CN118333073A - Beef cattle breeding intelligent monitoring system capable of adaptively adjusting RFID reading distance - Google Patents
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Abstract
The invention discloses an intelligent beef cattle breeding monitoring system capable of adaptively adjusting RFID reading distance, and relates to the technical field of intelligent monitoring data processing. The system comprises an RFID tag reader module, a self-adaptive adjustment module, a data processing and analyzing module and a comprehensive analyzing module. According to the method, the signal parameters of the RFID and the basic data of the beef cattle recorded by the RFID are obtained regularly through the reader, the RFID tag signal evaluation coefficient is analyzed according to the signal parameters of the RFID, the reader is dynamically adjusted according to the RFID tag signal evaluation coefficient, and the beef cattle breeding evaluation coefficient is obtained through comprehensive evaluation according to the basic data of the beef cattle, the breeding parameters of the beef cattle and the RFID tag signal evaluation coefficient, so that the beef cattle breeding monitoring condition is judged, an adjustment scheme is formulated, the effect of improving the accuracy of the data obtained in the RFID tag is achieved, and the problem that the accuracy of the data obtained in the RFID tag is insufficient in the prior art is effectively solved.
Description
Technical Field
The invention relates to the technical field of intelligent monitoring data processing, in particular to a beef cattle breeding intelligent monitoring system capable of adaptively adjusting RFID reading distance.
Background
Beef cattle farming refers to the agricultural activity of raising cattle for the production of meat. Beef is one of the most important meats in the world, and is favored by consumers because of its abundant nutritional value and wide application. In beef cattle farming, farms typically meet market demands by feeding a number of beef cattle. The farm owner will select a breed suitable for beef cattle cultivation and provide appropriate feed and living conditions to ensure the health and growth of the cattle. Meanwhile, the main cultivation farm needs to perform cultivation management, disease prevention and monitoring so as to ensure sustainable development of the cultivation industry.
Existing beef rearing monitoring schemes typically rely on a farm owner or staff to periodically patrol and observe the health of the beef. However, this solution not only easily results in missed detection or misjudgment of the health problem of the cultured cattle, so that the abnormal situation may be found after a considerable period of time, but also results in limited monitoring range due to the limitation of manpower and time, and only a few cattle can be observed, but the whole cultured population cannot be monitored comprehensively.
For example, bulletin numbers: CN110991574B patent publication an RFID-based intelligent supervision system for field tools, comprising: the task organization issuing module and the field tool supervision module; the task organization issuing module is used for providing data support for the intelligent field tool supervision system; the field tool supervision module is used for real-time monitoring and loss reminding of tools; the task organization issuing module comprises a server and a database management system configured on the server. The invention can assist the operator to concentrate on the task, and the work of taking, checking and the like of the tool is completed by the computer, so that the error rate is lower. The computer automatically checks tools in the work area instead of repeatedly confirming the operators, and only when a suspected tool loss event occurs, the system alarms the operators to remind the operators to timely retrieve the lost tools, so that the tools can be effectively prevented from being lost in the operation process, the operators are reminded to timely retrieve, and potential safety hazards caused by the loss of the tools to the operation area are avoided.
For example, publication No.: the intelligent beef cattle breeding monitoring system capable of adaptively adjusting RFID reading distance disclosed by CN110060171A comprises: cattle farm comprehensive management cloud server and cattle frame provided with beef cattle breeding intelligent detection module; the bovine frame is one or more; the beef cattle breeding intelligent detection module on the cattle frame is connected with the cattle farm comprehensive management cloud server and realizes information interaction; the beef cattle breeding intelligent detection module comprises a salt tank, a scale body, a weighing controller, an RFID control box and a power supply management module; the salt tank is used for containing salt or food for beef cattle to eat; the weighing body is connected with the weighing controller and used for displaying the average value, the peak value and the calibration weighing body of the average weight information of the beef cattle in the preset time on the weighing body; the weighing controller is in wireless connection with the cattle farm comprehensive management cloud server through the RFID control box; the power management module is respectively connected with the weighing body, the weighing controller and the RFID control box. The invention can monitor the weight growth curve of beef cattle, monitor the health sign of beef cattle and reduce the labor cost.
However, in the process of implementing the technical scheme of the embodiment of the application, the application discovers that the above technology has at least the following technical problems:
In the prior art, as the beef cattle breeding intelligent monitoring system monitors the beef cattle through the information returned by the RFID tag, the RFID tag can be damaged due to external force or the RFID tag is lost or fails to be transmitted under the condition that the reading distance of a reader is exceeded in the beef cattle breeding process, and the problem that the efficiency of breeding production is reduced due to insufficient accuracy of data acquired in the RFID tag exists.
Disclosure of Invention
According to the beef cattle breeding intelligent monitoring system capable of adaptively adjusting the RFID reading distance, the problem of insufficient accuracy of feed distribution in the prior art is solved, and the effect of improving the accuracy of feed distribution is achieved.
The embodiment of the application provides an intelligent beef cattle breeding monitoring system capable of adaptively adjusting RFID reading distance, which comprises the following steps: RFID tag reader module: the system comprises a reader, a control unit and a control unit, wherein the reader is used for periodically acquiring signal parameters of RFID and cattle basic data recorded by the RFID; and the self-adaptive adjustment module is used for: the system comprises a reader, a signal parameter analyzer and a signal parameter analyzer, wherein the signal parameter analyzer is used for analyzing an RFID tag signal evaluation coefficient according to the signal parameter of the RFID, and dynamically adjusting the reader according to the RFID tag signal evaluation coefficient; and the data processing and analyzing module is used for: the method is used for carrying out data analysis and monitoring according to cow basic data, cow breeding parameters, RFID signal parameters and RFID tag signal evaluation coefficients.
Further, the specific process of dynamically adjusting the reader according to the RFID tag signal evaluation coefficient comprises the following steps: acquiring an RFID tag signal evaluation coefficient and comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold extracted from a database; when the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, marking the RFID tag as a good tag, marking the signal parameter of the RFID acquired by a corresponding reader and the cattle basic data recorded by the RFID as the signal parameter of the good RFID and the cattle basic data recorded by the RFID respectively, and inputting the signal parameter and the cattle basic data into a data processing and analyzing module; when the RFID tag signal evaluation coefficient is smaller than the RFID tag signal evaluation threshold, marking the RFID tag as a bad tag, adjusting a reader, and inputting the data obtained after adjustment into a data processing and analyzing module.
Further, the reader is adjusted, and the data obtained after adjustment is input into a data processing and analyzing module, which comprises the following specific steps: gradually increasing the power of the corresponding reader until the power reaches a preset limit power; comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold in real time; when the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, respectively marking the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID as the signal parameters of the good RFID and the cow basic data, inputting the signal parameters and the cow basic data into the data processing and analyzing module, and stopping increasing the power of the corresponding reader; when the power of the reader is increased to the preset limit power and the RFID tag signal evaluation coefficient is smaller than the FID tag signal evaluation threshold, the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, the bad RFID and the cow basic data are input into the data processing and analyzing module, and the power increase of the corresponding reader is stopped.
