Laying hen breeding environment monitoring system

Abstract

The invention discloses a laying hen breeding environment monitoring system, which relates to the technical field of environment monitoring, and is characterized in that a monitoring data analysis module is arranged to analyze monitoring values of all environmental parameters in a laying hen breeding area, and a plurality of first analysis data and second analysis data of each environmental parameter are screened out; determining a plurality of upper limit correlation parameters and upper limit correlation grades of the upper limit correlation parameters and lower limit correlation parameters and lower limit correlation grades of the lower limit correlation parameters of each environment parameter, and setting an environment monitoring optimization unit to adjust acquisition frequencies of the plurality of upper limit correlation parameters and the plurality of lower limit correlation parameters of the environment parameters with monitoring values exceeding a safety upper limit threshold value or a safety lower limit threshold value; in this way, it is guaranteed that when the monitoring value of a certain environmental parameter changes greatly, the monitoring values of the other environmental parameters which change obviously can be collected in time and fed back to management personnel, and the management personnel can monitor the laying hen breeding environment more accurately.

Description

Technical Field

[0001] The invention relates to the technical field of environmental monitoring, and in particular to an egg-laying chicken breeding environment monitoring system. Background Art

[0002] With the large-scale and intensive development of my country's egg-laying chicken farming industry, how to ensure the healthy growth of egg-laying chickens and improve their egg-laying performance has become the focus of the industry. The growth and egg-laying performance of egg-laying chickens are extremely sensitive to the breeding environment. Slight fluctuations in environmental factors such as temperature, humidity, light intensity, and concentration of harmful gases may have a significant impact on the physiological state of egg-laying chickens, thereby affecting the production and quality of eggs. A current laying hen breeding environment monitoring system adopts a strategy of setting different collection frequencies for different monitoring parameters. For example, for relatively stable and slowly changing parameters, such as light intensity, a lower collection frequency can be set, which can not only meet the monitoring needs of its basic status, but also reduce the data processing and storage burden of the system; while for parameters that change relatively frequently and have a greater impact on the health of laying hens, such as temperature, a higher collection frequency will be set so that subtle fluctuations in temperature can be detected in time; However, in the actual breeding process, when a certain environmental parameter changes significantly, several environmental devices in the laying hen breeding area will be started to drive the environmental parameter to remain constant, and the start of the environmental devices will often cause several other environmental parameters to change significantly. Take temperature as an example. During the high temperature period in summer, the monitoring system detects that the temperature exceeds the appropriate range and starts the cooling equipment (such as water curtains, fans, etc.) for adjustment. At this time, if the other environmental parameters that have changed significantly are still collected according to the originally set collection frequency, it will not be possible to timely and accurately reflect the situation where these environmental parameters have changed significantly, which may cause farmers to be unable to accurately grasp the real situation of the breeding environment, resulting in inaccurate monitoring of the laying hen breeding environment; In order to solve the above problems, the present invention proposes a solution. Summary of the invention

[0003] The purpose of the present invention is to provide a laying hen breeding environment monitoring system to solve the problems raised in the above-mentioned background technology.

[0004] The present invention provides a laying hen breeding environment monitoring system, comprising: An environmental monitoring and acquisition module is used to collect monitoring values ​​of several environmental parameters in the laying hen breeding area. The environmental monitoring and acquisition module includes several environmental monitoring units, one of which corresponds to one environmental parameter in the laying hen breeding area, and one of which pre-stores the acquisition frequency of the corresponding environmental parameter; An environmental monitoring optimization module is used to compare the monitoring value of an environmental parameter in the egg-laying chicken breeding area with the upper safety threshold and the lower safety threshold of the environmental parameter after receiving the monitoring value of the environmental parameter, and select and generate a change monitoring optimization strategy for all upper limit associated parameters or all lower limit associated parameters of the environmental parameter related to the environmental parameter based on the comparison result; The environmental monitoring unit is used to collect the monitoring values ​​of the corresponding environmental parameters in a subsequent time period of P8 starting from the current moment according to the collection frequency contained therein after receiving a change monitoring optimization strategy, where P8 is a preset standard change monitoring time; The monitoring data analysis module is used to analyze the monitoring data of all environmental parameters in the laying hen breeding area in the past t collection cycles to obtain all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters in the laying hen breeding area.

[0005] Furthermore, the environmental parameters include temperature, humidity, illumination, carbon dioxide concentration, ammonia concentration, hydrogen sulfide concentration, methane concentration, dust concentration and noise intensity.

