Termite monitoring data analysis intelligent killing system

Abstract

The invention discloses a termite monitoring data analysis intelligent killing system, which belongs to the technical field of termite prevention and control, and comprises a platform end, a user end and a monitoring device, the platform end comprises a course management module and a model management module; the course management module is used for the platform party to manage the termite information acquisition course; the model management module is used for establishing and managing a termite identification model by a platform side and updating the termite identification model to a user side; the monitoring device is used for monitoring termites, obtaining monitoring data and sending the monitoring data to the user side; the user side comprises an acquisition module, an analysis module and a monitoring management module; the acquisition module is used for acquiring termite information; the analysis module is used for analyzing the termite information to obtain a termite identification result; performing monitoring selection according to a termite identification result; the monitoring management module is used for monitoring and managing termites and installing a monitoring device; and performing hazard assessment according to the monitoring data to obtain a hazard assessment result, and performing corresponding processing according to the hazard assessment result.

Description

Technical Field

[0001] The invention belongs to the technical field of termite prevention and control, and in particular is a termite monitoring data analysis intelligent killing system. Background Art

[0002] In the current living environment, termites, as a highly hidden and rapidly reproducing pest, pose a serious threat to buildings, furniture and even the entire living environment. However, for the majority of individual users, due to the high professional requirements of termite monitoring, and the traditional monitoring methods often involve complex operating steps and high costs, many people are unable to verify and prevent termites in their homes or other areas in a timely and effective manner. This situation not only exacerbates the deterioration of termite problems, but may also cause immeasurable losses to residents' quality of life and property safety.

[0003] Specifically, the main challenges faced by individual users when conducting termite monitoring include: monitoring is difficult, as termites usually hide inside wood or underground and have only a few behavioral characteristics. However, most users lack professional knowledge and find it difficult to accurately determine the presence of termites and the extent of their damage. Even if they believe that termites may be present, the high price of professional monitoring will lead them to not conduct monitoring and simply purchase corresponding control drugs for treatment. However, this can easily lead to unsatisfactory control results due to factors such as the location of application and professional knowledge.

[0004] Based on this, the present invention provides a termite monitoring data analysis and intelligent killing system. Summary of the invention

[0005] In order to solve the problems existing in the above-mentioned solutions, the present invention provides a termite monitoring data analysis and intelligent killing system.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A termite monitoring data analysis intelligent killing system, comprising a platform end, a user end and a monitoring device;

[0008] The platform end includes a tutorial management module and a model management module;

[0009] The tutorial management module is used by the platform to manage termite information collection tutorials and establish a collection tutorial library, which is used to store various termite information collection tutorials; and according to the collection target information sent by the user end, the corresponding termite information collection tutorial is matched from the collection tutorial library, and the termite information collection tutorial is sent to the user end.

[0010] Furthermore, the method for establishing the acquisition tutorial library includes:

[0011] Obtain monitoring requirements for various termite monitoring, and set up various termite information collection tutorials according to various monitoring requirements; set up the corresponding tutorial range for each termite information collection tutorial;

[0012] The termite information collection tutorials and tutorial scopes are sorted out to establish a collection tutorial library; and the termite information collection tutorials in the collection tutorial library are dynamically adjusted according to tutorial requirements.

[0013] The model management module is used by the platform to establish and manage a termite identification model, which is used to analyze termite information and obtain termite identification results, including termite features and no termite features; and update the termite identification model to the user end.

[0014] The monitoring device is used to monitor termites in real time to obtain corresponding monitoring data, which includes the number, distribution, behavioral characteristics, vibration, temperature, and humidity of termites; and send the monitoring data to the user end in real time.

[0015] The user terminal includes a collection module, an analysis module and a monitoring management module;

[0016] The collection module is used to collect termite information and obtain termite information.

[0017] Furthermore, the method for collecting termite information includes:

[0018] The collection target is set, and the user inputs the collection target information; the collection target information is sent to the platform end, and the termite information collection tutorial sent by the platform end is received; the termite information collection tutorial is displayed to the user, and the user collects data for the collection target according to the termite information collection tutorial to obtain the termite information corresponding to the collection target.

