Illegal dumping ground identification method and device, electronic equipment and computer storage medium

Abstract

The present application relates to big data technology, provide a kind of illegal dumping ground identification method, device, electronic equipment and computer storage medium, the method comprises: obtaining in the period of illegal dumping behavior, and with the known dumping ground of illegal dumping behavior related first mobile phone signaling data;According to the first mobile phone signaling data, determine to reach the all starting points of known dumping ground and the first abnormal round trip record between each starting point and known dumping ground;According to the geographical position of each starting point, all starting points are aggregated in at least one grid;According to the first abnormal round trip record in each grid and the land use type of each grid, determine the source of illegal dumping behavior.This scheme can be fused multi-source data accurately identify illegal dumping source.

Description

Technical Field

[0001] This invention relates to the field of big data technology, and more specifically, to a method, apparatus, electronic device, and computer storage medium for identifying illegal dumping sites. Background Technology

[0002] Environmental protection is a fundamental national policy of my country, and the harmless treatment of pollutants is a basic requirement of environmental management, especially for pollutants such as solid waste and hazardous waste that pose serious hazards. Illegal dumping of solid / hazardous waste creates potential disruption to environmental governance and residents' lives.

[0003] Currently, the identification of illegal dumping of solid and hazardous waste mainly includes two approaches: one is to rely on public reports and then conduct on-site investigations and evidence collection before taking action; the other is to organize manual patrols and drone aerial photography to regularly investigate key areas. The former has low identification efficiency, while the latter has low identification accuracy. Summary of the Invention

[0004] The purpose of this invention is to provide a method, device, electronic device, and computer storage medium for identifying illegal dumping.

[0005] The embodiments of the present invention can be implemented as follows: In a first aspect, the present invention provides a method for identifying illegal dumping sites, the method comprising: Acquire first mobile phone signaling data related to a known dumping site during the period in which the illegal dumping occurred; Based on the first mobile phone signaling data, determine all starting points to the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site; Based on the geographical location of each of the stated starting points, all the stated starting points are aggregated into at least one grid; The source of the illegal dumping is determined based on the first abnormal round-trip record within each grid and the land use type of each grid.

[0006] In an optional implementation, the first mobile signaling data includes multiple signaling records sent by multiple users, and the step of determining all starting points to the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site based on the first mobile signaling data includes: Obtain the signaling record of each user from the first mobile phone signaling data; Based on the signaling records of each user, determine each first abnormal round-trip record of each user to the known dumping site; The corresponding starting point for reaching the known dumping site is determined from the round-trip trajectory points of each first abnormal round-trip record, and finally all the starting points for all users to reach the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site are obtained.

[0007] In an optional implementation, the step of determining each first abnormal round-trip record of each user to the known dumping site based on the signaling records of each user includes: Based on the signaling records of each user, determine each travel trajectory of each user to the known dumping site; For each travel trajectory, a corresponding round-trip record is determined, which includes travel time, travel speed, and travel origin. All round-trip records in which the travel time is within a preset time period, the travel speed is greater than a preset speed, and the origin of the trip is not a preset normal activity location are identified as first abnormal round-trip records, thus obtaining each first abnormal round-trip record for each user to reach the known dumping location.

[0008] In an optional implementation, the travel trajectory includes multiple trajectory points, and the step of determining the corresponding round-trip record based on each travel trajectory includes: If the interval between the earliest and latest times in two consecutive travel trajectories does not exceed a preset interval, the two travel trajectories are determined as a round-trip trajectory. For any of the round-trip trajectories, obtain the earliest and latest times among multiple trajectory points of the round-trip trajectory, and determine the earliest time as the travel time of the round-trip record corresponding to the round-trip trajectory; Based on the earliest and latest times, calculate the travel speed of the round-trip records corresponding to the round-trip trajectory; The starting point of the round trip record corresponding to the round trip trajectory is determined based on the distance between each of the plurality of trajectory points and the known dumping site.

[0009] In an optional implementation, the step of determining the source of the illegal dumping based on the first abnormal round-trip record within each grid and the land use type of each grid includes: The total number of records of the first abnormal round trip between the starting point and the known dumping site within each grid is counted; The grids whose total number of records is greater than a preset value and whose land use type includes the preset industrial land are identified as the source locations.

[0010] In an optional implementation, the step of acquiring first mobile phone signaling data related to a known dumping site during the period in which the illegal dumping occurred includes: Obtain the geographical location of the known dumping site, and designate an area within a preset range of the geographical location as the first target area; The base station covering the first target area is identified as the target base station; The first mobile phone signaling data is obtained from the target base station.

