A method, system, device and storage medium for generating poison supplement information

Abstract

The application embodiment discloses a method, system, device and storage medium for generating poison supplement information, including: obtaining the poison bait station identifiers, historical feeding information and environmental parameters of each poison bait station; calculating the poison consumption rate according to the historical feeding information, calculating the mildew index according to the environmental parameters, and determining the mildew time corresponding to the mildew index; calculating the total weight of the poison according to the poison consumption rate and the mildew time, comparing the total weight of the poison with a preset weight threshold, determining the poison supplement weight based on the comparison result, and determining the poison consumption rate or the mildew time as the target calculation parameter, and calculating the poison supplement cycle according to the target calculation parameter; generating poison supplement information based on the poison supplement cycle, the poison supplement weight and the poison bait station identifier. The poison management effect is improved, and the situation that the poison gets moldy and deteriorates, affecting the rat-catching effect and causing waste of poison, is avoided.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of supervision and management, and in particular, to a method, system, device and storage medium for generating poison bait supplement information. Background Art

[0002] The management of poison bait in poison bait stations usually refers to the inspection personnel storing and keeping it, cleaning the moldy poison bait, checking whether there is any leakage of poison bait in each poison bait station to avoid potential safety hazards, and supplementing the poison bait in the corresponding poison bait stations according to the inspection situation, etc.

[0003] In the related art, when supplementing the poison bait in the poison bait station, the poison bait is usually supplemented at fixed intervals, and the poison bait in each poison bait station is supplemented to a fixed weight or a fixed weight of poison bait is supplemented each time. This poison bait supplement method cannot determine the corresponding poison bait supplement amount and poison bait supplement period based on the actual rodent population in the poison bait station, resulting in moldy and deteriorated poison bait in the poison bait stations with a small rodent population, thus affecting the rat-catching effect and causing waste of poison bait. Summary of the Invention

[0004] The embodiments of the present application provide a method, system, device and storage medium for generating poison bait supplement information, which solves the problem that the supplement amount of poison bait in the poison bait station cannot be supplemented and managed based on the actual rodent population, resulting in moldy and deteriorated poison bait in the poison bait stations with a small rodent population, thus affecting the rat-catching effect and causing waste of poison bait. It can determine the weight of the poison bait to be supplemented and the poison bait supplement period corresponding to each poison bait station based on the rodent population in each poison bait station, improves the poison bait management effect, and avoids the situation that the moldy and deteriorated poison bait affects the rat-catching effect and causes waste of poison bait.

[0005] In a first aspect, the embodiments of the present application provide a method for generating poison bait supplement information, including:

[0006] Obtain historical inspection records, where the historical inspection records include poison bait station identifiers, historical feeding information, and environmental parameters of each poison bait station;

[0007] Calculate the poison bait consumption rate according to the historical feeding information, calculate the mildew index according to the environmental parameters, and determine the mildew time corresponding to the mildew index;

[0008] Calculate the total weight of the poison bait according to the poison bait consumption rate and the mildew time, compare the total weight of the poison bait with a preset weight threshold, determine the poison bait supplement weight based on the comparison result, and determine the poison bait consumption rate or the mildew time as the target calculation parameter, and calculate the poison bait supplement period according to the target calculation parameter;

[0009] Generate poison bait supplement information based on the poison bait supplement period, the poison bait supplement weight, and the poison bait station identifier.

[0010] Optionally, calculating the mildew index according to the environmental parameters and determining the mildew time corresponding to the mildew index includes:

[0011] Calculating the average humidity within a preset historical period according to the environmental parameters, and calculating the mildew index according to the average humidity and multiple temperature data within the preset historical period;

[0012] Determining the mildew time corresponding to the mildew index according to a preset mapping relationship table between the mildew index and the number of mildew days.

[0013] Optionally, calculating the mildew index according to the average humidity and multiple temperature data within the preset historical period includes:

[0014] Calculating the temperature difference between each temperature data within the preset historical period and a preset temperature threshold, accumulating and calculating multiple temperature differences to obtain a target temperature value, and calculating the mildew index according to the target temperature value and the average humidity.

[0015] Optionally, calculating the mildew index according to the target temperature value and the average humidity includes:

[0016] Calculating a humidity revision coefficient according to the average humidity and a preset revision parameter, calculating the product of the humidity revision coefficient and the target temperature value, and determining the calculation result as the mildew index.

[0017] Optionally, calculating the poison supplement period according to the target calculation parameter includes:

[0018] When the poison consumption rate is the target calculation parameter, calculating the ratio of the preset weight threshold to the poison consumption rate, and determining the calculation result as the poison supplement period;

[0019] When the mildew time is the target calculation parameter, determining the target calculation parameter as the poison supplement period.

[0020] Optionally, determining the poison supplement weight based on the comparison result includes:

[0021] When the total weight of the poison is greater than the preset weight threshold, calculating the weight difference between the total weight of the poison and the preset weight threshold, and calculating the weight excess ratio according to the weight difference and the preset weight threshold;

[0022] Judging whether the weight excess ratio is within a preset safe ratio range, and when the weight excess ratio is within the safe ratio range, determining the total weight of the poison as the poison supplement weight;

[0023] In the case where the overweight ratio is not within the safe ratio range, calculate the maximum safe weight according to the preset safe ratio range and the preset weight threshold, and determine the maximum safe weight as the poison supplement weight;

[0024] In the case where the total weight of the poison is less than or equal to the preset weight threshold, determine the total weight of the poison as the poison supplement weight.

