Biological safety management system for livestock farm

By dividing sub-sites and environmental monitoring of the breeding farms, combining biological pest and disease monitoring, the aquaculture risk assessment coefficient is analyzed, which solves the problem of lack of comprehensiveness and the value of temperature and humidity data utilization in monitoring and protection of the existing system, and achieves more accurate and efficient aquaculture risk management.

CN119599435AInactive Publication Date: 2025-03-11如东县动物疫病预防控制中心

Patent Information

Application Number
CN202411643896.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-18
Publication Date
2025-03-11
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing biosafety management system of farms lacks comprehensiveness in monitoring and protection, and cannot timely monitor pests and diseases, and the temperature and humidity monitoring lacks continuity and data processing, resulting in ineffective management.

Method used

By dividing the farm into several sub-sites, ambient temperature and humidity monitoring are carried out, multiple temperature and humidity monitoring coefficients are obtained, and combined with biological pest and disease monitoring data, analyses and aquaculture risk assessment coefficients are obtained, and numerical comparisons and early warnings are performed.

Benefits of technology

It improves the comprehensiveness of breeding risk analysis and the accuracy of early warning results, enhances the application efficiency and utilization value of temperature and humidity data, and ensures the accuracy of safety management.

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Patent Text Reader

Abstract

The invention discloses a farm biological safety management system, relates to the field of biological breeding, solves the problem of poor management effect of existing farm biological safety management, and comprises an environment data module which is used for obtaining region division data, temperature monitoring coefficients and humidity monitoring coefficients corresponding to each breeding sub-site, the biological data module is used for carrying out biological disease and insect pest monitoring on each breeding sub-site, acquiring a site disease and insect pest monitoring coefficient corresponding to each breeding sub-site, obtaining breeding farm biological monitoring data and sending the breeding farm biological monitoring data to the monitoring module; the breeding risk module is used for analyzing according to the breeding farm environment monitoring data and the breeding farm biological monitoring data to obtain a breeding risk assessment coefficient corresponding to each breeding sub-site, and performing breeding risk early warning on each breeding sub-site according to the breeding risk assessment coefficient; according to the invention, the comprehensiveness and accuracy of biological safety management of the farm can be effectively improved.
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Description

Technical Field

[0001] The invention belongs to the field of biological breeding, relates to data analysis technology, and specifically is a biological safety management system for a breeding farm. Background Art

[0002] The existing farm biosafety management system has the following specific defects when conducting aquaculture risk management:

[0003] 1. Existing biosafety management of farms often only monitors and protects against specific diseases, and cannot monitor multiple pests and diseases in a timely manner, resulting in a lack of comprehensive pest and disease management;

[0004] 2. The existing biosafety management of farms lacks continuity in monitoring temperature and humidity, and is limited to simple temperature value monitoring without further processing of the data, resulting in low application value of temperature and humidity data and making it difficult for managers to fully grasp the changes in temperature and humidity;

[0005] To this end, we propose a farm biosafety management system. Summary of the invention

[0006] In view of the deficiencies in the prior art, the object of the present invention is to provide a biosafety management system for a breeding farm. The present invention is based on dividing a breeding farm into several breeding sub-sites to obtain regional division data, performing environmental temperature monitoring on each breeding sub-site respectively to obtain multiple temperature monitoring coefficients, performing environmental humidity monitoring on each breeding sub-site respectively to obtain multiple humidity monitoring coefficients, defining the regional division data, multiple temperature monitoring coefficients and multiple humidity monitoring coefficients as breeding farm environmental monitoring data, performing biological pest and disease monitoring on each breeding sub-site according to the breeding farm environmental monitoring data, obtaining the site pest and disease monitoring coefficient corresponding to each breeding sub-site according to the monitoring results, obtaining the breeding farm biological monitoring data, obtaining the breeding risk assessment coefficient corresponding to each breeding sub-site according to the breeding farm environmental monitoring data and the breeding farm biological monitoring data, obtaining the breeding risk assessment coefficient corresponding to each breeding sub-site according to the analysis, obtaining the breeding risk assessment coefficient threshold and performing numerical comparison with the breeding risk assessment coefficient corresponding to each breeding sub-site, and issuing a breeding risk warning according to the numerical comparison result.

