Silkworm disease development path tracking method and system based on intelligent management

Abstract

The invention relates to the technical field of silkworm disease epidemic prevention control, in particular to a silkworm disease development path tracking method and system based on intelligent management, and the method comprises the steps: collecting silkworm room state data, and obtaining a path tracking table of an associated type based on a sensor key point collection request; sensor key point positions are obtained in the silkworm rearing room state data, sensor key point IDs are obtained, and the sensor key point IDs are configured in an associated path tracking table; tracking nodes in the path tracking table are obtained, associated data are configured into the path tracking table, and sensor key point IDs and tracking clustering information associated with the path tracking table are displayed in the silkworm rearing room state data. According to the method, the composite influence of multiple factors such as silkworm rearing instrument arrangement and silkworm rearing room environment in the silkworm rearing process is fully considered, and reasonable analysis and decision are given for source tracking and development trend analysis after silkworm diseases break out.

Description

Technical Field

[0001] The present application relates to the technical field of silkworm disease prevention and control, and in particular to a method and system for tracking the development path of silkworm disease based on intelligent management. Background Art

[0002] Disinfection and disease prevention in silkworm breeding is the basis for increasing the yield of cocoons and the income of silkworm breeding. According to statistics, the proportion of silkworm diseases that cause income reduction in silkworm breeding is as high as 70%. Reducing the occurrence of silkworm diseases and doing a good job in disinfection and disease prevention are the key. The basic principle of silkworm disease prevention is "prevention first, comprehensive prevention and control". The method is to focus on disinfection and clean feeding, cut off the transmission route of pathogens, prevent silkworms from being infected, improve feeding conditions, strengthen silkworms, and improve disease resistance. Only by combining disease prevention with feeding technology and taking the path of comprehensive prevention and control can we achieve real results.

[0003] However, in the prior art, due to the combined influence of multiple factors such as the arrangement of silkworm tools in the silkworm room and the environment of the silkworm room, there is a lack of effective means for tracing the source and analyzing the development trend after the outbreak of silkworm disease. Summary of the invention

[0004] To achieve the above objectives, this application provides the following technical solutions: According to a first aspect of the present invention, the present invention claims a method for tracking the development path of silkworm diseases based on intelligent management, comprising: Collect the silkworm room status data, and obtain the path tracking table of the associated type based on the sensor key point collection request; Obtain the sensor key point position in the silkworm room status data, obtain the sensor key point ID, and configure it into the associated path tracking table; Obtain the tracking nodes in the path tracking table, configure the associated data into the path tracking table, and display the sensor key point ID and tracking cluster information associated with the path tracking table in the silkworm room status data; Among them, the associated data is configured into the path tracking table, specifically: When the data to be configured is the tracking field content that already exists in the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained based on the silkworm disease database, the preset tracking field content related to the tracking path is obtained based on the label, the area of ​​the sensor key point in the tracking path is obtained, and the obtained area together with the preset tracking field content is configured into the path tracking table; When the data to be configured is not the tracking field content already existing in the silkworm disease database, based on the tracking nodes in the path tracking table, the current tracking data, the graphic data obtained based on the current tracking data, the silkworm room status data change curve required by the tracking node and the marking information associated with the change curve are configured into the path tracking table.

[0005] Furthermore, the tracking nodes include young silkworm room environment nodes and old silkworm room environment nodes. Based on the currently collected area and height, the associated environment nodes and attribute tags of each drainage channel in the environment nodes are obtained and input into the associated tracking table.

[0006] Furthermore, the tracking node also includes a plan view of the surrounding environment of the silkworm room. By retrieving the silkworm room status data and adjusting it to a set viewing angle, and setting a change curve interval, the required silkworm room status data change curve is generated, and the change curve is used as a heat map of the surrounding environment of the silkworm room. Metadata is marked in the image and input into the associated tracking table.

[0007] Furthermore, the tracking node also includes the number of silkworm tools, and the number of silkworm tools is input in sequence through tracking, or by retrieving the silkworm room status data and setting the silkworm tool interval in the silkworm room status data, and the number of silkworm tools of different types and different side lengths is obtained based on the area, span, longitudinal span and proportion of the silkworm tool interval, and input into the associated tracking table.

[0008] Furthermore, the tracking node also includes a disinfection treatment interval, by retrieving the silkworm room status data, setting the disinfection interval and / or disinfection treatment interval in the silkworm room status data, and using the set interval as tracking data and inputting it into the associated tracking table.

[0009] Furthermore, when the path tracking table is obtained for screening out silkworm litter, rotten mulberry leaves and diseased and dead silkworms, the tracking node includes an ID and an offset. By retrieving the silkworm room status data, the silkworm litter, rotten mulberry leaves and diseased and dead silkworms that need to be separated due to the quality of the local silk factory are obtained in the silkworm room status data, and the areas of the separation starting and ending points are collected. Based on the label of the current tracking path and the data stored in the silkworm disease database, the ID and offset of the separation starting and ending points are calculated and input into the associated tracking table.

[0010] Furthermore, it also includes obtaining a prefabricated tracking table for silkworm blast disease based on the temperature and humidity management index log records, including: Based on the tag associated with the current tracking path, the associated silkworm disease information is collected based on the temperature and humidity management index log records, and based on the operation type, disease information category and the keywords of the symptom name in the disease information, the type of the silkworm disease prefabricated tracking table to be configured is obtained; based on the tag, the temperature and humidity operation log is queried to determine whether there is an abnormality. If there is no abnormality, the center ID in the disease information is the real ID, and the distribution area of ​​the key points of the sensor associated with the prefabricated tracking form is calculated based on the tag and the disease information center ID; if there is an abnormality, the center ID in the disease information is the abnormal ID, and the distribution area of ​​the key points of the sensor associated with the prefabricated tracking form is calculated based on the tag and the abnormal ID; The disease information associated with the tracking table and the distribution areas of the associated sensor key points are input into the tracking table of the associated type.