[0025] Optionally, calculating the poison consumption rate according to the historical replenishment information includes:

[0026] Determine the total replenishment amount and the total remaining amount within a preset time according to the historical replenishment information, calculate the poison consumption amount according to the total replenishment amount and the total remaining amount, and calculate the poison consumption rate according to the poison consumption amount and the preset time.

[0027] In a second aspect, an embodiment of the present application provides a poison supplement information generation system, including:

[0028] A historical and inspection record acquisition module, configured to acquire historical inspection records, where the historical inspection records include poison bait station identifiers, historical replenishment information, and environmental parameters of each poison bait station;

[0029] A first calculation module, configured to calculate the poison consumption rate according to the historical replenishment information;

[0030] A mildew time determination module, configured to calculate a mildew index according to the environmental parameters and determine a mildew time corresponding to the mildew index;

[0031] A second calculation module, configured to calculate the total weight of the poison according to the poison consumption rate and the mildew time;

[0032] A poison supplement cycle determination module, configured to calculate the total weight of the poison according to the poison consumption rate and the mildew time, compare the total weight of the poison with a preset weight threshold, determine the poison supplement weight based on the comparison result, and determine the poison consumption rate or the mildew time as a target calculation parameter, and calculate the poison supplement cycle according to the target calculation parameter;

[0033] A poison supplement information generation module, configured to generate poison supplement information based on the poison supplement cycle, the poison supplement weight, and the poison bait station identifier.

[0034] In a third aspect, an embodiment of the present application provides an electronic device, where the device includes: 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, enable the one or more processors to implement the poison supplement information generation method described in the first aspect.

[0035] In a fourth aspect, an embodiment of the present application provides a storage medium containing computer-executable instructions, which are used to execute the poison supplement information generation method as described in the first aspect when executed by a computer processor.

[0036] In the embodiment of the present application, historical inspection records are obtained. The historical inspection records include the poison bait station identifiers, historical replenishment information, and environmental parameters of each poison bait station; the poison consumption rate is calculated according to the historical replenishment information, the mildew index is calculated according to the environmental parameters, and the mildew time corresponding to the mildew index is determined; the total weight of the poison is calculated according to the poison consumption rate and the mildew time, the total weight of the poison is compared with a preset weight threshold, the poison supplement weight is determined based on the comparison result, and the poison consumption rate or the mildew time is determined as the target calculation parameter, and the poison supplement cycle is calculated according to the target calculation parameter; the poison supplement information is generated based on the poison supplement cycle, the poison supplement weight, and the poison bait station identifier. It is possible to determine the weight of the poison to be supplemented and the supplement cycle of the poison corresponding to the actual rodent quantity situation of each poison bait station, improve the poison management effect, and avoid the situation that the poison mildews and deteriorates, affecting the rat-catching effect and causing waste of the poison. Description of the Drawings

[0037] Figure 1 is a flowchart of a poison supplement information generation method provided by an embodiment of the present application;

[0038] Figure 2 is a flowchart of a method for determining the mildew risk time provided by an embodiment of the present application;

[0039] Figure 3 is a flowchart of a method for determining the poison supplement cycle provided by an embodiment of the present application;

[0040] Figure 4 is a flowchart of a method for determining the poison supplement weight provided by an embodiment of the present application;

[0041] Figure 5 is a schematic structural diagram of a poison supplement information generation system provided by an embodiment of the present application;

[0042] Figure 6 is a schematic structural diagram of a poison supplement information generation device provided by an embodiment of the present application. Detailed Embodiments

[0043] To make the objectives, technical solutions, and advantages of this application clearer, the following further describes specific embodiments of this application in conjunction with the accompanying drawings. It can be understood that the specific embodiments described herein are merely for explaining this application and not for limiting this application. Additionally, it should be noted that for ease of description, only parts related to this application are shown in the drawings rather than all 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 flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations 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 operations are completed, but it can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, and so on.

[0044] The following will clearly describe the technical solutions in the embodiments of this application in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of this application.

[0045] The terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of this application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are generally of the same category, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0046] The following combines the accompanying drawings to detail the poison supplement information generation method, system, device, and medium provided in the embodiments of this application through specific embodiments and their application scenarios.

[0047] The poison supplement information generation method provided in the embodiments of this application is used in scenarios for managing the poison in poison bait stations, such as managing the weight of supplementary poison in each poison bait station, the poison supplement cycle of each poison bait station, etc. Based on the above application scenarios, it can be understood that the execution subject of this application can be an intelligent terminal, such as a mobile phone, a tablet computer, and a laptop computer, etc.

[0048] Figure 1 is a flowchart of a poison supplement information generation method provided in the embodiments of this application, as Figure 1 shown, including:

[0049] Step S101: Obtain historical inspection records, where the historical inspection records include bait station identifiers, historical refilling information, and environmental parameters of each bait station.