Further, the reader is adjusted, and the data obtained after adjustment is input into a data processing and analyzing module, which comprises the following specific steps: switching at least one standby reader to read signal parameters of the RFID and cattle basic data recorded by the RFID until all the standby readers traverse to read the bad tag; when the RFID tag signal evaluation coefficient corresponding to the data read by at least one standby reader is larger than or equal to the RFID tag signal evaluation threshold, the signal parameter of the RFID and the cow basic data recorded by the RFID, which are obtained by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient, are respectively recorded as the signal parameter of the good RFID and the cow basic data, and are input into the data processing and analyzing module; when the RFID tag signal evaluation coefficients corresponding to the data acquired by the standby continuous reader are smaller than the RFID tag signal evaluation threshold, the signal parameters of the RFID acquired by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, and the signal parameters and the cow basic data are input into the data processing and analyzing module.
Further, the reader is adjusted, and the data obtained after adjustment is input into a data processing and analyzing module, which comprises the following specific steps: gradually increasing the power of the corresponding reader until the power reaches a preset limit power; comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold in real time; when the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, respectively marking the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID as the signal parameters of the good RFID and the cow basic data, inputting the signal parameters and the cow basic data into the data processing and analyzing module, and stopping increasing the power of the corresponding reader; when the power of the reader is increased to a preset limit power and the RFID tag signal evaluation coefficient is smaller than the FID tag signal evaluation threshold, switching at least one standby reader to read the signal parameters of the RFID and the cattle basic data recorded by the RFID until all the standby readers traverse to read the bad tag; when the RFID tag signal evaluation coefficient corresponding to the data read by at least one standby reader is larger than or equal to the RFID tag signal evaluation threshold, the signal parameter of the RFID and the cow basic data recorded by the RFID, which are obtained by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient, are respectively recorded as the signal parameter of the good RFID and the cow basic data, and are input into the data processing and analyzing module; when the RFID tag signal evaluation coefficients corresponding to the acquired data of the standby reader are smaller than the RFID tag signal evaluation threshold value, the signal parameters of the RFID acquired by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, and the signal parameters and the cow basic data are input into the data processing and analyzing module.
Further, the beef cattle breeding intelligent monitoring system capable of adaptively adjusting the RFID reading distance is characterized in that the beef cattle basic data comprises: the total movement distance of the beef cattle within the preset time and the average body temperature of the beef cattle within the preset time; the beef cattle breeding parameters comprise: total feed intake of beef cattle within a preset time and average weight of beef cattle within the preset time; the signal parameters of the RFID include: the signal strength of the RFID tag transmitted signal, the reflectivity of the RFID tag transmitted signal, the signal return time of the RFID tag transmitted signal, the signal phase of the RFID tag transmitted signal, and the signal phase of the reader received signal when the RFID tag transmitted signal.
Further, the data analysis and monitoring according to the basic cow data, the breeding parameters of beef cattle, the signal parameters of RFID and the signal evaluation coefficients of RFID tags comprises the following steps: when basic data of the beef cattle are abnormal or when breeding parameters of the beef cattle are abnormal, narrowing the RFID tag data acquisition interval of the beef cattle, monitoring the data of the beef cattle for multiple times, and sending out reminding information; inquiring and displaying the signal parameters of the RFID of the bad label according to the RFID label signal evaluation coefficient, and sending out reminding information.
Further, the specific process of analyzing the RFID tag signal evaluation coefficient according to the RFID signal parameter is as follows: and comprehensively evaluating the signal quality of the RFID tag according to the signal intensity of the RFID tag transmitting signal, the reflectivity of the RFID tag transmitting signal, the signal return time of the RFID tag transmitting signal, the signal phase when the RFID tag transmitting signal and the signal phase when the RFID tag transmitting signal receives the signal by the reader, and obtaining an RFID tag signal evaluation coefficient.
Further, a specific constraint formula of the RFID tag signal evaluation coefficient is:
；
in the method, in the process of the invention, An RFID tag signal evaluation coefficient representing the a-th beef cattle, for evaluating the quality of the RFID signal, numbering each beef cattle, a=1, 2,3, a,Representing the signal strength of the signal transmitted by the RFID tag of the a-th beef cattle,Representing the reflectivity of the signal transmitted by the RFID tag of the beef cattle at a,A signal return time representing the signal transmitted by the RFID tag of the a-th beef cattle,Indicating the signal phase when the RFID tag of the a-th beef cattle transmits a signal,Representing the signal phase of the reader received signal when the RFID tag of the a-th beef cattle transmitted the signal, e represents the natural constant.
Further, the beef cattle breeding intelligent monitoring system capable of adaptively adjusting RFID reading distance is characterized by further comprising: and the comprehensive analysis module is used for: the beef cattle cultivation evaluation system is used for comprehensively evaluating the beef cattle cultivation evaluation coefficients according to the basic beef cattle data, the beef cattle cultivation parameters and the RFID tag signal evaluation coefficients, extracting beef cattle cultivation evaluation thresholds from the database, and adjusting is not needed when the beef cattle cultivation evaluation coefficients are larger than the beef cattle cultivation evaluation thresholds; and when the beef cattle cultivation evaluation coefficient is smaller than the beef cattle cultivation evaluation threshold value, formulating and sending out an adjustment scheme according to the difference value of the beef cattle cultivation evaluation coefficient and the beef cattle cultivation evaluation threshold value.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. The beef cattle is monitored through the information transmitted back by the RFID tag, when the RFID tag is possibly damaged due to external force or the RFID tag exceeds the reading distance of the reader, the signal is lost or the transmission is failed or the quality is lower, so that the output power of the reader is dynamically adjusted by using the self-adaptive parameter adjusting algorithm, the effect of improving the accuracy of the data acquired in the RFID tag is achieved, and the problem that the accuracy of the data acquired in the RFID tag is insufficient in the prior art is effectively solved.
2. Through increasing the power of the reader step by step to preset limiting power, the system can automatically adjust the working state of the reader, when the main reader can not mark data through increasing the power, the system can automatically switch to the standby reader, and the RFID tag signal evaluation coefficient and the threshold value are compared to mark the RFID tag, so that the system can still continue to normally work when facing the faults of the reader or the interference of the environment, the effect of improving the data acquisition efficiency of the beef cattle breeding intelligent monitoring system is realized, and the problem that the data acquisition efficiency of the beef cattle breeding intelligent monitoring system is too low in the prior art is effectively solved.
3. The beef cattle breeding evaluation coefficient is obtained through comprehensive evaluation by using the beef cattle breeding parameters, the basic data of the beef cattle and the signal parameters of the RFID, the beef cattle breeding evaluation coefficient is compared with the beef cattle breeding evaluation threshold value, and the beef cattle breeding process is optimized according to the comparison result, so that the effect of improving the beef cattle breeding condition analysis efficiency is achieved, and the problem of insufficient beef cattle breeding condition analysis efficiency in the prior art is effectively solved.
