CN112418211B - Dangerous chemical dangerous area identification method, device, equipment and storage medium - Google Patents
Dangerous chemical dangerous area identification method, device, equipment and storage medium Download PDFInfo
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- CN112418211B CN112418211B CN201910782572.2A CN201910782572A CN112418211B CN 112418211 B CN112418211 B CN 112418211B CN 201910782572 A CN201910782572 A CN 201910782572A CN 112418211 B CN112418211 B CN 112418211B
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- 239000000126 substance Substances 0.000 title claims abstract description 147
- 238000000034 method Methods 0.000 title claims abstract description 48
- 239000000383 hazardous chemical Substances 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 6
- 231100001261 hazardous Toxicity 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 231100000481 chemical toxicant Toxicity 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 231100000572 poisoning Toxicity 0.000 description 1
- 230000000607 poisoning effect Effects 0.000 description 1
- 239000003440 toxic substance Substances 0.000 description 1
- 231100000419 toxicity Toxicity 0.000 description 1
- 230000001988 toxicity Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0833—Tracking
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides a method, a device, equipment and a storage medium for identifying dangerous areas of dangerous chemicals. The method comprises the following steps: acquiring a plurality of map grid units of an area to be identified; determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit; determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified; and determining whether the area corresponding to each map grid cell is a dangerous area or not according to the dangerous chemical weight and the crowd weight of each map grid cell. According to the dangerous chemical weight and the crowd weight corresponding to the map grid cells of the area to be identified, whether the area corresponding to each map grid cell is a dangerous area or not can be determined, and data support can be provided for traffic safety supervision.
Description
Technical Field
The invention relates to the technical field of intelligent transportation, in particular to a method, a device, equipment and a storage medium for identifying dangerous areas of dangerous chemicals.
Background
The dangerous chemical is a highly toxic chemical or other chemical which has the properties of poisoning, corrosion, explosion, combustion supporting and the like and is harmful to human bodies, facilities and environment. The dangerous chemical transportation vehicle is a truck for transporting dangerous chemical goods, and the safety problem is always the focus of national and social attention, and is the important issue in traffic safety supervision.
For a long time, safety accidents caused by improper storage and transportation of dangerous goods are endless, so that a method for identifying dangerous areas aiming at dangerous chemicals is needed to be realized for a person skilled in the art.
Disclosure of Invention
The invention provides a dangerous chemical dangerous area identification method, device, equipment and storage medium, so as to realize the identification of dangerous chemical dangerous areas.
In a first aspect, the present invention provides a method for identifying a dangerous area of a hazardous chemical substance, including:
acquiring a plurality of map grid units of an area to be identified;
determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit;
determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified;
and determining whether the area corresponding to each map grid cell is a dangerous area or not according to the dangerous chemical weight and the crowd weight of each map grid cell.
In a second aspect, the present invention provides an identification device for dangerous areas of dangerous chemicals, including:
the acquisition module is used for acquiring a plurality of map grid cells of the area to be identified;
the first determining module is used for determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit;
the second determining module is used for determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified;
and the processing module is used for determining whether the area corresponding to each map grid unit is a dangerous area according to the dangerous chemical weight and the crowd weight of each map grid unit.
In a third aspect, embodiments of the present invention provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method of any of the first aspects.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of the first aspects via execution of the executable instructions.
The method, the device, the equipment and the storage medium for identifying the dangerous areas of the dangerous chemicals provided by the embodiment of the invention acquire a plurality of map grid cells of the areas to be identified; determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit; determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified; according to the dangerous chemical weights and the crowd weights of the map grid cells, whether the areas corresponding to the map grid cells are dangerous areas or not is determined, and according to the dangerous chemical weights and the crowd weights corresponding to the map grid cells of the area to be identified, whether the areas corresponding to the map grid cells are dangerous areas or not can be determined, so that data support can be provided for traffic safety supervision.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a schematic flow chart of an embodiment of a method for identifying dangerous areas of hazardous chemicals;
FIG. 2 is a schematic diagram of a map grid cell according to one embodiment of the method provided by the present invention;
FIG. 3 is a schematic structural diagram of an embodiment of a dangerous area identification device provided by the present invention;
fig. 4 is a schematic structural diagram of an embodiment of an electronic device provided by the present invention.