[0006] Further, the steps of analyzing and obtaining all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters in the laying hen breeding area are as follows: S11: Randomly select an environmental parameter from all environmental parameters in the laying hen breeding area as the parameter to be analyzed, and mark t collection periods as A1, A2, ..., At respectively; S12: All first analysis data and second analysis data of the parameter to be analyzed are obtained by screening the monitoring data of the parameter to be analyzed in t collection cycles according to a preset screening rule. The screening rule is as follows: S121: Mark all monitoring values ​​of the parameter to be analyzed contained in the monitoring data of the collection period A1 as B1, B2, ..., Bb in sequence according to the order of collection time, where b≥1; S122: Calculate the full range C1 of the monitoring values ​​B1, B2, ..., Bb using the formula C1=Bmax-Bmin, where Bmax and Bmin are the maximum and minimum values ​​of the monitoring values ​​B1, B2, ..., Bb, respectively; S123: Compare C1 and C. If C1≤C, stop executing steps S124-S125 and directly execute step S126. Otherwise, execute steps S124-S126 in sequence. C is the preset global condition recognition amount. S124: temporarily selecting Bmax as the analysis value of the parameter to be analyzed in the collection period A1, and judging whether the monitoring data of the collection period A1 meets the preset first analysis standard according to the preset first judgment rule based on the analysis value; S125: If the monitoring data of the collection period A1 does not meet the preset first analysis standard, select Bmin as the analysis value of the parameter to be analyzed in the collection period A1, and determine whether the monitoring data of the collection period A1 meets the preset second analysis standard according to the analysis value and the preset second determination rule; S126: determining whether the monitoring data of the parameter to be analyzed in the collection periods A2, A3, ..., At meet the preset first analysis standard and second analysis standard in the order of collection periods A1, A2, ..., At, and obtaining all the first analysis data and second analysis data of the parameter to be analyzed; S13: Acquire several upper limit associated parameters of the parameter to be analyzed and their upper limit associated ratings according to a preset first acquisition rule and in combination with all first analysis data of the parameter to be analyzed; S14: Acquire several lower limit associated parameters of the parameter to be analyzed and their lower limit associated ratings according to a preset second acquisition rule and in combination with all second analysis data of the parameter to be analyzed; S15: Select all environmental parameters of the laying hen breeding area in turn as parameters to be analyzed, and obtain all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters in the laying hen breeding area according to S12 to S14.

[0007] Further, if the monitoring value is less than or equal to the safety lower limit threshold, all lower limit associated parameters of the environmental parameter and their lower limit associated ratings are first obtained, and then for each lower limit associated parameter obtained, according to the lower limit associated rating of the lower limit associated parameter obtained, the collection frequency of the collection monitoring value of the lower limit associated parameter within the preset optimization collection period is adjusted, as follows: If the lower limit association rating is level 1, the lower limit association parameter is adjusted to have a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the calculation formula is Z1=X1*Y1, where X1 is the current collection frequency of the lower limit association parameter; if the lower limit association rating is level 2, the lower limit association parameter is adjusted to have a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the calculation formula is Z1=X1*Y2; if the lower limit association rating is level 3, the lower limit association parameter is adjusted to have a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the value of Z1 is 1 at this time; An optimization strategy for monitoring changes of the lower limit associated parameter with respect to the environmental parameter is generated according to the acquisition frequency Z1, and Y1 and Y2 are optimization factors of the preset lower limit associated ratings 1 and 2, respectively.

[0008] Compared with the prior art, it has the following beneficial effects: The present invention analyzes the monitoring values ​​of all environmental parameters in the laying hen breeding area by setting a monitoring data analysis module to obtain a plurality of first analysis data and second analysis data of each environmental parameter screened out therefrom, and determines a plurality of upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of each environmental parameter by further analyzing the first analysis data and the second analysis data, and sets an environmental monitoring optimization unit to determine the collection frequency in a subsequent period of time by the associated ratings of the plurality of upper limit associated parameters and the plurality of lower limit associated parameters of the environmental parameters whose monitoring values ​​exceed a preset upper safety upper limit threshold and a preset lower safety lower limit threshold, and collects the corresponding environmental parameters according to the determined collection frequency, and in this way ensures that when the monitoring value of a certain environmental parameter changes significantly, the monitoring values ​​of the remaining environmental parameters that will show relatively obvious changes can be timely collected and fed back to the management personnel, so that the management personnel can monitor the laying hen breeding environment more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0010] 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.

