Method and system for determining the volume and composition of municipal solid waste

Abstract

To determine the volume and morphological composition of municipal solid waste, data about the transaction activity of physical persons is obtained from POS terminals, and the geographical locations of said POS terminals and the territorial affiliation of the place of residence of the physical persons are determined. Data about the purchase of goods that will result in the generation of municipal solid waste is extracted from the aforesaid transaction activity data. On the basis of norms regarding the generation of municipal solid waste according to goods, the volume, date of generation and morphological composition of municipal solid waste are determined, taking into consideration the territorial affiliation of the place of residence of the physical persons. The routes and the types and numbers of containers required to collect and recycle the municipal solid waste are determined.

Description

[0001] METHOD AND SYSTEM FOR DETERMINING THE VOLUME AND COMPOSITION OF MUNICIPAL SOLID WASTE

[0002] AREA OF TECHNOLOGY

[0003] [1] The present invention generally relates to systems and methods that include operations of significant data processing using computer systems and is intended for mass use in the housing and utilities sector to improve the efficiency of collecting municipal solid waste (MSW), improve the efficiency of MSW collection logistics, determine the volume and morphological composition of MSW with reference to a specific location and is aimed at improving the quality of life of the population by improving / preserving the ecology of the environment in cities and other settlements.

[0004] LEVEL OF TECHNOLOGY

[0005] [2] Pollution of the planet with waste is a global problem all over the world and takes place in every place where people live. In some countries of Europe and Japan, a system of recycling waste into secondary raw materials that can be used in production has been in effect for several years. In Russia, the system of burning or storing in landfills currently prevails [1-2].

[0006] [3] According to scientific literature and regulatory documents of the Russian Federation [3-5], there is no single approach to determining the morphological composition of MSW. Each municipality has the right to establish its own standards in accordance with the law. The calculation dependency is determined from such data as: type of real estate (residential / non-residential), number of square meters, number of residents.

[0007] [4] The volume and composition of MSW is determined from a historical analysis in a given area, or the actual volume at the time of waste collection.

[0008] [5] According to the training manual [6], garbage collection occurs according to a pre-determined route scheme, with a fixed number of dump truck trips.

[0009] [6] The technical solution described in is known from the prior art.

[0010] RU 2613589 "METHOD FOR ASSESSING THE COMPONENT COMPOSITION OF MUNICIPAL SOLID WASTE", published 03 / 17 / 2017, FEDERAL STATE BUDGETARY

[0011] EDUCATIONAL INSTITUTION OF HIGHER EDUCATION ''PERM NATIONAL RESEARCH POLYTECHNIC UNIVERSITY" (RU): "the method for assessing the component composition of municipal solid waste (MSW) includes sampling the MSW, separating the components of the first sample by optical-mechanical sorting, measuring the area and mass of each component of the sample. According to the formula of the invention, the mass and place of collection of the first analyzed sample with an indeterminate composition are selected depending on the categories of components, with the first sample preliminarily sorted into two types, namely those not subject to optical-mechanical sorting and those subject to optical-mechanical sorting. The components not subject to sorting are weighed, and the area of ​​the remaining components is determined by optical-mechanical sorting and the mass of each component separately, after which the coefficient K for converting units of area into units of mass is calculated. Then, subsequent MSW samples from different collection locations are processed in an amount of at least 30.Then, the components that are not subject to optical-mechanical sorting are weighed, and for the components that are subject to optical-mechanical sorting, taking into account the previously calculated coefficients K and the area values ​​of the corresponding components of the specified MSW samples, the mass of each of the components is determined and, taking into account the mass of the components that are not subject to optical-mechanical sorting and the mass of the remaining components, the component composition of all MSW samples is calculated and the potential of MSW as a raw material is assessed."

[0012] [7] The disadvantages of known methods for determining the volume and morphological composition of MSW are: the impossibility of accurately predicting the volume and morphological composition of MSW in advance and, as a consequence, the impossibility of adjusting the routes of public utilities and determining the required volume and composition of waste bins.

[0013] DISCLOSURE OF INVENTION

[0014] [8] This technical solution is aimed at eliminating the shortcomings inherent in existing solutions known from the prior art.

[0015] [9] The technical problem solved in this technical solution is the accurate and timely determination of the volume of morphological composition and volume of solid municipal waste.

[0016]

[0010] The technical result that is manifested in solving the above-mentioned problem is the expansion of the arsenal of technical means by providing the ability to accurately and timely determine the volume of the morphological composition and volume of solid municipal waste.