[0007] In order to achieve the above purpose, the present invention adopts the following technical solution: a farm biosafety management system, the specific working process of each module is as follows:

[0008] Environmental data module: used to divide the farm into several breeding sub-sites, obtain regional division data, monitor the environmental temperature of each breeding sub-site respectively, obtain multiple temperature monitoring coefficients, monitor the environmental humidity of each breeding sub-site respectively, obtain multiple humidity monitoring coefficients, and define the regional division data, multiple temperature monitoring coefficients and multiple humidity monitoring coefficients as farm environmental monitoring data;

[0009] Biological data module: used to monitor biological pests and diseases in each breeding sub-site according to the environmental monitoring data of the breeding farm, obtain the site pest and disease monitoring coefficient corresponding to each breeding sub-site according to the monitoring results, and obtain the biological monitoring data of the breeding farm;

[0010] Breeding risk module: used to obtain the breeding risk assessment coefficient corresponding to each breeding sub-site according to the analysis of the breeding farm environmental monitoring data and the breeding farm biological monitoring data, and obtain the breeding risk assessment coefficient threshold and compare it with the breeding risk assessment coefficient corresponding to each breeding sub-site, and issue breeding risk warning according to the numerical comparison results.

[0011] Furthermore, the environmental data module acquires the farm environmental monitoring data, as follows:

[0012] Obtaining basic data of the breeding farm, marking the breeding farm into a number of breeding sub-sites according to the basic data of the breeding farm, and randomly selecting a breeding sub-site from the marked multiple breeding sub-sites as a target breeding sub-site to obtain regional division data;

[0013] Monitor the environmental temperature of the target breeding sub-site and obtain the temperature monitoring coefficient corresponding to the target breeding sub-site;

[0014] Repeat the process of obtaining the temperature monitoring coefficient corresponding to the target breeding sub-site, respectively obtain the temperature monitoring coefficient corresponding to each breeding sub-site, and obtain multiple temperature monitoring coefficients;

[0015] Monitor the environmental humidity of the target breeding sub-site and obtain the humidity monitoring coefficient corresponding to the target breeding sub-site;

[0016] Repeat the process of obtaining the humidity monitoring coefficient corresponding to the target breeding sub-site, respectively obtain the humidity monitoring coefficient corresponding to each breeding sub-site, and obtain multiple humidity monitoring coefficients;

[0017] The area division data, multiple temperature monitoring coefficients and multiple humidity monitoring coefficients are defined as farm environment monitoring data.

[0018] Furthermore, the environmental data module obtains the temperature monitoring coefficient corresponding to the target breeding sub-site, as follows:

[0019] In the process of monitoring the environmental temperature of the target breeding sub-site, the time value corresponding to the current moment is marked as the first temperature characteristic time point, the temperature monitoring time before the first temperature characteristic time point is marked as the second temperature characteristic time point, and the time period between the first temperature characteristic time point and the second temperature characteristic time point is marked as the environmental temperature monitoring period;

[0020] In the environmental temperature monitoring cycle, w temperature monitoring time points with the same time interval are marked, and the w marked temperature monitoring time points are named as the first temperature monitoring time point to the wth temperature monitoring time point in chronological order;

[0021] Acquire the ambient temperature values ​​corresponding to the first temperature monitoring time point to the wth temperature monitoring time point of the target breeding sub-site respectively, and obtain the first ambient temperature value to the wth ambient temperature value;

[0022] Calculate the average of the first to wth ambient temperature values ​​to obtain a period average temperature value, obtain the reference temperature value of the target breeding sub-site during the ambient temperature monitoring period, and obtain the period reference temperature value;

[0023] Calculate the difference between the period average temperature value and the period reference temperature value, and take the absolute value of the obtained difference to obtain the period ambient temperature reference deviation;

[0024] Compare the values ​​of the first ambient temperature value to the wth ambient temperature value, mark the ambient temperature value with the largest value as the cycle peak ambient temperature value, mark the ambient temperature value with the smallest value as the cycle valley ambient temperature value, calculate the difference between the cycle peak ambient temperature value and the cycle valley ambient temperature value, and take the absolute value of the obtained difference to obtain the cycle ambient temperature peak-valley difference;

[0025] Obtain the temperature time change rate corresponding to the ambient temperature monitoring period;

[0026] The temperature monitoring coefficient corresponding to the target breeding sub-site is obtained by calculating the periodic baseline temperature value, the periodic ambient temperature peak-to-valley difference and the temperature time change rate;

[0027] Calculate the temperature monitoring coefficient corresponding to the target breeding sub-site.

