Regional mouse prevention and control system based on intelligent mouse poisoning station

Abstract

The invention discloses a regional mouse prevention and control system based on an intelligent mouse poisoning station, and relates to the technical field of mouse prevention and control. Mouse activities and poison bait feeding conditions are monitored and recorded in real time, the deviation degree of poison bait consumption is judged, and the correlation between the poison bait consumption and the mouse activities is evaluated; the abnormal degree of the mouse activity range area is judged, and the interference on mouse activities after poison bait throwing is evaluated; then, the correlation between poison bait feeding and mouse activities and the interference on the mouse activities after poison bait feeding are comprehensively analyzed, and the poison bait feeding accuracy of the mouse poison station is evaluated; the poison bait feeding accuracy of the mouse poisoning station is divided, and the poison bait feeding strategy of the mouse poisoning station is intelligently optimized; after corresponding improvement measures are taken, the accuracy of poison bait throwing of the rat poison station is continuously evaluated, early warning is carried out in time when the accuracy of poison bait throwing is abnormal, the overall effect of regional rat prevention and control is improved, and meanwhile the adverse effect on an ecological system is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of rodent control, and in particular to a regional rodent control system based on an intelligent rodent poisoning station. Background Art

[0002] Regional rodent control based on smart rodent poisoning stations is a comprehensive method of monitoring and controlling rodent activity using modern technology. These rodent poisoning stations are equipped with sensors and communication equipment that can monitor rodent activity in real time and automatically release the appropriate amount of poison bait to kill rodents. By networking multiple smart rodent poisoning stations, an intelligent monitoring system covering the entire control area can be formed to detect and respond to rodent invasions in a timely manner, improve control efficiency, and reduce environmental impact.

[0003] The advantage of this method is that it can achieve precise prevention and control and information management. The intelligent rat poison station can record data on rat activities, help analyze the distribution and reproduction of rats, and thus formulate more effective prevention and control strategies. At the same time, the automated bait placement reduces the workload and errors of manual operations, ensures the safety and effectiveness of the bait, reduces the risk of non-target organisms, and achieves a more environmentally friendly and sustainable rodent control.

[0004] The shortcomings of the prior art:

[0005] Although the smart rat poison station is designed to precisely place poison bait, it may still have unexpected effects on the regional ecosystem. The existing rat house cannot effectively feedback its location, and there are often cases of missed detection and failure to add rat valleys. At the same time, human feedback is required on the feeding of rats and rat activities in the station; and the monitoring of rat density can only be carried out through manual sampling. Due to the large differences in environmental changes in the area, the authenticity, operability and errors of the data are large. If the poison bait is not placed properly, it may be accidentally eaten by other non-target organisms, which may lead to the death of these species, thereby disrupting the local ecological balance. For example, poison bait may be ingested by birds, pets or other wild animals, causing accidental injury or death, which in turn affects other links in the ecological chain. Summary of the invention

[0006] The object of the present invention is to provide a regional rodent control system based on an intelligent rodent poisoning station to solve the deficiencies in the background technology.

[0007] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a regional rodent control system based on an intelligent rodent poisoning station, comprising a data recording module, a consumption analysis module, an interference assessment module, a comprehensive analysis module, an accuracy classification module and a continuous assessment module;

[0008] Data recording module: Determine the quantity and frequency of poison bait placement according to the specific area of ​​rodent control and the distribution of rat poison stations. Use the monitoring equipment installed around the intelligent rat poison stations to record rodent activities and bait feeding in real time.

[0009] Consumption analysis module: After arranging and classifying the collected data, the poison bait delivery pattern of the intelligent rat poison station is analyzed to determine the deviation degree of poison bait consumption and evaluate the correlation between poison bait consumption and rodent activity;

[0010] Interference assessment module: Analyze the activities of rodents after the poison bait is placed, determine the degree of abnormality in the area of ​​rodent activity, and assess the interference of the poison bait on rodent activities;

[0011] Comprehensive analysis module: Comprehensively analyze the correlation between poison bait placement and rodent activities and the interference of poison bait placement on rodent activities, and evaluate the accuracy of poison bait placement at the rodent poisoning station;

[0012] Accuracy classification module: Based on the evaluation results, the accuracy of poison bait placement at the rat poison station is divided into high-accuracy placement, general-accuracy placement, and low-accuracy placement, and corresponding improvement suggestions are put forward to intelligently optimize the poison bait placement strategy of the rat poison station;

[0013] Continuous evaluation module: After implementing corresponding improvement measures, the accuracy of poison bait placement at the rat poisoning station will be continuously evaluated, and timely warnings will be issued when the accuracy of poison bait placement is abnormal, thereby improving the overall effect of regional rodent control.

[0014] In a preferred embodiment, in the consumption analysis module, the bait delivery mode of the intelligent rat poison station is analyzed, and the bait consumption deviation index is obtained according to the change of bait consumption in different time periods, and the correlation between bait consumption and rodent activity is evaluated. The method for obtaining the bait consumption deviation index is:

[0015] The Apriori algorithm is used to identify the consumption patterns of poison baits that frequently occur in different time periods. The time period and the consumption of poison baits are used as items, and the Apriori algorithm is used to find the consumption patterns of poison baits that frequently occur in different time periods.