[0019] The analysis module is used to analyze termite information, connect with the model management module in the platform end, and update the corresponding termite recognition model in real time;

[0020] Termite information is acquired, and the termite information is analyzed by the termite identification model to obtain corresponding termite identification results; the user makes monitoring selections according to the termite identification results.

[0021] The monitoring and management module is used to monitor and manage termites, determine the installation location of the monitoring device, and the user installs the monitoring device at the installation location;

[0022] Acquire monitoring data from monitoring devices in real time, conduct real-time hazard assessment based on the monitoring data, and obtain corresponding hazard assessment results, which include hazard exceeding the standard and normal status;

[0023] When the hazard assessment result is normal, no corresponding operation is performed;

[0024] When the hazard assessment results show that the hazard exceeds the standard, termite control is carried out.

[0025] Furthermore, the method for determining the installation position includes:

[0026] Determine the installation analysis area according to the termite information; obtain the regional information of the installation analysis area; generate a regional analysis map according to the regional information; mark the installation selection area that meets the installation requirements in the regional analysis map according to the monitoring device;

[0027] Conduct simulation assessment on the installation selection area to determine the installation location.

[0028] Further, the method of marking the installation selection area that meets the installation requirements in the area analysis diagram according to the monitoring device includes:

[0029] The installation requirements of the monitoring device are obtained, and an installation judgment model is established according to the installation requirements. The expression of the installation judgment model is:

[0030]

[0031] Where: s is the input data, which is the regional information of the corresponding location area in the regional analysis diagram; the output data is the installation judgment value AP(s);

[0032] The regional analysis diagram is analyzed by the installation judgment model to obtain the installation judgment value corresponding to each location area; and the installation selection area is determined according to each obtained installation judgment value.

[0033] Furthermore, the method of conducting real-time hazard assessment based on monitoring data includes:

[0034] Evaluate monitoring data through a preset monitoring and evaluation model to obtain monitoring and evaluation results; obtain preset hazard standards;

[0035] A hazard assessment model is established. The expression of the hazard assessment model is:

[0036]

[0037] Where: q is the input data, the input data is the monitoring and assessment results and the hazard standard; the output data is the hazard assessment value WP(q);

[0038] Analyze the monitoring and assessment results and hazard standards through the hazard assessment model to obtain the corresponding hazard assessment value;

[0039] When the hazard assessment value is 1, the hazard assessment result is marked as hazard exceeding the limit;

[0040] When the hazard assessment value is 0, the hazard assessment result is marked as a normal state.

[0041] Furthermore, the hazard standard is set according to the user's personal needs, and the setting method includes:

[0042] Determine a benchmark standard, and set a benchmark scene according to the benchmark standard, where the benchmark scene is a termite activity scene corresponding to the benchmark standard;

[0043] Identify each standard item corresponding to the benchmark standard; perform scenario simulation based on each standard item and the benchmark scenario to form each scenario set, wherein the scenario set is composed of each simulated scenario;

[0044] When the user needs to set the hazard standard, the benchmark scenario and each standard item are displayed to the user, and the user adjusts the standard data corresponding to each standard item in the benchmark scenario according to personal needs;

[0045] Each time the user adjusts the standard data corresponding to the corresponding standard item, the simulation scene corresponding to the standard data of each standard item is matched from the scene set, and the simulation scene is displayed to the user; until the user determines the target scene; and the hazard standard is generated according to the target scene.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] Through the cooperation between the platform, user end and monitoring device, the intelligent termite monitoring needs of individual users can be met; non-professional users can also easily get started and monitor termites in their homes or other areas. This greatly reduces the professional skills and cost investment required for traditional monitoring methods, making it affordable for more families to effectively implement termite monitoring; by providing convenient, efficient and accurate termite monitoring and prevention services, it can effectively solve the termite problems faced by users and improve their living environment and quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0050] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] like Figure 1 As shown, a termite monitoring data analysis intelligent killing system includes a platform end, a user end and a monitoring device;

