Electronic fence system for park safety management based on Internet of Things

Abstract

The invention relates to an electronic fence system for park safety management based on the Internet of Things. A park covers the Internet of Things. The Internet of Things is composed of a plurality of loop inductors, a plurality of roadside sensors, a plurality of image collectors, a plurality of electronic tags and a plurality of bayonet terminals. The roadside sensors are installed at a park bayonet and a park roadside. The loop inductor is installed under the road ground corresponding to the roadside sensor. The electronic fence system comprises a plurality of electronic fences and a management device. The number of the electronic fences is the number of buildings in the park; the image collectors are installed beside the roadside sensors, at park checkpoints, at intersections and in electronic fences. Electronic fence information is stored in the management equipment; the electronic fence information comprises an identifier of each electronic fence and a coverage range of the electronic fence; the management equipment establishes communication connection with the Internet of Things; and the management equipment is used for acquiring data in the Internet of Things, and performing park safety management according to the data and the electronic fence information, thereby realizing safety management of the park with the chemical enterprise.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to an electronic fence system for park safety management based on the Internet of Things. Background Art

[0002] A park refers to an area designated by the government under centralized and unified planning, where a specific industry or type of enterprise or company is set up and managed in a unified manner.

[0003] At present, it is a major trend for chemical companies to concentrate in the park. Most of the chemical companies are involved in hazardous chemicals. Hazardous chemicals are flammable, explosive, toxic and harmful. They may cause safety accidents at any time, causing major impacts on the entire park and internal companies.

[0004] Therefore, safety management of industrial parks where chemical companies exist is particularly important. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In order to solve the above problems, the present invention provides an electronic fence system for park security management based on the Internet of Things.

[0007] (II) Technical solution

[0008] In order to achieve the above object, the main technical solutions adopted by the present invention include:

[0009] An electronic fence system for park security management based on the Internet of Things, the park is covered by the Internet of Things;

[0010] The Internet of Things consists of multiple loop sensors, multiple roadside sensors, multiple image collectors, multiple electronic tags, and multiple card-entry terminals;

[0011] Roadside sensors are installed at the park checkpoints and beside the park roads; loop sensors are installed under the road surface corresponding to the roadside sensors;

[0012] The electronic fence system includes multiple electronic fences and a management device;

[0013] The number of electronic fences is the number of buildings in the park; each electronic fence area covers a building area in the park, and each electronic fence covers different buildings. The identification of each other electronic fence is the identification of the building it covers;

[0014] Image collectors are installed next to roadside sensors, at park checkpoints, intersections, and within electronic fences;

[0015] The management device stores electronic fence information; the electronic fence information includes the identification of each electronic fence and the range it covers;

[0016] Management equipment establishes communication connection with the Internet of Things;

[0017] The management device is used to obtain data from the Internet of Things and perform park security management based on the data and electronic fence information.

[0018] Optionally, when a vehicle enters the park, an image collector located at the park checkpoint collects a first face image of the vehicle's cab; after the park checkpoint administrator assigns an electronic tag to the vehicle, the electronic tag is placed inside the vehicle; and the checkpoint terminal establishes a corresponding relationship between the vehicle and the electronic tag;

[0019] Whenever the loop sensor senses the presence of a vehicle on the road, the roadside sensor sends an inquiry signal to the vehicle. The electronic tag inside the vehicle feeds back the electronic tag identification based on the inquiry signal. At the same time, the image collector next to the roadside sensor collects a second facial image in the vehicle cab.

[0020] Optionally, the park security management is performed based on the data and the electronic fence information, including:

[0021] After obtaining the correspondence between the vehicle and the electronic tag established by the checkpoint terminal, the vehicle is determined as the target vehicle, and the electronic tag corresponding to the target vehicle is determined as the target electronic tag;

[0022] Acquire a first face image of a target vehicle;

[0023] Determine the collection time of the target electronic tag identification and the collected roadside sensor identification from all electronic tag identifications collected by the roadside sensor;

[0024] Determine the second face image collected by the image collector next to the road sign sensor according to the collected road sign sensor identification;

[0025] A target vehicle trajectory set is formed; wherein each element in the target vehicle trajectory set is a triplet <target electronic identification collection time, collected roadside sensor identification, and second face image collected by the image collector next to it>, and the elements in the target vehicle trajectory set are sorted from far to near according to the target electronic identification collection time;

[0026] The target vehicle is managed according to the target vehicle trajectory set, the first face image and the electronic fence information.

[0027] Optionally, managing the target vehicle according to the target vehicle trajectory set, the first face image, and the electronic fence information includes:

[0028] comparing each second facial image with the first facial image to see if they are similar;

[0029] If there is a dissimilar second face image, the dissimilar second face image is determined as the image to be processed, the target electronic identification acquisition time in the triplet in which the dissimilar second face image is located is determined as the time to be processed, and the collected roadside sensor identification in the triplet in which the dissimilar second face image is located is determined as the roadside sensor identification to be processed;

[0030] Determine the time difference Δt1 between the time to be processed and the initial time; wherein the initial time is the target electronic identification collection time of the first element in the target vehicle trajectory set;

[0031] Determine the second position of the target vehicle according to the roadside sensor identifier to be processed, and determine the travel distance Δd between the second position and the first position; wherein the first position is the position determined according to the roadside sensor identifier collected for the first element in the target vehicle trajectory set;

[0032] like or, Then an abnormal warning is issued for the target vehicle; among them, v max is the maximum speed of the target vehicle, max{·} is the maximum value function, v0 is the standard speed of the target vehicle, and dn is the danger level of the target vehicle;

[0033] like The target vehicle is managed according to the relationship between the second position and the electronic fence.

