City intelligent management platform based on video monitoring

Abstract

The invention belongs to the technical field of urban intelligent management, and relates to an urban intelligent management platform based on video monitoring. According to the invention, by analyzing the sanitation worker scheduling requirements of the sub-regions to which the various types of regions of the target city belong, the regions needing to be cleaned preferentially can be accurately judged, the waste of manpower and material resources is avoided, the environmental pollution is reduced, and the living quality of residents is improved. By analyzing the health evaluation feedback index of each sub-region to which each type of region of the target city belongs, the fine management of urban environmental sanitation is realized, the efficiency and quality of environmental sanitation work are improved, problems can be found in time, targeted measures can be taken, and the economic benefit is improved. By analyzing the work evaluation feedback index of each sanitation worker in each sub-region to which each type of region of the target city belongs, the work quality and efficiency of the sanitation workers are intuitively known, and problems and defects can be found, so that targeted measures are adopted for improvement, and the overall sanitation work quality is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban smart management and relates to an urban smart management platform based on video monitoring. Background Art

[0002] With the acceleration of urbanization and the continuous improvement of people's requirements for the quality of living environment, urban environmental sanitation management is facing greater and greater challenges. Environmental sanitation is extremely important for human life, social development and ecological balance. A clean and tidy environment can reduce the risk of disease transmission and is conducive to ensuring people's health. Good environmental sanitation is also one of the important signs of urban civilization. Therefore, the urban environmental sanitation analysis and management system based on video surveillance is of great significance and role.

[0003] Traditional urban sanitation management mostly uses methods such as manual inspections and video surveillance. However, traditional urban sanitation management cannot accurately determine the areas that need to be cleaned first, which cannot avoid the waste of manpower and material resources and also causes the problem of inefficiency.

[0004] Traditional urban sanitation management monitors and divides urban environmental sanitation, but it has problems such as slow response speed and weak information processing capabilities, and is unable to analyze data in real time and make timely processing and early warnings. This is not conducive to the refined management of urban environmental sanitation and improving the efficiency and quality of sanitation work. It is also impossible to intuitively understand the work quality and efficiency of sanitation personnel, and then discover problems and deficiencies in the work, so as to take targeted measures to improve them. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a city smart management platform based on video surveillance is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a city smart management platform based on video surveillance, including: a regional division module, a sanitation data analysis module, a sanitation personnel scheduling management module, an environmental sanitation data analysis module, a sanitation personnel data analysis module, a regional sanitation management module and a cloud database.

[0007] The regional division module is used to obtain the historical sanitation data of the target city, and divide the target city into regions based on the data to obtain the sub-regions belonging to each type of region in the target city.

[0008] The sanitation data analysis module is used to obtain the sanitation data of the current date and current time period of each sub-area of ​​each type of area in the target city, and analyze the scheduling needs of sanitation personnel in each sub-area of ​​each type of area in the target city. If there is a scheduling need, the sanitation personnel scheduling management module is executed, otherwise, the environmental sanitation data analysis module is executed.

[0009] The sanitation personnel scheduling management module is used to schedule sanitation personnel in each sub-area belonging to each type of area in the target city where the sanitation personnel scheduling demand is required.

[0010] The environmental sanitation data analysis module is used to obtain the environmental sanitation data of each sub-region of each type of area in the target city, and analyze the sanitation evaluation feedback indicators of each sub-region of each type of area in the target city.

[0011] The sanitation personnel data analysis module is used to obtain the sanitation personnel data of each sub-region of each type of area in the target city, and analyze the work evaluation feedback indicators of each sanitation personnel in each sub-region of each type of area in the target city.

[0012] The regional sanitation management module is used to analyze and obtain the dynamic scheduling plan of each sanitation worker in each sub-region of each type of area in the target city based on the health evaluation feedback indicators of each sub-region of each type of area in the target city and the work evaluation feedback indicators of each sanitation worker in each sub-region of each type of area in the target city.

[0013] The cloud database is used to store the historical sanitation data of the target city, the standard garbage carrying capacity of each garbage transfer station and the standard garbage carrying capacity of each garbage bin in the current date and current period of each sub-region of each type of area in the target city, the sanitation personnel scheduling demand indicator range corresponding to each sanitation personnel scheduling demand level, and the standard garbage bin distribution density of each sub-region of each type of area in the target city on each date.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By analyzing the dispatch needs of sanitation workers in each sub-area of ​​each type of area in the target city, the present invention helps to accurately determine the areas that need to be cleaned first, avoids the waste of manpower and material resources, reduces environmental pollution, improves the quality of life of residents, and is also conducive to the rational allocation of the number of sanitation workers and working hours to ensure the maximum utilization of resources.

[0015] 2. The present invention obtains the environmental sanitation data of each sub-region belonging to each type of area in the target city and analyzes the health evaluation feedback indicators of each sub-region belonging to each type of area in the target city, which is conducive to the refined management of urban environmental sanitation, helps decision makers to adjust resource allocation according to actual needs, improves the efficiency and quality of sanitation work, and also helps to discover problems in time and take targeted measures, helping urban managers optimize the allocation of sanitation resources.

