A device data processing method, system, device and storage medium for poison bait station

Abstract

The embodiments of the present application disclose a device data processing method, system, device and storage medium for a poison bait station, including: periodically acquiring device data of poison bait stations in each area, the device data including poison material information and inspection records; calculating a poison material consumption rate according to the inspection records and the poison material information, and determining a first target poison bait station and a second target poison bait station in each area according to the poison material consumption rate; acquiring first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculating environmental similarity according to the first environmental data and the second environmental data; calculating an average rat population at the first target poison bait station according to the poison material consumption rate, predicting the rat population of the second poison bait station according to the environmental similarity and the average rat population, and obtaining an average rat population prediction value, and determining information of poison bait stations to be recycled in each area according to the average rat population prediction value and preset recycling rules, thereby improving the management level of poison bait stations and the efficiency of determining information of poison bait stations to be recycled.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of computer Internet, and in particular to a device data processing method, system, device and storage medium of a poison bait station. Background Art

[0002] Equipment management refers to a series of work to uniformly manage and maintain various equipment used by enterprises, organizations or individuals. It can include the purchase, installation, recycling, use, maintenance, and scrapping of equipment to ensure the normal use of equipment. The specific management method can be determined according to the actual working form of the equipment. Taking poison bait station management as an example, poison bait stations can be installed, recycled or relocated according to actual environmental requirements and rat density. Poison bait stations can also be replenished by monitoring the remaining poison materials in each poison bait station, and the rat density of each poison bait station can be determined to recycle the poison bait stations with lower rat density, thereby ensuring the rat catching effect of each poison bait station while avoiding the waste of resources in the poison bait station.

[0003] In the related art, poison bait stations are usually managed through manual inspections by street staff. The inspection personnel determine the poison material consumption of each poison bait station and record the poison material consumption or current poison material replenishment in the inspection record, so as to judge the average rat population of each poison bait station by querying the poison material replenishment frequency in the inspection record, so as to recycle the poison bait stations with a small average rat population. This method can only determine the information of the poison bait stations to be recycled after collecting enough historical data. The determination cycle of the poison bait stations to be recycled is relatively long, which leads to untimely recycling of the poison bait stations and waste of poison bait station resources. Summary of the invention

[0004] The embodiments of the present application provide a device data processing method, system, device and storage medium for a poison bait station, which solves the problems of long period for determining information of poison bait stations to be recycled and untimely recycling of poison bait stations caused by management of poison bait stations by manual inspection. The rat population of other poison bait stations is predicted based on environmental data and average rat population of the poison bait station with the fastest poison material consumption in the same area, and the information of the poison bait station to be recycled is determined based on the predicted rat population and location information, thereby improving the management level of the poison bait station and ensuring the management effect of the poison bait. Accordingly, the efficiency of determining the information of the poison bait station to be recycled is improved, and it is also possible to facilitate the subsequent timely recycling of the poison bait station based on the information of the poison bait station to be recycled, thereby avoiding the waste of poison bait station resources.

[0005] In a first aspect, an embodiment of the present application provides a method for processing device data of a poison bait station, comprising:

[0006] Periodically obtain equipment data of poison bait stations in each area, the equipment data including poison material information and inspection records;

[0007] Calculate the poison bait consumption rate according to the inspection record and the poison bait information, determine the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determine the other poison bait stations in each area except the first target poison bait station as the second target poison bait station;

[0008] Acquire first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculate environmental similarity according to the first environmental data and the second environmental data;

[0009] The average number of rats at the first target poison bait station is calculated according to the poison material consumption rate, the number of rats at the second poison bait station is predicted according to the environmental similarity and the average number of rats to obtain an average predicted number of rats, and the information of the poison bait stations to be recycled in each area is determined according to the average predicted number of rats and preset recycling rules.

[0010] Optionally, calculating the environment similarity according to the first environment data and the second environment data includes:

[0011] Calculate temperature similarity based on first temperature data in the first environmental data and second temperature data in the second environmental data, and calculate humidity similarity based on first humidity data in the first environmental data and second humidity data in the second environmental data;

[0012] A similarity mean is calculated according to the temperature similarity and the humidity similarity, and the similarity mean is determined as the environmental similarity between the first environmental data and the second environmental data.

[0013] Optionally, determining the information of the poison bait stations to be recycled in each area according to the average rat quantity prediction value and a preset recycling rule includes:

[0014] A plurality of poison bait stations whose average predicted rat quantity value is less than a preset rat quantity threshold are determined as recyclable poison bait stations, and information of poison bait stations to be recycled is determined according to location information of each recyclable poison bait station and a preset recycling interval.

[0015] Optionally, determining the information of the poison bait stations to be recycled according to the location information of each recyclable poison bait station and a preset recycling interval includes:

[0016] Determining whether there are adjacent recyclable poison bait stations according to the location information of each recyclable poison bait station, and determining the actual distance between two adjacent recyclable poison bait stations if there are adjacent recyclable poison bait stations;

[0017] Determine the poison bait station information of two adjacent recyclable poison bait stations whose actual distance is less than the preset recycle interval as the first poison bait station information and the second poison bait station information;

[0018] Determining the first poison bait station information or the second poison bait station information and the poison bait station information of non-adjacent recyclable poison bait stations as the poison bait station information to be recycled;

[0019] In the case that there are no adjacent recyclable poison bait stations, it is determined that the poison bait station information of each recyclable poison bait station is all information of the poison bait station to be recycled.

[0020] Optionally, the calculating the average number of rats in the first target poison bait station according to the poison material consumption rate includes:

[0021] The average number of rats at the first target poison bait station within a preset time is calculated according to the poison material consumption rate and the preset average food intake.