[0050] Among them, the historical inspection records are used to represent the real-time status of each bait station recorded by the inspection personnel during the historical inspection of each bait station, such as the remaining power of the bait station and the inspection time of the bait station. Optionally, the historical inspection records further include bait station identifiers, historical refilling information, and environmental parameters. Among them, the bait station identifier is the unique identifier information of each bait station, and the location of the bait station can be determined based on this bait station identifier. The historical refilling information is used to represent the historical refilling situation of each bait station, such as the refilling time of the bait station, the refilling weight of the bait station, and the remaining bait weight of the bait station. The environmental parameters are used to represent the environmental conditions around the bait station, and may include temperature data, humidity data, etc. In one embodiment, the historical inspection records can be obtained periodically, so that the situation of the bait station can be clearly understood based on the historical inspection records over a period of time, and further analysis can be performed based on the situation of the bait station, which is convenient for accurately determining the bait supplement weight and bait supplement cycle of the bait station subsequently.

[0051] Step S102: Calculate the bait consumption rate according to the historical refilling information, calculate the mildew index according to the environmental parameters, and determine the mildew time corresponding to the mildew index.

[0052] Among them, the bait consumption rate can be used to represent the weight of the bait consumed by the bait station every day. The mildew time is used to represent the effective period of the bait in the exposed environment, that is, the effective period that can be stored in the bait station. When this effective period is exceeded, it means that the bait has expired or the toxicity has weakened, and the expected rodent control effect cannot be achieved. Since the environments of different bait stations are different, the mildew times of the bait placed in each bait station are also different.

[0053] In one embodiment, the weight of the last historical poison supplement is determined according to historical supplement information. Since the inspection personnel usually supplement the poison to a fixed weight when supplementing the poison, for example, they supplement it to 15 g each time. Therefore, the weight of the poison supplemented by the inspection personnel each time is the consumption amount of the poison in the bait station within the preset cycle time. The poison consumption rate is calculated according to the poison consumption amount and the duration of the preset poison supplement cycle. The temperature data and humidity data are matched with a preset mildew risk level table to determine the mildew risk level corresponding to the current temperature data and humidity data. Among them, the mildew risk level can be used to represent the degree of the poison mildew risk. The higher the mildew risk level, the greater the mildew risk of the poison. Exemplarily, in the mildew risk level table, the first-level risk is: temperature > 35°C, humidity > 90%; the second-level risk is: 30°C < temperature ≤ 35°C, 80% < humidity ≤ 90%; the third-level risk is: 27°C < temperature ≤ 30°C, 70% < humidity < 80%. When the temperature data is 32°C and the humidity data is 85%, the mildew risk level is determined to be the second-level risk. After determining the mildew risk level, the mildew time corresponding to the second-level risk is determined according to the mapping relationship between the preset mildew risk level and the mildew time.

[0054] Step S103: Calculate the total poison weight according to the poison consumption rate and the mildew time, compare the total poison weight with a preset weight threshold, determine the poison supplement weight based on the comparison result, and determine the poison consumption rate or the mildew time as the target calculation parameter, and calculate the poison supplement cycle according to the target calculation parameter.

[0055] Among them, the total poison weight is used to represent the total weight of the poison that can be completely consumed within the mildew time. For example, if the mildew time is 7 days, the total weight of the poison consumed within 7 days is the total poison weight. Since the space of the bait station is limited, in order to ensure the best rat-catching effect, it is necessary to preset the optimal weight that the bait station can hold for the poison, that is, the preset weight threshold. The poison supplement weight is used to represent the weight of the poison that needs to be supplemented in the bait station this time. The target calculation parameter is the target parameter for calculating the poison supplement cycle. The target calculation parameter can be the above-mentioned poison consumption rate or the mildew time, and it can be specifically determined based on the comparison result between the total poison weight and the preset weight threshold. The poison supplement cycle can be used to represent the time interval for supplementing the poison in each bait station, and the poison supplement cycles of each bait station can be different.

[0056] In one embodiment, the product of the poison consumption rate and the mildew time is determined as the total weight of the poison. The total weight of the poison is compared with a preset weight threshold. If the total weight of the poison is greater than the preset weight threshold, the preset weight threshold is determined as the poison replenishment weight, and the poison consumption rate is determined as the target calculation parameter. The poison replenishment cycle is calculated according to the poison consumption rate. If the total weight of the poison is less than or equal to the preset weight threshold, the total weight of the poison is determined as the poison replenishment weight, and the mildew time is determined as the target calculation parameter. The poison replenishment cycle is determined according to the mildew time. For example, the mildew time is compared with the historically set fixed feeding cycle. If the mildew time is greater than the historical fixed feeding cycle, the mildew time is determined as the poison replenishment cycle. Otherwise, the historical fixed feeding cycle is determined as the poison replenishment cycle. The historically set fixed feeding cycle is set based on the equipment safety inspection rules of the bait station, which can meet both the equipment safety inspection requirements and the poison replenishment requirements.

[0057] Step S104, generate poison replenishment information based on the poison replenishment cycle, the poison replenishment weight, and the bait station identifier.