Drawings
FIG. 1 is a schematic diagram of a beef cattle breeding intelligent monitoring system capable of adaptively adjusting RFID reading distance according to an embodiment of the application;
Fig. 2 is an image of beef cattle growth evaluation coefficients in the beef cattle breeding intelligent monitoring system capable of adaptively adjusting the RFID reading distance according to the embodiment of the application.
Detailed Description
According to the beef cattle breeding intelligent monitoring system capable of adaptively adjusting the RFID reading distance, the problem that the accuracy of data acquired from an RFID tag in the prior art is insufficient is solved, the beef cattle is monitored through information transmitted back from the RFID tag, and when the RFID tag is possibly damaged due to external force or exceeds the reading distance of the reader, the signal is lost or the transmission is failed or the quality is low, so that the output power of the reader is dynamically adjusted by using an adaptive parameter adjustment algorithm, and the effect of improving the accuracy of the data acquired from the RFID tag is achieved.
The hardware running environment related to the embodiment of the application comprises the following steps: the system comprises RFID tags and receivers, wherein the receivers receive signals transmitted back by the RFID tags, the RFID tags and the receivers can be in one-to-one correspondence, a plurality of the tags can be corresponding to one receiver, a plurality of the receivers can be corresponding to one tag, and the sensors comprise various sensors for detecting physiological parameters of cows in the breeding process, such as weighing sensors, monitoring the weight of the cows, and are usually arranged on a necessary road on which the cows are fed, one cow is operated each time to obtain the weight of each cow, the corresponding numbers can be acquired through the ear tags at the same time when the weight is acquired, the data are transmitted to a memory, and the processor is used for processing the signals received by the receivers and analyzing and judging the signals acquired by the sensors and sending early warning or reminding planets, and the memory is used for storing the feeding data related to the history cows, various threshold data, the sensor and the ear tag transmission data and the like.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
As shown in fig. 1, a structural schematic diagram of a beef cattle breeding intelligent monitoring system capable of adaptively adjusting an RFID reading distance according to an embodiment of the present application includes: RFID tag reader module: the system comprises a reader, a control unit and a control unit, wherein the reader is used for periodically acquiring signal parameters of RFID and cattle basic data recorded by the RFID; and the self-adaptive adjustment module is used for: the system comprises a reader, a signal parameter analyzer and a signal parameter analyzer, wherein the signal parameter analyzer is used for analyzing an RFID tag signal evaluation coefficient according to the signal parameter of the RFID, and dynamically adjusting the reader according to the RFID tag signal evaluation coefficient; and the data processing and analyzing module is used for: the method is used for carrying out data analysis and monitoring according to cow basic data, cow breeding parameters, RFID signal parameters and RFID tag signal evaluation coefficients.
Further, the specific process of dynamically adjusting the reader according to the RFID tag signal evaluation coefficient comprises the following steps: acquiring an RFID tag signal evaluation coefficient and comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold extracted from a database; the database stores corresponding RFID tag signal evaluation thresholds under various environmental conditions, is used for judging whether the quality of tag signals is qualified or not, and sets a calling rule for calling, wherein the specific calling rule can be to define a mapping table through historical data and expert experience, the table lists the RFID tag signal evaluation thresholds under different environmental conditions, environmental factors can be temperature, humidity, obstacle conditions and the like, the corresponding signal RFID tag evaluation thresholds are inquired according to real-time cultivation environment, the calling rule can also be to establish a linear regression model by using environmental variables such as temperature, humidity and obstacle quantity in the historical data and corresponding signal quality, real-time cultivation environment data is used as input, the model outputs corresponding thresholds, the calling rule can also use machine learning algorithms such as random forest and the like, a relation model between the environmental conditions and the signal quality is established through training data, and the proper evaluation threshold is predicted according to the real-time environment data. When the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, marking the RFID tag as a good tag, marking the signal parameter of the RFID acquired by a corresponding reader and the cattle basic data recorded by the RFID as the signal parameter of the good RFID and the cattle basic data recorded by the RFID respectively, and inputting the signal parameter and the cattle basic data into a data processing and analyzing module; when the RFID tag signal evaluation coefficient is smaller than the RFID tag signal evaluation threshold, marking the RFID tag as a bad tag, adjusting a reader, and inputting the data obtained after adjustment into a data processing and analyzing module.
In this embodiment, the RFID tag signal evaluation threshold is dynamically adjusted according to the real-time environmental conditions, adapting to different environmental changes, improving the flexibility of the system, ensuring that the system uses RFID tag data with reliable quality preferentially by classifying good and bad tags, further adjusting signals when the tag signals are not ideal, improving the overall reliability of the system, automatically evaluating the RFID tag signal quality and performing necessary adjustment by the system, preferentially automatically adjusting when the cow is far away or the tag signal is bad or damaged, reducing manual intervention, improving the working efficiency, acquiring and processing environmental data and RFID tag signal data in real time, ensuring that the system is always in an optimal working state, continuously improving and optimizing evaluation models and rules by continuously accumulating and analyzing historical data, and improving the system performance.
Further, the reader is adjusted, and the data obtained after adjustment is input into a data processing and analyzing module, which comprises the following specific steps: gradually increasing the power of the corresponding reader until the power reaches a preset limit power; comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold in real time; when the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, respectively marking the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID as the signal parameters of the good RFID and the cow basic data, inputting the signal parameters and the cow basic data into the data processing and analyzing module, and stopping increasing the power of the corresponding reader; when the power of the reader is increased to the preset limit power and the RFID tag signal evaluation coefficient is smaller than the FID tag signal evaluation threshold, the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, the bad RFID and the cow basic data are input into the data processing and analyzing module, and the power increase of the corresponding reader is stopped.
In this embodiment, first, the power of the reader is set at a lower level to avoid unnecessary interference to the tag or cow, and the energy consumption can be reduced, the service duration of the tag is increased, the power of the reader is increased step by step, at each power level, the RFID tag signal evaluation coefficient is calculated and compared with the RFID tag signal evaluation threshold, when the power of the reader is adjusted to a certain level, if the RFID tag signal evaluation coefficient meets the RFID tag signal evaluation threshold requirement, the signal parameter of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID are recorded as the signal parameter of the good RFID and the cow basic data recorded by the good RFID respectively, and if the power is still smaller than the threshold even if the power is increased to the preset limit power, the signal parameter of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID are recorded as the signal parameter of the bad RFID and the cow basic data respectively, and the increase of the power of the reader is stopped at the same time no matter whether the data is good or bad, the data is input into the data processing and analyzing module, the above flow is an automatic process, manual intervention is not needed, and the possibility of human error is also reduced; by monitoring and adjusting the reader power in real time, the system can better adapt to different environmental conditions and maintain stable data acquisition capacity.