[0022] Optionally, calculating the poison material consumption rate according to the inspection record and the poison material information includes:

[0023] The poison material consumption is determined according to the poison material weight in the poison material information, the poison material consumption time is determined according to the poison material replenishment time in the inspection record, and the poison material consumption speed is calculated according to the poison material consumption and the poison material consumption time.

[0024] Optionally, after determining the information of the poison bait stations to be recycled in each area according to the average rat quantity prediction value and the preset recycling rules, it also includes

[0025] The target inspection personnel information is searched in the historical inspection records according to the equipment identification in the information of the poison bait station to be recycled, and a recycling work order is generated according to the target inspection personnel information, the location information and the equipment identification in the information of the poison bait station to be recycled.

[0026] In a second aspect, an embodiment of the present application provides a device data system for a poison bait station, including:

[0027] The equipment data acquisition module is used to periodically acquire the equipment data of the poison bait stations in each area, and the equipment data includes poison material information and inspection records;

[0028] a poison bait consumption rate calculation module, configured to calculate the poison bait consumption rate according to the inspection record and the poison bait information, determine the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determine the other poison bait stations in each area except the first target poison bait station as the second target poison bait station;

[0029] An environmental data acquisition module, used to acquire first environmental data of the first target poison bait station and second environmental data of the second poison bait station;

[0030] A similarity calculation module, used for calculating the environment similarity according to the first environment data and the second environment data;

[0031] an average rat quantity prediction value calculation module, used to calculate the average rat quantity of the first target poison bait station according to the poison material consumption rate, and to predict the rat quantity of the second poison bait station according to the environmental similarity and the average rat quantity to obtain an average rat quantity prediction value;

[0032] The module for determining information of poison bait stations to be recovered is used to determine information of poison bait stations to be recovered in each area according to the average rat population prediction value and preset recovery rules.

[0033] In a third aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors; a storage device configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the device data processing method of the poison bait station described in the first aspect.

[0034] In a fourth aspect, an embodiment of the present application provides a storage medium comprising computer executable instructions, which, when executed by a computer processor, are used to execute the device data processing method of the poison bait station as described in the first aspect.

[0035] The embodiment of the present application periodically obtains equipment data of poison bait stations in each area, the equipment data including poison material information and inspection records; calculates the poison material consumption rate based on the inspection records and the poison material information, determines the poison bait station with the maximum poison material consumption rate in each area as the first target poison bait station, and determines the other poison bait stations in each area except the first target poison bait station as the second target poison bait station; obtains first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculates environmental similarity based on the first environmental data and the second environmental data; calculates the average rat population of the first target poison bait station based on the poison material consumption rate, predicts the rat population of the second poison bait station based on the environmental similarity and the average rat population, obtains the average rat population prediction value, and determines the information of the poison bait stations to be recycled in each area based on the average rat population prediction value and preset recycling rules. In the above scheme, the rat population of other poison bait stations is predicted based on the environmental data of the poison bait station with the fastest poison material consumption rate in the same area and the average rat population, and the information of the poison bait station to be recycled is determined based on the predicted rat population and location information, thereby improving the management level of the poison bait station and ensuring the management effect of the poison bait. Accordingly, the efficiency of determining the information of the poison bait station to be recycled is improved, and it is also convenient to carry out the subsequent recycling of the poison bait station in a timely manner based on the information of the poison bait station to be recycled, thereby avoiding the waste of poison bait station resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of a device data processing method of a poison bait station provided in an embodiment of the present application;

[0037] Figure 2 This is a schematic diagram of the distribution of poison bait stations provided in an embodiment of the present application;

[0038] Figure 3 is a flow chart of an environment similarity calculation method provided in an embodiment of the present application;

[0039] Figure 4 This is another method for determining information of poison bait stations to be recycled provided by an embodiment of the present application;

[0040] Figure 5 This is a schematic diagram of the distribution of a recyclable poison bait station provided in an embodiment of the present application;

[0041] Figure 6 This is another schematic diagram of the distribution of recyclable poison bait stations provided in an embodiment of the present application;

[0042] Figure 7 It is a structural diagram of a device data processing system of a poison bait station provided in an embodiment of the present application;

[0043] Figure 8 It is a structural diagram of a device data processing device of a poison bait station provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical scheme and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the accompanying drawings. It is understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for the convenience of description, only part of the present application is shown in the accompanying drawings, but not all of the content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow chart describes each operation (or step) as a sequential process, many of the operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but it can also have additional steps not included in the accompanying drawings. The process can correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.

[0045] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0046] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0047] In conjunction with the accompanying drawings, the device data processing method, system, device and medium of the poison bait station provided in the embodiment of the present application are described in detail through specific embodiments and their application scenarios.

[0048] The device data processing method of the poison bait station provided in the embodiment of the present application is used in the scenario where the poison bait station management system manages the poison bait stations installed in various areas. Its application scenario can be the installation or recovery of the poison bait station, etc. Taking the recovery of the poison bait station as an example, the rat population in the area is predicted based on the device information of the poison bait station, so as to determine the information of the poison bait station to be recovered based on the predicted rat population. Based on the above usage scenario, it can be understood that the execution subject of this solution is the server.

[0049] Figure 1 : is a flow chart of a device data processing method of a poison bait station provided in an embodiment of the present application, such as Figure 1 As shown, including:

[0050] Step S101: periodically obtain equipment data of poison bait stations in each area, wherein the equipment data includes poison material information and inspection records.

