An intelligent dispatching system for recycling equipment based on digital twin multi-data analysis

Abstract

The present invention discloses an intelligent scheduling system for recycling equipment based on digital twin multi-data analysis, including a comprehensive acquisition terminal, a data processing module and an information sending module; the comprehensive acquisition terminal includes a recycling equipment information acquisition module, a setting point acquisition module and other information acquisition modules; the recycling equipment information acquisition module is used to collect the recycling equipment related information required for scheduling; the setting point acquisition module is used to collect setting point related information; other information acquisition modules are used to collect other related information; the data processing module is used to process the recycling equipment related information to obtain the first scheduling management information; the setting point related information is processed to obtain the second scheduling management information; other related information is processed to obtain the third scheduling management information. The present invention can more comprehensively perform intelligent scheduling on recycling equipment.

Description

Technical Field

[0001] The present invention relates to the field of dispatching systems, and in particular to an intelligent dispatching system for recycling equipment based on digital twin multi-data analysis. Background Art

[0002] Recycling equipment, especially smart recycling bins, has played an increasingly important role in the field of environmental protection and community life in recent years. Recycling equipment types include smart recycling bins and garbage sorting booths / rooms.

[0003] Recycling equipment in the community plays an important role in the field of environmental protection and community life. By continuously optimizing equipment functions, improving operational efficiency and strengthening resident education, the utilization rate and environmental protection effect of these equipment can be further improved;

[0004] During the deployment process of recycling equipment, the scheduling system will be used to conduct comprehensive scheduling of the recycling equipment.

[0005] The existing scheduling system has a low level of intelligence and obtains less relevant information. It is unable to accurately understand the specific conditions of the recycling equipment points, which leads to the inability to timely and accurately generate relevant scheduling information for intelligent scheduling of recycling equipment, which has a certain impact on the use of the scheduling system. Therefore, an intelligent scheduling system for recycling equipment based on digital twin multi-data analysis is proposed. Summary of the invention

[0006] The technical problem to be solved by the present invention is: how to solve the problem that the existing scheduling system has a low level of intelligence, obtains less relevant information, and cannot accurately understand the specific conditions of the recycling equipment points, which leads to the inability to timely and accurately generate relevant scheduling information for intelligent scheduling of the recycling equipment, which has a certain impact on the use of the scheduling system. An intelligent scheduling system for recycling equipment based on digital twin multi-data analysis is provided.

[0007] The present invention solves the above technical problems through the following technical solutions. The present invention includes a comprehensive acquisition terminal, a data processing module and an information sending module;

[0008] The comprehensive collection terminal includes a recycling equipment information collection module, a setting point collection module and other information collection modules;

[0009] The recycling equipment information collection module is used to collect the relevant information of the recycling equipment required for scheduling;

[0010] The setting point collection module is used to collect setting point related information;

[0011] Other information collection modules are used to collect other relevant information;

[0012] The data processing module is used to process the information related to the recycling equipment and obtain the first scheduling management information;

[0013] Process the setting point related information to obtain second scheduling management information;

[0014] Process other relevant information to obtain third scheduling management information;

[0015] The information sending module sends the first scheduling management information, the second scheduling management information and the third scheduling management information to a preset receiving terminal.

[0016] Furthermore, the first scheduling management information includes recommended scheduling and unrecommended scheduling, which are generated based on newly added recycling equipment and the need to withdraw recycling equipment;

[0017] The relevant information of the recycling equipment includes the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment, the total profit information of the recycling equipment and the daily profit information of the recycling equipment;

[0018] The acquisition process of the first scheduling management information includes a first-type status acquisition process and a second-type status acquisition process;

[0019] One type of status is that it is necessary to add recovery equipment to the original setting point;

[0020] The process of obtaining the first scheduling management information in a class I state is as follows:

[0021] Extract the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment and the total profit information of the recycling equipment from the relevant information of the recycling equipment;

[0022] The setting time of the recycling equipment and the daily recycling volume of the recycling equipment are processed to obtain the average of the total recycling volume, and then the x daily recycling volumes closest to the current time are extracted from the daily recycling volume of the recycling equipment, and the average of the x daily recycling volumes is calculated to obtain the daily average recycling volume;

[0023] Then calculate the difference between the average daily recovery amount and the average total recovery amount to obtain the recovery difference;

[0024] Then extract x daily recycling amounts, calculate the difference between the total recycling amount mean and x daily recycling amounts, obtain x recycling assessment differences, and if the recycling assessment difference is greater than the preset value, it means that there is an abnormality. Extract the number of x recycling assessment differences greater than the preset value to obtain the number of recycling abnormalities;

[0025] Then, the total profit information of the recycling equipment and the setting time of the recycling equipment are processed, and the ratio of the total profit information of the recycling equipment to the setting time of the recycling equipment is calculated to obtain the daily average profit information;

[0026] When any two or more of the following occur: the total recovery volume average is less than the preset value, the recovery difference is less than the preset value, the recovery abnormality volume is greater than the preset value, and the daily average profit information is less than the preset value, scheduling is not recommended;

[0027] When only one of the following occurs, or none of the following occurs, the average total recovery volume is less than the preset value, the recovery difference is less than the preset value, the abnormal recovery volume is greater than the preset value, and the average daily profit information is less than the preset value, a recommended schedule is generated.