[0034] Optionally, the steps for determining dn are:

[0035] Determine whether the target vehicle is loaded with hazardous chemicals;

[0036] If dangerous chemicals are loaded, the name and loading quantity of the dangerous chemicals shall be determined L1;

[0037] Determine the hazardous properties according to the name of the hazardous chemicals loaded; the hazardous properties include: health hazard level, flammability level, chemical reactivity level, and environmental sensitivity;

[0038] Among all the historical and current vehicles entering the park, the number of other vehicles n1 whose similarity with dangerous attributes is greater than the preset threshold;

[0039] Sure Among them, S1 is the environmental sensitivity, n2 is the number of all historical and current vehicles entering the park, g1 is the health hazard level, g2 is the flammability level, g3 is the chemical reaction activity level, and g max It is the standard maximum value among the health hazard level, flammability level, and chemical reactivity level. L2 is the maximum load of the vehicle.

[0040] Optionally, after determining whether the target vehicle is loaded with hazardous chemicals, the method further includes:

[0041] If no hazardous chemicals are loaded, determine the distance between the current vehicle entering the park and the target vehicle;

[0042] Sort the distances from small to large to get the first sequence;

[0043] The median distance is determined as the median distance in the first sequence;

[0044] Determine the number n3 of hazardous chemicals loaded in each current vehicle whose distance is less than or equal to the median distance;

[0045] Sure Among them, n4 is the current total number of vehicles entering the park.

[0046] Optionally, managing the target vehicle according to the relationship between the second location and the electronic fence includes:

[0047] If the second position is located within the electronic fence, the electronic fence where the second position is located is determined as the electronic fence to be processed, and the electronic fence information of the electronic fence to be processed is determined as the electronic fence information to be processed;

[0048] According to the identifier of the electronic fence in the electronic fence information to be processed, the image to be processed collected by the image collector in the electronic fence is obtained;

[0049] Determine the number n5 of vehicles included in the image to be processed;

[0050] like Then an abnormal warning is issued for the target vehicle; where n6 is the total number of vehicles carrying hazardous chemicals that have appeared in the history within the range covered by the electronic fence information to be processed, n7 is the total number of vehicles that have appeared in the history within the range covered by the electronic fence information to be processed, and r max The maximum proportion of historical vehicles within the electronic fence to be processed.

[0051] Optionally, the management device is further used for:

[0052] If the second position is not located within the electronic fence, or there is no dissimilar second face image, then determining the time difference Δt2 between the target electronic identification acquisition time of the last element in the target vehicle trajectory set and the current time;

[0053] If Δt2>t max , then determine the corresponding third position according to the roadside sensor identification collected by the last element in the target vehicle trajectory set; manage the target vehicle according to the third position; where t max The preset duration.

[0054] Optionally, managing the target vehicle according to the third position includes:

[0055] If the third position is located within the electronic fence, then when the target electronic fence of the target vehicle is not the electronic fence where the third position is located, an abnormal warning is issued for the target vehicle.

[0056] Optionally, managing the target vehicle according to the third position includes:

[0057] If the third position is not within the electronic fence, the electronic fence closest to the third position is determined; when the nearest electronic fence is not the target electronic fence of the target vehicle, and the distance between the target position of the target vehicle and the third position is greater than the preset distance deviation, an abnormal warning is issued for the target vehicle.

[0058] (III) Beneficial effects

[0059] The invention relates to an electronic fence system for park safety management based on the Internet of Things. The park covers the Internet of Things; the Internet of Things consists of a plurality of loop sensors, a plurality of roadside sensors, a plurality of image collectors, a plurality of electronic tags, and a plurality of checkpoint terminals; the roadside sensors are installed at the checkpoints of the park and beside the roads of the park; the loop sensors are installed under the ground of the road corresponding to the roadside sensors; the electronic fence system comprises a plurality of electronic fences and a management device; the number of electronic fences is the number of buildings in the park; the image collectors are installed beside the roadside sensors, at the checkpoints of the park, at intersections and in the electronic fences; the management device stores electronic fence information; the electronic fence information comprises the identification of each electronic fence and the range covered by the electronic fence; the management device establishes a communication connection with the Internet of Things; the management device is used to obtain data in the Internet of Things, and performs park safety management according to the data and the electronic fence information, thereby realizing park safety management for chemical enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A schematic diagram of the implementation process of a management device of an electronic fence system for campus security management based on the Internet of Things is provided in one embodiment of the present application. DETAILED DESCRIPTION

[0061] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation modes in conjunction with the accompanying drawings.

[0062] At present, the concentration of chemical enterprises in the park is a major trend. Most chemical enterprises are involved in hazardous chemicals. Hazardous chemicals are flammable, explosive, toxic and harmful. They may cause safety accidents at any time and have a major impact on the entire park and internal enterprises. Therefore, the safety management of the park where chemical enterprises exist is particularly important.

[0063] To this end, the present invention relates to an electronic fence system for park safety management based on the Internet of Things, wherein the park covers the Internet of Things; the Internet of Things consists of a plurality of loop sensors, a plurality of roadside sensors, a plurality of image collectors, a plurality of electronic tags, and a plurality of checkpoint terminals; the roadside sensors are installed at the checkpoints of the park and beside the roads of the park; the loop sensors are installed under the ground of the road corresponding to the roadside sensors; the electronic fence system comprises a plurality of electronic fences and a management device; the number of electronic fences is the number of buildings in the park; the image collectors are installed beside the roadside sensors, at the checkpoints of the park, at the intersections and in the electronic fences; the management device stores electronic fence information; the electronic fence information comprises the identification of each electronic fence and the range covered by the electronic fence; the management device establishes a communication connection with the Internet of Things; the management device is used to obtain data in the Internet of Things, and performs park safety management according to the data and the electronic fence information, thereby realizing park safety management for chemical enterprises.