[0051] Among them, the poison bait station is a kind of anti-rat and rodent-killing tool that can be waterproof and moisture-proof, prolong the service life of rat poison, create a safe environment for rats to eat poison bait, and improve the feeding rate of rat poison. Poison bait stations are usually set up in green belts, sewer outlets, near garbage cans and public toilets in various communities. Among them, the equipment data is data used to indicate the maintenance status of the poison bait station, and may include the number of repairs of the poison bait station. Optionally, the equipment data may also include poison material information and inspection records, wherein the poison material information is used to indicate the consumption or remaining situation of the poison material, and the poison material information may be the weight of the poison material. The inspection record is used to record the inspection situation of the poison bait station after each inspection by the inspectors, such as the inspection time, whether the poison material is replenished, and whether the poison bait station is damaged. After completing the inspection, the inspectors manually upload the inspection records and poison material information to the equipment management system of the poison bait station, and the equipment management system stores the reported data received in real time in the database.

[0052] In one embodiment, the poison bait station management system reads the poison material information and inspection records of the poison bait stations in each area uploaded by the inspection personnel from the database once every preset time. The area can be divided in advance according to the streets of the community, and different streets are different areas, so that the environment of the poison bait stations in each area is similar and the distance is close, which can ensure the accuracy of the information of the poison bait stations to be recycled.

[0053] Step S102, calculating the poison bait consumption rate according to the inspection record and the poison bait information, determining the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determining the other poison bait stations in each area except the first target poison bait station as the second target poison bait station.

[0054] Among them, the poison material consumption rate can be used to indicate the weight of the poison material consumed within a period of time, such as 20g consumed per day. The faster the poison material consumption rate, the greater the number of rats in the poison bait station. Conversely, the slower the poison material consumption rate, the smaller the number of rats in the poison bait station. In one embodiment, the weight of the current remaining poison material in the poison bait station is determined according to the poison material information, the remaining amount of poison material at the last inspection of each poison bait station in the same area and the last inspection time are determined according to the inspection records, and the poison material consumption from the last inspection time to the current time is calculated according to the current remaining weight of the poison material, the remaining amount of the last inspection and the last inspection time, that is, the poison material consumption rate. According to the calculated poison material consumption rate, the poison bait station with the largest poison material consumption rate in the current area is determined as the first target poison bait station, and the other poison bait stations in the area except the first target poison bait station are the second target poison bait stations. Figure 2 This is a schematic diagram of the distribution of poison bait stations provided in an embodiment of the present application. Figure 2 As shown, the poison bait station management system manages poison bait stations in multiple areas simultaneously, and each area has a first target poison bait station and one or more second target poison bait stations.

[0055] Optionally, the calculating the poison material consumption rate according to the inspection record and the poison material information includes:

[0056] The poison material consumption is determined according to the poison material weight in the poison material information, the poison material consumption time is determined according to the poison material replenishment time in the inspection record, and the poison material consumption speed is calculated according to the poison material consumption and the poison material consumption time.

[0057] Among them, the weight of the poison material is the weight of the remaining poison material in the poison bait station at the current moment, and the consumption of the poison material can be the weight of the poison material consumed within a period of time. The consumption time of the poison material is the time interval between the time of the last poison material replenishment and the current time. In one embodiment, a poison material standard value and a poison material replenishment threshold are preset, such as the poison material standard value is 100g, and the poison material replenishment threshold is 50g. When the current remaining amount of poison material is less than 50g, the poison material will be replenished by the relevant inspection personnel, and the poison material will be replenished to 100g. Therefore, the time of the last poison material replenishment of each poison bait station can be queried through the inspection record, and the time of the last poison material replenishment and the poison material consumption time at the current time can be determined. The consumption of the poison material within the time interval can be determined according to the preset poison material standard value and the current poison material weight, and the poison material consumption rate is calculated according to the poison material consumption time and the poison material consumption. For example, according to the inspection records, it can be determined that the last time the poison material was replenished was January 1st, the current time is the 1st and 4th, the poison material consumption time is 3 days, the current poison material weight is 40g, and the poison material consumption is 60g. Therefore, the poison material consumption rate can be calculated as 60 / 3=20g / day.

[0058] The embodiment of the present application determines the poison material consumption according to the poison material weight in the poison material information, determines the poison material consumption time according to the poison material replenishment time in the inspection record, and calculates the poison material consumption rate according to the poison material consumption and the poison material consumption time. In the above scheme, a longer time period can be determined based on the most recent replenishment time and the poison material weight, and the poison material consumption rate is calculated based on the longer time period and the poison material weight, which can ensure the accuracy of calculating the poison material consumption rate.

[0059] Step S103: acquiring first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculating environmental similarity according to the first environmental data and the second environmental data.

[0060] The first environmental data is used to indicate the environmental data of the location of the first target poison bait station. The second environmental data is used to indicate the environmental data of the location of the second poison bait station. Both the first environmental data and the second environmental data may include air quality, topography, soil type, etc. The environmental similarity is used to indicate the degree of environmental similarity of the locations of the two poison bait stations. The higher the environmental similarity, the more similar the amount of rats captured by the two poison bait stations.

[0061] In one embodiment, the air quality index in the first environment data, i.e., the air quality index of the first target poison bait station, is obtained, and the air quality index in the second environment data, i.e., the air quality index of the second target poison bait station, is obtained, and the similarity between the air quality index of the first target poison bait station and the air quality index of the second target poison bait station is calculated.