[0016] 3. The present invention obtains the data of sanitation workers in each sub-area of ​​each type of area in the target city, analyzes the work evaluation feedback indicators of each sanitation worker in each sub-area of ​​each type of area in the target city, and evaluates and provides feedback on the work of sanitation workers. This helps to intuitively understand the work quality and efficiency of sanitation workers, and is conducive to discovering problems and deficiencies in the work, so as to take targeted measures to make improvements and improve the overall quality of sanitation work.

[0017] 4. The present invention helps to accurately grasp the sanitation work needs of each type of area and each sub-area by analyzing the dynamic scheduling plan of each sanitation personnel in each sub-area of ​​each type of area in the target city, so as to reasonably allocate sanitation equipment, materials and human resources, which is conducive to significantly improving the environmental sanitation quality of the city and providing residents with a more livable living environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1As shown, the present invention provides a city smart management platform based on video surveillance, and the specific modules are distributed as follows: regional division module, sanitation data analysis module, sanitation personnel scheduling management module, environmental sanitation data analysis module, sanitation personnel data analysis module, regional sanitation management module and cloud database. Among them, the connection between the modules includes: the regional division module is connected to the sanitation data analysis module, the sanitation data analysis module is respectively connected to the sanitation personnel scheduling management module and the environmental sanitation data analysis module, the environmental sanitation data analysis module is respectively connected to the sanitation personnel data analysis module and the regional sanitation management module, the sanitation personnel data analysis module is connected to the regional sanitation management module, and the cloud database is respectively connected to the sanitation data analysis module, the environmental sanitation data analysis module and the sanitation personnel data analysis module.

[0022] The regional division module is used to obtain the historical sanitation data of the target city, and divide the target city into regions based on the data to obtain the sub-regions belonging to each type of region in the target city.

[0023] As a preferred feasibility example, the historical sanitation data of the target city includes the area type and garbage generation amount of each sub-area.

[0024] It should be further explained that the reasons for using the regional type and garbage generation of each sub-region as the historical sanitation data of the target city are: (1) Different regional types have different sanitation management needs. Commercial areas may face higher garbage generation and more frequent cleaning needs, while residential areas may pay more attention to daily cleaning and the promotion of garbage classification. Understanding the regional type of each sub-region will help to formulate differentiated sanitation management strategies and improve management efficiency. (2) Historical garbage generation data is an important basis for analyzing the trend of urban garbage generation. By comparing the garbage generation in different time periods and different regions, we can identify the seasonal and cyclical changes in garbage generation, as well as the differences between different regions. This helps to predict future garbage generation and provide early warning and preparation for sanitation work.

[0025] It needs to be further explained that the specific method of obtaining the area type and garbage generation amount of each sub-area of ​​the target city is: directly extracting the area type and garbage generation amount of each sub-area of ​​the target city from the cloud database.

[0026] As a preferred feasibility example, the specific acquisition method of each sub-region to which each type of region of the target city belongs includes: extracting the region type and garbage generation amount of each sub-region of the target city.

[0027] The sub-regions of the target city are classified according to their regional types to obtain the sub-regions corresponding to the various types of regions of the target city. The garbage generation amounts of the sub-regions of the target city are further screened to obtain the garbage generation amounts corresponding to the various types of regions of the target city. The sub-regions of the target city are divided according to the garbage generation amounts to obtain the sub-regions to which the various types of regions belong.

[0028] A specific example is that the garbage generation amount of each sub-area corresponding to a certain type of area in the target city is 65 tons, 70 tons, 50 tons, 80 tons and 75 tons respectively. Then, according to 65 tons, 70 tons, 50 tons, 80 tons and 75 tons, the 65-ton sub-area, 70-ton sub-area, 50-ton sub-area, 80-ton sub-area and 75-ton sub-area belonging to this type of area in the target city are further recorded as the sub-areas belonging to this type of area in the target city.

[0029] The sanitation data analysis module is used to obtain the sanitation data of the current date and current time period of each sub-area of ​​each type of area in the target city, and analyze the scheduling needs of sanitation personnel in each sub-area of ​​each type of area in the target city. If there is a scheduling demand, the sanitation personnel scheduling module is executed, otherwise, the environmental sanitation data analysis module is executed.

[0030] As a preferred feasibility example, the sanitation data of each sub-area belonging to each type of area in the target city on the current date and current time period includes the amount of garbage in each garbage bin, the amount of garbage in each garbage transfer station, the presence of leakage and odor, and the area of ​​road waste.

[0031] It is necessary to further explain that the reasons for using the amount of garbage in each garbage bin, the amount of garbage in each garbage transfer station, the presence of leakage and odor, and the area of ​​road waste as the sanitation data of each sub-region of each type of area in the target city for the current date and current period are: (1) The amount of garbage in the garbage bin directly reflects the total amount of garbage generated by residents or commercial activities in the area, and is an important indicator for evaluating the regional garbage generation rate, garbage disposal capacity and garbage classification effect. (2) The amount of garbage in the garbage transfer station. As a key node for garbage collection and transportation, the garbage volume data of the transfer station is of great significance for optimizing garbage transportation routes, adjusting garbage collection and transportation frequency, and preventing transfer station overload. (3) Leakage refers to the seepage of garbage liquid in the garbage bin or transfer station, which may cause pollution to the environment. Monitoring the presence of leakage helps to timely discover and deal with pollution sources and protect the surrounding environment. (4) Odor is a common problem in the garbage disposal process, which not only affects the quality of life of residents, but also may have a negative impact on air quality. Monitoring the presence of odor helps to take timely measures to reduce or eliminate odor and improve the living environment of residents. (5) The area of ​​road waste reflects the regional environmental sanitation status and is an important indicator for evaluating the level of urban management, the civilized quality of residents and the effectiveness of sanitation work.