Further, the reader is adjusted, and the data obtained after adjustment is input into a data processing and analyzing module, which comprises the following specific steps: switching at least one standby reader to read signal parameters of the RFID and cattle basic data recorded by the RFID until all the standby readers traverse to read the bad tag; when the RFID tag signal evaluation coefficient corresponding to the data read by at least one standby reader is larger than or equal to the RFID tag signal evaluation threshold, the signal parameter of the RFID and the cow basic data recorded by the RFID, which are obtained by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient, are respectively recorded as the signal parameter of the good RFID and the cow basic data, and are input into the data processing and analyzing module; when the RFID tag signal evaluation coefficients corresponding to the data acquired by the standby continuous reader are smaller than the RFID tag signal evaluation threshold, the signal parameters of the RFID acquired by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, and the signal parameters and the cow basic data are input into the data processing and analyzing module.
In this embodiment, when a problem occurs in the process of reading a certain RFID tag by a reader, for example, a signal is weak or the reading fails, at least one standby reader is started to attempt to read the RFID signal parameter and the cow basic data of the bad tag, all standby readers are traversed to attempt to read the tag one by one, if the signal evaluation coefficient of the standby continuous reader corresponding to the signal evaluation coefficient of the at least one standby reader is greater than or equal to a threshold value, the signal parameter of the RFID acquired by the standby continuous reader corresponding to the signal evaluation coefficient of the maximum RFID tag and the cow basic data recorded by the RFID are recorded as the signal parameter of the good RFID and the cow basic data of the good tag respectively and are input into a data processing and analyzing module, only high-quality data can be ensured to be acquired and analyzed by comparing the signal evaluation coefficients of the RFID tags read by the standby readers with the threshold value, thereby improving the accuracy of the data.
Further, the reader is adjusted, and the data obtained after adjustment is input into a data processing and analyzing module, which comprises the following specific steps: gradually increasing the power of the corresponding reader until the power reaches a preset limit power; comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold in real time; when the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, respectively marking the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID as the signal parameters of the good RFID and the cow basic data, inputting the signal parameters and the cow basic data into the data processing and analyzing module, and stopping increasing the power of the corresponding reader; when the power of the reader is increased to a preset limit power and the RFID tag signal evaluation coefficient is smaller than the FID tag signal evaluation threshold, switching at least one standby reader to read the signal parameters of the RFID and the cattle basic data recorded by the RFID until all the standby readers traverse to read the bad tag; when the RFID tag signal evaluation coefficient corresponding to the data read by at least one standby reader is larger than or equal to the RFID tag signal evaluation threshold, the signal parameter of the RFID and the cow basic data recorded by the RFID, which are obtained by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient, are respectively recorded as the signal parameter of the good RFID and the cow basic data, and are input into the data processing and analyzing module; when the RFID tag signal evaluation coefficients corresponding to the acquired data of the standby reader are smaller than the RFID tag signal evaluation threshold value, the signal parameters of the RFID acquired by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, and the signal parameters and the cow basic data are input into the data processing and analyzing module.
In this embodiment, the power of the reader is increased step by step to a preset limit power, and the RFID tag signal evaluation coefficient and the RFID tag signal evaluation threshold are compared, and the signal parameter of the good or bad RFID and the good or bad cow basic data are marked according to the comparison result, if the reader cannot mark the data by increasing the power, at least one standby reader is switched, the standby processor is used for traversing the tag, when the RFID tag signal evaluation coefficient corresponding to the data read by the at least one reader is compared with the RFID tag signal evaluation threshold, the signal parameter of the RFID and the cow basic data are marked according to the comparison result, and by increasing the power of the reader step by step to the preset limit power, the system can automatically adjust the working state of the reader, and the mechanism can ensure that the system can acquire stable RFID tag signals under different reading distances and environments; by comparing the RFID tag signal evaluation coefficient with the RFID tag signal evaluation threshold, the system can evaluate the read RFID signal in real time to mark the RFID tag with good or bad signal quality, which is helpful for improving the accuracy of data acquisition and eliminating error data caused by signal problems; the system can automatically switch to the standby reader when the primary reader cannot mark the data by increasing power. The redundant design ensures that the system can still continue to work normally when facing the fault of the reader or the interference of the environment, and avoids the interruption of data acquisition caused by the fault of equipment; the standby processor can traverse the tag and compare the RFID tag signal evaluation coefficient with a threshold value to ensure the accuracy of the acquired data, and through the mechanism, the system can mark bad RFID signal parameters and corresponding cow basic data so as to provide reference for subsequent data analysis and processing; and the automatic power adjustment and fault switching mechanism can reduce manual intervention and improve the efficiency of data acquisition. Meanwhile, through real-time evaluation and marking of bad data, high-quality data can be screened out in advance in a data processing stage, and subsequent data processing burden is reduced.
Further, the beef cattle breeding intelligent monitoring system capable of adaptively adjusting the RFID reading distance is characterized in that the beef cattle basic data comprises: the total movement distance of the beef cattle within the preset time and the average body temperature of the beef cattle within the preset time; the beef cattle breeding parameters comprise: total feed intake of beef cattle within a preset time and average weight of beef cattle within the preset time; the signal parameters of the RFID include: the method comprises the steps of carrying out normalization processing on cow basic data, beef cattle breeding parameters and RFID signal parameters, wherein the cow basic data comprises the signal intensity of an RFID tag transmitting signal, the reflectivity of the RFID tag transmitting signal, the signal return time of the RFID tag transmitting signal, the signal phase of the RFID tag transmitting signal and the signal phase of a reader receiving signal when the RFID tag transmits the signal.
In the embodiment, a monitoring period is set, the total feed intake of the beef cattle in preset time and the average weight of the beef cattle in the preset time are monitored at fixed time, the total movement distance of the beef cattle in the preset time and the average body temperature of the beef cattle in the preset time can be obtained by directly monitoring through a sensor in an RFID tag, an RFID reader is arranged in a farm, the beef cattle is monitored continuously for 24 hours, when the beef cattle moves, the RFID reader captures signals sent by the tag, the movement distance of the beef cattle is recorded, the average body temperature of the beef cattle is recorded in real time through a body temperature monitoring device, corresponding data can be obtained through communication between the RFID and the reader, basic data of the beef cattle, the breeding parameters of the beef cattle, the signal parameters of the RFID and the like are preprocessed, specifically, normalization processing can be used, the normalized data range is between 0 and 1 or has the characteristics that the standard deviation is 1, the average value is 0, the numerical value in the calculation process is usually reduced, the risk in the calculation process is reduced, and the calculation speed of an algorithm is accelerated; the normalized data is easier to perform feature selection and importance assessment, and is helpful for identifying parameters with the greatest influence on the model.
Further, the data analysis and monitoring according to the basic cow data, the breeding parameters of beef cattle, the signal parameters of RFID and the signal evaluation coefficients of RFID tags comprises the following steps: when basic data of the beef cattle are abnormal or when breeding parameters of the beef cattle are abnormal, narrowing the RFID tag data acquisition interval of the beef cattle, monitoring the data of the beef cattle for multiple times, and sending out reminding information; inquiring and displaying the signal parameters of the RFID of the bad label according to the RFID label signal evaluation coefficient, and sending out reminding information.