[0062] Step S104, calculating the average rat population of the first target poison bait station according to the poison material consumption rate, predicting the rat population of the second poison bait station according to the environmental similarity and the average rat population to obtain an average rat population prediction value, and determining the information of the poison bait stations to be recycled in each area according to the average rat population prediction value and preset recycling rules.

[0063] Among them, the average rat quantity can be used to represent the average number of rats caught per day at the first target poison bait station. The average rat quantity prediction value is used to represent the predicted average number of rats caught per day at the second poison bait station. The information of the poison bait station to be recycled is used to represent the information of the poison bait station to be recycled, such as the area to which the poison bait station to be recycled belongs. In one embodiment, a mapping relationship table between the average rat quantity and the poison material consumption rate can be pre-set, and the average rat quantity of the first target poison material station is determined according to the mapping relationship table and the poison material consumption rate. Exemplarily, the poison material consumption rate is 10g / day-15g / day, and the corresponding average rat quantity can be determined as 4 according to the mapping relationship table. After determining the average rat quantity, the environmental similarity is multiplied by the average rat quantity, and the product obtained is the predicted average rat quantity prediction value of the second target poison bait station, and the average rat quantity prediction value is compared with the preset rat quantity threshold, and the second target poison bait station less than the preset rat quantity threshold is determined as the poison bait station to be recycled, and the area to which the second target poison bait station belongs is determined as the poison bait station information to be recycled.

[0064] In one embodiment, the calculating the average number of rats in the first target poison bait station according to the poison material consumption rate includes:

[0065] The average number of rats at the first target poison bait station within a preset time is calculated according to the poison material consumption rate and the preset average food intake.

[0066] The preset average food intake can be the average amount of food consumed by each mouse each time. For example, if the poison material consumption rate is 60g / day and the preset average food intake is 6g, it can be determined that the average number of mice per day at the first target poison bait station is 10.

[0067] The embodiment of the present application periodically obtains equipment data of poison bait stations in each area, the equipment data including poison material information and inspection records; calculates the poison material consumption rate based on the inspection records and the poison material information, determines the poison bait station with the maximum poison material consumption rate in each area as the first target poison bait station, and determines the other poison bait stations in each area except the first target poison bait station as the second target poison bait station; obtains first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculates environmental similarity based on the first environmental data and the second environmental data; calculates the average rat population of the first target poison bait station based on the poison material consumption rate, predicts the rat population of the second poison bait station based on the environmental similarity and the average rat population, obtains the average rat population prediction value, and determines the information of the poison bait stations to be recycled in each area based on the average rat population prediction value and preset recycling rules. In the above scheme, the rat population of other poison bait stations is predicted based on the environmental data of the poison bait station with the fastest poison material consumption rate in the same area and the average rat population, and the information of the poison bait station to be recycled is determined based on the predicted rat population and location information, thereby improving the management level of the poison bait station and ensuring the management effect of the poison bait. Accordingly, the efficiency of determining the information of the poison bait station to be recycled is improved, and it is also convenient to carry out the subsequent recycling of the poison bait station in a timely manner based on the information of the poison bait station to be recycled, thereby avoiding the waste of poison bait station resources.

[0068] In one embodiment, after determining the information of the poison bait stations to be recycled in each area according to the average rat quantity prediction value and the preset recycling rules, the method further includes:

[0069] The target inspection personnel information is searched in the historical inspection records according to the equipment identification in the information of the poison bait station to be recycled, and a recycling work order is generated according to the target inspection personnel information, the location information and the equipment identification in the information of the poison bait station to be recycled.

[0070] The information of the poison bait station to be recycled may also include the location information of the poison bait station to be recycled and the equipment identification of the poison bait station to be recycled. The historical inspection records may also record the equipment identification of each poison bait station and the information of the inspectors of each poison bait station. The equipment identification may be the number of the poison bait station or the name of the poison bait station, etc. The inspection personnel information may include the inspection personnel's work badge number and the inspection personnel's contact information, etc. In one embodiment, according to the equipment identification in the information of the poison bait station to be recycled, it is determined to query the inspection personnel information corresponding to the equipment identification in the historical inspection records, and a recycling work order is generated according to the inspection personnel's work badge number, the location information in the information of the poison bait station to be recycled and the number of the poison bait station to be recycled, and the recycling work order may be sent to the corresponding inspection personnel according to the contact information in the inspection personnel information.

[0071] In the embodiment of the present application, the target inspection personnel information is queried in the historical inspection records according to the equipment identification in the information of the poison bait station to be recycled, and a recycling work order is generated according to the target inspection personnel information, the location information in the information of the poison bait station to be recycled, and the equipment identification. In the above scheme, a detailed recycling work order can be automatically generated based on the location information of the poison bait station to be recycled and the relevant inspection personnel information, so that the inspection personnel can recycle the work order to be recycled in time, avoiding the waste of poison bait station resources.

[0072] Figure 3 is a flow chart of a method for calculating environmental similarity provided in an embodiment of the present application. Figure 3 As shown, including:

[0073] Step S1031: calculate temperature similarity according to first temperature data in the first environmental data and second temperature data in the second environmental data, and calculate humidity similarity according to first humidity data in the first environmental data and second humidity data in the second environmental data.

[0074] Among them, the first temperature data is the temperature data of the location of the first target poison bait station, and the first humidity data is the humidity data of the location of the first target poison bait station. The second temperature data is the temperature data of the location of the second target poison bait station, and the second humidity data is the humidity data of the location of the second target poison bait station. The temperature similarity can be used to indicate the similarity between the temperature of the location of the first target poison bait station and the temperature of the location of the second target poison bait station. The humidity similarity can be used to indicate the similarity between the humidity of the location of the first target poison bait station and the humidity of the location of the second target poison bait station. In one embodiment, the temperature similarity is calculated based on the first temperature data and the second temperature data. For example, if the first temperature data is 20°C and the second temperature data is 15°C, the temperature similarity can be calculated to be 75%, and if the first humidity data is 55% and the second humidity data is 60%, the humidity similarity can be calculated to be 92%.

