Intelligent environmental protection monitoring data processing system and method based on cloud platform

Abstract

The invention discloses an intelligent environmental protection monitoring data processing system and method based on a cloud platform, and relates to the technical field of environmental protection monitoring, and the system comprises a target area determination module, a target station analysis module, an effective clearance vehicle set generation module, a continuous station analysis module, a path response module, and a return path execution module. The target area determination module is used for extracting a monitoring area corresponding to each environmental protection clearing station associated with the environmental protection monitoring platform as a target area; the target station analysis module is used for judging that the environmental protection clearance station is a target station when the real-time capacity meets the full-load early warning; the effective clearance vehicle set generation module is used for constructing an effective clearance vehicle set; the continued station analysis module is used for marking the to-be-analyzed clearance stations meeting the full-load early warning as continued stations; the path response module is used for responding to the effective clearance vehicle meeting the optimal clearance route to guide the path; the return path execution module is used for analyzing whether the corresponding effective clearance vehicle executes a return path.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and in particular to a cloud platform-based intelligent environmental monitoring data processing system and method. Background Art

[0002] Existing smart environmental monitoring platforms, such as the garbage collection intelligent supervision system, can realize real-time monitoring of each collection site to achieve effective management of digital environmental monitoring data. However, based on such monitoring platforms, the route planning for environmental protection collection vehicles is often a route planning for fixed sites and fixed time to save time and improve efficiency. It does not actually consider the quantitative differences between different garbage collection sites in different target areas, and the solution to the problem of real-time changes in route planning based on the needs of real-time sites. Although the original route planning can improve efficiency to a certain extent, for target areas containing a large number of different types of collection sites, how to perform real-time computing power analysis after the departure of the collection vehicle to achieve intelligent path control and maximize the convenience of garbage collection is worthy of further study. Summary of the invention

[0003] The purpose of the present invention is to provide a cloud platform-based intelligent environmental monitoring data processing system and method to solve the problems raised in the prior art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: a cloud platform-based intelligent environmental monitoring data processing method, the processing method includes the following:

[0005] Step S100: extracting the monitoring area corresponding to each environmental protection cleaning and transportation site associated with the environmental protection monitoring platform as the target area; taking the time node in the target area where cleaning and transportation work is not performed as the monitoring starting point, obtaining the real-time capacity of each environmental protection cleaning and transportation site at the corresponding time of the monitoring starting point, and determining the environmental protection cleaning and transportation site when the real-time capacity meets the full load warning as the target site;

[0006] Step S200: responding to environmentally friendly cleaning vehicles that meet the effective cleaning mechanism in the target area where the target site is located, and constructing a set of effective cleaning vehicles;

[0007] Step S300: Mark the remaining environmental protection transportation sites in the target area where the target site is located as the transportation sites to be analyzed, estimate the continuous transportation time of each transportation site to be analyzed, obtain the capacity change of the transportation site to be analyzed within the continuous transportation time, and mark the transportation site to be analyzed that meets the full load warning as a continuous site;

[0008] Step S400: Select the target site to record all the paths that the environmental protection cleaning vehicle can take to the continuation site. The continuation site corresponding to the shortest feasible path distance is the valid site. Based on the valid sites and the valid cleaning vehicle set, the valid cleaning vehicle that meets the best cleaning route is responded to for path guidance.

[0009] Step S500: After the effective removal vehicle arrives at the extension site based on the path guidance, the real-time remaining load of the effective removal vehicle is obtained, and it is analyzed whether the corresponding effective removal vehicle executes the return path.

[0010] In the prior art, the garbage collection planning for environmentally friendly garbage collection vehicles is usually based on fixed time and fixed route for garbage collection. There is no unified response mechanism for real-time garbage collection vehicle route planning. Therefore, at the control and execution level of the existing cloud platform, the operation of the garbage collection vehicles has a large problem of unreasonable resource utilization, and it will also bring about the problem of untimely garbage collection in the monitoring area; from the data storage level of the cloud platform, the fixed-route garbage collection vehicle data does not have a clear data analysis direction and will bring redundant data storage pressure.