Specific embodiments of the present disclosure have been shown by way of the above drawings and will be described in more detail below. These drawings and the written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the disclosed concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.
The terms "comprising" and "having" and any variations thereof in the description and claims of the invention and in the drawings are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Firstly, the nouns and application scenes related to the invention are introduced:
the map grid unit refers to a grid area which divides a drawing area according to plane coordinates or longitude and latitude.
The dangerous chemical weight represents the number of dangerous chemical transportation vehicles corresponding to each map grid unit, and the more the dangerous chemical transportation vehicles corresponding to the map grid units are, the greater the dangerous chemical weight is. The dangerous chemical transport vehicle corresponding to the map grid unit refers to the dangerous chemical transport vehicle running track passing through the area corresponding to the map grid unit or the dangerous chemical transport vehicle is parked in the area corresponding to the map grid unit.
The distribution data of the crowd refers to the distribution data of the crowd in the map grid cells, and the distribution data comprises thermal values corresponding to the map grid cells.
The thermal value is used for representing the quantity of people in the corresponding area of the map grid unit.
Crowd weight, which indicates the number of crowds in the corresponding area of each map grid unit, and the larger the number is, the larger the crowd weight is.
The identification method of the dangerous areas of the dangerous chemicals, provided by the embodiment of the invention, is applied to dangerous chemicals safety supervision scenes, such as scenes of identification of dangerous areas where the dangerous chemicals are located, so as to improve the safety of urban management and provide data support for traffic safety supervision.
Compared with the nature of dangerous chemicals such as inflammable and explosive degree, toxicity degree and the like, the distance between the dangerous chemicals and the dangerous chemicals is a factor which can threaten the life and property safety of the dangerous chemicals. Therefore, the method of the embodiment of the invention determines whether the area corresponding to the map grid unit is a dangerous area or not by determining the dangerous chemical weights and the crowd weights of different map grid units, and provides decision-directed data support for urban traffic safety supervision.
The method provided by the invention can be realized by the electronic equipment such as a processor executing corresponding software codes, or can be realized by the electronic equipment through data interaction with a server when executing corresponding software codes, for example, the server executes partial operation to control the electronic equipment to execute the identification method.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
FIG. 1 is a schematic flow chart of an embodiment of a method for identifying dangerous areas of dangerous chemicals. As shown in fig. 1, the method provided in this embodiment includes:
step 101, acquiring a plurality of map grid cells of an area to be identified.
The step 101 may be specifically implemented as follows:
determining the latitude and longitude range of the area to be identified;
dividing the area to be identified into a plurality of subareas according to the latitude and longitude range of the area to be identified and the preset latitude and longitude intervals, wherein the subareas are in one-to-one correspondence with the map grid units.
Specifically, a map of an area to be identified is divided into a plurality of map grid cells. For example, the latitude and longitude range of the area to be identified is selected, the latitude and longitude intervals are set, and then the map of the area to be identified is divided into a plurality of map grid cells, as shown in fig. 2, I rows and J columns are divided in fig. 2, so as to form i×j map grid cells. The map grid cells may be identified as follows: the number + coordinates, for example, the lower left corner indicates the map grid cell with the number 1 and the coordinates (1, 1), the number J +1 of the 2 nd row from bottom to top, and the coordinates (2, 1), indicate the map grid cell of the 2 nd row and the 1 st column. In other embodiments of the present invention, the map grid cells may also be identified using separate serial numbers or coordinates, as the invention is not limited in this regard.
Step 102, determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of the dangerous chemical transportation vehicles corresponding to each map grid unit.
Specifically, the dangerous chemical weight can be determined according to the running track of the dangerous chemical transport vehicle, specifically, the map grid unit corresponding to the area where the dangerous chemical transport vehicle passes can be determined according to the running track, and further, the dangerous chemical weight of each map grid unit is determined according to the map grid units corresponding to the areas where the plurality of dangerous chemical transport vehicles pass, wherein the more the area where the map grid unit corresponds passes, the greater the dangerous chemical weight of the map grid unit. For example, for one map grid cell, the number of hazardous chemical transport vehicles passing through the region corresponding to the map grid cell may be used as the hazardous chemical weight of the map grid cell.