[0058] Among them, the poison replenishment information is used to instruct the inspection personnel to replenish the poison for the corresponding bait station. In one embodiment, the poison replenishment time is determined based on the poison replenishment cycle and the most recent poison replenishment recorded in the historical inspection record. The location of the bait station to be replenished with poison is determined according to the bait station identifier. The poison replenishment information is generated according to the poison replenishment time, the replenishment location of the poison, and the poison replenishment weight, so that the inspection personnel can replenish the poison for the corresponding bait station based on the poison replenishment information.

[0059] In the embodiment of the present application, by obtaining the historical inspection record, the historical inspection record includes the bait station identifier, the historical feeding information, and the environmental parameters of each bait station; calculating the poison consumption rate according to the historical feeding information, calculating the mildew index according to the environmental parameters, and determining the mildew time corresponding to the mildew index; calculating the total weight of the poison according to the poison consumption rate and the mildew time, comparing the total weight of the poison with the preset weight threshold, determining the poison replenishment weight based on the comparison result, and determining the poison consumption rate or the mildew time as the target calculation parameter, and calculating the poison replenishment cycle according to the target calculation parameter; generating poison replenishment information based on the poison replenishment cycle, the poison replenishment weight, and the bait station identifier. It is possible to determine the weight of the poison to be replenished and the poison replenishment cycle corresponding to the actual rodent quantity situation of each bait station, improve the poison management effect, and avoid the situation that the poison mildews and deteriorates, affecting the rodent-catching effect and causing poison waste.

[0060] In one embodiment, the calculating the poison consumption rate according to the historical feeding information includes:

[0061] Determine the total replenishment amount and the total remaining amount within a preset time according to the historical replenishment information, calculate the consumption amount of the poisonous material according to the total replenishment amount and the total remaining amount, and calculate the consumption speed of the poisonous material according to the consumption amount of the poisonous material and the preset time.

[0062] Exemplarily, determine the replenishment amount of the poisonous material in each cycle within the most recent month according to the historical replenishment information. Since the inspection personnel usually replenish the new poisonous material to a preset weight based on the remaining poisonous material each time they replenish the material, the weight of the currently remaining poisonous material is the total remaining amount within the historical month. Calculate the difference between the total replenishment amount and the total remaining amount, and the calculation result is the consumption amount of the poisonous material within the most recent month. For example, if it is 150 g, then the consumption speed of the poisonous material is 150 / 30 = 5 g / day, that is, the average consumption speed of the poisonous material within the preset most recent month.

[0063] In the embodiment of the present application, determine the total replenishment amount and the total remaining amount within a preset time according to the historical replenishment information, calculate the consumption amount of the poisonous material according to the total replenishment amount and the total remaining amount, and calculate the consumption speed of the poisonous material according to the consumption amount of the poisonous material and the preset time. In the above solution, the average consumption speed of the poisonous material can be determined based on the poisonous material replenishment information within a historical period of time, and the average consumption speed of the poisonous material is determined as the final consumption speed of the poisonous material, avoiding the influence of accidental factors of the poison bait station on the calculation of the consumption speed of the poisonous material and improving the accuracy of the calculation of the consumption speed of the poisonous material.

[0064] Figure 2 It is a flowchart of a method for determining the mildew time provided by an embodiment of the present application. As Figure 2 shown, it includes:

[0065] Step S1021: Calculate the average humidity within a preset historical period according to the environmental parameters, and calculate the mildew index according to the average humidity and multiple temperature data within the preset historical period.

[0066] Step S1022: Determine the mildew time corresponding to the mildew index according to a preset mapping table between the mildew index and the mildew days.

[0067] Among them, the mildew index is an index indicating the degree of mildew susceptibility of an item under certain environmental meteorological conditions, and this mildew index is related to temperature and humidity. In one embodiment, multiple temperature data and multiple humidity data within a certain historical period are determined according to historical inspection records, the average humidity within this historical period is calculated based on the multiple humidity data, and the average temperature data within this historical period is calculated based on the multiple temperature data. The average humidity data is compared with a preset normal humidity range to determine the humidity values exceeding the preset normal humidity range, and the average temperature data is compared with a preset normal temperature range to determine the temperature values exceeding the preset normal temperature range. The mildew index corresponding to these humidity values and temperature values is determined according to the correlation between the preset temperature and humidity values and the mildew index, and the mildew time corresponding to this mildew index is determined according to a preset mapping relationship table between the mildew index and the number of mildew days.

[0068] In the embodiment of the present application, the average humidity within a preset historical period is calculated according to environmental parameters, and the mildew index is calculated according to the average humidity and multiple temperature data within the preset historical period; the mildew time corresponding to the mildew index is determined according to a preset mapping relationship table between the mildew index and the number of mildew days. By calculating the average humidity data and average temperature data within a certain historical period respectively, and calculating the mildew index of the poisonous material and the corresponding mildew time based on the average temperature data and average humidity data, the accuracy of determining the mildew time is improved.

[0069] In one embodiment, the calculating the mildew index according to the average humidity and multiple temperature data within the preset historical period includes:

[0070] Calculate the temperature difference between each temperature data within the preset historical period and a preset temperature threshold, perform cumulative calculation on multiple temperature differences to obtain a target temperature value, and calculate the mildew index according to the target temperature value and the average humidity.