[0017]

[0011] The specified technical result is achieved by implementing a method for determining the volume and morphological composition of solid municipal waste using data on the transactional activity of individuals, implemented using a processor and a data storage device, including the following steps:

[0018] • receive data on the transactional activity of individuals from POS terminals, containing the identifier of the individual and the identifier of the POS terminal;

[0019] • determine the geographic location of POS terminals from which data on the transactional activity of individuals is obtained in the previous step;

[0020] • determine the territorial affiliation of the place of residence of individuals using data on their transactional activity and the geographic location of POS terminals;

[0021] • extract from data on the transactional activity of individuals data on purchases of goods, after the use of which solid municipal waste is generated; • obtain data on the standards for the formation of solid municipal waste depending on the product;

[0022] • a dataset is formed based on data on purchases of goods, after the use of which solid municipal waste is generated, data on the standards for the formation of solid municipal waste depending on the goods and data on the territorial affiliation of the place of residence of individuals who made purchases of goods, after the use of which solid municipal waste is generated;

[0023] • based on the data from the dataset generated in the previous step, the volume, date of formation and morphological composition of municipal solid waste are determined, taking into account the territorial affiliation of the place of residence of individuals;

[0024] • receive data on the volume of garbage bins and work schedules of public utilities and compare them with the specified volume, date of formation and morphological composition of solid municipal waste;

[0025] • taking into account the comparison in the previous step, adjust the routes, type and number of containers required for the removal and disposal of solid municipal waste.

[0026]

[0012] In one of the specific examples of the implementation of the method, data on the purchase of goods, after the use of which solid municipal waste is generated, in e-commerce services is extracted from data on the transactional activity of individuals.

[0027]

[0013] In another particular example of the implementation of the method, data on purchases of goods, after the use of which solid municipal waste is generated, are obtained from fiscal data operators.

[0028]

[0014] In addition, the claimed technical result is achieved by a system for determining the volume and morphological composition of solid municipal waste using data on the transactional activity of individuals, comprising: o at least one data processing device; o at least one data storage device; o at least one program, where one or more programs are stored on one or more data storage devices and executed on one or more data processing devices, wherein one or more programs ensure the execution of the following steps:

[0029] • receive data on the transactional activity of individuals from POS terminals, containing the identifier of the individual and the identifier of the POS terminal;

[0030] • determine the geographic location of POS terminals from which data on the transactional activity of individuals is obtained in the previous step;

[0031] • determine the territorial affiliation of the place of residence of individuals using data on their transactional activity and the geographic location of POS terminals;

[0032] • extract from data on the transactional activity of individuals data on purchases of goods, after the use of which solid municipal waste is generated;

[0033] • receive data on the standards for the formation of solid municipal waste depending on the product;

[0034] • a dataset is formed based on data on purchases of goods, after the use of which solid municipal waste is generated, data on the standards for the formation of solid municipal waste depending on the goods and data on the territorial affiliation of the place of residence of individuals who made purchases of goods, after the use of which solid municipal waste is generated; • based on the data of the dataset formed in the previous step, the volume, date of formation and morphological composition of solid municipal waste are determined taking into account the territorial affiliation of the place of residence of individuals; • data is obtained on the volume of garbage bins and work schedules of public utilities and compared with the determined volume, date of formation and morphological composition of solid municipal waste;

[0035] • taking into account the comparison in the previous step, adjust the routes, type and number of containers required for the removal and disposal of solid municipal waste.

[0036]

[0015] In one of the specific examples of the implementation of the system, data on the purchase of goods, after the use of which solid municipal waste is generated, in e-commerce services is extracted from data on the transactional activity of individuals.

[0037]

[0016] In another specific example of the system’s implementation, data on purchases of goods, after the use of which solid municipal waste is generated, are obtained from fiscal data operators.

[0038] BRIEF DESCRIPTION OF DRAWINGS

[0039]

[0017] The features and advantages of the present technical solution will become apparent from the following detailed description and the accompanying drawings, in which: Fig. 1 illustrates an example of the presence of information about the characteristics of the product.

[0040] Fig. 2 illustrates a block diagram of the implementation of a possible implementation of the claimed method.

[0041] Fig. 3 illustrates an example of route adjustment.

[0042] Fig. 4 illustrates a system for implementing the claimed method.

[0043] IMPLEMENTATION OF THE INVENTION

[0044]

[0018] Below, the terms and concepts necessary for the implementation of this technical solution will be described.

[0045]

[0019] Municipal solid waste (MSW) is waste generated in residential premises during consumption by individuals, as well as goods that have lost their consumer properties during their use by individuals in residential premises for the purpose of satisfying personal and household needs.

[0046]

[0020] A data set or dataset is a collection of data. In the case of tabular data, a data set corresponds to one or more database tables, where each column of the table corresponds to a different variable and each row corresponds to a record in the data set. Data sets store values ​​for each variable, such as the height and weight of an object, for each member of the data set. Data sets can also consist of a collection of documents or files.

[0047]

[0021] A data mart (specialized data warehouse, data kiosk) is a subset (section) of a data warehouse that represents an array of thematic, narrowly focused information, aimed, for example, at users of a single workgroup or department.