[0032] It needs to be further explained that the specific method of obtaining the amount of garbage in each garbage bin and the amount of garbage in each garbage transfer station in each sub-area belonging to each type of area of ​​the target city on the current date and current time period is: using the deployed high-definition cameras to conduct real-time detection of the current date and current time period of each sub-area belonging to each type of area of ​​the target city, and obtaining the video of the current date and current time period of each sub-area belonging to each type of area of ​​the target city.

[0033] Image recognition technology is used to obtain the garbage height of each garbage bin in each sub-region of each type of area in the target city on the current date and current time period, and it is matched with the garbage height corresponding to the garbage amount of each garbage bin in each sub-region of each type of area in the target city stored in the cloud database to obtain the garbage amount of each garbage bin in each sub-region of each type of area in the target city on the current date and current time period.

[0034] Image recognition technology is used to obtain the garbage accumulation height of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current time period, and further matched it with the garbage accumulation height corresponding to each garbage amount of each garbage transfer station in each sub-region of each type of area in the target city stored in the cloud database to obtain the garbage amount of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current time period.

[0035] The specific method for obtaining the leakage existence and odor existence of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current time period is: using image recognition technology to analyze the video of each sub-region of each type of area in the target city on the current date and current time period, obtain the ground picture of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current time period, and match it with the ground stain pictures stored in the cloud database; if the ground picture of a garbage transfer station in a sub-region of a certain type of area in the target city on the current date and current time period successfully matches a ground stain picture stored in the cloud database, then the leakage existence of the garbage transfer station in the sub-region of the target city on the current date and current time period is recorded as existing; otherwise, the leakage existence of the garbage transfer station in the sub-region of the target city on the current date and current time period is recorded as not existing.

[0036] According to the deployed odor sensors, each garbage transfer station of each sub-region of each type of area in the target city is directly detected on the current date and during the current time period. If the value of the odor sensor of a garbage transfer station of a sub-region of a certain type of area in the target city on the current date and during the current time period is not 0, then the existence of the odor of the garbage transfer station of the sub-region of the type of area in the target city on the current date and during the current time period is recorded as existing; if the value of the odor sensor of a garbage transfer station of a sub-region of a certain type of area in the target city on the current date and during the current time period is 0, then the existence of the odor of the garbage transfer station of the sub-region of the type of area in the target city on the current date and during the current time period is recorded as not existing.

[0037] The specific method for obtaining the road waste area of ​​each sub-region belonging to each type of area in the target city on the current date and during the current time period is: using image recognition technology to analyze the video of each sub-region belonging to each type of area in the target city on the current date and during the current time period, to obtain the road surface pictures of each sub-region belonging to each type of area in the target city on the current date and during the current time period, and further using image analysis technology to obtain the road waste area of ​​each sub-region belonging to each type of area in the target city on the current date and during the current time period.

[0038] As a preferred feasibility example, in the process of analyzing the dispatch demand of sanitation personnel in each sub-region of each type of area in the target city, it is necessary to construct the dispatch demand index of sanitation personnel in each sub-region of each type of area in the target city. The specific analysis method includes: extracting the garbage volume, leakage existence and odor existence of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current period, analyzing the garbage transfer station evaluation index WEI of each sub-region of each type of area in the target city on the current date and current period ab , where a=1, 2, ..., A, a is the number of each type of area, A is the number of type areas, b=1, 2, ..., B, b is the number of each sub-area, B is the number of sub-areas.

[0039] Extract the garbage volume of each trash can and the road waste area of ​​each sub-area of ​​each type of area in the target city on the current date and time period, and record them as TWM abj 、PWS ab , where j=1,2,...,J, j is the number of each trash can, and J is the number of trash cans.

[0040] Analyze the sanitation personnel dispatch demand indicators of each sub-region of each type of area in the target city Among them, TWM a ' bjThe standard garbage carrying capacity of the jth garbage bin in the bth sub-area of ​​the ath type area of ​​the target city in the current date and current period is extracted from the cloud database, and PWS0 is the set permitted road waste area.

[0041] It should be further explained that the set permitted road waste area can be set to 0.01 square meters, which means that each sub-area belonging to each type of area in the target city is allowed to have 0.01 square meters of waste.

[0042] As a preferred feasibility example, the garbage transfer station evaluation index of each sub-region of each type of area in the target city on the current date and current period is specifically analyzed in the following manner: extracting the leakage existence and odor existence of each garbage transfer station of each sub-region of each type of area in the target city on the current date and current period, analyzing them according to predefined principles to obtain the leakage existence index and odor existence index of each garbage transfer station of each sub-region of each type of area in the target city on the current date and current period, which are recorded as LEI respectively. abf 、OPI abf , where f = 1, 2, ..., F, f is the number of each garbage transfer station, and F is the number of garbage transfer stations.