[0028] Furthermore, the process of obtaining the first scheduling management information under the second state is as follows: the second state is that the recycling equipment needs to be withdrawn, and the relevant information of the recycling equipment is extracted at this time, and the setting time of the recycling equipment, the daily recycling volume of the recycling equipment and the daily profit information of the recycling equipment are extracted from the relevant information of the recycling equipment;

[0029] Extract the amount greater than the preset value from the daily recycling volume of the recycling equipment to obtain the recycling target amount;

[0030] Then, the amount greater than the preset value is extracted from the daily profit information of the recycling equipment to obtain the profit target amount;

[0031] When the set duration of the recycling equipment is greater than the preset value, but either the recycling target amount or the profit target amount is less than the preset value, the recommended scheduling information is generated;

[0032] Except for the above process, non-recommended scheduling information is generated.

[0033] Further, the second scheduling management information includes setting point evaluation passing and setting point evaluation failing, and the second scheduling management information is generated when a new recycling point needs to be set;

[0034] The second scheduling management information acquisition process is as follows:

[0035] Extract the acquired setting point related information, including road width information around the setting point, pedestrian flow information within a preset range of the setting point, proportion information of various types of residents around the setting point, and distance information between the setting point and residential buildings;

[0036] Processing the road width information around the setting point to obtain a first parameter;

[0037] Processing the flow of people information within a preset range of the setting point to obtain a second parameter;

[0038] The third parameter is obtained by processing the information on the proportion of various types of residents around the setting point;

[0039] Processing the distance information between the setting point and the residential building to obtain a fourth parameter;

[0040] Processing the first parameter, the second parameter, the third parameter and the fourth parameter to obtain a comprehensive evaluation parameter;

[0041] When the comprehensive evaluation parameters are abnormal, the generated set point evaluation fails, otherwise the generated set point evaluation passes.

[0042] Furthermore, the process of obtaining the first parameter is as follows: extracting road width information around the setting point, the road width information around the setting point is the road width closest to the setting point, scoring the road width information around the setting point, and obtaining the first parameter;

[0043] When the road width information around the setting point is greater than or equal to the preset value a1, the first parameter is the preset value m1;

[0044] When the road width information around the setting point is between the preset values ​​a1 and a2, the first parameter is the preset value m2;

[0045] When the road width information around the setting point is less than or equal to the preset value a2, the first parameter is the preset value m3;

[0046] a1<a2,m3>m2>m1;

[0047] The process of obtaining the second parameter is as follows:

[0048] The flow of people within the preset range of the setting point is scored to obtain a second parameter;

[0049] When the flow of people within the preset range of the set point is greater than or equal to the preset value b1, the second parameter is the preset value f1;

[0050] When the flow rate information within the preset range of the set point is between the preset values ​​b1 and b2, the second parameter is the preset value f2;

[0051] When the flow of people within the preset range of the set point is less than or equal to the preset value b2, the second parameter is the preset value f3;

[0052] b1>b2, f1>f2>f3;

[0053] The third parameter is obtained by processing the proportion information of various types of residents around the setting point, where the proportion information of various types of residents around the setting point is the ratio of the number of residents whose age is above the preset value to the number of residents whose age is below the preset value in the community where the setting point is located;

[0054] Score the proportion of various types of residents around the setting point to obtain the third parameter;

[0055] When the proportion of each type of residents around the setting point is greater than or equal to the preset value c1, the third parameter is the preset value y1;

[0056] When the proportion of each type of residents around the setting point is between the preset values ​​c1 and c2, the third parameter is the preset value y2;

[0057] When the proportion of each type of residents around the setting point is less than or equal to the preset value c2, the third parameter is the preset value y3;

[0058] c1>c2,y1>y2>y3;

[0059] The process of obtaining the fourth parameter is as follows: scoring the distance information between the setting point and the residential building to obtain the fourth parameter;

[0060] When the distance information between the set point and the residential building is less than or equal to the preset value d1, the fourth parameter is the preset value p1;

[0061] When the distance information between the set point and the residential building is between the preset values ​​d1 and d2, the fourth parameter is the preset value p2;

[0062] When the distance information between the set point and the residential building is greater than or equal to the preset value d2, the fourth parameter is the preset value p3;

[0063] d1<d2, p1>p2>p3.

[0064] Furthermore, the comprehensive evaluation parameter acquisition process is as follows: extracting the collected first parameter, second parameter, third parameter and fourth parameter;

[0065] The first parameter is marked as W1, the second parameter is marked as W2, the third parameter is marked as W3, and the fourth parameter is marked as W4;

[0066] Assign W1 a weight of G1, W2 a weight of G2, W3 a weight of G3, and W4 a weight of G4;

[0067] G1+G2+G3+G4=1, G2>G3>G1=G4;

[0068] Through the formula W1*G1+W2*G2+W3*G3+W4*G4=Ww, the comprehensive evaluation parameter Ww is obtained;

[0069] When the comprehensive evaluation parameter Ww is greater than or equal to the preset value, it means that the set point evaluation has passed;

[0070] When the comprehensive evaluation parameter Ww is less than the preset value, it means that the set point evaluation fails.