[0011] Furthermore, the tracking node also includes the boundary line of the silkworm room environment and the bottom silkworm tool line display of the silkworm room environment. Based on the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained, and the temperature and humidity operation log is queried based on the label to determine whether there is any abnormality; If there is no abnormality, the sensor key point ID is the real ID. Based on the real ID and the set fluctuation range, the silkworm density of the sensor key point, the size of the underlying silkworm tools at the sensor key point, the real ID of the underlying silkworm tools line point, the silkworm density of the underlying silkworm tools line point and the size of the underlying silkworm tools at the underlying silkworm tools line point are obtained based on the data stored in the silkworm disease database. The silkworm room environment boundary line, the silkworm room environment underlying silkworm tools line and the drainage channel that intersects with the silkworm room environment underlying silkworm tools line and the silkworm room environment boundary line are obtained; the associated data and the obtained pattern are configured in the path tracking table.

[0012] Furthermore, if there is an abnormality, the sensor key point ID is the abnormal ID. Based on the abnormal ID and the fluctuation amplitude set before and after the sensor key point, the silkworm density at the sensor key point, the size of the underlying silkworm tools at the sensor key point, the abnormal ID of the underlying silkworm tools line point, the silkworm density at the underlying silkworm tools line point and the size of the underlying silkworm tools at the underlying silkworm tools line point are obtained based on the data stored in the silkworm disease database. The silkworm room environment boundary line, the silkworm room environment underlying silkworm tools line and the drainage channel that intersects with the silkworm room environment underlying silkworm tools line and the silkworm room environment boundary line are obtained; the associated data and the obtained pattern are configured in the path tracking table.

[0013] Furthermore, the present invention also claims protection for a silkworm disease development path tracking system based on intelligent management for implementing the method, characterized in that it comprises: The tracking table obtaining module is configured to: collect the silkworm room status data, and obtain the path tracking table of the associated type based on the sensor key point collection request; The tracking data input module is configured to: obtain the sensor key point position in the silkworm room status data, obtain the sensor key point ID, and configure it into the associated path tracking table; The tracking data input module is further configured to: obtain the tracking nodes in the path tracking table, configure the associated data into the path tracking table, and display the sensor key point ID and tracking cluster information associated with the path tracking table in the silkworm room status data; Among them, the associated data is configured into the path tracking table, specifically: When the data to be configured is the original tracking field content in the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained based on the silkworm disease database, the preset tracking field content related to the tracking path is obtained based on the label, the area of ​​the sensor key point in the tracking path is obtained, and the obtained area together with the preset tracking field content is configured into the path tracking table; When the data to be configured is not the tracking field content originally existing in the silkworm disease database, based on the tracking nodes in the path tracking table, the current tracking data, the graphic data obtained based on the current tracking data, the silkworm room status data change curve required by the tracking node and the marking information associated with the change curve are configured into the path tracking table.

[0014] The present application relates to the technical field of silkworm disease prevention and control, and in particular to a silkworm disease development path tracking method and system based on intelligent management, which collects silkworm room status data, obtains a path tracking table of associated type based on a sensor key point collection request; obtains the sensor key point position in the silkworm room status data, obtains the sensor key point ID, and configures it into the associated path tracking table; obtains the tracking node in the path tracking table, configures the associated data into the path tracking table, and displays the sensor key point ID and tracking clustering information associated with the path tracking table in the silkworm room status data. The present invention fully considers the combined influence of multiple factors such as the silkworm tool arrangement and silkworm room environment in the silkworm room during the silkworm rearing process, and provides reasonable analysis and decision-making for source tracking and development trend analysis after the outbreak of silkworm disease. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A workflow diagram of a method for tracking the development path of silkworm disease based on intelligent management as claimed in an embodiment of the present application; Figure 2 This is a structural module diagram of a silkworm disease development path tracking system based on intelligent management as claimed in an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0017] The terms "first", "second" and "third" in this application are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined as "first", "second" and "third" can explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. All directional indications (such as up, down, left, right, front, back...) in the embodiments of this application are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally also includes steps or modules that are not listed, or optionally also includes other steps or modules inherent to these processes, methods, products or devices.

[0018] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0019] Example 1 like Figure 1 As shown, a method for tracking the development path of silkworm diseases based on intelligent management comprises: Collect the silkworm room status data, and obtain the path tracking table of the associated type based on the sensor key point collection request; Obtain the sensor key point position in the silkworm room status data, obtain the sensor key point ID, and configure it into the associated path tracking table; The tracking nodes in the path tracking table are obtained, the associated data is configured into the path tracking table, and the sensor key point ID and tracking cluster information associated with the path tracking table are displayed in the silkworm room status data.

[0020] Among them, the associated data is configured into the path tracking table, specifically: When the data to be configured is the original tracking field content in the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained based on the silkworm disease database, the preset tracking field content related to the tracking path is obtained based on the label, the area of ​​the sensor key point in the tracking path is obtained, and the obtained area together with the preset tracking field content is configured into the path tracking table; When the data to be configured is not the tracking field content originally existing in the silkworm disease database, based on the tracking nodes in the path tracking table, the current tracking data, the graphic data obtained based on the current tracking data, the silkworm room status data change curve required by the tracking node and the marking information associated with the change curve are configured into the path tracking table.

[0021] In this embodiment, the tracking field information originally collected through the temperature and humidity management index log record stored in the silkworm disease database, including but not limited to symptom name, center ID, cocoon color, cocoon speed, etc., are sequentially configured into the associated path tracking table.