[0043] It should be further explained that the specific content of the predefined principle for obtaining the leakage existence index and odor existence index of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current time period is as follows: if the leakage existence of a garbage transfer station in a sub-region of a certain type of area in the target city on the current date and current time period is existence, then the leakage existence index of the garbage transfer station in the sub-region of the type of area in the target city on the current date and current time period is recorded as 1; otherwise, the leakage existence index of the garbage transfer station in the sub-region of the type of area in the target city on the current date and current time period is recorded as 0, thereby obtaining the leakage existence index LEI of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current time period. abf .

[0044] Similarly, the odor presence index OPI of each garbage transfer station in each sub-area of ​​each type of area in the target city on the current date and in the current period can be obtained. abf .

[0045] Extract the garbage volume SWM of each garbage transfer station in each sub-area of ​​each type of area in the target city on the current date and in the current period abf .

[0046] Analyze the garbage transfer station evaluation index of each sub-region of each type of area in the target city on the current date and time period Among them SWMa ' bf It is the standard garbage carrying capacity of the fth garbage transfer station in the bth sub-area of ​​the ath type area of ​​the target city extracted from the cloud database on the current date and in the current period.

[0047] As a preferred feasibility example, the specific analysis method of the sanitation personnel scheduling demand of each sub-region belonging to each type of area in the target city includes: extracting the sanitation personnel scheduling demand indicators of each sub-region belonging to each type of area in the target city, and matching them with the sanitation personnel scheduling demand indicator ranges corresponding to each sanitation personnel scheduling demand level stored in the cloud database to obtain the sanitation personnel scheduling demand level of each sub-region belonging to each type of area in the target city.

[0048] If the sanitation personnel dispatching demand level of a sub-region of a certain type of area in the target city is level one or level two, the sanitation personnel dispatching demand of the sub-region of the same type of area in the target city shall be recorded as a dispatching demand; if the sanitation personnel dispatching demand level of a sub-region of a certain type of area in the target city is level three, the sanitation personnel dispatching demand of the sub-region of the same type of area in the target city shall be recorded as a dispatching demand not required.

[0049] The sanitation personnel scheduling management module is used to schedule sanitation personnel in each sub-area belonging to each type of area in the target city where the sanitation personnel scheduling demand is required.

[0050] As a preferred feasibility example, the specific operation of dispatching sanitation workers to each sub-area belonging to each type of area of ​​the target city that requires dispatching sanitation workers includes: according to the sanitation workers dispatching demand level of each sub-area belonging to each type of area of ​​the target city, sanitation workers near the corresponding area are preferentially dispatched to carry out cleaning and maintenance.

[0051] Further analysis is performed on the scheduling needs of sanitation workers in each sub-area of ​​each type of area in the target city that needs scheduling, until the scheduling demand level of sanitation workers reaches level three.

[0052] By analyzing the dispatch needs of sanitation workers in each sub-area of ​​each type of area in the target city, the present invention helps to accurately determine the areas that need to be cleaned first, avoids the waste of manpower and material resources, reduces environmental pollution, improves the quality of life of residents, and is also conducive to the reasonable allocation of the number of sanitation workers and working hours to ensure the maximum utilization of resources.

[0053] The environmental sanitation data analysis module is used to obtain the environmental sanitation data of each sub-region of each type of area in the target city, and analyze the sanitation evaluation feedback indicators of each sub-region of each type of area in the target city.

[0054] As a preferred feasibility example, the environmental sanitation data of each sub-area belonging to each type of area in the target city includes the density of garbage bin distribution and the number of sanitation personnel scheduling requirements on each date.

[0055] It should be further explained that the reasons for using the density of garbage bins and the number of sanitation workers dispatching needs on each date as the environmental sanitation data of each sub-region of each type of area in the target city are: (1) The density of garbage bins directly reflects the allocation of sanitation resources in the region. Reasonable distribution density can ensure that garbage is collected and processed in a timely manner, avoiding garbage accumulation and environmental pollution. By regularly monitoring the density of garbage bins, unreasonable layouts can be discovered and adjusted in a timely manner, resource allocation can be optimized, and the efficiency and quality of sanitation work can be improved. (2) The number of sanitation workers dispatching needs is an important indicator for measuring the workload of sanitation. By analyzing the number of sanitation workers dispatching needs, the working hours and work tasks of sanitation workers can be reasonably arranged, the waste and idleness of human resources can be avoided, and the overall work efficiency can be improved.

[0056] It needs to be further explained that the specific method of obtaining the trash can distribution density on each date in each sub-region belonging to each type of area in the target city is: using the deployed high-definition cameras to capture the video of each sub-region belonging to each type of area in the target city on each date, and further performing video extraction technology on it, thereby obtaining the number and area of ​​trash cans on each date in each sub-region belonging to each type of area in the target city, and then dividing the number of trash cans on each date in each sub-region belonging to each type of area in the target city by its corresponding area, and the quotient is recorded as the trash can distribution density on each date in each sub-region belonging to each type of area in the target city.

[0057] The specific method for obtaining the number of sanitation personnel dispatching requirements on each date in each sub-region of each type of region in the target city is: directly extracting the number of sanitation personnel dispatching requirements on each date in each sub-region of each type of region in the target city from the cloud database.

