Animal epidemic disease port remote real-time monitoring and early warning system

Abstract

The invention discloses an animal epidemic disease port remote real-time monitoring and early warning system, and relates to the technical field of Internet of Things monitoring, and the system comprises a state evaluation module which is used for obtaining various real-time parameters in an animal port so as to determine a risk state index of the animal port; through the system, an abnormal detection area can be rapidly identified, a grading early warning mechanism is automatically triggered, quarantine personnel are assisted to preferentially dispose high-risk point locations, and an epidemic disease transmission chain is effectively blocked; in addition, through a spatial hot spot analysis technology, the system can visually display a core detection area of epidemic disease distribution, and a scientific basis is provided for accurate prevention and control; a real-time risk map and an intelligent algorithm are combined, an optimal disposal path is automatically planned, a high-risk detection area is avoided, and the epidemic situation diffusion risk is reduced to the maximum extent; meanwhile, aiming at the problem of resource shortage in an emergency scene, the system dynamically coordinates epidemic prevention resources through an elastic scheduling mechanism, can match available epidemic prevention stations nearby, and optimizes a carrier and personnel allocation scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of Internet of Things monitoring, and in particular to an animal epidemic port remote real-time monitoring and early warning system. BACKGROUND

[0002] The animal epidemic port, as a key node of international logistics and biological safety, its monitoring and early warning capability is directly related to the risk control of epidemic spread and social public health safety. Traditional port epidemic prevention and control relies on manual inspection and static data collection, which has the bottleneck of single monitoring dimension, lagging response, and inefficient resource scheduling. For example, the multi-index fusion analysis of environmental parameters (such as temperature and humidity, harmful gases) is lacking, and it is difficult to identify high-risk areas in a timely manner; the real-time linkage of dynamic information such as human and livestock circulation and vehicle disinfection is not possible, resulting in insufficient accuracy of epidemic spread prediction; emergency disposal relies on experience-based decision-making, and the scientific assessment of vehicle capacity, path selection and health status is lacking, which can easily lead to task interruption or delay.

[0003] To address the above challenges, the prior art attempts to introduce Internet of Things sensors and basic data platforms, but still has the following shortcomings: heterogeneous data such as environment, human and livestock, and vehicles are collected independently, lacking cross-dimensional correlation analysis, making it difficult to form a global risk assessment; the emergency plan relies on preset rules, and cannot dynamically adjust the emergency plan according to the epidemic spread rate, weather changes, etc., making it difficult to coordinate the matching of vehicle capacity, path optimization and health status in emergency situations; lack of automated emergency transfer mechanism, which can easily cause gaps in epidemic prevention; also provides an animal epidemic port remote real-time monitoring and early warning system. SUMMARY

[0004] The purpose of the present application is to solve the problem that the existing animal epidemic monitoring system cannot combine the actual epidemic state of the animal epidemic port to perform emergency control, and to provide an animal epidemic port remote real-time monitoring and early warning system.

[0005] To achieve the above purpose, the present application adopts the following technical animal epidemic port remote real-time monitoring and early warning system, which comprises a state evaluation module for acquiring various real-time parameters of each detection area in the animal port to determine the risk state index of the detection area in the animal port , the real-time parameters include: environmental comprehensive value, human and livestock real-time circulation value, epidemic space density value, and vehicle risk total value; Wherein, the animal port is comprehensively evaluated according to the risk state index, so that the animal port is divided into a safe queue and a risk operation queue; Further comprising: a risk monitoring and control module for acquiring the risk operation queue and diagnosing the risk level of the risk detection area in the risk operation queue, and generating a diagnosis and disposal scheme based on the diagnosis result; If the diagnostic treatment scheme is generated, other vehicles are planned to pass the animal outbreak point path, the epidemic prevention task of the sick animal in the risk detection area is performed, and whether a backup scheme is generated is determined, and the percentage of the epidemic prevention task progress and the epidemic prevention warning time of the epidemic prevention task are determined to perform management and control on the risk detection area.

[0006] The acquisition step of the environment comprehensive value is as follows: SA. The entire animal port is divided into multiple detection areas according to the traffic route, and a monitoring time period is constructed, including multiple monitoring time points; SB. The temperature data, humidity data, ammonia concentration and hydrogen sulfide concentration of each detection area in the same monitoring time period at each monitoring time point are recorded respectively SC. The temperature data, humidity data, ammonia concentration and hydrogen sulfide concentration of each detection area in the same monitoring time period at each monitoring time point are extracted, and the average values thereof are calculated respectively; SD. The environment comprehensive value of each detection area is calculated.

