CN-121981411-A - LBS-based river and lake four-disorder problem studying and judging method and system

CN121981411ACN 121981411 ACN121981411 ACN 121981411ACN-121981411-A

Abstract

The invention provides a method and a system for studying and judging four disorder problems of rivers and lakes based on LBS, which belong to the technical field of informatization management, wherein the method comprises the steps of extracting personnel activity indexes in a space grid based on vector data of a river and lake management range after gridding treatment and LBS signaling data after desensitization treatment to obtain a personnel activity intensity time sequence; the method comprises the steps of carrying out STL time sequence decomposition and residual error anomaly detection on a personnel activity intensity time sequence, extracting an abnormal active grid, carrying out space fusion and conflict judgment on the abnormal active grid and multi-source geographic data to obtain a suspected illegal conflict area set, further extracting LBS behavior feature vectors based on the suspected illegal conflict area set, carrying out intelligent classification on the suspected illegal conflict areas through a preset Bayesian classification frame to obtain classified conflict areas, and finally constructing a multi-industry ecological pressure fusion evaluation model based on the classified conflict areas to carry out multi-industry ecological pressure fusion evaluation to realize intelligent identification and risk evaluation.

Inventors

LI ANYUN
YANG PENG
WANG QIAO
WEI RENWEI
ZHANG JUN
LUO WEIWEI
LIU BEINING
XIAO HAN

Assignees

长江水利委员会网络与信息中心

Dates

Publication Date: 20260505
Application Date: 20260409

Claims (10)