[0011] In an optional implementation, the method further includes: Acquire second mobile phone signaling data related to a second target area within a preset range of the source location within a preset time period; Based on the second mobile signaling data, determine all arrival points from the source location to the target area and the second abnormal round-trip record between the source location and each of the arrival points; Based on the geographical location of each arrival point, all arrival points are aggregated into at least one grid. Based on the second abnormal round-trip record within each grid and the land use type of each grid, the dumping site of the new illegal dumping is determined.

[0012] Secondly, the present invention provides an illegal dumping site identification device, the device comprising: The acquisition module is used to acquire first mobile phone signaling data related to a known dumping site during the period in which the illegal dumping occurred; The determination module is used to determine, based on the first mobile phone signaling data, all starting points leading to the known dumping site and a first abnormal round-trip record between each starting point and the known dumping site; An aggregation module is used to aggregate all the said starting points into at least one grid according to the geographical location of each said starting point; The determining module is further configured to determine the source of the illegal dumping based on the first abnormal round-trip record within each grid and the land use type of each grid.

[0013] Thirdly, the present invention provides an electronic device including a processor and a memory, the memory being used to store a program, and the processor being used to implement the method described in the first aspect of the foregoing embodiments when executing the program.

[0014] Fourthly, the present invention provides a computer storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect of the foregoing embodiments.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This invention determines all origin points leading to a known dumping site and abnormal round-trip records between each origin point and the known dumping site based on mobile phone signaling data related to the known dumping site during the time period of the illegal dumping. The origin points are then aggregated into a grid. Based on the abnormal round-trip records within the grid and the land use type of the grid, the source of the illegal dumping is determined. This invention improves the efficiency and accuracy of illegal dumping identification by integrating information from multiple sources, including the time period of the illegal dumping, known dumping sites, mobile phone signaling data, and land use type. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the illegal dumping identification method provided in this embodiment.

[0018] Figure 2 This is an example diagram for identifying illegal dumping sites provided in this embodiment.

[0019] Figure 3 This is a flowchart illustrating the method for identifying potential risks of illegal dumping sites provided in this embodiment.

[0020] Figure 4 This is an example map showing the location of the illegal case provided in this embodiment.

[0021] Figure 5 This is a map example of the source location tracing results provided in this embodiment.

[0022] Figure 6 This is a map example for land use overlay exclusion provided in this embodiment.

[0023] Figure 7 This is an example of a potential illegal dumping site risk map provided in this embodiment.

[0024] Figure 8 This is a block diagram of the illegal dumping identification device provided in this embodiment.

[0025] Figure 9 This is a block diagram of the electronic device provided in this embodiment.

[0026] Icons: 10-Electronic device; 11-Processor; 12-Memory; 13-Bus; 100-Illegal dumping identification device; 110-Acquisition module; 120-Determination module; 130-Aggregation module. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0029] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0030] In the description of this invention, it should be noted that if terms such as "upper," "lower," "inner," or "outer" are used to indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of this invention is usually placed, they are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this invention.

[0031] Furthermore, the terms "first" and "second" are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.

[0032] It should be noted that, where there is no conflict, the features in the embodiments of the present invention can be combined with each other.

[0033] The difficulties in identifying illegal dumping of solid and hazardous waste mainly include three aspects: (1) Difficulty in early detection and management. The dumping occurs mostly at night, in remote and scattered locations, making the crime relatively concealed; (2) Difficulty in clarifying the facts of the crime. The perpetrators include waste-generating enterprises, waste treatment contractors, transporters, and dumpers. The number of perpetrators is large, the coverage is wide, and the areas involved are numerous, making it easy to miss criminals and facts; (3) Difficulty in curbing the source. The threshold and cost of illegal dumping of waste across regions are low, while the profits are high, the evidence collection period is long, and the identification cost is high.

[0034] Due to the aforementioned difficulties, the existing identification methods relying on public reports have the following shortcomings: 1) The quality of clues is low and the effective conversion rate is insufficient. Public reports rely on non-professional equipment, resulting in an insufficient effective conversion rate of clues. There is also a phenomenon of "not daring to report" and "not willing to report". However, even for unreliable clues, the environmental protection department still needs to invest additional manpower to verify them. 2) Information lag is significant, and environmental damage is irreversible. Because illegal activities often occur at night or in remote areas, by the time the public discovers them, the dumping has often been completed and the people have already evacuated. By the time the clues are reported to the environmental protection department, the pollutants have already spread or seeped in, increasing the subsequent cleanup costs. 3) There are "double blind spots" in the regional coverage, and most behaviors are hidden, especially in some sparsely populated areas. In addition, many seemingly legal areas cannot be effectively regulated, such as the premises inside enterprises, which are actually illegal.