[0007] The acquisition step of the human-animal real-time flow value is as follows: Step SA is performed; YB. The number of regional personnel and the number of regional animals of each detection area in the same monitoring time period at each monitoring time point are recorded respectively ; YC. The number of regional personnel and the number of regional animals of each detection area in the same monitoring time period at each monitoring time point are extracted, and the average values thereof are calculated respectively; YD. The human-animal real-time flow value of each detection area is calculated .

[0008] The acquisition step of the epidemic disease space density value is as follows: Step SA is performed; ZB. The number of sick animals and the coordinates of the sick points of each detection area in the same monitoring time period at each monitoring time point are recorded respectively; ZC. The number of sick animals and the coordinates of the sick points of each detection area in the same monitoring time period at each monitoring time point are extracted; ZD. The total number of sick animals in the detection area and the average distance from the center point of the detection area to the position of the sick point are calculated, and thus the epidemic disease space density value of the i-th detection area is calculated.

[0009] The acquisition step of the vehicle risk total value is as follows: Step SA is performed; ​​​​​In each detection area, at each monitoring time point in the same monitoring time period, the residence time of each vehicle entering the detection area is obtained through GPS positioning , disinfection state value , load ; Based on the residence time, disinfection state value and load of each vehicle, a vehicle risk value is obtained, and the vehicle risk values of all vehicles in the same monitoring time period are summed to obtain the total vehicle risk value of the detection area.

[0010] The risk state index is obtained when generating, and a judgment is performed as follows: When the risk state index is not greater than the risk threshold value, the corresponding detection area is recorded as a safe detection area, and a safe operation queue is constructed; When the risk state index is greater than the risk threshold value, the corresponding detection area is recorded as a risk detection area, and a risk operation queue is constructed.

[0011] The sick animals in the risk detection area are subjected to epidemic prevention tasks, and it is determined whether to generate a backup scheme, and the specific method is: The risk detection area corresponding to the diagnosis and treatment scheme is recorded as a target detection area, and the corresponding completed progress and epidemic prevention warning time of the target detection area are obtained, the remaining treatment time is obtained according to the completed progress and the total treatment time, the treatment completion time is generated by combining the remaining treatment time with the current time , and it is determined whether the treatment completion time is later than the epidemic prevention warning time: If the treatment completion time is later than the epidemic prevention warning time, the difference between the treatment completion time and the epidemic prevention warning time is obtained and recorded as extra time, the difference between the epidemic prevention warning time and the current time is obtained and recorded as remaining warning time, and a backup scheme is generated.

[0012] The determination method of the target detection area j in the backup scheme is: The number of animals for additional epidemic prevention is determined according to the extra time, and the number of epidemic prevention vehicles and the distance threshold are determined based on the number of animals for additional epidemic prevention and the remaining warning time; The nearby detection area j of the risk detection area is determined according to the distance threshold and the number of animals for additional epidemic prevention, and the epidemic prevention capacity of the nearby detection area is evaluated, if the remaining capacity of the nearby detection area j is not less than the number of animals for additional epidemic prevention, and the distance is not greater than the distance threshold, the epidemic prevention capacity meets the requirements, and the nearby detection area j is determined as the target detection area j.

[0013] ​The backup solution further comprises the following steps: Obtaining whether the farthest driving distance of the vehicle is affected by the road parameters and the meteorological environment under the historical environment of driving, if affected by the road parameters and the meteorological environment, obtaining the meteorological influence factor, the road adhesion coefficient and the real-time traffic flow density from the risk detection area to the target detection area j, thereby calculating the road parameters reaching the target detection area j; Obtaining whether the actual maximum driving distance of the vehicle is affected by the suspension fault, the temperature control equipment failure and the endurance mileage of the vehicle during the driving process of the transportation allocation, if affected by the state of the vehicle of the transportation allocation, obtaining the remaining endurance mileage of the current epidemic prevention vehicle, the cargo hold temperature fluctuation amplitude and the suspension system health degree, thereby calculating the working condition parameters of the current epidemic prevention vehicle; According to the road parameters reaching the target detection area j and the working condition parameters of the current epidemic prevention vehicle, the effective speed of the current epidemic prevention vehicle is determined, thereby obtaining the transportation time of the current epidemic prevention vehicle, and the transportation time of the current epidemic prevention vehicle is compared with the remaining warning time: If the transportation time of the current epidemic prevention vehicle is not greater than the remaining warning time, the target detection area j is the final transportation area.