[0064] This embodiment provides an electronic fence system for campus security management based on the Internet of Things, and the campus security management performed by the system covers the Internet of Things.

[0065] Among them, the Internet of Things consists of multiple loop sensors, multiple roadside sensors, multiple image collectors, multiple electronic tags, and multiple checkpoint terminals.

[0066] 1. Loop sensors and roadside sensors

[0067] There is a one-to-one correspondence between the loop sensors and the roadside sensors, that is, there is a roadside sensor next to each loop sensor.

[0068] Among them, roadside sensors are installed at the park checkpoints and park roads. If there are multiple checkpoints in the park, a roadside sensor will be installed at each checkpoint. For park roads, a roadside sensor can be installed in important areas and / or at preset distances (such as 5 meters) as needed.

[0069] The loop sensor is installed under the road surface corresponding to the roadside sensor.

[0070] The loop sensor and roadside sensor work together to identify vehicles passing over the ground above the loop sensor and record relevant information, such as the electronic tag corresponding to the identified vehicle, the identification time (i.e. the collection time), etc.

[0071] 2. Image collector

[0072] Image collectors are installed next to roadside sensors, park checkpoints, intersections and inside electronic fences.

[0073] Among them, one or more image collectors will be installed next to each roadside sensor. One or more image collectors will also be installed at each park checkpoint. Image collectors will also be installed at each intersection.

[0074] In addition, for campus roads, one or more image collectors may be installed in important areas and / or at preset intervals (eg, 5 meters) as needed.

[0075] Multiple image collectors are also installed in each electronic fence, such as installing an image collector at the corners and / or key areas (such as each door of a building) of the electronic fence and / or at every preset distance (such as 3 meters).

[0076] The image collector can collect images of its corresponding area in real time.

[0077] In addition, whenever a vehicle enters the park through a checkpoint, the image collector installed at the checkpoint will collect the facial image of the person in the cab. The facial image collected at this time is named the first facial image.

[0078] The image collector installed next to the roadside sensor will collect the face image in the cab of a vehicle after the loop sensor and the roadside sensor cooperate to collect the electronic tag of the vehicle. The face image collected at this time is named the second face image.

[0079] 3. Electronic tags

[0080] The electronic tag is the unique identification of all vehicles entering the park. When a vehicle enters the park, it is assigned by the gate administrator, and a corresponding relationship between the assigned electronic tag and the vehicle is established. The assigned electronic tag is handed over to the person in the vehicle (such as the driver), and the driver puts it inside the vehicle (such as the inside of the front windshield). Subsequently, whenever the vehicle passes a loop sensor, the loop sensor and the roadside sensor cooperate to collect the electronic tag inside the vehicle, and then obtain vehicle-related information.

[0081] In addition, when the vehicle leaves the park, the checkpoint administrator will take back the electronic tag and cancel the correspondence between the electronic tag and the vehicle.

[0082] 4. Bayonet terminal

[0083] Each checkpoint in the park is equipped with one or more checkpoint terminals, such as a computer located at the checkpoint, etc. The checkpoint terminal is used to establish a corresponding relationship between the electronic tag and the vehicle.

[0084] In addition, when a vehicle passes through a checkpoint and exits the park, the checkpoint terminal of the checkpoint will cancel the correspondence between the electronic tag and the vehicle after the checkpoint administrator takes back the electronic tag.

[0085] In a specific implementation, when a vehicle enters the park, the image collector at the park checkpoint collects the first face image of the vehicle's cab. After the park checkpoint administrator assigns an electronic tag to it, the electronic tag is placed inside the vehicle. The checkpoint terminal establishes a corresponding relationship between the vehicle and the electronic tag.

[0086] Whenever the loop sensor senses the presence of a vehicle on the road, the roadside sensor sends an inquiry signal to the vehicle. The electronic tag inside the vehicle feeds back the electronic tag identification based on the inquiry signal. At the same time, the image collector next to the roadside sensor collects a second facial image in the vehicle cab.

[0087] When a vehicle exits a checkpoint, the checkpoint manager takes back the electronic tag on the vehicle, and the checkpoint terminal cancels the correspondence between the vehicle and the electronic tag.

[0088] In addition, the electronic fence system includes a plurality of electronic fences and a management device.

[0089] 5. Electronic fence

[0090] The number of electronic fences is the number of buildings in the park.

[0091] Each electronic fence area covers a building area in the park, and each electronic fence covers different buildings. The logo of each other electronic fence is the logo of the building it covers.

[0092] That is to say, each building area corresponds to a unique electronic fence.

[0093] In addition, the construction area is the area including the building, not just the area where the building is located. For example, the construction area includes the building, the green belt around the building, and the road around the building. The specific construction area can be determined by relevant personnel according to actual conditions.

[0094] Furthermore, not every road in the park is necessarily located within an electronic fence.

[0095] 6. Manage equipment

[0096] The management device stores the electronic fence information.

[0097] The electronic fence information includes the identification of each electronic fence and the range it covers.

[0098] The management device establishes a communication connection with the Internet of Things, and then obtains the data collected by all devices in the Internet of Things.

[0099] For example, the management device stores the location information of all IoT devices in the IoT.

[0100] The management device obtains and stores the electronic tag identification collected by the loop sensor and the roadside sensor in cooperation, and the time when the electronic tag identification is collected.