[0011] See also Figure 1 , the present application provides a laying hen breeding environment monitoring system, including an environment monitoring collection module, an environment monitoring optimization module, a monitoring data analysis module, and a central control monitoring platform; The environmental monitoring and acquisition module is used to collect monitoring values ​​of several environmental parameters in the laying hen breeding area. The environmental parameters in this application include temperature, humidity, light intensity, carbon dioxide concentration, ammonia concentration, hydrogen sulfide concentration, methane concentration, dust concentration and noise intensity; The environmental monitoring and collection module includes a plurality of environmental monitoring units, one of which corresponds to monitoring an environmental parameter in the laying hen breeding area, and one of which pre-stores a collection frequency of the corresponding environmental parameter, and the initial collection frequency is pre-set by the management personnel according to the importance of the corresponding environmental parameter and the environment in the laying hen breeding area; In this application, the monitoring values ​​of various environmental parameters in the laying hen breeding area are collected by corresponding monitoring instruments, including temperature sensors, humidity sensors, light intensity measuring instruments, carbon dioxide sensors, fixed ammonia gas concentration detectors, hydrogen sulfide detectors, methane gas detectors, dust concentration measuring instruments and noise detectors; The environmental monitoring unit collects the monitoring values ​​of the corresponding environmental parameters in the laying hen breeding area according to the pre-stored collection frequency and transmits them to the environmental monitoring optimization module and the central control monitoring platform respectively; An environmental monitoring optimization module is used to optimize the collection of monitoring values ​​of several environmental parameters in the laying hen breeding area, wherein the environmental monitoring optimization module pre-stores the upper safety threshold and the lower safety threshold of all environmental parameters in the laying hen breeding area; The environmental monitoring optimization module extracts the upper safety threshold and the lower safety threshold of the environmental parameter from the environmental monitoring optimization module after receiving the transmitted monitoring value of an environmental parameter in the laying hen breeding area, and compares the monitoring value with the extracted upper safety threshold and the lower safety threshold. If the monitoring value is less than or equal to the lower safety threshold, all lower limit associated parameters of the environmental parameter and their lower limit associated ratings are first obtained, and then for each lower limit associated parameter obtained, the acquisition frequency of the lower limit associated parameter within the preset optimization acquisition cycle is adjusted according to the lower limit associated rating of the lower limit associated parameter obtained, as follows: If the lower limit association rating is level 1, the lower limit association parameter is adjusted to have a collection frequency of Z1 in the subsequent time period of P8 from the current moment, and the calculation formula of Z1 is Z1=X1*Y1, where X1 is the current collection frequency of the lower limit association parameter and Y1 is the optimization factor of the preset lower limit association rating level 1; If the lower limit association rating is level 2, the lower limit association parameter is adjusted to a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the calculation formula of Z1 is Z1=X1*Y2, where Y2 is the optimization factor of the preset lower limit association rating level 2; If the lower limit association rating is level 3, the lower limit association parameter is adjusted to have a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the value of Z1 is 1 at this time; The environmental monitoring optimization module generates a monitoring optimization strategy for changes in the lower limit associated parameter related to the environmental parameter according to the acquisition frequency Z1; The environmental monitoring optimization module generates a change monitoring optimization strategy related to the environmental parameters for all the lower limit associated parameters of the acquired environmental parameters, and transmits it to the environmental monitoring acquisition module. The environmental monitoring acquisition module generates a change monitoring optimization strategy related to the environmental parameters according to all the received lower limit associated parameters and transmits it to the corresponding environmental monitoring unit; After receiving the transmitted lower limit associated parameter related to the change monitoring optimization strategy of the environmental parameter, the environmental monitoring unit collects the monitoring value of the lower limit parameter in the subsequent time period of P8 from the current moment according to the collection frequency contained therein, and restores the collection frequency to the initial collection frequency after P8 time, where P8 is the preset standard change monitoring time; If the monitoring value is greater than or equal to the safety upper limit threshold, first obtain all upper limit associated parameters of the environmental parameter and their upper limit associated ratings, and then adjust the collection frequency of the monitoring value of the upper limit associated parameter within the preset optimization collection period according to the upper limit associated rating of each upper limit associated parameter obtained, as follows: If the upper limit association rating is level 1, the upper limit association parameter is adjusted to have a collection frequency of Z2 in the subsequent time period of P8 from the current moment, and the calculation formula of Z2 is Z2=X2*Y3, where X2 is the current collection frequency of the upper limit association parameter, and Y3 is the optimization factor of the preset upper limit association rating level 1; If the upper limit association rating is level 2, the upper limit association parameter is adjusted to a collection frequency of Z2 in a subsequent time period of P8 from the current moment, and the calculation formula of Z2 is Z2=X2*Y4, where Y4 is the optimization factor of the preset upper limit association rating level 2; If the upper limit association rating is level 3, the upper limit association parameter is adjusted to a collection frequency of Z2 in a subsequent time period of P8 from the current moment, and the value of Z2 is 1 at this time; The environmental monitoring optimization module generates a monitoring optimization strategy for changes in the upper limit associated parameter related to the environmental parameter according to the acquisition frequency Z2; The environmental monitoring optimization module generates a change monitoring optimization strategy related to the environmental parameters for all the upper limit associated parameters of the acquired environmental parameters, and transmits it to the environmental monitoring acquisition module. The environmental monitoring acquisition module generates a change monitoring optimization strategy related to the environmental parameters according to all the received upper limit associated parameters and transmits it to the corresponding environmental monitoring unit; After receiving the transmitted upper limit associated parameter related to the change monitoring optimization strategy of the environmental parameter, the environmental monitoring unit collects the monitoring value of the upper limit parameter in the subsequent time period of P8 from the current moment according to the collection frequency contained therein, and after P8 time; If the monitoring value is greater than the lower safety threshold and less than the upper safety threshold, no processing is performed; The central control monitoring platform is used to predict the environmental quality evaluation in the laying hen breeding area, and the central control monitoring platform stores a prediction model for the environmental quality evaluation of laying hen facilities; After receiving the transmitted monitoring values ​​of all environmental parameters of the laying hen breeding area, the central control monitoring platform temporarily stores them and displays them to the management personnel; The central control monitoring platform periodically inputs the stored monitoring values ​​of all environmental parameters into the laying hen facility environmental quality evaluation prediction model to output the prediction results, and displays the prediction results to the management personnel for review; The monitoring data analysis module is used to analyze the monitoring values ​​of all environmental parameters in the laying hen breeding area. The monitoring data analysis module stores the monitoring data of all environmental parameters in the laying hen breeding area in the past t collection cycles, where t is a preset retrospective analysis scalar, and the interval length of one collection cycle is P1, where P1 is a preset collection analysis scalar; In the present application, the collection moments of all monitoring values ​​in one collection cycle are arranged continuously in chronological order, and the time intervals between adjacent collection moments are equal, which is 1 second; The monitoring data analysis module analyzes the monitoring data of all environmental parameters in the laying hen breeding area stored therein in the past t collection cycles, and the analysis steps are as follows: S11: Randomly select an environmental parameter from all environmental parameters in the laying hen breeding area as the parameter to be analyzed, and mark t collection periods as A1, A2, ..., At respectively; S12: All first analysis data and second analysis data of the parameter to be analyzed are obtained by screening the monitoring data of the parameter to be analyzed in t collection cycles according to a preset screening rule, and the screening rule is as follows: S121: Mark all monitoring values ​​of the parameter to be analyzed contained in the monitoring data of the collection period A1 as B1, B2, ..., Bb in sequence according to the order of collection time, where b≥1; S122: Calculate the full range C1 of the monitoring values ​​B1, B2, ..., Bb using the formula C1=Bmax-Bmin, where Bmax and Bmin are the maximum and minimum values ​​of the monitoring values ​​B1, B2, ..., Bb, respectively; S123: Compare C1 and C. If C1≤C, it is determined that the monitoring data of the collection period A1 does not meet the preset global analysis standard, and the execution of steps S124-S125 is stopped, and step S126 is directly executed. Otherwise, steps S124-S126 are executed in sequence, and C is the preset global condition recognition amount; S124: Temporarily select Bmax as the analysis value of the parameter to be analyzed in the collection period A1, and determine whether the monitoring data of the collection period A1 meets the preset first analysis standard according to the analysis value according to the preset first determination rule. The first determination rule is as follows: SS11: according to the collection time of the analysis value, extract all monitoring values ​​whose collection time is before the collection time of the analysis value from B1, B2, ..., Bb, and determine a number of monitoring data points according to all the extracted monitoring values ​​and their collection time, one monitoring data point corresponds to one monitoring coordinate, the value of the horizontal coordinate of the monitoring data point is the collection time, and the value of the vertical coordinate is the monitoring value; SS12: Determine the distribution type of all monitoring data points determined by all monitoring values ​​whose collection time is before the collection time of the analysis value according to the preset type determination rule. The type determination rule is as follows: Mapping the determined monitoring data points to a rectangular coordinate system, in which the horizontal coordinate is the acquisition time and the vertical coordinate is the monitoring value, and using a regression analysis method to determine the distribution type of the monitoring data points. In this application, the regression analysis method includes linear regression and polynomial regression, and the distribution type includes linear distribution and nonlinear distribution; If it is determined that the distribution type of the plurality of monitoring data points is a linear distribution, a straight line is proposed according to the determined plurality of monitoring data points by the least square method, so that the vertical distances from all monitoring data points to the straight line are minimized, and the slope D1 of the straight line is obtained in the plane rectangular coordinate system; otherwise, if it is determined that the distribution type of the plurality of monitoring data points is not a linear distribution, no processing is performed; SS13: extract all monitoring values ​​whose collection time is after the collection time of the analyzed value from the monitoring values ​​B1, B2, ..., Bb, and similarly determine a number of monitoring