[0014] In summary, since the above-mentioned technical animal epidemic port remote real-time monitoring and early warning system is adopted, the beneficial effects of the present application are: 1. The present application integrates the environmental parameters of the animal port, the dynamic of human and livestock flow, the epidemic situation and the running state of the vehicle in real time through the Internet of Things technology, constructs a multi-dimensional data sensing network, accurately divides the safety detection area and the risk detection area, realizes the transformation of risk warning from passive response to active intervention; the system can quickly identify abnormal detection areas, automatically trigger a hierarchical early warning mechanism, assist quarantine personnel to prioritize high-risk points, and effectively block the epidemic transmission chain; 2. The present application aims at the problem of resource shortage in the emergency scene, the system dynamically coordinates the epidemic prevention resources through the elastic scheduling mechanism, matches the available epidemic prevention sites nearby, optimizes the vehicle and personnel allocation scheme, and ensures the efficient completion of emergency disposal tasks; in the peak period of cross-border port or complex scene, this mechanism can significantly improve the success rate of emergency response and reduce the loss of cross-border trade caused by epidemic delay, and provides intelligent support for animal epidemic prevention and control throughout the whole process. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 The system block diagram of the present application is shown. DETAILED DESCRIPTION

[0016] The technical animal epidemic port real-time remote monitoring and early warning system in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the present application.

[0017] In order to monitor and warn the animal epidemic port and ensure the normal operation of the animal epidemic port, it is necessary to divide the animal epidemic port into multiple detection areas and monitor and warn each detection area. In this regard, The animal epidemic port is divided into multiple independent detection areas, and each detection area is monitored and warned. The core of this detection area division is to realize accurate monitoring and dynamic response of the animal epidemic port through differentiated management of space and fine processing of data. This mode not only meets the requirements of relevant international and domestic regulations, but also significantly improves the efficiency of emergency handling and reduces economic losses. It is a key strategy to build a modern port epidemic prevention and control system. The present application will be further described below in conjunction with the embodiments.

[0018] Embodiment 1 (see Figure 1 ): The animal epidemic port real-time remote monitoring and early warning system provided by the present application comprises a state evaluation module, which is used to obtain various real-time parameters in the animal port to determine the risk state index of the animal port. The various real-time parameters include: environmental comprehensive value, real-time flow value of people and livestock, epidemic space density value, and total value of vehicle risk; The steps for obtaining the environmental comprehensive value are as follows: SA. The entire animal port is divided into multiple detection areas according to the traffic routes: Based on the physical layout of the port traffic network (such as highways, railways, and waterways), topological modeling is performed on the main roads, secondary roads, loading and unloading area channels, etc. using GIS technology to identify key nodes such as intersections, parking lots, and quarantine channels. Each key node is divided into a corresponding detection area; A monitoring time period includes each monitoring time point:

[0019] In the formula, T is the entire monitoring time period, m is the total number of monitoring time points, is the mth monitoring time point; SB. Record the temperature data , humidity data , and ammonia concentration hydrogen sulfide concentration (i is the detection area number, j is the time point number); SC. Extract the temperature data, humidity data, ammonia concentration, and hydrogen sulfide concentration at each monitoring time point in each detection area under the same monitoring period, and calculate their average values respectively, denoted as:

[0020]

[0021]

[0022]

[0023] wherein, the average temperature of the ith detection area, the average humidity of the ith detection area, the average ammonia concentration of the ith detection area, the average hydrogen sulfide concentration of the ith detection area, and m is the total number of monitoring time points; SD. Calculate the environmental comprehensive value in the ith detection area;

[0024] wherein: the environmental comprehensive value of the ith detection area, 、 、 is the corresponding weight coefficient.

[0025] By integrating temperature, humidity, ammonia concentration, and hydrogen sulfide concentration, and dynamically adjusting the weight coefficient by combining the analytic hierarchy process, the precise quantitative evaluation of environmental risk is realized; high-risk areas (such as areas with excessive ammonia concentration) can be identified, triggering targeted disinfection or ventilation measures to reduce the probability of disease transmission; real-time dynamic updating: through continuous data collection at monitoring time points, the environmental comprehensive value is dynamically corrected, avoiding the lag of traditional static monitoring.

