A multi-point real-time monitoring system for edible mushroom cultivation environment

Abstract

The invention discloses a multi-point real-time monitoring system for an edible fungus cultivation environment, and relates to the technical field of edible fungus monitoring. The real-time monitoring system comprises a data acquisition unit, a preprocessing unit, a judgment and early warning unit, a growth detection unit, a multi-point scheduling unit, and an evaluation and analysis unit. The data acquisition unit detects partitions in an edible fungus cultivation greenhouse, and uses a detection device to obtain environmental data of each partition. The detection device is configured in each partition. The technical key points are: using the judgment and early warning unit to complete standard judgment of single environmental data in each partition to achieve the effect of pre-processing and early warning, and combining with the use of a subsequent evaluation and analysis unit, comprehensively judging each environmental data to form a specific environmental stability evaluation value Wphz i , and then make a secondary judgment to accurately and effectively determine whether the environment in the corresponding partition is stable and its degree of stability.

Description

Technical Field

[0001] The invention relates to the technical field of edible fungus monitoring, and in particular to a multi-point real-time monitoring system for an edible fungus planting environment. Background Art

[0002] The monitoring of the edible fungus cultivation environment is used to evaluate and ensure whether the growth environment during the edible fungus cultivation process meets the requirements for the growth of edible fungi, thereby ensuring the quality and safety of edible fungi. Specifically, the monitoring of the edible fungus cultivation environment can include the following aspects: temperature monitoring, humidity monitoring, light monitoring, CO 2 Concentration monitoring, air quality monitoring, water quality monitoring, etc. Taking air quality monitoring as an example, the air quality in the planting environment also affects the growth of edible fungi. The temperature, humidity, oxygen content and harmful gases in the air are monitored through air quality sensors and other equipment to ensure that the air quality meets the growth needs of edible fungi. The above are some specific contents of edible fungi planting environment monitoring. By monitoring and regulating these indicators, the yield and quality of edible fungi can be improved to ensure the safety and nutritional value of edible fungi.

[0003] The existing authorization announcement number is CN114967805B, and the invention patent named "Intelligent Control System Suitable for Edible Fungi Cultivation Room" points out the technical solution including a region division module, a growth monitoring module and a supply control module; the region division module is used for division based on the environmental parameters required for the growth of edible fungi; the growth monitoring module is used for acquiring the environmental parameters during the growth of edible fungi; the supply control module is used for processing based on the growth state of edible fungi and the environmental parameters during the growth process, and obtaining the supply parameters of edible fungi; the present invention can plan different growth areas in one space by acquiring and processing the growth habit parameters of different types of edible fungi, thereby meeting the growth of different types of edible fungi;

[0004] Another application publication number is CN104090610A, which is a method for controlling the edible fungus cultivation environment. The method sets multiple sets of threshold control point data and environmental system parameters during the growth of edible fungi. The processing unit reads data from the database server and processes and controls the edible fungi cultivation environment, thereby realizing the control of the heating equipment, humidifying equipment and ventilation equipment, solving the problem of not requiring manual real-time monitoring of edible fungi cultivation, realizing automated intervention in the edible fungi growth environment, and automatically controlling the humidity, temperature and CO in the growth environment. 2 concentration to create the best growth environment for edible fungi.

[0005] However, in view of the above patent combined with the prior art, traditionally, plastic greenhouses are used for the cultivation of edible fungi. When different types of edible fungi are cultivated in the greenhouse, it is usually necessary to monitor the environment in the greenhouse in real time to ensure that the corresponding types of edible fungi remain within a suitable or standard range, and then realize real-time monitoring and processing of the environment. Environmental measurements are only performed from a single point, and the impact of the environment on edible fungi cannot be comprehensively determined, which in turn affects the accuracy of the determination of the stability of the growth environment of edible fungi. If a certain position of the greenhouse is damaged, it only affects the growth of edible fungi in a single point area in the corresponding partition, and timely judgment cannot be made, which will affect the overall quality of the edible fungi. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the shortcomings of the prior art, the present invention provides a multi-point real-time monitoring system for the cultivation environment of edible fungi. The judgment and early warning unit is used to complete the standard judgment of the single environmental data in each partition to achieve the role of pre-treatment and early warning. Combined with the use of the subsequent evaluation and analysis unit, the various environmental data are comprehensively judged to form a specific environmental stability evaluation value Wphz i , and then a secondary judgment is made to accurately and effectively determine whether the environment in the corresponding partition is stable and its degree of stability, which solves the problem raised in the background technology that the stability of the traditional edible fungus growth environment cannot be accurately and effectively judged.