[0071] Among them, the target temperature value is used to represent the deviation between the temperature data within the historical preset period and the normal storage temperature. The larger the target temperature value, the greater the deviation between the temperature at the actual placement position of the poisonous material and the optimal storage temperature. Exemplarily, after obtaining each temperature data within the historical preset period, calculate the difference between each temperature data and the preset temperature threshold to obtain multiple temperature differences, perform cumulative calculation on the multiple temperature differences to obtain a target temperature value, calculate the product of the target temperature value and the average humidity, and determine the calculation result as the mildew index.

[0072] In the embodiment of the present application, the temperature difference between each temperature data and a preset temperature threshold within a preset historical period is calculated, and the sum of multiple temperature differences is calculated to obtain a target temperature value. The mildew index is calculated based on the target temperature value and the average humidity. By calculating the target temperature value within the preset historical period and calculating the mildew index based on the target temperature value and the average humidity value, the influence degree of the temperature data on the mildew index can be accurately determined, thereby further improving the accuracy of calculating the mildew index.

[0073] In one embodiment, the calculating the mildew index according to the target temperature value and the average humidity includes:

[0074] Calculating a humidity correction coefficient according to the average humidity and a preset correction parameter, calculating the product of the humidity correction coefficient and the target temperature value, and determining the calculation result as the mildew index.

[0075] Wherein, the preset correction parameter refers to a correction coefficient for the influence of certain other environmental factors on the moisture content in the air at a certain temperature, such as the influence of sunlight on the environmental humidity, etc. If the preset correction parameter is 0.3, first calculate the product of the average humidity and the preset correction parameter to obtain the humidity correction coefficient, and calculate the product of the humidity correction coefficient and the target temperature value to obtain the mildew index.

[0076] In the embodiment of the present application, the humidity correction coefficient is calculated according to the average humidity and the preset correction parameter, the product of the humidity correction coefficient and the target temperature value is calculated, and the calculation result is determined as the mildew index. In the above solution, the average humidity can be corrected according to the preset correction parameter to obtain the humidity correction coefficient, and the mildew index is calculated based on the humidity correction coefficient, reducing the influence of other factors on the calculation result and improving the accuracy of calculating the mildew index.

[0077] Figure 3 It is a flowchart of a method for determining the poison supplement period provided by the embodiment of the present application, as Figure 3 shown, including:

[0078] Step S1031: When the poison consumption rate is a target calculation parameter, calculate the ratio of the preset weight threshold to the poison consumption rate, and determine the calculation result as the poison supplement period.

[0079] Step S1032: When the mildew time is a target calculation parameter, determine the target calculation parameter as the poison supplement period.

[0080] In one embodiment, if the poison consumption rate is the target calculation parameter, calculate the ratio of the preset weight threshold to the poison consumption rate, and determine the calculated ratio as the poison replenishment period. If the target calculation parameter is the mildew time, no calculation is required, and directly determine the mildew time as the poison replenishment period, so that each time poison is replenished, new poison is replenished in the bait station, avoiding the mixing of the newly replenished poison with the remaining poison from the previous cycle, accelerating the mildew rate of the newly replenished poison, and thus affecting the rat-catching effect of the poison.

[0081] In the embodiment of the present application, when the poison consumption rate is the target calculation parameter, calculate the ratio of the preset weight threshold to the poison consumption rate, and determine the calculation result as the poison replenishment period; when the mildew time is the target calculation parameter, determine the target calculation parameter as the poison replenishment period. It is possible to determine the corresponding poison replenishment period according to the optimal poison replenishment weight of each bait station, avoid frequent replenishment of bait stations with low poison consumption, save a lot of manpower, and can also consider the influence of the mildew time on the poison replenishment period, ensure that the poison does not mildew during the poison replenishment period, and avoid waste of poison.

[0082] Figure 4 is a flowchart of a method for determining the poison replenishment weight provided by an embodiment of the present application, as Figure 4 shown, including:

[0083] Step S201, obtain historical inspection records, where the historical inspection records include the bait station identifiers, historical replenishment information, and environmental parameters of each bait station.

[0084] Step S202, calculate the poison consumption rate according to the historical replenishment information, calculate the mildew index according to the environmental parameters, and determine the mildew time corresponding to the mildew index.

[0085] Step S203, calculate the total poison weight according to the poison consumption rate and the mildew time, and compare the total poison weight with the preset weight threshold.

[0086] Step S204, when the total poison weight is greater than the preset weight threshold, calculate the weight difference between the total poison weight and the preset weight threshold, calculate the weight excess ratio according to the weight difference and the preset weight threshold, and determine whether the weight excess ratio is within the preset safe ratio range.

[0087] Step S205, when the weight excess ratio is within the safe ratio range, determine the total poison weight as the poison replenishment weight.

[0088] Step S206: When the weight excess ratio is not within the safe ratio range, calculate the maximum safe weight according to the preset safe ratio range and the preset weight threshold, and determine the maximum safe weight as the poison supplement weight.

[0089] Step S207: When the total weight of the poison is less than or equal to the preset weight threshold, determine the total weight of the poison as the poison supplement weight.

[0090] Step S208: Based on the comparison result, determine the poison consumption rate or the mildew time as the target calculation parameter, and calculate the poison supplement period according to the target calculation parameter.