[0026] The steps for obtaining the real-time flow value of humans and animals are as follows: Perform step SA; YB. Record the number of area personnel and the number of area animals at each monitoring time point in each detection area under the same monitoring period and ; YC. Calculate the average values of the number of area personnel and the number of area animals at each monitoring time point in each detection area under the same monitoring period, denoted as:

[0027]

[0028] In the formula, the regional average number of people in the ith detection area, the regional average number of animals in the ith detection area; YD. Calculate the real-time flow value of people and animals in each detection area ; (weighted sum of the average number of people in the area and the average number of animals in the area)

[0029] In the formula, is the real-time flow value of people and animals, , is the corresponding weight coefficient.

[0030] The weighted sum of the regional average number of people and the regional average number of animals reflects the intensity of human-animal contact in the region in real time; automatically increase the weight of human flow during peak period (such as holidays) to accurately predict the risk of epidemic spread; combined with the operation state of the port (such as temporary closing of the channel), optimize the resource allocation strategy.

[0031] The steps for obtaining the disease spatial density value are as follows: Execute step SA; ZB. Record the number of animals that fall ill and the coordinates of the falling ill points in each detection area, at each monitoring time point in the same monitoring time period ; ZC. Extract the number of animals that fall ill and the coordinates of the falling ill points in each detection area, at each monitoring time point in the same monitoring time period; ZD. Calculate the total number of falling ill animals in the detection area and the average distance from the center point of the detection area to the falling ill point position, thereby calculating the disease spatial density value of the ith detection area;

[0032]

[0033]

[0034] In the formula, is the total number of falling ill animals in the ith detection area, is the number of falling ill animals at the j time point in the ith detection area, is the average distance from the center point of the detection area i to the falling ill point position, is the center coordinate of the ith detection area, and k is the number of falling ill animals, is the falling ill point coordinate of the kth falling ill animal in the ith detection area, and n is the total number of falling ill points in the ith detection area, ​is the disease spatial density value (or risk value) of the ith detection area, which is used to quantify the disease transmission risk of the detection area, is the total number of sick animals in the ith detection area, is the bandwidth parameter, which controls the spatial influence range of the kernel density estimation.

[0035] The disease spatial density value is calculated based on the kernel density estimation to locate the sick hot spot area; the risk influence range is adjusted by the bandwidth parameter to distinguish between local outbreak and widespread transmission scenarios; the quarantine personnel are assisted to prioritize the disposal of high-risk areas to avoid resource waste.

[0036] The steps for obtaining the total carrier risk value are as follows: Step SA is performed; In each detection area, at each monitoring time point in the same monitoring period, the carrier residence time of each carrier entering the detection area is obtained by GPS positioning , the disinfection state value , the load ; Based on the carrier residence time, the disinfection state value, and the load of each carrier, the carrier risk value is obtained, and the sum of the carrier risk values of all carriers in the same monitoring period is calculated to obtain the total carrier risk value of the detection area, as shown below:

[0037]

[0038] In the formula, is the total carrier risk value of the qth carrier in the ith detection area, is the residence time of the qth carrier in the ith detection area, is the disinfection state value of the qth carrier in the ith detection area; According to the preset disinfection plan of the carrier (such as daily timed disinfection), the actual disinfection operation record is compared; if the disinfection time and dose meet the standard (such as SN / T 4709-2016 standard), it is marked as , otherwise, ; is the load of the qth carrier in the ith detection area, , , is the weight coefficient; is the total carrier risk value of the ith detection area; is the total number of carriers in the ith detection area; q is the carrier number.

[0039] The calculation formula of the risk state index is as follows:

[0040] In the formula, Risk status index of the i-th detection area , , , These are the weighting coefficients; Among them, animal ports are comprehensively assessed based on the risk status index, thereby dividing animal ports into safe queues and risk operation queues; Obtain risk threshold And perform the following judgment: when At that time, The corresponding i-th detection region is denoted as the security detection region, and a security operation queue is constructed. when At that time, The corresponding detection area i is denoted as the risk detection area, and a risk operation queue is constructed.