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0010] A multi-point real-time monitoring system for an edible mushroom cultivation environment, comprising:

[0011] The data acquisition unit detects the partitions in the edible fungus cultivation greenhouse and uses detection equipment to obtain environmental data of each partition. The detection equipment is configured in each partition, including a comprehensive sensor group, a monitoring camera terminal and a soil sensor;

[0012] A preprocessing unit, which preprocesses the environmental data obtained from each partition;

[0013] The judgment warning unit compares each data in the environmental data with the preset standard range value of the corresponding partition. If the corresponding data is within the corresponding standard range value, no response action is taken. Otherwise, a warning is issued;

[0014] The growth detection unit extracts the image data collected from the monitoring camera terminal, processes and calculates the image data to obtain the height difference and growth rate of the edible fungi in the corresponding partition. The process of processing and calculating the image data includes calculating the height of the edible fungi. When the height is calculated, the rule engine in the growth detection unit is triggered to mark the edible fungi image with a height difference exceeding a threshold value.

[0015] The multi-point scheduling unit drives the detection equipment of a certain partition to the partition where the edible mushroom image mark exists, under the condition that the height difference of the edible mushrooms in the partition does not exceed the threshold value, so as to obtain the environmental data in the partition where the edible mushroom image mark exists again;

[0016] The evaluation and analysis unit calculates and obtains the difference parameters of the environmental data in the same partition obtained by two detection devices, and builds a data analysis model based on the difference parameters to generate the environmental stability evaluation value Wphz of the corresponding partition i and the environmental stability assessment value Wphz i Compare with the preset evaluation threshold and execute the corresponding strategy based on the comparison result.

[0017] Furthermore, the integrated sensor group is composed of an environmental temperature and humidity sensor, a light intensity sensor, and a carbon dioxide concentration sensor, and the integrated sensor group is an integral structure, which is arranged on the electric control track above the greenhouse. The integrated sensor group is used to collect the temperature Wd of the air in the corresponding partition in the environmental data. i 、Humidity Sd i , light intensity Eq i And the carbon dioxide concentration Ce i , i in the partition environment data obtained by the detection device represents the partition number, and the partition numbers are marked in a counterclockwise order, i=1, 2, ..., n, where n is a positive integer.

[0018] Furthermore, the monitoring camera terminal is set on the electric control track configured on the side wall of the greenhouse to monitor the growth rate of edible fungi in the corresponding partition in the horizontal direction; the stainless steel probe end of the soil sensor is always inserted into the soil ditch of the corresponding partition, and is connected to the electric control track configured on the periphery by an inverted U-shaped metal rod. The soil sensor is used to collect the soil temperature Tw in the corresponding partition in the environmental data. i and soil moisture Ts i .

[0019] Furthermore, the steps for preprocessing the environmental data obtained for each partition are as follows:

[0020] S101. Clean the environmental data to remove noise data, abnormal data and missing data;

[0021] S102: Aggregate the environmental data in the same partition to form an environmental data set of the corresponding partition.

[0022] Further, the steps of processing and calculating the image data are as follows:

[0023] S201, feature extraction: extracting features representing the growth height of edible fungi from the image data;

[0024] S202, feature tracking: using a tracking algorithm to track changes in the boundaries of the edible fungi over time;

[0025] S203, height calculation: according to the position information of the boundary of the edible fungus, calculate the change of its height over time, compare the height values ​​of the edible fungus in the image data within the same time interval, obtain the height difference, and trigger the rule engine in the growth detection unit when performing the height calculation;

[0026] S204, growth rate estimation: the growth rate of the edible fungus is obtained by calculating the height difference between adjacent time points and dividing the difference by the time interval.

[0027] Furthermore, the difference parameters of the environmental data in the same partition obtained by the two detection devices are calculated, where the difference parameters include temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw and soil humidity difference Cts, where the temperature difference Cwd = | temperature Wd obtained by the detection device in this area i -The temperature Wd| obtained by the scheduled detection equipment, and other differences in the difference parameters are also calculated and obtained in the same way as the temperature difference Cwd.

