A digital application platform for pollution reduction and carbon reduction and its control method

Abstract

The present invention belongs to the technical field of pollution reduction and carbon reduction, and provides a digital application platform for pollution reduction and carbon reduction and a control method thereof. The platform includes: a raw material supply scheduling module, which is used to receive solid waste detection data from multiple solid waste production enterprises in the first target area and actual production data from solid waste processing enterprises, and generate a raw material supply plan that is conducive to pollution reduction and carbon reduction; a solid waste disposal module, which is used to determine the best optimized molding process that is conducive to pollution reduction and carbon reduction according to a preset production formula, and prepare a vitrified product; a product sales management module, which is used to obtain real-time customer information of multiple demand customers in the second target area, and determine a product supply plan that is conducive to pollution reduction and carbon reduction based on the real-time customer information. The present invention can realize pollution reduction and carbon reduction treatment throughout the life cycle of solid waste disposal and utilization, and can achieve the technical purpose of maximum pollution reduction and carbon reduction.

Description

Technical Field

[0001] The present invention relates to the technical field of pollution reduction and carbon reduction, and in particular to a pollution reduction and carbon reduction digital application platform and a control method thereof. Background Art

[0002] In the current industrial production and waste treatment process, the large-scale generation of solid wastes such as slag fly ash and carbonized slag has become a serious environmental problem. These wastes not only occupy land resources, but also may pollute the soil and groundwater through infiltration, causing long-term harm to the environment. At the same time, these wastes often contain harmful substances such as heavy metals. If not properly handled, they may also pose a potential threat to the ecosystem and human health.

[0003] In order to achieve the goal of reducing pollution and carbon emissions, high-temperature melting technology is widely used in the treatment of solid waste. This technology melts solid waste into glassy slag at high temperature, thereby achieving the purpose of reducing volume, stabilizing heavy metal pollutants and eliminating toxic substances such as dioxins. Melting solidification technology is regarded as the most advanced method for treating fly ash from waste incineration. Its volume reduction rate can be as high as more than 2 / 3, and it can effectively stabilize heavy metal pollutants, so that the treated fly ash is characterized as general waste, which is convenient for resource utilization.

[0004] Although the above-mentioned solid waste treatment and utilization methods can achieve a certain degree of pollution reduction and carbon reduction, since a digital application platform dedicated to pollution reduction and carbon reduction has not yet been established, hazardous waste treatment companies cannot effectively optimize the supply of raw materials and product sales, resulting in the inability to further improve the pollution reduction and carbon reduction effects throughout the life cycle. The technical solution of the present invention aims to improve this technical problem. Summary of the invention

[0005] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a digital application platform for pollution reduction and carbon reduction, a control method, an electronic device, a computer storage medium and a computer program product.

[0006] The present invention provides a digital application platform for pollution reduction and carbon reduction, which includes a raw material supply scheduling module, a solid waste disposal module, and a product sales management module; wherein the raw material supply scheduling module is used to receive solid waste detection data of multiple solid waste production enterprises in a first target area and actual production data of solid waste treatment enterprises, and generate a raw material supply plan that is conducive to pollution reduction and carbon reduction based on the solid waste detection data and the actual production data; wherein the raw material supply plan includes several target production enterprises and their raw material supply quantities; the solid waste disposal module is used to determine the best optimized molding process that is conducive to pollution reduction and carbon reduction according to a preset production formula, and prepare a vitrified product; the product sales management module is used to obtain real-time customer information of multiple demand customers in a second target area, and determine a product supply plan that is conducive to pollution reduction and carbon reduction based on the real-time customer information; wherein the product supply plan includes several target customers and their vitrified product supply quantities.

[0007] In some embodiments, the raw material supply scheduling module is specifically used to: evaluate the production urgency level according to the actual production data of the solid waste processing enterprise, and determine the regional scope of the first target area according to the production urgency level; wherein the actual production data includes production formula, raw material inventory, and raw material consumption rate per unit time; calculate the demand for each type of raw materials according to the production formula and the raw material inventory; wherein the production formula contains the ratio of multiple substances; receive the solid waste detection data of multiple solid waste production enterprises in the first target area, and the solid waste detection data contains the percentage of the content of each substance; determine a number of target production enterprises and their raw material supply according to the demand, each of the solid waste detection data, and the transportation path length of each production enterprise, and generate the raw material supply plan that is conducive to pollution reduction and carbon reduction.