[0041] The risk of vehicle transmission is quantified by combining the vehicle's dwell time, disinfection status, and load; vehicles that fail to meet disinfection standards or stay for too long are automatically marked, triggering interception or secondary disinfection; and independent channels are allocated to high-risk vehicles to reduce the risk of cross-contamination. This invention generates a risk status index by weighted fusion of environmental, human and animal, disease incidence and vehicle data, dynamically divides safe queues and risk operation queues, adjusts regional risk levels in real time, improves the flexibility of prevention and control, and avoids misjudgment based on a single indicator (such as relying solely on environmental parameters while ignoring human traffic). Also includes: The risk monitoring and control module is used to acquire the safety queue and the risk operation queue, diagnose the risk level of the risk detection areas in the risk operation queue, generate a diagnosis and treatment plan based on the diagnosis results, and set risk thresholds based on historical data and expert experience, as shown below: Safe (low-risk) queue No diagnostic and treatment plan is generated. At this time, only routine monitoring and early warning are performed. Environmental parameter exceeding the standard is automatically triggered (such as starting ventilation equipment when ammonia concentration > 20ppm). When the vehicle stay time exceeds the limit, an alarm is sent to the management personnel. Medium-risk operation queue The system generates a diagnosis and treatment plan, which involves the control personnel in the testing area to carry out local control and resource allocation within the testing area, block the animal disease outbreak points in the testing area, and carry out epidemic prevention tasks (such as disinfection and isolation) on the diseased animals in the testing area. The system also uses the Dijkstra algorithm to plan the detour routes of other vehicles around the animal disease outbreak points, schedule disinfection equipment to prioritize the treatment of the vehicle parking area, and increase the number of shifts for quarantine personnel. High-risk operation queue ), on the basis of the diagnosis treatment scheme, emergency response and cross-regional cooperation are carried out, and the backup scheme is started: the number of animals to be transferred is calculated, the nearest available detection area is matched, and the whole area is blocked until the whole area is blocked, the diffusion path is predicted by the SEIR model, and the isolation facilities and mobile quarantine stations are deployed; At the same time, dynamic adjustment is carried out, the SEIR model is combined to predict the epidemic spread rate of the sick animals at the animal sick point, and the threshold range is adjusted in real time. For example, if the epidemic transmission rate of a certain area is greater than 0.8, the high-risk threshold is automatically lowered; In this way: If the diagnosis treatment scheme is generated, the sick animals in the detection area are prevented and treated, and the specific process is as follows: The i-th risk detection area corresponding to the diagnosis treatment scheme is recorded as the target detection area, and the percentage of the completed prevention and treatment task progress corresponding to the target detection area is obtained And the epidemic prevention warning time (The task deadline), the remaining treatment time is obtained according to the completed progress and the total processing time, and the remaining treatment time and the current time (The real-time time calculated by the system) are combined to generate the treatment completion time , the formula is as follows:

[0042]

[0043]

[0044] In the formula, The total processing time required for processing all sick animals , the total time required for processing all sick animals , the total time required for processing all sick animals The total number of animals to be prevented and treated (when the target detection area is the i-th detection area, = ); The remaining treatment time The treatment completion time The percentage of the current prevention and treatment task progress The total processing time (such as the time required for disinfection and isolation); Whether the treatment completion time Is later than the epidemic prevention warning time (The epidemic prevention warning time = preset fixed warning time + the first animal sick time of the detection area); and the epidemic prevention warning time is the "time anchor point" of epidemic prevention and control, which converts passive response into active prevention and control through three dimensions of hierarchical response, resource optimization and scientific decision-making: If the treatment completion time is later than the epidemic early warning time , then the difference between the treatment completion time and the epidemic early warning time is obtained, and is recorded as the extra time . ; The difference between the epidemic early warning time and the current time is obtained, and is recorded as the remaining early warning time , and a backup plan is generated.

[0045] The present application ensures that the epidemic task is completed within the early warning time through the extra time formula and the backup plan; dynamically adjusts the treatment duration according to the completed progress to avoid task overtime; if the treatment completion time is later than the epidemic early warning time, automatically calculates the number of animals that need to be transferred, and triggers emergency scheduling.

[0046] The determination method of the target detection area j in the backup plan is: The number of animals for additional epidemic prevention is determined according to the extra time:

[0047] In the formula, is the number of animals for additional epidemic prevention, that is, the number of animals in the current risk detection area that cannot be handled by the epidemic prevention resources within the remaining early warning time , and needs to be completed through a backup plan (such as scheduling a carrier to be transferred to other detection areas), is the extra time, is the total number of epidemic animals (that is, the total number of animals that need to complete the epidemic prevention task), Based on the number of animals for additional epidemic prevention and the remaining early warning time , the number of epidemic carriers and the distance threshold are determined:

[0048]