[0071] Furthermore, the third scheduling management information is the scheduling management information of the recycling equipment operation and maintenance personnel, which is generated when the recycling of the recycling equipment meets the recycling standards and the environment of the recycling equipment is abnormal;

[0072] The generation process of the third scheduling management information under the recycling equipment recycling compliance condition is as follows: extracting other collected relevant information, the other and related information including equipment recycling status information and recycling equipment environment information;

[0073] Processing equipment recycling status information, including the recycling amount and recycling time of the recycling equipment;

[0074] Calculate the ratio of the recycling amount of the recycling equipment to the recycling time, obtain the recycling amount per unit time, and mark it as U;

[0075] Then extract the preset standard next recycling and cleaning time point, mark it as T1, and then extract the current time, mark it as T2;

[0076] Then extract the standard recycling volume of the recycling equipment, calculate the difference between the standard recycling volume of the recycling equipment and the recycling volume of the recycling equipment, obtain the remaining recycling volume, and mark it as Q;

[0077] Through the formula [(T1-T2)-Q / U】*α=Tu, the recycling evaluation parameter Tu is obtained. When the recycling evaluation parameter Tu is less than the preset value, it means that the recycling meets the standard, and the third scheduling management information is generated. α is the correction value, 0.91≤α≤0.99, and α is proportional to the size of Q.

[0078] Furthermore, the process of obtaining the third scheduling management information when the environment of the recycling equipment is abnormal is as follows:

[0079] Extracting environmental information of the recycling equipment from other relevant information, the environmental information of the recycling equipment including environmental temperature information, environmental humidity information and environmental image information;

[0080] Continuously collect ambient temperature information and ambient humidity information z times, calculate the average value of ambient temperature information and the average value of ambient humidity information, and obtain ambient temperature parameters and ambient humidity parameters;

[0081] Process the environmental image information to obtain other influencing parameters;

[0082] When any two of the ambient temperature parameters, ambient humidity parameters and other influencing parameters are greater than the preset values, the ambient temperature parameters, ambient humidity parameters and other influencing parameters are imported into the standard database established by the digital twin technology, and the maintenance frequency information matching the corresponding ambient temperature parameters, ambient humidity parameters and other influencing parameters is retrieved from the standard database to obtain the standard maintenance frequency;

[0083] Then, the real-time maintenance frequency of the current recycling equipment is collected, and when the real-time maintenance frequency is less than the standard maintenance frequency, the third scheduling management information is generated.

[0084] Furthermore, the process of processing the environmental image information to obtain other influencing parameters is as follows: extracting the environmental image information, extracting the recycling equipment from the environmental image information, drawing a circle with the center point of the recycling equipment as the center and a preset length as the radius, and obtaining the image evaluation area;

[0085] Green plant area information is collected from the image assessment area, and then the ratio of the green plant area information to the image assessment area is calculated to obtain other assessment parameters.

[0086] Compared with the prior art, the present invention has the following advantages: the intelligent dispatching system for recycling equipment based on digital twin multi-data analysis has comprehensive data collection and processing capabilities. The system comprehensively collects recycling equipment, setting points and other related information through a comprehensive collection terminal to ensure the comprehensiveness and accuracy of the data. The data processing module can efficiently process this information, generate the first, second and third dispatching management information, and provide strong support for intelligent dispatching.

[0087] Intelligent scheduling decision-making has been realized. The first scheduling management information intelligently determines whether the recycling equipment needs to be scheduled based on the operating status of the recycling equipment (such as setting time, daily recycling volume, standard capacity and profit information), thereby improving resource utilization efficiency.

[0088] The second dispatch management information ensures the rationality and effectiveness of the new setting point by evaluating information such as the road width, pedestrian flow, resident ratio and distance from residential buildings at the setting point.

[0089] The third dispatch management information is generated when the recycling equipment meets the recycling standards or the environment is abnormal, and the operation and maintenance personnel are dispatched in time to ensure the normal operation of the recycling equipment.

[0090] It also realizes refined evaluation and judgment. The system conducts refined evaluation of recycling equipment and setting points through calculation of multiple parameters, and realizes more comprehensive and intelligent scheduling of recycling equipment, making the system more worthy of promotion and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0092] The following is a detailed description of an embodiment of the present invention. This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiment.

[0093] like Figure 1As shown, this embodiment provides a technical solution: an intelligent scheduling system for recycling equipment based on digital twin multi-data analysis, including a comprehensive acquisition terminal, a data processing module and an information sending module;

[0094] The comprehensive collection terminal includes a recycling equipment information collection module, a setting point collection module and other information collection modules;

[0095] The recycling equipment information collection module is used to collect the relevant information of the recycling equipment required for scheduling;

[0096] The setting point collection module is used to collect setting point related information;

[0097] Other information collection modules are used to collect other relevant information;

[0098] The data processing module is used to process the information related to the recycling equipment and obtain the first scheduling management information;

[0099] Process the setting point related information to obtain second scheduling management information;

[0100] Process other relevant information to obtain third scheduling management information;

[0101] The information sending module sends the first scheduling management information, the second scheduling management information and the third scheduling management information to a preset receiving terminal.

[0102] The first scheduling management information includes recommended scheduling and non-recommended scheduling, which are generated based on newly added recycling equipment and the need to withdraw recycling equipment;

[0103] The relevant information of the recycling equipment includes the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment, the total profit information of the recycling equipment and the daily profit information of the recycling equipment;

[0104] The acquisition process of the first scheduling management information includes a first-type status acquisition process and a second-type status acquisition process;

[0105] One type of status is that it is necessary to add recovery equipment to the original setting point;

[0106] The process of obtaining the first scheduling management information in a class I state is as follows:

[0107] Extract the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment, and the total profit information of the recycling equipment from the relevant information of the recycling equipment;

[0108] The setting time of the recycling equipment and the daily recycling volume of the recycling equipment are processed to obtain the average of the total recycling volume. Then, the x daily recycling volumes closest to the current time are extracted from the daily recycling volume of the recycling equipment, and the average of the x daily recycling volumes is calculated to obtain the daily average recycling volume, where x ≥ 10.