[0075] Step S1032: Calculate a similarity mean value according to the temperature similarity and the humidity similarity, and determine the similarity mean value as the environmental similarity between the first environmental data and the second environmental data.

[0076] For example, if the temperature similarity is 75% and the humidity similarity is 92%, then the environmental similarity between the first environmental data and the second environmental data is 83.5%.

[0077] In a possible embodiment, the weight values ​​of temperature similarity and humidity similarity may also be preset, and the weight values ​​may be used to indicate the degree of influence of temperature similarity on environmental similarity and the degree of influence of humidity similarity on environmental similarity. For example, if the temperature similarity is 75% and the humidity similarity is 92%, the weight value of temperature similarity is preset to 40% and the weight value of humidity similarity is preset to 60%, then the environmental similarity of the first environmental data and the second environmental data may be calculated to be 75%*40%+92%*60%=85.2%.

[0078] The embodiment of the present application calculates temperature similarity based on the first temperature data in the first environment data and the second temperature data in the second environment data, and calculates humidity similarity based on the first humidity data in the first environment data and the second humidity data in the second environment data; calculates similarity mean based on temperature similarity and humidity similarity, and determines the similarity mean as the environmental similarity of the first environment data and the second environment data. In the above scheme, the environmental similarity of the first target poison bait station and the second target poison bait station can be calculated based on the influence of temperature and humidity on the number of rats, thereby improving the accuracy of the subsequent prediction of the number of rats in the second target poison bait station.

[0079] Figure 4 Another method for determining information of poison bait stations to be recycled provided by the embodiment of the present application is as follows: Figure 4 As shown, including:

[0080] Step S201: periodically obtain equipment data of poison bait stations in each area, wherein the equipment data includes poison material information and inspection records.

[0081] Step S202: Calculate the poison bait consumption rate according to the inspection record and the poison bait information, determine the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determine the other poison bait stations in each area except the first target poison bait station as the second target poison bait station.

[0082] Step S203: acquiring first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculating environmental similarity according to the first environmental data and the second environmental data.

[0083] Step S204, calculating the average rat population of the first target poison bait station according to the poison material consumption rate, and predicting the rat population of the second poison bait station according to the environmental similarity and the average rat population to obtain an average rat population prediction value.

[0084] Step S205: multiple poison bait stations whose average predicted rat quantity value is less than a preset rat quantity threshold are determined as recyclable poison bait stations, and information of poison bait stations to be recycled is determined according to location information of each recyclable poison bait station and a preset recycling interval.

[0085] Among them, the recyclable poison bait station is a poison bait station with a currently predicted small number of rats. The to-be-recyclable poison bait station is a poison bait station that is about to be recycled. The location information of the recyclable poison bait station can be the location of the recyclable poison bait station, and the location information can be obtained by a positioning device installed on the poison bait station. The preset recycling interval can be a preset maximum distance between adjacent poison bait stations, such as 200 meters, or a preset minimum distance between adjacent poison bait stations, such as 15 meters. Exemplarily, the information of the to-be-recyclable poison bait station is determined based on the preset maximum distance, and the poison bait station is recycled based on the information of the to-be-recyclable poison bait station, so that after the poison bait station is recycled, the distance between each two adjacent poison bait stations retained is less than or equal to 200 meters, thereby ensuring the mouse catching effect.

[0086] In one embodiment, the second target bait station whose average predicted rat quantity in each area is less than a preset rat quantity threshold is determined to be a recyclable bait station. Since the reason for the small number of rats in the recyclable bait station may be that the bait station is set at a large density, the appropriate recycling of the recyclable bait station can avoid the waste of resources of the bait station and can also avoid affecting the mouse catching effect. Among them, when determining the recyclable bait stations to be recycled among the recyclable bait stations, the location information of each recyclable bait station is first determined, and the information of the recyclable bait station to be recycled is determined based on the location information and the preset recycling interval. Exemplarily, it is determined whether there are non-recyclable bait stations between the recyclable bait stations. If so, the recyclable bait stations are fully recycled. If not, the recyclable bait stations are partially recycled.

[0087] In the embodiment of the present application, the plurality of poison bait stations whose average predicted rat quantity is less than the preset rat quantity threshold are determined as recyclable poison bait stations, and the information of the poison bait stations to be recycled is determined according to the location information of each recyclable poison bait station and the preset recycling interval. In the above scheme, by appropriately recycling the recyclable poison bait stations according to the preset recycling interval, it is possible to avoid wasting resources of the poison bait stations and also to avoid affecting the rat catching effect.

[0088] In one embodiment, the step of determining the information of the poison bait stations to be recycled based on the location information of each recyclable poison bait station and the preset recycling interval includes:

[0089] Determining whether there are adjacent recyclable poison bait stations according to the location information of each recyclable poison bait station, and determining the actual distance between two adjacent recyclable poison bait stations if there are adjacent recyclable poison bait stations;

[0090] Determine the poison bait station information of two adjacent recyclable poison bait stations whose actual distance is less than the preset recycle interval as the first poison bait station information and the second poison bait station information;

[0091] Determining the first poison bait station information or the second poison bait station information and the poison bait station information of non-adjacent recyclable poison bait stations as the poison bait station information to be recycled;

[0092] In the case that there are no adjacent recyclable poison bait stations, it is determined that the poison bait station information of each recyclable poison bait station is all information of the poison bait station to be recycled.