[0028] Further, generate the environmental stability assessment value Wphz for the corresponding partition i The steps are as follows:

[0029] S301, non-dimensionalizing the temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw, and soil humidity difference Cts in the difference parameters;

[0030] S302: Build a data analysis model to generate the environmental stability assessment value Wphz for the corresponding partition i , the formula is as follows:

[0031]

[0032] In the formula, a 1 、a 2 、a 3 、a 4 、a 5 、a 6are the proportional coefficients of temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw, and soil moisture difference Cts, respectively, and a 5 >a 6 >a 4 >a 3 >a 1 >a 2 >0, G is a constant correction coefficient.

[0033] Furthermore, the environmental stability assessment value Wphz i The results compared with the preset evaluation threshold are as follows:

[0034] If the environmental stability assessment value Wphz i If the evaluation threshold is not exceeded, no response action will be taken. If the environmental stability evaluation value is Wphz i If the assessment threshold is exceeded, an alarm is processed and a maintenance strategy is executed. The alarm processing is to set an alarm to sound and light alarm to prompt the staff to execute the maintenance strategy. The maintenance strategy is to inspect and repair the inner and outer walls of the greenhouse in the corresponding partition, and add fertilizer to the soil in the corresponding partition.

[0035] (III) Beneficial effects

[0036] The present invention provides a multi-point real-time monitoring system for the edible fungus cultivation environment, which has the following beneficial effects:

[0037] 1. By dividing the planting area in the greenhouse according to the edible fungus varieties, the judgment and early warning unit is used to complete the standard judgment of the single environmental data in each partition to achieve the role of pre-treatment and early warning. Combined with the use of subsequent evaluation and analysis units, the various environmental data are comprehensively judged to form a specific environmental stability assessment value Wphz i , and then make a secondary judgment to accurately and effectively determine whether the environment in the corresponding partition is stable and its degree of stability, which reflects the practicality and efficiency of the overall detection system;

[0038] 2. After the edible fungi varieties in the greenhouse are divided into different zones, a multi-point dispatching unit is added. When the growth detection unit detects that the height difference of the edible fungi in a certain zone does not exceed the threshold, the detection equipment of the zone is driven to the zone with the edible fungi image mark to obtain the generation environment stability assessment value Wphz i The required parameters ensure that the detection time is consistent, so that the two sets of detection equipment can complete the collection of environmental data at different detection points in the same zone, so that the monitoring system can fully utilize the detection equipment and realize real-time monitoring of edible fungi;

[0039] 3. When the growth detection unit is used to detect the corresponding type of edible fungi in the greenhouse, the height of the edible fungi in the same partition is calculated, and the edible fungi images with height differences exceeding the threshold are marked to effectively distinguish edible fungi with different growth rates. The detection equipment in the partition where the edible fungi with height differences not exceeding the threshold are located is adjusted externally to detect the area of ​​the marked edible fungi image, which reflects the intelligent design of the overall monitoring system and conducts targeted monitoring and judgment on the growth rate of edible fungi. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the connection between the detection equipment and the measurement and control host of the multi-point real-time monitoring system for the edible fungus cultivation environment of the present invention;

[0041] Figure 2 This is a unitized principle diagram of the multi-point real-time monitoring system for the edible fungus cultivation environment of the present invention;

[0042] Figure 3 It is a cross-sectional view of each detection device in the greenhouse in the multi-point real-time monitoring system for the edible fungus cultivation environment of the present invention;

[0043] In the figure:

[0044] 11. Integrated sensor group; 12. Monitoring camera terminal; 13. Soil sensor. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] See also Figures 1 to 3 The present invention provides a multi-point real-time monitoring system for an edible mushroom cultivation environment, comprising:

[0047] The data collection unit detects the partitions in the edible fungus cultivation greenhouse and uses the detection equipment to obtain the environmental data of each partition;

[0048] In the present application, there are four types of edible fungi. The greenhouse is divided into four zones by a diaphragm. One type of edible fungi is planted in each zone, and each zone is equipped with temperature and humidity control equipment, such as a constant temperature and humidity machine, and light control equipment, such as several suspended fill lights, ventilators, and spray pipe groups connected to water pumps, such as Figure 3As shown, the upper picture shows the structure of the detection equipment located on the upper wall of the greenhouse, and the lower picture shows the structure of the detection equipment located on the ground in the greenhouse;