[0048]

[0022] MCC (Merchant Category Code) is a code for the type of trade outlet used in the banking industry to classify trade and service enterprises by the type of their activity. The MCC code consists of 4 digits and is assigned to a merchant based on the main area of ​​activity when the merchant begins accepting cards for payment.

[0049]

[0023] A terminal is the end part of a system that provides communication between the system and the external environment. In payment acceptance systems, a payment terminal is used for user interaction with the system, with the card user performing the operation. The terminal can also be a POS terminal - a device for paying for goods (services) using payment cards, with the cashier performing the operation.

[0050]

[0024] The claimed technical solution may be implemented, for example, by a system, a machine-readable medium, a server, etc. In this technical solution, a system means, among other things, a computer system, a computer (electronic computer), a CNC (numerical control), a PLC (programmable logic controller), computerized control systems and any other devices capable of performing a given, clearly defined sequence of operations (actions, instructions).

[0051]

[0025] A command processing unit is an electronic unit or integrated circuit (microprocessor) that executes machine instructions (programs).

[0052]

[0026] The command processing unit reads and executes machine instructions (programs) from one or more data storage devices, such as random access memory (RAM) and / or read-only memory (ROM). ROM may include, but is not limited to, hard disk drives (HDD), flash memory, solid-state drives (SSD), optical storage media (CD, DVD, BD, MD, etc.), etc.

[0053]

[0027] A program is a sequence of instructions intended for execution by a computer control unit or command processing device.

[0054]

[0028] The term "instructions" as used in this application may generally refer to software instructions or software commands that are written in a given programming language to perform a specific function, such as, for example, receiving and processing data, generating a user profile, receiving and transmitting signals, analyzing received data, identifying a user, etc. The instructions may be implemented in a variety of ways, including, for example, object-oriented methods. For example, the instructions may be implemented using the C++ programming language, Java, Python, various libraries (e.g., Microsoft Foundation Classes), etc. The instructions that perform the processes described in this solution may be transmitted via both wired and wireless data transmission channels, such as Wi-Fi, Bluetooth, USB, WLAN, LAN, etc.

[0055]

[0029] The presented method for determining the volume and morphological composition of municipal solid waste using data on the transactional activity of individuals solves the problem of ensuring the ability to accurately and timely determine the volume, morphological composition and volume of municipal solid waste by sequentially performing the following steps:

[0056] • receive data on the transactional activity of individuals from POS terminals, containing the identifier of the individual and the identifier of the POS terminal;

[0057] • determine the geographic location of POS terminals from which data on the transactional activity of individuals is obtained in the previous step;

[0058] • determine the territorial affiliation of the place of residence of individuals using data on their transactional activity and the geographic location of POS terminals;

[0059] • extract from data on the transactional activity of individuals data on purchases of goods, after the use of which solid municipal waste is generated;

[0060] • receive data on the standards for the formation of solid municipal waste depending on the product;

[0061] • a dataset is formed based on data on purchases of goods, after the use of which solid municipal waste is generated, data on the standards for the formation of solid municipal waste depending on the goods and data on the territorial affiliation of the place of residence of individuals who made purchases of goods, after the use of which solid municipal waste is generated;

[0062] • based on the data from the dataset generated in the previous step, the volume, date of formation and morphological composition of municipal solid waste are determined, taking into account the territorial affiliation of the place of residence of individuals;

[0063] • receive data on the volume of garbage bins and work schedules of public utilities and compare them with the specified volume, date of formation and morphological composition of solid municipal waste;

[0064] • taking into account the comparison in the previous step, adjust the routes, type and number of containers required for the removal and disposal of solid municipal waste.

[0065]

[0030] In comparison with the prior art, the present method differs in that the determination of the morphological composition and volume of MSW occurs at the time of determining the transaction, when the product is not yet MSW.

[0066]

[0031] Example - when an individual purchases a product (data on a bank card transaction or data from a POS terminal), the system determines what type of waste the product will belong to after use. When purchasing 1 liter of milk, the determined type of MSW is plastic, the volume of MSW is 10 cm 3 (0.001 m 3 ).

[0067]

[0032] Description of the volume and type of packaging of goods and other characteristics are freely available (on the websites of retail outlets, example in FIG. 1).

[0068]

[0033] The present invention will allow predicting the volume and morphological composition of MSW, which will allow adjusting the routes of dump trucks or determining the required volume of garbage bins. With reference to the area, which was determined as the area of ​​residence of the individual who made the transaction.

[0069]

[0034] The transformed (aggregated) data with attributes - type of waste, volume of waste, predicted conversion into MSW - are sent to the housing and communal services (HCS) of the district (city, region, etc.), then the data is compared with the volume of the garbage bins and a schedule of departures of dump trucks for cleaning is determined. If the HCS does not change the schedule of departures of dump trucks, then, based on the received attributes, it is possible to install new garbage bins with the volume that will correspond to the expected volume of MSW generation obtained from the transactional activity of individuals for whom this district will be defined as the district of residence.