[0011] Furthermore, full load warning means that the real-time capacity reaches the critical capacity of the corresponding environmental protection removal station set by the system;

[0012] The process of determining the capacity critical value is as follows:

[0013] Obtain the capacity dynamic change data of each environmental protection cleaning station recorded in the environmental protection monitoring platform. The capacity dynamic change data includes the time and capacity increase value of the environmental protection cleaning station. 1 ; Divide the total monitoring time of each environmental protection cleaning station into several sub-monitoring periods, and extract the total capacity increase value ∑q in each sub-monitoring period 1 and capacity increase times d 1 , using the formula:

[0014] v 0 =(1 / m)∑[(∑q 1 ) / d 1 ];

[0015] Calculate the average growth rate v of the capacity of each environmental protection removal station 0 , (∑q 1 ) / d 1 represents the average capacity growth rate in the sub-monitoring period; m represents the total number of sub-monitoring periods recorded by environmental protection removal stations;

[0016] Select the longest driving path of the environmental protection removal vehicle from the start of operation to the removal site in the historical records of each environmental protection removal site, and extract the average driving time t of the longest driving path record 2 , based on the average driving time t2 Calculate the estimated growth capacity Q 1 , Q 1 =t 2 ×v 0 ;

[0017] Get the total carrying capacity Q of each environmental protection removal site 0 , calculate the critical capacity value Q of the corresponding environmental protection removal station 2 , Q 2 =Q 0 -Q 1 .

[0018] Quantitative analysis of the critical capacity values ​​of different environmental protection removal sites based on cloud platform data can effectively realize dynamic observation of the capacity of different types of monitoring sites, and reasonably realize classified warnings based on differentiated critical values.

[0019] Further, step S200 includes the following:

[0020] Step S210: The effective cleaning mechanism refers to the running time t required for the environmentally friendly cleaning vehicle to reach the target site. 21 Less than or equal to the time t required for the target site to reach full capacity. 1 ;

[0021] Step S220: Run time t 21 The analysis process is as follows:

[0022] Get the real-time location of each environmentally friendly cleaning vehicle in the target area, mark all driving paths from the environmentally friendly cleaning vehicle to the target site based on the real-time location, select the driving time T of the environmentally friendly cleaning vehicle corresponding to the historical records in all driving paths, and calculate the average driving speed V of each driving path based on the driving time T 0 , V 0 =(1 / n)∑(S 1 / T i ), T i represents the i-th driving time of the same environmentally friendly cleaning vehicle on the same driving route, and n represents the number of times the same environmentally friendly cleaning vehicle has been recorded on the same driving route;

[0023] Step S230: Calculate the required running time t for all driving routes of the same environmentally friendly cleaning vehicle 21 , t 21 =S 1 / V 0 , when there is t 21 ≤t 1 The driving path of is marked as a valid path, and the corresponding environmental protection cleaning vehicle is a valid vehicle; where t 1 =(Q 0 -Q2 ) / v 0 ;

[0024] Step S240: extract the effective path corresponding to the minimum running time required for the effective vehicle record as the key path, sort the effective vehicles in ascending order according to the running time recorded on the key path, and construct a set of effective removal vehicles.

[0025] The purpose of constructing an effective removal vehicle is to quickly locate the scheduling priority of all removal vehicles in the target area when responding to the target site warning.

[0026] Further, step S300 includes the following:

[0027] Extract the shortest driving path L between each cleaning site to be analyzed and the target site 1 , and calculate the average travel speed V of the shortest travel path based on step S220 L , get the estimated interval time t of the cleaning vehicle L , t L =L 1 / V L ;

[0028] Based on the estimated interval duration t L , the average processing time required for cleaning at the target site t q And the minimum running time t required for each effective transportation vehicle to reach the target site 21min , estimate the continuous cleaning time T of each cleaning site to be analyzed q , T q =t L +t q +t 21min ;

[0029] The average processing time required for the target site to be cleared is calculated by averaging the cleaning time in the historical records of cleaning events that required the same volume of cleaning;

[0030] Extract the average capacity growth rate v of each cleaning site to be analyzed 0 and real-time loading capacity Q 时 And the total carrying capacity Q of the corresponding cleaning site to be analyzed 0 , using the formula:

[0031] Q 3 =Q 0 -Q 时 -(T q ×v 0 )

[0032] Calculate the transport capacity index Q of each transport station to be analyzed 3; Extract the critical capacity value Q corresponding to the cleaning site to be analyzed 2 ;

[0033] Mark Q 3 ≤Q 0 -Q 2 The corresponding removal site to be analyzed is the continuation site.