[0049] Among them, the detection equipment will be configured in each partition, including a comprehensive sensor group 11, a monitoring camera terminal 12 and a soil sensor 13. The comprehensive sensor group 11 is composed of an environmental temperature and humidity sensor, a light intensity sensor, and a carbon dioxide concentration sensor. The comprehensive sensor group 11 is an integral structure and is set on the electric control track above the greenhouse. The comprehensive sensor group is used to collect the temperature Wd of the air in the corresponding partition. i 、Humidity Sd i , light intensity Eq i And the carbon dioxide concentration Ce i ;

[0050] The monitoring camera terminal 12 is arranged on the electric control track configured on the side wall of the greenhouse, and monitors the growth rate of the edible fungi in the corresponding partition from the horizontal direction. By regularly taking or recording images or videos of the mycelium, the growth of the mycelium is observed by comparing the images at different time points, so as to estimate the growth rate of the edible fungi in the corresponding partition;

[0051] The soil sensor 13 uses an RS485 sensor to accurately detect the temperature and humidity of the soil. The stainless steel probe end of the soil sensor 13 is always inserted into the soil ditch of the corresponding partition, and is connected to the electric control track configured on the periphery by setting an inverted U-shaped metal rod, so that the electric control track can drive the corresponding soil sensor 13 to always move in the soil ditch, thereby completing the monitoring of soil temperature and humidity. The soil sensor 13 is used to collect the soil temperature Tw in the corresponding partition. i and soil moisture Ts i ;

[0052] In the partition environment data obtained by the above detection equipment, i represents the partition number, and the partition numbers are marked as 1, 2, 3, and 4 in counterclockwise order, so i = 1, 2, ... n, where n is a positive integer and the maximum value is 4. Each partition environment data includes the temperature Wd i 、Humidity Sd i , light intensity Eq i 、Carbon dioxide concentration Ce i , soil temperature Tw i and soil moisture Ts i .

[0053] Specifically, a measurement and control host corresponding to each detection device is configured outside the edible fungus cultivation greenhouse. The measurement and control host and the corresponding detection device are connected by setting a wireless communication module, and each measurement and control host is equipped with a central processing unit. The preprocessing unit, judgment and early warning unit, growth monitoring unit, multi-point scheduling unit and evaluation and analysis unit mentioned later in the system are all set in the central processing unit, such as Figure 1 As shown, each measurement and control host also includes a WIFI module, through which the data detected or processed by the measurement and control subject can be wirelessly transmitted, which can be transmitted to the cloud platform for storage and backup, and can also be connected to various mobile phone APPs to facilitate remote monitoring by staff. Figure 1 It can be seen that when wireless transmission is performed, both the detection equipment and the measurement and control host are equipped with wireless communication modules.

[0054] The preprocessing unit preprocesses the environmental data obtained from each partition. The preprocessing steps are as follows:

[0055] S101. Data cleaning: Clean the environmental data to remove noise data, abnormal data and missing data to ensure the accuracy and completeness of the data;

[0056] S102, aggregate the environmental data in the same partition to form an environmental data set of the corresponding partition. For example, aggregate the environmental data of the first partition, then the environmental data set of the first partition = {temperature Wd 1 、Humidity Sd 1 , light intensity Eq 1 、Carbon dioxide concentration Ce 1 , soil temperature Tw 1 and soil moisture Ts 1};

[0057] The purpose of preprocessing environmental data is to avoid data confusion and facilitate subsequent adjustment and extraction.