[0093] Among them, the positional relationship between each poison bait station is determined according to the position information of each recyclable poison bait station. Figure 5 This is a schematic diagram of the distribution of a recyclable poison bait station provided in an embodiment of the present application. Figure 5 As shown, it includes poison bait station A, poison bait station B, poison bait station C, poison bait station D, poison bait station E and poison bait station F, among which poison bait station B, poison bait station C and poison bait station E are all recyclable poison bait stations, and poison bait station B and poison bait station C are adjacent poison bait stations. At this time, the actual distance between poison bait station B and poison bait station C is determined. If the actual distance is less than the preset minimum distance between adjacent poison bait stations, it can be determined that one of poison bait station B or poison bait station C is a poison bait station to be recycled and a non-adjacent recyclable poison bait station is also a poison bait station to be recycled, and it is determined that one of the first poison bait station information corresponding to poison bait station B or the second poison bait station information corresponding to poison bait station C and the poison bait station information of the non-adjacent recyclable poison bait station are all poison bait station information to be recycled.

[0094] Figure 6 This is another schematic diagram of the distribution of recyclable poison bait stations provided in the embodiment of the present application. Figure 6 As shown, it includes poison bait station A, poison bait station B, poison bait station C, poison bait station D and poison bait station E, among which poison bait station B and poison bait station D are recyclable poison bait stations, and poison bait station B and poison bait station D are not adjacent, then it is determined that poison bait station B and poison bait station D are both poison bait stations to be recycled, and it is determined that the information of poison bait station B and the information of poison bait station D are both information of poison bait stations to be recycled.

[0095] The embodiment of the present application determines whether there are adjacent recyclable poison bait stations based on the location information of each recyclable poison bait station. If there are adjacent recyclable poison bait stations, the actual distance between the two adjacent recyclable poison bait stations is determined; the poison bait station information of the two adjacent recyclable poison bait stations whose actual distance is less than the preset recycling interval is determined as the first poison bait station information and the second poison bait station information respectively; the first poison bait station information or the second poison bait station information is determined as the poison bait station information to be recycled; if there are no adjacent recyclable poison bait stations, the poison bait station information of each recyclable poison bait station is determined to be the poison bait station information to be recycled. In the above scheme, by determining whether there are adjacent recyclable poison bait stations, different methods are adopted to determine the information of the poison bait stations to be recycled, and the poison bait stations to be recycled and the corresponding poison bait station information to be recycled can be accurately determined based on the actual distribution of the recyclable poison bait stations, while avoiding the waste of poison bait station resources, and fully avoiding the impact of inaccurate information on the poison bait stations to be recycled on the mouse catching effect.

[0096] Figure 7The present invention provides a device data processing system for a poison bait station. Figure 7 As shown, including:

[0097] The equipment data acquisition module 11 is used to periodically acquire the equipment data of the poison bait stations in each area, wherein the equipment data includes poison material information and inspection records;

[0098] The poison bait consumption rate calculation module 12 is used to calculate the poison bait consumption rate according to the inspection record and the poison bait information, determine the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determine the other poison bait stations in each area except the first target poison bait station as the second target poison bait station;

[0099] An environmental data acquisition module 13, used to acquire first environmental data of the first target poison bait station and second environmental data of the second poison bait station;

[0100] A similarity calculation module 14, configured to calculate environment similarity based on the first environment data and the second environment data;

[0101] The average rat quantity prediction value calculation module 15 is used to calculate the average rat quantity of the first target poison bait station according to the poison material consumption rate, and to predict the rat quantity of the second poison bait station according to the environmental similarity and the average rat quantity to obtain the average rat quantity prediction value;

[0102] The module 16 for determining the information of the poison bait stations to be recovered is used to determine the information of the poison bait stations to be recovered in each area according to the average rat population prediction value and the preset recovery rules.

[0103] The embodiment of the present application periodically obtains equipment data of poison bait stations in each area, the equipment data including poison material information and inspection records; calculates the poison material consumption rate based on the inspection records and the poison material information, determines the poison bait station with the maximum poison material consumption rate in each area as the first target poison bait station, and determines the other poison bait stations in each area except the first target poison bait station as the second target poison bait station; obtains first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculates environmental similarity based on the first environmental data and the second environmental data; calculates the average rat population of the first target poison bait station based on the poison material consumption rate, predicts the rat population of the second poison bait station based on the environmental similarity and the average rat population, obtains the average rat population prediction value, and determines the information of the poison bait stations to be recycled in each area based on the average rat population prediction value and preset recycling rules. In the above scheme, the rat population of other poison bait stations is predicted based on the environmental data of the poison bait station with the fastest poison material consumption rate in the same area and the average rat population, and the information of the poison bait station to be recycled is determined based on the predicted rat population and location information, thereby improving the management level of the poison bait station and ensuring the management effect of the poison bait. Accordingly, the efficiency of determining the information of the poison bait station to be recycled is improved, and it is also convenient to carry out the subsequent recycling of the poison bait station in a timely manner based on the information of the poison bait station to be recycled, thereby avoiding the waste of poison bait station resources.

[0104] In a possible embodiment, the similarity calculation module 14 is used to:

[0105] Calculate temperature similarity based on first temperature data in the first environmental data and second temperature data in the second environmental data, and calculate humidity similarity based on first humidity data in the first environmental data and second humidity data in the second environmental data;

[0106] A similarity mean is calculated according to the temperature similarity and the humidity similarity, and the similarity mean is determined as the environmental similarity between the first environmental data and the second environmental data.