[0034] When Q 3 =Q 0 -Q 2 , indicating that the cleaning site to be analyzed has continued cleaning time T q There is a possibility of full load warning, so it is marked as a continuation site to prepare further data for the path planning of subsequent removal vehicles.

[0035] Furthermore, the real-time remaining loading capacity W of the jth valid vehicle in the valid removal vehicle set is extracted in sequence 0j , filter out the real-time remaining load capacity W 0j Less than the total capacity Q that the target site can carry 0 The corresponding valid vehicles are updated to the first collection of removal vehicles;

[0036] Calculate the estimated remaining capacity W of each valid vehicle in the first collection of cleanup vehicles after it has passed through the target site and valid sites in sequence 1 , W 1 =W 0j -Q 0目 -Q 0有 , where Q 0目 represents the total carrying capacity of the target site, Q 0有 Indicates the total carrying capacity of the valid site;

[0037] Eliminate W 1 <0, update the first collection of removal vehicles to the second collection of removal vehicles; output the first valid vehicle in the second collection of removal vehicles as the valid removal vehicle that meets the optimal removal route, and select the vehicle position recorded by the valid removal vehicle and the key path corresponding to the target site, as well as the feasible path corresponding to the target site and the valid site for path guidance.

[0038] Further, step S500 includes the following:

[0039] When the real-time remaining load is equal to zero or less than or equal to the real-time carrying capacity of any remaining environmentally friendly removal site, the effective removal vehicle is output to execute the return path; conversely, when the real-time remaining load is greater than the real-time carrying capacity of any remaining environmentally friendly removal site, the current effective station is taken as the target site, and the path guidance is updated to step S200 until the real-time remaining load of the environmentally friendly removal vehicle is equal to zero or less than or equal to the real-time carrying capacity of any remaining environmentally friendly removal site, and the return path is executed.

[0040] A cloud platform-based intelligent environmental monitoring data processing system, the system includes a target area determination module, a target site analysis module, an effective cleaning vehicle set generation module, a continuation site analysis module, a path response module and a return path execution module;

[0041] The target area determination module is used to extract the monitoring area corresponding to each environmental protection removal station associated with the environmental protection monitoring platform as the target area;

[0042] The target site analysis module is used to determine that the environmental protection removal site when the real-time capacity meets the full load warning is the target site;

[0043] The effective cleaning vehicle set generation module is used to respond to environmentally friendly cleaning vehicles that meet the effective cleaning mechanism in the target area where the target site is located, and to construct an effective cleaning vehicle set;

[0044] The continuation site analysis module is used to mark the removal sites to be analyzed that meet the full load warning as continuation sites;

[0045] The path response module is used to respond to the effective removal vehicles that meet the best removal route and provide path guidance;

[0046] The return path execution module is used to analyze whether the corresponding effective removal vehicle executes the return path.

[0047] Further, the target site analysis module includes a monitoring start point determination unit and a full load warning analysis unit;

[0048] The monitoring starting point determination unit is used to take the time node in the target area where no cleaning work is performed as the monitoring starting point;

[0049] The full load warning analysis unit is used to analyze the capacity critical value of the corresponding environmental protection removal site set by the real-time capacity reaching system.

[0050] Furthermore, the effective removal vehicle set generation module includes a vehicle running time analysis unit, an effective vehicle marking unit and a key path analysis and sorting unit;

[0051] The vehicle running time analysis unit is used to analyze the running time required for the environmental protection transportation vehicle to reach the target site and the capacity increase time required when the target site reaches full capacity;

[0052] The effective vehicle marking unit is used to calculate the required operating time for all driving paths of the same environmentally friendly cleaning vehicle, and mark the driving paths with the required operating time less than or equal to the capacity increase time as effective paths, and the corresponding environmentally friendly cleaning vehicle is a valid vehicle;

[0053] The key path analysis and sorting unit is used to extract the effective path corresponding to the minimum running time required for the effective vehicle record as the key path, sort the effective vehicles in ascending order according to the running time recorded on the key path, and construct a set of effective transportation vehicles.