[0016] For each frequent item set, calculate the mean of its actual poison bait consumption. The specific calculation expression is: Where RT n is the average of the actual consumption of poison bait, a is the time period, xb a is the actual consumption of poison bait in time period a, and N is the total number of time periods. According to the calculated average of the actual consumption of poison bait, the fluctuation value of the consumption of poison bait is calculated. The specific calculation expression is: Where, PD zx is the fluctuation value of poison bait consumption;

[0017] The calculated actual bait consumption mean and bait consumption fluctuation value are compared and analyzed to calculate the bait consumption deviation index. The specific calculation expression is: Where XB is the actual consumption of poison bait in a certain period of time, PM fc It is the bait consumption deviation index.

[0018] In a preferred embodiment, the acquired poison bait consumption deviation index is compared with a poison bait consumption deviation index reference threshold. If the poison bait consumption deviation index is greater than or equal to the poison bait consumption deviation index reference threshold, an abnormal poison bait consumption signal is generated; if the poison bait consumption deviation index is less than the poison bait consumption deviation index reference threshold, a normal poison bait consumption signal is generated.

[0019] In a preferred embodiment, in the interference assessment module, the changes in the range of rodent activity before and after the release of the poison bait are compared to determine whether the range of rodent activity is abnormal. According to the abnormal decay rate index of the rodent activity range, the interference of the poison bait release to the rodent activity is evaluated. The method for obtaining the abnormal decay rate index is as follows:

[0020] The time series data of rodent activity range is preprocessed, and the exponential smoothing method is used to fit the preprocessed time series data of rodent activity range to calculate the smoothed prediction value. The specific calculation expression is: QW t+h =(1-P)(l t +b t )+P*QW t ; where, QW t+h is the predicted value of h time units after time t, P is the smoothing coefficient, l t is the level value at time t, b t is the trend value at time t, QW t is the actual observed value at time t;

[0021] According to the smoothed prediction value, the decay rate of the rodent activity range is calculated. The decay rate is calculated by the change ΔYt of the rodent activity range and the time interval Δt. The specific calculation expression is: Where RT is the decay rate, and the calculation expression of the change in the range of mouse activity ΔYt is: ΔYt=|QW t+h -QW t |;

[0022] According to the calculated decay rate of the rodent activity range, the decay rate abnormality index is calculated. The specific calculation expression is: In the formula, PR xg is the decay rate anomaly index, and RTM is the decay rate value predicted by the exponential smoothing method.

[0023] In a preferred embodiment, the acquired attenuation rate abnormality index is compared with the attenuation rate abnormality index reference threshold. If the attenuation rate abnormality index is greater than or equal to the attenuation rate abnormality index reference threshold, a rodent activity attenuation abnormality signal is generated; if the attenuation rate abnormality index is less than the attenuation rate abnormality index reference threshold, no rodent activity attenuation abnormality signal is generated.

[0024] In a preferred embodiment, in the comprehensive analysis module, the correlation between poison bait placement and rodent activities and the interference of poison bait placement on rodent activities are comprehensively analyzed, specifically:

[0025] The bait consumption deviation index and the decay rate abnormal index are normalized, and the accuracy coefficient of the poison bait placement in the rat poisoning station is calculated based on the normalized bait consumption deviation index and the decay rate abnormal index.

[0026] In a preferred embodiment, in the accuracy classification module, the accuracy of poison bait placement at the rat poison station is divided into high accuracy placement, general accuracy placement, and low accuracy placement, specifically:

[0027] The accuracy coefficient of the poison bait placement at the rat poisoning station obtained in real time is compared with the gradient standard threshold, the gradient standard threshold includes a first standard threshold and a second standard threshold, and the first standard threshold is less than the second standard threshold, and the accuracy coefficient of the poison bait placement at the rat poisoning station obtained is compared with the first standard threshold and the second standard threshold respectively;

[0028] If the accuracy coefficient of the poison bait placement at the rat poisoning station is greater than the second standard threshold, the accuracy of the poison bait placement at the rat poisoning station is classified as high-accuracy placement; if the accuracy coefficient of the poison bait placement at the rat poisoning station is greater than or equal to the first standard threshold and less than or equal to the second standard threshold, the accuracy of the poison bait placement at the rat poisoning station is classified as general accuracy placement; if the accuracy coefficient of the poison bait placement at the rat poisoning station is less than the first standard threshold, the accuracy of the poison bait placement at the rat poisoning station is classified as low-accuracy placement.

[0029] In a preferred embodiment, in the continuous evaluation module, after implementing corresponding improvement measures, the accuracy of poison bait placement at the rat poison station is continuously evaluated, specifically:

[0030] The accuracy of poison bait placement in rat poisoning stations is continuously evaluated, and the accuracy coefficient of poison bait placement in rat poisoning stations over a period of time is further analyzed. For each time point s1, s2, s3, ..., s x ,...,s nThe accuracy coefficients of poison bait placement at rat poisoning stations at corresponding time points are obtained in sequence, and the corresponding data sets are established. The Z-score algorithm is used to perform anomaly detection on the accuracy coefficients of poison bait placement at rat poisoning stations in the data set, and the Z-score value of the accuracy coefficient, i.e., the risk index, is calculated.