[0109] Then calculate the difference between the average daily recovery amount and the average total recovery amount to obtain the recovery difference;

[0110] Then extract x daily recycling amounts, calculate the difference between the total recycling amount mean and x daily recycling amounts, obtain x recycling assessment differences, and if the recycling assessment difference is greater than the preset value, it means that there is an abnormality. Extract the number of x recycling assessment differences greater than the preset value to obtain the number of recycling abnormalities;

[0111] Then, the total profit information of the recycling equipment and the setting time of the recycling equipment are processed, and the ratio of the total profit information of the recycling equipment to the setting time of the recycling equipment is calculated to obtain the daily average profit information;

[0112] When any two or more of the following occur: the total recovery volume average is less than the preset value, the recovery difference is less than the preset value, the recovery abnormality number is greater than the preset value, and the daily average profit information is less than the preset value, scheduling is not recommended, that is, the recovery volume and other parameters of the existing recovery equipment points have certain abnormalities, and it is not suitable to add new recovery equipment;

[0113] When only one of the following conditions appears: the average total recovery volume is less than the preset value, the recovery difference is less than the preset value, the abnormal recovery volume is greater than the preset value, and the average daily profit information is less than the preset value, or none of them appears, a recommended schedule is generated, that is, a single device at the existing recycling equipment point cannot meet the actual recycling needs, and there is no need to add new recycling equipment.

[0114] The process of obtaining the first scheduling management information under the second state is as follows: the second state is that the recycling equipment needs to be withdrawn, at this time, the relevant information of the recycling equipment is extracted, and the setting time of the recycling equipment, the daily recycling volume of the recycling equipment and the daily profit information of the recycling equipment are extracted from the relevant information of the recycling equipment;

[0115] Extract the amount greater than the preset value from the daily recycling volume of the recycling equipment to obtain the recycling target amount;

[0116] Then, the amount greater than the preset value is extracted from the daily profit information of the recycling equipment to obtain the profit target amount;

[0117] When the set duration of the recycling equipment is greater than the preset value, but either the recycling target amount or the profit target amount is less than the preset value, a recommended scheduling information is generated, that is, it is recommended to recall the recycling equipment that has been installed to reduce equipment loss;

[0118] Except for the above process, no scheduling information is generated;

[0119] The above process realizes accurate data analysis. By analyzing key data such as the setting time of the recycling equipment, daily recycling volume, standard capacity and daily profit information, the system can fully and accurately understand the operating status of the recycling equipment.

[0120] Processing and analyzing these data, such as calculating the average total recovery volume, average daily recovery volume, recovery difference, recovery assessment difference and average daily profit information, can further reveal the performance characteristics and changing trends of the recycling equipment.

[0121] Based on the data analysis results, the system can automatically generate information on recommended or not recommended scheduling, providing clear reference for decision makers.

[0122] This intelligent scheduling recommendation can reduce the subjectivity and uncertainty of human judgment and improve the accuracy and efficiency of decision-making.

[0123] It also optimizes resource allocation and reduces operating costs. In a certain state, when the system determines that it is not recommended to add new recycling equipment, unnecessary waste of resources and duplicate construction can be avoided.

[0124] In the second category, when the system determines that it is recommended to withdraw the recycling equipment, inefficient or redundant equipment can be cleaned up in time to improve resource utilization efficiency.

[0125] The system reduces operating costs and can help companies optimize the operation and maintenance strategies of recycling equipment through accurate data analysis and intelligent scheduling suggestions.

[0126] This not only reduces equipment wear and tear and maintenance costs, but also improves equipment operating efficiency and profitability.

[0127] The second scheduling management information includes setting point evaluation passing and setting point evaluation failing, and the second scheduling management information is generated when a new recycling point needs to be set;

[0128] The second scheduling management information acquisition process is as follows:

[0129] Extract the acquired setting point related information, including road width information around the setting point, pedestrian flow information within a preset range of the setting point, proportion information of various types of residents around the setting point, and distance information between the setting point and residential buildings;

[0130] Processing the road width information around the setting point to obtain a first parameter;

[0131] Processing the flow of people information within a preset range of the setting point to obtain a second parameter;

[0132] The third parameter is obtained by processing the information on the proportion of various types of residents around the setting point;

[0133] Processing the distance information between the setting point and the residential building to obtain a fourth parameter;

[0134] Processing the first parameter, the second parameter, the third parameter and the fourth parameter to obtain a comprehensive evaluation parameter;

[0135] When the comprehensive evaluation parameters are abnormal, the generated set point evaluation fails, otherwise the generated set point evaluation passes.