[0054] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention analyzes the monitoring data of the historical records of environmental protection removal sites in the target area, sets up a capacity warning mechanism to implement response monitoring of the target site, and combines path planning, capacity analysis and comprehensive analysis of related sites to formulate a multi-target removal route for departure removal vehicles, thereby maximizing the savings in the operating costs of removal vehicles and improving the full load rate and removal efficiency of removal vehicles; solving the problem of untimely garbage removal in the monitoring area; and from the data storage level of the cloud platform, the removal vehicle data on fixed routes has a clear data analysis direction and reduces redundant data storage pressure. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 This is a structural schematic diagram of a cloud platform-based intelligent environmental monitoring data processing system of the present invention. DETAILED DESCRIPTION

[0056] 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.

[0057] Example: Figure 1 As shown, the present invention provides a cloud platform-based smart environmental monitoring data processing system and method technical solution, a cloud platform-based smart environmental monitoring data processing method, the processing method includes the following:

[0058] Step S100: extracting the monitoring area corresponding to each environmental protection cleaning and transportation site associated with the environmental protection monitoring platform as the target area; taking the time node in the target area where cleaning and transportation work is not performed as the monitoring starting point, obtaining the real-time capacity of each environmental protection cleaning and transportation site at the corresponding time of the monitoring starting point, and determining the environmental protection cleaning and transportation site when the real-time capacity meets the full load warning as the target site;

[0059] Step S200: responding to environmentally friendly cleaning vehicles that meet the effective cleaning mechanism in the target area where the target site is located, and constructing a set of effective cleaning vehicles;

[0060] Step S300: Mark the remaining environmental protection transportation sites in the target area where the target site is located as the transportation sites to be analyzed, estimate the continuous transportation time of each transportation site to be analyzed, obtain the capacity change of the transportation site to be analyzed within the continuous transportation time, and mark the transportation site to be analyzed that meets the full load warning as a continuous site;

[0061] Step S400: Select the target site to record all the paths that the environmental protection cleaning vehicle can take to the continuation site. The continuation site corresponding to the shortest feasible path distance is the valid site. Based on the valid sites and the valid cleaning vehicle set, the valid cleaning vehicle that meets the best cleaning route is responded to for path guidance.

[0062] Step S500: After the effective removal vehicle arrives at the extension site based on the path guidance, the real-time remaining load of the effective removal vehicle is obtained, and it is analyzed whether the corresponding effective removal vehicle executes the return path.

[0063] In the prior art, the garbage collection planning for environmentally friendly garbage collection vehicles is usually based on fixed time and fixed route for garbage collection. There is no unified response mechanism for real-time garbage collection vehicle route planning. Therefore, at the control and execution level of the existing cloud platform, the operation of the garbage collection vehicles has a large problem of unreasonable resource utilization, and it will also bring about the problem of untimely garbage collection in the monitoring area; from the data storage level of the cloud platform, the fixed-route garbage collection vehicle data does not have a clear data analysis direction and will bring redundant data storage pressure.

[0064] Full load warning means that the real-time capacity reaches the critical value of the corresponding environmental protection removal station set by the system;

[0065] The process of determining the capacity critical value is as follows:

[0066] Obtain the capacity dynamic change data of each environmental protection cleaning station recorded in the environmental protection monitoring platform. The capacity dynamic change data includes the time and capacity increase value of the environmental protection cleaning station. 1 ; Divide the total monitoring time of each environmental protection cleaning station into several sub-monitoring periods, and extract the total capacity increase value ∑q in each sub-monitoring period 1 and capacity increase times d 1 , using the formula:

[0067] v 0 =(1 / m)∑[(∑q 1 ) / d 1 ];

[0068] Calculate the average growth rate v of the capacity of each environmental protection removal station 0 , (∑q 1 ) / d 1represents the average capacity growth rate in the sub-monitoring period; m represents the total number of sub-monitoring periods recorded by environmental protection removal stations;

[0069] Select the longest driving path of the environmental protection removal vehicle from the start of operation to the removal site in the historical records of each environmental protection removal site, and extract the average driving time t of the longest driving path record 2 , based on the average driving time t 2 Calculate the estimated growth capacity Q 1 , Q 1 =t 2 ×v 0 ;

[0070] Get the total carrying capacity Q of each environmental protection removal site 0 , calculate the critical capacity value Q of the corresponding environmental protection removal station 2 , Q 2 =Q 0 -Q 1 .