In this embodiment, by monitoring the cow basic data, the breeding parameters of beef cattle, the signal parameters of RFID and the evaluation coefficients of RFID tag signals, the cow basic data anomalies include: excessive movement amount rise or fall compared with the previous period may have estrus hidden trouble; excessive temperature difference from the previous time period may have disease hidden trouble; abnormal beef cattle breeding parameters include excessive reduction or increase of weight compared with the weight of the previous period beyond the normal weight floating range, and excessive reduction or increase of total feed intake compared with the previous period, wherein pregnancy conditions can exist in both cases; when the basic data or the breeding parameters of the cattle are detected to be abnormal, the RFID tag acquisition interval is shortened, the data of the cattle are monitored for many times, the abnormal data can be monitored more timely by shortening the RFID tag data acquisition interval, so that problems can be found more quickly, the problems can be prevented from being expanded, if the detection result of each time is not improved, the tags of the cattle are inquired and displayed as bad tags according to the RFID tag signal evaluation coefficients, reminding information is sent to a manager of a farm, and the manager can take measures in advance by sending the reminding information so as to prevent the problems, so that the method accords with the pre-defense-based breeding management principle.
Further, the specific process of analyzing the RFID tag signal evaluation coefficient according to the RFID signal parameter is as follows: and comprehensively evaluating the signal quality of the RFID tag according to the signal intensity of the RFID tag transmitting signal, the reflectivity of the RFID tag transmitting signal, the signal return time of the RFID tag transmitting signal, the signal phase when the RFID tag transmitting signal and the signal phase when the RFID tag transmitting signal receives the signal by the reader, and obtaining an RFID tag signal evaluation coefficient.
Further, the beef cattle breeding intelligent monitoring system capable of adaptively adjusting RFID reading distance is characterized by further comprising: and the comprehensive analysis module is used for: the beef cattle cultivation evaluation system is used for comprehensively evaluating the beef cattle cultivation evaluation coefficients according to the basic data of the beef cattle, the cultivation parameters of the beef cattle and the RFID tag signal evaluation coefficients, judging the beef cattle cultivation monitoring conditions through the beef cattle cultivation evaluation coefficients and making an adjustment scheme.
In the embodiment, the beef cattle breeding evaluation coefficient is obtained by comprehensively evaluating the breeding parameters of beef cattle, the basic data of beef cattle and the signal parameters of RFID through a formula, the growth condition and the breeding environment of beef cattle can be evaluated more accurately through comprehensively considering various parameters, so that the effectiveness of breeding management is improved, the model parameters are adjusted according to the actual breeding evaluation result, the beef cattle growth evaluation coefficient and the RFID tag signal evaluation coefficient are obtained, the model parameters can be adjusted in real time according to the actual breeding evaluation result so as to adapt to the dynamic change of beef cattle breeding, the configuration of an RFID reading device is optimized according to the RFID tag signal evaluation coefficient, the monitoring precision is improved, the breeding efficiency and the production benefit are improved, the beef cattle growth evaluation coefficient and the RFID tag signal evaluation coefficient are obtained through the formula comprehensive evaluation, the beef cattle breeding evaluation coefficient can be used for disease monitoring, abnormal conditions can be found in time, an adjustment scheme can be automatically matched and formulated, specifically, hardware equipment is adjusted or repaired or replaced for data of bad tags, in addition, breeding processes are optimized, for example, feeding quantity is increased, proportion of high-quality feed is increased, frequency of inspection and basic index monitoring is increased, precaution measures are taken, occurrence and transmission of diseases are reduced, the beef cattle breeding evaluation coefficient is compared with a beef cattle breeding evaluation threshold value, beef cattle breeding processes are optimized according to comparison results, including but not limited to disease monitoring, rest time of beef cattle is increased or reduced, medicine and hormone injection are carried out, waste of feed, medicine and human resources can be reduced through optimizing breeding processes, and breeding cost is further reduced.
In one embodiment, the specific constraint formula for the beef cattle farming evaluation coefficient is:
；
in the method, in the process of the invention, Represents a beef cattle breeding evaluation coefficient for evaluating the growth of each beef cattle and the combined effect of the quality of the RFID tag of each beef cattle on beef cattle breeding, a represents a beef cattle serial number, the RFID tag serial number corresponds to the beef cattle serial number one by one, a=1, 2,3,., i represents the total number of beef cattle, the total number of RFID tags is consistent with the total number of beef cattle,Represents the growth evaluation coefficient of the a-th beef cattle,An RFID tag signal evaluation coefficient representing the a-th beef cattle,Represents the regulating factor of the beef cattle growth evaluation coefficient,And e represents a natural constant.
In a specific implementation, the beef cattle growth evaluation coefficient is used for evaluating the growth state and health condition of beef cattle, the RFID tag signal evaluation coefficient is beneficial to improving the accuracy of the beef cattle growth coefficient, and the beef cattle growth evaluation coefficient and the beef cattle RFID tag signal evaluation coefficient are comprehensively evaluated to obtain the beef cattle breeding quality, so that the breeding efficiency can be improved, the breeding risk can be reduced, the health problem of the beef cattle can be found in advance, and the beef cattle can be prevented and optimized to reduce the stress response of the beef cattle.
In this embodiment, the beef cattle cultivation evaluation coefficient may also be obtained by using statistical analysis of data such as growth records, feed consumption, health status, and reproduction history of the past beef cattle; the value range of the regulating factor of the beef cattle growth evaluation coefficient is 0.1-1, the value range of the regulating factor of the RFID tag signal evaluation coefficient is 0.1-1, and the regulating factor allows a manager to adjust system parameters according to specific cultivation environments and targets so as to adapt to different cultivation conditions and management requirements.
In this embodiment, the adjusting factor of the beef cattle growth coefficient may directly obtain a corresponding set value from the database, or may establish a beef cattle growth model according to the historical beef cattle cultivation parameters, the historical beef cattle basic data and the corresponding cultivation economic data obtained from the database by using a random forest algorithm in a decision tree algorithm, where the beef cattle growth model is used to analyze the relationship between the beef cattle cultivation parameters and the beef cattle basic data and the cultivation condition, divide the historical beef cattle cultivation parameters, the historical beef cattle basic data and the corresponding cultivation economic data into a training set and a verification set, train the beef cattle growth model by using the training set, verify the beef cattle growth model by using the verification set, and when it is determined that the beef cattle growth model has no fitting problem according to the verification result, finish training the beef cattle growth model, extract feature data from the preprocessed beef cattle cultivation parameters and the beef cattle basic data to obtain feature data of the beef cattle cultivation parameters and feature data of the beef cattle basic data, input real-time beef cattle cultivation parameters and feature data of the beef cattle basic data into the beef cattle cultivation model, and obtain the average result of the weighting factor in the random forest growth model;
The adjustment factor of the beef cattle growth evaluation coefficient can also be obtained by the following method: constructing a mapping set of historical regulation factor data of beef cattle growth and characteristic data of beef cattle breeding parameters by carrying out on the historical regulation factor data of beef cattle growth and beef cattle growth related documents, and obtaining a regulation factor of a beef cattle growth evaluation coefficient by real-time mapping data of the mapping set of the historical regulation factor data of beef cattle growth and the characteristic data of beef cattle breeding parameters;
in another embodiment, the value of the regulating factor of the beef cattle growth evaluation coefficient is 0-1, and when the temperature of the farm is reduced, the regulating factor of the beef cattle growth coefficient needs to be properly reduced, so that the influence of beef cattle growth on beef cattle cultivation is reduced.