[0052] The platform end is used and managed by the platform party, including a tutorial management module and a model management module;

[0053] The tutorial management module is used by the platform to manage the termite information collection tutorials, obtain the monitoring requirements of various termite monitoring, such as monitoring furniture, wooden structures, surrounding slopes, etc., and set various termite information collection tutorials according to various monitoring requirements. The termite information collection tutorials are set by the platform according to the corresponding characteristics of termite monitoring, and are used to guide users to collect termite information, such as image collection, knocking sound recording, peeling skin and other corresponding collection tutorials;

[0054] Determine the scope of the tutorial corresponding to the tutorial according to the termite information collection tutorial, and the specific needs are determined according to the applicable needs, monitoring targets, etc.; organize the termite information collection tutorials and tutorial scopes, and establish a collection tutorial library;

[0055] And dynamically adjust each termite information collection tutorial in the collection tutorial library according to tutorial requirements, such as demand changes, technology updates, etc.

[0056] And according to the collection target information sent by the user end, the corresponding termite information collection tutorial is matched from the collection tutorial library, and the termite information collection tutorial is sent to the corresponding user end.

[0057] The model management module is used by the platform to establish and manage the termite recognition model, obtain each termite information collection tutorial, set the corresponding training set according to each termite information collection tutorial, the training set includes input data and output data, the input data is the data collected according to the corresponding termite information collection tutorial, the output data is the termite recognition result, and the termite recognition result includes termite characteristics and no termite characteristics; use the corresponding termite historical monitoring data to establish the training set; establish the termite recognition model based on a neural network such as a CNN network or a DNN network, train with the established training set, and analyze with the termite recognition model after successful training;

[0058] The latest termite identification model is updated to the user end. That is, when the termite identification model is established and updated, it will be synchronized to the user end. Therefore, the platform can manage the termite identification model through the model management module, which is convenient for subsequent adjustment of the termite identification model according to changes in actual conditions and improves the accuracy of termite identification.

[0059] The monitoring device is used to monitor termites in real time, obtain corresponding monitoring data, and send the monitoring data to the user end in real time.

[0060] The monitoring device is a device specially designed by the platform for real-time monitoring of termite activities; it is specifically set up by the platform based on demand functions and existing technologies.

[0061] In one embodiment, the monitoring device consists of the following main parts:

[0062] Sensor: The sensor is the core component of the monitoring device. It can sense various physical quantities of termite activity, such as vibration, temperature, humidity, etc., and convert them into electrical signals that can be measured and processed. These sensors are usually carefully designed and placed in areas where termites may be active to ensure that they can accurately capture signs of termite activity.

[0063] Data acquisition unit: The data acquisition unit is responsible for receiving the electrical signal output by the sensor and performing necessary processing, such as amplification, filtering, analog-to-digital conversion, etc., for subsequent data analysis and processing. It usually has high sensitivity and high stability, which can ensure that the collected data is accurate.

[0064] Processing unit: The processing unit is the "brain" of the monitoring device, which is responsible for processing and analyzing the collected data. Through preset algorithms and models, the processing unit can automatically identify the activity characteristics of termites, such as quantity, distribution, behavioral characteristics, etc., and integrate them into monitoring data.

[0065] Communication unit: The communication unit is responsible for transmitting the results of the processing unit to the user end. This is usually achieved through wired or wireless means, such as Ethernet, Wi-Fi, Bluetooth, NB-IoT, etc.

[0066] Power supply: In order to ensure that the monitoring device can work continuously and stably, it is usually equipped with a power supply system, such as batteries or solar panels. These power systems can provide the required power support for the monitoring device to ensure that it can work normally in various environments.