[0136] The process of obtaining the first parameter is as follows: extracting road width information around the setting point, the road width information around the setting point is the road width closest to the setting point, scoring the road width information around the setting point, and obtaining the first parameter;

[0137] When the road width information around the setting point is greater than or equal to the preset value a1, the first parameter is the preset value m1;

[0138] When the road width information around the setting point is between the preset values ​​a1 and a2, the first parameter is the preset value m2;

[0139] When the road width information around the setting point is less than or equal to the preset value a2, the first parameter is the preset value m3;

[0140] a1<a2,m3>m2>m1;

[0141] The process of obtaining the second parameter is as follows:

[0142] The flow of people within the preset range of the setting point is scored to obtain a second parameter;

[0143] When the flow of people within the preset range of the set point is greater than or equal to the preset value b1, the second parameter is the preset value f1;

[0144] When the flow rate information within the preset range of the set point is between the preset values ​​b1 and b2, the second parameter is the preset value f2;

[0145] When the flow of people within the preset range of the set point is less than or equal to the preset value b2, the second parameter is the preset value f3;

[0146] b1>b2, f1>f2>f3;

[0147] The third parameter is obtained by processing the proportion information of various types of residents around the setting point, where the proportion information of various types of residents around the setting point is the ratio of the number of residents whose age is above the preset value to the number of residents whose age is below the preset value in the community where the setting point is located;

[0148] Score the proportion of various types of residents around the setting point to obtain the third parameter;

[0149] When the proportion of each type of residents around the setting point is greater than or equal to the preset value c1, the third parameter is the preset value y1;

[0150] When the proportion of each type of residents around the setting point is between the preset values ​​c1 and c2, the third parameter is the preset value y2;

[0151] When the proportion of each type of residents around the setting point is less than or equal to the preset value c2, the third parameter is the preset value y3;

[0152] c1>c2,y1>y2>y3;

[0153] The process of obtaining the fourth parameter is as follows: scoring the distance information between the setting point and the residential building to obtain the fourth parameter;

[0154] When the distance information between the set point and the residential building is less than or equal to the preset value d1, the fourth parameter is the preset value p1;

[0155] When the distance information between the set point and the residential building is between the preset values ​​d1 and d2, the fourth parameter is the preset value p2;

[0156] When the distance information between the set point and the residential building is greater than or equal to the preset value d2, the fourth parameter is the preset value p3;

[0157] d1<d2, p1>p2>p3.

[0158] The process of obtaining the comprehensive evaluation parameters is as follows: extracting the collected first parameter, second parameter, third parameter and fourth parameter;

[0159] The first parameter is marked as W1, the second parameter is marked as W2, the third parameter is marked as W3, and the fourth parameter is marked as W4;

[0160] Assign W1 a weight of G1, W2 a weight of G2, W3 a weight of G3, and W4 a weight of G4;

[0161] G1+G2+G3+G4=1, G2>G3>G1=G4, the importance of human traffic is the highest, so it is given the highest weight. Compared with young people, the elderly prefer to collect recyclables, so they are given the second largest weight;

[0162] Through the formula W1*G1+W2*G2+W3*G3+W4*G4=Ww, the comprehensive evaluation parameter Ww is obtained;

[0163] When the comprehensive evaluation parameter Ww is greater than or equal to the preset value, it means that the set point evaluation has passed;

[0164] When the comprehensive evaluation parameter Ww is less than the preset value, it means that the set point evaluation fails;

[0165] The above process comprehensively considers various factors such as the road width around the setting point, pedestrian flow, proportion of residents, and the distance between the setting point and residential buildings. These factors have an important impact on the scheduling of recycling equipment and the selection of setting points.

[0166] By taking these factors into account, the system is able to more accurately assess the feasibility and optimization potential of set points.

[0167] This process converts various factors into quantifiable evaluation criteria by scoring and assigning weights.

[0168] Through accurate assessment, the system can avoid setting up recycling equipment in inappropriate locations, thereby avoiding waste of resources and duplication of construction. This helps companies allocate resources more reasonably and improve operational efficiency.

[0169] Improved service quality and customer satisfaction. Appropriate setting points can make it more convenient for residents to use recycling equipment, improving service quality and customer satisfaction;

[0170] By optimizing the layout and scheduling strategy of recycling equipment, the system can promote the recycling and efficient use of resources, which helps reduce resource waste and environmental pollution and promote sustainable development.

[0171] The third scheduling management information is the scheduling management information of the recycling equipment operation and maintenance personnel, which is generated when the recycling of the recycling equipment meets the standards and the environment of the recycling equipment is abnormal;

[0172] The generation process of the third scheduling management information under the recycling equipment recycling compliance condition is as follows: extracting other collected relevant information, the other and related information including equipment recycling status information and recycling equipment environment information;

[0173] Processing equipment recycling status information, including the recycling amount and recycling time of the recycling equipment;

[0174] Calculate the ratio of the recycling amount of the recycling equipment to the recycling time, obtain the recycling amount per unit time, and mark it as U;

[0175] Then extract the preset standard next recycling and cleaning time point, mark it as T1, and then extract the current time, mark it as T2;

[0176] Then extract the standard recycling volume of the recycling equipment, calculate the difference between the standard recycling volume of the recycling equipment and the recycling volume of the recycling equipment, obtain the remaining recycling volume, and mark it as Q;

[0177] The recycling evaluation parameter Tu is obtained through the formula [(T1-T2)-Q / U]*α=Tu. When the recycling evaluation parameter Tu is less than the preset value, it means that the recycling meets the standard, and the third scheduling management information is generated. α is the correction value, 0.91≤α≤0.99, and α is proportional to the size of Q. At this time, the specific content of the third scheduling management information is to schedule maintenance personnel to recycle the recyclables in the recycling equipment in time to avoid the equipment warehouse being full and unable to carry out recycling operations;

[0178] The above process improves the efficiency of recycling operations. By extracting equipment recycling status information and environmental information, the system can monitor the operating status of the recycling equipment in real time, including recycling volume and recycling time.