[0022] For the tracking field information that is not applicable to the original collection through the temperature and humidity management indicator log record, based on the tracking nodes in the path tracking table, the current tracking data, the graphic data obtained based on the current tracking data, and the silkworm room status data change curve required by the tracking node and the marking information associated with the change curve are configured into the path tracking table.

[0023] The silkworm room status data contains multiple types of data, and also contains local silk factory management data. The above data is called layer data. During the field tracking of the local silk factory survey, different layer data are retrieved and displayed in the silkworm room status data based on different sensor key point collection requests.

[0024] By collecting the sensor key point ID associated with the client's location, the associated path tracking table can be obtained based on the sensor key point collection request, and the sensor key point ID can be configured into the path tracking table for display.

[0025] When the ID collected based on the client's positioning information does not meet the requirements, you can click the sensor key point ID change button in the path tracking table to change the ID by selecting the sensor key point in the silkworm room status data; When you need to input tracking data, you can enter the tracking data of the sensor key points into the path tracking table through the tracking data input box in the path tracking table; after the path tracking table is saved, it will be displayed in the silkworm room status data with the sensor key point ID and tracking node (tracking cluster information) as the name.

[0026] The basic data required for field tracking of local silk factory surveys include the layer data required for field tracking and the basic data related to the field tracking path.

[0027] A method for tracking the development path of silkworm diseases based on intelligent management disclosed in this embodiment is described in detail.

[0028] In the specific implementation, it is allowed to modify the sensor key point ID, specifically: retrieve and display the silkworm room status data, set the sensor key point in the silkworm room status data to collect the distribution area of ​​the set sensor key point, or collect the distribution area of ​​the sensor key point through real-time positioning by the client, and finally calculate the ID of the sensor key point through the program, and configure the ID of the sensor key point to the path tracking table.

[0029] The sensor key point collection requests of this embodiment include but are not limited to the collection requests for silkworm age status symptoms, silkworm tool compensation collection requests, disinfection collection requests and collection requests for screening out silkworm sand, corrupt mulberry leaves and dead silkworms; among which, the silkworm age status symptom collection requests include the collection requests for the tracking table of young healthy silkworms, the collection requests for the tracking table of old healthy silkworms, the collection requests for the tracking table of young diseased silkworms and the collection requests for the tracking table of old diseased silkworms.

[0030] The types of path tracking tables associated with sensor key point collection requests include but are not limited to the following: The path tracking table filtered out based on the low-age healthy silkworm status tracking table collection request is the low-age healthy silkworm status tracking table; The path tracking table filtered out based on the collection request of the advanced healthy silkworm status tracking table is the advanced healthy silkworm status tracking table; The path tracking table filtered out based on the low-age diseased silkworm status tracking table collection request is the low-age diseased silkworm status tracking table; The path tracking table filtered out based on the collection request of the old and sick silkworm tracking table is the old and sick silkworm tracking table; The path tracking table filtered out based on the silkworm tool compensation collection request is the silkworm tool compensation path tracking table; The path tracking table filtered out based on the disinfection collection request is the disinfection path tracking table; The path tracking table filtered out based on the collection request for screening out silkworm excrement, rotten mulberry leaves and diseased and dead silkworm objects is the path tracking table for screening out silkworm excrement, rotten mulberry leaves and diseased and dead silkworm objects.

[0031] Among them, the tracking nodes in the young healthy silkworm status tracking table, the old healthy silkworm status tracking table, the young diseased silkworm status tracking table and the old diseased silkworm tracking table include the center ID, symptom name, cocoon color and cocoon speed, etc. For the above four path tracking tables, the preset tracking field content in the silkworm disease database is first retrieved. When the preset tracking field content cannot meet the needs of the current tracking node, the data obtained by the current tracking is input into the tracking table, for example, by retrieving the silkworm room status data, setting a point in the displayed silkworm room status data, and inputting the set point ID as the center ID into the associated tracking table; by retrieving the symptom name selection window, setting the associated symptom name and inputting it into the tracking table; by retrieving the cocoon color selection window, setting the associated cocoon color and inputting it into the tracking table; inputting the cocoon speed and inputting it into the tracking table. At the same time, the drawings, patterns or lines associated with the tracking table based on the input data are also input into the tracking table.

[0032] The tracking nodes of the young healthy silkworm status tracking table, the old healthy silkworm status tracking table, the young diseased silkworm status tracking table and the old diseased silkworm tracking table include the young silkworm room environment node and the old silkworm room environment node. By calling the environment node data input window, inputting the area, height and attributes, the associated environment nodes are obtained in the drawing window based on the area and height, and the attributes of each drainage channel in the environment node are marked; the environment nodes marked with attributes are input into the tracking table.

[0033] The tracking nodes of the young healthy silkworm status tracking table, the old healthy silkworm status tracking table, the young diseased silkworm status tracking table and the old diseased silkworm tracking table also include a plan view of the silkworm room's surrounding environment. By calling the schematic input window, the change curve function is started, the silkworm room status data is called, and the silkworm room status data is adjusted to the set perspective. By setting the change curve interval, a change curve is made for the required silkworm room status data, and the change curve is input into the tracking table as a heat map of the silkworm room's surrounding environment.

[0034] The tracking nodes in the silkworm tool compensation path tracking table include silkworm tool types, silkworm tool quantity, silkworm tool interval, silkworm tool side length, horizontal span, vertical span and ratio; the silkworm tool types, silkworm tool side length, horizontal span, vertical span and ratio are input into the silkworm tool compensation path tracking table; the silkworm tool quantity is automatically calculated by retrieving and displaying the silkworm room status data, setting or setting the silkworm tool interval in the silkworm room status data, and inputting the collected silkworm tool interval into the silkworm tool compensation path tracking table; when the number of silkworm tools can be collected on-site in sequence, the number of silkworm tools can be filled into the tracking table in sequence.