The adjusting factor of the RFID tag signal evaluation coefficient can directly obtain a corresponding set value from a database, and can also be obtained by the following method: the influence degree of the RFID signal parameters on the corresponding cultivation economy is explored by applying generalized multiple linear regression, a generalized multiple linear regression model is built by using statsmodels libraries of Python software through the RFID signal parameters and the corresponding cultivation economy data, the generalized multiple linear regression model can help understand how the real-time signal intensity, reflectivity, return time and phase affect the corresponding cultivation economy together, and the real-time signal intensity, reflectivity, return time and phase are input into the generalized multiple linear regression model to obtain the adjustment factors of the RFID tag signal evaluation coefficients;
Further, judging beef cattle cultivation monitoring conditions through beef cattle cultivation evaluation coefficients and making an adjustment scheme specifically comprises the following steps: extracting beef cattle cultivation evaluation threshold values from the database, and when the beef cattle cultivation evaluation coefficients are larger than the beef cattle cultivation evaluation threshold values, showing that the overall cultivation effect and the hardware state are good, only paying attention to abnormal data at any time, and otherwise, not needing adjustment, avoiding excessive use of manpower, increasing workload and reducing efficiency; when the beef cattle cultivation evaluation coefficient is smaller than the beef cattle cultivation evaluation threshold value, an adjustment scheme is formulated and sent to the beef cattle cultivation intelligent detection system according to the difference value of the beef cattle cultivation evaluation coefficient and the beef cattle cultivation evaluation threshold value.
In this embodiment, the beef cattle growth evaluation coefficient and the RFID tag signal evaluation coefficient are comprehensively evaluated and calculated through a formula to obtain the beef cattle breeding evaluation coefficient, the beef cattle breeding evaluation threshold value is directly extracted from the database, when the beef cattle breeding evaluation coefficient is greater than the beef cattle breeding evaluation threshold value, the beef cattle breeding intelligent monitoring system in this example does not need to be adjusted, when the beef cattle breeding evaluation coefficient is smaller than the beef cattle breeding evaluation threshold value, the severity of the problem is judged according to the difference value between the beef cattle breeding evaluation coefficient and the beef cattle breeding evaluation threshold value, if the severity is smaller, a fine adjustment management process can be adopted to optimize feeding time and beef cattle rest time arrangement, and if the severity is larger, adjustment of the beef cattle breeding plan is adopted to monitor cow estrus time, artificial fertilization and artificial embryo transplantation, and corresponding adjustment schemes are formulated according to specific difference values, so that accurate adjustment is realized, a one-cut management mode is avoided, and through accurate management and adjustment, resource use such as feed, medicine, labor force and the like can be optimized, and cost is reduced.
Further, a specific constraint formula of the RFID tag signal evaluation coefficient is:
；
in the method, in the process of the invention, An RFID tag signal evaluation coefficient representing the first beef cattle, for evaluating the quality of the RFID signal, a representing the beef cattle number, the RFID tag number corresponding one-to-one to the beef cattle number, a=1, 2, 3..i, i representing the total number of beef cattle, the total number of RFID tags being consistent with the total number of beef cattle,Representing the signal strength of the signal transmitted by the RFID tag of the a-th beef cattle,Representing the reflectivity of the signal transmitted by the RFID tag of the beef cattle at a,A signal return time representing the signal transmitted by the RFID tag of the a-th beef cattle,Indicating the signal phase when the RFID tag of the a-th beef cattle transmits a signal,Representing the signal phase of the reader received signal when the RFID tag of the a-th beef cattle transmitted the signal, e represents the natural constant.
In this embodiment, the signal evaluation coefficient of the RFID tag may be affected by the signal strength of the transmitted signal, the reflectivity of the transmitted signal, the signal return time of the transmitted signal, and the signal phase difference between the transmitted signal and the reader when the transmitted signal is read, for example, the stronger the signal strength of the transmitted signal is, the larger the signal evaluation coefficient of the RFID tag is, and the signal strength is affected by the reflectivity, and the signal phase difference is affected by the signal return time.
The signal strength of the RFID transmitting signal refers to the power density of the signal, which represents the energy of the signal in a unit area or a unit volume, the signal strength of the RFID transmitting signal can be measured by a receiver, and the value range of the signal strength of the RFID transmitting signal is 10-100dBm.
The reflectivity of an RFID emission signal refers to the proportion of incident waves reflected back when encountering an interface, and when the incident waves are totally reflected, the reflectivity is 100%; if no wave is reflected, the reflectivity is 0%, and the reflectivity of the RFID transmitting signal can be experimentally determined, and the value of the reflectivity of the RFID transmitting signal is in the range of 60-70%.
The signal return time of the RFID transmitting signal refers to the time required for the radar wave to be transmitted until the reflected signal is received, and this time depends on the target distance, the propagation speed and the operating frequency of the reader, and the signal return time of the RFID transmitting signal can be obtained by an accurate timestamp recorder, and the value of the signal return time of the RFID transmitting signal ranges from 1 to 10 μs.
The signal phase when the RFID transmits a signal and the signal phase when the reader receives a signal refer to physical quantities of waveforms that are located in time or space, and the phase difference can be used to describe a timing relationship between the two waveforms or the phase coordination of the two waves. In communication and radar systems, the phase difference can be used to demodulate information or to perform beam forming, the signal phase of the RFID transmitted signal and the signal phase of the reader received signal can be obtained by an oscilloscope, and the range of values of the signal phase of the RFID transmitted signal and the signal phase of the reader received signal is。
Further, the specific constraint formula of the beef cattle growth evaluation coefficient is as follows:
；
in the method, in the process of the invention, Represents a beef cattle growth evaluation coefficient of an i-th beef cattle for evaluating an effect of feed feeding on beef cattle growth, a represents a beef cattle number, RFID tag numbers are in one-to-one correspondence with the beef cattle numbers, a=1, 2,3,..,Indicating the total movement distance of the head a beef cattle in the preset time,Indicating the total feed intake of the a-th beef cattle in the preset time,Indicating the average body temperature of the a-th beef cattle within the preset time,Indicating the average weight of the a-th beef cattle within the preset time,Represents the standard body temperature of the beef cattle,The standard body weight of the beef feeding cycle is indicated, and e represents the natural constant.
In a specific embodiment, the growth coefficient of the beef cattle is comprehensively influenced by the movement distance of the beef cattle, the total feed intake of the beef cattle, the body temperature and the body weight of the beef cattle, for example, if the movement distance of the beef cattle is too high, the feed intake when the meal is increased, and when the body temperature of the beef cattle is too high, the feed intake when the meal is also influenced, so that comprehensive analysis is needed to obtain the growth coefficient of the beef cattle, and inaccurate data analysis is avoided.