[0070]

[0035] Forecasting the volumes and morphological composition of MSW proposed in this method will improve the ecology of the environment through timely collection of garbage; excess volumes of MSW will not spoil the environment during decomposition if they are collected on time.

[0071]

[0036] At the same time, this method will allow determining the volumes of hazardous MSW, such as batteries, car tires, etc. This will allow placing specialized containers (for certain types of MSW, the attribute - hazardous will be assigned).

[0072]

[0037] Below is a detailed description of a possible implementation of the proposed method (block diagram in FIG. 2).

[0073] 1. The time and location of the transaction carried out by an individual at a point of sale is determined.

[0074] Example: On 12.12.23, a customer went to a grocery store in the evening after work and bought: 2 bottles of milk, a pack of butter, a loaf of bread, a dozen C1 eggs, paying for the purchase with a bank card. 2. The area of ​​the outlet where the transaction was made is determined.

[0075] Example: in real time, using the method described in patent RU 2766548 C1 “Method and device for determining the location of a terminal”, a grocery store is linked to a district.

[0076] If the geolocation of the terminal is known (correctly determined), then we use the area that is specified in the terminal characteristics, and if there is no information about the geolocation, then we use the method that is described in patent RU 2766548 C1:

[0077] - receive transaction data containing the user ID and terminal ID;

[0078] - based on the terminal ID, it is determined that the location of the terminal is unknown;

[0079] - based on the user ID, they search for transaction data of the same user using a terminal whose location is known;

[0080] - determine the time interval between transactions involving a terminal whose location is unknown and a terminal whose location is known;

[0081] - compare the time interval between transactions with the specified boundaries of the transaction interval;

[0082] - determine that the value of the time interval between transactions corresponds to the specified boundaries;

[0083] - assign to a terminal whose location is unknown the coordinates of a terminal whose location is known.

[0084] 3. The area in which the transaction was made by an individual is compared with his area of ​​residence.

[0085] The area of ​​residence of an individual is the area in which the individual regularly makes transactions to pay for products. Example: in real time, the computer system compares the data from the database for the frequency of transactions and determines whether the area in which the transaction was made in the example of paragraph 1 matches the area of ​​residence of the individual.

[0086] 4. Transactions are divided depending on the match between the area of ​​the outlet where the transaction was made and the area of ​​residence of the individual. The data from p.2 and p.3 are compared, if they match, then p.6 is performed, if there is no match, then p.5 is performed. The comparison occurs in real time.

[0087] 5. If the area of ​​the retail outlet where the transaction of an individual was made does not coincide with the area of ​​residence of the individual, then the volume and morphological MSW received from these transactions will be taken into account in the area of ​​residence of the individual.

[0088] 6. If the area of ​​the retail outlet where the transaction was made coincides with the area of ​​residence of the individual, then information about the purchased goods from the OFD receipts is downloaded.

[0089] During the day when the purchase transaction from point 1 was made, the information “Milk 0.93 l” is downloaded from the OFD receipt for this purchase,

[0090] “Butter 180 g”, “White bread 400 g”, “Ten eggs C1”, etc.

[0091] This section downloads all information from the OFD receipts on transactions of individuals whose area of ​​residence coincides with the area of ​​the retail outlet.

[0092] 7. In addition to the transactions from paragraph 6, transactions made by an individual in areas other than the area of ​​residence are added.

[0093] Example: if a customer entered a store on his way out of work, then got on transport and went home, then the data from the OFD receipt for the completed transaction will be taken into account in the area of ​​residence.

[0094] 8. The volume and morphological composition of future MSW are assessed. The volume is assessed by multiplying the volume of packaging and the number of purchased goods, adjusted for the time when, according to the average estimate, the goods become MSW.

[0095] Example: in paragraph 6, information was received about all goods purchased on a certain day in a certain area, which is the buyer's area of ​​residence, as well as information received from other areas.

[0096] Let's look at the example from point 1 (Table 1).

[0097] Table 1. Data on MSW obtained from OFD receipts.

[0098] * The volume of the package is obtained by mathematical calculations using the standard volume formula for a package that can be considered as a rectangle:

[0099] V = a * b * c, where a is the width, b is the length, c is the height.

[0100] If the volume of the product is known, for example for liquid products (water, juice, milk, etc.), then the volume is converted to SI.

[0101] Information about the material and thickness for calculation is used in accordance with GOST [7, 8] or open sources [9].

[0102] From data on milk consumption standards and official statistics

[0010] , we find that on average an adult consumes 0.5 liters of milk per day.

[0103] According to the data, 87,447 people live in the Obruchevsky district, with average consumption, the purchased milk must be consumed in the district within 24 hours, therefore, with a transaction on 12.12, the milk will become MSW on 14.12 and 38.9 m3 of MSW of the plastic type will be generated in the district, only from milk.