[0058] As a preferred feasibility example, the sanitation evaluation feedback indicators of each sub-region of each type of area in the target city are specifically analyzed by extracting the garbage bin distribution density and the number of sanitation personnel scheduling requirements of each sub-region of each type of area in the target city on each date, which are recorded as DD abd ,RM abd , where d = 1, 2, ..., D, d is the number of dates, and D is the number of dates.

[0059] Analyze the health evaluation feedback indicators of each sub-region of each type of area in the target city where DD a ' bdThe standard trash bin distribution density of the bth sub-area of ​​the ath type area of ​​the target city on the dth date is extracted from the cloud database. DD0 is the permitted difference between the set trash bin distribution density and the standard trash bin distribution density. RM0 is the set permitted number of sanitation personnel scheduling requirements.

[0060] It should be further explained that the set number of permitted sanitation worker dispatching demands may be set to 2, which means that 2 sanitation worker dispatching demands are allowed on each date in each sub-area of ​​each type of area in the target city.

[0061] The present invention obtains the environmental sanitation data of each sub-region belonging to each type of area in the target city and analyzes the sanitation evaluation feedback indicators of each sub-region belonging to each type of area in the target city, which is conducive to the refined management of urban environmental sanitation, helps decision makers to adjust resource allocation according to actual needs, improves the efficiency and quality of sanitation work, and also helps to discover problems in time and take targeted measures, helping urban managers optimize the allocation of sanitation resources.

[0062] The sanitation personnel data analysis module is used to obtain the sanitation personnel data of each sub-region of each type of area in the target city, and analyze the work evaluation feedback indicators of each sanitation personnel in each sub-region of each type of area in the target city.

[0063] As a preferred feasibility example, the sanitation personnel data of each sub-area belonging to each type of area in the target city includes the timeliness of garbage collection, the cleanliness of garbage collection and the breadth of garbage collection areas of each sanitation personnel on each date.

[0064] It is necessary to further explain that the reasons for using the timeliness, cleanliness and area coverage of garbage collection by each sanitation worker on each date as the sanitation worker data for each sub-region of each type of area in the target city are: (1) Urban environmental sanitation is directly related to the quality of life of residents. By monitoring the timeliness of garbage collection by sanitation workers, it is possible to ensure that garbage does not accumulate or remain, thereby reducing the negative impact of garbage on the living environment of residents. (2) By evaluating the cleanliness and area coverage of garbage collection by sanitation workers, sanitation workers with high work efficiency and excellent performance can be identified, setting an example for other personnel, and optimizing personnel allocation and scheduling plans accordingly. (3) Using the timeliness, cleanliness and area coverage of garbage collection as assessment indicators can quantify the work performance of sanitation workers and provide an objective basis for performance assessment. It is also conducive to timely discovering problems and deficiencies in sanitation work, providing data support for formulating improvement measures, and promoting the continuous improvement of sanitation management level.

[0065] It needs to be further explained that the specific method for obtaining the timeliness of garbage cleaning by each sanitation worker on each date in each sub-area of ​​each type of area in the target city is as follows: using the deployed high-definition cameras to conduct real-time detection of the road surface in the area responsible for each sanitation worker in each sub-area of ​​each type of area in the target city on each date, to obtain the video of the area responsible for each sanitation worker in each sub-area of ​​each type of area in the target city on each date, and further using the video analysis technology to obtain the time points of each garbage appearance and cleaning on the road surface in the area responsible for each sanitation worker in each sub-area of ​​each type of area in the target city on each date, and subtracting the time points of each garbage cleaning on the road surface in the area responsible for each sanitation worker in each sub-area of ​​each type of area in the target city on each date from the corresponding time points of appearance, to obtain the interval duration Interval of each garbage cleaning on the road surface in the area responsible for each sanitation worker in each sub-area of ​​each type of area in the target city on each date. abdiq , where i = 1, 2, ..., I, i is the number of sanitation workers, I is the number of sanitation workers, q = 1, 2, ..., Q, q is the number of garbage cleaning, Q is the number of garbage cleaning, and the timeliness of garbage cleaning by each sanitation worker on each date in each sub-area of ​​each type of area in the target city is analyzed Interval0 is the set garbage cleanup permission interval.

[0066] It should be further explained that the set garbage cleaning permission interval can be set to 30 minutes, which means that each sanitation worker in each sub-area of ​​each type of area in the target city is allowed to have a certain reaction time on each date to clean up the garbage on the road in the area under his / her responsibility.

[0067] The specific method for obtaining the garbage cleaning cleanliness of each sanitation worker on each date in each sub-region of each type of area in the target city is as follows: using video analysis technology to extract from the video of the area in charge of each sanitation worker on each date in each sub-region of each type of area in the target city, obtain the garbage area WasteS detected at each time in the road surface picture of the area in charge of each sanitation worker on each date in each sub-region of each type of area in the target city. abdir , where r = 1, 2, ..., R, r is the number of each test, R is the number of tests, and the garbage cleaning cleanliness of each sanitation worker on each date in each sub-area of ​​each type of area in the target city is analyzed WasteS0 is the permitted garbage area in the set road surface image.

[0068] It should be further explained that the permitted garbage area in the set road surface image can be set to 0.01 square meters, which means that 0.01 square meters of garbage is allowed to exist in the area under the responsibility of each sanitation worker on each date in each sub-area of ​​each type of area in the target city.