[0035] While manual inspections and drone aerial photography overcome some of the shortcomings mentioned above, they also have the following drawbacks: 1) High cost and inefficient coverage do not match demand. Regular inspections by drones have undoubtedly greatly improved the means of environmental supervision, but the time for a single inspection is limited and the coverage area is also limited. Currently, only key areas can be inspected, and remote areas cannot be inspected frequently. 2) The drones are highly dependent on the environment and it is difficult to monitor the high-incidence periods of illegal activities. The effective flight time of drones is affected by darkness and bad weather, which are the high-incidence periods of illegal activities, resulting in a serious mismatch between the monitoring coverage and the high-incidence period of illegal activities.

[0036] 3) The perceived exposure of regulatory intent leads to escalating evasive behavior by violators. The drones fly with noticeable noise (about 70 decibels) and visible light (nighttime fill lights), which to some extent makes violators more vigilant and thus intentionally hide their illegal activities, increasing the difficulty of identification.

[0037] In addition, both of the above methods are mainly based on "post-event discovery" and lack the ability to proactively warn of "abnormal dumping risks".

[0038] In view of this, this embodiment provides a method, device, electronic device, and computer storage medium for identifying illegal dumping sites. It utilizes mobile phone signaling data, combined with information from multiple sources such as the time of occurrence of the illegal dumping, known dumping sites, and land use types, thereby improving the efficiency and accuracy of illegal dumping identification. A detailed description follows.

[0039] Please refer to Figure 1 , Figure 1 This is a flowchart illustrating the illegal dumping site identification method provided in this embodiment. The method includes the following steps: Step S101: Obtain first mobile phone signaling data related to the known dumping site during the period in which the illegal dumping occurred.

[0040] In this embodiment, existing illegal dumping penalty case data can be obtained. Under the premise of desensitization and compliance with data security regulations, the distribution data of existing illegal dumping sites can be obtained through address parsing of Internet maps and specific coordinate data in the cases. At the same time, the dates of the corresponding cases can be sorted out to obtain the time period of the illegal dumping behavior and the known dumping sites.

[0041] In this embodiment, the first mobile signaling data includes anonymous users who have sent mobile signaling messages at the known dumping site, and mobile signaling data sent during the period when the illegal dumping occurred, including, but not limited to, information such as the mobile phone's device identifier, signaling transmission time, and the corresponding base station location.

[0042] Step S102: Determine all starting points to the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site based on the first mobile phone signaling data.

[0043] In this embodiment, the starting point does not refer to the actual starting point of a vehicle, but rather to the location where the anonymous user stayed for a long period of time before heading to the known crash site, which is inferred by analyzing the anonymous user's movement trajectory.

[0044] In this embodiment, by analyzing data from illegal dumping penalty cases, the travel characteristics of illegal dumping behavior were identified. Only travel meeting these characteristics is considered abnormal travel. For example, travel characteristics may include: travel time at night, travel speed exceeding a preset speed, and multiple round trips not related to residence or workplace. Such abnormal travel is more likely to represent non-routine transportation behavior and is suspected of being illegal transportation.

[0045] Step S103: Based on the geographical location of each starting point, aggregate all starting points into at least one grid.

[0046] In this embodiment, a pre-defined area within a known dumping site can be used as the target area. The target area is divided into multiple geographic grids of a pre-defined size, which can be set according to the size of the target area and the density of the known dumping sites. Geographical locations can be identified using latitude and longitude coordinates. Based on the latitude and longitude coordinates of each starting point, it is assigned to the corresponding grid.

[0047] Step S104: Determine the source of the illegal dumping based on the first abnormal round-trip record in each grid and the land use type of each grid.

[0048] In this embodiment, the first abnormal round-trip record within any grid can be obtained by statistically analyzing the first abnormal round-trip records between each starting point and a known dumping site within that grid. This effectively highlights frequently occurring hotspot areas and avoids interference from individual, accidental events in the judgment.

[0049] In this embodiment, land use types include, but are not limited to, industrial land, commercial land, residential land, arable land, and forest land. Since solid waste, especially hazardous waste, mainly originates from industrial enterprises, only areas in the grid that include industrial land are likely to be potential sources. Furthermore, because solid and hazardous waste dumping typically has a high temporal density, the corresponding number of first abnormal round-trip records is also relatively large. Grids meeting these two characteristics are at a higher risk of being sources of illegal dumping. Through this re-screening mechanism of first abnormal round-trip records and land use type, areas unlikely to generate large-scale waste, such as residential areas and farmland, can be effectively excluded. This allows enforcement resources to be precisely focused on truly high-risk enterprise clusters or industrial parks, significantly improving the targeting and efficiency of environmental supervision.

[0050] The method provided in this embodiment improves the efficiency and accuracy of identifying illegal dumping by integrating information from multiple sources, including the time of occurrence of the illegal dumping, known dumping sites, mobile phone signaling data, and land use type.