The method comprises the steps of obtaining longitude and latitude coordinates of a dangerous chemical transport vehicle in a running track according to positioning data (such as GPS positioning data) of the dangerous chemical transport vehicle, and further obtaining a map grid unit corresponding to an area where the dangerous chemical transport vehicle passes.
Step 103, determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified.
Specifically, the crowd weight may be determined by the distribution data of the crowd in the area to be identified, where the distribution data may include, for example: the thermal value corresponding to the map grid unit and the timestamp corresponding to the thermal value. Wherein the thermal value represents the number of people in a certain area. The thermal value corresponding to the map grid cell is the thermal value of the region corresponding to the map grid cell, and the time stamp represents the time corresponding to the calculation of the thermal value. That is, the crowd weight of each map grid cell is determined, and the thermal value of the corresponding area of the map grid cell can be determined first.
For example, an average value of thermal values of the corresponding area of the map grid cell may be counted as the crowd weight of the map grid cell during a period of time.
Step 104, determining whether the area corresponding to each map grid cell is a dangerous area according to the dangerous chemical weight and the crowd weight of each map grid cell.
Specifically, whether an area is a dangerous area depends on whether a large number of people and too many dangerous chemicals are contained in the area at the same time, i.e. whether the area corresponding to the map grid unit is a dangerous area or not can be determined according to the dangerous chemicals weight and the crowd weight of the map grid unit, for example, the dangerous chemicals weight and the crowd weight of the map grid unit are both large.
The method of the embodiment comprises the steps of obtaining a plurality of map grid cells of an area to be identified; determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit; determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified; according to the dangerous chemical weights and the crowd weights of the map grid cells, whether the areas corresponding to the map grid cells are dangerous areas or not is determined, and according to the dangerous chemical weights and the crowd weights corresponding to the map grid cells of the area to be identified, whether the areas corresponding to the map grid cells are dangerous areas or not can be determined, so that data support can be provided for traffic safety supervision.
Further, the following operations may be performed before step 102 on the basis of the above embodiment:
and determining the running track of the dangerous chemical transport vehicle in the area to be identified according to the positioning data of the dangerous chemical transport vehicle.
Specifically, for each dangerous chemical transport vehicle, according to a preset time period, the longitude and latitude coordinates of the dangerous chemical transport vehicle are obtained according to GPS positioning data of the dangerous chemical transport vehicle, and the running track in the time period is determined according to the longitude and latitude coordinates.
Further, the crowd weight and the hazardous chemical weight of different map grid cells may be different in the same time period, and the crowd weight and the hazardous chemical weight of the same map grid cell in different time periods may be different, for example, the crowd weight and the hazardous chemical weight of a certain map grid cell from nine to ten in the morning and nine to ten in the evening may be different in different preset time periods.
In the embodiment of the invention, the positioning data of the dangerous chemical transportation vehicle and the distribution data of the crowd are divided according to time periods, for example, each day is divided according to time periods, and one time period represents a period of time, such as 1 hour or 30 minutes. The above data is assumed to include data for M days, divided into N time periods per day. M and N are integers greater than 0.
For any preset time period, the preset time period is, for example, an nth preset time period (one hour or 30 minutes, etc.) on the mth day, where the value range of M is an integer greater than 0 and less than M, the value range of N is an integer greater than 0 and less than N, and step 102 may be specifically implemented by:
determining a map grid unit corresponding to an area through which the moving track passes according to the moving track of the dangerous chemical transport vehicle in the preset time period;
and determining the dangerous chemical weight of each map grid cell in the preset time period according to the map grid cell corresponding to the area through which the running track passes.
Specifically, first, determining a map grid cell corresponding to an area where a moving track passes in a preset time period, and further determining the dangerous chemical weight of each map grid cell in the preset time period, for example, adding 1 to the dangerous chemical weight of each map grid cell when a dangerous chemical transport vehicle passes through one map grid cell.