data points according to all the extracted monitoring values ​​and their collection time, and determine the distribution type of all monitoring data points determined by all monitoring values ​​whose collection time is after the collection time of the analyzed value according to the same type determination rule as SS12; SS14: If the distribution types of all monitoring data points determined by all monitoring values ​​before the collection time of the analysis value and the distribution types of all monitoring data points determined by all monitoring values ​​after the collection time of the analysis value are both linear distributions, and D1>0 and D2<0, then it is determined that the monitoring data of the parameter to be analyzed in the collection period A1 meets the preset first analysis standard, and the monitoring data of the parameter to be analyzed in the collection period A1 is recalibrated as the first analysis data of the parameter to be analyzed. Otherwise, no processing is performed temporarily, and D2 is the slope of the straight line fitted by all monitoring data determined by all monitoring values ​​after the collection time of the analysis value; S125: If the monitoring data of the collection period A1 does not meet the preset first analysis standard, Bmin is selected again as the analysis value of the parameter to be analyzed in the collection period A1, and a determination is made based on the analysis value and a preset second determination rule as to whether the monitoring data of the collection period A1 meets the preset second analysis standard. The second determination rule is as follows: According to SS11 to SS13, the distribution types of all monitoring data points determined by all monitoring values ​​at the collection time before the collection time of the analysis value and the distribution types of all monitoring data points determined by all monitoring values ​​at the collection time after the collection time of the analysis value are determined. If they are all linearly distributed and satisfy D3<0, D4>0, it is determined that the monitoring data of the collection period A1 meets the preset second analysis standard, and the monitoring data of the parameter to be analyzed in the collection period A1 is recalibrated as the second analysis data of the parameter to be analyzed. Otherwise, no processing is performed. D3 and D4 are respectively the slopes of the straight lines fitted from all monitoring data determined by all monitoring values ​​at the collection time before and after the collection time of the analysis value; S126: determining whether the monitoring data of the parameter to be analyzed in the collection periods A2, A3, ..., At meet the preset first analysis standard and second analysis standard in the order of the collection periods A1, A2, ..., At, and obtaining all the first analysis data and the second analysis data of the parameter to be analyzed based on the determination results; S13: Acquire several upper limit associated parameters of the parameter to be analyzed and their upper limit associated ratings according to a preset first acquisition rule combined with all first analysis data of the parameter to be analyzed. The first acquisition rule is as follows: S131: Mark all first analysis data of the parameter to be analyzed as E1, E2, ..., Ee, 1≤e≤t, and randomly select one environmental parameter from all environmental parameters of the laying hen breeding area except the parameter to be analyzed as a coherent evaluation parameter of the parameter to be analyzed; S132: extracting the collection time F1 corresponding to the monitoring value with the largest value and the latest collection time F2 from the first analysis data E1 in sequence. It should be noted that the latest collection time is the collection time closest to the current time among the collection times corresponding to all the monitoring values ​​included in the first analysis data E1; S133: according to the acquisition time F1 and the acquisition time F2, the monitoring values ​​of the coherent evaluation parameter at all the acquisition times between the acquisition time F1 and the acquisition time F2 are obtained, and all the acquired monitoring values ​​are marked as G1, G2, ..., Gg in the order of the acquisition times, where g=F2+1-F1, wherein the acquisition times of G1 and Gg are F1 and F2 respectively, and the acquisition times corresponding to the monitoring values ​​with consecutive marked subscripts in pairs in the monitoring values ​​G1, G2, ..., Gg are continuous and are all 1 second; S134: Using formula Calculate and obtain the coherent evaluation index J1 of the coherent evaluation parameter based on the parameter to be analyzed under the first analysis data E1, where H1 is the preset standard monitoring data volume of the parameter to be analyzed, I1 is the value obtained by subtracting the monitoring value with the largest value from the monitoring value with the smallest value in the first analysis data E1, and ɑ1 and ɑ2 are respectively the preset first and second characteristic adjustment coefficients, which are used to unify data of different dimensions from the calculation level; S135: sequentially calculating and obtaining the coherence evaluation parameters J2, J3, ..., Je based on the parameters to be analyzed under the first analysis data E2, E3, ..., Ee according to S131 to S134; S136: Calculate the discrete value K1 of the coherent evaluation indexes J1, J2, ..., Je, compare K1 with K, where K is a preset first standard discrete threshold, select a number of coherent evaluation indexes from the coherent evaluation indexes J1, J2, ..., Je based on the comparison result, and calculate the coherent evaluation parameter based on the coherent rating index L1 of the parameter to be analyzed by using the addition and averaging formula, specifically: Using the formula Calculate and obtain the discrete value K1 of the coherent evaluation parameters J1, J2, ..., Je, and compare K1 with K. In the formula, J is the average value of the coherent evaluation parameters J1, J2, ..., Je, and Jj represents each of the coherent evaluation parameters J1, J2, ..., Je; If K1>K, then delete the corresponding Jj in the order of |Jj-J| from large to small, and calculate the discrete value K1 of the remaining Jj again, and compare the K1 at this time with K again, until K1≤K, and obtain the average value of all the remaining coherent evaluation parameters participating in the calculation of K1 when K1≤K is satisfied, and calibrate the average value as the coherent evaluation parameter based on the coherent rating index L1 of the parameter to be analyzed; S137: Compare the magnitudes of L1 and P2. If L1 > P2, then determine that the coherence evaluation parameter is the upper limit correlation parameter of the parameter to be analyzed. At this time, compare the magnitudes of L1 with P3 and P4. If L1 ≤ P3, then determine that the upper limit correlation rating of the coherence evaluation parameter is level 1. If P3 < L1 < P4, then determine that the upper limit correlation rating of the coherence evaluation parameter is level 2. If L1 ≥ P4, then determine that the upper limit correlation rating of the coherence evaluation parameter is level 3. P3 and P4 are respectively the preset minimum index and maximum index of the standard rating upper limit. In this application, the higher the upper limit correlation rating, the stronger the influence on the coherence evaluation parameter when the monitored value of the parameter to be analyzed changes more significantly. Conversely, if L1 ≤ P2, then no processing is performed. P2 is the preset upper limit parameter determination threshold; S138: Sequentially select all environmental parameters in the laying hen breeding area except the parameter to be analyzed as the coherence evaluation parameters of the parameter to be analyzed, and obtain all upper limit correlation parameters of the parameter to be analyzed and their upper limit correlation ratings according to S132 to S137; S14: Obtain several lower limit correlation parameters of the parameter to be analyzed and their lower limit correlation ratings according to the preset second acquisition rule in combination with all second analysis data of the parameter to be analyzed. The second acquisition rule is as follows: S141: Mark all second analysis data of the parameter to be analyzed as M1, M2,..., Mm, where 1 ≤ m ≤ t, and randomly select an environmental parameter from all environmental parameters in the laying hen breeding area except the parameter to be analyzed as the coherence evaluation parameter of the parameter to be analyzed; S142: Sequentially extract the acquisition moment N1 corresponding to the minimum monitored value and the latest acquisition moment N2 from the second analysis data M1. It should be noted here that the latest acquisition moment is the acquisition moment closest to the current moment among all acquisition moments corresponding to the monitored values included in the second analysis data M1; S143: According to the acquisition moment N1 and the acquisition moment N2, obtain the monitored values of the coherence evaluation parameter at all acquisition moments between the acquisition moment N1 and the acquisition moment N2, and sequentially mark all the obtained monitored values as Q1, Q2,..., Qq in the order of the acquisition moments. Here, q = N2 + 1 - N1, where the acquisition moments of Q1 and Qg are N1 and N2 respectively, and the acquisition moments corresponding to the monitored values with consecutive subscripts among the monitored values Q1, Q2,..., Qq are consecutive, all being 1 second; S144: Use the formula Calculate and obtain the coherence evaluation index U1 of the coherence evaluation parameter based on the parameter to be analyzed under the second analysis data M1. In the formula, R1 is the preset standard monitoring data volume of the parameter to be analyzed, T1 is the value obtained by subtracting the minimum monitored value from the maximum monitored value in the second analysis data M1, and ɑ3 and ɑ4 are the preset third and fourth characteristic adjustment coefficients respectively, used to unify data of different dimensions at the calculation level; S145: Calculate and obtain the coherence evaluation indexes U2, U3,..., Um of the coherence evaluation parameter based on the parameter to be analyzed under the second analysis data M2, M3,..., Mm in sequence according to S141 to S144; S146: Calculate the discrete value V1 of the coherence evaluation indexes U1, U2,..., Um, compare the size of V1 and V. V1 is the preset second standard discrete threshold. Based on the comparison result, screen out several coherence evaluation indexes from the coherence evaluation indexes U1, U2,..., Um and calculate the coherence rating index W1 of the coherence evaluation parameter based on the parameter to be analyzed by using the sum and average formula. Specifically: Use the formula Calculate and obtain the discrete value V1 of the coherence evaluation parameters U1, U2,..., Um, compare the size of V1 and V. In the formula, U is the average value of the coherence evaluation parameters U1, U2,..., Um, and Uu represents each of the coherence evaluation parameters U1, U2,..., Um; If V1 > V, then delete the corresponding Uu in descending order of |Uu - U|, and calculate the discrete value V1 of the remaining Uu again. Compare the size of the current V1 and V again until V1 ≤ V. When V1 ≤ V is satisfied, obtain the average value of all the remaining coherence evaluation parameters participating in the calculation of V1 at this time, and calibrate the average value as the coherence rating index W1 of the coherence evaluation parameter based on the parameter to be analyzed; S147: Compare the size of W1 and P5. If W1 > P5, then determine that the coherence evaluation parameter is the lower limit correlation parameter of the parameter to be analyzed. At this time, compare the size of W1 and P6, P7. If W1 ≤ P6, then determine that the lower limit correlation rating of the coherence evaluation parameter is level 1. If P6 < W1 < P7, then determine that the lower limit correlation rating of the coherence evaluation parameter is level 2. If W1 ≥ P7, then determine that the lower limit correlation rating of the coherence evaluation parameter is level 3. P6 and P7 are the preset standard rating lower limit minimum index and maximum index respectively. In this application, the higher the lower limit correlation rating, the stronger the influence on the coherence evaluation parameter when the monitored value of the parameter to be analyzed changes越大. On the contrary, if W1 ≤ P5, no processing is performed. P5 is the preset standard lower limit parameter threshold; S148: sequentially selecting all environmental parameters of the laying hen breeding area except the parameter to be analyzed as coherent evaluation parameters of the parameter to be analyzed, and obtaining all lower limit associated parameters of the parameter to be analyzed and their lower limit associated ratings according to S142 to S147; S15: all environmental parameters of the laying hen breeding area are selected in sequence as parameters to be analyzed, and all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters in the laying hen breeding area are obtained according to S12 to S14; The monitoring data analysis module transmits all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters of the laying hen breeding area obtained to the environmental monitoring optimization module for storage.