[0035] The tracking nodes in the disinfection path tracking table include disinfection treatment intervals. The disinfection treatment intervals are set by retrieving and displaying the silkworm room status data and by clicking or moving the sampling points in the silkworm room status data. The collected disinfection treatment intervals are then input into the disinfection tracking table.

[0036] The tracking nodes in the path tracking table for screening out silkworm litter, rotten mulberry leaves and dead silkworms include the starting and ending point IDs and offsets of the screening out objects. The distribution areas of the starting and ending points of the screening out objects are collected by selecting points in the silkworm room status data or by equipment positioning. Then, the IDs and offsets of the starting and ending points of the screening out objects are obtained based on the temperature and humidity data logs stored in the silkworm disease database, and entered into the tracking table for screening out silkworm litter, rotten mulberry leaves and dead silkworms.

[0037] There are four types of pre-made tracking tables for Bombyx Batryticatus disease, namely: tracking table for young healthy silkworms, tracking table for old healthy silkworms, tracking table for young diseased silkworms and tracking table for old diseased silkworms. If the operation type is stiff operation, the types of pre-made tracking tables for Bombyx Batryticatus disease include tracking table for young healthy silkworms and tracking table for old healthy silkworms; if the operation type is silkworm transfer operation, the types of pre-made tracking tables for Bombyx Batryticatus disease include tracking table for young healthy silkworms, tracking table for old healthy silkworms, tracking table for young diseased silkworms and tracking table for old diseased silkworms.

[0038] Specifically, based on the management indicator log records stored in the silkworm disease database, a prefabricated tracking table for silkworm blast disease is obtained, including: Based on the tag associated with the current tracking path, the disease information associated with the tracking path is collected based on the temperature and humidity management index log records stored in the silkworm disease database. The disease information includes two categories: silkworm pupa disease information and silkworm pupa disease information. The specific content of the disease information includes symptom name, center ID, cocoon color, cocoon speed, etc. Based on the operation type, the disease information category and the keyword information in the symptom name, the type of the prefabricated tracking table for silkworm muscardine disease to be configured is obtained; Based on the tag, query the temperature and humidity operation log to determine whether there is an abnormality. If there is no abnormality, the center ID in the disease information is the real ID. Based on the tag and the disease information center ID, calculate the distribution area of ​​the key points of the sensor associated with the prefabricated tracking form; if there is an abnormality, the center ID in the disease information is the abnormal ID. Based on the tag and the disease information center ID, calculate the distribution area of ​​the key points of the sensor associated with the prefabricated tracking form; The disease information associated with the tracking table and the distribution areas of the associated sensor key points are input into the tracking table of the associated type.

[0039] If the job type associated with the current tracking path is a stiffening job, and the collected disease information is information on silkworm lichen plankton disease, when the symptom name containing "separation silkworm age" is extracted from the silkworm lichen plankton disease information, the type of the prefabricated tracking table for silkworm lichen plankton disease is a tracking table for the status of healthy old silkworms, and the silkworm lichen plankton disease information is input into the tracking table for the status of healthy old silkworms; otherwise, the silkworm lichen plankton disease information is input into the tracking table for the status of healthy young silkworms.

[0040] If the operation type associated with the current tracking path is a stiffness operation, and the collected disease information is silkworm pupae disease information, when the symptom name containing "uncocooned" is extracted from the silkworm pupae disease information, the type of the silkworm pupae disease prefabricated tracking table is a tracking table for the status of elderly healthy silkworms; the silkworm pupae disease information is originally input into the tracking table for the status of elderly healthy silkworms; otherwise, the disease information is originally input into the tracking table for the status of young healthy silkworms.

[0041] If the operation type associated with the current tracking path is the silkworm moving operation, and the collected disease information is information on silkworm pustules, when the symptom names in the silkworm pustules information contain "rigorism" and "separation of silkworm age" but not "separation rigorism", the type of the prefabricated tracking table for silkworm pustules is the tracking table for the status of healthy silkworms at an advanced age, and the silkworm pustules information is input into the tracking table for the status of healthy silkworms at an advanced age; when the symptom names in the silkworm pustules information contain "rigorism" but not "separation rigorism" and "separation of silkworm age", the type of the prefabricated tracking table for silkworm pustules is the tracking table for the status of healthy silkworms at an advanced age, and the silkworm pustules information is input into the tracking table for the status of healthy silkworms at an advanced age. If none of the above conditions are met, the silkworm pustules information is input into the tracking table for the status of sick silkworms at an advanced age.

[0042] If the operation type of the sensor key point is the silkworm moving operation, and the collected disease information is the silkworm pupae disease information, when the symptom names in the silkworm pupae disease information contain "rigidity" and "uncocooned", but do not contain "separation rigor" and "reinforcement based on", the type of the prefabricated tracking table for silkworm pupae disease is the high-age healthy silkworm status tracking table, and the silkworm pupae disease information is originally input into the high-age healthy silkworm status tracking table; when the symptom names in the silkworm pupae disease information contain "rigorism", but do not contain "uncocooned", "separation rigorism" and "reinforcement based on", the type of the prefabricated tracking table for silkworm pupae disease is the low-age healthy silkworm status tracking table, and the silkworm pupae disease information is originally input into the low-age healthy silkworm status tracking table; when the symptom names in the silkworm pupae disease information contain "uncocooned" and contain "separation rigorism" or "reinforcement based on", the type of the prefabricated tracking table for silkworm pupae disease is the low-age diseased silkworm status tracking table, and the silkworm pupae disease information is originally input into the low-age diseased silkworm status tracking table; if none of the above are met, the silkworm pupae disease information is input into the high-age diseased silkworm tracking table.