[0069] The specific method for obtaining the garbage cleaning area extent of each sanitation worker on each date in each sub-region of each type of area in the target city is as follows: using video analysis technology to extract from the video of the area in charge of each sanitation worker on each date in each sub-region of each type of area in the target city, obtain the garbage cleaning range area RangeS of each detection in the road surface picture of the area in charge of each sanitation worker on each date in each sub-region of each type of area in the target city. abdir , analyze the extent of garbage cleaning areas of each sanitation worker in each sub-area of ​​each type of area in the target city on each date Where RangeS a ' bdi The standard garbage cleaning area of ​​the area under the responsibility of the ith sanitation worker on the dth date in the bth sub-area of ​​the ath type area of ​​the target city extracted from the cloud database.

[0070] As a preferred feasibility example, the work evaluation feedback indicators of each sanitation worker in each sub-region of each type of area in the target city are specifically analyzed in the following manner: extracting the garbage cleaning timeliness, garbage cleaning cleanliness and garbage cleaning area breadth of each sanitation worker in each sub-region of each type of area in the target city on each date, and recording them as Time abdi 、Clean abdi WR abdi , where i=1,2,...,I, i is the number of each sanitation worker, and I is the number of sanitation workers.

[0071] Analyze the work evaluation feedback indicators of sanitation workers in each sub-region of each type of area in the target city Among them, β1, β2, and β3 are the weight coefficients corresponding to the timeliness of garbage cleaning, the cleanliness of garbage cleaning, and the breadth of garbage cleaning areas, respectively.

[0072] It needs to be further explained that the weight coefficients corresponding to the timeliness of garbage cleaning, the cleanliness of garbage cleaning and the breadth of the garbage cleaning area can be set to 0.3, 0.4 and 0.3 respectively.

[0073] The timeliness of garbage collection is directly related to the cleanliness of the urban environment and the quality of life of residents. Timely garbage collection can reduce the pollution of garbage to the environment and reduce the risk of disease transmission. It also helps to improve the overall image of the city and the satisfaction of residents. Therefore, the weight coefficient corresponding to the timeliness of garbage collection is assigned to 0.3.

[0074] The cleanliness of garbage collection is one of the important indicators for measuring the quality of sanitation work. High-cleanliness garbage collection can reduce the spread of germs, reduce environmental pollution, and provide residents with a healthier and more comfortable living environment. Therefore, the weight coefficient corresponding to the cleanliness of garbage collection is assigned to 0.4.

[0075] The extensiveness of the garbage cleaning area reflects the coverage and comprehensiveness of sanitation work. Extensive garbage cleaning work can reduce sanitary blind spots in the city, improve the overall environmental level of the city, and also help improve residents' satisfaction with sanitation work. Therefore, the weight coefficient corresponding to the extensiveness of the garbage cleaning area is assigned a value of 0.3.

[0076] The present invention obtains the data of sanitation workers in each sub-area of ​​each type of area in the target city, analyzes the work evaluation feedback indicators of each sanitation worker in each sub-area of ​​each type of area in the target city, and evaluates and provides feedback on the work of sanitation workers. This helps to intuitively understand the work quality and efficiency of sanitation workers, and is conducive to discovering problems and deficiencies in the work, so as to take targeted measures to make improvements and improve the overall quality of sanitation work.

[0077] The regional sanitation management module is used to analyze and obtain the dynamic scheduling plan of each sanitation worker in each sub-region of each type of area in the target city based on the health evaluation feedback indicators of each sub-region of each type of area in the target city and the work evaluation feedback indicators of each sanitation worker in each sub-region of each type of area in the target city.

[0078] As a preferred feasibility example, the dynamic scheduling plan for sanitation workers in each sub-region of each type of area in the target city, the specific analysis method includes: extracting the health evaluation feedback indicators of each sub-region of each type of area in the target city and the work evaluation feedback indicators of each sanitation worker in each sub-region of each type of area in the target city.

[0079] According to the preset custom principles, the excellent sub-areas, good sub-areas, medium sub-areas and unqualified sub-areas of each type of area in the target city are obtained, and then the dynamic scheduling plan of each sanitation worker is obtained.

[0080] It needs to be further explained that the specific content of the preset custom principle for obtaining the excellent sub-areas, good sub-areas, medium sub-areas and unqualified sub-areas belonging to each type of area in the target city, and then obtaining the dynamic scheduling plan for each sanitation worker therein is: if the health evaluation feedback index of a sub-area belonging to a certain type of area in the target city is greater than or equal to the set health evaluation feedback index threshold, and the work evaluation feedback indicators of each sanitation worker are greater than or equal to the set work evaluation feedback index threshold, then the sub-area belonging to the type of area in the target city is recorded as an excellent sub-area belonging to the type of area in the target city, and there is no need to schedule its sanitation workers.

[0081] If the sanitation evaluation feedback index of a sub-region of a certain type of area in the target city is greater than or equal to the set sanitation evaluation feedback index threshold, but there are sanitation workers among its sanitation workers whose work evaluation feedback indicators are lower than the set work evaluation feedback index threshold, then the sub-region of this type of area in the target city will be recorded as a good sub-region of this type of area in the target city, and the numbers of the sanitation workers in the sub-region of this type of area in the target city whose work evaluation feedback indicators are lower than the threshold will be fed back and they will be interviewed.