[0051] In an optional implementation, to ensure more comprehensive coverage of the acquired mobile signaling data and avoid missing information that could affect identification accuracy, while also preventing a large amount of low-value mobile signaling data from interfering with the identification results and improving data processing efficiency, this embodiment provides a method for acquiring the first mobile signaling data: First, obtain the geographical location of the known dumping site, and take the area within a preset range of the geographical location as the first target area; In this embodiment, the geographical location of a known dumping site can be a range of latitude and longitude within the coverage area of ​​that known dumping site. Since mobile phone signal positioning is not precise to a single point but relies on the coverage radius of the base station, ensuring that signaling data generated by mobile devices that briefly stayed near the dumping site but actually participated in dumping or transportation activities are not missed, this embodiment uses each known dumping site as the center and expands outwards by a preset range (e.g., 800 meters) to form a circular or buffer polygonal area. This expanded area is the first target area.

[0052] Secondly, the base station covering the first target area is identified as the target base station; In this embodiment, the mobile communication network consists of a large number of base stations distributed in urban and rural areas. Each base station has a defined service area and is typically distributed in a cellular pattern. The base stations covering the first target area are physically able to capture the communication behavior of users entering and leaving the first target area.

[0053] Finally, the first mobile signaling data is obtained from the target base station.

[0054] In this embodiment, since only signaling data from the target base station is likely to contain travel clues related to illegal dumping, the first mobile phone signaling data is limited to extraction from the target base station, which can significantly reduce the amount of data processing and improve analysis efficiency.

[0055] In an optional implementation, since the number of users generating signaling data at a known dumping site may be relatively large, to avoid interference between signaling data from different users, this embodiment provides an implementation method for determining abnormal round-trip records for each user: First, obtain the signaling records for each user from the first mobile signaling data; In this embodiment, the first mobile signaling data includes multiple signaling records sent by multiple users. All signaling records belonging to the same anonymous user are merged together to form independent user-level trajectory sequences. For example, assuming that 1,000 different anonymous devices have connected to the target base station during the target time period, the system will generate 1,000 sets of independent signaling records, each set corresponding to a user's complete activity trajectory during the entire analysis period.

[0056] Secondly, based on the signaling records of each user, determine each first abnormal round-trip record of each user to the known dumping site; In this embodiment, the signaling record can represent a connection behavior between a mobile phone and a base station at a certain moment, including information such as the anonymous identifier of the mobile phone, the time when the signaling occurred, and the location of the connected base station.

[0057] Finally, the corresponding starting point for reaching the known dumping site is determined from the round-trip trajectory points of each first abnormal round-trip record, and finally, all starting points for all users to reach the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site are obtained.

[0058] In this embodiment, for any first abnormal round trip record of any user, it includes a movement trajectory of the user to the known dumping site. The movement trajectory includes a sequence of trajectory points composed of multiple trajectory points in chronological order. Each trajectory point can be a dwell point where the mobile phone stays at the corresponding location for a period of more than a preset time.

[0059] In an optional implementation, even for the same user, the reason they generate signaling data at a known dumping site might be due to normal passing or activity. To exclude normal travel records and obtain more reliable abnormal travel records, this embodiment provides an implementation method for determining whether an abnormal travel record exists for a single user: First, based on each user's signaling records, determine each user's travel trajectory to the known dumping site; Secondly, the corresponding round-trip records are determined based on each travel trajectory. The round-trip records include travel time, travel speed and travel origin. In this embodiment, the travel time can be the earliest time point among all trajectory points on the round-trip trajectory; the travel speed can be the average travel speed obtained by estimating the ratio of the distance traveled from the departure position corresponding to the travel time to the known dumping site to the time taken. As for the travel origin, it is determined by tracing back the location where the user last stayed for a long time before this trip, which is usually a stable camping point that continuously generates multiple signaling records under a fixed base station. This location is identified as the actual departure point of this trip.

[0060] Finally, all round-trip records with travel times within a preset time period, travel speeds greater than a preset speed, and origins not from a preset normal activity location are identified as first abnormal round-trip records, thus obtaining each first abnormal round-trip record for each user to reach a known dumping site.

[0061] In this embodiment, the preset time period can be determined from information on illegal cases. For example, the preset time period can be set to 8 PM to 7 AM the following morning. The preset speed can be set according to actual conditions. For example, illegal dumping usually involves transportation by motor vehicles, and vehicles with a speed lower than 30 km / h are unlikely to be motor vehicles. Therefore, the preset speed can be set to 30 km / h. The preset normal activity location includes, but is not limited to, the user's residence, workplace, and other normal activity locations. This can be set based on user information or determined based on the user's mobile phone signaling data.