[0049] In the formula, is the capacity of a single epidemic carrier (the number of animals that can be transported); is the number of epidemic carriers required, and if a decimal number is generated, the number is rounded up to ensure that all animals can be transported; is the average driving speed of the carrier (such as 60 kilometers / hour); is the distance threshold, that is, the farthest distance that the carrier can reach within the remaining early warning time , is the remaining early warning time (the difference between the current time and the epidemic early warning time); According to the route threshold and the number of additional epidemic prevention animals, a nearby detection area j of the risk detection area is determined, and the epidemic prevention ability of the nearby detection area is evaluated. If the remaining capacity of the nearby detection area j , if the following conditions are met ( The remaining capacity of the nearby detection area j (the number of animals that can be received) is ( The distance from the current detection area i to the nearby detection area j is , the epidemic prevention ability meets the requirements, and the nearby detection area j is determined as the target detection area j; Obtain the history of the vehicle driving in the environment, whether the farthest driving distance of the vehicle is affected by road parameters and weather environment, if affected by road parameters and weather environment, obtain the weather influence factor , road adhesion coefficient , real-time traffic flow density ; The weather influence factor is obtained as follows: Real-time precipitation is obtained through precipitation sensors of weather stations or meteorological satellite remote sensing data (such as GPM satellite), and is mapped to a value from 0 (no precipitation) to 1 (heavy rain) according to the grade, so as to obtain the precipitation grade (range [0, 1]); The precipitation grade and wind speed are generated by using the weighted average method to generate the weather influence factor; Obtain the road adhesion coefficient: deploy a friction coefficient detection vehicle (such as a trailer type measurement vehicle), obtain the road static adhesion coefficient through braking test, and upload to the cloud for vehicle calling; Real-time traffic flow density acquisition: real-time statistics of road vehicle number through camera, geomagnetic sensor or radar, combined with GIS traffic network data to calculate the vehicle density in unit area; The road parameters to the target detection area j are calculated;

[0050] In the formula: The road parameters to the target detection area j (0-1), The road adhesion coefficient is The real-time traffic flow density from the current detection area i to the target detection area j; Indicates the maximum traffic flow density of the road section from the current detection area i to the target detection area j in the completely congested state, that is, the upper limit of the number of vehicles that can be accommodated per unit length (such as per kilometer) or unit area; The weather influence factor (such as precipitation grade mapping [0, 1]) 、 、 is a weight coefficient, 、 、 adds up to 1; Obtain whether the actual maximum driving distance of the transport allocation vehicle is affected by the suspension failure, temperature control device failure and endurance mileage of the vehicle during driving. If it is affected by the state of the transport allocation vehicle, obtain the remaining endurance mileage of the current epidemic prevention vehicle , cargo compartment temperature fluctuation amplitude , suspension system health ; The specific steps of obtaining the remaining endurance mileage of the current epidemic prevention vehicle are as follows: Real-time acquisition of the remaining battery capacity (SOC) through the vehicle-mounted battery management system; Calculate the remaining endurance mileage according to the historical driving data of the vehicle (such as 100 km power consumption); The specific steps of obtaining the cargo compartment temperature fluctuation amplitude of the current epidemic prevention vehicle are as follows: Install multiple point temperature sensors in the cargo compartment to monitor the temperature changes at each position in the compartment in real time; Record the temperature data every 5 minutes and calculate the temperature fluctuation amplitude in unit time; if the temperature in the compartment rises from 2°C to 5°C within 1 hour, the temperature fluctuation amplitude is 3°C / h; The specific steps of obtaining the suspension system health of the current epidemic prevention vehicle are as follows: Detect the vibration frequency and amplitude of the suspension system through the accelerometer, and obtain the vibration data by weighted summation of the vibration frequency and amplitude; Monitor the stroke and load size of the suspension system, and obtain the system mechanical parameter by weighted division of the stroke of the suspension system and the load size of the suspension system; Combine the suspension system vibration data and mechanical parameters, and generate the suspension system health score (0-1) of the current epidemic prevention vehicle by weighted summation. If the score is less than 0.6, it prompts maintenance; The working condition parameters of the current epidemic prevention vehicle are calculated as follows:

[0051]

[0052] In the formula: is the working condition parameter of the current epidemic prevention vehicle (0-1 standardization), is the remaining endurance mileage of the current epidemic prevention vehicle, represents the maximum theoretical driving distance of the vehicle under full energy state (such as full power, full oil), unit: kilometers or miles; the temperature fluctuation range of the current epidemic prevention vehicle's cargo compartment, the upper limit of the temperature fluctuation range of the cargo compartment, usually expressed in temperature change range (such as ℃ / h) per unit time (such as hour); the suspension system health of the current epidemic prevention vehicle (0-1 standardization), the effective speed of the current epidemic prevention vehicle; the average driving speed of the vehicle; According to the road surface parameters of the target detection area j and the working condition parameters of the current epidemic prevention vehicle, the effective speed of the current epidemic prevention vehicle is determined, and the delivery time of the current epidemic prevention vehicle is obtained. The delivery time of the current epidemic prevention vehicle is compared with the remaining warning time:

[0053]

[0054] In the formula: the delivery time of the current epidemic prevention vehicle, the distance from the current detection area i to the nearby detection area j, the remaining warning time; If the delivery time of the current epidemic prevention vehicle is not greater than the remaining warning time, the target detection area j is the final delivery area.