[0179] This enables the system to promptly detect problems in the recycling process, such as low recycling efficiency or equipment failure, so that measures can be taken quickly to make adjustments and optimizations.

[0180] Accurate prediction and scheduling: By calculating the recycling volume per unit time (U) and the remaining recycling volume (Q), the system can accurately predict the recycling capacity and remaining task volume of the recycling equipment in the future.

[0181] This helps companies plan recycling tasks in advance and arrange recycling time and location reasonably, thereby improving the efficiency of recycling operations.

[0182] It avoids resource backlog. When the recycling evaluation parameter Tu is less than the preset value, it means that the recycling equipment can complete the recycling task within the specified time, thus avoiding resource backlog caused by untimely recycling.

[0183] This helps companies make more rational use of recycling equipment and reduce waste of resources.

[0184] Through real-time monitoring and accurate prediction, the system can ensure that the recycling equipment operates in the best condition, thereby improving the resource recovery rate.

[0185] This helps companies maximize resource utilization and reduce environmental pollution.

[0186] The specific content of the third dispatch management information is to dispatch maintenance personnel to recycle the recyclables in the recycling equipment in a timely manner to avoid the equipment warehouse being full and unable to carry out recycling operations.

[0187] This enables dispatching and maintenance personnel to clearly understand their tasks and responsibilities, and improve their work enthusiasm and execution.

[0188] By collecting and processing recyclables in a timely manner, scheduling maintenance personnel can ensure the normal operation and efficient utilization of recycling equipment.

[0189] The process of obtaining the third scheduling management information when the environment of the recycling equipment is abnormal is as follows:

[0190] Extracting environmental information of the recycling equipment from other relevant information, the environmental information of the recycling equipment including environmental temperature information, environmental humidity information and environmental image information;

[0191] Continuously collect ambient temperature information and ambient humidity information z times, calculate the average of ambient temperature information and ambient humidity information, and obtain ambient temperature parameters and ambient humidity parameters, z ≥ 15;

[0192] Process the environmental image information to obtain other influencing parameters;

[0193] When any two of the ambient temperature parameters, ambient humidity parameters and other influencing parameters are greater than the preset values, the ambient temperature parameters, ambient humidity parameters and other influencing parameters are imported into the standard database established by the digital twin technology, and the maintenance frequency information matching the corresponding ambient temperature parameters, ambient humidity parameters and other influencing parameters is retrieved from the standard database to obtain the standard maintenance frequency;

[0194] Then, the real-time maintenance frequency of the current recycling equipment is collected. When the real-time maintenance frequency is less than the standard maintenance frequency, the third scheduling management information is generated. At this time, the third scheduling management information is used to schedule the maintenance personnel to increase the maintenance frequency of the recycling equipment to ensure the stable operation of the recycling equipment.

[0195] The above process can detect and respond to environmental anomalies in a timely manner. By continuously collecting environmental temperature, humidity and image information, the system can comprehensively monitor the environmental conditions of the recycling equipment.

[0196] This enables the system to promptly detect environmental anomalies, such as excessive temperature, humidity or other adverse factors, and take prompt measures to respond.

[0197] The system not only monitors environmental parameters, but also obtains other influencing parameters by processing environmental image information, so as to more accurately identify the specific problems and causes of environmental abnormalities.

[0198] When the real-time maintenance frequency is lower than the standard maintenance frequency, the system immediately generates the third scheduling management information to remind the scheduling maintenance personnel to increase the maintenance frequency.

[0199] This helps companies adjust maintenance plans in a timely manner to ensure that recycling equipment operates in optimal conditions.

[0200] The process of processing the environmental image information to obtain other influencing parameters is as follows: extracting the environmental image information, extracting the recycling equipment from the environmental image information, drawing a circle with the center point of the recycling equipment as the center and a preset length as the radius, and obtaining the image evaluation area;

[0201] Green plant area information is collected from the image assessment area, and then the ratio of the green plant area information to the image assessment area is calculated, that is, other assessment parameters are obtained. If the green plant area is too large, it means that mosquitoes and other animals are likely to breed at this point. Mosquitoes and other animals entering the recycling equipment will cause damage to the equipment or contamination of the recyclables. Therefore, monitoring and analysis can be performed to understand the status of the recycling equipment.

[0202] Through the above process, the impact of the environment on the recycling equipment can be accurately evaluated. By drawing a circle with the center point of the recycling equipment as the center and a preset length as the radius, the system can accurately define the image evaluation area.

[0203] This enables the system to more accurately assess the impact that the environment around the recycling equipment may have on it.

[0204] After quantifying the green plant area, the system can automatically collect the green plant area information within the image assessment area and calculate the ratio of the green plant area to the image assessment area.

[0205] This ratio, as an important other influencing parameter, can quantify the impact of green plants on recycling equipment.

[0206] Too much green space often means that the area is prone to breeding mosquitoes and other animals.

[0207] By monitoring the ratio of green plant area to image assessment area, the system can detect potential risk areas in advance.

[0208] Preventing equipment damage and recyclables contamination: Insects and other animals entering recycling equipment may cause equipment damage or recyclables contamination.

[0209] With early warning, companies can take appropriate preventive measures, such as increasing the frequency of cleaning and setting up protective nets, to reduce these risks.