[0062] As one implementation method, for any user, the way to determine the place of residence based on the user's mobile phone signaling data is as follows: determine the user's nighttime place of stay during a preset nighttime period based on the mobile phone signaling data, and for each nighttime place of stay, calculate the length of stay within the preset period (e.g., the most recent month) and the number of days stayed within the preset period, and take the nighttime place of stay that exceeds the preset number of days (e.g., 10 days) and has the longest length of stay as the place of residence.

[0063] Similarly, the way to determine the work location based on the user's mobile phone signaling data can be: determine the user's daytime residence during a preset daytime period based on the mobile phone signaling data, calculate the residence duration within the preset period (e.g., the most recent month) and the number of days spent in the preset period for each daytime residence, and take the daytime residence with the longest residence duration and the number of days exceeding the preset number of days (e.g., 10 days) as the residence.

[0064] It should be noted that residence and workplace are the user's primary normal activity locations, and the two can overlap. That is to say, some users' residence and workplace are in the same place, and the user's residence and workplace can be preset as the user's default normal activity locations.

[0065] In an optional implementation, to avoid noise data generated by short stays affecting the accuracy of round-trip record identification, and thus affecting the accuracy of abnormal round-trip records, this embodiment provides a method for determining the round-trip record corresponding to any travel trajectory: First, if the interval between the earliest and latest times in two consecutive travel trajectories does not exceed the preset interval, the two travel trajectories are determined as a round-trip trajectory. Secondly, for any round-trip trajectory, obtain the earliest and latest times among multiple trajectory points of the round-trip trajectory, and determine the earliest time as the travel time of the round-trip record corresponding to the round-trip trajectory; In this embodiment, considering that a round trip of illegal dumping usually does not exceed 24 hours and the duration of a round trip of illegal dumping is not too short, this embodiment only focuses on round trip trajectories within one day, and the interval between the earliest and latest times is greater than a preset interval (e.g., 30 minutes).

[0066] Secondly, based on the earliest and latest times, calculate the travel speed of the round-trip records corresponding to the round-trip trajectory; Finally, based on the distance between each trajectory point and the known dumping site, the starting point of the round-trip record corresponding to the round-trip trajectory is determined.

[0067] In this embodiment, by analyzing all the user's trajectory points before reaching the known dumping site, the geographical distance between each trajectory point and the known dumping site is calculated, and the location with the farthest distance and the longest continuous stay is identified, i.e., the location where multiple signaling records are continuously generated under a fixed base station. This location is considered the user's actual departure point for this trip, i.e., the starting point of the journey.

[0068] In an optional implementation, based on the correlation between the illegal dumping site and the land use type, and in order to focus on cases with a high frequency of illegal dumping and improve the targeting of identification, this embodiment provides a method for determining the source of illegal dumping based on abnormal round-trip records and land use type: First, count the total number of records of the first abnormal round trip between the starting point and the known dumping site in each grid. Secondly, grids with a total number of records greater than the preset value and whose land use type includes the preset industrial land are identified as the source locations.

[0069] In this embodiment, a dual screening mechanism is used to determine the source. The first condition is a quantity threshold: only when the total number of the first abnormal round trip records within a grid exceeds a preset value (e.g., 10 times) is the grid considered. This threshold prevents occasional or sporadic behavior from being mistakenly identified as a source. The second condition is land use matching: by obtaining land use data, the actual use of each high-frequency grid is queried. Since legal solid waste or hazardous waste is usually generated by industrial enterprises, only grids marked as industrial land, warehousing land, or other types that may involve production and manufacturing activities are retained. Conversely, if a grid has high-frequency round trips but its land use type belongs to non-waste-generating areas such as residential areas, commercial centers, parks and green spaces, or agricultural land, it is highly likely to be excluded as a real source, thus avoiding misleading law enforcement resources. Only grids that simultaneously meet the two conditions of "high frequency" and "industrial attributes" will ultimately be identified as the source of illegal dumping.

[0070] In this embodiment, the preset value can be set according to actual needs; for example, the preset value can be set to 10.

[0071] In an optional implementation, to improve the early warning capability of abnormal dumping risks, this embodiment also provides an implementation method for determining a new dumping site based on a known source location: First, acquire second mobile phone signaling data related to a second target area within a preset range of the source location within a preset time period; In this embodiment, the determination method for the second target area is similar to that for the first target area, the difference being that the second target area is the area surrounding the identified source location, while the first target area is the area surrounding the known dumping site. The acquisition method for the second mobile phone signaling data is similar to that for the first mobile phone signaling data, and will not be described again here.

[0072] Secondly, based on the second mobile phone signaling data, determine all arrival points from the source to the target area, as well as the second abnormal round-trip records between the source and each arrival point; In this embodiment, the determination methods of the second abnormal round-trip record and the first abnormal round-trip record are similar. The difference is that the former starts from the source location and determines the destination to be reached, while the latter determines the source location when the destination is a known dumping site. The former uses the method of the farthest distance in the determination process, while the latter uses the method of the farthest distance and the continuous stay time is greater than the preset stay time in the determination process. The specific process can be referred to the previous description, and will not be repeated here.

