungus bag abnormally grows, when the real-time growth condition information data of the edible fungus bag belongs to the threshold range, the edible fungus bag normally grows, and otherwise, the edible fungus bag abnormally grows.
6. The system for monitoring the growth progress of the growth of the edible fungus bag according to claim 5, wherein: the growth progress analysis unit is further configured to acquire growth cycle data corresponding to the similar environment information data acquired in the growth period matching unit, average the acquired growth cycle data, and record the averaged growth cycle data as predicted growth cycle data of the current edible fungus package.
7. A method for monitoring the growth progress of edible fungus bag growth is characterized by comprising the following steps:
s1, collecting environmental information data of edible fungus bag growth in real time;
s2, acquiring environmental information data, growth condition information data and growth cycle data in the whole process from inoculation to harvesting in a historical period of the edible fungus bag, wherein the historical period is a growth period in which abnormal growth of the edible fungus bag does not occur, the environmental information data is used as a basis for prompting an operator to process when the edible fungus bag abnormally grows, the growth condition information data is used as a basis for judging whether the edible fungus bag abnormally grows, and the growth cycle data is used as growth cycle data for predicting normal growth of the current edible fungus;
s3, comparing and analyzing the real-time acquired edible fungus bag growth environment information data and the predicted edible fungus bag growth condition information data with the historical growth condition information data and the environmental information data in the historical period, wherein the abnormal growth of the edible fungus bag does not occur, and further judging whether the edible fungus bag grows abnormally or not;
s4, reminding an operator to process in time after the edible fungus bag grows abnormally, and prompting the operator according to environmental information data which does not grow abnormally in the historical period;
s5, according to environmental information data, historical growth condition information data and growth cycle data of the edible fungus packages which do not have abnormal growth in the historical cycle, combining the real-time collected environmental information data of the edible fungus packages, and further predicting the growth cycle of the edible fungus in real time after analysis;
in the step S1, collecting environmental information data and growth condition information data of carbon dioxide, temperature, moisture, illumination and PH value of the edible fungus bag growth in real time, recording carbon dioxide monitoring data as h, temperature monitoring data as t, moisture monitoring data as m, illumination intensity monitoring data as S and PH value monitoring data as p;
in the step S2, the environment information data of the edible fungus bag growth collected in real time and the acquired environment information data of the edible fungus bag which does not have abnormal growth in the historical period are subjected to maximum similarity matching processing, a threshold value Q is set, and when the threshold value Q is exceeded, the edible fungus bag can grow normally; recording the obtained environment information data processed by the maximum similarity matching pair as similar environment information data according to the condition that all the environment information data are greater than Q;
in step S3, the historical growth condition information data of the date corresponding to the similar environment information data acquired in step S2 is sorted from small to large, the maximum value and the minimum value are extracted from the sorting result, and the maximum value is recorded as k 2 The minimum value is k 1 So as to obtain a threshold range, said threshold range being denoted as [ k ] 1 ,k 2 ]Judging whether the growth of the edible fungus bag is abnormal or not according to the threshold range, wherein the edible fungus bag is normally grown when the predicted growth condition information data of the edible fungus bag belongs to the threshold range, and the edible fungus bag is abnormally grown if the predicted growth condition information data of the edible fungus bag belongs to the threshold range;
in step S4, according to the condition that the edible fungus bag grows abnormally in the step S3, an operator is prompted to carry out processing operation on the basis of the maximum value in the step S3 to obtain the environmental information data of the date corresponding to the maximum value;
in step S5, the steps from S1 to S4 are repeated according to the change of the data monitored every day to monitor the growth period which changes at any time in the growth process of the edible fungus bag.
8. The method for monitoring the growth progress of the growth of the edible fungus bag according to claim 7, wherein the method comprises the following steps: in step S2, the manner of acquiring similar environment information data is as follows:
s2-1, obtaining a group of edible fungus bag growth information data monitored in real time as h, t, m, S and p, according to a formula:
h×Q≤H≤h/Q，t×Q≤T≤t/Q，m×Q≤M≤m/Q，
s×Q≤S≤s/Q，p×Q≤P≤p/Q，
h is carbon dioxide similar environment information data, T is temperature similar environment information data, M is moisture similar environment information data, S is illumination intensity similar environment information data, and P is PH value similar environment information data;
and S2-2, acquiring environmental information data of H, T, M, S and P which meet the conditions and do not generate the growth cycle of the abnormal growth of the edible fungus bag, and recording the environmental information data as similar environmental information data.
9. The method for monitoring the growth progress of the growth of the edible fungus bag according to claim 7, wherein the method comprises the following steps: in step S3, the step of determining whether the growth of the edible fungus bag is abnormal according to the threshold range includes:
s3-1, acquiring historical growth condition information data of the date corresponding to the similar environmental information data in the step S2, and recording the historical growth condition information data as V 1 、V 2 、V 3 、V 4 、……、V i Wherein i represents the number of the obtained historical growth condition information data, and according to a formula:
k 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i }，
the threshold range is recorded as k 1 ,k 2 ]，
Wherein k is 1 ＝Min{V 1 ，V 2 ，V 3 ，V 4 ，……，V i Represents in the set { V } 1 ，V 2 ，V 3 ，V 4 ，……，V i Get the minimum value of, k 2 ＝Max{V 1 ，V 2 ，V 3 ，V 4 ，……，V i Represents in the set { V } 1 ，V 2 ，V 3 ，V 4 ，……，V i Taking the maximum value;
s3-2, acquiring historical growth condition information data of the date corresponding to the similar environment information data according to the similar environment information data in the step S2, and acquiring a linear regression model of the environmental information data of carbon dioxide, temperature, moisture, illumination and PH value of the edible fungus bag growth and the historical growth condition information data of the edible fungus bag growth, wherein the linear regression model comprises the following steps:
V＝x×h+y×t+c×m+f×s+g×p+L，
v is information data of the growth condition of the edible fungus bag predicted according to the linear regression model, and x, y, c, f, g and L are coefficient parameters of the linear regression model respectively;
and S3-3, judging whether the V belongs to the threshold range, if so, indicating that the edible fungus bag grows normally, and otherwise, indicating that the edible fungus bag grows abnormally.
10. The method for monitoring the growth progress of the edible fungus bag growth according to claim 7, wherein the method comprises the following steps: in step S5, the step of monitoring the growth cycle of the edible fungus bag that changes at any time during the growth process is as follows:
s5-1, acquiring growth cycle data of a date corresponding to the similar environment information data according to the similar environment information data in the step S2, and recording the growth cycle data as d 1 、d 2 、d 3 、d 4 、……、d j Wherein j represents the number of growth cycle data obtained;
s5-2, according to the formula:
wherein D represents the average value of the growth cycle data of the date corresponding to the similar environmental information data, and the average value is used as the growth cycle for predicting the normal growth of the edible fungi;
and S5-3, sending the predicted growth period and position information of the normal growth of the edible fungi to an operator.
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