[0210] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0211] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0212] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An intelligent dispatching system for recycling equipment based on digital twin multi-data analysis, characterized in that: It includes a comprehensive collection terminal, a data processing module and an information sending module; The comprehensive collection terminal includes a recycling equipment information collection module, a setting point collection module and other information collection modules; The recycling equipment information collection module is used to collect the relevant information of the recycling equipment required for scheduling; The setting point collection module is used to collect setting point related information; Other information collection modules are used to collect other relevant information; The data processing module is used to process the information related to the recycling equipment and obtain the first scheduling management information; Process the setting point related information to obtain second scheduling management information; Process other relevant information to obtain third scheduling management information; The information sending module sends the first scheduling management information, the second scheduling management information and the third scheduling management information to a preset receiving terminal; The first scheduling management information includes recommended scheduling and non-recommended scheduling, which are generated based on newly added recycling equipment and the need to withdraw recycling equipment; The relevant information of the recycling equipment includes the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment, the total profit information of the recycling equipment and the daily profit information of the recycling equipment; The acquisition process of the first scheduling management information includes a first-type status acquisition process and a second-type status acquisition process; One type of status is that it is necessary to add recovery equipment to the original setting point; The process of obtaining the first scheduling management information in a class I state is as follows: Extract the setting time of the recycling equipment, the daily recycling volume of the recycling equipment, the standard capacity of the recycling equipment and the total profit information of the recycling equipment from the relevant information of the recycling equipment; The setting time of the recycling equipment and the daily recycling volume of the recycling equipment are processed to obtain the average of the total recycling volume, and then the x daily recycling volumes closest to the current time are extracted from the daily recycling volume of the recycling equipment, and the average of the x daily recycling volumes is calculated to obtain the daily average recycling volume; Then calculate the difference between the average daily recovery amount and the average total recovery amount to obtain the recovery difference; Then extract x daily recycling amounts, calculate the difference between the total recycling amount mean and x daily recycling amounts, obtain x recycling assessment differences, and if the recycling assessment difference is greater than the preset value, it means that there is an abnormality. Extract the number of x recycling assessment differences greater than the preset value to obtain the number of recycling abnormalities; Then, the total profit information of the recycling equipment and the setting time of the recycling equipment are processed, and the ratio of the total profit information of the recycling equipment to the setting time of the recycling equipment is calculated to obtain the daily average profit information; When any two or more of the following occur: the total recovery volume average is less than the preset value, the recovery difference is less than the preset value, the recovery abnormality volume is greater than the preset value, and the daily average profit information is less than the preset value, scheduling is not recommended; When only one of the following occurs, or none of the following occurs, the average total recovery volume is less than the preset value, the recovery difference is less than the preset value, the abnormal recovery volume is greater than the preset value, and the average daily profit information is less than the preset value, a recommended schedule is generated.

2. According to claim 1, an intelligent dispatching system for recycling equipment based on digital twin multi-data analysis is characterized in that: The process of obtaining the first scheduling management information under the second state is as follows: the second state is that the recycling equipment needs to be withdrawn, at this time, the relevant information of the recycling equipment is extracted, and the setting time of the recycling equipment, the daily recycling volume of the recycling equipment and the daily profit information of the recycling equipment are extracted from the relevant information of the recycling equipment; Extract the amount greater than the preset value from the daily recycling volume of the recycling equipment to obtain the recycling target amount; Then, the amount greater than the preset value is extracted from the daily profit information of the recycling equipment to obtain the profit target amount; When the set duration of the recycling equipment is greater than the preset value, but either the recycling target amount or the profit target amount is less than the preset value, the recommended scheduling information is generated; Except for the above process, non-recommended scheduling information is generated.

3. According to claim 1, an intelligent dispatching system for recycling equipment based on digital twin multi-data analysis is characterized in that: The second scheduling management information includes setting point evaluation passing and setting point evaluation failing, and the second scheduling management information is generated when a new recycling point needs to be set; The second scheduling management information acquisition process is as follows: Extract the acquired setting point related information, including road width information around the setting point, pedestrian flow information within a preset range of the setting point, proportion information of various types of residents around the setting point, and distance information between the setting point and residential buildings; Processing the road width information around the setting point to obtain a first parameter; Processing the flow of people information within a preset range of the setting point to obtain a second parameter; The third parameter is obtained by processing the information on the proportion of various types of residents around the setting point; Processing the distance information between the setting point and the residential building to obtain a fourth parameter; Processing the first parameter, the second parameter, the third parameter and the fourth parameter to obtain a comprehensive evaluation parameter; When the comprehensive evaluation parameters are abnormal, the generated set point evaluation fails, otherwise the generated set point evaluation passes.