[0058] The judgment warning unit compares each data in the environmental data set with the preset standard range value of the corresponding partition. If the corresponding data is within the corresponding standard range value, the system does not respond. For example, the temperature Wd of the morels planted in the first partition is 1 =19°, the corresponding standard range value, i.e. the temperature range suitable for the growth of morels, is 18°~22°. Since 19° is within the range of 18°~22°, the system does not respond; if the corresponding data is outside the corresponding standard range value, the system issues an early warning;

[0059] It should be noted that the system issues an early warning based on the display configured on the corresponding measurement and control host. When different data exceeds the corresponding standard range, the red flashing interface of the corresponding data is displayed on the display to remind the staff; for example: temperature Wd 1 If the temperature exceeds the corresponding standard range, the display will show the temperature Wd. 1 The specific value of the data is displayed in red and strobes. For the temperature Wd 1 If the temperature is within the corresponding standard range, the display will show the temperature Wd 1 The specific value is static green, which is convenient for subsequent adjustments as needed. For example, if the temperature in the partition is higher than the standard temperature range, use a constant temperature and humidity machine to heat it until the temperature in the corresponding partition is within the standard temperature range.

[0060] The growth detection unit extracts the image data collected from the monitoring camera terminal 12, processes and calculates the image data to obtain the growth rate of the edible fungi in the corresponding partition;

[0061] The steps for processing and calculating image data are as follows:

[0062] S201, feature extraction: extracting features representing the growth height of edible fungi from the image data; specifically, computer vision technology, such as image processing and analysis technology, may be used to extract the boundaries of edible fungi in the image;

[0063] S202, feature tracking: using a tracking algorithm to track changes in the boundaries of the edible fungi over time; the tracking algorithm here uses an object tracking algorithm, such as a Kalman filter or an object detection and tracking method based on deep learning;

[0064] S203, height calculation: according to the position information of the boundary of the edible fungus, calculate the change of its height over time; compare the height values ​​of the edible fungus in the image data within the same time interval to obtain the height difference;

[0065] When performing height calculation, a rule engine in the growth detection unit is triggered to mark the edible mushroom image with a height difference exceeding a threshold, and to segment the marked edible mushroom from other edible mushrooms in the image; the segmentation mentioned here adopts an image segmentation technology, such as threshold-based segmentation;

[0066] S204, growth rate estimation: according to the height change of the edible fungus, its growth rate is calculated, and the growth rate of the edible fungus is obtained by dividing the height difference between adjacent time points by the time interval.

[0067] The multi-point scheduling unit drives the detection equipment of a certain partition to the partition where the edible mushroom image mark exists, under the condition that the height difference of the edible mushrooms in the partition does not exceed the threshold value, so as to obtain the environmental data in the partition where the edible mushroom image mark exists again; the above-mentioned driving is carried out by sending instructions to each electric control track through the central processing unit, so that the slider of the electric control track drives the detection equipment of the partition to move to the partition where the edible mushroom image mark exists.

[0068] By adopting the above technical solution: after the edible fungi varieties in the greenhouse are divided into zones, a multi-point scheduling unit is added. When the growth detection unit detects that the height difference of the edible fungi in a certain zone does not exceed the threshold, the detection device of the zone is driven to the zone where the edible fungi image mark exists, so as to obtain the generated environment stability evaluation value Wphz i The required parameters ensure that the detection time is consistent, so that the two groups of detection equipment can complete the collection of environmental data at different detection points in the same zone, so that the monitoring system can fully utilize the detection equipment and realize real-time monitoring of edible fungi.

[0069] The evaluation and analysis unit calculates and obtains the difference parameters of the environmental data in the same partition obtained by two detection devices, and builds a data analysis model based on the difference parameters to generate the environmental stability evaluation value Wphz of the corresponding partition i and the environmental stability assessment value Wphz i Compare with the preset evaluation threshold and execute corresponding strategies according to the comparison results;

[0070] Among them, the difference parameters include temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw and soil humidity difference Cts;

[0071] Temperature difference Cwd = | Temperature Wd obtained by the detection equipment in this area i -The temperature Wd| obtained by the dispatched detection equipment, other differences in the difference parameter are also calculated and obtained in the same way as the temperature difference Cwd, which will not be explained here one by one.

[0072] Generate the environmental stability assessment value Wphz for the corresponding partition i The steps are as follows:

[0073] S301, performing dimensionless processing on the temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw, and soil humidity difference Cts in the difference parameters to remove the units in the parameters;

[0074] S302: Build a data analysis model to generate the environmental stability assessment value Wphz for the corresponding partition i , the formula is as follows:

[0075]

[0076] In the formula, a 1 、a 2 、a 3 、a 4 、a 5 、a 6 are the proportional coefficients of temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw, and soil moisture difference Cts, respectively, and a 5 >a 6 >a 4 >a 3 >a 1 >a 2 >0,a 1 +a 2 +a 3 +a 4 +a 5 +a 6 =3.806, G is a constant correction coefficient, and its specific value can be adjusted and set by the user, or generated by analytical function fitting. In this application, G is taken as 1.582.