[0043] After obtaining the disease information of the tracking path and the distribution area of ​​the sensor key points, the sensor key points are loaded and displayed in the silkworm room status data based on the type of pre-made tracking table for silkworm lichen disease, the disease information and the distribution area of ​​the sensor key points; based on the operation type associated with the tracking path, the disease information category and the symptom name in the disease information, the disease information is input into the pre-made tracking table for silkworm lichen disease of the associated type, thereby eliminating the process of field tracking personnel configuring sensor key points and inputting disease information such as symptom name, center ID, cocoon color, cocoon speed, etc. in the field, so as to improve the speed of inputting the content of the symptom tracking form for silkworm age status.

[0044] During the symptom tracking of silkworm age status, after the disease configuration function is turned on, the query is performed based on the silkworm disease database table and the silkworm disease database table to collect disease information associated with the tracking path, including two categories of silkworm disease information and silkworm disease information. The specific content includes symptom name, center ID, cocoon color and cocoon speed. Then, based on the job type, disease information category and keywords in the symptom name field entered when the job is created, it is determined which type of tracking form each disease information should be originally entered into. Then, the temperature and humidity operation log silkworm disease database table is queried, and based on the temperature and humidity operation log associated with the tracking path, it is determined whether the path is abnormal. After that, based on the abnormal judgment result, the association method is selected to calculate the distribution area of ​​the sensor key points, and each disease information and the associated tracking form type and sensor key point distribution area are obtained. Based on the sensor key point distribution area, the prefabricated sensor key point loading method is called to load and display the sensor key points in the silkworm room status data, and the tracking form automatic input method is called to input the disease information into the associated tracking table.

[0045] In the process of tracking the symptoms of silkworm age status, in order to facilitate the field tracking personnel to set the graphics, the field tracking personnel can set the environment nodes of the young silkworm room and the old silkworm room by inputting the area, height and attributes in sequence. Specifically, based on the collection request of the young healthy silkworm status tracking table, after calling and displaying the young healthy silkworm status tracking table, click the setting button of the young silkworm room environment node or the old silkworm room environment node to call the environment node data input window; enter the area, height and attributes in the environment node data input window; every time a set of area and height is entered, a drainage channel will be set in the drawing window based on the area and height; and the amplitude, height and attributes of the drainage channel will be displayed.

[0046] During the process of tracking the symptoms of silkworm age status, the plane diagram of the silkworm room surrounding environment at the key points of the sensor can be collected by using the change curve method. Specifically, based on the collection request of the silkworm age status symptom tracking table, after retrieving and displaying the silkworm age status symptom tracking table, click the change curve button of the plane diagram of the silkworm room surrounding environment, retrieve the silkworm room status data, and locate it at the key point of the sensor, automatically calculate the angle between the forward direction of the tracking path to which the key point of the sensor belongs and the due north perspective of the silkworm room status data, and adjust the silkworm room status data and the overall path management diagram based on the angle, so that the forward direction of the path turns to the due north perspective of the silkworm room status data, and then set the change curve interval, and perform a change curve on the silkworm room status data after adjusting the perspective based on the set change curve interval, and enter the change curve editing window after the change curve, in which the cross angle, the type of the older silkworm room, and other contents can be configured on the change curve, so as to complete the rapid change curve and editing of the plane diagram of the silkworm room surrounding environment, and input the change curve as the heat map of the silkworm room surrounding environment into the silkworm age status symptom tracking table.

[0047] During the symptom tracking of silkworm age status, after turning on the silkworm room environment boundary line and silkworm room environment bottom silkworm tool line setting functions, based on the ID and silkworm breeding density required for the silkworm room environment boundary line setting, the ID and bottom silkworm tool size required for the silkworm room environment bottom silkworm tool line setting, the silkworm breeding density at sensor key points and the bottom silkworm tool size at sensor key points, the silkworm room environment boundary line and silkworm room environment bottom silkworm tool line settings are displayed, and the silkworm breeding density, bottom silkworm tool size and fill and excavation height of the sensor key points are displayed.

[0048] Specifically, set the display buttons of the silkworm room environment boundary line and the silkworm room environment bottom silkworm tool line in the path tracking table. By clicking the display buttons of the silkworm room environment boundary line and the silkworm room environment bottom silkworm tool line, the silkworm room environment boundary line, the silkworm room environment bottom silkworm tool line and the vertical line intersecting the silkworm room environment bottom silkworm tool line and the silkworm room environment boundary line at the sensor key point are obtained and displayed. The label associated with the current tracking path, the sensor key point ID, and the fluctuation amplitude and horizontal and vertical scaling ratio before and after the sensor key point to be set are used as query indicators. First, query the temperature and humidity operation log based on the label to determine whether there is any abnormality: If there is no abnormality, the sensor key point ID is the real ID. Based on the real ID of the sensor key point and the set fluctuation range, the real ID of the underlying silkworm tool line point within the set fluctuation range before and after the sensor key point is queried from the underlying silkworm tool line data of the silkworm room environment; Based on the real ID of the bottom silkworm tool line point within the set fluctuation range before and after the key point of the sensor, the bottom silkworm tool size of the bottom silkworm tool line point within the set fluctuation range before and after the key point of the sensor is queried from the bottom silkworm tool line data log of the silkworm room environment, and the bottom silkworm tool size of the collected bottom silkworm tool line point is processed by the linear interpolation method to obtain the bottom silkworm tool size of the key point of the sensor; Based on the real ID of the sensor key point and the real ID of the underlying silkworm tool line point within the set fluctuation range before and after the sensor key point, the silkworm density at the sensor key point and the silkworm density at the underlying silkworm tool line point are calculated through the silkworm room environment boundary line data log; Returns the silkworm density at the key sensor point, the size of the underlying silkworm tools at the key sensor point, the real ID of the underlying silkworm tools line point, the silkworm density at the underlying silkworm tools line point, and the size of the underlying silkworm tools at the underlying silkworm tools line point; The fill-cut height of the sensor key point is obtained by subtracting the size of the underlying silkworm tools from the silkworm breeding density at the sensor key point. The sensor key point ID, silkworm breeding density, size of the underlying silkworm tools and fill-cut height are displayed on the setting page.