[0031] In a preferred embodiment, the method for obtaining the risk index is: respectively calculating the mean value μ and the standard deviation σ of the accuracy coefficient data set, and the specific calculation expression is: Wherein, x is the index of the time point, wherein x=1, 2, 3, ..., n, and n is a positive integer greater than 0; For each time point, the corresponding Z-score value is calculated for the accuracy coefficient, that is, the risk index is calculated. The specific calculation expression is: In the formula, zs x Is the risk index.

[0032] In a preferred embodiment, the acquired risk index is compared with the risk index reference threshold. If the risk index is greater than or equal to the risk index reference threshold, a warning signal is generated; if the risk index is less than the risk index reference threshold, no warning signal is generated and no adjustment is required.

[0033] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0034] 1. The present invention can effectively reduce the waste of poison bait and accidental injury to non-target organisms through the precise placement and continuous monitoring of intelligent rat poison stations, thereby improving the efficiency and accuracy of rodent control. Secondly, through a comprehensive analysis of rodent activity, bait consumption, and correlation before and after the placement of poison bait, the accuracy of the poison bait placement at the rat poison station can be effectively evaluated, so as to timely adjust and optimize the placement strategy and further improve the control effect. Finally, the introduction of a continuous evaluation and early warning mechanism can detect abnormal situations in a timely manner and take corresponding measures to ensure the effective implementation of the poison bait placement strategy at the rat poison station and ensure the smooth progress of rodent control work.

[0035] 2. The present invention can minimize the impact on non-target organisms and effectively protect the ecological balance through precise monitoring and placement of intelligent rat poison stations. Secondly, the continuous evaluation of rodent activity and poison bait consumption before and after placement enables the placement strategy to be flexibly adjusted according to actual conditions, thereby improving the prevention and control effect. In addition, the introduction of a continuous evaluation and early warning mechanism can promptly detect and respond to abnormal placements, thereby ensuring the stability and efficiency of prevention and control work. In summary, this solution not only has advantages in protecting the ecological environment, but can also improve the overall level and effectiveness of prevention and control work through continuous improvement. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0037] Figure 1 The figure is a flow chart of the method of the present invention.

[0038] Figure 2 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are 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.

[0040] Example 1

[0041] See also Figure 1 , 2 As shown, the regional rodent control system based on the intelligent rodent poisoning station described in this embodiment includes a data recording module, a consumption analysis module, an interference assessment module, a comprehensive analysis module, an accuracy classification module and a continuous assessment module;

[0042] Data recording module: Determine the quantity and frequency of poison bait placement according to the specific area of ​​rodent control and the distribution of rat poison stations. Use the monitoring equipment installed around the intelligent rat poison stations to record rodent activities and bait feeding in real time.

[0043] Consumption analysis module: After arranging and classifying the collected data, the poison bait delivery pattern of the intelligent rat poison station is analyzed to determine the deviation degree of poison bait consumption and evaluate the correlation between poison bait consumption and rodent activity;

[0044] Interference assessment module: Analyze the activities of rodents after the poison bait is placed, determine the degree of abnormality in the area of ​​rodent activity, and assess the interference of the poison bait on rodent activities;

[0045] Comprehensive analysis module: Comprehensively analyze the correlation between poison bait placement and rodent activities and the interference of poison bait placement on rodent activities, and evaluate the accuracy of poison bait placement at the rodent poisoning station;

[0046] Accuracy classification module: Based on the evaluation results, the accuracy of poison bait placement at the rat poison station is divided into high-accuracy placement, general-accuracy placement, and low-accuracy placement, and corresponding improvement suggestions are put forward to intelligently optimize the poison bait placement strategy of the rat poison station;

[0047] Continuous evaluation module: After implementing corresponding improvement measures, the accuracy of poison bait placement at the rat poisoning station will be continuously evaluated, and timely warnings will be issued when the accuracy of poison bait placement is abnormal, thereby improving the overall effect of regional rodent control.

[0048] Among them, in the data recording module, the quantity and frequency of poison bait placement are determined according to the specific area of ​​rodent control and the distribution of rat poisoning stations. The monitoring equipment installed around the intelligent rat poisoning stations is used to record rodent activities and the feeding of poison bait in real time.

[0049] First, we need to identify the specific area where rodent control is needed, such as a community, a farmland, or a warehouse. The size and terrain characteristics of this area will affect the layout of the rodent poison station and the strategy of placing poison bait. According to the characteristics of the control area, the intelligent rodent poison stations are reasonably distributed in places where rodents are active. Usually, places where rodents often appear are selected, such as garbage dumps, food storage areas, sewer outlets, etc.

[0050] The number of poison baits to be placed at each poison station is determined based on the intensity of rodent activity and the distribution of the stations. Areas with high activity require more poison baits, while areas with low activity can reduce the amount. Determining the frequency of poison bait placement is key, taking into account the reproductive cycle and activity patterns of rodents. Generally speaking, you can decide whether to place poison baits daily, weekly, or monthly based on monitoring data and historical data.

[0051] Monitoring equipment, such as cameras and sensors, are installed around each smart rat poison station to record the activities of rats and the feeding of poison baits in real time. The monitoring equipment transmits real-time data to the central control system, recording the frequency of rat activity, the speed of poison bait consumption, and the specific time when rats feed at each rat poison station.