According to the running track of the dangerous chemical transport vehicle in the preset time period, determining a map grid unit corresponding to an area where the running track passes, wherein the map grid unit can be realized in the following manner:
and taking the map grid cell corresponding to the area on the shortest path in the running track of the dangerous chemical transport vehicle in the preset time period as the map grid cell corresponding to the area where the running track passes.
Specifically, for each dangerous chemical transport vehicle, if the map grid cell serial number l corresponding to the area where the dangerous chemical transport vehicle is located is obtained according to the GPS positioning data at the time t t Map grid cell serial number l corresponding to dangerous chemical transport vehicle region obtained according to GPS positioning data at time t+1 t+1 . If l t And l t+1 Is a spatially adjacent map grid cell or the same map grid cell, the map grid cell corresponding to the region passed by the hazardous chemical transport vehicle in the (t, t+1) time period is l t And l t+1 The method comprises the steps of carrying out a first treatment on the surface of the Otherwise, the hazardous chemical transport vehicle passes through the area within the (t, t+1) preset time periodThe corresponding map grid cell is from l t To l t+1 A map grid cell on the shortest path of (a).
On the basis of the above embodiment, further, step 103 may be specifically implemented by the following manner:
determining an average value of the thermal values corresponding to each map grid unit in the preset time period according to the distribution data of the crowd; the distribution data comprise thermal values corresponding to the map grid cells and time stamps corresponding to the thermal values;
and taking the average value of the thermal values corresponding to the map grid cells in the preset time period as the crowd weight of the map grid cells in the preset time period.
Specifically, the crowd weight may be determined by the distribution data of the crowd in the area to be identified, where the distribution data may include, for example: the thermal value corresponding to each map grid cell, and the timestamp corresponding to the thermal value. Wherein the thermal value represents the number of people in a certain area. The thermal value corresponding to the map grid cell represents the thermal value of the region corresponding to the map grid cell, and the time stamp represents the time corresponding to the calculation of the thermal value. That is, the crowd weight of each map grid cell is determined, and the thermal value of the area corresponding to the map grid cell can be determined first.
For example, an average value of thermal values of the area corresponding to the map grid unit in the preset time period can be counted and used as the crowd weight of the map grid unit in the preset time period.
In this embodiment, a map grid unit corresponding to an area through which the moving track passes can be determined according to the moving track of the dangerous chemical transport vehicle in the preset time period; determining dangerous chemical weights of the map grid cells in the preset time period according to the map grid cells corresponding to the area where the running track passes, determining an average value of thermodynamic values corresponding to the map grid cells in the preset time period according to distribution data of people, and taking the average value of thermodynamic values corresponding to the map grid cells in the preset time period as the crowd weight of the map grid cells in the preset time period; further, according to the dangerous chemical weights and the crowd weights corresponding to the map grid cells of the region to be identified, whether the region corresponding to each map grid cell is a dangerous region or not can be determined, and data support can be provided for traffic safety supervision.
Based on the above embodiment, further, step 104 may be specifically implemented in the following ways:
one implementation:
taking the product of the dangerous chemical weights of the map grid cells in the preset time period and the crowd weights as the dangerous score of the map grid cells in the preset time period;
and determining whether the area corresponding to each map grid unit in the preset time period is a dangerous area according to the risk score of each map grid unit in the preset time period and a preset threshold value.
Specifically, according to the dangerous chemical weight and the crowd weight of the map grid unit in the preset time period, the dangerous score of the map grid unit in the preset time period is calculated, for example, the product of the dangerous chemical weight and the crowd weight is used as the dangerous score of the map grid unit. And if the risk score is larger than a preset threshold value, determining that the region corresponding to the map grid unit in the preset time period is a risk region. The preset threshold value can take a checked value, and is generally higher than the risk score of more than 90% of map grid cells.
