WO-2026091231-A1 - GIS-BASED INTELLIGENT INSPECTION COMMAND METHOD AND SYSTEM

WO2026091231A1WO 2026091231 A1WO2026091231 A1WO 2026091231A1WO-2026091231-A1

Abstract

Provided in the present invention are a GIS-based intelligent inspection command method and system. The method comprises: step 1, dynamically acquiring site information of an inspection site at which inspection command needs to be performed; step 2, on the basis of GIS technology and the site information, constructing an inspection GIS model corresponding to the inspection site; step 3, on the basis of the inspection GIS model, determining an appropriate inspection command policy; and step 4, on the basis of the inspection command policy, correspondingly commanding at least one first inspector at the inspection site. In the GIS-based intelligent inspection command method and system of the present invention, a GIS model is constructed on the basis of site information of an inspection site, an appropriate inspection command policy is formulated on the basis of the GIS model, and inspectors are commanded correspondingly, and thus it is not necessary to deploy an inspection commander at the inspection site, thereby reducing labor costs; moreover, the occurrence of problems such as incomplete and irrational command that may exist in manual inspection command is avoided.

Inventors

LI, CHAO
LI, YANG

Assignees

南京邮电大学

Dates

Publication Date: 20260507
Application Date: 20241205
Priority Date: 20241029

Claims (10)

A GIS-based intelligent inspection and command method, characterized by comprising: Step 1: Obtain on-site information of the inspection site where inspection command is required; Step 2: Based on GIS technology and on-site information, construct a GIS model corresponding to the inspection site; Step 3: Based on the GIS model, formulate appropriate inspection command strategies; Step 4: Based on the inspection command strategy, give corresponding instructions to the multiple first inspection personnel in the inspection site.
The intelligent inspection and command method based on GIS as described in claim 1 is characterized in that step 3: based on the GIS model, a suitable inspection and command strategy is formulated, including: Training inspection command strategy formulation model; Based on the patrol and inspection command strategy formulation model, appropriate patrol and inspection command strategies are formulated according to the GIS model.
The GIS-based intelligent inspection and command method as described in claim 2 is characterized in that training the inspection and command strategy formulation model includes: Acquire multiple first-stage formulation processes for manually developing inspection command strategies; The first reliability of the first formulation process is verified, and at the same time, the second reliability of the corresponding process source of the first formulation process is verified. When all verifications are successful, the corresponding first formulation process will be used as the second formulation process. Integrate the various second-stage formulation processes to obtain training samples; Based on a pre-set model training algorithm, the model is trained on the training samples to obtain a patrol command strategy formulation model.
The GIS-based intelligent inspection and command method as described in claim 3 is characterized in that verifying the reliability of the first formulation process includes: Obtain the person who formulated the first formulation process; Obtain the first experience value corresponding to the person who made the decision, and at the same time, obtain the decision weight of the person who made the decision in the first decision process; Assign a specific weight to the first experience value to obtain the second experience value; By summing up the second empirical values, the first reliability of the first formulation process is obtained; If the first reliability is greater than or equal to the preset first reliability threshold, the first reliability of the first formulation process is verified. Otherwise, it failed.
The GIS-based intelligent inspection and command method as described in claim 3 is characterized in that verifying the second reliability of the process source corresponding to the first formulation process includes: Based on a preset process source association library, multiple associated process sources are identified that correspond to the process source of the first defined process; Obtain the first credit value corresponding to the source of the associated process, and at the same time, obtain the association weight corresponding to the association relationship between the source of the associated process and the source of the process. Assign a corresponding association weight to the first credit value to obtain the second credit value; The third credit score is obtained by averaging the second credit score. The fourth credit score corresponding to the source of the acquisition process; The third and fourth credit values are summed to obtain the second reliability of the process source corresponding to the first formulation process; If the second reliability is greater than or equal to the preset second reliability threshold, the second reliability of the corresponding process source of the first formulation process is verified. Otherwise, it failed.
The GIS-based intelligent inspection and command method as described in claim 1, characterized in that it further includes: When the first inspection personnel inputs a guidance request while inspecting the second field equipment, the expert node set corresponding to the second field equipment is obtained. The expert node set includes: multiple first expert nodes. Obtain the level of expertise of the first expert node corresponding to the second field equipment; Iterate through the first expert node in descending order of professional level; Get the node status corresponding to the first expert node encountered in each traversal. The node status includes: idle and busy. When the node corresponding to the first expert node encountered in each iteration is in an idle state, the corresponding first expert node will be used as the second expert node. When the node status corresponding to the first expert node encountered in each iteration is busy, obtain the execution progress of the task being executed by the corresponding first expert node; Retrieve the importance and execution progress of a task based on its task type - accessible value library; Based on the execution progress-interventionable value library, determine the interventionable values corresponding to the execution progress; If the importance is less than or equal to the preset importance threshold and the intervention value is less than or equal to the preset intervention value threshold, the corresponding first expert node will be used as the second expert node. The first inspection personnel are dynamically connected with the second expert node, and the second expert node guides the first inspection personnel to inspect the second field equipment.
A GIS-based intelligent inspection and command system, characterized in that it includes: The acquisition module is used to acquire on-site information of the inspection site where inspection command is required; The module is used to build a GIS model corresponding to the inspection site based on GIS technology and on-site information; A module is designed to develop appropriate inspection and command strategies based on GIS models. The command module is used to give corresponding commands to multiple first inspection personnel at the inspection site based on the inspection command strategy.
The GIS-based intelligent inspection and command system as described in claim 7 is characterized in that the planning module performs the following operations: Training inspection command strategy formulation model; Based on the patrol and inspection command strategy formulation model, appropriate patrol and inspection command strategies are formulated according to the GIS model.
The GIS-based intelligent inspection and command system as described in claim 8 is characterized in that the planning module performs the following operations: Acquire multiple first-stage formulation processes for manually developing inspection command strategies; The first reliability of the first formulation process is verified, and at the same time, the second reliability of the corresponding process source of the first formulation process is verified. When all verifications are successful, the corresponding first formulation process will be used as the second formulation process. Integrate the various second-stage formulation processes to obtain training samples; Based on a pre-set model training algorithm, the model is trained on the training samples to obtain a patrol command strategy formulation model.
The GIS-based intelligent inspection and command system as described in claim 9 is characterized in that verifying the first reliability of the first formulation process includes: Obtain the person who formulated the first formulation process; Obtain the first experience value corresponding to the person who made the decision, and at the same time, obtain the decision weight of the person who made the decision in the first decision process; Assign a specific weight to the first experience value to obtain the second experience value; By summing up the second empirical values, the first reliability of the first formulation process is obtained; If the first reliability is greater than or equal to the preset first reliability threshold, the first reliability of the first formulation process is verified. Otherwise, it failed.