[0077] It should be noted that: the technicians in this field collect multiple groups of sample data and set corresponding preset proportional coefficients for each group of sample data; substitute the preset proportional coefficients, which can be preset proportional coefficients and the collected sample data, into the formula, and any five formulas constitute a set of linear equations of five variables, and screen and average the calculated coefficients to obtain the values; the size of the coefficient is to quantify each parameter to obtain a specific value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preset proportional coefficients corresponding to each group of sample data preliminarily set by the technicians in this field. It can also be said that it is preset according to the actual situation, as long as it does not affect the proportional relationship between the parameter and the quantized value. For the preset proportional coefficients and constant correction coefficients described in other formulas, the above description is also adopted;

[0078] By adopting the above technical scheme: when the growth detection unit is used to complete the detection of the corresponding type of edible fungi in the greenhouse, the height of the edible fungi growth in the same partition is calculated, and the edible fungi images with height differences exceeding the threshold are marked, so as to effectively distinguish the edible fungi with different growth rates, and the detection equipment in the partition where the edible fungi with height differences not exceeding the threshold are located is adjusted externally to detect the area of ​​the marked edible fungi image, which reflects the intelligent design of the overall monitoring system and carries out targeted monitoring and judgment of the growth rate of edible fungi.

[0079] The environmental stability assessment value Wphzi The results compared with the preset evaluation threshold are as follows:

[0080] If the environmental stability assessment value Wphz i If the evaluation threshold is not exceeded, it means that the environment of the corresponding partition remains stable and the system does not take any response action;

[0081] If the environmental stability assessment value Wphz i If the assessment threshold is exceeded, an alarm is processed and a maintenance strategy is executed. The alarm processing is to use the alarm of the corresponding measurement and control host to issue an audible and visual alarm to prompt the staff to execute the maintenance strategy. The maintenance strategy is to inspect the inner and outer walls of the greenhouse in the corresponding partition, repair them when holes are found, and add fertilizer to the soil in the corresponding partition.

[0082] By adopting the above technical solution: the planting area in the greenhouse is divided into zones according to the edible fungus varieties, and the judgment and early warning unit is used to complete the standard judgment of the single environmental data in each zone to achieve the role of pre-treatment and early warning. Combined with the use of the subsequent evaluation and analysis unit, the various environmental data are comprehensively judged to form a specific environmental stability assessment value Wphz i , and then make a secondary judgment to accurately and effectively determine whether the environment in the corresponding partition is stable and its degree of stability, which reflects the practicality and efficiency of the overall detection system.