[0091] Step S209: Generate poison supplement information based on the poison supplement period, the poison supplement weight, and the bait station identifier.

[0092] Among them, the preset weight threshold is the optimal weight for storing poison in the bait station, and the maximum safe weight is the maximum weight of the poison that can be stored in the bait station. If the maximum safe weight is exceeded, poison overflow will occur, posing a certain safety hazard. In one embodiment, when the total weight of the poison exceeds the preset weight threshold, determine the weight exceeding the optimal dosage according to the total weight of the poison and the preset weight threshold, and determine whether the exceeded weight is within the safe range according to the preset safe ratio range. If it is, supplement the bait station with the maximum safe weight. If not, calculate the maximum exceeded weight according to the excess ratio range and the preset weight threshold, and calculate the maximum safe weight according to the maximum exceeded weight and the preset weight threshold. Exemplarily, if the excess ratio range is less than 10%, the preset weight threshold is 30g, and the total weight of the poison is 50g, then the weight difference is: 50 - 30 = 20g, the weight excess ratio is: 20 / 30 * 100% ≈ 67%, the weight excess ratio is not within the safe ratio range, and the maximum safe weight is: 30 * (1 + 10%) = 33g. The maximum safe weight is 33g, and at this time, 33g is used as the poison supplement weight. When the total weight of the poison is less than or equal to the preset weight threshold, determine the total weight of the poison as the poison supplement weight.

[0093] In the embodiment of the present application, when the total weight of the poison bait is greater than the preset weight threshold, the weight difference between the total weight of the poison bait and the preset weight threshold is calculated, and the weight excess ratio is calculated according to the weight difference and the preset weight threshold; it is determined whether the weight excess ratio is within the preset safety ratio range. When the weight excess ratio is within the safety ratio range, the total weight of the poison bait is determined as the poison bait supplement weight; when the weight excess ratio is not within the safety ratio range, the maximum safe weight is calculated according to the safety ratio range and the preset weight threshold, and the maximum safe weight is determined as the poison bait supplement weight; when the total weight of the poison bait is less than or equal to the preset weight threshold, the total weight of the poison bait is determined as the poison bait supplement weight. The method for determining the poison bait supplement weight in the above solution improves the poison bait management effect, can avoid the situation of poison bait waste while ensuring the rat-catching effect, reduces the frequency of poison bait supplement for the patrol personnel, and can also avoid the situation of poison bait overflow and potential safety hazards.

[0094] Figure 5 is a schematic structural diagram of a poison bait supplement information generation system provided by an embodiment of the present application, as Figure 5 shown, including:

[0095] A historical and patrol record acquisition module 31, configured to acquire historical patrol records, where the historical patrol records include poison bait station identifiers, historical replenishment information, and environmental parameters of each poison bait station;

[0096] A first calculation module 32, configured to calculate the poison bait consumption rate according to the historical replenishment information;

[0097] A mildew time determination module 33, configured to calculate a mildew index according to the environmental parameters and determine a mildew time corresponding to the mildew index;

[0098] A second calculation module 34, configured to calculate the total weight of the poison bait according to the poison bait consumption rate and the mildew time;

[0099] A poison bait supplement cycle determination module 35, configured to calculate the total weight of the poison bait according to the poison bait consumption rate and the mildew time, compare the total weight of the poison bait with a preset weight threshold, determine the poison bait supplement weight based on the comparison result, and determine the poison bait consumption rate or the mildew time as a target calculation parameter, and calculate the poison bait supplement cycle according to the target calculation parameter;

[0100] A poison bait supplement information generation module 36, configured to generate poison bait supplement information based on the poison bait supplement cycle, the poison bait supplement weight, and the poison bait station identifier.

[0101] In an embodiment of the present application, by obtaining historical inspection records, the historical inspection records include the bait station identifiers of each bait station, historical replenishment information, and environmental parameters; calculating the poison consumption rate according to the historical replenishment information, calculating the mildew index according to the environmental parameters, and determining the mildew time corresponding to the mildew index; calculating the total weight of the poison according to the poison consumption rate and the mildew time, comparing the total weight of the poison with a preset weight threshold, determining the poison replenishment weight based on the comparison result, and determining the poison consumption rate or the mildew time as the target calculation parameter, and calculating the poison replenishment cycle according to the target calculation parameter; generating poison replenishment information based on the poison replenishment cycle, the poison replenishment weight, and the bait station identifier. It is possible to determine the weight of the poison to be replenished and the replenishment cycle of the poison corresponding to the actual rodent quantity situation of each bait station, improving the poison management effect, avoiding the situation that the poison mildews and deteriorates, affecting the rodent-catching effect, and causing waste of the poison.

[0102] In a possible embodiment, the mildew time determination module 33 is specifically configured to:

[0103] Calculate the average humidity within a preset historical period according to the environmental parameters, and calculate the mildew index according to the average humidity and multiple temperature data within the preset historical period;

[0104] Determine the mildew time corresponding to the mildew index according to a preset mapping table of mildew index and mildew days.

[0105] In a possible embodiment, the mildew time determination module 33 is specifically configured to:

[0106] Calculate the temperature difference between each temperature data within the preset historical period and a preset temperature threshold, perform cumulative calculation on multiple temperature differences to obtain a target temperature value, and calculate the mildew index according to the target temperature value and the average humidity.