[0052] Combine the smart rat poison station with a variety of sensors and communication equipment to monitor rodent activities. The sensors and communication equipment include infrared sensors, gravity sensors, locators and single-chip microcomputers, etc., and establish communication connections through 4G networks;

[0053] Infrared sensor: used to identify target rats entering the rat poison station, avoid accidental injury to other animals, and ensure accurate delivery of poison bait.

[0054] Gravity sensor: monitors the weight changes of the rat bait in the rat poison house. Once the rat bait is almost used up, the system will sound an alarm to prompt you to replenish the rat bait in time to maintain the prevention and control effect.

[0055] 4G network: used to realize the ability of equipment and remote communication, which is convenient for management personnel to remotely monitor and manage, and at the same time digitize the operating status of the equipment to provide more convenient data support for prevention and control work.

[0056] Positioner and single-chip microcomputer: realize real-time monitoring of the location and quantity of equipment. Through the map display function, managers can clearly understand the location and number of rat houses and adjust prevention and control strategies in time.

[0057] Various devices can transmit the real-time collected data to the monitoring center or mobile phone by realizing the remote communication function, so as to realize remote monitoring and management. The gravity sensor can detect the tilt and shaking of the equipment. Once the equipment is illegally moved or damaged, the system will issue an alarm and notify the relevant personnel in time. The locator can realize the real-time positioning of the equipment, which is convenient for the management personnel to understand the location information of the equipment and quickly arrive at the scene for processing. The single-chip microcomputer can control the operation logic and data processing of the equipment, so that the equipment has intelligent management functions. The infrared sensor can be used to detect the surrounding environment. Once there is rodent activity, the equipment can be triggered to work, realizing accurate rodent monitoring and prevention. The comprehensive use of these technologies can create a set of efficient and intelligent rodent prevention equipment to improve the prevention and control effect and reduce resource waste.

[0058] Consumption analysis module: After arranging and classifying the collected data, the poison bait delivery pattern of the intelligent rat poison station is analyzed to determine the degree of deviation in the consumption of poison bait and to evaluate the correlation between the consumption of poison bait and rodent activity.

[0059] In the intelligent rat poison station system, data collection and organization are the basis. After obtaining detailed rat activity data and poison bait consumption data through monitoring equipment, it is necessary to systematically organize and classify them for subsequent analysis. After organization and classification, analyzing the poison bait delivery pattern is a key step. By identifying the delivery pattern and evaluating the deviation of the delivery amount, it is possible to understand whether each rat poison station complies with the predetermined prevention and control strategy in actual operation.

[0060] Furthermore, by evaluating the correlation between bait placement and rodent activity, the effectiveness of the existing placement strategy can be determined. For example, if a rodent poisoning station has frequent rodent activity during a specific period of time, but the consumption of bait is insufficient, the amount of bait placed may need to be increased. On the contrary, if it is found that the amount of bait placed is large but rodent activity decreases, the amount of bait placed may need to be reduced or the placement time may need to be adjusted.

[0061] The bait placement pattern of the intelligent rat poisoning station was analyzed, and the bait consumption deviation index was obtained according to the changes in bait consumption in different time periods. The correlation between bait consumption and rodent activity was evaluated. The method for obtaining the bait consumption deviation index is as follows:

[0062] The Apriori algorithm is used to identify the consumption patterns of poison baits that frequently occur in different time periods. The time period and the consumption of poison baits are used as items, and the Apriori algorithm is used to find the consumption patterns of poison baits that frequently occur in different time periods.

[0063] For each frequent item set, which refers to a combination of items that frequently appear in a data set, the mean of its actual poison bait consumption is calculated. The specific calculation expression is: Where RT n is the average of the actual consumption of poison bait, a is the time period, xb a is the actual consumption of poison bait in time period a, and N is the total number of time periods. According to the calculated average of the actual consumption of poison bait, the fluctuation value of the consumption of poison bait is calculated. The specific calculation expression is: In the formula, PD zx is the fluctuation value of poison bait consumption;

[0064] The calculated actual bait consumption mean and bait consumption fluctuation value are compared and analyzed to calculate the bait consumption deviation index. The specific calculation expression is: Where XB is the actual consumption of poison bait in a certain period of time, PM fc It is the bait consumption deviation index.

[0065] The obtained poison bait consumption deviation index is compared with the poison bait consumption deviation index reference threshold. If the poison bait consumption deviation index is greater than or equal to the poison bait consumption deviation index reference threshold, it means that the correlation between poison bait placement and rodent activity is weaker. At this time, an abnormal poison bait consumption signal is generated, and the placement strategy may need to be adjusted to improve the effect; if the poison bait consumption deviation index is less than the poison bait consumption deviation index reference threshold, it means that the correlation between poison bait placement and rodent activity is stronger. At this time, a normal poison bait consumption signal is generated, indicating that the current placement strategy is relatively effective.

[0066] If the bait consumption deviation index is large, it means that there is a large difference between the amount of bait placed in a certain period of time and the actual activity needs of rodents. This may mean that too much bait was placed, resulting in some bait not being eaten by rodents, or the activity level of rodents is lower than expected, resulting in insufficient consumption of bait. In this case, the placement strategy may need to be adjusted to better meet the actual needs of rodent activities and improve the prevention and control effect.

[0067] On the contrary, if the bait consumption deviation index is small, it means that there is a small difference between the amount of bait released and the actual activity needs of rodents. This shows that the amount of bait released is moderate and can meet the actual needs of rodents, thus improving the effectiveness of the release strategy to a certain extent. In this case, the release strategy is relatively stable and can be maintained or fine-tuned to further optimize the control effect.