[0008] In some embodiments, a production urgency level is evaluated based on the actual production data of the solid waste treatment enterprise, and an area range of the first target area is determined based on the production urgency level, including: determining a predicted proportioning time based on the production formula and historical proportioning time data; wherein the historical proportioning time data includes actual proportioning times of multiple groups of different production formulas; determining a target proportioning time based on the raw material inventory and the predicted proportioning time, calculating a raw material supply rate per unit time based on the target proportioning time, calculating a first difference between the raw material supply rate per unit time and the raw material consumption rate per unit time, and obtaining the production urgency level based on matching the first difference; obtaining the area range of the first target area based on matching the production urgency level with a preset control relationship; wherein, in the preset control relationship, the production urgency level is positively correlated with the size of the area range of the first target area.

[0009] In some embodiments, the product sales management module is specifically used to: obtain the real-time customer information of multiple demand customers in the second target area, the real-time customer information including order customer information and potential customer information, the order customer information including order customers and order quantities, and the potential customer information including potential customers and demand forecast probabilities; allocate the first vitrified product supply corresponding to the order quantity to the order customers respectively; subtract the first vitrified product supply from the production volume of the vitrified products produced in this production cycle to obtain the remaining supply, and determine the allocation percentage for each potential customer based on the demand forecast probability; multiply the remaining supply by the allocation percentage to obtain the second vitrified product supply for each potential customer.

[0010] In some embodiments, the second target area is determined by: calculating a second difference between the output of the vitrified products produced in the current production cycle and the historical average output, and obtaining an expansion coefficient based on the second difference; wherein, when the second difference is a negative value, the expansion coefficient is 1, and when the second difference is a positive value, the expansion coefficient is greater than 1 and is positively correlated with the second difference; using the expansion coefficient to correct a preset third target area to obtain the second target area; wherein the range size of the third target area is a preset value determined based on the historical average output.

[0011] In some embodiments, the solid waste disposal module is used to determine the best optimized molding process that is beneficial to pollution reduction and carbon reduction based on a preset production formula, including: the solid waste disposal module calls a process optimization model, and the process optimization model processes the production formula to predict the optimal melting temperature.

[0012] The present invention also discloses a control method based on the above-mentioned digital application platform for pollution reduction and carbon reduction, the method comprising the following steps: a raw material supply scheduling module generates a raw material supply plan that is conducive to pollution reduction and carbon reduction, and initiates a raw material supply scheduling instruction containing the raw material supply quantity to each target production enterprise in the raw material supply plan; a solid waste disposal module formulates the best optimized molding process that is conducive to pollution reduction and carbon reduction, and schedules the production control system to prepare a vitrified product according to the optimized molding process; a product sales management module generates a product supply plan that is conducive to pollution reduction and carbon reduction, and sends the product supply plan to sales personnel to guide the sales personnel to allocate the corresponding vitrified product supply quantity to each target customer.

[0013] The present invention also provides an electronic device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0014] The present invention also provides a computer storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above methods are implemented.

[0015] The present invention also provides a computer program product, wherein the computer program product includes computer program codes, and when the computer program codes are executed by a processor of an electronic device, the steps of any one of the above methods are implemented.

[0016] The beneficial effect of the present invention is that the present invention realizes pollution reduction and carbon reduction treatment throughout the entire life cycle of solid waste disposal and utilization through the digital application platform for pollution reduction and carbon reduction composed of a raw material supply scheduling module, a solid waste disposal module, and a product sales management module, and can achieve the technical goal of maximum pollution reduction and carbon reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a structural schematic diagram of a digital application platform for pollution reduction and carbon reduction disclosed in an embodiment of the present invention.

[0019] Figure 2 It is a schematic diagram of the formula disclosed in the embodiment of the present invention.

[0020] Figure 3 It is a flow chart of a scheduling method based on a digital application platform for pollution reduction and carbon reduction disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0021] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0022] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0023] like Figure 1 As shown, in view of the above technical problems, an embodiment of the present invention discloses a digital application platform for pollution reduction and carbon reduction, which includes a raw material supply scheduling module, a solid waste disposal module, and a product sales management module; wherein the raw material supply scheduling module is used to receive solid waste detection data of multiple solid waste production enterprises in the first target area and actual production data of solid waste treatment enterprises, and generate a raw material supply plan that is conducive to pollution reduction and carbon reduction according to the solid waste detection data and the actual production data; wherein the raw material supply plan includes several target production enterprises and their raw material supply quantities; the solid waste disposal module is used to determine the best optimized molding process that is conducive to pollution reduction and carbon reduction according to a preset production formula, and prepare a vitrified product; the product sales management module is used to obtain real-time customer information of multiple demand customers in the second target area, and determine a product supply plan that is conducive to pollution reduction and carbon reduction according to the real-time customer information; wherein the product supply plan includes several target customers and their vitrified product supply quantities.