[0107] In a possible embodiment, the mildew time determination module 33 is specifically configured to:

[0108] Calculate a humidity revision coefficient according to the average humidity and a preset revision parameter, calculate the product of the humidity revision coefficient and the target temperature value, and determine the calculation result as the mildew index.

[0109] In a possible embodiment, the poison replenishment cycle determination module 35 is specifically configured to:

[0110] In the case where the poison consumption rate is the target calculation parameter, calculate the ratio of the preset weight threshold to the poison consumption rate, and determine the calculation result as the poison replenishment cycle;

[0111] In the case where the mildew time is the target calculation parameter, determine the target calculation parameter as the poison replenishment cycle.

[0112] In a possible embodiment, the poison supplement cycle determination module 35 is specifically configured to:

[0113] When the total weight of the poison is greater than the preset weight threshold, calculate the weight difference between the total weight of the poison and the preset weight threshold, and calculate the weight excess ratio according to the weight difference and the preset weight threshold;

[0114] Determine whether the weight excess ratio is within the preset safety ratio range. When the weight excess ratio is within the safety ratio range, determine the total weight of the poison as the poison supplement weight;

[0115] When the weight excess ratio is not within the safety ratio range, calculate the maximum safe weight according to the preset safety ratio range and the preset weight threshold, and determine the maximum safe weight as the poison supplement weight;

[0116] When the total weight of the poison is less than or equal to the preset weight threshold, determine the total weight of the poison as the poison supplement weight.

[0117] In a possible embodiment, the first calculation module 32 is specifically configured to:

[0118] Determine the total supplement amount and the total remaining amount within a preset time according to the historical feeding information, calculate the poison consumption amount according to the total supplement amount and the total remaining amount, and calculate the poison consumption speed according to the poison consumption amount and the preset time.

[0119] The embodiment of the present application further provides a poison supplement information generation device, and this poison supplement information generation device based on can integrate a poison supplement information generation system provided by the embodiment of the present application. Figure 6 is a structural schematic diagram of a poison supplement information generation device provided by the embodiment of the present application. Refer to Figure 6 , this poison supplement information generation device includes: an input device 43, an output device 44, a memory 42, and one or more processors 41; the memory 42 is used to store one or more programs; when one or more programs are executed by one or more processors 41, one or more processors 41 implement the poison supplement information generation method provided by the above embodiment. Among them, the input device 43, the output device 44, the memory 42, and the processor 41 can be connected through a bus or other means, Figure 6 Taking the connection through the bus as an example.

[0120] The memory 42, being a computer-readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the poison bait replenishment information generation method provided in any embodiment of the present application. The memory 42 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the device, etc. In addition, the memory 42 can include high-speed random access memory, and can also include non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 42 can further include a memory remotely set relative to the processor 41, and these remote memories can be connected to the device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0121] The input device 43 can be used to receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the device. The output device 44 can include a display device such as a display screen.

[0122] The processor 41 executes various functional applications and data processing of the device by running the software programs, instructions, and modules stored in the memory 42, that is, implements the above-mentioned poison bait replenishment information generation method.

[0123] The above-provided poison bait replenishment information generation system, device, and computer can be used to execute the poison bait replenishment information generation method provided in any of the above embodiments, and have corresponding functions and beneficial effects.

[0124] The embodiment of the present application also provides a storage medium storing computer-executable instructions. When the above computer-executable instructions are executed by a computer processor, they are used to execute the poison bait replenishment information generation method provided in the above embodiment. The poison bait replenishment information generation method includes:

[0125] Obtain historical inspection records, where the historical inspection records include poison bait station identifiers, historical replenishment information, and environmental parameters of each poison bait station;

[0126] Calculate the poison bait consumption rate according to the historical replenishment information, calculate the mildew index according to the environmental parameters, and determine the mildew time corresponding to the mildew index;

[0127] Calculate the total weight of the poison bait according to the poison bait consumption rate and the mildew time, compare the total weight of the poison bait with a preset weight threshold, determine the poison bait replenishment weight based on the comparison result, and determine the poison bait consumption rate or the mildew time as the target calculation parameter, and calculate the poison bait replenishment cycle according to the target calculation parameter;

[0128] Generate poison supplement information based on the poison supplement cycle, the poison supplement weight, and the bait station identifier.

[0129] 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-ROMs, floppy disks, or magnetic tape devices; 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 disks or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. Additionally, 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 that is connected to the first computer system via a network (such as the Internet). The second computer system may 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 (such as in different computer systems connected via a network). The storage medium may store program instructions executable by one or more processors (such as specifically implemented as a computer program).

[0130] Of course, for a storage medium containing computer-executable instructions provided in an embodiment of the present application, the computer-executable instructions are not limited to the poison supplement information generation method described above, and can also perform related operations in the poison supplement information generation methods provided in any embodiment of the present application.

[0131] The poison supplement information generation system, device, and storage medium provided in the above embodiments can execute the poison supplement information generation method provided in any embodiment of the present application. For technical details not described in detail in the above embodiments, reference can be made to the poison supplement information generation method provided in any embodiment of the present application.