[0012] Some of the data in the above formulas are numerically calculated by removing their dimensions. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0013] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A laying hen breeding environment monitoring system, characterized in that: include: An environmental monitoring and acquisition module is used to collect monitoring values ​​of several environmental parameters in the laying hen breeding area. The environmental monitoring and acquisition module includes several environmental monitoring units, one of which corresponds to one environmental parameter in the laying hen breeding area, and one of which pre-stores the acquisition frequency of the corresponding environmental parameter; An environmental monitoring optimization module is used to compare the monitoring value of an environmental parameter in the egg-laying chicken breeding area with the upper safety threshold and the lower safety threshold of the environmental parameter after receiving the monitoring value of the environmental parameter, and select and generate a change monitoring optimization strategy for all upper limit associated parameters or all lower limit associated parameters of the environmental parameter related to the environmental parameter based on the comparison result; The environmental monitoring unit is used to collect the monitoring values ​​of the corresponding environmental parameters in a subsequent time period of P8 starting from the current moment according to the collection frequency contained therein after receiving a change monitoring optimization strategy, where P8 is a preset standard change monitoring time; The monitoring data analysis module is used to analyze the monitoring data of all environmental parameters in the laying hen breeding area in the past t collection cycles to obtain all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters in the laying hen breeding area.