[0068] Interference assessment module: Analyze the activities of rodents after the poison bait is placed, determine the degree of abnormality in the area of ​​rodent activity, and evaluate the interference of the poison bait on rodent activities.

[0069] By comparing the changes in the range of rodent activity before and after the poison bait is placed, it can be determined whether there is an abnormality in the range of rodent activity. The higher the degree of abnormality, the more obvious the change in the range of rodent activity, which may be caused by the placement of poison bait. By analyzing the changes in rodent activity after the poison bait is placed, it is possible to evaluate the interference of the poison bait placement on rodent activity. If the rodent activity is significantly reduced or the original activity pattern is changed after the poison bait is placed, it may indicate that the poison bait placement has caused some interference to the rodent activity.

[0070] Compare the changes in the range of rodent activity before and after the release of poison bait to determine whether there is any abnormality in the range of rodent activity. According to the abnormal attenuation rate index of the rodent activity range, evaluate the interference of poison bait release on rodent activity. The method for obtaining the abnormal attenuation rate index is as follows:

[0071] The time series data of rodent activity range is preprocessed, and the exponential smoothing method is used to fit the preprocessed time series data of rodent activity range to calculate the smoothed prediction value. The specific calculation expression is: QW t+h =(1-P)(l t +b t )+P*QW t ; where, QW t+h is the predicted value of h time units after time t, P is the smoothing coefficient, which is used to control the weight of historical observations, and its value range is between 0 and 1. t is the level value at time t, b t is the trend value at time t, QW t is the actual observed value at time t;

[0072] According to the smoothed prediction value, the decay rate of the rodent activity range is calculated. The decay rate reflects the changing trend of the rodent activity range. The decay rate is calculated by the change ΔYt of the rodent activity range and the time interval Δt. The specific calculation expression is: Where RT is the decay rate, and the calculation expression of the change in the range of mouse activity ΔYt is: ΔYt=|QW t+h -QW t |;

[0073] According to the calculated decay rate of the rodent activity range, the decay rate abnormality index is calculated. The specific calculation expression is: In the formula, PR xg is the decay rate anomaly index, and RTM is the decay rate value predicted by the exponential smoothing method.

[0074] The obtained attenuation rate anomaly index is compared with the attenuation rate anomaly index reference threshold. If the attenuation rate anomaly index is greater than or equal to the attenuation rate anomaly index reference threshold, it means that the interference with rodent activities after the poison bait is released is not obvious, and a rodent activity attenuation anomaly signal is generated at this time; if the attenuation rate anomaly index is less than the attenuation rate anomaly index reference threshold, it means that the interference with rodent activities after the poison bait is released is more obvious, and no rodent activity attenuation anomaly signal is generated at this time.

[0075] When the decay rate anomaly index is large, it means that there is a large difference between the actual observed decay rate and the expected rate. This may be due to abnormal changes in the range of rodent activity after the poison bait is placed, such as a sudden expansion or contraction of the activity range, a drastic change in activity density, etc. In this case, the placement of poison bait has a strong interference with rodent activity, which may affect the normal activity pattern and ecological environment of rodents.

[0076] On the contrary, if the decay rate anomaly index is small, it means that the difference between the actual observed decay rate and the expected rate is small. This shows that after the poison bait is released, the change in the range of rodent activity is relatively stable, which is basically consistent with the expected change trend. In this case, the interference of poison bait release on rodent activity is relatively light, and rodents may gradually adapt to the new environment and maintain a relatively normal activity pattern.

[0077] Comprehensive analysis module: Comprehensively analyze the correlation between poison bait placement and rodent activities and the interference of poison bait placement on rodent activities, and evaluate the accuracy of poison bait placement at rat poisoning stations.

[0078] The bait consumption deviation index and the decay rate abnormal index are normalized, and the accuracy coefficient of the poison bait placement in the rat poisoning station is calculated based on the normalized bait consumption deviation index and the decay rate abnormal index.

[0079] For example, the present invention can use the following formula to calculate the accuracy coefficient of the poison bait placement at the rat poison station, and the calculation expression is: In the formula, ZP G is the accuracy coefficient, PM fc is the bait consumption deviation index, PR xg is the abnormal index of decay rate, a1 and a2 are the proportional coefficients of the poison bait consumption deviation index and the abnormal index of decay rate, and a2>a1>0;

[0080] It can be seen from the calculation expression that the poison bait consumption deviation index and the decay rate abnormal index are inversely proportional to the accuracy coefficient, and with the increase of the poison bait consumption deviation index and the decay rate abnormal index, the accuracy coefficient gradually decreases, and the accuracy of poison bait placement in the rat poisoning station is also gradually decreasing.

[0081] Accuracy classification module: Based on the evaluation results, the accuracy of poison bait placement at the rat poison station is divided into high-accuracy placement, general-accuracy placement, and low-accuracy placement, and corresponding improvement suggestions are put forward to intelligently optimize the poison bait placement strategy of the rat poison station.