In order to overcome the influence possibly caused by different orders of the dangerous chemical weight and the crowd weight when calculating the dangerous chemical weight of the map grid unit, in the embodiment of the invention, the dangerous chemical weight and the crowd weight are normalized, namely, the step of taking the product of the dangerous chemical weight and the crowd weight of each map grid unit in a preset time period as the dangerous chemical weight of each map grid unit in the preset time period can be realized by the following specific steps:
respectively carrying out normalization processing on the dangerous chemical weights of the map grid units and the crowd weights within a preset time period;
and taking the product of the normalized dangerous chemical weight and the crowd weight of each map grid unit in a preset time period as the dangerous score of each map grid unit in the preset time period.
Specifically, the dangerous chemical weight and the crowd weight are normalized to [0,1 ] through dispersion normalization]Interval, normalized riskThe score calculation formula is as follows:
wherein d min Representing the minimum value of the dangerous chemical weight in each map grid cell, d max Representing the maximum value of the dangerous chemical weight in each map grid cell; c min Representing the minimum value of the people group weights in each map grid cell, c max Representing the maximum of the crowd weights in each map grid cell.A risk score representing a map grid cell of an ith row and a jth column within an nth preset time period on an mth day; />Map grid cell z representing ith row and jth column within mth preset time period ij Is a dangerous chemical weight of->Map grid cell z representing ith row and jth column within mth preset time period ij Wherein, the value range of M is an integer greater than 0 and less than M, the value range of N is an integer greater than 0 and less than N, and M and N are integers greater than 0; i ranges from 1 to I, J ranges from 1 to J, I andj is an integer greater than 0.
Another implementation:
if the dangerous chemical weight of each map grid unit in the preset time period is greater than a first weight threshold value and the crowd weight of each map grid unit in the preset time period is greater than a second weight threshold value, determining that the area corresponding to each map grid unit in the preset time period is a dangerous area.
Specifically, the dangerous chemical weight and the crowd weight of each map grid unit in a preset time period can be respectively compared with a preset threshold, and if the dangerous chemical weight of the map grid unit is greater than a first weight threshold and the crowd weight of the map grid unit is greater than a second weight threshold, the region corresponding to the map grid unit in the preset time period is determined to be a dangerous region.
On the basis of the above embodiment, further, in order to improve accuracy of identifying a dangerous area and avoid misidentification of the dangerous area, determining an area corresponding to a map grid unit as the dangerous area in the embodiment of the present invention includes:
and if the map grid unit is determined to be the dangerous area in a plurality of preset time periods within the preset time length range, wherein the number of times of determining the dangerous area is larger than the preset number of times, determining the map grid unit to be the dangerous area in the preset time period.
Specifically, by identifying the dangerous area, it can be known whether the area corresponding to the map grid unit in a certain preset time period is a dangerous area, that is, whether the area corresponding to the map grid unit is in a dangerous state in a certain preset time period, but there may be accidental factors, that is, the area corresponding to the map grid unit in other same preset time periods may not be a dangerous area. For example, the region corresponding to a certain map grid unit from nine am to ten am in 2 months 15 a.m. is determined as a dangerous region, and the region corresponding to the map grid unit from nine am to ten am in 16 a.m. to 28 a.m. is determined as a non-dangerous region, which means that the region corresponding to the map grid unit is not a dangerous region in the time period from nine am to ten a.m.. I.e. a region corresponding to a map grid cellWhether a domain is a dangerous area should be frequent in time and should not happen accidentally, i.e. the area corresponding to the map grid cell is determined to be a dangerous area more often within a certain preset time period within a certain duration range (e.g. a time period from nine to ten am in a week). Assuming that data for M days is observed, a threshold δ (i.e., a preset number of times) is set. For map grid cell z ij More than delta times in M days, and in the kth preset time period (for example, the duration of the preset time period is 1 hour, and one day is divided into 24 preset time periods), the area corresponding to the map grid unit is a dangerous area, and the map grid unit z is considered as ij The corresponding region is a dangerous region within the kth preset time period.
In this embodiment, according to the dangerous chemical weights and the crowd weights corresponding to the multiple map grid cells of the region to be identified, it may be determined whether the region corresponding to each map grid cell is a dangerous region, and when determining that the region corresponding to a certain map grid cell is a dangerous region, it is necessary to determine that the accuracy of identifying the dangerous region is higher according to the data in multiple preset time periods, so that data support can be provided for traffic safety supervision.