[0049] If there is an abnormality, the sensor key point ID is the abnormal ID. At this time, the sensor key point abnormal ID needs to be converted into the sensor key point real ID; Based on the real ID of the key point of the sensor and the set fluctuation range, the real ID of the bottom silkworm tool line point within the set fluctuation range before and after the key point of the sensor is queried from the bottom silkworm tool line data of the silkworm room environment; Based on the real ID of the bottom silkworm tool line point within the set fluctuation range before and after the key point of the sensor, the bottom silkworm tool size of the bottom silkworm tool line point within the set fluctuation range before and after the key point of the sensor is queried from the bottom silkworm tool line data log of the silkworm room environment, and the bottom silkworm tool size of the collected bottom silkworm tool line point is processed by the linear interpolation method to obtain the bottom silkworm tool size of the key point of the sensor; Based on the real ID of the sensor key point and the real ID of the underlying silkworm tool line point within the set fluctuation range before and after the sensor key point, the silkworm density at the sensor key point and the silkworm density at the underlying silkworm tool line point are calculated based on the silkworm room environment boundary line data log; Convert the real ID of the bottom silkworm tool line point within the set fluctuation range before and after the key point of the sensor to the abnormal ID of the bottom silkworm tool line point; return the silkworm density at the key point of the sensor, the size of the bottom silkworm tool at the key point of the sensor, the abnormal ID of the bottom silkworm tool line point, the silkworm density at the bottom silkworm tool line point and the size of the bottom silkworm tool at the bottom silkworm tool line point; The fill-cut height of the sensor key point is obtained by subtracting the size of the underlying silkworm tools from the silkworm breeding density at the sensor key point. The sensor key point abnormality ID, silkworm breeding density, size of the underlying silkworm tools and fill-cut height are displayed on the setting page.

[0050] Field tracking personnel can easily check the fill and excavation height at the current sensor key point, and learn the height of the silkworm breeding density and the size of the underlying silkworm tools at the sensor key point. They can also quickly check the silkworm room environment boundary line and the silkworm room environment bottom silkworm tool line within the set fluctuation range before and after the sensor key point, which is convenient for field tracking personnel to quickly and accurately obtain the color of the diseased cocoons at the current sensor key point.

[0051] During the silkworm tool tracking process, if the number of silkworm tools in the associated side length interval of a certain type of silkworm tools can be counted in sequence, the current number counted will be configured to the associated path tracking table. If it cannot be counted in sequence, the silkworm tool interval will be set in the silkworm room status data, and the silkworm tool area associated with the silkworm tool interval will be calculated. Based on the silkworm tool area, horizontal span, vertical span and proportion, the number of silkworm tools of different types and different side length intervals will be calculated, and the obtained result will be configured to the associated path tracking table.

[0052] During the silkworm tool compensation tracking process, the field tracking personnel select or enter the type of silkworm tools in the silkworm tool compensation tracking table based on the current situation on site. If the number of silkworm tools in the associated side length interval of a certain type of silkworm tools can be counted in sequence, the current counted number will be configured into the tracking table. If it cannot be counted in sequence, the number of silkworm tools will be calculated by collecting the silkworm tool interval in the silkworm room status data.

[0053] Through the above steps, the rapid collection of silkworm tool intervals of different types, the accurate calculation of silkworm tool area, and the rapid and automatic statistics of the number of silkworm tools in intervals of different types and different side lengths can be achieved.

[0054] During the disinfection tracking process, the tracking personnel will determine from the online images or on-site conditions which ditch or pond is occupied by the management path based on the status of the online images and the overall path management map, and then set the occupied area as the disinfection treatment area in the silkworm room status data.

[0055] In the process of tracking the objects of screening out silkworm gizzards, rotten mulberry leaves, and dead silkworms, taking a section of silkworm tools to be screened out as an example, the distribution area of ​​the starting and ending points of the silkworm tools to be screened out can be collected by positioning the terminal device, or the starting and ending points of the silkworm tools to be screened out can be found in the silkworm room status data, and the distribution area of ​​the starting and ending points of the silkworm tools to be screened out can be collected by clicking. After the distribution area of ​​the starting and ending points of the silkworm tools to be screened out is collected, the currently used tracking path label and the collected distribution area are used as query indicators, and the ID and offset of the starting and ending points of the silkworm tools to be screened out are automatically calculated based on the basic data stored in the silkworm disease database, and the ID and offset are automatically entered into the tracking table of the objects of screening out silkworm gizzards, rotten mulberry leaves, and dead silkworms.

[0056] In the tracking of silkworm age status and symptoms, a method for quickly obtaining a prefabricated tracking form for silkworm blastoderma through management indicator log records solves the problems of slow input of tracking form content and difficulty in quickly finding the tracking location in the tracking of silkworm age status and symptoms, thereby improving the efficiency of inputting tracking form content.

[0057] In the tracking of symptoms of silkworm age status, based on the digital fast drawing method, the rapid setting of environmental nodes in the young silkworm room and the old silkworm room was achieved, which improved the drawing efficiency and the degree of digitization.