[0104] In the same way as milk, MSW will be calculated for other products.

[0105] After non-food products, we consider that they leave behind packaging, which becomes MSW the next day.

[0106] Items purchased for replacement, such as light bulbs and batteries, will be thrown away the following day using the proposed method.

[0107] 9. Creation of a database for storing aggregated data on a product, in which attributes are assigned to each product: type of packaging, volume of packaging, time of product transformation into MSW (it is proposed to take the time of product transformation into MSW from the official statistics of Rosstat, consumption standards, which include the average consumption of the product per capita, calculate consumption per day and compare with the forecast, based on statistics, when the product runs out and only the packaging remains).

[0108] 10. The volume is being re-evaluated.

[0109] In the case of payment in cash, it is assumed that the behavior of the resident of the area does not change, and the ratio of cash transactions will have the same composition as for non-cash transactions.

[0110] For example, if on average for every thousand spent in transactions, one bottle of milk and one dozen eggs were purchased, then it is assumed that when paying in cash, the error in the composition of products will be low, therefore, for every thousand spent, one bottle of milk and one dozen eggs will be purchased, etc.

[0111] The time for summing up the results of forecasting and re-evaluation of MSW will be from 00:00 to 23:59 of the day in question. At 00:00 of the next day, the data obtained by this method are transferred to the execution of the next step (p.11).

[0112] 11. Comparison of the predicted volume level and morphological composition of MSW with the actual volume of garbage bins in the selected area and the schedules of collection by a dump truck. Based on the information that a standard Euro container for collecting MSW has an average volume of 1.1 m3.

[0113] The garbage truck used is the "Rear-loading garbage truck MKZ-4701, made on a reinforced chassis with a body volume of 19.5 m3, taking into account compaction up to 58.5 m3. This garbage truck can load 53 full standard Euro containers on average.

[0114] In accordance with SanPiN

[0011] - In cold weather (with an average daily temperature of +5 °C and below), garbage is removed at least once every three days. In warm weather (with an average daily temperature above +5 °C), garbage trucks must remove MSW daily.

[0115] The information obtained in point 10 shows what volume of MSW will be generated in the area under consideration. Let's assume that it is 234 m 3 MSW, to remove this amount, a minimum of 5 garbage trucks will be required, but in accordance with SanPiN in winter (most likely the temperature in central Russia is below +5 °C) removal will occur once every 3 days, therefore, the resulting MSW can accumulate for up to 3 days.

[0116] Also, having information about the number and types of containers for collecting MSW in the area under consideration, the maximum permissible volume of MSW in the area is determined as the multiplication of volume by quantity (if all containers are of the same type); in the case of different types of containers, the summation of the multiplication of quantity by volume occurs for each type.

[0117] According to the proposed method, information about the volume of future MSW will be sent to housing and communal services the day after the transactions are carried out.

[0118] 12. Information about the volume, number of garbage bins in the area and the schedule of garbage trucks is received either from the database of the utility service or manually entered by the operator of the utility service.

[0119] 13. A decision is made based on step 12. By analyzing the results obtained in step 12, the utility service can use them to optimize the efficiency of its activities in order to remove garbage on time.

[0120] For example, if, according to the information obtained in this way, on 12 / 14 / 2023 the amount of predicted MSW exceeds the total volume of garbage bins in the Obruchevsky district, and in accordance with SanPiN, the departure of garbage trucks is scheduled for 12 / 15 / 2023. It can be assumed that on 12 / 15 / 2023 the volume of garbage bins will be overflowing, and individuals will leave some of the MSW near the bins, which can attract homeless animals and negatively affect the environment.

[0121] But on 12 / 13, when implementing the described method, the utility service will receive information that the area's garbage bins are expected to be filled. Consequently, it will be able to adjust the garbage truck's departure and move it from 12 / 15 to 12 / 14.

[0122]

[0038] Using this method, over time, the utility service can determine the average volume of MSW per day (three days) in the area and compare it with the maximum possible volume that can be collected in garbage bins in this area. Using this analysis, the utility service will be able to obtain information about the optimal total volume of garbage bins for a specific area. And place / remove garbage bins where necessary.

[0123]

[0039] Determining the number of garbage containers and their volume based on the data obtained from the proposed method. The food basket in different areas of the city may differ, therefore, the volume of garbage may also be different.

[0124] For example, now the calculation is based on a certain volume of waste per person, based on the standards [6]. For example, 75 thousand people live in the Aeroport district, and 87.5 thousand in the Obruchevsky district, but the food basket is different, and the volume of waste in the Aeroport district may be higher or equal to the volume of waste in the Obruchevsky district, therefore, the number of garbage bins in the Aeroport district should be more than in accordance with the standards per person.