[0082] If the sanitation evaluation feedback index of a sub-region of a certain type of area in the target city is lower than the set sanitation evaluation feedback index threshold, but the work evaluation feedback indicators of its sanitation workers are greater than or equal to the set work evaluation feedback index threshold, then the sub-region of this type of area in the target city will be recorded as a medium sub-region of this type of area in the target city, and the number of the sub-region of this type of area in the target city will be fed back, thereby increasing the number of its sanitation workers.

[0083] If the sanitation evaluation feedback index of a sub-region of a certain type of area in the target city is lower than the set sanitation evaluation feedback index threshold, and there is a work evaluation feedback index of each sanitation worker that is lower than the set work evaluation feedback index threshold, then the sub-region of the target city's type of area will be recorded as an unqualified sub-region of the target city's type of area, and the number of the sub-region of the target city's type of area and the number of each sanitation worker in the sub-region of the target city's type of area that is lower than the work evaluation feedback index threshold will be fed back, and the number of sanitation workers will be increased while the sanitation workers will be talked to and trained.

[0084] By analyzing the dynamic scheduling plans of sanitation workers in each sub-area of ​​each type of area in the target city, the present invention helps to accurately grasp the sanitation work needs of each sub-area of ​​each type of area, thereby rationally allocating sanitation equipment, materials and human resources, which is conducive to significantly improving the environmental sanitation quality of the city and providing residents with a more livable living environment.

[0085] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A city smart management platform based on video surveillance, characterized by: include: The regional division module is used to obtain the historical sanitation data of the target city, and then divide the target city into regions based on the historical sanitation data, and obtain the sub-regions to which each type of region in the target city belongs; The sanitation data analysis module is used to obtain the sanitation data of the current date and current period of each sub-region of each type of area in the target city, analyze the scheduling needs of sanitation personnel in each sub-region of each type of area in the target city, and execute the sanitation personnel scheduling management module if it is a scheduling need, and execute the environmental sanitation data analysis module if it is no scheduling need; The sanitation personnel dispatch management module is used to dispatch sanitation personnel to each sub-area of ​​each type of area in the target city that needs dispatching; The environmental sanitation data analysis module is used to obtain the environmental sanitation data of each sub-region of each type of region in the target city, and analyze the sanitation evaluation feedback indicators of each sub-region of each type of region in the target city; The sanitation personnel data analysis module is used to obtain the sanitation personnel data of each sub-region of each type of area in the target city, and analyze the work evaluation feedback indicators of each sanitation personnel in each sub-region of each type of area in the target city; The regional sanitation management module is used to analyze and obtain a dynamic dispatching plan for each sanitation worker in each sub-region of each type of region in the target city based on the health evaluation feedback indicators of each sub-region of each type of region in the target city and the work evaluation feedback indicators of each sanitation worker in each sub-region of each type of region in the target city; The cloud database is used to store the historical sanitation data of the target city, the standard garbage carrying capacity of each garbage transfer station and the standard garbage carrying capacity of each garbage bin in the current date and current period of each sub-region of each type of area in the target city, the sanitation personnel scheduling demand indicator range corresponding to each sanitation personnel scheduling demand level, and the standard garbage bin distribution density of each sub-region of each type of area in the target city on each date.

2. The city smart management platform based on video surveillance according to claim 1 is characterized by: The historical sanitation data of the target city includes the area type and garbage generation amount of each sub-area; The sanitation data of each sub-area of ​​each type of area in the target city on the current date and time period include the amount of garbage in each garbage bin, the amount of garbage in each garbage transfer station, the presence of leakage and odor, and the area of ​​road waste; The environmental sanitation data of each sub-region of each type of region in the target city includes the density of garbage bins and the number of times sanitation workers are required to be dispatched on each date; The sanitation personnel data of each sub-region belonging to each type of region in the target city includes the timeliness of garbage collection, the cleanliness of garbage collection and the breadth of garbage collection areas of each sanitation personnel on each date.

3. The city smart management platform based on video surveillance according to claim 1 is characterized by: The specific acquisition method of each sub-region to which each type of region of the target city belongs includes: Extract the area type and waste generation of each sub-area of ​​the target city; The sub-regions of the target city are classified according to their regional types to obtain the sub-regions corresponding to the various types of regions of the target city. The garbage generation amounts of the sub-regions of the target city are further screened to obtain the garbage generation amounts corresponding to the various types of regions of the target city. The sub-regions of the target city are divided according to the garbage generation amounts to obtain the sub-regions to which the various types of regions belong.