[0071] Quantitative analysis of the critical capacity values ​​of different environmental protection removal sites based on cloud platform data can effectively realize dynamic observation of the capacity of different types of monitoring sites, and reasonably realize classified warnings based on differentiated critical values.

[0072] Step S200 includes the following:

[0073] Step S210: The effective cleaning mechanism refers to the running time t required for the environmentally friendly cleaning vehicle to reach the target site. 21 Less than or equal to the time t required for the target site to reach full capacity. 1 ;

[0074] Step S220: Run time t 21 The analysis process is as follows:

[0075] Get the real-time location of each environmentally friendly cleaning vehicle in the target area, mark all driving paths from the environmentally friendly cleaning vehicle to the target site based on the real-time location, select the driving time T of the environmentally friendly cleaning vehicle corresponding to the historical records in all driving paths, and calculate the average driving speed V of each driving path based on the driving time T 0 , V 0 =(1 / n)∑(S 1 / T i ), T i represents the i-th driving time of the same environmentally friendly cleaning vehicle on the same driving route, and n represents the number of times the same environmentally friendly cleaning vehicle has been recorded on the same driving route;

[0076] Step S230: Calculate the required running time t for all driving routes of the same environmentally friendly cleaning vehicle 21, t 21 =S 1 / V 0 , when there is t 21 ≤t 1 The driving path of is marked as a valid path, and the corresponding environmental protection cleaning vehicle is a valid vehicle; where t 1 =(Q 0 -Q 2 ) / v 0 ;

[0077] Step S240: extract the effective path corresponding to the minimum running time required for the effective vehicle record as the key path, sort the effective vehicles in ascending order according to the running time recorded on the key path, and construct a set of effective removal vehicles.

[0078] The purpose of constructing an effective removal vehicle is to quickly locate the scheduling priority of all removal vehicles in the target area when responding to the target site warning.

[0079] Step S300 includes the following:

[0080] Extract the shortest driving path L between each cleaning site to be analyzed and the target site 1 , and calculate the average travel speed V of the shortest travel path based on step S220 L , get the estimated interval time t of the cleaning vehicle L , t L =L 1 / V L ;

[0081] Based on the estimated interval duration t L , the average processing time required for cleaning at the target site t q And the minimum running time t required for each effective transportation vehicle to reach the target site 21min , estimate the continuous cleaning time T of each cleaning site to be analyzed q , T q =t L +t q +t 21min ;

[0082] The average processing time required for the target site to be cleared is calculated by averaging the cleaning time in the historical records of cleaning events that required the same volume of cleaning;

[0083] Extract the average capacity growth rate v of each cleaning site to be analyzed 0 and real-time loading capacity Q 时 And the total carrying capacity Q of the corresponding cleaning site to be analyzed 0 , using the formula:

[0084] Q3 =Q 0 -Q 时 -(T q ×v 0 )

[0085] Calculate the transport capacity index Q of each transport station to be analyzed 3 ; Extract the critical capacity value Q corresponding to the cleaning site to be analyzed 2 ;

[0086] Mark Q 3 ≤Q 0 -Q 2 The corresponding removal site to be analyzed is the continuation site.

[0087] When Q 3 =Q 0 -Q 2 , indicating that the cleaning site to be analyzed has continued cleaning time T q There is a possibility of full load warning, so it is marked as a continuation site to prepare further data for the path planning of subsequent removal vehicles.

[0088] Sequentially extract the real-time remaining loading capacity W of the jth valid vehicle in the valid removal vehicle set 0j , filter out the real-time remaining load capacity W 0j Less than the total capacity Q that the target site can carry 0 The corresponding valid vehicles are updated to the first collection of removal vehicles;

[0089] Calculate the estimated remaining capacity W of each valid vehicle in the first collection of cleanup vehicles after it has passed through the target site and valid sites in sequence 1 , W 1 =W 0j -Q 0目 -Q 0有 , where Q 0目 represents the total carrying capacity of the target site, Q 0有 Indicates the total carrying capacity of the valid site;

[0090] Eliminate W 1 <0, update the first collection of removal vehicles to the second collection of removal vehicles; output the first valid vehicle in the second collection of removal vehicles as the valid removal vehicle that meets the optimal removal route, and select the vehicle position recorded by the valid removal vehicle and the key path corresponding to the target site, as well as the feasible path corresponding to the target site and the valid site for path guidance.