[0028] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0029] 1. The present invention performs breeding risk analysis on breeding sub-sites by respectively obtaining temperature monitoring coefficients, humidity monitoring coefficients and pest and disease monitoring coefficients, which can effectively improve the comprehensiveness of the analysis process and the accuracy of the early warning results;

[0030] 2. The present invention performs environmental monitoring by analyzing the peak-to-valley difference and time change rate of temperature and humidity data, which can effectively improve the application efficiency and utilization value of temperature and humidity data and provide guarantee for the accuracy of safety management results. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0032] Figure 1 is the overall system block diagram of the present invention;

[0033] Figure 2 The rectangular coordinate system of the temperature-time variation plane of the present invention;

[0034] Figure 3 It is the rectangular coordinate system of the humidity time variation plane of the present invention. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, 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.

[0036] Embodiment 1

[0037] See also Figure 1 , the present invention provides a technical solution: a farm biosafety management system, comprising an environmental data module, a biological data module, a data analysis module, a breeding risk module and a server, wherein the environmental data module, the biological data module, the data analysis module and the breeding risk module are respectively connected to the server, and the server controls the environmental data module, the biological data module, the data analysis module and the breeding risk module respectively;

[0038] The environmental data module divides the farm into several breeding sub-sites to obtain regional division data, monitors the environmental temperature of each breeding sub-site respectively to obtain multiple temperature monitoring coefficients, monitors the environmental humidity of each breeding sub-site respectively to obtain multiple humidity monitoring coefficients, and defines the regional division data, multiple temperature monitoring coefficients and multiple humidity monitoring coefficients as farm environmental monitoring data;

[0039] Obtaining basic data of the breeding farm, marking the breeding farm into a number of breeding sub-sites according to the basic data of the breeding farm, and randomly selecting a breeding sub-site from the marked multiple breeding sub-sites as a target breeding sub-site to obtain regional division data;

[0040] It should be noted here that:

[0041] In this application, the breeding method corresponding to the breeding farm is confinement, and each breeding sub-site involved here corresponds to a breeding pen;

[0042] Monitor the environmental temperature of the target breeding sub-site and obtain the temperature monitoring coefficient corresponding to the target breeding sub-site;

[0043] The details are as follows:

[0044] In the process of monitoring the environmental temperature of the target breeding sub-site, the time value corresponding to the current moment is marked as the first temperature characteristic time point, the temperature monitoring time before the first temperature characteristic time point is marked as the second temperature characteristic time point, and the time period between the first temperature characteristic time point and the second temperature characteristic time point is marked as the environmental temperature monitoring period;

[0045] It should be noted here that:

[0046] In this application, the temperature monitoring duration is specifically 24 hours;

[0047] In the present application, as the time value corresponding to the current moment changes, the first temperature characteristic time point and the second temperature characteristic time point also change accordingly, thereby realizing the dynamic update of the ambient temperature monitoring cycle;

[0048] In the environmental temperature monitoring cycle, w temperature monitoring time points with the same time interval are marked, and the w marked temperature monitoring time points are named as the first temperature monitoring time point to the wth temperature monitoring time point in chronological order;

[0049] It should be noted here that:

[0050] In this application, w is the ambient temperature monitoring period, the quantity value corresponding to the temperature monitoring time point, and w is an integer greater than 0;

[0051] Acquire the ambient temperature values ​​corresponding to the first temperature monitoring time point to the wth temperature monitoring time point of the target breeding sub-site respectively, and obtain the first ambient temperature value to the wth ambient temperature value;

[0052] Calculate the average of the first to wth ambient temperature values ​​to obtain a period average temperature value, obtain the reference temperature value of the target breeding sub-site during the ambient temperature monitoring period, and obtain the period reference temperature value;

[0053] Calculate the difference between the period average temperature value and the period reference temperature value, and take the absolute value of the obtained difference to obtain the period ambient temperature reference deviation;

[0054] Compare the values ​​of the first ambient temperature value to the wth ambient temperature value, mark the ambient temperature value with the largest value as the cycle peak ambient temperature value, mark the ambient temperature value with the smallest value as the cycle valley ambient temperature value, calculate the difference between the cycle peak ambient temperature value and the cycle valley ambient temperature value, and take the absolute value of the obtained difference to obtain the cycle ambient temperature peak-valley difference;

[0055] It should be noted here that:

[0056] In this application, there may be multiple ambient temperature values ​​with the largest value and multiple ambient temperature values ​​with the smallest value listed in parallel;

[0057] Obtain the temperature time change rate corresponding to the ambient temperature monitoring period;

[0058] The details are as follows:

[0059] Mark a characteristic temperature values ​​within a single temperature change cycle between the cycle valley value ambient temperature value and the cycle peak value ambient temperature value, and the temperature difference between every two consecutive characteristic temperature values ​​is the same, and the marked a characteristic temperature values ​​are named from the first temperature characteristic value to the ath temperature characteristic value in order from small to large values;

[0060] It should be noted here that:

[0061] The a involved here is the quantity value corresponding to the temperature characteristic value, and a is an integer greater than 0;

[0062] The single temperature change cycle involved here is specifically a temperature continuous rising cycle or a temperature continuous falling cycle;

[0063] The time value of the first temperature characteristic value is acquired to obtain the first temperature characteristic time value, the time value of the second temperature characteristic value is acquired to obtain the second temperature characteristic time value, and so on, the time value of the a-th temperature characteristic value is acquired to obtain the a-th temperature characteristic time value;

[0064] See also Figure 2 In the existing plane rectangular coordinate system model, the temperature characteristic value is marked as the coordinate x-axis, and the temperature characteristic time value is marked as the coordinate Y-axis, so as to obtain the temperature-time variation plane rectangular coordinate system;

[0065] In the rectangular coordinate system of the temperature-time variation plane, the first temperature characteristic value is set as the abscissa point, the first temperature characteristic time value is set as the ordinate point, and the first temperature coordinate point is obtained; the second temperature characteristic value is set as the abscissa point, the second temperature characteristic time value is set as the ordinate point, and the second temperature coordinate point is obtained; and so on, the ath temperature characteristic value is set as the abscissa point, the ath temperature characteristic time value is set as the ordinate point, and the ath temperature coordinate point is obtained;

[0066] Mark the first temperature coordinate point to the ath temperature coordinate point in the rectangular coordinate system of the temperature-time variation plane respectively, and connect the first temperature coordinate point to the ath temperature coordinate point in sequence;

[0067] The connection line between the first temperature coordinate point and the second temperature coordinate point is marked as the first temperature connection line, the connection line between the second temperature coordinate point and the third temperature coordinate point is marked as the second temperature connection line, and so on, the connection line between the a-1th temperature coordinate point and the ath temperature coordinate point is marked as the a-1th temperature connection line;

[0068] Obtain the line slopes of the first temperature line to the a-1th temperature line respectively, obtain a-1 line slope values, and average the obtained a-1 line slope values ​​to obtain the temperature time change rate corresponding to the ambient temperature monitoring period;

[0069] The temperature monitoring coefficient corresponding to the target breeding sub-site is obtained by calculating the periodic baseline temperature value, the periodic ambient temperature peak-to-valley difference and the temperature time change rate;

[0070] Calculate the temperature monitoring coefficient corresponding to the target breeding sub-site. The specific formula is as follows:

[0071] Wjx=Wdj+Wfg+Wsl;

[0072] Among them, Wjx is the temperature monitoring coefficient corresponding to the target breeding sub-site, Wdj is the periodic reference temperature value, Wfg is the periodic environmental temperature peak-to-valley difference, and Ws l is the temperature time change rate;

[0073] Repeat the process of obtaining the temperature monitoring coefficient corresponding to the target breeding sub-site, respectively obtain the temperature monitoring coefficient corresponding to each breeding sub-site, and obtain multiple temperature monitoring coefficients;

[0074] Monitor the environmental humidity of the target breeding sub-site and obtain the humidity monitoring coefficient corresponding to the target breeding sub-site;

[0075] The details are as follows:

[0076] In the process of monitoring the environmental humidity of the target breeding sub-site, the time value corresponding to the current moment is marked as the first humidity characteristic time point, the humidity monitoring time before the first humidity characteristic time point is marked as the second humidity characteristic time point, and the time period between the first humidity characteristic time point and the second humidity characteristic time point is marked as the environmental humidity monitoring period;

[0077] It should be noted here that:

[0078] In this application, the humidity monitoring duration is specifically 24 hours;

[0079] In the present application, as the time value corresponding to the current moment changes, the first humidity characteristic time point and the second humidity characteristic time point also change accordingly, thereby realizing the dynamic update of the environmental humidity monitoring cycle;