[0125]

[0040] The proposed method makes it possible to determine the number of specialized containers for recyclable materials (paper, plastic, glass, etc.). Since it is possible to determine the product from the OFD receipts, and the type of packaging can be determined from open sources. Then for each district it is possible to determine the volume of waste of a certain type (for example, in the Obruchevsky district on 12 / 15 there will be 37.6 m3 of plastic; 15.4 m3 of glass; 11.2 m3 of paper). Based on this information, housing and communal services will be able to launch garbage trucks to remove a certain type of waste.

[0126] For example, on the morning of 19.12, using this method in the Obruchevsky district, there will be 30.5 m3 of paper; 54.1 m3 of plastic; and 23 m3 of glass. Considering that the capacity of a standard dump truck is 58.5 m3, the housing and communal services will be able to send a dump truck only for collecting plastic, and plan the collection of the rest of the recyclable materials based on the fact of filling specialized containers. This will increase the efficiency of sorting, since there will be no need to sort recyclable materials, as now, when all types of recyclable materials are thrown into 1 container (example: Moscow).

[0127]

[0041] Route adjustment (in case of scaling to a block-house). This method will allow changing the route in accordance with the predicted filling of the tanks. When the tanks with the smaller predicted volume are taken last, except for the case when such tanks are at the maximum distance.

[0128] If the tank filling rate is predicted to be higher than 90%, then we consider that they are equally filled.

[0129] FIG. 3 shows an example of a garbage truck leaving, when from a route point it went to the most distant and most filled bins, and then to the least filled ones. If the garbage truck fills up before completing the route, then the housing and utilities operators will be able to determine in fact whether a repeat departure is necessary or whether the filling level of the remaining bins is not critical and postpone the departure according to the schedule.

[0130] The Zavolzhsky district of Yaroslavl is taken as an example.

[0131] The map shows the locations of 14 waste sites. Let's say 2 dump trucks or exit 1, but 2 times, are used to go around and remove waste from them.

[0132] Let us have the following filling, based on the described method:

[0133]

[0042] Based on the described method, the housing and communal services will be able to change the route of the dump truck.

[0134] Do not remove waste from sites 3 - 9 on the day of departure, but leave for collection when the percentage of filling increases. This example is relevant in winter, when departure in accordance with SanPiN is regulated once a day. In summer, the route can be adjusted depending on the filling of containers, when, using this method, the dump truck route can be expanded, and it will collect waste in another area.

[0135] Therefore, it is possible to plan the route of a dump truck using this method in advance, and not after the fact, as is currently the case.

[0136]

[0043] If, according to the proposed method, by the morning of 12 / 15 it is predicted that all garbage bins located in the area will be filled to 90-95%, and the scheduled departure of the garbage truck is scheduled for 12 / 16, when, according to the proposed method, it is predicted that, for example, more than 120% of the total volume of garbage bins in the area will be filled, then the housing and communal services can change / adjust the departure schedule and remove the garbage on 12 / 15.

[0137]

[0044] Information on the volume of MSW is a dynamic value, depending on the area, the preferences of individuals living in the area, and the time of year. But at the moment, all indicators are averaged based on retrospective analysis and do not change for years. The presented method will allow the volume and composition of garbage in the selected area to be determined in advance, will allow utility services to adjust the departures of MSW removal trucks for garbage removal, and will also provide information to utility services on hazardous types of MSW and will allow determining the location for installing specialized garbage bins.

[0138]

[0045] In general terms (see FIG. 4), the system for determining the volume and morphological composition of solid municipal waste using data on the transactional activity of individuals (400) contains one or more processors (401), memory means such as RAM (402) and ROM (403), and input / output interfaces (404), connected by a common information exchange bus.

[0139]

[0046] The processor (401) (or several processors, a multi-core processor, etc.) can be selected from a range of devices that are widely used at present, for example, from manufacturers such as: Intel™, AMD™, Apple™, Samsung Exynos™, MediaTEK™, Qualcomm Snapdragon™, etc. The processor or one of the processors used in the system (400) must also include a graphics processor, for example, an NVIDIA GPU with a software model compatible with CUD A, or Graphcore, the type of which is also suitable for the full or partial implementation of the method, and can also be used for training and applying machine learning models in various information systems.

[0140]

[0047] RAM (402) is a random access memory and is intended for storing machine-readable instructions executable by the processor (401) for performing the necessary operations for logical data processing. RAM (402), as a rule, contains executable instructions of the operating system and the corresponding software components (applications, software modules, etc.). In this case, the available memory capacity of the graphic card or graphic processor can act as RAM (402).

[0141]

[0048] The ROM (403) represents one or more permanent data storage devices, such as a hard disk drive (HDD), a solid-state drive (SSD), flash memory (EEPROM, NAND, etc.), optical storage media (CD-R / RW, DVD-R / RW, BlueRay Disc, MD), etc.