In this embodiment, if the distance between the RFID tag and the reader exceeds the maximum reading distance of the reader, or if the signal quality of the RFID tag signal is too poor, the total moving distance, the total feed intake, the average body temperature of the beef cattle and the average weight of the beef cattle obtained from the RFID tag may be 0 or other extreme values, the beef cattle growth evaluation coefficient of the beef cattle may be too different from that of other beef cattle, and at this time, the distance between the RFID tag and the reader needs to be manually adjusted or the RFID tag of the beef cattle needs to be replaced.
In one embodiment, beef cattle growth assessment coefficient data are exemplified in the following table.
Table 1 beef cattle growth assessment coefficient data example
| Total distance of movement (km) | Total feed intake (kg) of beef cattle for a predetermined period of time | Body temperature (DEG C) | Standard body temperature (DEG C) | Body weight (t) | Standard weight (t) | Beef cattle growth evaluation coefficient |
| 1 | 3 | 39 | 39 | 0.2 | 0.2 | 0.828 |
| 1 | 3.25 | 39 | 39 | 0.2 | 0.2 | 0.833 |
| 1 | 3.5 | 39 | 39 | 0.2 | 0.2 | 0.839 |
| 1 | 3.75 | 39 | 39 | 0.2 | 0.2 | 0.845 |
| 1 | 4 | 39 | 39 | 0.2 | 0.2 | 0.850 |
From the data in table 1, it can be seen that the greater the total feed intake of the beef cattle during the beef cattle preset time, the higher the beef cattle growth evaluation coefficient, and the positive correlation between the total feed intake of the beef cattle and the beef cattle growth evaluation coefficient is achieved by observing the 1-5 groups of data when the total movement distance, the body temperature, the standard body weight and the body weight are fixed.
Fig. 2 is an image of beef cattle growth evaluation coefficients in the beef cattle farming intelligent monitoring system with adaptively adjusted RFID reading distance according to an embodiment of the present application, wherein,The abscissa independent variable of the curve is x, the curve of the function a is a curve obtained by changing the coefficient of the abscissa independent variable x from 1/e to 5/e for more obvious trend of the curve, the coefficient of the abscissa independent variable x is obtained by calculating through a formula, the coefficient of the abscissa independent variable x is kept unchanged by the total movement distance, the total feed intake of the beef cattle in the preset time, the temperature, the standard body temperature and the weight of the beef cattle are increased along with the increase of the total feed intake of the beef cattle in the preset time, the curve obtained by calculating through the formula, the curve b is a curve obtained by changing the coefficient 1/e of the abscissa independent variable x to 3/e, the coefficient of the abscissa independent variable x, the total feed intake of the beef cattle in the preset time, the temperature, the standard body temperature and the weight of the beef cattle are increased along with the increase of the total feed intake of the beef cattle in the preset time, the curve b is obtained by calculating through the formula, the coefficient of the function c is kept unchanged by the coefficient of the abscissa independent variable x along with the increase of the total feed intake of the beef cattle in the preset time, the coefficient of the overall feed intake of the beef cattle in the preset time, the curve b is obtained by calculating through the function c is obtained by calculating through a graph, and the image of the coefficient b is obviously increased along with the curve b is increased when the coefficient of the overall independent variable x is different from the graph is increased by the coefficient of the graph is more than the coefficient of the graph when the coefficient b is obviously increased by taking the coefficient b is smaller than the coefficient of the coefficient is smaller than the coefficient 1/graph is obtained when the graph is more than the graph is more apparent.
The total movement distance refers to the distance the beef cattle moves during a day. The movement of beef cattle can be monitored by movement monitoring devices such as RFID tags and readers, and the total movement distance can be in the range of about 1-2km.
The total feed intake of the beef cattle in the beef cattle preset time is the total feed intake of the beef cattle in one day, which is about 1.5 percent of the weight of the beef cattle, the total feed intake of the beef cattle in the beef cattle preset time can be subtracted from the residual feed amount through the total feed intake, and the total feed intake of the beef cattle in the beef cattle preset time is within the range of 3-4.5 kilograms.
The average body temperature of the beef cattle over a predetermined period of time may be monitored in real time by body temperature monitoring devices, which are typically integrated with RFID systems to automatically record body temperature data, typically in the normal range of 38-41 ℃.
The monitoring of the average weight of beef cattle in the preset time can be arranged on the necessary way of feeding the beef cattle, one cattle is operated at a time to obtain the weight of each cattle, the corresponding number can be obtained through the ear tag at the same time when the weight is obtained, the data are transmitted to the memory, and the normal range of the weight is 200-300t.
In summary, according to the technical scheme provided by the embodiment of the application, the beef cattle is monitored through the information returned by the RFID tag, however, in the beef cattle breeding process, the RFID tag may be damaged due to external force or the signal is lost or the transmission fails under the condition that the RFID tag exceeds the reading distance of the reader, and the problem of insufficient accuracy of the data acquired from the RFID tag exists.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of systems, apparatuses (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. Beef cattle breeding intelligent monitoring system of self-adaptation adjustment RFID reading distance, its characterized in that includes:
RFID tag reader module: the system comprises a reader, a control unit and a control unit, wherein the reader is used for periodically acquiring signal parameters of RFID and cattle basic data recorded by the RFID;
and the self-adaptive adjustment module is used for: the system comprises a reader, a signal parameter analyzer and a signal parameter analyzer, wherein the signal parameter analyzer is used for analyzing an RFID tag signal evaluation coefficient according to the signal parameter of the RFID, and dynamically adjusting the reader according to the RFID tag signal evaluation coefficient;
And the data processing and analyzing module is used for: the method is used for carrying out data analysis and monitoring according to cow basic data, cow breeding parameters, RFID signal parameters and RFID tag signal evaluation coefficients.
2. The intelligent beef cattle farming monitoring system for adaptively adjusting the RFID reading distance according to claim 1, wherein the dynamic adjustment of the reader according to the RFID tag signal evaluation coefficient comprises:
acquiring an RFID tag signal evaluation coefficient and comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold extracted from a database;
When the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, marking the RFID tag as a good tag, marking the signal parameter of the RFID acquired by a corresponding reader and the cattle basic data recorded by the RFID as the signal parameter of the good RFID and the cattle basic data recorded by the RFID respectively, and inputting the signal parameter and the cattle basic data into a data processing and analyzing module;
When the RFID tag signal evaluation coefficient is smaller than the RFID tag signal evaluation threshold, marking the RFID tag as a bad tag, adjusting a reader, and inputting the data obtained after adjustment into a data processing and analyzing module.