[0107] In a possible embodiment, the to-be-recovered poison bait station information determination module 16 is used to:

[0108] A plurality of poison bait stations whose average predicted rat quantity value is less than a preset rat quantity threshold are determined as recyclable poison bait stations, and information of poison bait stations to be recycled is determined according to location information of each recyclable poison bait station and a preset recycling interval.

[0109] In a possible embodiment, the to-be-recovered poison bait station information determination module 16 is used to:

[0110] Determining whether there are adjacent recyclable poison bait stations according to the location information of each recyclable poison bait station, and determining the actual distance between two adjacent recyclable poison bait stations if there are adjacent recyclable poison bait stations;

[0111] Determine the poison bait station information of two adjacent recyclable poison bait stations whose actual distance is less than the preset recycle interval as the first poison bait station information and the second poison bait station information;

[0112] Determining the first poison bait station information or the second poison bait station information and the poison bait station information of non-adjacent recyclable poison bait stations as the poison bait station information to be recycled;

[0113] In the case that there are no adjacent recyclable poison bait stations, it is determined that the poison bait station information of each recyclable poison bait station is all information of the poison bait station to be recycled.

[0114] In a possible embodiment, the average mouse amount prediction value calculation module 15 is used to:

[0115] The average number of rats at the first target poison bait station within a preset time is calculated according to the poison material consumption rate and the preset average food intake.

[0116] In a possible embodiment, the poison material consumption rate calculation module 12 is used to:

[0117] The poison material consumption is determined according to the poison material weight in the poison material information, the poison material consumption time is determined according to the poison material replenishment time in the inspection record, and the poison material consumption speed is calculated according to the poison material consumption and the poison material consumption time.

[0118] In a possible embodiment, the recycling work order generation module is used to:

[0119] The target inspection personnel information is searched in the historical inspection records according to the equipment identification in the information of the poison bait station to be recycled, and a recycling work order is generated according to the target inspection personnel information, the location information and the equipment identification in the information of the poison bait station to be recycled.

[0120] The embodiment of the present application also provides a device data device for a poison bait station. The device data device based on the poison bait station can integrate a device data system for a poison bait station provided in the embodiment of the present application. Figure 8 This is a schematic diagram of the structure of a device data processing device of a poison bait station provided in an embodiment of the present application, with reference to Figure 8 The device data device of the poison bait station includes: an input device 23, an output device 24, a memory 22 and one or more processors 21; the memory 22 is used to store one or more programs; when one or more programs are executed by one or more processors 21, the one or more processors 21 implement the device data method of the poison bait station provided by the above embodiment. The input device 23, the output device 24, the memory 22 and the processor 21 can be connected by a bus or other means. Figure 8 The example of connecting through bus is taken in the following.

[0121] The memory 22, as a computing device readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the device data method of the poison bait station provided in any embodiment of the present application. The memory 22 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application required for a function; the data storage area may store data created according to the use of the device, etc. In addition, the memory 22 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 22 may further include a memory remotely arranged relative to the processor 21, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0122] The input device 23 may be used to receive input digital or character information and generate key signal input related to user settings and function control of the device. The output device 24 may include a display device such as a display screen.

[0123] The processor 21 executes the software programs, instructions and modules stored in the memory 22 to execute various functional applications and data processing of the device, that is, to implement the above-mentioned device data method of the poison bait station.

[0124] The equipment data system, equipment and computer of the poison bait station provided above can be used to execute the equipment data method of the poison bait station provided in any of the above embodiments, and have corresponding functions and beneficial effects.

[0125] The present application also provides a storage medium storing computer executable instructions. When the computer executable instructions are executed by a computer processor, they are used to execute the device data method of the poison bait station provided in the above embodiment. The device data method of the poison bait station includes:

[0126] Periodically obtain equipment data of poison bait stations in each area, the equipment data including poison material information and inspection records;

[0127] Calculate the poison bait consumption rate according to the inspection record and the poison bait information, determine the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determine the other poison bait stations in each area except the first target poison bait station as the second target poison bait station;

[0128] Acquire first environmental data of the first target poison bait station and second environmental data of the second poison bait station, and calculate environmental similarity according to the first environmental data and the second environmental data;

[0129] The average number of rats at the first target poison bait station is calculated according to the poison material consumption rate, the number of rats at the second poison bait station is predicted according to the environmental similarity and the average number of rats to obtain an average predicted number of rats, and the information of the poison bait stations to be recycled in each area is determined according to the average predicted number of rats and preset recycling rules.

[0130] Storage medium - any of various types of memory devices or storage devices. The term "storage medium" is intended to include: installation media, such as CD-ROM, floppy disk or tape device; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (such as hard disk or optical storage); registers or other similar types of memory elements, etc. Storage media may also include other types of memory or combinations thereof. In addition, the storage medium may be located in the first computer system in which the program is executed, or may be located in a different second computer system, which is connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media that may reside in different locations (for example, in different computer systems connected by a network). The storage medium may store program instructions (for example, embodied as a computer program) that can be executed by one or more processors.

[0131] Of course, the computer executable instructions of a storage medium containing computer executable instructions provided in an embodiment of the present application are not limited to the device data method of the poison bait station described above, and can also execute related operations in the device data method of the poison bait station provided in any embodiment of the present application.

[0132] The equipment data system, equipment and storage medium of the poison bait station provided in the above embodiments can execute the equipment data method of the poison bait station provided in any embodiment of the present application. For technical details not described in detail in the above embodiments, please refer to the equipment data method of the poison bait station provided in any embodiment of the present application.