[0091] Step S500 includes the following:

[0092] When the real-time remaining load is equal to zero or less than or equal to the real-time carrying capacity of any remaining environmentally friendly removal site, the effective removal vehicle is output to execute the return path; conversely, when the real-time remaining load is greater than the real-time carrying capacity of any remaining environmentally friendly removal site, the current effective station is taken as the target site, and the path guidance is updated to step S200 until the real-time remaining load of the environmentally friendly removal vehicle is equal to zero or less than or equal to the real-time carrying capacity of any remaining environmentally friendly removal site, and the return path is executed.

[0093] In this application, only the analysis of the path connection between the target site and the effective site is described. When the estimated remaining capacity still remains after reaching the effective site, the effective site can continue to be used as the target site, and the original target site is used as the real-time position of the environmental protection cleaning vehicle to return to step S200 to analyze the new continuation site as the effective site;

[0094] If there is no new valid site, the environmental protection removal vehicle will return to the removal vehicle terminal for garbage disposal after completing the removal. If there is no valid vehicle in the second removal vehicle set, the removal vehicle that has traveled to the target site will return on the path and re-evaluate the new target site in the target area.

[0095] A cloud platform-based intelligent environmental monitoring data processing system, the system includes a target area determination module, a target site analysis module, an effective cleaning vehicle set generation module, a continuation site analysis module, a path response module and a return path execution module;

[0096] The target area determination module is used to extract the monitoring area corresponding to each environmental protection removal station associated with the environmental protection monitoring platform as the target area;

[0097] The target site analysis module is used to determine that the environmental protection removal site when the real-time capacity meets the full load warning is the target site;

[0098] The effective cleaning vehicle set generation module is used to respond to environmentally friendly cleaning vehicles that meet the effective cleaning mechanism in the target area where the target site is located, and to construct an effective cleaning vehicle set;

[0099] The continuation site analysis module is used to mark the removal sites to be analyzed that meet the full load warning as continuation sites;

[0100] The path response module is used to respond to the effective removal vehicles that meet the best removal route and provide path guidance;

[0101] The return path execution module is used to analyze whether the corresponding effective removal vehicle executes the return path.

[0102] The target site analysis module includes a monitoring starting point determination unit and a full load warning analysis unit;

[0103] The monitoring starting point determination unit is used to take the time node in the target area where no cleaning work is performed as the monitoring starting point;

[0104] The full load warning analysis unit is used to analyze the capacity critical value of the corresponding environmental protection removal site set by the real-time capacity reaching system.

[0105] The effective transportation vehicle set generation module includes a vehicle operation time analysis unit, an effective vehicle marking unit and a key path analysis and sorting unit;

[0106] The vehicle running time analysis unit is used to analyze the running time required for the environmental protection transportation vehicle to reach the target site and the capacity increase time required when the target site reaches full capacity;

[0107] The effective vehicle marking unit is used to calculate the required operating time for all driving paths of the same environmentally friendly cleaning vehicle, and mark the driving paths with the required operating time less than or equal to the capacity increase time as effective paths, and the corresponding environmentally friendly cleaning vehicle is a valid vehicle;

[0108] The key path analysis and sorting unit is used to extract the effective path corresponding to the minimum running time required for the effective vehicle record as the key path, sort the effective vehicles in ascending order according to the running time recorded on the key path, and construct a set of effective transportation vehicles.

[0109] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A cloud platform-based intelligent environmental monitoring data processing method, characterized in that: The processing method includes the following: Step S100: extracting the monitoring area corresponding to each environmental protection cleaning and transportation site associated with the environmental protection monitoring platform as the target area; taking the time node in the target area where cleaning and transportation work is not performed as the monitoring starting point, obtaining the real-time capacity of each environmental protection cleaning and transportation site at the corresponding time of the monitoring starting point, and determining the environmental protection cleaning and transportation site when the real-time capacity meets the full load warning as the target site; Step S200: responding to environmentally friendly cleaning vehicles that meet the effective cleaning mechanism in the target area where the target site is located, and constructing a set of effective cleaning vehicles; Step S300: Mark the remaining environmental protection transportation sites in the target area where the target site is located as the transportation sites to be analyzed, estimate the continuous transportation time of each transportation site to be analyzed, obtain the capacity change of the transportation site to be analyzed within the continuous transportation time, and mark the transportation site to be analyzed that meets the full load warning as a continuous site; Step S400: Select the target site to record all the paths that the environmental protection cleaning vehicle can take to the continuation site. The continuation site corresponding to the shortest feasible path distance is the valid site. Based on the valid sites and the valid cleaning vehicle set, the valid cleaning vehicle that meets the best cleaning route is responded to for path guidance. Step S500: After the effective removal vehicle arrives at the extension site based on the path guidance, the real-time remaining load of the effective removal vehicle is obtained, and it is analyzed whether the corresponding effective removal vehicle executes the return path.