[0080] In the environmental humidity monitoring cycle, s humidity monitoring time points with the same time interval are marked, and the marked s humidity monitoring time points are named as the first humidity monitoring time point to the sth humidity monitoring time point in chronological order;

[0081] It should be noted here that:

[0082] In this application, s is the environmental humidity monitoring period, the quantity value corresponding to the humidity monitoring time point, and s is an integer greater than 0;

[0083] Acquire the ambient humidity values ​​corresponding to the first humidity monitoring time point to the sth humidity monitoring time point of the target breeding sub-site respectively, and obtain the first ambient humidity value to the sth ambient humidity value;

[0084] Calculate the average of the first environmental humidity value to the sth environmental humidity value to obtain a period average humidity value, obtain a reference humidity value of the target breeding sub-site during the environmental humidity monitoring period, and obtain a period reference humidity value;

[0085] Calculate the difference between the period average humidity value and the period reference humidity value, and take the absolute value of the difference to obtain the period environmental humidity reference deviation;

[0086] Compare the values ​​of the first ambient humidity value to the sth ambient humidity value, mark the ambient humidity value with the largest value as the periodic peak ambient humidity value, mark the ambient humidity value with the smallest value as the periodic valley ambient humidity value, calculate the difference between the periodic peak ambient humidity value and the periodic valley ambient humidity value, and take the absolute value of the obtained difference to obtain the periodic ambient humidity peak-valley difference;

[0087] It should be noted here that:

[0088] In this application, there may be multiple maximum ambient humidity values ​​and multiple minimum ambient humidity values ​​listed in parallel;

[0089] Obtain the humidity time change rate corresponding to the environmental humidity monitoring period;

[0090] The details are as follows:

[0091] Mark b characteristic humidity values ​​within a single humidity change cycle between the cycle valley value and the cycle peak value, and the temperature difference between every two consecutive characteristic humidity values ​​is the same, and name the marked b characteristic humidity values ​​from the first humidity characteristic value to the bth humidity characteristic value in order from small to large;

[0092] It should be noted here that:

[0093] The b involved here is the quantity value corresponding to the humidity characteristic value, and b is an integer greater than 0;

[0094] The single humidity change cycle involved here is specifically a humidity continuous rising cycle or a humidity continuous falling cycle;

[0095] The time value of the first humidity characteristic value is acquired to obtain the first humidity characteristic time value, the time value of the second humidity characteristic value is acquired to obtain the second humidity characteristic time value, and so on, the time value of the bth humidity characteristic value is acquired to obtain the bth humidity characteristic time value;

[0096] See also Figure 3 , in the existing plane rectangular coordinate system model, the humidity characteristic value is marked as the coordinate x-axis, and the humidity characteristic time value is marked as the coordinate Y-axis, and the humidity time change plane rectangular coordinate system is obtained;

[0097] In the rectangular coordinate system of the humidity time variation plane, the first humidity characteristic value is set as the abscissa point, the first humidity characteristic time value is set as the ordinate point, and the first humidity coordinate point is obtained; the second humidity characteristic value is set as the abscissa point, the second humidity characteristic time value is set as the ordinate point, and the second humidity coordinate point is obtained; and so on, the bth humidity characteristic value is set as the abscissa point, the bth humidity characteristic time value is set as the ordinate point, and the bth humidity coordinate point is obtained;

[0098] Mark the first humidity coordinate point to the bth humidity coordinate point in the rectangular coordinate system of the humidity time variation plane respectively, and connect the first humidity coordinate point to the bth humidity coordinate point in sequence;

[0099] The line between the first humidity coordinate point and the second humidity coordinate point is marked as the first humidity line, the line between the second humidity coordinate point and the third humidity coordinate point is marked as the second humidity line, and so on, the line between the b-1 humidity coordinate point and the b humidity coordinate point is marked as the b-1 humidity line;

[0100] Obtain the line slopes of the first humidity line to the b-1th humidity line respectively, obtain b-1 line slope values, and average the obtained b-1 line slope values ​​to obtain the humidity time change rate corresponding to the environmental humidity monitoring period;

[0101] The humidity monitoring coefficient corresponding to the target breeding sub-site is obtained by calculating the periodic baseline humidity value, the periodic environmental humidity peak-to-valley difference and the humidity time change rate;