[0132] The above is only a preferred embodiment of the present application and the technical principles applied. The present application is not limited to the specific embodiments described here. Various obvious changes, re-adjustments, and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments. Without departing from the concept of the present application, it may also include more other equivalent embodiments, and the scope of the present application is determined by the scope of the claims.

Claims

1. A method for generating supplementary information of poisonous materials, characterized in that: include: Obtaining historical inspection records, wherein the historical inspection records include poison bait station identification, historical refill information, and environmental parameters of each poison bait station; Calculate the toxic material consumption rate according to the historical feeding information, calculate the average humidity in a preset historical period according to the environmental parameters, calculate the mildew index according to the average humidity and multiple temperature data in the preset historical period, and determine the mildew time corresponding to the mildew index according to a preset mildew index and mildew days mapping relationship table; Calculate the total weight of the poisonous material according to the poisonous material consumption speed and the mildew time, compare the total weight of the poisonous material with a preset weight threshold, determine the poisonous material replenishment weight based on the comparison result, and determine the poisonous material consumption speed or the mildew time as a target calculation parameter. When the poisonous material consumption speed is the target calculation parameter, calculate the ratio of the preset weight threshold to the poisonous material consumption speed, and determine the calculation result as the poisonous material replenishment cycle. When the mildew time is the target calculation parameter, determine the target calculation parameter as the poisonous material replenishment cycle. The poison material replenishment information is generated based on the poison material replenishment period, the poison material replenishment weight and the poison bait station identifier.

2. The method for generating poison material supplementary information according to claim 1, characterized in that: The calculating of the mildew index according to the average humidity and the plurality of temperature data in the preset historical period includes: The temperature difference between each temperature data in the preset historical period and the preset temperature threshold is calculated, multiple temperature differences are accumulated to obtain a target temperature value, and the mildew index is calculated according to the target temperature value and the average humidity.

3. The method for generating poison material supplementary information according to claim 2, characterized in that: The calculating the mildew index according to the target temperature value and the average humidity includes: A humidity revision coefficient is calculated according to the average humidity and a preset revision parameter, and a product of the humidity revision coefficient and the target temperature value is calculated, and the calculation result is determined as a mildew index.

4. The method for generating poison material supplementary information according to claim 1, characterized in that: The method of determining the supplementary weight of the poisonous material based on the comparison result comprises: When the total weight of the poisonous material is greater than the preset weight threshold, the weight difference between the total weight of the poisonous material and the preset weight threshold is calculated, and the excess weight ratio is calculated according to the weight difference and the preset weight threshold; Determining whether the excess weight ratio is within a preset safety ratio range, and if the excess weight ratio is within the safety ratio range, determining the total weight of the poisonous material as the poisonous material supplementary weight; When the excess weight ratio is not within the safety ratio range, the maximum safety weight is calculated according to the preset safety ratio range and the preset weight threshold, and the maximum safety weight is determined as the poisonous material supplement weight; When the total weight of the poison material is less than or equal to the preset weight threshold, the total weight of the poison material is determined as the poison material supplement weight.

5. The method for generating poison material supplementary information according to claim 1, characterized in that: The calculating the toxic material consumption rate according to the historical feeding information includes: The total replenishment amount and the total remaining amount within the preset time are determined according to the historical replenishment information, the poison material consumption is calculated according to the total replenishment amount and the total remaining amount, and the poison material consumption speed is calculated according to the poison material consumption and the preset time.

6. A system for generating poisonous material supplementary information, characterized in that: include: A history and inspection record acquisition module is used to acquire history inspection records, wherein the history inspection records include the poison bait station identification, historical feeding information and environmental parameters of each poison bait station; A first calculation module, used for calculating the consumption rate of toxic material according to the historical feeding information; A mold time determination module, used to calculate the average humidity in a preset historical period according to the environmental parameters, calculate the mold index according to the average humidity and multiple temperature data in the preset historical period, and determine the mold time corresponding to the mold index according to a preset mapping relationship table between the mold index and the number of mold days; A second calculation module is used to calculate the total weight of the toxic material according to the toxic material consumption speed and the mildew time; a module for determining a poisonous material replenishment cycle, for calculating the total weight of the poisonous material according to the poisonous material consumption speed and the mildew time, for comparing the total weight of the poisonous material with a preset weight threshold, determining the poisonous material replenishment weight based on the comparison result, and determining the poisonous material consumption speed or the mildew time as a target calculation parameter, and in the case where the poisonous material consumption speed is the target calculation parameter, calculating the ratio of the preset weight threshold to the poisonous material consumption speed, and determining the calculation result as the poisonous material replenishment cycle, and in the case where the mildew time is the target calculation parameter, determining the target calculation parameter as the poisonous material replenishment cycle; The poison material supplement information generation module is used to generate the poison material supplement information based on the poison material supplement period, the poison material supplement weight and the poison bait station identifier.

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, enables the one or more processors to implement the method for generating poison material supplementary information as described in any one of claims 1-5.

8. A storage medium storing computer executable instructions, wherein the computer executable instructions, when executed by a computer processor, are used to execute the method for generating toxic material supplementary information as described in any one of claims 1 to 5.

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