[0024] In the above scheme, the digital application platform for pollution reduction and carbon reduction of the present invention includes the three functional modules of the above-mentioned raw material supply scheduling module, solid waste disposal module, and product sales management module. Among them, the raw material supply scheduling module can be used to determine the best raw material supplier, so as to achieve pollution reduction and carbon reduction in raw material supply; the solid waste disposal module can realize process optimization in the solid waste production process, so as to achieve the purpose of reducing melting temperature and improving melting efficiency, thereby achieving pollution reduction and carbon reduction in the production link; the product sales management module can decide which customers the produced vitrified products should be sold to, and the allocation amount for each customer according to the real-time situation of each customer in the region, so as to achieve pollution reduction and carbon reduction in the product sales link.

[0025] Therefore, the present invention realizes pollution reduction and carbon reduction treatment throughout the entire life cycle of solid waste disposal and utilization through a digital application platform for pollution reduction and carbon reduction composed of a raw material supply scheduling module, a solid waste disposal module, and a product sales management module, and can achieve the technical goal of maximum pollution reduction and carbon reduction.

[0026] In some embodiments, the raw material supply scheduling module is specifically used to: evaluate the production urgency level according to the actual production data of the solid waste processing enterprise, and determine the regional scope of the first target area according to the production urgency level; wherein the actual production data includes production formula, raw material inventory, and raw material consumption rate per unit time; calculate the demand for each type of raw materials according to the production formula and the raw material inventory; wherein the production formula contains the ratio of multiple substances; receive the solid waste detection data of multiple solid waste production enterprises in the first target area, and the solid waste detection data contains the percentage of the content of each substance; determine a number of target production enterprises and their raw material supply according to the demand, each of the solid waste detection data, and the transportation path length of each production enterprise, and generate the raw material supply plan that is conducive to pollution reduction and carbon reduction.

[0027] In this embodiment, when the raw material supply scheduling module generates the raw material supply plan that is conducive to pollution reduction and carbon reduction, it needs to comprehensively consider two factors, namely, ensuring sufficient supply of raw materials and ensuring that the overall distribution cost of the target production enterprise that supplies raw materials is the lowest (in order to reduce distribution carbon emissions). Therefore, the demand for each type of raw material is first calculated based on the production formula and raw material inventory currently being executed by the processing enterprise, that is, the number of each type of raw material required in the next production period (the unit can be tons); then, the solid waste detection data of multiple solid waste production enterprises in the first target area is received, including the percentage of the content of each substance, so that the total amount of raw materials that can be supplied by each production enterprise can be calculated. Finally, the comprehensive demand, the solid waste detection data and the length of the transportation path between each production enterprise and the processing enterprise are analyzed to obtain multiple target production enterprises and the raw material supply of each target production enterprise.

[0028] The raw material supply plan generated in the above manner can ensure that the processing enterprise replenishes the raw material gap, that is, the demand for various raw materials in a timely manner, and can also ensure that the total length of the production enterprise's transportation route is optimal, which is conducive to reducing the raw material transportation costs of the production enterprise and reducing carbon emissions.

[0029] In addition, the size of the first target area in the present invention is not fixed, but can be adjusted dynamically. Specifically, the production urgency level is first evaluated based on the production formula, raw material inventory, and raw material consumption rate per unit time in the actual production data of the processing enterprise. The production urgency level represents the probability that the processing enterprise can ensure that the configured formula raw materials are ready before the inventory raw materials are used up, that is, seamless production can be achieved to avoid insufficient raw material supply or even shutdown. Obviously, the lower the above probability, the higher the production urgency level, and vice versa. The area range of the first target area is then determined based on the production urgency level obtained by the evaluation, that is, the area range size of the first target area is dynamically adjusted based on the production urgency level obtained by the above evaluation.