[0102] Calculate the humidity monitoring coefficient corresponding to the target breeding sub-site. The specific formula is as follows:

[0103] Sjx=Sdj+Sfg+Ssl;

[0104] Among them, Sjx is the humidity monitoring coefficient corresponding to the target breeding sub-site, Sdj is the periodic baseline humidity value, Sfg is the periodic environmental humidity peak-to-valley difference, and Ss l is the humidity time change rate;

[0105] Repeat the process of obtaining the humidity monitoring coefficient corresponding to the target breeding sub-site, respectively obtain the humidity monitoring coefficient corresponding to each breeding sub-site, and obtain multiple humidity monitoring coefficients;

[0106] The regional division data, multiple temperature monitoring coefficients and multiple humidity monitoring coefficients are defined as farm environment monitoring data;

[0107] The environmental data module acquires the farm environmental monitoring data and transmits it to the biological data module;

[0108] The biological data module monitors biological pests and diseases for each breeding sub-site according to the farm environmental monitoring data, obtains the site pest and disease monitoring coefficient corresponding to each breeding sub-site according to the monitoring results, and obtains the biological monitoring data of the farm;

[0109] Acquire farm environmental monitoring data, acquire regional division data based on the farm environmental monitoring data, and acquire multiple breeding sub-sites and target breeding sub-sites based on the regional division data;

[0110] Conduct biological pest monitoring on the target breeding sub-site to obtain the site pest monitoring coefficient corresponding to the target breeding sub-site;

[0111] The details are as follows:

[0112] In the process of biological pest monitoring in the target breeding sub-site, c kinds of characteristic pests and diseases are set according to the existing breeding experience, and the set c kinds of characteristic pests and diseases are named as the first characteristic pest and disease to the cth characteristic pest and disease respectively;

[0113] It should be noted here that:

[0114] In this application, c is the quantity value corresponding to the characteristic pest, and c is an integer greater than 0;

[0115] In the present application, the first characteristic pests and diseases involved herein may be mites, the second characteristic pests and diseases may be lice, and the third characteristic pests and diseases may be gadflies;

[0116] Obtain the number of cultured organisms in the target culture sub-site to obtain the total number of cultured organisms;

[0117] It should be noted here that:

[0118] In this application, the farmed organisms referred to herein are specifically the target farmed organisms.

[0119] Conduct a first characteristic pest inspection on each farmed organism in the target breeding sub-site, obtain the number of farmed organisms infected with the first characteristic pest in the target breeding sub-site, obtain the first characteristic infection number value, calculate the ratio of the first characteristic infection number value to the total number of farmed organisms, obtain the pest occurrence ratio corresponding to the first characteristic pest, and obtain the first pest occurrence ratio;

[0120] Repeat the process of obtaining the first pest occurrence ratio, and obtain the second pest occurrence ratio to the cth pest occurrence ratio respectively;

[0121] In the target breeding sub-site, a number of site areas with characteristic pest areas are randomly marked, and the number of first characteristic pests and diseases in each site area is obtained to obtain a plurality of first pest area quantity values, and the plurality of first pest area quantity values ​​obtained are averaged to obtain an average first pest area quantity value;

[0122] The area value of the characteristic area of ​​the pest is obtained to obtain the area value of the characteristic area of ​​the pest, and the ratio of the average number value of the first pest area to the area value of the characteristic area of ​​the pest is calculated to obtain the first pest density value;

[0123] Repeat the process of obtaining the first pest density value, and obtain the second pest density value to the cth pest density value respectively;

[0124] The site pest and disease monitoring coefficient corresponding to the target breeding sub-site is obtained by calculating the first pest occurrence ratio to the cth pest occurrence ratio and the first pest density value to the cth pest density value;

[0125] The site pest and disease monitoring coefficient corresponding to the target breeding sub-site is calculated. The specific formula is as follows:

[0126] Chx=Fsb1×Mdz1+Fsb2×Mdz2+……+Fsbc×Mdzc;

[0127] Among them, Chx is the site pest monitoring coefficient corresponding to the target breeding sub-site, Fsb1 to Fsbc are the first pest occurrence ratio to the cth pest occurrence ratio, Mdz1 to Mdzc are the first pest density value to the cth pest density value;

[0128] Repeat the process of obtaining the site pest and disease monitoring coefficient corresponding to the target breeding sub-site, obtain the site pest and disease monitoring coefficient corresponding to each breeding sub-site respectively, and obtain multiple site pest and disease monitoring coefficients;