[0101] The management device acquires and stores images acquired by the image collector, such as the first face image, the second face image, other images, and the like.

[0102] The management device obtains and stores the correspondence between the electronic tag and the vehicle established by the checkpoint terminal. When the checkpoint terminal cancels the correspondence between the vehicle and the electronic tag, the management device deletes the stored correspondence between the electronic tag and the vehicle.

[0103] The management device is used to obtain data from the Internet of Things and perform park security management based on the data and electronic fence information.

[0104] In addition, the management device will also record the electronic fence information of each electronic fence, as well as the vehicle information.

[0105] Vehicle information can be reported in advance or when the vehicle enters the park's checkpoint.

[0106] Vehicle information such as whether it is loaded with hazardous chemicals. If loaded with hazardous chemicals, the vehicle information will also include the name of the hazardous chemicals loaded, the loading volume L1, the maximum loading volume of the vehicle L2, the hazardous properties, and the destination (such as building signs, etc.).

[0107] Among them, hazardous attributes include: health hazard level, flammability level, chemical reactivity level, and environmental sensitivity.

[0108] Environmental sensitivity, such as the sensitivity of hazardous chemicals to temperature, humidity, vibration and other environmental factors.

[0109] In addition, the management device stores all information of all vehicles entering the park. The entry here includes not only the current entry, but also all the vehicles that have entered in the past.

[0110] See also Figure 1 The process of the management device performing park security management based on data and electronic fence information is as follows:

[0111] 101, after obtaining the correspondence between the vehicle and the electronic tag established by the checkpoint terminal, the vehicle is determined as a target vehicle, and the electronic tag corresponding to the target vehicle is determined as a target electronic tag.

[0112] If multiple vehicles enter the park through the opening at the same time, execute Figure 1 The process described above is used to perform security management on each vehicle entering the park.

[0113] 102, obtaining a first face image of a target vehicle.

[0114] The first face image is acquired by the image collector at the checkpoint when a target vehicle enters the park.

[0115] 103 , determining the collection time of the target electronic tag identification and the collected roadside sensor identification from all electronic tag identifications collected by the roadside sensor.

[0116] Every time the target vehicle passes a road surface with a loop sensor installed below, the loop sensor and the roadside sensor cooperate to identify the vehicle passing the ground above the loop sensor and record the electronic tag on the vehicle. In this step, the collection information of the target electronic tag is determined from all the electronic tag identifiers collected by the roadside sensor, such as the roadside sensor identifier of the target electronic tag, the time of collecting the target electronic tag, etc.

[0117] Since roadside sensors are installed at the park checkpoints and park roads, vehicles will collect target electronic tags through different roadside sensors when entering the park checkpoints. Therefore, the actual driving route of the vehicle can be restored by collecting the roadside sensor identification of the target electronic tag and the time of collecting the target electronic tag.

[0118] 104. Determine, according to the acquired road sign sensor identification, a second face image acquired by an adjacent image acquisition device.

[0119] While the road sign sensor is collecting the electronic tag, the image collector next to the roadside sensor collects the second face image of the vehicle cab. This step is to obtain the second face image, and at the same time, the management device determines the position of the image collector that collects the second face image based on the location information of all IoT devices stored in the IoT, and then determines the roadside sensor identifier next to the image collector based on the position of the image collector that collects the second face image, and then the second face image can be associated with the collection time of the target electronic tag identifier obtained in step 104 and the collected roadside sensor identifier, and then the collection time of the target electronic tag identifier, the collected roadside sensor identifier and the corresponding second face image are obtained.

[0120] In this way, the collection time of the target electronic tag identification, the collected roadside sensor identification and the corresponding second face image corresponding to each time the target vehicle passes the loop sensor during driving can be obtained.

[0121] 105, forming a target vehicle trajectory set.

[0122] Among them, each element in the target vehicle trajectory set is a triplet <target electronic identification collection time, collected roadside sensor identification, and the second face image collected by the image collector next to it>, and the elements in the target vehicle trajectory set are sorted from far to near according to the target electronic identification collection time.

[0123] The target vehicle's driving trajectory can be obtained by obtaining the target electronic tag identification collection time corresponding to each time the target vehicle passes the loop sensor through steps 103 and 104, the collected roadside sensor identification and the corresponding second face image.

[0124] If the target electronic identification collection time is sorted from far to near, a complete driving trajectory of the target vehicle starting from entering the park is obtained, where the first element of the target vehicle trajectory set is the data collected by the checkpoint when the target vehicle enters the park.

[0125] 106 , managing the target vehicle according to the target vehicle trajectory set, the first face image, and the electronic fence information.

[0126] The implementation process of this step is:

[0127] 106-1, comparing each second facial image with the first facial image to see if they are similar.

[0128] The first face image is an image captured when the target vehicle enters the park, and the second face image is an image captured after the target vehicle enters the park.

[0129] 106-2, if there is a dissimilar second facial image, it means that the cab occupant (such as the driver) of the target vehicle has changed. Whether the change is normal is determined through the following steps, and the target vehicle is managed based on the determination in the following steps.

[0130] Whether a second face image is similar to the first face image can be determined by existing face recognition methods, which will not be introduced in detail here.

[0131] 201, determine the dissimilar second face image as the image to be processed, determine the target electronic identification acquisition time in the triplet where the second face image is located as the time to be processed, and determine the collected roadside sensor identification in the triplet where the second face image is located as the roadside sensor identification to be processed.

[0132] If there are multiple second facial images that are not similar to the first facial image, each second facial image is determined as an image to be processed, and then based on steps 201 to 205, it is determined whether the change is normal.