[0083] It should be noted that, as an optional explanation, the above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0084] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0085] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0086] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A multi-point real-time monitoring system for edible mushroom cultivation environment, characterized in that: include: The data acquisition unit detects the partitions in the edible fungus cultivation greenhouse and uses detection equipment to obtain environmental data of each partition. The detection equipment is configured in each partition and includes a comprehensive sensor group (11), a monitoring camera terminal (12) and a soil sensor (13); A preprocessing unit, which preprocesses the environmental data obtained from each partition; The judgment warning unit compares each data in the environmental data with the preset standard range value of the corresponding partition. If the corresponding data is within the corresponding standard range value, no response action is taken. Otherwise, a warning is issued; A growth detection unit extracts image data collected from a monitoring camera terminal (12), processes and calculates the image data to obtain a height difference and a growth rate of edible fungi in a corresponding partition, wherein the process of processing and calculating the image data includes calculating the height of the edible fungi, triggering a rule engine in the growth detection unit during the height calculation, and marking an edible fungi image whose height difference exceeds a threshold value; The multi-point scheduling unit drives the detection equipment of a certain partition to the partition where the edible mushroom image mark exists, under the condition that the height difference of the edible mushrooms in the partition does not exceed the threshold value, so as to obtain the environmental data in the partition where the edible mushroom image mark exists again; The evaluation and analysis unit calculates and obtains the difference parameters of the environmental data in the same partition obtained by two detection devices, and builds a data analysis model based on the difference parameters to generate the environmental stability evaluation value Wphz of the corresponding partition i and the environmental stability assessment value Wphz i Compare with the preset evaluation threshold and execute corresponding strategies according to the comparison results; Calculate and obtain the difference parameters of the environmental data in the same partition obtained by two detection devices, where the difference parameters include temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw and soil humidity difference Cts, where temperature difference Cwd = |temperature Wdi obtained by the detection device in this area - temperature Wd obtained by the dispatched detection device|, and other differences in the difference parameters are also calculated and obtained in the same way as the temperature difference Cwd; Generate the environmental stability assessment value Wphz for the corresponding partition i The steps are as follows: S301, non-dimensionalizing the temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw, and soil humidity difference Cts in the difference parameters; S302: Build a data analysis model to generate the environmental stability assessment value Wphz for the corresponding partition i , the formula is as follows: Wherein, a1, a2, a3, a4, a5, a6 are proportional coefficients of temperature difference Cwd, humidity difference Csd, light intensity difference Ceq, carbon dioxide concentration difference Cce, soil temperature difference Ctw and soil moisture difference Cts, respectively, and a5>a6>a4>a3>a1>a2>0, G is a constant correction coefficient; The environmental stability assessment value Wphz i The results compared with the preset evaluation threshold are as follows: If the environmental stability assessment value Wphz i If the evaluation threshold is not exceeded, no response action will be taken. If the environmental stability evaluation value is Wphz i If the evaluation threshold is exceeded, an alarm is processed and a maintenance strategy is executed. The alarm is processed by setting an alarm to give an audible and visual alarm, which is used to prompt the execution of the maintenance strategy. The maintenance strategy is to inspect and repair the inner and outer walls of the greenhouse in the corresponding partition, and add fertilizer to the soil in the corresponding partition.

2. The multi-point real-time monitoring system for the edible mushroom cultivation environment according to claim 1 is characterized in that: The integrated sensor group (11) is composed of an environmental temperature and humidity sensor, a light intensity sensor, and a carbon dioxide concentration sensor. The integrated sensor group is an integral structure and is arranged on an electric control track above the greenhouse. The integrated sensor group (11) is used to collect the temperature Wd of the air in the corresponding partition in the environmental data. i 、Humidity Sd i , light intensity Eq i And the carbon dioxide concentration Ce i , i in the partition environment data obtained by the detection device represents the partition number, and the partition numbers are marked in counterclockwise order, i=1, 2, ...n, where n is a positive integer.

3. A multi-point real-time monitoring system for edible mushroom cultivation environment according to claim 2, characterized in that: The monitoring camera terminal (12) is arranged on an electric control track arranged on the side wall of the greenhouse to monitor the growth rate of the edible fungi in the corresponding partition in the horizontal direction.

4. The multi-point real-time monitoring system for the edible mushroom cultivation environment according to claim 3 is characterized in that: The stainless steel probe end of the soil sensor (13) is always inserted into the soil ditch of the corresponding partition, and is connected to the electric control track configured on the periphery by setting an inverted U-shaped metal rod. The soil sensor (13) is used to collect the soil temperature Tw in the corresponding partition in the environmental data. i and soil moisture Ts i .

5. The multi-point real-time monitoring system for the edible mushroom cultivation environment according to claim 4 is characterized in that: The steps for preprocessing the environmental data obtained for each partition are as follows: S101. Clean the environmental data to remove noise data, abnormal data and missing data; S102: Aggregate the environmental data in the same partition to form an environmental data set of the corresponding partition.

6. A multi-point real-time monitoring system for the edible mushroom cultivation environment according to claim 5, characterized in that: The steps for processing and calculating image data are as follows: S201, feature extraction: extracting features representing the growth height of edible fungi from the image data; S202, feature tracking: using a tracking algorithm to track changes in the boundaries of the edible fungi over time; S203, height calculation: according to the position information of the boundary of the edible fungus, calculate the change of its height over time, compare the height values ​​of the edible fungus in the image data within the same time interval, obtain the height difference, and trigger the rule engine in the growth detection unit when performing the height calculation; S204, growth rate estimation: the growth rate of the edible fungus is obtained by calculating the height difference between adjacent time points and dividing the difference by the time interval.

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