2. A laying hen breeding environment monitoring system according to claim 1, characterized in that: Environmental parameters include temperature, humidity, illumination, carbon dioxide concentration, ammonia concentration, hydrogen sulfide concentration, methane concentration, dust concentration and noise intensity.

3. The laying hen breeding environment monitoring system according to claim 1, characterized in that: The steps for analyzing and obtaining all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters in the laying hen breeding area are as follows: S11: Randomly select an environmental parameter from all environmental parameters in the laying hen breeding area as the parameter to be analyzed, and mark t collection periods as A1, A2, ..., At respectively; S12: All first analysis data and second analysis data of the parameter to be analyzed are obtained by screening the monitoring data of the parameter to be analyzed in t collection cycles according to a preset screening rule. The screening rule is as follows: S121: Mark all monitoring values ​​of the parameter to be analyzed contained in the monitoring data of the collection period A1 as B1, B2, ..., Bb in sequence according to the order of collection time, where b≥1; S122: Calculate the full range C1 of the monitoring values ​​B1, B2, ..., Bb using the formula C1=Bmax-Bmin, where Bmax and Bmin are the maximum and minimum values ​​of the monitoring values ​​B1, B2, ..., Bb, respectively; S123: Compare C1 and C. If C1≤C, stop executing steps S124-S125 and directly execute step S126. Otherwise, execute steps S124-S126 in sequence. C is the preset global condition recognition amount. S124: temporarily selecting Bmax as the analysis value of the parameter to be analyzed in the collection period A1, and judging whether the monitoring data of the collection period A1 meets the preset first analysis standard according to the preset first judgment rule based on the analysis value; S125: If the monitoring data of the collection period A1 does not meet the preset first analysis standard, select Bmin as the analysis value of the parameter to be analyzed in the collection period A1, and determine whether the monitoring data of the collection period A1 meets the preset second analysis standard according to the analysis value and the preset second determination rule; S126: determining whether the monitoring data of the parameter to be analyzed in the collection periods A2, A3, ..., At meet the preset first analysis standard and second analysis standard in the order of collection periods A1, A2, ..., At, and obtaining all the first analysis data and second analysis data of the parameter to be analyzed; S13: Acquire several upper limit associated parameters of the parameter to be analyzed and their upper limit associated ratings according to a preset first acquisition rule and in combination with all first analysis data of the parameter to be analyzed; S14: Acquire several lower limit associated parameters of the parameter to be analyzed and their lower limit associated ratings according to a preset second acquisition rule and in combination with all second analysis data of the parameter to be analyzed; S15: Select all environmental parameters of the laying hen breeding area in turn as parameters to be analyzed, and obtain all upper limit associated parameters and their upper limit associated ratings, lower limit associated parameters and their lower limit associated ratings of all environmental parameters in the laying hen breeding area according to S12 to S14.