4. According to claim 3, an intelligent dispatching system for recycling equipment based on digital twin multi-data analysis is characterized in that: The process of obtaining the first parameter is as follows: extracting road width information around the setting point, the road width information around the setting point is the road width closest to the setting point, scoring the road width information around the setting point, and obtaining the first parameter; When the road width information around the setting point is greater than or equal to the preset value a1, the first parameter is the preset value m1; When the road width information around the setting point is between the preset values ​​a1 and a2, the first parameter is the preset value m2; When the road width information around the setting point is less than or equal to the preset value a2, the first parameter is the preset value m3; a1<a2,m3>m2>m1; The process of obtaining the second parameter is as follows: The flow of people within the preset range of the setting point is scored to obtain a second parameter; When the flow of people within the preset range of the set point is greater than or equal to the preset value b1, the second parameter is the preset value f1; When the flow rate information within the preset range of the set point is between the preset values ​​b1 and b2, the second parameter is the preset value f2; When the flow of people within the preset range of the set point is less than or equal to the preset value b2, the second parameter is the preset value f3; b1>b2, f1>f2>f3; The third parameter is obtained by processing the proportion information of various types of residents around the setting point, where the proportion information of various types of residents around the setting point is the ratio of the number of residents whose age is above the preset value to the number of residents whose age is below the preset value in the community where the setting point is located; Score the proportion of various types of residents around the setting point to obtain the third parameter; When the proportion of each type of residents around the setting point is greater than or equal to the preset value c1, the third parameter is the preset value y1; When the proportion of each type of residents around the setting point is between the preset values ​​c1 and c2, the third parameter is the preset value y2; When the proportion of each type of residents around the setting point is less than or equal to the preset value c2, the third parameter is the preset value y3; c1>c2,y1>y2>y3; The process of obtaining the fourth parameter is as follows: scoring the distance information between the setting point and the residential building to obtain the fourth parameter; When the distance information between the set point and the residential building is less than or equal to the preset value d1, the fourth parameter is the preset value p1; When the distance information between the set point and the residential building is between the preset values ​​d1 and d2, the fourth parameter is the preset value p2; When the distance information between the set point and the residential building is greater than or equal to the preset value d2, the fourth parameter is the preset value p3; d1<d2, p1>p2>p3.

5. According to claim 3, an intelligent dispatching system for recycling equipment based on digital twin multi-data analysis is characterized in that: The process of obtaining the comprehensive evaluation parameters is as follows: extracting the collected first parameter, second parameter, third parameter and fourth parameter; The first parameter is marked as W1, the second parameter is marked as W2, the third parameter is marked as W3, and the fourth parameter is marked as W4; Assign W1 a weight of G1, W2 a weight of G2, W3 a weight of G3, and W4 a weight of G4; G1+G2+G3+G4=1, G2>G3>G1=G4; Through the formula W1*G1+W2*G2+W3*G3+W4*G4=Ww, the comprehensive evaluation parameter Ww is obtained; When the comprehensive evaluation parameter Ww is greater than or equal to the preset value, it means that the set point evaluation has passed; When the comprehensive evaluation parameter Ww is less than the preset value, it means that the set point evaluation fails.

6. According to claim 1, the intelligent dispatching system for recycling equipment based on digital twin multi-data analysis is characterized in that: The third scheduling management information is the scheduling management information of the recycling equipment operation and maintenance personnel, which is generated when the recycling of the recycling equipment meets the standards and the environment of the recycling equipment is abnormal; The generation process of the third scheduling management information under the recycling equipment recycling compliance condition is as follows: extracting other collected relevant information, the other and related information including equipment recycling status information and recycling equipment environment information; Processing equipment recycling status information, including the recycling amount and recycling time of the recycling equipment; Calculate the ratio of the recycling amount of the recycling equipment to the recycling time, obtain the recycling amount per unit time, and mark it as U; Then extract the preset standard next recycling and cleaning time point, mark it as T1, and then extract the current time, mark it as T2; Then extract the standard recycling volume of the recycling equipment, calculate the difference between the standard recycling volume of the recycling equipment and the recycling volume of the recycling equipment, obtain the remaining recycling volume, and mark it as Q; The recycling evaluation parameter Tu is obtained through the formula ((T1-T2)-Q / U)*α=Tu. When the recycling evaluation parameter Tu is less than the preset value, it means that the recycling meets the standard and the third scheduling management information is generated. α is the correction value, 0.91≤α≤0.99, and α is proportional to the size of Q.

7. The intelligent dispatching system for recycling equipment based on digital twin multi-data analysis according to claim 6 is characterized in that: The process of obtaining the third scheduling management information when the environment of the recycling equipment is abnormal is as follows: Extracting environmental information of the recycling equipment from other relevant information, the environmental information of the recycling equipment including environmental temperature information, environmental humidity information and environmental image information; Continuously collect ambient temperature information and ambient humidity information z times, calculate the average value of ambient temperature information and the average value of ambient humidity information, and obtain ambient temperature parameters and ambient humidity parameters; Process the environmental image information to obtain other influencing parameters; When any two of the ambient temperature parameters, ambient humidity parameters and other influencing parameters are greater than the preset values, the ambient temperature parameters, ambient humidity parameters and other influencing parameters are imported into the standard database established by the digital twin technology, and the maintenance frequency information matching the corresponding ambient temperature parameters, ambient humidity parameters and other influencing parameters is retrieved from the standard database to obtain the standard maintenance frequency; Then, the real-time maintenance frequency of the current recycling equipment is collected, and when the real-time maintenance frequency is less than the standard maintenance frequency, the third scheduling management information is generated.

8. The intelligent dispatching system for recycling equipment based on digital twin multi-data analysis according to claim 7 is characterized in that: The process of processing the environmental image information to obtain other influencing parameters is as follows: extracting the environmental image information, extracting the recycling equipment from the environmental image information, drawing a circle with the center point of the recycling equipment as the center and a preset length as the radius, and obtaining the image evaluation area; Green plant area information is collected from the image assessment area, and then the ratio of the green plant area information to the image assessment area is calculated to obtain other assessment parameters.

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