[0073] Third, based on the geographical location of each arrival point, all arrival points are aggregated into at least one grid. Finally, based on the second abnormal round-trip record within each grid and the land use type of each grid, the dumping site of the new illegal dumping was determined.

[0074] In this embodiment, the method for determining the dumping site of a new illegal dumping activity is similar to the method for determining the source location, which is also a dual screening mechanism: the number of second abnormal round-trip records within the grid exceeds a preset value, and the land use type of the grid meets the requirements. Since the illegal dumping sites of solid waste and hazardous waste are usually unlikely to be commercial land, residential land, etc., but are more likely to be forest land, grassland, cultivated land, etc., when determining the dumping site of a new illegal dumping activity, the land use type of the grid includes forest land, grassland, cultivated land, etc.

[0075] Based on the illegal dumping site identification method described above, this embodiment also provides a closed-loop implementation method that traces the source of known dumping sites and then identifies new potential risk dumping sites based on the traced source. Please refer to... Figure 2 , Figure 2 This is an example diagram for identifying illegal dumping sites provided in this embodiment. Figure 2 The identified illegal dumping sites include illegal destination 1 (wasteland), illegal destination 2 (demolition site), illegal destination 3 (unlicensed site), and illegal dumping site. Using the illegal dumping site identification method provided in this embodiment, three source sites were identified: source 1, source 2, and source 3. Based on the identified source 1, source 2, and source 3, a new illegal dumping site was identified: illegal destination n. The "???" in the figure indicates that its type is unknown and needs to be further confirmed based on the land data information of the illegal destination.

[0076] based on Figure 2 This embodiment also provides a method for automatically identifying potentially risky illegal dumping sites. Please refer to [link / reference]. Figure 3 , Figure 3 This is a flowchart illustrating the method for identifying potential risks of illegal dumping sites provided in this embodiment. The method includes the following steps: Step S1: Obtain multi-source data; In this embodiment, the multi-source data includes, but is not limited to, known illegal dumping sites and dates obtained from analysis of existing illegal dumping case data, land use data, mobile phone signaling data, and user habitual activity location data determined from the mobile phone signaling data (including, but not limited to, the user's residence and workplace). To facilitate the display of the final results in a map format, a corresponding map can be obtained based on the known illegal dumping sites. See the following for details. Figure 4 , Figure 4 This is an example map showing the location of the illegal case provided in this embodiment. Figure 4 Among them, there are four known illegal dumping sites: anli_1, anli_2, anli_3, and anli_4.

[0077] Step S2: Trace back to the source; In this embodiment, the source location is determined using the aforementioned illegal dumping site identification method, as detailed in steps S101-S104 and their specific implementation. A map display of the source location tracing results is available in [link to map]. Figure 5 , Figure 5 This is a map example of the source location tracing results provided in this embodiment. Figure 5 Each blue circle in the diagram represents a source location.

[0078] Step S3: Identify unknown illegal dumping sites based on their origin; In this embodiment, the specific implementation method can be found in the above embodiment regarding the determination of new dumping sites based on the source location. For ease of map display, the identified new illegal dumping sites are overlaid with a land use map to exclude identification results that do not match the land use type. Please refer to... Figure 6 , Figure 6 This is a map example for land use overlay exclusion provided in this embodiment. Figure 6 The land use classifications include: Business, Industry, Office, Other, Public service, and Residence. Red circles indicate the risk of illegality, and the shade of red indicates the intensity of the risk; the darker the red, the higher the intensity of the risk.

[0079] Step S4: Risk Assessment; Step S5: Output the risk assessment map.

[0080] In this embodiment, based on identified potential illegal locations, using grids as the basic unit and weekly or monthly periods (which can be adjusted as needed), the number of people illegally transporting goods (i.e., the number of abnormal round-trip records) can be counted to reflect the level of risk. The relevant data can then be used to create a heatmap on a map to obtain a risk map. An example of a specific risk map can be found in [reference needed]. Figure 7 .

[0081] To perform the corresponding steps in the above embodiments and various possible implementations, an implementation method of the illegal dumping identification device 100 is given below. Please refer to... Figure 8 , Figure 8 This is a block diagram of the illegal dumping identification device provided in this embodiment. It should be noted that the basic principle and technical effects of the illegal dumping identification device 100 provided by the present invention are the same as those of the corresponding embodiments described above. For the sake of brevity, some parts of this embodiment are not mentioned.

[0082] The illegal dumping identification device 100 includes an acquisition module 110, a determination module 120, and an aggregation module 130.