[0129] The pest and disease monitoring coefficients of multiple sites were defined as the biological monitoring data of the farms;

[0130] The biological data module acquires the biological monitoring data of the farm and transmits it to the breeding risk module;

[0131] The breeding risk module obtains the breeding risk assessment coefficient corresponding to each breeding sub-site based on the analysis of the breeding farm environmental monitoring data and the breeding farm biological monitoring data, obtains the breeding risk assessment coefficient threshold and compares it with the breeding risk assessment coefficient corresponding to each breeding sub-site, and issues breeding risk warnings based on the numerical comparison results;

[0132] Obtain the farm environmental monitoring data, and obtain the temperature monitoring coefficient and humidity monitoring coefficient corresponding to each breeding sub-site based on the farm environmental monitoring data;

[0133] Obtain the biological monitoring data of the breeding farm, and obtain the site pest and disease monitoring coefficient corresponding to each breeding sub-site based on the biological monitoring data of the breeding farm;

[0134] The site pest and disease monitoring coefficient, temperature monitoring coefficient and humidity monitoring coefficient corresponding to the same breeding sub-site are calculated to obtain the breeding risk assessment coefficient;

[0135] The aquaculture risk assessment coefficient is calculated using the following formula:

[0136] Yfx=Chx 2 +Sjx+Wjx;

[0137] Among them, Yfx is the breeding risk assessment coefficient, Chx is the site pest monitoring coefficient, Sjx is the humidity monitoring coefficient, and Wjx is the temperature monitoring coefficient;

[0138] Obtaining a breeding risk assessment coefficient threshold, comparing the breeding risk assessment coefficient threshold with the breeding risk assessment coefficient corresponding to each breeding sub-site, and issuing a breeding risk warning based on the numerical comparison result;

[0139] The details are as follows:

[0140] The threshold values ​​of the monitoring coefficient of plant diseases and insect pests, the temperature monitoring coefficient and the humidity monitoring coefficient are obtained respectively, and the threshold value of the breeding risk assessment coefficient is obtained by calculation;

[0141] It should be noted here that:

[0142] In the present application, the site pest monitoring coefficient threshold, temperature monitoring coefficient threshold and humidity monitoring coefficient threshold involved here are respectively the maximum site pest monitoring coefficient, maximum temperature monitoring coefficient and maximum humidity monitoring coefficient corresponding to the breeding sub-site for real-time breeding risk monitoring;

[0143] The threshold of the breeding risk assessment coefficient is obtained by calculating the threshold of the site pest and disease monitoring coefficient, the threshold of the temperature monitoring coefficient and the threshold of the humidity monitoring coefficient;

[0144] The threshold of the aquaculture risk assessment coefficient is calculated using the following formula:

[0145] Yfxy=Chxy 2 +Sjxy+Wjxy;

[0146] Among them, Yfxy is the breeding risk assessment coefficient threshold, Chxy is the site pest monitoring coefficient threshold, Sjxy is the humidity monitoring coefficient threshold, and Wjxy is the temperature monitoring coefficient threshold;

[0147] The numerical comparison is as follows:

[0148] When the breeding risk assessment coefficient is greater than or equal to the breeding risk assessment coefficient threshold, a breeding risk warning is issued to the corresponding breeding sub-site;

[0149] When the breeding risk assessment coefficient is less than the breeding risk assessment coefficient threshold, the corresponding breeding sub-site is subject to real-time breeding risk monitoring;

[0150] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0151] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A biosafety management system for a breeding farm, characterized in that: The specific working process of each module is as follows: Environmental data module: used to divide the farm into several breeding sub-sites, obtain regional division data, monitor the environmental temperature of each breeding sub-site respectively, obtain multiple temperature monitoring coefficients, monitor the environmental humidity of each breeding sub-site respectively, obtain multiple humidity monitoring coefficients, and define the regional division data, multiple temperature monitoring coefficients and multiple humidity monitoring coefficients as farm environmental monitoring data; Biological data module: used to monitor biological pests and diseases in each breeding sub-site according to the environmental monitoring data of the breeding farm, obtain the site pest and disease monitoring coefficient corresponding to each breeding sub-site according to the monitoring results, and obtain the biological monitoring data of the breeding farm; Breeding risk module: used to obtain the breeding risk assessment coefficient corresponding to each breeding sub-site according to the analysis of the breeding farm environmental monitoring data and the breeding farm biological monitoring data, and obtain the breeding risk assessment coefficient threshold and compare it with the breeding risk assessment coefficient corresponding to each breeding sub-site, and issue breeding risk warning according to the numerical comparison results.