[0133] This embodiment is described by taking a second facial image that is not similar to the first facial image as an example. The process of determining the second facial image that is not similar to the first facial image is described in detail below.

[0134] 202, determine the time difference Δt1 between the time to be processed and the initial time.

[0135] Among them, the initial moment is the target electronic identification collection moment of the first element in the target vehicle trajectory set, that is, the collection moment of the roadside sensor when the target vehicle enters the park.

[0136] Δt1 represents the time it takes for the target vehicle to enter the park until the occupant in the cab (such as the driver) changes.

[0137] 203 , determining a second position of the roadside sensor to be processed according to the roadside sensor identifier, and determining a travel distance Δd between the second position and the first position.

[0138] Among them, the first position is a position determined according to the roadside sensor identification collected by the first element in the target vehicle trajectory set, that is, the position of the roadside sensor when the target vehicle enters the park.

[0139] This step can be obtained based on the location information of all IoT devices stored in the IoT by the management device. For example, according to the identification of the roadside sensor to be processed, its location is determined from the location information of all IoT devices stored in the IoT, that is, the first location. Then, according to the roadside sensor identification collected by the first element, its location is determined from the location information of all IoT devices stored in the IoT, that is, the second location.

[0140] Δd represents the distance traveled by the target vehicle from the time it enters the park to the time the occupant (such as the driver) in the cab changes. This distance is not the straight-line distance between the first position and the second position, but the length of the driving route between the first position and the second position obtained by the navigation software, which is the driving distance. If there are multiple roads between the first position and the second position, then Δd is the length of the longest road among the multiple roads.

[0141] 204, if or, An abnormal warning is then issued for the target vehicle.

[0142] Among them, v max is the maximum speed of the target vehicle, max{·} is the maximum value function, v0 is the standard speed of the target vehicle, and dn is the danger level of the target vehicle.

[0143] It represents the average speed of the target vehicle from the time it enters the park to the time when the occupant (such as the driver) in the cab changes. max Represents the maximum driving speed of the target vehicles specified in the park.

[0144] if This means that the target vehicle is speeding, and the target vehicle is abnormal. This means that the target vehicle is traveling too slowly, and there may be a long stop during driving (at this time, the driver may have changed the driver), and the target vehicle is also abnormal. or, An abnormal warning is then issued for the target vehicle.

[0145] For v max , which is determined based on the standard speed v0 of the target vehicle and the danger level db of the target vehicle. The maximum speed of the target vehicle fully considers the loading situation of the target vehicle, thereby realizing the safety management of the park with chemical enterprises.

[0146] The standard speed v0 of the target vehicle may be the maximum speed limit specified by the park, such as 10 km / h.

[0147] The steps to determine the target vehicle danger level dn are:

[0148] 301, determine whether the target vehicle is loaded with hazardous chemicals.

[0149] 302. If dangerous chemicals are loaded, perform the following steps:

[0150] 302-1, determine the name and quantity of hazardous chemicals loaded.

[0151] 302-2, determine the hazardous properties according to the name of the hazardous chemicals loaded, including health hazard level, flammability level, chemical reactivity level, and environmental sensitivity.

[0152] 302-3, among all the historical and current vehicles entering the park, the number n1 of other vehicles whose dangerous attribute similarity is greater than a preset threshold.

[0153] The similarity can be obtained by using an existing solution to calculate the distance between the dangerous attributes of the historical and current vehicles (the current vehicles here do not include the target vehicle, but all other vehicles entering the park) and the dangerous attributes of the target vehicle.

[0154] 302-4, confirmed

[0155] Among them, S1 is the environmental sensitivity, n2 is the number of all historical and current vehicles entering the park, g1 is the health hazard level, g2 is the flammability level, g3 is the chemical reaction activity level, and g max It is the standard maximum value among the health hazard level, flammability level, and chemical reactivity level. L2 is the maximum load of the vehicle.

[0156] It represents the ratio of similar hazardous chemicals that have entered the park in the past and are currently entering the park. The larger the value, the more related companies there are in the park, and the entry of the target vehicle this time is relatively normal.

[0157] Characterizes the degree of danger of hazardous chemicals loaded on the target vehicle. The larger the value, the more dangerous it is.

[0158] Characterizes the degree of dangerous chemicals loaded on the target vehicle. The larger the value, the more loaded and the more dangerous it is.

[0159] therefore, S1 characterizes the degree of danger of vehicles loaded with hazardous chemicals from the perspective of vehicle loading. S2 characterizes the degree of danger of vehicles loaded with hazardous chemicals from the perspective of environmental sensitivity. The hazard level of the vehicle loaded with hazardous chemicals is characterized from two aspects: the environment and the vehicle, namely, the target vehicle hazard level dn.

[0160] 303, if no hazardous chemicals are loaded, perform the following steps:

[0161] 303-1, determine the distance between the current vehicle entering the park and the target vehicle.

[0162] The current vehicle here does not include the target vehicle, that is, all other vehicles currently entering the park.

[0163] 303-2, sort the distances from small to large to obtain the first sequence.

[0164] 303-3, determining the median of the distances in the first sequence as the median distance.

[0165] The median is the distance in the middle of the first sequence.

[0166] 303-4, determine the number n3 of hazardous chemicals loaded in each current vehicle whose distance is less than or equal to the median distance.

[0167] 303-5, confirmed

[0168] Among them, n4 is the current total number of vehicles entering the park.

[0169] It represents the proportion of vehicles carrying dangerous chemicals in the half of the vehicles closest to the target vehicle. The larger the proportion, the more dangerous vehicles there are near the target vehicle, and the more dangerous the target vehicle is, that is, the greater the danger degree dn of the target vehicle.