[0082] Compare the accuracy coefficient of the poison bait placement at the rat poisoning station obtained in real time with the gradient standard threshold, the gradient standard threshold in the present application includes a first standard threshold and a second standard threshold, and the first standard threshold is less than the second standard threshold, and compare the accuracy coefficient of the poison bait placement at the rat poisoning station obtained with the first standard threshold and the second standard threshold respectively;

[0083] If the accuracy coefficient of poison bait placement at the rat poisoning station is greater than the second standard threshold, it means that the accuracy of poison bait placement at the rat poisoning station is higher, and the accuracy of poison bait placement at the rat poisoning station is classified as high-accuracy placement. It is recommended to maintain the current poison bait placement strategy and monitor the subsequent placement to ensure the stability and sustainability of high-accuracy placement;

[0084] If the accuracy coefficient of the poison bait placement at the rat poisoning station is greater than or equal to the first standard threshold and less than or equal to the second standard threshold, it means that the accuracy of the poison bait placement at the rat poisoning station is moderate, and the accuracy of the poison bait placement at the rat poisoning station is classified as general accuracy placement. It is recommended to make appropriate adjustments to the placement strategy to improve the accuracy of the placement, such as adjusting the placement location, placement time or placement amount and other parameters, and continue to monitor the placement effect;

[0085] If the accuracy coefficient of the poison bait placement at the rat poison station is less than the first standard threshold, it means that the accuracy of the poison bait placement at the rat poison station is lower. The accuracy of the poison bait placement at the rat poison station is classified as low-accuracy placement. It is recommended to comprehensively review and improve the placement strategy. It may be necessary to re-evaluate the settings of the placement location, placement time, placement amount, etc., and take effective measures to improve the accuracy of placement.

[0086] For different levels of accuracy delivery, corresponding optimization strategies and improvement suggestions are proposed. For example, for high-accuracy delivery, it is recommended to maintain the current delivery strategy and strengthen monitoring to ensure stability. For general accuracy delivery, it is recommended to adjust the delivery strategy and continuously monitor the delivery effect. For low-accuracy delivery, it is recommended to thoroughly review and redesign the delivery strategy, which may require strengthening technical equipment or improving delivery plans.

[0087] In this embodiment, according to the specific area of ​​rodent control and the distribution of rat poison stations, the quantity and frequency of poison bait placement are determined, and the rodent activities and bait feeding conditions are recorded in real time through the monitoring equipment installed around the intelligent rat poison station; after the collected data are sorted and classified, the poison bait placement mode of the intelligent rat poison station is analyzed to determine the deviation degree of poison bait consumption and evaluate the correlation between poison bait consumption and rodent activities; the activities of rodents after poison bait placement are analyzed to determine the abnormal degree of the rodent activity range area and evaluate the interference of poison bait placement on rodent activities; the correlation between poison bait placement and rodent activities and the interference of poison bait placement on rodent activities are comprehensively analyzed to evaluate the accuracy of poison bait placement in the rat poison station; according to the evaluation results, the accuracy of poison bait placement in the rat poison station is divided into high accuracy placement, general accuracy placement, and low accuracy placement, and corresponding improvement suggestions are put forward to optimize the poison bait placement strategy of the intelligent rat poison station. The poison bait placement strategy of the intelligent rat poison station can be effectively optimized to improve the effect and accuracy of rodent control.

[0088] Example 2

[0089] Continuous evaluation module: After implementing corresponding improvement measures, the accuracy of poison bait placement at the rat poisoning station will be continuously evaluated, and timely warnings will be issued when the accuracy of poison bait placement is abnormal, thereby improving the overall effect of regional rodent control.

[0090] By continuously evaluating the accuracy of bait placement at the rat poisoning station, timely discovering and correcting problems in placement, ensuring that the bait can effectively kill the target rodents, and thus improving the prevention and control effect, it can avoid waste of resources and blind placement, improve resource utilization efficiency, and reduce costs.

[0091] The accuracy of poison bait placement in rat poisoning stations is continuously evaluated, and the accuracy coefficient of poison bait placement in rat poisoning stations over a period of time is further analyzed. For each time point s1, s2, s3, ..., s x ,...,s n The accuracy coefficients of poison bait placement at rat poisoning stations at corresponding time points are obtained in sequence, and the corresponding data sets are established. The Z-score algorithm is used to perform anomaly detection on the accuracy coefficients of poison bait placement at rat poisoning stations in the data set, and the Z-score value of the accuracy coefficient, i.e., the risk index, is calculated.

[0092] Calculate the mean value μ and standard deviation σ of the accuracy coefficient data set respectively. The specific calculation expression is: Wherein, x is the index of the time point, wherein x=1, 2, 3, ..., n, and n is a positive integer greater than 0; For each time point, the corresponding Z-score value is calculated for the accuracy coefficient, that is, the risk index is calculated. The specific calculation expression is: In the formula, zs x Is the risk index.

[0093] The obtained risk index is compared with the reference threshold of the risk index. If the risk index is greater than or equal to the reference threshold of the risk index, it means that the accuracy coefficient of the poison bait release strategy of the poison bait release station after optimization is likely to be abnormal within a period of time. At this time, an early warning signal is generated and notified to the relevant responsible persons or managers in a timely manner. After confirming the early warning signal, the emergency plan is immediately initiated. The relevant responsible persons should take corresponding measures to deal with abnormal situations according to the pre-established processes and plans, which may include adjusting the release strategy, increasing the monitoring frequency, and strengthening on-site inspections.