[0067] The user terminal is used after the user registers and logs in, and includes a collection module, an analysis module and a monitoring management module;

[0068] The collection module is used to collect termite information. The user sets a collection target according to a target suspected of having termites, such as a corresponding wooden structure, furniture, etc. The user inputs the collection target information, that is, relevant information of the specific collection target, such as wooden structure, material, approximate size and other relevant information; the collection target information is sent to the platform end, and a termite information collection tutorial sent by the platform end is received; the termite information collection tutorial is displayed to the user, and the user collects data on the collection target according to the termite information collection tutorial to obtain termite information corresponding to the collection target.

[0069] The analysis module is used to analyze termite information, connect with the model management module in the platform end, and update the corresponding termite recognition model in real time;

[0070] Termite information is obtained, and the termite information is analyzed through a termite identification model to obtain corresponding termite identification results; the user makes monitoring selections based on the termite identification results, i.e., no termite monitoring or termite monitoring. Termite monitoring means that the user purchases a monitoring device through the user end, and subsequently performs real-time monitoring through the monitoring device.

[0071] The monitoring and management module is used to monitor and manage termites, determine the installation location of the monitoring device, and the user installs the monitoring device at the installation location;

[0072] Acquire monitoring data from monitoring devices in real time, conduct real-time hazard assessment based on the monitoring data, and obtain corresponding hazard assessment results, which include hazard exceeding the standard and normal status;

[0073] Take corresponding measures based on the hazard assessment results. That is, when the hazard assessment result shows that the hazard exceeds the standard, termite control is carried out. The platform can guide users on how to use drugs based on the monitoring data, or provide guidance through preset tutorials. If the monitoring equipment has the function of intelligent drug delivery, intelligent control can also be carried out through the monitoring equipment.

[0074] In one embodiment, the installation location of the monitoring device is determined by the user.

[0075] In one embodiment, the method for determining the installation position includes:

[0076] Determine the possible activity range of termites based on termite information. It does not need to be particularly accurate, as long as a rough range is sufficient; mark the corresponding activity range as the installation analysis area; obtain the regional information of the installation analysis area, that is, collect it according to the collection method of termite information, and then combine the corresponding structural shape, location and other related physical information to form the regional information; generate a regional analysis map based on the regional information; mark the area that meets the installation requirements in the regional analysis map according to the monitoring device, and mark it as the installation selection area; the installation requirements are set according to the installation requirements and function satisfaction conditions of the monitoring device, and are specifically set by the platform;

[0077] Conduct simulation evaluation of the installation selection area to determine the installation location; that is, conduct monitoring simulation based on the termite information in the installation selection area, apply historical monitoring status for analysis, determine the locations that meet the monitoring requirements, and then determine the installation location based on whether it is convenient for installation or the user can choose it by themselves, as long as it meets the monitoring requirements. In actual applications, intelligent simulation evaluation can be performed based on existing artificial intelligence technology combined with termite monitoring experience.

[0078] In one embodiment, the installation selection area may be determined by marking according to installation requirements based on existing technologies.

[0079] In one embodiment, the method for determining the installation selection area includes:

[0080] Obtain the installation requirements of the monitoring device and establish an installation judgment model based on the installation requirements. The expression of the installation judgment model is: Where: s is the input data, and the input data is the regional information of the corresponding position area in the regional analysis diagram, that is, according to the actual requirements, the installation position will not be a point, but a small area, so each possible small area will be used as input, and the input can be based on the preset area size; the output data is the installation judgment value AP(s); specifically, the input data is compared with the installation requirements based on the current judgment technology;

[0081] The regional analysis diagram is analyzed by the installation judgment model to obtain the installation judgment value corresponding to each location area; and the installation selection area is determined according to each obtained installation judgment value.

[0082] In one embodiment, a method for performing real-time hazard assessment based on monitoring data includes:

[0083] Based on the existing analysis technology of termite monitoring data, a monitoring and evaluation model is established to evaluate the monitoring data and obtain monitoring and evaluation results, such as activity intensity, hazard level, potential risk, etc., to obtain the preset hazard standards, and determine the hazard assessment results based on the monitoring and evaluation results and hazard standards.