4. A laying hen breeding environment monitoring system according to claim 3, characterized in that: S124, the first determination rule is as follows: SS11: according to the collection time of the analysis value, extract all monitoring values ​​whose collection time is before the collection time of the analysis value from B1, B2, ..., Bb, and determine a number of monitoring data points according to all the extracted monitoring values ​​and their collection time, one monitoring data point corresponds to one monitoring coordinate, the value of the horizontal coordinate of the monitoring data point is the collection time, and the value of the vertical coordinate is the monitoring value; SS12: Determine according to the distribution type of all monitoring data points, as follows: Mapping all the monitoring data points into a plane rectangular coordinate system, in which the horizontal coordinate is the collection time and the vertical coordinate is the monitoring value, and using a regression analysis method to determine the distribution type of the plurality of monitoring data points, the distribution type including linear distribution and nonlinear distribution; If it is determined that the distribution type of all the monitoring data points is linear distribution, a straight line is proposed according to the determined monitoring data points by the least square method, so that the vertical distance from all the monitoring data points to the straight line is minimized, and the slope D1 of the straight line is obtained in the plane rectangular coordinate system. Otherwise, no processing is performed; SS13: extract all monitoring values ​​whose collection time is after the collection time of the analysis value from the monitoring values ​​B1, B2, ..., Bb, determine a number of monitoring data points in the same way, and determine the distribution type of all monitoring data points determined by all the monitoring values ​​according to the same type determination rule as SS12; SS14: If the distribution types determined in SS12 and SS13 are both linear distributions, and D1 > 0 while D2 < 0, then the monitoring data of the parameter to be analyzed in the acquisition period A1 is recalibrated as the first analysis data of the parameter to be analyzed. Otherwise, no processing is performed for the time being. D2 is the slope of the straight line fitted by all the monitoring data determined according to all the monitoring values whose acquisition times are after the acquisition time of the analysis quantity value.