2. According to a cloud platform-based intelligent environmental monitoring data processing method according to claim 1, it is characterized by: The full load warning refers to the real-time capacity reaching the capacity critical value of the corresponding environmental protection removal station set by the system; The process of determining the capacity critical value is as follows: The capacity dynamic change data recorded in the history of each environmental protection cleaning station on the environmental protection monitoring platform is obtained, and the capacity dynamic change data includes the time of capacity increase and capacity increase value q1 of the environmental protection cleaning station; the total monitoring time of each environmental protection cleaning station is evenly divided into several sub-monitoring periods, and the total capacity increase value ∑q1 and the number of capacity increase times d1 in each sub-monitoring period are extracted, and the formula is used: v0=(1 / m)∑[(∑q1) / d1]; Calculate the average capacity growth rate v0 of each environmental protection removal station, (∑q1) / d1 represents the average capacity growth rate in the sub-monitoring period; m represents the total number of sub-monitoring periods recorded by the environmental protection removal station; Select the longest driving path of the environmental protection removal vehicle from the start of operation to the removal site in the historical records of each environmental protection removal site, extract the average driving time t2 of the longest driving path record, and calculate the estimated growth capacity Q1 based on the average driving time t2, Q1 = t2 × v0; The total carrying capacity Q0 of each environmental protection removal station is obtained, and the capacity critical value Q2 of the corresponding environmental protection removal station is calculated, where Q2 = Q0-Q1.

3. The method for processing intelligent environmental monitoring data based on a cloud platform according to claim 2, characterized in that: The step S200 includes the following: Step S210: The effective cleaning mechanism refers to the running time t required for the environmentally friendly cleaning vehicle to reach the target site. 21 Less than or equal to the capacity increase time t1 required for the target site to reach full capacity; Step S220: The running time t 21 The analysis process is as follows: Get the real-time location of each environmentally friendly cleaning vehicle in the target area, mark all driving paths from the environmentally friendly cleaning vehicle to the target site based on the real-time location, select the driving time T of the environmentally friendly cleaning vehicle corresponding to the historical records in all driving paths, and calculate the average driving speed V0 of each driving path based on the driving time T, V0 = (1 / n)∑(S1 / T i ), T i represents the i-th driving time of the same environmentally friendly cleaning vehicle on the same driving route, and n represents the number of times the same environmentally friendly cleaning vehicle has been recorded on the same driving route; Step S230: Calculate the required running time t for all driving routes of the same environmentally friendly cleaning vehicle 21 , t 21 =S1 / V0, when there is t 21 The driving path ≤t1 is marked as a valid path, and the corresponding environmental protection cleaning vehicle is a valid vehicle; where t1=(Q0-Q2) / v0; Step S240: extract the effective path corresponding to the minimum running time required for the effective vehicle record as the key path, sort the effective vehicles in ascending order according to the running time recorded on the key path, and construct a set of effective removal vehicles.

4. The method for processing intelligent environmental monitoring data based on a cloud platform according to claim 3 is characterized in that: The step S300 includes the following: Extract the shortest driving path L1 between each to-be-analyzed removal site and the target site, and calculate the average driving speed V of the shortest driving path based on step S220. L , get the estimated interval time t of the cleaning vehicle L , t L =L1 / V L ; Based on the estimated interval duration t L , the average processing time required for cleaning at the target site t q And the minimum running time t required for each effective transportation vehicle to reach the target site 21min , estimate the continuous cleaning time T of each cleaning site to be analyzed q , T q =t L +t q +t 21min ; Extract the average capacity growth rate v0 and real-time loading capacity Q of each removal site to be analyzed 时 And the total carrying capacity Q0 of the corresponding cleaning site to be analyzed, using the formula: Q3=Q0-Q 时 -(T q ×v0) Calculate the transportable capacity index Q3 of each transport site to be analyzed; extract the capacity critical value Q2 corresponding to the transport site to be analyzed; The removal site to be analyzed corresponding to the mark Q3≤Q0-Q2 is the continuation site.