[0084] Methods for determining hazard assessment results based on monitoring and assessment results and hazard standards include:

[0085] Establish a hazard assessment model. The expression of the hazard assessment model is: Where: q is the input data, the input data is the monitoring and evaluation results and the hazard standard; the output data is the hazard assessment value WP(q); a large amount of historical termite monitoring and evaluation data and the corresponding hazard assessment results are obtained, and the corresponding hazard standards, such as the preset early warning standards, are identified; training and adjustment are performed through the above data, so that subsequent judgments can be made based on the monitoring and evaluation results and the hazard standards to determine whether the monitoring and evaluation results exceed the hazard standards;

[0086] Analyze the monitoring and assessment results and hazard standards through the hazard assessment model to obtain the corresponding hazard assessment value;

[0087] When the hazard assessment value is 1, the hazard assessment result is marked as hazard exceeding the standard;

[0088] When the hazard assessment value is 0, the hazard assessment result is marked as a normal state.

[0089] In one embodiment, the evaluation is performed according to the above embodiment, and the result of the evaluation according to the existing conventional termite evaluation standard will be obtained; however, when facing a large number of individual users, each user has different requirements for the hazard standard, and it is difficult to set a unified hazard standard. Therefore, it is necessary to intelligently generate a hazard standard that meets the individual needs of the user according to the user's needs, and the method is as follows:

[0090] Mark the existing conventional hazard standard as the benchmark standard, that is, the hazard standard in the previous embodiment; set a benchmark scene according to the benchmark standard, and the benchmark scene is the termite activity scene corresponding to the benchmark standard;

[0091] Identify the standard items corresponding to the benchmark standard. The standard items are the data items corresponding to the corresponding standard data, such as the quantity standard items corresponding to the number of termites;

[0092] Based on each standard item and the benchmark scenario, scenario simulation is performed to form a scenario set. That is, based on the benchmark scenario, the data corresponding to each standard item is adjusted to form different simulation scenarios. Through continuous simulation adjustment, several simulation scenarios are obtained and integrated into a scenario set. However, the simulation adjustment is made in combination with the user's possible adjustment estimate to reduce the amount of simulation adjustment.

[0093] When the user needs to set the hazard standard, the benchmark scenario and each standard item will be displayed to the user. The user can adjust the standard data corresponding to each standard item in the benchmark scenario. After the user adjusts the standard data corresponding to the corresponding standard item each time, the simulation scenario corresponding to the standard data of each standard item is matched from the scenario set and displayed to the user; until the user determines the target scenario; the hazard standard is generated according to the target scenario.

[0094] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0095] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A termite monitoring data analysis intelligent killing system, characterized in that: Including platform end, user end and monitoring device; The platform end includes a tutorial management module and a model management module; The tutorial management module is used by the platform to manage the termite information collection tutorials and establish a collection tutorial library, which is used to store various termite information collection tutorials; and matching a corresponding termite information collection tutorial from the collection tutorial library according to the collection target information sent by the user terminal, and sending the termite information collection tutorial to the user terminal; The model management module is used by the platform to establish and manage a termite identification model, which is used to analyze termite information and obtain termite identification results, including termite characteristics and no termite characteristics; Updating the termite recognition model to the user terminal; The monitoring device is used to monitor termites in real time and obtain corresponding monitoring data, which includes the number, distribution, behavior characteristics, vibration, temperature and humidity of termites; and send the monitoring data to the user end in real time; The user terminal includes a collection module, an analysis module and a monitoring management module; The collection module is used to collect termite information and obtain termite information; The analysis module is used to analyze termite information, connect with the model management module in the platform end, and update the corresponding termite recognition model in real time; Acquire termite information, and analyze the termite information using the termite recognition model to obtain corresponding termite recognition results; Users make monitoring choices based on termite identification results; The monitoring and management module is used to monitor and manage termites, determine the installation location of the monitoring device, and the user installs the monitoring device at the installation location; Acquire monitoring data from monitoring devices in real time, conduct real-time hazard assessment based on the monitoring data, and obtain corresponding hazard assessment results, which include hazard exceeding the standard and normal status; When the hazard assessment result is normal, no corresponding operation is performed; When the hazard assessment results show that the hazard exceeds the standard, termite control is carried out.