5. The laying hen breeding environment monitoring system according to claim 3, characterized in that: S13. The first acquisition rule for obtaining several upper limit correlation parameters of the parameter to be analyzed and their upper limit correlation ratings is as follows: S131: Mark all the first analysis data of the parameter to be analyzed as E1, E2,..., Ee respectively, where 1 ≤ e ≤ t, and randomly select an environmental parameter from all the environmental parameters in the laying hen breeding area except the parameter to be analyzed as the coherent evaluation parameter of the parameter to be analyzed. S132: Sequentially extract from the first analysis data E1 the acquisition time F1 corresponding to the monitoring value with the largest value and the latest acquisition time F2 among them. S133: According to the acquisition time F1 and the acquisition time F2, obtain the monitoring values of the coherent evaluation parameter at all acquisition times between the acquisition time F1 and the acquisition time F2, and sequentially mark all the obtained monitoring values as G1, G2,..., Gg in the order of acquisition time, where g = F2 + 1 - F1. S134: Using formula Calculate and obtain the coherent evaluation index J1 of the coherent evaluation parameter based on the parameter to be analyzed under the first analysis data E1, where H1 is the preset standard monitoring data volume of the parameter to be analyzed, I1 is the value obtained by subtracting the minimum monitoring value from the maximum monitoring value in the first analysis data E1, and ɑ1 and ɑ2 are the preset first and second characteristic adjustment coefficients; S135: Sequentially calculate and obtain the coherent evaluation indexes J2, J3,..., Je of the coherent evaluation parameter based on the parameter to be analyzed under the first analysis data E2, E3,..., Ee according to S131 to S134. S136: Calculate the discrete value K1 of the coherent evaluation indexes J1, J2,..., Je, compare the size of K1 and K, where K is a preset first standard discrete threshold, and based on the comparison result, screen out several coherent evaluation indexes from the coherent evaluation indexes J1, J2,..., Je and calculate the coherent rating index L1 of the coherent evaluation parameter based on the parameter to be analyzed by using the sum and average formula. S137: Compare the size of L1 and P2. If L1 > P2, then determine that the coherent evaluation parameter is the upper limit correlation parameter of the parameter to be analyzed. At this time, compare the size of L1 and P3, P4. If L1 ≤ P3, then determine that the upper limit correlation rating of the coherent evaluation parameter is level 1. If P3 < L1 < P4, then determine that the upper limit correlation rating of the coherent evaluation parameter is level 2. If L1 ≥ P4, then determine that the upper limit correlation rating of the coherent evaluation parameter is level 3. P3 and P4 are respectively the preset standard rating upper limit minimum index and maximum index. Otherwise, no processing is performed. P2 is the preset upper limit parameter determination threshold. S138: Sequentially select all the environmental parameters in the laying hen breeding area except the parameter to be analyzed as the coherent evaluation parameter of the parameter to be analyzed, and obtain all the upper limit correlation parameters of all the environmental parameters and their upper limit correlation ratings according to S132 to S137.

6. The laying hen breeding environment monitoring system according to claim 1, characterized in that: If the monitoring value is less than or equal to the safety lower limit threshold, first obtain all lower limit associated parameters of the environmental parameter and their lower limit associated ratings, and then adjust the collection frequency of the monitoring value of the lower limit associated parameter within the preset optimization collection period according to the lower limit associated rating of each lower limit associated parameter obtained, as follows: If the lower limit association rating is level 1, the lower limit association parameter is adjusted to have a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the calculation formula is Z1=X1*Y1, where X1 is the current collection frequency of the lower limit association parameter; if the lower limit association rating is level 2, the lower limit association parameter is adjusted to have a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the calculation formula is Z1=X1*Y2; if the lower limit association rating is level 3, the lower limit association parameter is adjusted to have a collection frequency of Z1 in a subsequent time period of P8 from the current moment, and the value of Z1 is 1 at this time; An optimization strategy for monitoring changes of the lower limit associated parameter with respect to the environmental parameter is generated according to the acquisition frequency Z1, and Y1 and Y2 are optimization factors of the preset lower limit associated ratings 1 and 2, respectively.

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