[0030] In some embodiments, a production urgency level is evaluated based on the actual production data of the solid waste treatment enterprise, and an area range of the first target area is determined based on the production urgency level, including: determining a predicted proportioning time based on the production formula and historical proportioning time data; wherein the historical proportioning time data includes actual proportioning times of multiple groups of different production formulas; determining a target proportioning time based on the raw material inventory and the predicted proportioning time, calculating a raw material supply rate per unit time based on the target proportioning time, calculating a first difference between the raw material supply rate per unit time and the raw material consumption rate per unit time, and obtaining the production urgency level based on matching the first difference; obtaining the area range of the first target area based on matching the production urgency level with a preset control relationship; wherein, in the preset control relationship, the production urgency level is positively correlated with the size of the area range of the first target area.

[0031] In this embodiment, when producing a vitrified product, it is necessary to first mix the raw materials so that the content percentage of each substance in the mixed raw materials meets the preset formula, so as to ensure that the produced vitrified product meets the preset quality indicators. Commonly used formulas are as follows: Figure 2 The two types shown in the figure have different difficulty levels in the proportioning of the two formulas. The predicted proportioning time of each formula can be determined by statistical analysis of the actual proportioning time. It should be noted that, limited by the capacity of the high-temperature furnace, the single supply amount of the proportioned raw materials is fixed.

[0032] At the same time, when the inventory of various raw materials is sufficient, it is easier for technicians to match the proportioned raw materials that meet the formula to be used this time. On the contrary, when the inventory of various raw materials is insufficient, technicians need to perform more complex proportioning operations to obtain the proportioned raw materials that meet the formula to be used this time. Obviously, the inventory of raw materials will directly affect the difficulty of proportioning. Therefore, the present invention is set to first determine the target proportioning time according to the inventory of raw materials and the predicted proportioning time. The more sufficient the inventory of raw materials, the shorter the target proportioning time, and vice versa. The determination process can be completed by a preset trained model (for example, based on LSTM, Transformer and other algorithms), and the specific details are not repeated. According to the target proportioning time, the raw material supply rate per unit time, that is, how much proportioning raw materials can be supplied per unit time, is calculated, and then the first difference between the raw material supply rate per unit time and the raw material consumption rate per unit time is calculated (the first difference should be a positive value under normal circumstances, and if it is a negative value, it indicates insufficient supply), and the production urgency level is obtained according to the first difference matching. Among them, the smaller the first difference, the tighter the supply of the proportioning raw materials, the higher the corresponding production urgency level, and vice versa.

[0033] Next, a preset comparison relationship including a correspondence between multiple production urgency levels and the size of the area range of the first target area is established in advance. In this preset comparison relationship, the production urgency level is positively correlated with the size of the area range of the first target area. That is, the higher the production urgency level, the larger the area range of the first target area is set, which is conducive to screening out more suitable target production enterprises, so as to supply raw materials to the processing enterprises as soon as possible; the lower the production urgency level, the smaller the area range of the first target area is set, which is conducive to screening out target production enterprises with closer distances (not straight-line distances, but road distances), so as to reduce the carbon emissions of production enterprises when supplying raw materials.

[0034] In some embodiments, the product sales management module is specifically used to: obtain the real-time customer information of multiple demand customers in the second target area, the real-time customer information including order customer information and potential customer information, the order customer information including order customers and order quantities, and the potential customer information including potential customers and demand forecast probabilities; allocate the first vitrified product supply corresponding to the order quantity to the order customers respectively; subtract the first vitrified product supply from the production volume of the vitrified products produced in this production cycle to obtain the remaining supply, and determine the allocation percentage for each potential customer based on the demand forecast probability; multiply the remaining supply by the allocation percentage to obtain the second vitrified product supply for each potential customer.

[0035] In this embodiment, after the vitrified product is produced, it is necessary to sell it as soon as possible to reduce inventory pressure and improve turnover rate, thereby also achieving the effect of reducing carbon emissions to a certain extent. In this regard, the present invention obtains real-time customer information of multiple demand customers in the second target area, and the demand customers are divided into order customers who have placed orders and potential customers who may place orders. Then, each order customer is allocated the supply of the first vitrified product corresponding to the order quantity, so that the remaining supply of the vitrified product produced in this production cycle can be calculated, and the remaining supply is used to reserve for potential customers. For potential customers, the allocation percentage of each potential customer is determined based on the predicted demand forecast probability, and then the remaining supply is multiplied by each allocation percentage to obtain the second vitrified product supply of each potential customer.