2. The intelligent termite killing system based on termite monitoring data analysis according to claim 1, characterized in that: The method of establishing the acquisition tutorial library includes: Obtain monitoring requirements for various termite monitoring, and set up various termite information collection tutorials according to various monitoring requirements; set up the corresponding tutorial range for each termite information collection tutorial; The termite information collection tutorials and tutorial scopes are sorted out to establish a collection tutorial library; and the termite information collection tutorials in the collection tutorial library are dynamically adjusted according to tutorial requirements.

3. The intelligent termite killing system based on termite monitoring data analysis according to claim 1, characterized in that: Methods for collecting termite information include: The collection target is set, and the user inputs the collection target information; the collection target information is sent to the platform end, and the termite information collection tutorial sent by the platform end is received; the termite information collection tutorial is displayed to the user, and the user collects data for the collection target according to the termite information collection tutorial to obtain the termite information corresponding to the collection target.

4. The intelligent termite killing system based on termite monitoring data analysis according to claim 1, characterized in that: Methods for determining the installation location include: Determine the installation analysis area according to the termite information; obtain the regional information of the installation analysis area; generate a regional analysis map according to the regional information; mark the installation selection area that meets the installation requirements in the regional analysis map according to the monitoring device; Conduct simulation assessment on the installation selection area to determine the installation location.

5. The intelligent termite killing system based on termite monitoring data analysis according to claim 4 is characterized in that: The method of marking the installation selection area meeting the installation requirements in the area analysis diagram according to the monitoring device includes: The installation requirements of the monitoring device are obtained, and an installation judgment model is established according to the installation requirements. The expression of the installation judgment model is: Where: s is the input data, which is the regional information of the corresponding location area in the regional analysis diagram; the output data is the installation judgment value AP(s); The regional analysis diagram is analyzed by the installation judgment model to obtain the installation judgment value corresponding to each location area; and the installation selection area is determined according to each obtained installation judgment value.

6. The intelligent termite killing system based on termite monitoring data analysis according to claim 1, characterized in that: Methods for real-time hazard assessment based on monitoring data include: Evaluate monitoring data through a preset monitoring and evaluation model to obtain monitoring and evaluation results; obtain preset hazard standards; A hazard assessment model is established. The expression of the hazard assessment model is: Where: q is the input data, the input data is the monitoring and assessment results and the hazard standard; the output data is the hazard assessment value WP(q); Analyze the monitoring and assessment results and hazard standards through the hazard assessment model to obtain the corresponding hazard assessment value; When the hazard assessment value is 1, the hazard assessment result is marked as hazard exceeding the limit; When the hazard assessment value is 0, the hazard assessment result is marked as a normal state.

7. The intelligent termite killing system based on termite monitoring data analysis according to claim 6, characterized in that: The hazard standard is set according to the user's personal needs. The setting methods include: Determine a benchmark standard, and set a benchmark scene according to the benchmark standard, where the benchmark scene is a termite activity scene corresponding to the benchmark standard; Identify each standard item corresponding to the benchmark standard; perform scenario simulation based on each standard item and the benchmark scenario to form each scenario set, wherein the scenario set is composed of each simulated scenario; When the user needs to set the hazard standard, the benchmark scenario and each standard item are displayed to the user, and the user adjusts the standard data corresponding to each standard item in the benchmark scenario according to personal needs; Each time the user adjusts the standard data corresponding to the corresponding standard item, the simulation scene corresponding to the standard data of each standard item is matched from the scene set, and the simulation scene is displayed to the user; until the user determines the target scene; and the hazard standard is generated according to the target scene.

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