1. The method for studying and judging the four disorder problems of the river and the lake based on the LBS is characterized by comprising the following steps: Based on the river and lake management range vector data after gridding treatment and the LBS signaling data after desensitization treatment, extracting personnel activity indexes in the space grid to obtain a personnel activity intensity time sequence; Performing STL time sequence decomposition and residual error anomaly detection on the personnel activity intensity time sequence, and extracting an abnormal active grid; performing space fusion and conflict judgment on the abnormal active grid and the multi-source geographic data to obtain a suspected illegal conflict area set; extracting LBS behavior feature vectors based on the suspected illegal conflict zone set, and intelligently classifying the suspected illegal conflict zones through a preset Bayesian classification framework to obtain classified conflict zones; Based on the classified conflict areas, constructing a multi-industry ecological pressure fusion evaluation model to perform multi-industry ecological pressure fusion evaluation, and realizing intelligent identification and risk evaluation.
2. The LBS-based river and lake four disorder problem studying and judging method of claim 1, wherein the extracting the personnel activity index in the space grid based on the vector data of the river and lake management range after gridding processing and the LBS signaling data after desensitizing processing to obtain the personnel activity intensity time sequence comprises the following steps: Acquiring river and lake management range vector data, and performing space superposition on the river and lake management range vector data and a pre-established regional space grid index to obtain a management range-grid two-layer space unit; accessing desensitized LBS signaling data to the two layers of space units of the management range-grid, extracting the number of mobile phone users, signaling density, average residence time and user portrait information in the space grid, and obtaining gridding personnel activity data; Mapping the gridding personnel activity data to the space grids, and constructing personnel activity intensity time sequences of each grid in different time periods, wherein the personnel activity intensity time sequences are obtained by carrying out normalized weighting calculation on the number of mobile phone users, the signaling density and the average residence time.
3. The LBS-based river and lake four disorder problem studying and judging method according to claim 1, wherein the performing STL time sequence decomposition and residual anomaly detection on the personnel activity intensity time sequence, extracting an abnormal active grid comprises: Decomposing the personnel activity intensity time sequence into a seasonal component, a trend component and a residual component by adopting an STL decomposition algorithm to obtain a residual sequence; And calculating a standardized residual error based on the residual error sequence, detecting abnormal activity peaks by adopting a dynamic threshold method, identifying positive and negative anomalies, and extracting abnormal active grids according to continuity of abnormal states, accumulated occurrence times or multiples of activity intensity relative to a global average value.
4. The LBS-based river and lake four disorder problem studying and judging method according to claim 1, wherein the performing spatial fusion and conflict judgment on the abnormal active grid and the multi-source geographic data to obtain a suspected illegal conflict area set comprises: Spatially superposing the abnormal active grid and multi-source geographic data, wherein the multi-source geographic data comprises a water administrative allowable range, ground pattern spots, ecological sensitive area boundaries and water level dynamic data; Correcting the grid submerged state according to the water level dynamic data, and judging the preliminary type of the water activity, the land activity or the water-facing activity of the personnel activity to obtain a preliminary type judgment result; and carrying out superposition analysis on the preliminary type judgment result, the ground type image spots and the water administrative permission range, judging the conflict relation between the ground type and the permission rules through a business rule base, carrying out cross verification by combining with high-resolution remote sensing interpretation results, and outputting a suspected illegal conflict area set, wherein the suspected illegal conflict area set comprises a grid identification, an activity type, a ground type attribute, a permission state and a suspected illegal conflict area set of a remote sensing verification result.
5. The LBS-based river and lake four disorder problem studying and judging method according to claim 1, wherein the LBS behavior feature vector comprises a mean value of average independent user number, average stay time length, average track point density, visitor ratio and night activity ratio; Each classified conflict area comprises four major categories including unordered occupation, unordered collection, unordered stacking and unordered construction and subclasses thereof.
6. The LBS-based river and lake four disorder problem studying and judging method according to claim 1, wherein the constructing a multi-industry ecological pressure fusion evaluation model based on the classified conflict areas to perform multi-industry ecological pressure fusion evaluation, to realize intelligent recognition and risk evaluation, comprises: Constructing a multi-industry ecological pressure fusion evaluation model aiming at each classified conflict area, respectively calculating ecological pressure sub-indexes of four industries of water conservancy, environmental protection, transportation and agriculture, and obtaining a comprehensive ecological pressure index by weighting aggregation and introducing a barrel effect correction item; And generating a priority disposal list according to the comprehensive ecological pressure index, the conflict area and the violation probability, pushing the priority disposal list to a digital twin drainage basin platform for visual display and early warning, and realizing intelligent recognition and risk assessment of four disorder behaviors of the river and the lake.
7. The LBS-based river and lake four disorder problem studying and judging method of claim 6, wherein, The multi-industry ecological pressure fusion evaluation model comprises a water conservancy industry sub-model, an environment-friendly industry sub-model, a traffic industry sub-model and an agricultural industry sub-model; the ecological pressure sub-index is formed by the product of interference intensity, violation severity and ecological sensitivity; The interference intensity of the water conservancy industry submodel is calculated based on the ratio of the area of the conflict zone to the area of the buffer zone and the average residence time, and the ecological sensitivity is calculated based on the flood discharge risk level, the distance from the river and lake management range line and the shoreline stability parameter; the interference intensity of the environmental protection industry submodel is calculated based on the daily independent user number and pollution load coefficient, and the ecological sensitivity is calculated based on the water source protection area level and the rare aquatic organism habitat proximity.
8. An LBS-based river and lake four disorder problem studying and judging system, which is characterized by comprising: The preprocessing module is used for extracting personnel activity indexes in the space grid based on the river and lake management range vector data after the gridding processing and the LBS signaling data after the desensitization processing to obtain a personnel activity intensity time sequence; The abnormality detection module is used for carrying out STL time sequence decomposition and residual abnormality detection on the personnel activity intensity time sequence and extracting abnormal active grids; the anomaly extraction module is used for carrying out space fusion and conflict judgment on the anomaly active grid and the multi-source geographic data to obtain a suspected illegal conflict area set; the classification module is used for extracting LBS behavior feature vectors based on the suspected illegal conflict zone set, and intelligently classifying the suspected illegal conflict zones through a preset Bayesian classification framework to obtain classified conflict zones; and the evaluation module is used for constructing a multi-industry ecological pressure fusion evaluation model based on the classified conflict areas to perform multi-industry ecological pressure fusion evaluation, so as to realize intelligent identification and risk evaluation.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the LBS-based four river and lake problem studying and judging method according to any one of claims 1 to 7 when the computer program is executed.
10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the LBS-based river lake four disorder problem studying and judging method according to any one of claims 1 to 7.