[0058] In the tracking of silkworm age status and symptoms, the rapid setting of the plan diagram of the silkworm room's surrounding environment is achieved by making change curves and editing the silkworm room status data with online images and the overall path management diagram, saving drawing time.

[0059] In the tracking of silkworm age status symptoms, through the rapid setting and display method of the silkworm room environment boundary line and the silkworm room environment bottom silkworm tool line, the silkworm density and the bottom silkworm tool size at the key points of the silkworm age status symptom sensor are quickly calculated, and the silkworm room environment boundary line and the silkworm room environment bottom silkworm tool line within the specified fluctuation range before and after the key points of the sensor are dynamically set, which is convenient for field tracking personnel to quickly and accurately obtain the cocoon color and other content of the disease at the current key points of the sensor.

[0060] In the tracking of silkworm tool compensation, the silkworm tool intervals are set in the silkworm room status data to achieve rapid collection of silkworm tool intervals; the silkworm tool area is accurately calculated based on the equal-area projection area calculation method; and the rapid and automatic statistics method for the number of silkworm tools is used to achieve rapid statistics of the number of silkworm tools in intervals of different types and side lengths.

[0061] In disinfection tracking, the disinfection treatment intervals of ponds, ditches, etc. are set by clicking and moving sampling points in the silkworm room status data, thereby realizing the rapid setting of disinfection treatment intervals and digital recording of geographical areas.

[0062] In the tracking of silkworm sand, rotten mulberry leaves and dead silkworms, the rapid collection of the distribution area of ​​the starting and ending points of the screening section is achieved through two methods: locating the collection area by terminal equipment and clicking on the collection area in the silkworm room status data. The automatic calculation of the ID and offset of the starting and ending points of the screening section is achieved through the ID and offset calculation method.

[0063] Example 2 Reference Figure 2 The present invention claims a silkworm disease development path tracking system based on intelligent management, comprising: The tracking table obtaining module is configured to: collect the silkworm room status data, and obtain the path tracking table of the associated type based on the sensor key point collection request; The tracking data input module is configured to: obtain the sensor key point position in the silkworm room status data, obtain the sensor key point ID, and configure it into the associated path tracking table; The tracking data input module is further configured to: obtain the tracking nodes in the path tracking table, configure the associated data into the path tracking table, and display the sensor key point ID and tracking cluster information associated with the path tracking table in the silkworm room status data; Among them, the associated data is configured into the path tracking table, specifically: When the data to be configured is the original tracking field content in the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained based on the silkworm disease database, the preset tracking field content related to the tracking path is obtained based on the label, the area of ​​the sensor key point in the tracking path is obtained, and the obtained area together with the preset tracking field content is configured into the path tracking table; When the data to be configured is not the tracking field content originally existing in the silkworm disease database, based on the tracking nodes in the path tracking table, the current tracking data, the graphic data obtained based on the current tracking data, the silkworm room status data change curve required by the tracking node and the marking information associated with the change curve are configured into the path tracking table.

[0064] Data preservation during the field tracking of the local silk factory survey is realized in a digital way. When conducting the field tracking of the local silk factory survey, the associated path tracking table is called based on the collected tracking request, and the preset tracking field content (such as the symptom name of the disease of young healthy silkworms, center ID, cocoon color, etc.) is obtained from the silkworm disease library based on the tracking node in the tracking table, and entered into the tracking table. The data missing in the tracking node is input through the current tracking activity. During the current tracking activity, based on different tracking node requirements, the current tracking data, the graphic data obtained based on the tracking data or the image data captured from the silkworm room status data and the associated marking data are input into the tracking table. By digitally inputting the tracking table, the efficiency of field tracking personnel in collecting tracking data is improved.

[0065] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules is only a logical function division, and there may be other division methods in the current implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or sequential coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0066] In addition, each functional module in each embodiment of the present application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules. The above is only an implementation method of the present application, and does not limit the patent range of the present application. All equivalent structures or equivalent process transformations based on the description and drawings of this application, or sequentially or indirectly used in other related technical fields, are similarly included in the patent protection range of the present application.

[0067] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A method for tracking the development path of silkworm disease based on intelligent management, characterized in that: include: Collect the silkworm room status data, and obtain the path tracking table of the associated type based on the sensor key point collection request; Obtain the sensor key point position in the silkworm room status data, obtain the sensor key point ID, and configure it into the associated path tracking table; Obtain the tracking nodes in the path tracking table, configure the associated data into the path tracking table, and display the sensor key point ID and tracking cluster information associated with the path tracking table in the silkworm room status data; Among them, the associated data is configured into the path tracking table, specifically: When the data to be configured is the tracking field content that already exists in the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained based on the silkworm disease database, the preset tracking field content related to the tracking path is obtained based on the label, the area of ​​the sensor key point in the tracking path is obtained, and the obtained area together with the preset tracking field content is configured into the path tracking table; When the data to be configured is not the tracking field content already existing in the silkworm disease database, based on the tracking nodes in the path tracking table, the current tracking data, the graphic data obtained based on the current tracking data, the silkworm room status data change curve required by the tracking node and the marking information associated with the change curve are configured into the path tracking table.

2. A method for tracking the development path of silkworm disease based on intelligent management according to claim 1, characterized in that: The tracking nodes include the young silkworm room environment node and the old silkworm room environment node. Based on the currently collected area and height, the attribute tags of the associated environmental nodes and each drainage channel in the environmental nodes are obtained and input into the associated tracking table.