Description

A GIS-based intelligent inspection and command method and system Technical Field This invention relates to the field of GIS technology, and in particular to a GIS-based intelligent inspection and command method and system. Background Technology Currently, when inspection personnel conduct inspections at the inspection site, it is necessary to set up inspection commanders to give corresponding instructions to the inspection personnel based on the equipment conditions at the inspection site. However, the inspection sites are generally large, requiring multiple inspection commanders, which results in high labor costs. In addition, manual inspection command may lead to problems such as incomplete or unreasonable command. Therefore, a solution is urgently needed. Summary of the Invention This invention provides a GIS-based intelligent inspection command method and system. Based on the on-site information of the inspection site, a GIS model is constructed. Based on the GIS model, appropriate inspection command strategies are formulated, and corresponding commands are given to the inspection personnel. There is no need to set up inspection command personnel on-site, which reduces labor costs. In addition, it avoids the problems of incomplete and unreasonable command that may occur when manual inspection command is carried out. This invention provides a GIS-based intelligent inspection and command method, comprising: Step 1: Obtain on-site information of the inspection site where inspection command is required; Step 2: Based on GIS technology, construct a GIS model corresponding to the inspection site according to the on-site information; Step 3: Based on the GIS model, formulate appropriate inspection command strategies; Step 4: Based on the inspection command strategy, give corresponding commands to the multiple first inspection personnel in the inspection site. Preferably, step 3: Based on the GIS model, formulate a suitable inspection command strategy, including: Training inspection command strategy formulation model; Based on the inspection command strategy formulation model, and according to the GIS model, a suitable inspection command strategy is formulated. Preferably, the training patrol command strategy formulation model includes: Acquire multiple first-stage formulation processes for manually developing inspection command strategies; The first reliability of the first formulation process is verified, and at the same time, the second reliability of the corresponding process source of the first formulation process is verified. When all verifications are successful, the first formulation process will be used as the second formulation process. Integrate the various second-stage formulation processes to obtain training samples; Based on a preset model training algorithm, the training samples are used to train the model and obtain a patrol command strategy formulation model. Preferably, verifying the first reliability of the first formulation process includes: Obtain the person who made the decision-making process corresponding to the first decision-making process; Obtain the first experience value corresponding to the person making the decision, and at the same time, obtain the decision weight of the person making the decision in the first decision process; Assign the first experience value to the specified weight to obtain the second experience value; By summing up each of the second empirical values, the first reliability of the first formulation process is obtained; If the first reliability is greater than or equal to the preset first reliability threshold, the first reliability of the first formulation process is verified. Otherwise, it failed. Preferably, the second reliability verification of the process source corresponding to the first formulation process includes: Based on a preset process source association library, multiple associated process sources are determined that correspond to the process source of the first defined process; Obtain the first credit value corresponding to the source of the association process, and at the same time, obtain the association weight corresponding to the association relationship between the source of the association process and the source of the process. Assign the first credit value the associated weight to obtain the second credit value; The third credit score is obtained by averaging the second credit score. Obtain the fourth credit value corresponding to the source of the process; The third credit value and the fourth credit value are summed to obtain the second reliability of the process source corresponding to the first formulation process; If the second reliability is greater than or equal to the preset second reliability threshold, the second reliability of the corresponding process source of the first formulation process is verified. Otherwise, it failed. Preferably, the GIS-based intelligent inspection and command method also includes: After giving instru