[0170] 205, if The target vehicle is managed according to the relationship between the second position and the electronic fence.

[0171] like This means that the average driving speed of the target vehicle from the time it enters the park to the time the person in the cab (such as the driver) changes is normal. At this time, whether this change is normal will be judged based on the position of the person in the cab (such as the driver) changing.

[0172] The implementation process of step 205 is as follows:

[0173] If the second location is within the electronic fence, perform the following steps:

[0174] 401, determining the electronic fence where the second position is located as the electronic fence to be processed, and determining the electronic fence information of the electronic fence to be processed as the electronic fence information to be processed.

[0175] 402 , according to the identifier of the electronic fence in the electronic fence information to be processed, obtaining the image to be processed collected by the image collector therein.

[0176] This step can be obtained based on the location information of all IoT devices stored in the IoT and the electronic fence information of the electronic fence according to the management device. For example, according to the identification of the electronic fence in the electronic fence information to be processed, the coverage range is determined from the stored electronic fence information of the electronic fence, and then all image collectors located within the coverage range are determined based on the location information of all IoT devices stored in the IoT. Finally, the images collected by all image collectors within the coverage range are obtained (which can be the current image or the image of the most recent period, such as the image of the most recent 5 minutes, etc.). At this time, the images collected by all image collectors within the coverage range are the images to be processed.

[0177] 403, determining the number n5 of vehicles included in the image to be processed.

[0178] In this step, the number of vehicles n5 included in the image to be processed can be identified by the existing image recognition technology. That is, the number of vehicles included in each image to be processed can be identified by the existing image recognition technology, and then the sum of the numbers is n5.

[0179] 404, if Then an abnormal warning is issued for the target vehicle. No warning is given, and steps 103 to 106 are repeated until an abnormal warning is given for the target vehicle or the target vehicle leaves the park.

[0180] Where n6 is the total number of vehicles carrying hazardous chemicals that have appeared in the history within the range covered by the electronic fence information to be processed, n7 is the total number of vehicles that have appeared in the history within the range covered by the electronic fence information to be processed, and r max The maximum proportion of historical vehicles within the electronic fence to be processed.

[0181] Characterizes the proportion of vehicles loaded with hazardous chemicals in the electronic fence to be processed. Characterizes the proportion of vehicles to be processed by the electronic fence under normal circumstances.

[0182] Characterizes the current proportion of vehicles to be processed in the electronic fence. If This means that there is a risk in the electronic fence where the position where the cab occupant (such as the driver) changes is located. The change of the driver this time may be abnormal, so an abnormal warning is issued for the target vehicle.

[0183] If the second location is not within the electronic fence, perform the following steps:

[0184] 501, determine the time difference Δt2 between the target electronic identification collection time of the last element in the target vehicle trajectory set and the current time.

[0185] Δt2 represents the duration of the last stop of the target vehicle.

[0186] 502, if Δt2>t max , it means that the target vehicle stopped for a long time last time. At this time, the corresponding third position will be determined according to the roadside sensor identification collected by the last element in the target vehicle trajectory set, and the target vehicle will be managed according to the third position.

[0187] Among them, t max The preset duration.

[0188] The third position is the current parking position of the target vehicle. Then the process of managing the target vehicle according to the third position is:

[0189] If the third position is within the electronic fence, then when the target electronic fence of the target vehicle is not the electronic fence where the third position is located, an abnormal warning is issued for the target vehicle. When the target electronic fence of the target vehicle is the electronic fence where the third position is located, no warning is issued, and steps 103 to 106 are repeatedly executed until an abnormal warning is issued for the target vehicle or the target vehicle leaves the park.

[0190] If the third position is not within the electronic fence, the electronic fence closest to the third position is determined. When the nearest electronic fence is not the target electronic fence of the target vehicle, and the distance between the target position of the target vehicle and the third position is greater than the preset distance deviation, an abnormal warning is issued for the target vehicle. Otherwise, no warning is issued, and steps 103 to 106 are repeated until an abnormal warning is issued for the target vehicle or the target vehicle leaves the park.

[0191] The target electronic fence of the target vehicle can be determined based on the destination in the stored vehicle information and the stored electronic fence information. For example, based on the electronic tag of the target vehicle, the destination of the vehicle corresponding to the electronic tag is searched from the stored vehicle information. Then, the electronic fence information covering the destination is determined based on the stored electronic fence information, and the electronic fence information is the target electronic fence of the target vehicle.

[0192] In addition, the target position of the target vehicle is the position of the destination of the vehicle corresponding to the electronic tag.

[0193] The preset distance deviation is an empirical value, such as 10 meters.

[0194] That is to say, if the current parking position of the target vehicle is within the electronic fence, but it is not parked within the electronic fence where the target vehicle should be parked, the target vehicle's stopping position is abnormal. The abnormality is likely caused by a change in the cab occupant (such as the driver). In this case, the target vehicle is considered abnormal and an abnormal warning is issued.

[0195] If the current parking position of the target vehicle is not within the electronic fence, but the electronic fence closest to the parking position is the target electronic fence, or the distance between the target position of the target vehicle and the third position is not greater than the preset distance deviation, it is considered that although the cab occupant (such as the driver) has changed, the target vehicle is relatively close to the destination, and the target vehicle is considered normal. If the electronic fence closest to the parking position is not the target electronic fence, and the distance between the target position of the target vehicle and the third position is greater than the preset distance deviation, it means that the parking position of the target vehicle is abnormal, and the abnormality is likely caused by the change of the cab occupant (such as the driver), the target vehicle is considered abnormal, and an abnormality warning is issued.