[0055] Through the dynamic resource scheduling mechanism, the animal epidemic prevention transportation task is significantly improved in efficiency and reliability. First, based on the remaining warning time and the gap of the current detection area epidemic prevention resources, the system dynamically calculates the number of animals that need to be transferred, and accurately matches the vehicle demand through the ceiling method to ensure full coverage of transportation capacity and avoid epidemic delay due to insufficient resources. At the same time, combined with the average speed of the vehicle and the remaining warning time, the maximum drivable distance is calculated, and the nearby detection area with sufficient remaining capacity and appropriate distance is preferentially selected as the target to optimize the resource allocation path; In terms of environmental risk response, the system integrates meteorological satellite precipitation data, ultrasonic wind speed monitoring and real-time traffic flow information to dynamically generate meteorological influence factors and road adhesion coefficients, such as automatically reducing the expected speed of the vehicle in heavy rain to avoid wet and slippery risks. Through the road adhesion coefficient, meteorological influence factor and real-time traffic flow density, the road surface parameters of the target detection area j are obtained. For the health status of the current epidemic prevention vehicle, the on-board battery management system monitors the remaining battery capacity in real time, and combines the historical energy consumption model and real-time working condition to correct the endurance prediction. The multi-point temperature sensor in the cargo compartment records the temperature fluctuation every 5 minutes to ensure the stability of vaccines and other materials. The suspension system generates a health score through vibration data and mechanical parameters, and triggers a maintenance warning when the score is below 0.6 to prevent mechanical failure from interrupting transportation; The effective driving speed is dynamically calculated by fusing the road parameters and the working conditions of the vehicle, for example, the speed is automatically limited when the suspension health is low to balance safety and timeliness, and the target area accessibility is determined by intelligently comparing the delivery time and the remaining warning time; if the time is exceeded, the path re-planning or the standby vehicle scheduling is automatically triggered to ensure the task is completed on time.

[0056] The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can make equivalent replacement or change within the technical range disclosed by the present application according to the technical animal disease port remote real-time monitoring and early warning system and the inventive concept of the present application, which should be covered within the protection scope of the present application.

Claims

1. An animal epidemic port remote real-time monitoring and early warning system, characterized in that, The state evaluation module is used for acquiring real-time parameters of each detection area in the animal port to determine a risk state index of the detection area of the animal port The real-time parameters include: the environmental comprehensive value, the real-time flow value of human and livestock, the epidemic space density value, and the total value of the carrier risk; wherein the animal port is comprehensively evaluated according to the risk state index, and the animal port is divided into a safe queue and a risk operation queue; further comprising: a risk monitoring and control module for obtaining the risk operation queue and diagnosing the risk level of the risk detection area in the risk operation queue, generating a diagnosis disposal scheme based on the diagnosis result; if the diagnosis disposal scheme is generated, planning other vehicles to bypass the animal disease point path, performing epidemic prevention tasks on the sick animals in the risk detection area, and judging whether to generate a backup scheme, and clearly defining the percentage of the epidemic prevention task progress and the epidemic prevention warning time to execute control on the risk detection area.

2. The animal epidemic port real-time remote monitoring and early warning system according to claim 1, characterized in that, The acquisition steps of the environmental comprehensive value are as follows: SA. The entire animal port is divided into multiple detection areas according to the traffic route, and a monitoring time period is constructed, including multiple monitoring time points; SB. record the temperature data of each detection area, each monitoring time point under the same monitoring time period , humidity data , ammonia concentration , hydrogen sulfide concentration ; SC. Extract the temperature data, humidity data, ammonia concentration, and hydrogen sulfide concentration of each detection area in the same monitoring time period at each monitoring time point, and calculate their average values respectively; SD. Calculate the environmental comprehensive value of each detection area.

3. The animal epidemic port real-time monitoring and early warning system according to claim 2, characterized in that, The acquisition steps of the real-time flow value of human and livestock are as follows: execute step SA; YB. Record the number of people in each detection area and the number of animals in the same monitoring period at each monitoring time point ; and ; YC. Extract the number of regional personnel and the number of regional animals in each detection area in the same monitoring time period at each monitoring time point, and calculate their average values respectively; YD. Calculate the real-time flow value of people and livestock in each detection area .