3. The intelligent beef cattle farming monitoring system for adaptively adjusting the reading distance of the RFID according to claim 2, wherein the steps of adjusting the reader and inputting the data obtained after the adjustment into the data processing and analyzing module are as follows:
gradually increasing the power of the corresponding reader until the power reaches a preset limit power;
comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold in real time;
When the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, respectively marking the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID as the signal parameters of the good RFID and the cow basic data, inputting the signal parameters and the cow basic data into the data processing and analyzing module, and stopping increasing the power of the corresponding reader;
When the power of the reader is increased to the preset limit power and the RFID tag signal evaluation coefficient is smaller than the FID tag signal evaluation threshold, the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, the bad RFID and the cow basic data are input into the data processing and analyzing module, and the power increase of the corresponding reader is stopped.
4. The intelligent beef cattle farming monitoring system for adaptively adjusting the reading distance of the RFID according to claim 2, wherein the steps of adjusting the reader and inputting the data obtained after the adjustment into the data processing and analyzing module are as follows:
Switching at least one standby reader to read signal parameters of the RFID and cattle basic data recorded by the RFID until all the standby readers traverse to read the bad tag;
When the RFID tag signal evaluation coefficient corresponding to the data read by at least one standby reader is larger than or equal to the RFID tag signal evaluation threshold, the signal parameter of the RFID and the cow basic data recorded by the RFID, which are obtained by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient, are respectively recorded as the signal parameter of the good RFID and the cow basic data, and are input into the data processing and analyzing module;
When the RFID tag signal evaluation coefficients corresponding to the data acquired by the standby continuous reader are smaller than the RFID tag signal evaluation threshold, the signal parameters of the RFID acquired by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, and the signal parameters and the cow basic data are input into the data processing and analyzing module.
5. The intelligent beef cattle farming monitoring system for adaptively adjusting the reading distance of the RFID according to claim 2, wherein the steps of adjusting the reader and inputting the data obtained after the adjustment into the data processing and analyzing module are as follows:
gradually increasing the power of the corresponding reader until the power reaches a preset limit power;
comparing the RFID tag signal evaluation coefficient with an RFID tag signal evaluation threshold in real time;
When the RFID tag signal evaluation coefficient is greater than or equal to the RFID tag signal evaluation threshold, respectively marking the signal parameters of the RFID acquired by the corresponding reader and the cow basic data recorded by the RFID as the signal parameters of the good RFID and the cow basic data, inputting the signal parameters and the cow basic data into the data processing and analyzing module, and stopping increasing the power of the corresponding reader;
when the power of the reader is increased to a preset limit power and the RFID tag signal evaluation coefficient is smaller than the FID tag signal evaluation threshold, switching at least one standby reader to read the signal parameters of the RFID and the cattle basic data recorded by the RFID until all the standby readers traverse to read the bad tag;
When the RFID tag signal evaluation coefficient corresponding to the data read by at least one standby reader is larger than or equal to the RFID tag signal evaluation threshold, the signal parameter of the RFID and the cow basic data recorded by the RFID, which are obtained by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient, are respectively recorded as the signal parameter of the good RFID and the cow basic data, and are input into the data processing and analyzing module;
When the RFID tag signal evaluation coefficients corresponding to the acquired data of the standby reader are smaller than the RFID tag signal evaluation threshold value, the signal parameters of the RFID acquired by the standby continuous reader corresponding to the maximum RFID tag signal evaluation coefficient and the cow basic data recorded by the RFID are respectively recorded as the signal parameters of the bad RFID and the cow basic data, and the signal parameters and the cow basic data are input into the data processing and analyzing module.
6. The intelligent beef cattle cultivation monitoring system capable of adaptively adjusting RFID reading distance according to claim 1,
The cattle basic data comprise: the total movement distance of the beef cattle within the preset time and the average body temperature of the beef cattle within the preset time;
The beef cattle breeding parameters comprise: total feed intake of beef cattle within a preset time and average weight of beef cattle within the preset time;
The signal parameters of the RFID include: the signal strength of the RFID tag transmitted signal, the reflectivity of the RFID tag transmitted signal, the signal return time of the RFID tag transmitted signal, the signal phase of the RFID tag transmitted signal, and the signal phase of the reader received signal when the RFID tag transmitted signal.
7. The intelligent beef cattle farming monitoring system for adaptively adjusting the RFID reading distance according to claim 1, wherein the data analysis and monitoring based on the cattle basic data, the beef cattle farming parameters, the RFID signal parameters, and the RFID tag signal evaluation coefficients comprises:
When basic data of the beef cattle are abnormal or when breeding parameters of the beef cattle are abnormal, narrowing the RFID tag data acquisition interval of the beef cattle, monitoring the data of the beef cattle for multiple times, and sending out reminding information;
inquiring and displaying the signal parameters of the RFID of the bad label according to the RFID label signal evaluation coefficient, and sending out reminding information.
8. The intelligent beef cattle breeding monitoring system for adaptively adjusting the RFID reading distance according to claim 1, wherein the specific process of analyzing the RFID tag signal evaluation coefficient according to the RFID signal parameter is as follows:
And comprehensively evaluating the signal quality of the RFID tag according to the signal intensity of the RFID tag transmitting signal, the reflectivity of the RFID tag transmitting signal, the signal return time of the RFID tag transmitting signal, the signal phase when the RFID tag transmitting signal and the signal phase when the RFID tag transmitting signal receives the signal by the reader, and comprehensively evaluating to obtain the RFID tag signal evaluation coefficient.
9. The intelligent beef cattle farming monitoring system for adaptively adjusting an RFID reading distance according to claim 7, wherein the specific constraint formula of the RFID tag signal evaluation coefficient is:
；
in the method, in the process of the invention, An RFID tag signal evaluation coefficient representing the first beef cattle, for evaluating the quality of the RFID signal, a representing the beef cattle number, the RFID tag number corresponding one-to-one to the beef cattle number, a=1, 2, 3..i, i representing the total number of beef cattle, the total number of RFID tags being consistent with the total number of beef cattle,Representing the signal strength of the signal transmitted by the RFID tag of the a-th beef cattle,Representing the reflectivity of the signal transmitted by the RFID tag of the beef cattle at a,A signal return time representing the signal transmitted by the RFID tag of the a-th beef cattle,Indicating the signal phase when the RFID tag of the a-th beef cattle transmits a signal,Representing the signal phase of the reader received signal when the RFID tag of the a-th beef cattle transmitted the signal, e represents the natural constant.
10. The intelligent beef cattle farming monitoring system for adaptively adjusting RFID reading distance of claim 7, further comprising:
And the comprehensive analysis module is used for: the beef cattle cultivation evaluation system is used for comprehensively evaluating the beef cattle cultivation evaluation coefficients according to the basic beef cattle data, the beef cattle cultivation parameters and the RFID tag signal evaluation coefficients, extracting beef cattle cultivation evaluation thresholds from the database, and adjusting is not needed when the beef cattle cultivation evaluation coefficients are larger than the beef cattle cultivation evaluation thresholds;
and when the beef cattle cultivation evaluation coefficient is smaller than the beef cattle cultivation evaluation threshold value, formulating and sending out an adjustment scheme according to the difference value of the beef cattle cultivation evaluation coefficient and the beef cattle cultivation evaluation threshold value.
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