Description

LBS-based river and lake four-disorder problem studying and judging method and system Technical Field The invention relates to the technical field of informatization management, in particular to a river and lake four-disorder problem studying and judging method and system based on LBS. Background The effective protection and reasonable utilization of the river and lake shoreline plays an important role in ecological civilization and economic and social development in coastal areas, and the ecological environment and flood discharge safety of the river and lake are brought with great hidden trouble in the aspects of disordered occupation, disordered collection, disordered stacking and disordered construction in the river and lake management range. The conventional river and lake four disorder (occupation disorder, collection disorder, construction disorder) supervision technology mainly depends on satellite remote sensing, unmanned aerial vehicle inspection and manual field inspection. However, these prior arts have the following core technical problems, on the one hand, the remote sensing recognition is lagged, the remote sensing image acquisition period is long, and it is difficult to realize near real-time monitoring of human activities in the river and lake areas, so that the activities which occur instantaneously or periodically cannot be captured in time. On the other hand, the hidden behaviors are difficult to identify, and remote sensing technology is difficult to effectively find and detect illegal behaviors such as temporary construction, night activities, indoor operations and the like. On the other hand, the prior art focuses on the recognition of space forms and lacks fusion analysis of deep information such as personnel activity intensity, space-time rules, business rules (such as land permission and land properties) and the like. On the other hand, the system is also influenced by artificial activities, so that quantification is lost, potential pressure caused by illegal activities to the water ecological environment is difficult to evaluate effectively, and therefore scientific early warning capability is lacking. The problems cause that the existing supervision means have obvious defects in real-time, comprehensive and hidden activity discovery and ecological influence quantification, and cannot meet the intelligent recognition and early warning requirements of 'four disorder' behaviors of rivers and lakes. Disclosure of Invention The invention provides a method and a system for studying and judging four disorder problems of rivers and lakes based on LBS, which are used for overcoming the defects of the prior art and realizing intelligent, real-time and accurate identification and risk judgment on four disorder behaviors of the rivers and the lakes by fusing dynamic personnel activity data with static geographic information and business rules. In a first aspect, the present invention provides a method for determining four disorder problems in rivers and lakes based on LBS, comprising: Based on the river and lake management range vector data after gridding treatment and the LBS signaling data after desensitization treatment, extracting personnel activity indexes in the space grid to obtain a personnel activity intensity time sequence; Performing STL time sequence decomposition and residual error anomaly detection on the personnel activity intensity time sequence, and extracting an abnormal active grid; performing space fusion and conflict judgment on the abnormal active grid and the multi-source geographic data to obtain a suspected illegal conflict area set; extracting LBS behavior feature vectors based on the suspected illegal conflict zone set, and intelligently classifying the suspected illegal conflict zones through a preset Bayesian classification framework to obtain classified conflict zones; Based on the classified conflict areas, constructing a multi-industry ecological pressure fusion evaluation model to perform multi-industry ecological pressure fusion evaluation, and realizing intelligent identification and risk evaluation. Further, the extracting the personnel activity index in the space grid based on the river and lake management range vector data after gridding treatment and the LBS signaling data after desensitization treatment to obtain a personnel activity intensity time sequence comprises the following steps: Acquiring river and lake management range vector data, and performing space superposition on the river and lake management range vector data and a pre-established regional space grid index to obtain a management range-grid two-layer space unit; accessing desensitized LBS signaling data to the two layers of space units of the management range-grid, extracting the number of mobile phone users, signaling density, average residence time and user portrait information in the space grid, and obtaining gridding personnel activity data; Mapping the gridding personnel activity d