[0083] The acquisition module 110 is used to acquire first mobile phone signaling data related to the known dumping site during the time period in which the illegal dumping occurred. The determination module 120 is used to determine, based on the first mobile phone signaling data, all starting points to the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site; Aggregation module 130 is used to aggregate all starting points into at least one grid according to the geographical location of each starting point; The determination module 120 is also used to determine the source of illegal dumping based on the first abnormal round-trip record in each grid and the land use type of each grid.

[0084] In an optional implementation, the first mobile phone signaling data includes multiple signaling records sent by multiple users, and the determining module 120 is specifically used for: Obtain the signaling records for each user from the first mobile signaling data; Based on each user's signaling records, determine each user's first abnormal round-trip record to the known dumping site; From the round-trip trajectory points of each first abnormal round-trip record, determine the corresponding starting point to the known dumping site, and finally obtain all the starting points of all users to the known dumping site, as well as the first abnormal round-trip record between each starting point and the known dumping site.

[0085] In an optional implementation, the determining module 120, when specifically used to determine each first abnormal round-trip record of each user to a known dumping site based on each user's signaling record, is further used to: Based on each user's signaling records, determine each user's travel trajectory to the known dumping site; For each travel trajectory, a corresponding round-trip record is determined, which includes travel time, travel speed, and origin. All round-trip records with travel times within a preset time period, travel speeds greater than a preset speed, and origins not from a preset normal activity location are identified as first abnormal round-trip records, thus obtaining each first abnormal round-trip record for each user to reach a known dumping location.

[0086] In an optional implementation, the travel trajectory includes multiple trajectory points, and the determining module 120, when specifically used to determine the corresponding round-trip record based on each travel trajectory, is further used for: If the interval between the earliest and latest times in two consecutive travel trajectories does not exceed the preset interval, the two travel trajectories will be determined as a round-trip trajectory. For any round-trip trajectory, obtain the earliest and latest times among multiple trajectory points of the round-trip trajectory, and determine the earliest time as the travel time of the round-trip record corresponding to the round-trip trajectory; Calculate the travel speed of the round-trip records corresponding to the earliest and latest times; Based on the distance between each trajectory point and the known dumping site, determine the starting point of the round-trip record corresponding to the round-trip trajectory.

[0087] In an optional implementation, the determining module 120 is further configured to: Count the total number of records of the first abnormal round trip between the starting point and the known dumping site within each grid. Grids with a total number of records greater than a preset value and whose land use type includes the preset industrial land are identified as the source locations.

[0088] In an optional implementation, the acquisition module 110 is specifically used for: Obtain the geographical location of the known dumping site, and use the area within a preset range of the geographical location as the first target area; The base station covering the first target area is identified as the target base station; Obtain the first mobile signaling data from the target base station.

[0089] In an optional implementation, the acquisition module 110 is further configured to: acquire second mobile phone signaling data related to a second target area within a preset range of the source location within a preset time period; The determination module 120 is also used to: determine, based on the second mobile phone signaling data, all arrival points from the source location to the target area and the second abnormal round-trip records between the source location and each arrival point; The aggregation module 130 is also used to: aggregate all arrival points into at least one grid according to the geographical location of each arrival point; The determination module 120 is also used to: determine the dumping site of the new illegal dumping behavior based on the second abnormal round-trip record in each grid and the land use type of each grid.

[0090] This invention also provides a block diagram of an electronic device 10, which implements the illegal dumping identification method described in the foregoing embodiments. Please refer to... Figure 9 , Figure 9 This is a block diagram of the electronic device 10 provided in this embodiment. The electronic device 10 includes a processor 11, a memory 12 and a bus 13. The processor 11 and the memory 12 are connected through the bus 13.

[0091] The processor 11 can be an integrated circuit chip with signal processing capabilities. In implementation, each step of the illegal dumping identification method described above can be completed by the integrated logic circuitry in the hardware of the processor 11 or by software instructions. The processor 11 can be a general-purpose processor, including a CPU (Central Processing Unit), NP (Network Processor), GPU (Graphics Processing Unit), etc.; it can also be a DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Logic Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0092] The memory 12 is used to store the program for implementing the method of identifying illegal dumping sites. The program may be a software function module stored in the memory 12 in the form of software or firmware or embedded in the OS (Operating System) of the electronic device 10.

[0093] After receiving the execution instruction, the processor 11 executes the program to implement the illegal dumping site identification method of the aforementioned embodiment.

[0094] This embodiment provides a computer storage medium storing a computer program, which, when executed by a processor, implements the illegal dumping identification method described in the above embodiment.