4. The animal epidemic port real-time monitoring and early warning system according to claim 3, characterized in that, The acquisition steps of the epidemic space density value are as follows: execute step SA; ZB. Record the number of sick animals and the coordinates of sick points in each detection area in the same monitoring time period at each monitoring time point respectively; ZC. Extract the number of sick animals and the coordinates of sick points in each detection area in the same monitoring time period at each monitoring time point; ZD. Calculate the total number of sick animals in the detection area and the average distance from the center point of the detection area to the position of the sick point, thereby calculating the epidemic space density value of the ith detection area.

5. The animal epidemic port real-time monitoring and early warning system according to claim 4, characterized in that, The acquisition steps of the total value of the carrier risk are as follows: execute step SA; In each detection area, at each monitoring time point in the same monitoring time period, the residence time of each carrier entering the detection area is obtained through GPS positioning , disinfection state value , load ; based on the carrier risk value of each carrier staying time, disinfection state value, and load, sum the carrier risk values of all carriers in the same monitoring time period to obtain the total value of the carrier risk of the detection area.

6. The animal epidemic port real-time remote monitoring and early warning system according to claim 5, characterized in that, the risk status index at generation, obtaining a risk threshold and performing a determination as follows: when the risk state index is not greater than the risk threshold value, the risk state index is determined to be in a safe state The corresponding detection area is recorded as a safe detection area, and a safe operation queue is constructed. When the risk state index is greater than the risk threshold, the The corresponding detection area is recorded as a risk detection area, and a risk operation queue is constructed.

7. The animal epidemic port real-time remote monitoring and early warning system according to claim 6, characterized in that, The specific method for performing epidemic prevention tasks on sick animals in the risk detection area and judging whether to generate a backup scheme is: Corresponding to the diagnostic treatment scheme, the risk detection area is recorded as the target detection area, and the corresponding completed progress of the target detection area is obtained And epidemic prevention early warning time According to the completed progress and the total processing time, the remaining treatment time is obtained, and the remaining treatment time is combined with the current time to generate a treatment completion time Whether the treatment completion time is later than the epidemic prevention early warning time: if the disposal completion time is later than the epidemic prevention warning time, the difference between the disposal completion time and the epidemic prevention warning time is obtained and recorded as the extra time, the difference between the epidemic prevention warning time and the current time is obtained and recorded as the remaining warning time, and a backup scheme is generated.

8. The animal epidemic port real-time remote monitoring and early warning system according to claim 7, characterized in that, The determination method of the target detection area j in the backup scheme is: determine the number of animals for additional epidemic prevention according to the extra time, determine the number of epidemic prevention vehicles and the distance threshold based on the number of animals for additional epidemic prevention and the remaining warning time; According to the distance threshold and the number of additional epidemic prevention animals, a nearby detection area j of the risk detection area is determined, and the epidemic prevention capacity of the nearby detection area is evaluated. If the remaining capacity of the nearby detection area j is not less than the number of additional epidemic prevention animals, and the distance is not greater than the distance threshold, the epidemic prevention capacity is up to standard, and the nearby detection area j is determined as the target detection area j.

9. The animal epidemic port real-time remote monitoring and early warning system according to claim 8, characterized in that, The backup solution further includes the following steps: Obtain whether the farthest driving distance of the vehicle is affected by road parameters and meteorological environment under the historical environment of driving, if affected by road parameters and meteorological environment, obtain the meteorological influence factor, road adhesion coefficient, real-time traffic flow density from the risk detection area to the target detection area j, thereby calculating the road surface parameters to the target detection area j; Obtain whether the actual maximum driving distance of the vehicle is affected by the suspension failure, temperature control equipment failure and endurance mileage of the vehicle during the driving process of the transportation allocation, if affected by the state of the transportation allocation vehicle, obtain the remaining endurance mileage of the current epidemic prevention vehicle, the temperature fluctuation range of the cargo compartment, and the suspension system health degree, thereby calculating the working condition parameters of the current epidemic prevention vehicle; According to the road surface parameters to the target detection area j and the working condition parameters of the current epidemic prevention vehicle, the effective speed of the current epidemic prevention vehicle is determined, thereby obtaining the transportation time of the current epidemic prevention vehicle, and comparing the transportation time of the current epidemic prevention vehicle with the remaining warning time: If the transportation time of the current epidemic prevention vehicle is not greater than the remaining warning time, the target detection area j is the final transportation area.

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