[0133] The above are only preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not deviate from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for processing device data of a poison bait station, characterized in that: include: Periodically obtain equipment data of poison bait stations in each area, the equipment data including poison material information and inspection records; Calculate the poison bait consumption rate according to the inspection record and the poison bait information, determine the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determine the other poison bait stations in each area except the first target poison bait station as the second target poison bait station; Acquire first environmental data of the first target poison bait station and second environmental data of the second target poison bait station, and calculate environmental similarity according to the first environmental data and the second environmental data; Calculate the average rat population of the first target poison bait station according to the poison material consumption rate, predict the rat population of the second target poison bait station according to the environmental similarity and the average rat population to obtain an average rat population prediction value, and determine the information of the poison bait stations to be recycled in each area according to the average rat population prediction value and a preset recycling rule; The method of determining the information of the to-be-recovered poison bait stations in each area according to the average rat quantity prediction value and the preset recycling rule includes: determining a plurality of poison bait stations whose average rat quantity prediction value is less than a preset rat quantity threshold value as recyclable poison bait stations, judging whether there are adjacent recyclable poison bait stations according to the position information of each recyclable poison bait station, and if there are adjacent recyclable poison bait stations, determining the actual distance between two adjacent recyclable poison bait stations, and determining the poison bait station information of two adjacent recyclable poison bait stations whose actual distance is less than a preset recycling interval as first poison bait station information and second poison bait station information, respectively, determining the first poison bait station information or the second poison bait station information and the poison bait station information of non-adjacent recyclable poison bait stations as the to-be-recovered poison bait station information, and if there are no adjacent recyclable poison bait stations, determining that the poison bait station information of each recyclable poison bait station is all the to-be-recovered poison bait station information.

2. The device data processing method of the poison bait station according to claim 1, characterized in that: The calculating the environment similarity according to the first environment data and the second environment data includes: Calculate temperature similarity based on first temperature data in the first environmental data and second temperature data in the second environmental data, and calculate humidity similarity based on first humidity data in the first environmental data and second humidity data in the second environmental data; A similarity mean is calculated according to the temperature similarity and the humidity similarity, and the similarity mean is determined as the environmental similarity between the first environmental data and the second environmental data.

3. The device data processing method of the poison bait station according to claim 1, characterized in that: The step of calculating the average number of rats in the first target poison bait station according to the poison material consumption rate includes: The average number of rats at the first target poison bait station within a preset time is calculated according to the poison material consumption rate and the preset average food intake.

4. The device data processing method of the poison bait station according to claim 1, characterized in that: The calculating the poison material consumption rate according to the inspection record and the poison material information includes: The poison material consumption is determined according to the poison material weight in the poison material information, the poison material consumption time is determined according to the poison material replenishment time in the inspection record, and the poison material consumption speed is calculated according to the poison material consumption and the poison material consumption time.

5. The device data processing method of the poison bait station according to claim 1, characterized in that: After determining the information of the poison bait stations to be recycled in each area according to the average rat quantity prediction value and the preset recycling rules, the method further includes: The target inspection personnel information is searched in the historical inspection records according to the equipment identification in the information of the poison bait station to be recycled, and a recycling work order is generated according to the target inspection personnel information, the location information and the equipment identification in the information of the poison bait station to be recycled.

6. A device data processing system for a poison bait station, characterized in that: include: The equipment data acquisition module is used to periodically acquire the equipment data of the poison bait stations in each area, and the equipment data includes poison material information and inspection records; a poison bait consumption rate calculation module, configured to calculate the poison bait consumption rate according to the inspection record and the poison bait information, determine the poison bait station with the maximum poison bait consumption rate in each area as the first target poison bait station, and determine the other poison bait stations in each area except the first target poison bait station as the second target poison bait station; An environmental data acquisition module, used to acquire first environmental data of the first target poison bait station and second environmental data of the second target poison bait station; A similarity calculation module, used for calculating the environment similarity according to the first environment data and the second environment data; an average rat quantity prediction value calculation module, used to calculate the average rat quantity of the first target poison bait station according to the poison material consumption rate, and to predict the rat quantity of the second target poison bait station according to the environmental similarity and the average rat quantity to obtain an average rat quantity prediction value; The module for determining information of poison bait stations to be recovered is used to determine information of poison bait stations to be recovered in each area according to the average rat quantity prediction value and preset recovery rules. The module for determining information of poison bait stations to be recovered is specifically used to determine multiple poison bait stations whose average rat quantity prediction value is less than a preset rat quantity threshold as recoverable poison bait stations, determine whether there are adjacent recoverable poison bait stations according to the position information of each recoverable poison bait station, and if there are adjacent recoverable poison bait stations, determine the actual distance between two adjacent recoverable poison bait stations, and determine the poison bait station information of two adjacent recoverable poison bait stations whose actual distance is less than a preset recovery interval as first poison bait station information and second poison bait station information, respectively, determine the first poison bait station information or the second poison bait station information and the poison bait station information of non-adjacent recoverable poison bait stations as information of poison bait stations to be recovered, and if there are no adjacent recoverable poison bait stations, determine that the poison bait station information of each recoverable poison bait station is all information of poison bait stations to be recovered.

7. An electronic device, comprising: one or more processors; A storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the device data processing method of the poison bait station according to any one of claims 1 to 5.

8. A storage medium storing computer executable instructions, wherein the computer executable instructions are used to execute the device data processing method of the poison bait station according to any one of claims 1 to 5 when executed by a computer processor.

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