[0196] 106-3, if there is no dissimilar second face image, perform the following steps:

[0197] 601 , determining a time difference Δt2 between the target electronic identification collection time of the last element in the target vehicle trajectory set and the current time.

[0198] Δt2 represents the duration of the last stop of the target vehicle.

[0199] 602, if Δt2>tmax , it means that the target vehicle stopped for a long time last time. At this time, the corresponding third position will be determined according to the roadside sensor identification collected by the last element in the target vehicle trajectory set, and the target vehicle will be managed according to the third position.

[0200] Among them, t max The preset duration.

[0201] The third position is the current parking position of the target vehicle. Then the process of managing the target vehicle according to the third position is:

[0202] If the third position is within the electronic fence, then when the target electronic fence of the target vehicle is not the electronic fence where the third position is located, an abnormal warning is issued for the target vehicle. When the target electronic fence of the target vehicle is the electronic fence where the third position is located, no warning is issued, and steps 103 to 106 are repeatedly executed until an abnormal warning is issued for the target vehicle or the target vehicle leaves the park.

[0203] If the third position is not within the electronic fence, the electronic fence closest to the third position is determined. When the nearest electronic fence is not the target electronic fence of the target vehicle, and the distance between the target position of the target vehicle and the third position is greater than the preset distance deviation, an abnormal warning is issued for the target vehicle. Otherwise, no warning is issued, and steps 103 to 106 are repeated until an abnormal warning is issued for the target vehicle or the target vehicle leaves the park.

[0204] The target electronic fence of the target vehicle can be determined based on the destination in the stored vehicle information and the stored electronic fence information. For example, based on the electronic tag of the target vehicle, the destination of the vehicle corresponding to the electronic tag is searched from the stored vehicle information. Then, the electronic fence information covering the destination is determined based on the stored electronic fence information, and the electronic fence information is the target electronic fence of the target vehicle.

[0205] In addition, the target position of the target vehicle is the position of the destination of the vehicle corresponding to the electronic tag.

[0206] The preset distance deviation is an empirical value, such as 10 meters.

[0207] That is to say, if the current parking position of the target vehicle is within the electronic fence, but it is not parked within the electronic fence where the target vehicle should be parked, and the target vehicle's parking position is abnormal, then the target vehicle is considered abnormal and an abnormal warning is issued.

[0208] If the current parking position of the target vehicle is not within the electronic fence, but the electronic fence closest to the parking position is the target electronic fence, or the distance between the target position of the target vehicle and the third position is not greater than the preset distance deviation, it is considered that the target vehicle is relatively close to the destination and the target vehicle is considered normal. If the electronic fence closest to the parking position is not the target electronic fence, and the distance between the target position of the target vehicle and the third position is greater than the preset distance deviation, it means that the parking position of the target vehicle is abnormal, and the target vehicle is considered abnormal, and an abnormal warning is issued.

[0209] In addition, when the target vehicle passes through a checkpoint and exits the park, the manager of the checkpoint takes back the electronic tag on the vehicle, and the checkpoint terminal cancels the correspondence between the vehicle and the electronic tag. After the management device receives the cancelation command from the checkpoint terminal, it deletes the correspondence between the vehicle and the electronic tag stored in the management device.

[0210] The electronic fence system for park security management based on the Internet of Things provided in this embodiment covers the park with the Internet of Things; the Internet of Things consists of multiple loop sensors, multiple roadside sensors, multiple image collectors, multiple electronic tags, and multiple checkpoint terminals; the roadside sensors are installed at the checkpoints in the park and beside the roads in the park; the loop sensors are installed under the ground of the road corresponding to the roadside sensors; the electronic fence system includes multiple electronic fences and a management device; the number of electronic fences is the number of buildings in the park; the image collectors are installed beside the roadside sensors, checkpoints in the park, intersections and in the electronic fences; the management device stores electronic fence information; the electronic fence information includes the identification of each electronic fence and the range it covers; the management device establishes a communication connection with the Internet of Things; the management device is used to obtain data in the Internet of Things, and perform park security management based on the data and electronic fence information, thereby realizing park security management for chemical companies

[0211] It should be clear that the present invention is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present invention.

[0212] It should also be noted that the exemplary embodiments mentioned in the present invention describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in a different order from the embodiments, or several steps can be performed simultaneously.

[0213] Finally, it should be noted that the above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some or all of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An electronic fence system for park security management based on the Internet of Things, characterized in that: The park covers the Internet of Things; The Internet of Things consists of multiple loop sensors, multiple roadside sensors, multiple image collectors, multiple electronic tags, and multiple card slot terminals; The roadside sensors are installed at the park checkpoints and beside the park roads; the loop sensors are installed under the road surface corresponding to the roadside sensors; The electronic fence system includes a plurality of electronic fences and a management device; The number of electronic fences is the number of buildings in the park; wherein each electronic fence area covers a building area in the park, each electronic fence covers different buildings, and the identification of each other electronic fence is the identification of the building it covers; The image collector is installed beside the roadside sensor, at the park checkpoint, at the intersection and in the electronic fence; The management device stores electronic fence information; the electronic fence information includes the identification of each electronic fence and the range it covers; The management device establishes a communication connection with the Internet of Things; The management device is used to obtain data from the Internet of Things and perform park security management based on the data and electronic fence information.

2. The system according to claim 1, characterized in that When a vehicle enters the park, the image collector at the park checkpoint collects the first face image of the vehicle's cab; after the park checkpoint administrator assigns an electronic tag to it, the electronic tag is placed inside the vehicle; the checkpoint terminal establishes a corresponding relationship between the vehicle and the electronic tag; Whenever the loop sensor senses the presence of a vehicle on the road, the roadside sensor sends an inquiry signal to the vehicle, and the electronic tag inside the vehicle feeds back the electronic tag identification based on the inquiry signal. At the same time, the image collector next to the roadside sensor collects a second facial image of the vehicle's cab.