2. A farm biosafety management system according to claim 1, characterized in that: The environmental data module acquires the farm environmental monitoring data, as follows: Marking the breeding farm into a number of breeding sub-sites, and randomly selecting a breeding sub-site from the marked multiple breeding sub-sites as a target breeding sub-site to obtain regional division data; The environmental temperature of the target breeding sub-site is monitored to obtain the temperature monitoring coefficient corresponding to the target breeding sub-site.

3. A farm biosafety management system according to claim 2, characterized in that: The environmental data module acquires the farm environmental monitoring data, as follows: Repeat the process of obtaining the temperature monitoring coefficient corresponding to the target breeding sub-site, respectively obtain the temperature monitoring coefficient corresponding to each breeding sub-site, and obtain multiple temperature monitoring coefficients; The environmental humidity of the target breeding sub-site is monitored to obtain the humidity monitoring coefficient corresponding to the target breeding sub-site.

4. A farm biosafety management system according to claim 3, characterized in that: The environmental data module acquires the farm environmental monitoring data, as follows: Repeat the process of obtaining the humidity monitoring coefficient corresponding to the target breeding sub-site, respectively obtain the humidity monitoring coefficient corresponding to each breeding sub-site, and obtain multiple humidity monitoring coefficients; The area division data, multiple temperature monitoring coefficients and multiple humidity monitoring coefficients are defined as farm environment monitoring data.

5. A farm biosafety management system according to claim 4, characterized in that: The environmental data module obtains the temperature monitoring coefficient corresponding to the target breeding sub-site, as follows: In the process of monitoring the environmental temperature of the target breeding sub-site, the time value corresponding to the current moment is marked as the first temperature characteristic time point, the temperature monitoring time before the first temperature characteristic time point is marked as the second temperature characteristic time point, and the time period between the first temperature characteristic time point and the second temperature characteristic time point is marked as the environmental temperature monitoring period.

6. A farm biosafety management system according to claim 5, characterized in that: The environmental data module obtains the temperature monitoring coefficient corresponding to the target breeding sub-site, as follows: In the environmental temperature monitoring cycle, w temperature monitoring time points with the same time interval are marked, and the w marked temperature monitoring time points are named as the first temperature monitoring time point to the wth temperature monitoring time point in chronological order; The ambient temperature values ​​corresponding to the first temperature monitoring time point to the wth temperature monitoring time point of the target breeding sub-site are respectively acquired to obtain the first ambient temperature value to the wth ambient temperature value.

7. A farm biosafety management system according to claim 6, characterized in that: The environmental data module obtains the temperature monitoring coefficient corresponding to the target breeding sub-site, as follows: Calculate the average of the first ambient temperature value to the wth ambient temperature value to obtain the period average temperature value, obtain the reference temperature value of the target breeding sub-site during the ambient temperature monitoring period, and obtain the period reference temperature value; Calculate the difference between the cycle average temperature value and the cycle reference temperature value, and take the absolute value of the difference to obtain the cycle ambient temperature reference deviation.

8. A farm biosafety management system according to claim 7, characterized in that: The environmental data module obtains the temperature monitoring coefficient corresponding to the target breeding sub-site, as follows: Compare the values ​​of the first ambient temperature value to the wth ambient temperature value, mark the ambient temperature value with the largest value as the cycle peak ambient temperature value, mark the ambient temperature value with the smallest value as the cycle valley ambient temperature value, calculate the difference between the cycle peak ambient temperature value and the cycle valley ambient temperature value, and take the absolute value of the obtained difference to obtain the cycle ambient temperature peak-valley difference; The temperature time change rate corresponding to the ambient temperature monitoring period is obtained.

9. A farm biosafety management system according to claim 8, characterized in that: The environmental data module obtains the temperature monitoring coefficient corresponding to the target breeding sub-site, as follows: The temperature monitoring coefficient corresponding to the target breeding sub-site is obtained by calculating the periodic baseline temperature value, the periodic ambient temperature peak-to-valley difference and the temperature time change rate; Calculate the temperature monitoring coefficient corresponding to the target breeding sub-site.

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