3. A method for tracking the development path of silkworm disease based on intelligent management according to claim 1, characterized in that: The tracking node also includes a plan view of the silkworm room's surrounding environment. By retrieving the silkworm room status data and adjusting it to the set viewing angle, and setting the change curve interval, the required silkworm room status data change curve is used as the silkworm room's surrounding environment heat map, and metadata is marked in the image and input into the associated tracking table.

4. The method for tracking the development path of silkworm disease based on intelligent management according to claim 1, characterized in that: The tracking node also includes the number of silkworm tools. The number of silkworm tools is input in sequence through tracking, or by retrieving the silkworm room status data and setting the silkworm tool interval in the silkworm room status data. The number of silkworm tools of different types and different side lengths is obtained based on the area, span, longitudinal span and proportion of the silkworm tool interval and input into the associated tracking table.

5. The method for tracking the development path of silkworm disease based on intelligent management according to claim 1, characterized in that: The tracking node also includes a disinfection treatment interval. By retrieving the silkworm room status data, a disinfection interval and / or a disinfection treatment interval is set in the silkworm room status data, and the set interval is used as tracking data and input into the associated tracking table.

6. The method for tracking the development path of silkworm disease based on intelligent management according to claim 1, characterized in that: When the path tracking table is obtained to screen out silkworm litter, rotten mulberry leaves and diseased and dead silkworms, the tracking nodes include ID and offset. By retrieving the silkworm room status data, the silkworm litter, rotten mulberry leaves and diseased and dead silkworms that need to be separated due to the quality of the local silk factory are obtained in the silkworm room status data. The areas of the separation start and end points are collected, and based on the label of the current tracking path and the data stored in the silkworm disease database, the ID and offset of the separation start and end points are calculated and input into the associated tracking table.

7. The method for tracking the development path of silkworm diseases based on intelligent management according to claim 1, characterized in that: It also includes a pre-made tracking table for Bombyx Batryticatus disease based on the temperature and humidity management index log records, including: Based on the tag associated with the current tracking path, the associated silkworm disease information is collected based on the temperature and humidity management index log records, and based on the operation type, disease information category and the keywords of the symptom name in the disease information, the type of the silkworm disease prefabricated tracking table to be configured is obtained; based on the tag, the temperature and humidity operation log is queried to determine whether there is an abnormality. If there is no abnormality, the center ID in the disease information is the real ID, and the distribution area of ​​the key points of the sensor associated with the prefabricated tracking form is calculated based on the tag and the disease information center ID; if there is an abnormality, the center ID in the disease information is the abnormal ID, and the distribution area of ​​the key points of the sensor associated with the prefabricated tracking form is calculated based on the tag and the abnormal ID; The disease information associated with the tracking table and the distribution areas of the associated sensor key points are input into the tracking table of the associated type.

8. The method for tracking the development path of silkworm diseases based on intelligent management according to claim 1, characterized in that: The tracking nodes also include the boundary line of the silkworm room environment and the bottom silkworm tool line display of the silkworm room environment. Based on the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained, and the temperature and humidity operation log is queried based on the label to determine whether there is any abnormality; If there is no abnormality, the sensor key point ID is the real ID. Based on the real ID and the set fluctuation range, the silkworm density of the sensor key point, the size of the underlying silkworm tools at the sensor key point, the real ID of the underlying silkworm tools line point, the silkworm density of the underlying silkworm tools line point and the size of the underlying silkworm tools at the underlying silkworm tools line point are obtained based on the data stored in the silkworm disease database. The silkworm room environment boundary line, the silkworm room environment underlying silkworm tools line and the drainage channel that intersects with the silkworm room environment underlying silkworm tools line and the silkworm room environment boundary line are obtained; the associated data and the obtained pattern are configured in the path tracking table.

9. A method for tracking the development path of silkworm diseases based on intelligent management according to claim 8, characterized in that: If there is an abnormality, the sensor key point ID is the abnormal ID. Based on the abnormal ID and the fluctuation amplitude set before and after the sensor key point, and based on the data stored in the silkworm disease database, the silkworm density of the sensor key point, the size of the underlying silkworm tools at the sensor key point, the abnormal ID of the underlying silkworm tools line point, the silkworm density of the underlying silkworm tools line point and the size of the underlying silkworm tools at the underlying silkworm tools line point are obtained. The silkworm room environment boundary line, the silkworm room environment underlying silkworm tools line and the drainage channel that intersects with the silkworm room environment underlying silkworm tools line and the silkworm room environment boundary line are obtained; the associated data and the obtained pattern are configured in the path tracking table.

10. A silkworm disease development path tracking system based on intelligent management that implements the method described in any one of claims 1 to 9, characterized in that: include: The tracking table obtaining module is configured to: collect the silkworm room status data, and obtain the path tracking table of the associated type based on the key point collection request of the sensor; The tracking data input module is configured to: obtain the sensor key point position in the silkworm room status data, obtain the sensor key point ID, and configure it into the associated path tracking table; The tracking data input module is further configured to: obtain the tracking nodes in the path tracking table, configure the associated data into the path tracking table, and display the sensor key point ID and tracking cluster information associated with the path tracking table in the silkworm room status data; Among them, the associated data is configured into the path tracking table, specifically: When the data to be configured is the original tracking field content in the silkworm disease database, the label of the tracking path associated with the sensor key point ID is obtained based on the silkworm disease database, the preset tracking field content related to the tracking path is obtained based on the label, the area of ​​the sensor key point in the tracking path is obtained, and the obtained area together with the preset tracking field content is configured into the path tracking table; When the data to be configured is not the tracking field content originally existing in the silkworm disease database, based on the tracking nodes in the path tracking table, the current tracking data, the graphic data obtained based on the current tracking data, the silkworm room status data change curve required by the tracking node and the marking information associated with the change curve are configured into the path tracking table.

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