[0142]

[0049] To organize the operation of the components of the device (400) and to organize the operation of external connected devices, various types of I / O interfaces (404) are used. The selection of the corresponding interfaces depends on the specific design of the computing device, which may be, without limitation: PCI, AGP, PS / 2, IrDa, FireWire, LPT, COM, SATA, IDE, Lightning, USB (2.0, 3.0, 3.1, micro, mini, type C), TRS / Audio jack (2.5, 3.5, 6.35), HDMI, DVI, VGA, Display Port, RJ45, RS232, etc.

[0143]

[0050] To ensure user interaction with the device (400), various I / O information means (405) are used, for example, a keyboard, a display (monitor), a touch display, a touchpad, a joystick, a mouse, a light pen, a stylus, a touch panel, a trackball, speakers, a microphone, augmented reality means, optical sensors, a tablet, light indicators, a projector, a camera, biometric identification means (retina scanner, fingerprint scanner, voice recognition module), etc.

[0144]

[0051] The network interaction means (406) provides data transmission via an internal or external computer network, for example, an Intranet, the Internet, a LAN, etc. One or more means (406) may be, but are not limited to: an Ethernet card, a GSM modem, a GPRS modem, an LTE modem, a 5G modem, a satellite communication module, an NFC module, a Bluetooth and / or BLE module, a Wi-Fi module, etc.

[0145]

[0052] The specific selection of elements of the device (400) for implementing various software and hardware architectural solutions may vary while maintaining the required functionality provided. In particular, such an implementation may be performed using electronic components used to create digital integrated circuits. Without limitation, microcircuits may be used whose operating logic is determined during manufacture, or programmable logic integrated circuits (PLIS), whose operating logic is specified by programming. For programming, programmers and debugging environments are used that allow the desired structure of the digital device to be specified in the form of a basic electrical circuit or a program in special hardware description languages: Verilog, VHDL, AHDL, etc.An alternative to FPGAs are: programmable logic controllers (PLCs), basic matrix crystals (BMCs), which require a factory production process for programming; ASICs — specialized custom large-scale integrated circuits (LSIs), which are significantly more expensive in small-scale and single-unit production. Thus, implementation can be achieved by standard means based on classical principles of implementing the fundamentals of computer technology.

[0053] The submitted application materials disclose preferred examples of implementing the technical solution and should not be interpreted as limiting other, particular examples of its implementation that do not go beyond the scope of the requested legal protection, which are obvious to specialists in the relevant field of technology.

[0146] LIST OF USED LITERATURE

[0147] 1. Bogdanova, T. V. Problems of organizing the collection and processing of dry waste in Russia / T. V. Bogdanova, V. D. Borisov / / Resource economy in the context of modern trends in globalization: Proceedings of the international scientific and practical conference, Yakutsk, March 22-23, 2019. - Yakutsk: Publishing house of NEFU, 2019. - P. 646-651. - EDN AKJEBY.

[0148] 2. Khalitova, A. V. Separate waste collection in the city. Problems and solutions / A. V. Khalitova / / Education. Science. Production: Collection of reports of the XIV International Youth Forum, Belgorod, October 13-14, 2022. - Belgorod: Belgorod State Technological University named after V.G. Shukhov, 2022. - P. 238-243. - EDN FMUDMQ.

[0149] 3. Guidelines for calculating regulated tariffs in the field of municipal solid waste management. Appendix to the order of the Federal Antimonopoly Service of November 21, 2016 No. 1638 / 16 (URL: htp: / / base.garant.rU / 71546432 / 53f89421bbdaf741eb2dlecc4ddb4c33 / #ixzz5olEzX LRK date of access: 12.12.2023)

[0150] 4. Federal Law "On Production and Consumption Waste" dated 24.06.1998 No.

[0151] 89-FZ (latest revision) (URL: htp: / / www.consultant.ru / document / cons_doc_LAW_l 9109 / bb9e97fad9dl 4ac66df 4b6e67c453dlbe3b77b4c / accessed: 12 / 14 / 2023)

[0152] 5. Order of the Ministry of Environmental Protection and Natural Resources of the Republic of Tatarstan dated March 6, 1998 No. 152 "On the introduction of departmental regulatory acts" (as amended on June 8, July 30, 2004)

[0153] 6. Organization and handling of municipal solid waste: Textbook / E.A. Dobroserdova, S.F. Fedorova. - Kazan: Publishing house of Kazan. state. architect-civil. university, 2018. - 83 p. 7. Interstate standard. Polymer packaging for food products. General specifications. GOST 33837-2022. Date of introduction 01.03.2023.

[0154] 8. Interstate standard. Packaging. Terms and definitions. GOST 17527-2014. Date of introduction 01.07.2015.

[0155] 9. Sizes of poultry eggs (URL: htps: / / www.cnshb.ru / AKDiL / 0062 / base / RR / 000458.shtm accessed: 12.12.2023).