[0094] If the risk index is less than the reference threshold of the risk index, it means that the accuracy coefficient of the optimized rat poisoning station's poison bait placement strategy over a period of time is less likely to be abnormal. At this time, no warning signal is generated and no adjustment is required.

[0095] If it is confirmed that there is indeed an abnormality in the accuracy of poison bait placement, timely feedback will be provided to relevant personnel to find out the cause of the abnormality. Possible causes include technical failure, human error, environmental changes, etc. Take appropriate corrective measures according to the cause of the abnormality. For example, repair technical equipment, recalibrate parameters, strengthen personnel training, etc. Analyze the abnormal situation and think about how to improve the poison bait placement strategy of the rat poison station to avoid similar problems from happening again. This may include adjusting parameters such as placement time, location, quantity, or improving monitoring and early warning mechanisms. After taking corrective measures, continue to monitor the accuracy of poison bait placement and regularly evaluate risk indexes. Ensure that abnormal situations are effectively resolved to avoid recurrence.

[0096] In the present embodiment, by continuously evaluating the accuracy of poison bait placement at the rat poison station and timely warning, in the implementation process of the optimized rat poison station poison bait placement strategy, possible problems can be discovered and corrected to ensure that the poison bait can effectively lure and kill the target rodents, thereby improving the prevention and control effect. This continuous evaluation mechanism can not only avoid the waste of resources and the blindness of placement, but also improve the utilization efficiency of resources and reduce costs. When the risk index is greater than or equal to its reference threshold, it means that there is a high probability of abnormality in the accuracy of poison bait placement, which will trigger an early warning signal, prompting relevant personnel to take countermeasures in time to ensure that the problem can be solved in time. If the risk index is less than its reference threshold, it indicates that the accuracy of poison bait placement is within the normal range and no additional processing is required. Through the steps of continuous monitoring, investigation of causes, corrective measures and improvement strategies, the effective implementation of the poison bait placement strategy of the rat poison station can be guaranteed, thereby improving the overall effect of regional rodent prevention and control.

[0097] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0098] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0099] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0100] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0101] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0103] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0104] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. Regional rodent control system based on intelligent rodent poisoning station, characterized by: It includes data recording module, consumption analysis module, interference assessment module, comprehensive analysis module, accuracy classification module and continuous assessment module; Data recording module: Determine the quantity and frequency of poison bait placement according to the specific area of ​​rodent control and the distribution of rat poison stations. Use the monitoring equipment installed around the intelligent rat poison stations to record rodent activities and bait feeding in real time. Consumption analysis module: After arranging and classifying the collected data, the poison bait delivery pattern of the intelligent rat poison station is analyzed to determine the deviation degree of poison bait consumption and evaluate the correlation between poison bait consumption and rodent activity; Interference assessment module: Analyze the activities of rodents after the poison bait is placed, determine the degree of abnormality in the area of ​​rodent activity, and assess the interference of the poison bait on rodent activities; Comprehensive analysis module: Comprehensively analyze the correlation between poison bait placement and rodent activities and the interference of poison bait placement on rodent activities, and evaluate the accuracy of poison bait placement at the rodent poisoning station; Accuracy classification module: Based on the evaluation results, the accuracy of poison bait placement at the rat poison station is divided into high-accuracy placement, general-accuracy placement, and low-accuracy placement, and corresponding improvement suggestions are put forward to intelligently optimize the poison bait placement strategy of the rat poison station; Continuous evaluation module: After implementing corresponding improvement measures, the accuracy of poison bait placement at the rat poisoning station will be continuously evaluated, and timely warnings will be issued when the accuracy of poison bait placement is abnormal, thereby improving the overall effect of regional rodent control.

2. The regional rodent control system based on the intelligent rodent poisoning station according to claim 1 is characterized in that: In the consumption analysis module, the bait placement pattern of the intelligent rat poisoning station is analyzed, and the bait consumption deviation index is obtained according to the changes in bait consumption in different time periods. The correlation between bait consumption and rodent activity is evaluated. The method for obtaining the bait consumption deviation index is as follows: The Apriori algorithm is used to identify the consumption patterns of poison baits that frequently occur in different time periods. The time period and the consumption of poison baits are used as items, and the Apriori algorithm is used to find the consumption patterns of poison baits that frequently occur in different time periods. For each frequent item set, calculate the mean of its actual poison bait consumption. The specific calculation expression is: In the formula, RTn is the average of the actual consumption of poison bait, a is the time period, xb a is the actual consumption of poison bait in time period a, and N is the total number of time periods. According to the calculated average of the actual consumption of poison bait, the fluctuation value of the consumption of poison bait is calculated. The specific calculation expression is: In the formula, PD zx is the fluctuation value of poison bait consumption; The calculated actual bait consumption mean and bait consumption fluctuation value are compared and analyzed to calculate the bait consumption deviation index. The specific calculation expression is: Where XB is the actual consumption of poison bait in a certain period of time, PM fc It is the bait consumption deviation index.

3. The regional rodent control system based on the intelligent rodent poisoning station according to claim 2 is characterized in that: The obtained poison bait consumption deviation index is compared with the poison bait consumption deviation index reference threshold. If the poison bait consumption deviation index is greater than or equal to the poison bait consumption deviation index reference threshold, an abnormal poison bait consumption signal is generated; if the poison bait consumption deviation index is less than the poison bait consumption deviation index reference threshold, a normal poison bait consumption signal is generated.