Fig. 3 is a schematic structural diagram of an embodiment of a dangerous area identification device for dangerous chemicals, as shown in fig. 3, where the dangerous area identification device for dangerous chemicals in this embodiment includes:
an acquiring module 301, configured to acquire a plurality of map grid cells of an area to be identified;
the first determining module 302 is configured to determine a dangerous chemical weight of each map grid unit according to a running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit;
a second determining module 303, configured to determine a crowd weight of each map grid unit according to the distribution data of the crowd in the area to be identified;
and the processing module 304 is configured to determine whether the area corresponding to each map grid cell is a dangerous area according to the dangerous chemical weight and the crowd weight of each map grid cell.
As a possible implementation manner, the acquiring module 301 is specifically configured to:
determining the latitude and longitude range of the area to be identified;
dividing the area to be identified into a plurality of subareas according to the latitude and longitude range of the area to be identified and the preset latitude and longitude intervals, wherein the subareas are in one-to-one correspondence with the map grid units.
As a possible implementation manner, the first determining module 302 is specifically configured to:
determining a map grid unit corresponding to an area through which the moving track passes according to the moving track of the dangerous chemical transport vehicle in the preset time period;
and determining the dangerous chemical weight of each map grid cell in the preset time period according to the map grid cell corresponding to the area through which the running track passes.
As a possible implementation manner, the first determining module 302 is specifically configured to:
and taking the map grid cell corresponding to the area on the shortest path in the running track of the dangerous chemical transport vehicle in the preset time period as the map grid cell corresponding to the area where the running track passes.
As a possible implementation manner, the first determining module 302 is further configured to:
and determining the running track of the dangerous chemical transport vehicle in the area to be identified according to the positioning data of the dangerous chemical transport vehicle.
As a possible implementation manner, the second determining module 303 is specifically configured to:
determining an average value of the thermal values corresponding to each map grid unit in the preset time period according to the distribution data of the crowd; the distribution data comprise thermal values corresponding to the map grid cells and time stamps corresponding to the thermal values;
and taking the average value of the thermal values corresponding to the map grid cells in the preset time period as the crowd weight of the map grid cells in the preset time period.
As a possible implementation manner, the processing module 304 is specifically configured to:
taking the product of the dangerous chemical weight and the crowd weight of each map grid unit in the preset time period as the dangerous score of each map grid unit in the preset time period;
and determining whether the area corresponding to each map grid unit in the preset time period is a dangerous area according to the risk score of each map grid unit in the preset time period and a preset threshold value.
As a possible implementation manner, the processing module 304 is specifically configured to:
and if the dangerous chemical weight of each map grid unit in the preset time period is greater than a first weight threshold and the crowd weight of each map grid unit in the preset time period is greater than a second weight threshold, determining that the area corresponding to each map grid unit in the preset time period is a dangerous area.
As a possible implementation manner, the processing module 304 is specifically configured to:
and if the map grid unit is determined to be the dangerous area in a plurality of preset time periods within the preset time length range, wherein the number of times of determining the dangerous area is larger than the preset number of times, determining the map grid unit to be the dangerous area in the preset time period.
As a possible implementation manner, the processing module 304 is specifically configured to:
respectively carrying out normalization processing on the dangerous chemical weights of the map grid units and the crowd weights within the preset time period;
and taking the product of the normalized dangerous chemical weight and the crowd weight of each map grid unit in the preset time period as the dangerous score of each map grid unit in the preset time period.
The device of the present embodiment may be used to execute the technical solution of the foregoing method embodiment, and its implementation principle and technical effects are similar, and are not described herein again.
Fig. 4 is a block diagram of an embodiment of an electronic device according to the present invention, as shown in fig. 4, where the electronic device includes:
a processor 401, and a memory 402 for storing executable instructions of the processor 401.
Optionally, the method may further include: a communication interface 403 for communicating with other devices.
The components may communicate via one or more buses.