[0156] 10. About the benefits of milk and more (URL: htps: / / 04.rospotrebnadzor.ru / index.php / san-nadzor / 43-san-ottel / i234- 22082011.htnl#:~:text=%D0%94%D0%BB%Dl%8F%20%D0%B4%D0%B5%Dl%82%D0%B5%D0 %B9%2C%2O%DO%B5%DO%B6%DO%B5%DO%B4%DO%BD%DO%B5%DO%B2%DO%BD%DO% B0%DI%8F%20%D0%BD%D0%BE%DI%80%D07OBC%D0%B0%20%D0%BC° / OD0%BE O / OD0° / OB B%DO%BE%DO%BA%DO%BO,%DO%B6%DO%B5%2C%20%DO%BA%DO%BO7ODO%BA%207OD 0%B8%20%DO%B4%DO%BB%D1%8F%20%DO%B2%DO%B7 0 / OD1%80 0 / ODO° / OBE%D17O81%D07OB B%DI%8B%DI%85 date of access: 13.12.2023).

[0157] 11. Resolution of the Chief State Sanitary Doctor of the Russian Federation of January 28, 2021 No. 3 "On approval of sanitary rules and regulations SanPiN 2.1.3684-21 "Sanitary and epidemiological requirements for the maintenance of the territories of urban and rural settlements, water bodies, drinking water and drinking water supply, atmospheric air, soils, residential premises, operation of industrial, public premises, organization and implementation of sanitary and anti-epidemic (preventive) measures".

Claims

FORMULA 1. A method for determining the volume and morphological composition of municipal solid waste using data on the transactional activity of individuals, implemented using a processor and a data storage device, comprising the following steps: • receive data on the transaction activity of individuals from POS terminals, containing the individual’s identifier and the POS terminal identifier; • determine the geographic location of POS terminals from which data on the transaction activity of individuals is obtained in the previous step; • determine the territorial affiliation of the place of residence of individuals using data on their transaction activity and the geographic location of POS terminals; • isolate from data on the transactional activity of individuals data on the purchase of goods, after the use of which solid municipal waste is generated; • receive data on the standards for the formation of solid municipal waste depending on the product; • a dataset is formed based on data on the purchase of goods, after the use of which solid municipal waste is generated, data on the standards for the formation of solid municipal waste depending on the goods and data on the territorial affiliation of the place of residence of individuals who made purchases of goods, after the use of which solid municipal waste is generated; • based on the data from the dataset generated in the previous step, the volume, date of formation and morphological composition are determined solid municipal waste, taking into account the territorial affiliation of the place of residence of individuals; • obtain data on the volume of garbage bins and work schedules of public utilities and compare it with the determined volume, date of formation and morphological composition of solid municipal waste; • taking into account the comparison in the previous step, adjust the routes, type and number of containers required for the removal and disposal of solid municipal waste.

2. The method according to paragraph 1, characterized in that from the data on the transactional activity of individuals, data on the purchase of goods, after the use of which solid municipal waste is generated, in e-commerce services are extracted.

3. The method according to paragraph 1, characterized in that data on purchases of goods, after the use of which solid municipal waste is generated, are received from fiscal data operators.

4. A system for determining the volume and morphological composition of municipal solid waste using data on the transactional activity of individuals, comprising: o at least one data processing device; o at least one data storage device; o at least one program, where one or more programs are stored on one or more data storage devices and executed on one or more data processing devices, wherein the one or more programs ensure the execution of the following steps: • receive data on the transaction activity of individuals from POS terminals, containing the individual’s identifier and the POS terminal identifier; • determine the geographic location of POS terminals from which data on the transaction activity of individuals is obtained in the previous step; • determine the territorial affiliation of the place of residence of individuals using data on their transaction activity and the geographic location of POS terminals; • isolate from data on the transactional activity of individuals data on the purchase of goods, after the use of which solid municipal waste is generated; • receive data on the standards for the formation of solid municipal waste depending on the product; • a dataset is formed based on data on the purchase of goods, after the use of which solid municipal waste is generated, data on the standards for the formation of solid municipal waste depending on the goods and data on the territorial affiliation of the place of residence of individuals who made purchases of goods, after the use of which solid municipal waste is generated; • based on the data from the dataset generated in the previous step, the volume, date of formation and morphological composition of municipal solid waste are determined, taking into account the territorial affiliation of the place of residence of individuals; • obtain data on the volume of garbage bins and work schedules of public utilities and compare it with the specified volume, date of formation and morphological composition of solid municipal waste; • taking into account the comparison in the previous step, adjust the routes, type and number of containers required for the removal and disposal of solid municipal waste.

5. The system according to paragraph 4, characterized in that it extracts from the data on the transactional activity of individuals data on the purchases of goods, after the use of which solid municipal waste is generated, in e-commerce services.

6. The system according to paragraph 4, characterized in that the data on the purchases of goods, after the use of which solid municipal waste is generated, are received from fiscal data operators.

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