[0095] In summary, the present invention provides a method, apparatus, electronic device, and computer storage medium for identifying illegal dumping sites. The method includes: acquiring first mobile phone signaling data related to a known dumping site during the period in which the illegal dumping occurred; determining all starting points reaching the known dumping site and first abnormal round-trip records between each starting point and the known dumping site based on the first mobile phone signaling data; aggregating all starting points into at least one grid according to the geographical location of each starting point; and determining the source of the illegal dumping based on the first abnormal round-trip records within each grid and the land use type of each grid. Compared with the prior art, this embodiment has at least the following advantages: (1) By integrating information from multiple sources such as the period in which the illegal dumping occurred, the known dumping site, mobile phone signaling data, and land use type, the efficiency and accuracy of identifying illegal dumping are improved.

[0096] The above descriptions are merely various embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for identifying illegal dumping sites, characterized in that, The method includes: Acquire first mobile phone signaling data related to a known dumping site during the period in which the illegal dumping occurred; Based on the first mobile phone signaling data, determine all starting points to the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site; Based on the geographical location of each of the aforementioned starting points, all the aforementioned starting points are aggregated into at least one grid; The source of the illegal dumping is determined based on the first abnormal round-trip record within each grid and the land use type of each grid.

2. The method according to claim 1, characterized in that, The first mobile signaling data includes multiple signaling records sent by multiple users. The step of determining all starting points to the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site based on the first mobile signaling data includes: Obtain the signaling record of each user from the first mobile phone signaling data; Based on the signaling records of each user, determine each first abnormal round-trip record of each user to the known dumping site; The corresponding starting point for reaching the known dumping site is determined from the round-trip trajectory points of each first abnormal round-trip record, and finally all the starting points for all users to reach the known dumping site and the first abnormal round-trip record between each starting point and the known dumping site are obtained.

3. The method according to claim 2, characterized in that, The step of determining each first abnormal round-trip record of each user to the known dumping site based on the signaling record of each user includes: Based on the signaling records of each user, determine each travel trajectory of each user to the known dumping site; For each travel trajectory, a corresponding round-trip record is determined, which includes travel time, travel speed, and travel origin. All round-trip records in which the travel time is within a preset time period, the travel speed is greater than a preset speed, and the origin of the trip is not a preset normal activity location are identified as first abnormal round-trip records, thus obtaining each first abnormal round-trip record for each user to reach the known dumping location.

4. The method according to claim 3, characterized in that, The travel trajectory includes multiple trajectory points, and the step of determining the corresponding round-trip record based on each travel trajectory includes: If the interval between the earliest and latest times in two consecutive travel trajectories does not exceed a preset interval, the two travel trajectories are determined as a round-trip trajectory. For any of the round-trip trajectories, obtain the earliest and latest times among multiple trajectory points of the round-trip trajectory, and determine the earliest time as the travel time of the round-trip record corresponding to the round-trip trajectory; Based on the earliest and latest times, calculate the travel speed of the round-trip records corresponding to the round-trip trajectory; The starting point of the round trip record corresponding to the round trip trajectory is determined based on the distance between each of the plurality of trajectory points and the known dumping site.

5. The method according to claim 1, characterized in that, The step of determining the source of the illegal dumping based on the first abnormal round-trip record within each grid and the land use type of each grid includes: The total number of records of the first abnormal round trip between the starting point and the known dumping site within each grid is counted; The grids whose total number of records is greater than a preset value and whose land use type includes the preset industrial land are identified as the source locations.

6. The method according to claim 1, characterized in that, The step of acquiring first mobile phone signaling data related to the known dumping site during the period in which the illegal dumping occurred includes: Obtain the geographical location of the known dumping site, and designate an area within a preset range of the geographical location as the first target area; The base station covering the first target area is identified as the target base station; The first mobile phone signaling data is obtained from the target base station.

7. The method according to claim 1, characterized in that, The method further includes: Acquire second mobile phone signaling data related to a second target area within a preset range of the source location within a preset time period; Based on the second mobile signaling data, determine all arrival points from the source location to the target area and the second abnormal round-trip record between the source location and each of the arrival points; Based on the geographical location of each arrival point, all arrival points are aggregated into at least one grid. Based on the second abnormal round-trip record within each grid and the land use type of each grid, the dumping site of the new illegal dumping is determined.

8. A device for identifying illegal dumping, characterized in that, The device includes: The acquisition module is used to acquire first mobile phone signaling data related to a known dumping site during the period in which the illegal dumping occurred; The determination module is used to determine, based on the first mobile phone signaling data, all starting points leading to the known dumping site and a first abnormal round-trip record between each starting point and the known dumping site; An aggregation module is used to aggregate all the said starting points into at least one grid according to the geographical location of each said starting point; The determining module is further configured to determine the source of the illegal dumping based on the first abnormal round-trip record within each grid and the land use type of each grid.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory being used to store a program, and the processor being used to implement the method as described in any one of claims 1-7 when executing the program.

10. A computer storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the method as described in any one of claims 1-7.

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