3. The system according to claim 2, characterized in that The park security management is performed according to the data and the electronic fence information, including: After obtaining the correspondence between the vehicle and the electronic tag established by the checkpoint terminal, the vehicle is determined as a target vehicle, and the electronic tag corresponding to the target vehicle is determined as a target electronic tag; Acquire a first face image of a target vehicle; Determine the collection time of the target electronic tag identification and the collected roadside sensor identification from all electronic tag identifications collected by the roadside sensor; Determine the second face image collected by the image collector next to the road sign sensor according to the collected road sign sensor identification; A target vehicle trajectory set is formed; wherein each element in the target vehicle trajectory set is a triplet <target electronic identification collection time, collected roadside sensor identification, and second face image collected by the image collector next to it>, and the elements in the target vehicle trajectory set are sorted from far to near according to the target electronic identification collection time; The target vehicle is managed according to the target vehicle trajectory set, the first face image and the electronic fence information.

4. The system according to claim 3, characterized in that The method of managing the target vehicle according to the target vehicle trajectory set, the first face image and the electronic fence information includes: comparing each second facial image with the first facial image to see whether they are similar; If there is a dissimilar second face image, the dissimilar second face image is determined as the image to be processed, the target electronic identification acquisition time in the triplet in which the dissimilar second face image is located is determined as the time to be processed, and the collected roadside sensor identification in the triplet in which the dissimilar second face image is located is determined as the roadside sensor identification to be processed; Determine the time difference Δt1 between the time to be processed and the initial time; wherein the initial time is the target electronic identification collection time of the first element in the target vehicle trajectory set; Determine the second position of the target vehicle according to the roadside sensor identifier to be processed, and determine the travel distance Δd between the second position and the first position; wherein the first position is the position determined according to the roadside sensor identifier collected for the first element in the target vehicle trajectory set; like or, Then an abnormal warning is issued for the target vehicle; among them, v max is the maximum speed of the target vehicle, max{·} is the maximum value function, v0 is the standard speed of the target vehicle, and dn is the danger level of the target vehicle; like The target vehicle is managed according to the relationship between the second position and the electronic fence.

5. The system according to claim 4, characterized in that The steps for determining the dn are: Determine whether the target vehicle is loaded with hazardous chemicals; If dangerous chemicals are loaded, the name and loading quantity of the dangerous chemicals shall be determined L1; Determine the hazardous attributes according to the names of the hazardous chemicals loaded; wherein the hazardous attributes include: health hazard level, flammability level, chemical reactivity level, and environmental sensitivity; Among all the historical and current vehicles entering the park, the number of other vehicles n1 whose similarity with dangerous attributes is greater than the preset threshold; Sure Among them, S1 is the environmental sensitivity, n2 is the number of all historical and current vehicles entering the park, g1 is the health hazard level, g2 is the flammability level, g3 is the chemical reaction activity level, and g max It is the standard maximum value among the health hazard level, flammability level, and chemical reactivity level. L2 is the maximum load of the vehicle.

6. The system according to claim 5, characterized in that After determining whether the target vehicle is loaded with hazardous chemicals, the method further includes: If no hazardous chemicals are loaded, determine the distance between the current vehicle entering the park and the target vehicle; Sort the distances from small to large to get the first sequence; The median distance is determined as the median distance in the first sequence; Determine the number n3 of hazardous chemicals loaded in each current vehicle whose distance is less than or equal to the median distance; Sure Among them, n4 is the current total number of vehicles entering the park.

7. The system according to claim 4, characterized in that The managing the target vehicle according to the relationship between the second position and the electronic fence includes: If the second position is located within the electronic fence, the electronic fence where the second position is located is determined as the electronic fence to be processed, and the electronic fence information of the electronic fence to be processed is determined as the electronic fence information to be processed; According to the identifier of the electronic fence in the electronic fence information to be processed, the image to be processed collected by the image collector in the electronic fence is obtained; Determining the number n5 of vehicles included in the image to be processed; like Then an abnormal warning is issued for the target vehicle; where n6 is the total number of vehicles carrying hazardous chemicals that have appeared in the history within the range covered by the electronic fence information to be processed, n7 is the total number of vehicles that have appeared in the history within the range covered by the electronic fence information to be processed, and r max The maximum proportion of historical vehicles within the electronic fence to be processed.

8. The system according to claim 4, characterized in that The management device is also used for: If the second position is not located within the electronic fence, or there is no dissimilar second face image, then determining the time difference Δt2 between the target electronic identification acquisition time of the last element in the target vehicle trajectory set and the current time; If Δt2>t max , then determine the corresponding third position according to the roadside sensor identification collected by the last element in the target vehicle trajectory set; manage the target vehicle according to the third position; wherein, t max The preset duration.

9. The system according to claim 8, characterized in that The managing the target vehicle according to the third position includes: If the third position is located within the electronic fence, then when the target electronic fence of the target vehicle is not the electronic fence where the third position is located, an abnormal warning is issued for the target vehicle.

10. The system according to claim 8, characterized in that The managing the target vehicle according to the third position includes: If the third position is not within the electronic fence, the electronic fence closest to the third position is determined; when the nearest electronic fence is not the target electronic fence of the target vehicle, and the distance between the target position of the target vehicle and the third position is greater than the preset distance deviation, an abnormal warning is issued for the target vehicle.

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