4. The regional rodent control system based on the intelligent rodent poisoning station according to claim 1 is characterized in that: In the interference assessment module, the changes in the range of rodent activity before and after the release of poison bait are compared to determine whether the range of rodent activity is abnormal. Based on the abnormal attenuation rate index of the rodent activity range, the interference of poison bait release on rodent activity is evaluated. The method for obtaining the abnormal attenuation rate index is as follows: The time series data of rodent activity range is preprocessed, and the exponential smoothing method is used to fit the preprocessed time series data of rodent activity range to calculate the smoothed prediction value. The specific calculation expression is: QW t+h =(1-P)(l t +b t )+P*QW t ; where, QW t+h is the predicted value of h time units after time t, P is the smoothing coefficient, l t is the level value at time t, b t is the trend value at time t, QW t is the actual observed value at time t; According to the smoothed prediction value, the decay rate of the rodent activity range is calculated. The decay rate is calculated by the change ΔYt of the rodent activity range and the time interval Δt. The specific calculation expression is: Where RT is the decay rate, and the calculation expression of the change in the range of mouse activity ΔYt is: ΔYt=|QW t+h -QW t |; According to the calculated decay rate of the rodent activity range, the decay rate abnormality index is calculated. The specific calculation expression is: In the formula, PR xg is the decay rate anomaly index, and RTM is the decay rate value predicted by the exponential smoothing method.

5. The regional rodent control system based on the intelligent rodent poisoning station according to claim 4 is characterized in that: The acquired decay rate abnormality index is compared with the decay rate abnormality index reference threshold value, and if the decay rate abnormality index is greater than or equal to the decay rate abnormality index reference threshold value, a rodent activity decay abnormality signal is generated; If the decay rate abnormality index is less than the decay rate abnormality index reference threshold, no rodent activity decay abnormality signal is generated.

6. The regional rodent control system based on the intelligent rodent poisoning station according to claim 1 is characterized in that: In the comprehensive analysis module, the correlation between poison bait placement and rodent activities and the interference of poison bait placement on rodent activities are comprehensively analyzed, specifically: The bait consumption deviation index and the decay rate abnormal index are normalized, and the accuracy coefficient of the poison bait placement in the rat poisoning station is calculated based on the normalized bait consumption deviation index and the decay rate abnormal index.

7. The regional rodent control system based on the intelligent rodent poisoning station according to claim 6 is characterized in that: In the accuracy classification module, the accuracy of poison bait placement at the rat poison station is divided into high-accuracy placement, general-accuracy placement, and low-accuracy placement, specifically: The accuracy coefficient of the poison bait placement at the rat poisoning station obtained in real time is compared with the gradient standard threshold, the gradient standard threshold includes a first standard threshold and a second standard threshold, and the first standard threshold is less than the second standard threshold, and the accuracy coefficient of the poison bait placement at the rat poisoning station obtained is compared with the first standard threshold and the second standard threshold respectively; If the accuracy coefficient of the poison bait placement at the rat poisoning station is greater than the second standard threshold, the accuracy of the poison bait placement at the rat poisoning station is classified as high-accuracy placement; if the accuracy coefficient of the poison bait placement at the rat poisoning station is greater than or equal to the first standard threshold and less than or equal to the second standard threshold, the accuracy of the poison bait placement at the rat poisoning station is classified as general accuracy placement; if the accuracy coefficient of the poison bait placement at the rat poisoning station is less than the first standard threshold, the accuracy of the poison bait placement at the rat poisoning station is classified as low-accuracy placement.

8. The regional rodent control system based on the intelligent rodent poisoning station according to claim 1, characterized in that: In the continuous evaluation module, after implementing the corresponding improvement measures, the accuracy of the poison bait placement at the rat poisoning station is continuously evaluated, specifically: The accuracy of poison bait placement in rat poisoning stations is continuously evaluated, and the accuracy coefficient of poison bait placement in rat poisoning stations over a period of time is further analyzed. For each time point s1, s2, s3, ..., s x ,...,s n The accuracy coefficients of poison bait placement at rat poisoning stations at corresponding time points are obtained in sequence, and the corresponding data sets are established. The Z-score algorithm is used to perform anomaly detection on the accuracy coefficients of poison bait placement at rat poisoning stations in the data set, and the Z-score value of the accuracy coefficient, i.e., the risk index, is calculated.

9. The regional rodent control system based on the intelligent rodent poisoning station according to claim 8, characterized in that: The method for obtaining the risk index is: Calculate the mean value μ and standard deviation σ of the accuracy coefficient data set respectively. The specific calculation expression is: Wherein, x is the index of the time point, wherein x=1, 2, 3, ..., n, and n is a positive integer greater than 0; For each time point, the corresponding Z-score value is calculated for the accuracy coefficient, that is, the risk index is calculated. The specific calculation expression is: In the formula, zs x Is the risk index.

10. The regional rodent control system based on the intelligent rodent poisoning station according to claim 9, characterized in that: The obtained risk index is compared with the risk index reference threshold. If the risk index is greater than or equal to the risk index reference threshold, a warning signal is generated. If the risk index is less than the risk index reference threshold, no warning signal will be generated and no adjustment is required.

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