5. The method for processing intelligent environmental monitoring data based on a cloud platform according to claim 4 is characterized in that: Sequentially extract the real-time remaining loading capacity W of the jth valid vehicle in the valid removal vehicle set 0j , filter out the real-time remaining load capacity W 0j The valid vehicles that are smaller than the total carrying capacity Q0 of the target station are updated to the first collection of removal vehicles; Calculate the estimated remaining capacity W1 of each valid vehicle in the first collection of cleanup vehicles after it passes through the target site and valid sites, W1 = W 0j -Q 0目 -Q 0有 , where Q 0目 represents the total carrying capacity of the target site, Q 0有 Indicates the total carrying capacity of the valid site; Eliminate the valid vehicles corresponding to W1<0, and update the first collection of transportation vehicles to the second collection of transportation vehicles; output the first valid vehicle in the second collection of transportation vehicles as a valid transportation vehicle that meets the optimal transportation route, and select the key paths corresponding to the vehicle positions and target sites recorded by the valid transportation vehicles and the feasible paths corresponding to the target sites and valid sites for path guidance.

6. The method for processing intelligent environmental monitoring data based on a cloud platform according to claim 1, characterized in that: The step S500 includes the following: When the real-time remaining load is equal to zero or less than or equal to the real-time carrying capacity of any remaining environmental protection removal station, output the effective removal vehicle to execute the return path; On the contrary, when the real-time remaining load is greater than the real-time carrying capacity of any remaining environmental protection removal site, the current valid station is used as the target site, and the path guidance is updated back to step S200 until the real-time remaining load of the environmental protection removal vehicle is equal to zero or less than or equal to the real-time carrying capacity of any remaining environmental protection removal site, and the return path is executed.

7. A cloud platform-based smart environmental monitoring data processing system, such as a cloud platform-based smart environmental monitoring data processing method according to any one of claims 1 to 6, characterized in that: The system includes a target area determination module, a target site analysis module, an effective removal vehicle set generation module, a continuation site analysis module, a path response module and a return path execution module; The target area determination module is used to extract the monitoring area corresponding to each environmental protection removal site associated with the environmental protection monitoring platform as the target area; The target site analysis module is used to determine that the environmental protection removal site when the real-time capacity meets the full load warning is the target site; The effective cleaning vehicle set generation module is used to respond to environmentally friendly cleaning vehicles that meet the effective cleaning mechanism in the target area where the target site is located, and to construct an effective cleaning vehicle set; The continuation site analysis module is used to mark the to-be-analyzed removal sites that meet the full-load warning as continuation sites; The path response module is used to respond to the effective removal vehicles that meet the optimal removal route to provide path guidance; The return path execution module is used to analyze whether the corresponding effective removal vehicle executes the return path.

8. The cloud platform-based intelligent environmental monitoring data processing system according to claim 7 is characterized in that: The target site analysis module includes a monitoring starting point determination unit and a full load warning analysis unit; The monitoring starting point determination unit is used to take the time node in the target area where no cleaning work is performed as the monitoring starting point; The full load warning analysis unit is used to analyze the capacity critical value of the corresponding environmental protection removal site set by the real-time capacity reaching system.

9. The cloud platform-based intelligent environmental monitoring data processing system according to claim 7, characterized in that: The effective removal vehicle set generation module includes a vehicle running time analysis unit, an effective vehicle marking unit and a key path analysis and sorting unit; The vehicle running time analysis unit is used to analyze the running time required for the environmental protection removal vehicle to reach the target site and the capacity increase time required when the target site reaches full capacity; The effective vehicle marking unit is used to calculate the required running time for all driving paths of the same environmentally friendly cleaning and hauling vehicle, and mark the driving paths where the required running time is less than or equal to the capacity increase time as effective paths, and the corresponding environmentally friendly cleaning and hauling vehicle is a valid vehicle; The key path analysis and sorting unit is used to extract the effective path corresponding to the minimum running time required for the effective vehicle record as the key path, sort the effective vehicles in ascending order according to the running time recorded on the key path, and construct a set of effective removal vehicles.

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