4. The city smart management platform based on video surveillance according to claim 2 is characterized by: In the process of analyzing the dispatch demand of sanitation personnel in each sub-region of each type of area in the target city, it is necessary to construct the dispatch demand index of sanitation personnel in each sub-region of each type of area in the target city. The specific analysis method includes: Extract the garbage volume, leakage and odor of each garbage transfer station in each sub-region of each type of area in the target city on the current date and time period, and analyze the garbage transfer station evaluation index WEI of each sub-region of each type of area in the target city on the current date and time period ab , where a=1,2,...,A, a is the number of each type of area, A is the number of type areas, b=1,2,...,B, b is the number of each sub-area, B is the number of sub-areas; Extract the garbage volume of each trash can and the road waste area of ​​each sub-area of ​​each type of area in the target city on the current date and time period, and record them as TWM abj 、PWS ab , where j = 1, 2, ..., J, j is the number of each trash can, and J is the number of trash cans; Analyze the sanitation personnel dispatch demand indicators of each sub-region of each type of area in the target city Among them, TWM a ' bj The standard garbage carrying capacity of the jth garbage bin in the bth sub-area of ​​the ath type area of ​​the target city in the current date and current period is extracted from the cloud database, and PWS0 is the set permitted road waste area.

5. The city smart management platform based on video surveillance according to claim 4 is characterized by: The garbage transfer station evaluation index of each sub-region of each type of region in the target city at the current date and time period, and the specific analysis method includes: Extract the leakage existence and odor existence of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current period, and analyze them according to the predefined principles to obtain the leakage existence index and odor existence index of each garbage transfer station in each sub-region of each type of area in the target city on the current date and current period, which are recorded as LEI respectively. abf 、OPI abf , where f = 1, 2, ..., F, f is the number of each garbage transfer station, and F is the number of garbage transfer stations; Extract the garbage volume SWM of each garbage transfer station in each sub-area of ​​each type of area in the target city on the current date and in the current period abf ; Analyze the garbage transfer station evaluation index of each sub-region of each type of area in the target city on the current date and time period Among them SWM a ' bf It is the standard garbage carrying capacity of the fth garbage transfer station in the bth sub-area of ​​the ath type area of ​​the target city extracted from the cloud database on the current date and in the current period.

6. The city smart management platform based on video surveillance according to claim 4 is characterized by: The specific analysis method of the sanitation personnel dispatching demand of each sub-area of ​​each type of area in the target city includes: Extract the sanitation personnel dispatch demand index of each sub-region of each type of region in the target city, match it with the sanitation personnel dispatch demand index range corresponding to each sanitation personnel dispatch demand level stored in the cloud database, and obtain the sanitation personnel dispatch demand level of each sub-region of each type of region in the target city; If the sanitation personnel dispatching demand level of a sub-region of a certain type of area in the target city is level one or level two, the sanitation personnel dispatching demand of the sub-region of the same type of area in the target city shall be recorded as a dispatching demand; if the sanitation personnel dispatching demand level of a sub-region of a certain type of area in the target city is level three, the sanitation personnel dispatching demand of the sub-region of the same type of area in the target city shall be recorded as a dispatching demand not required.

7. The city smart management platform based on video surveillance according to claim 6 is characterized by: The specific operation of dispatching sanitation personnel to each sub-area of ​​each type of area in the target city that needs dispatching includes: According to the dispatch demand level of sanitation workers in each sub-area of ​​each type of area in the target city, sanitation workers near the corresponding area are dispatched to carry out cleaning and maintenance first; Further analysis is performed on the scheduling needs of sanitation workers in each sub-area of ​​each type of area in the target city that needs scheduling, until the scheduling demand level of sanitation workers reaches level three.

8. The city smart management platform based on video surveillance according to claim 4 is characterized by: The specific analysis methods of the health evaluation feedback indicators of each sub-region of each type of region in the target city include: Extract the garbage bin distribution density and sanitation personnel dispatch demand times of each date in each sub-area of ​​each type of area in the target city, and record them as DD abd ,RM abd , where d = 1, 2, ..., D, d is the number of each date, and D is the number of dates; Analyze the health evaluation feedback indicators of each sub-region of each type of area in the target city where DD a ' bd The standard trash bin distribution density of the bth sub-area of ​​the ath type area of ​​the target city on the dth date is extracted from the cloud database. DD0 is the permitted difference between the set trash bin distribution density and the standard trash bin distribution density. RM0 is the set permitted number of sanitation personnel scheduling requirements.

9. The city smart management platform based on video surveillance according to claim 8 is characterized by: The specific analysis method of the work evaluation feedback indicators of each sanitation worker in each sub-area of ​​each type of area in the target city includes: Extract the garbage collection timeliness, cleanliness and area breadth of each sanitation worker in each sub-area of ​​each type of area in the target city on each date, and record them as Time abdi 、Clean abdi WR abdi , where i = 1, 2, ..., I, i is the number of each sanitation worker, and I is the number of sanitation workers; Analyze the work evaluation feedback indicators of sanitation workers in each sub-region of each type of area in the target city Among them, β1, β2, and β3 are the weight coefficients corresponding to the timeliness of garbage cleaning, the cleanliness of garbage cleaning, and the breadth of garbage cleaning areas.

10. The city smart management platform based on video surveillance according to claim 9, characterized in that: The dynamic dispatching scheme for each sanitation worker in each sub-area of ​​each type of area in the target city includes: Extract the health evaluation feedback indicators of each sub-region of each type of region in the target city and the work evaluation feedback indicators of each sanitation worker in each sub-region of each type of region in the target city; According to the preset custom principles, the excellent sub-areas, good sub-areas, medium sub-areas and unqualified sub-areas of each type of area in the target city are obtained, and then the dynamic scheduling plan of each sanitation worker is obtained.

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