The processor 401 is configured to execute the corresponding method in any of the foregoing method embodiments by executing the executable instructions, and the specific implementation process may refer to the foregoing method embodiments, which are not repeated herein.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, where the computer program when executed by a processor implements a method corresponding to any of the foregoing method embodiments, and a specific implementation process of the computer program may refer to the foregoing method embodiments, and its implementation principle and technical effect are similar, and are not repeated herein.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (11)
1. The method for identifying the dangerous areas of the dangerous chemicals is characterized by comprising the following steps of:
acquiring a plurality of map grid units of an area to be identified;
determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit;
determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified;
and determining whether the area corresponding to each map grid cell is a dangerous area or not according to the dangerous chemical weight and the crowd weight of each map grid cell.
2. The method of claim 1, wherein the acquiring a plurality of map grid cells for the area to be identified comprises:
determining the latitude and longitude range of the area to be identified;
dividing the area to be identified into a plurality of subareas according to the latitude and longitude range of the area to be identified and the preset latitude and longitude intervals, wherein the subareas are in one-to-one correspondence with the map grid units.
3. The method according to claim 1 or 2, wherein determining the hazard weight of each map grid cell according to the trajectory of the hazard transport vehicle in the region to be identified comprises:
determining a map grid unit corresponding to an area through which the moving track passes according to the moving track of the dangerous chemical transport vehicle in a preset time period;
and determining the dangerous chemical weight of each map grid cell in the preset time period according to the map grid cell corresponding to the area through which the running track passes.
4. The method of claim 3, wherein the determining, according to the running track of the hazardous chemical transport vehicle in the preset time period, a map grid cell corresponding to an area through which the running track passes, includes:
and taking the map grid cell corresponding to the area on the shortest path in the running track of the dangerous chemical transport vehicle in the preset time period as the map grid cell corresponding to the area where the running track passes.
5. The method according to claim 1 or 2, wherein said determining the crowd weight of each of said map grid cells from the distribution data of the crowd in said area to be identified comprises:
determining an average value of the thermal values corresponding to each map grid unit in a preset time period according to the distribution data of the crowd; the distribution data comprise thermal values corresponding to the map grid cells and time stamps corresponding to the thermal values;
and taking the average value of the thermal values corresponding to the map grid cells in the preset time period as the crowd weight of the map grid cells in the preset time period.
6. The method according to claim 1 or 2, wherein determining whether the area corresponding to each map grid cell is a dangerous area according to the dangerous chemical weight and the crowd weight of each map grid cell comprises:
taking the product of the dangerous chemical weight and the crowd weight of each map grid unit in a preset time period as the dangerous score of each map grid unit in the preset time period;
and determining whether the area corresponding to each map grid unit in the preset time period is a dangerous area according to the risk score of each map grid unit in the preset time period and a preset threshold value.
7. The method according to claim 1 or 2, wherein determining whether the area corresponding to each map grid cell is a dangerous area according to the dangerous chemical weight and the crowd weight of each map grid cell comprises:
if the dangerous chemical weight of each map grid unit in the preset time period is greater than a first weight threshold value, and the crowd weight of each map grid unit in the preset time period is greater than a second weight threshold value, determining that the area corresponding to each map grid unit in the preset time period is a dangerous area.
8. The method of claim 1 or 2, wherein determining whether the area corresponding to each map grid cell is a hazardous area comprises:
and if the map grid unit is determined to be the dangerous area in a plurality of preset time periods within the preset time length range, wherein the number of times of determining the dangerous area is larger than the preset number of times, determining the map grid unit to be the dangerous area in the preset time period.
9. An identification device for dangerous areas of dangerous chemicals, which is characterized by comprising:
the acquisition module is used for acquiring a plurality of map grid cells of the area to be identified;
the first determining module is used for determining the dangerous chemical weight of each map grid unit according to the running track of the dangerous chemical transport vehicle in the area to be identified; the dangerous chemical weight is used for representing the quantity of dangerous chemical transportation vehicles corresponding to each map grid unit;
the second determining module is used for determining the crowd weight of each map grid unit according to the crowd distribution data in the area to be identified;
and the processing module is used for determining whether the area corresponding to each map grid unit is a dangerous area according to the dangerous chemical weight and the crowd weight of each map grid unit.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1-8.
11. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-8 via execution of the executable instructions.
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