[0036] Among them, the demand prediction probability of potential customers can be evaluated through the potential customers' use records of vitrified products (such as whether they have used vitrified products, how many times they have used them, etc.), the current construction stage of their construction projects (there will be a greater demand for vitrified products in the early stage of construction), and the marketing intensity to potential customers (such as whether the advantages of vitrified products have been introduced to them, how many times they have been introduced, etc.). The above factors can be combined to evaluate the demand prediction probability of potential customers needing to use vitrified products. The higher the demand prediction probability, the more likely they are to use vitrified products produced by the processing company. In addition, potential customers should be various types of customers in the second target area that meet the use scenarios of vitrified products, such as builders (vitrified products can be used to manufacture low-temperature foamed thermal insulation and flame retardant materials for wall insulation, sound absorption and heat insulation, etc.), shipbuilders (vitrified products can be used for hull sandblasting), municipal departments (water-quenched glass is formed by crushing, mixing, foaming and other processes. The porous glass light stone is a high-quality water purification material that can be used for greening, gardening, and sponge city construction).

[0037] Therefore, after the vitrified products are produced, the present invention reduces the inventory pressure of the vitrified products by making reasonable supply allocations for order customers and potential customers, thereby reducing energy consumption during the product inventory process and helping to reduce carbon emissions.

[0038] In some embodiments, the second target area is determined by: calculating a second difference between the output of the vitrified products produced in the current production cycle and the historical average output, and obtaining an expansion coefficient based on the second difference; wherein, when the second difference is a negative value, the expansion coefficient is 1, and when the second difference is a positive value, the expansion coefficient is greater than 1 and is positively correlated with the second difference; using the expansion coefficient to correct a preset third target area to obtain the second target area; wherein the range size of the third target area is a preset value determined based on the historical average output.

[0039] In this embodiment, the second difference between the production volume of the vitrified products produced in this production cycle and the historical average production volume is first calculated. If the second difference is a negative value, it means that the production volume of the vitrified products produced in this production cycle has not reached the historical average level. At this time, the expansion coefficient is set to 1, that is, the third target area corresponding to the historical average level is directly used, and the turnover efficiency of the vitrified products can be achieved above the preset value by screening customers with the third target area, that is, no inventory backlog will be generated. If the second difference is a positive value, it means that the production volume of the vitrified products produced in this production cycle exceeds the historical average level. At this time, the expansion coefficient is set to be greater than 1, that is, the third target area is appropriately expanded by using the expansion coefficient to facilitate faster finding of suitable customers, so as to achieve the purpose of achieving a turnover efficiency of vitrified products above the preset value.

[0040] Thus, through the above-mentioned method, the present invention can realize the rapid turnover sales of vitrified products, reduce the probability of inventory backlog, thereby reducing the inventory energy consumption of the processing enterprise to reduce carbon emissions. At the same time, when screening customers, it is preferred to screen customers in a small range and close proximity, which is conducive to reducing the overall energy consumption of the processing enterprise for the distribution of vitreous products, thereby further reducing carbon emissions.

[0041] In some embodiments, the solid waste disposal module is used to determine the best optimized molding process that is beneficial to pollution reduction and carbon reduction based on a preset production formula, including: the solid waste disposal module calls a process optimization model, and the process optimization model processes the production formula to predict the optimal melting temperature.

[0042] In this embodiment, the present invention embeds a process optimization model in the solid waste disposal module. The process optimization model is preferably constructed and trained based on Transformer, which can predict the optimal melting temperature according to the selected production formula, that is, under the premise of ensuring that the glass content in the molten product reaches more than 97%, the melting temperature is reduced as much as possible to achieve consumption reduction and emission reduction.

[0043] like Figure 3As shown, the present invention also discloses a control method based on the above-mentioned digital application platform for pollution reduction and carbon reduction, and the method includes the following steps: a raw material supply scheduling module generates a raw material supply plan that is conducive to pollution reduction and carbon reduction, and initiates a raw material supply scheduling instruction containing the raw material supply quantity to each target production enterprise in the raw material supply plan; a solid waste disposal module formulates the best optimized molding process that is conducive to pollution reduction and carbon reduction, and schedules the production control system to prepare a vitrified product according to the optimized molding process; a product sales management module generates a product supply plan that is conducive to pollution reduction and carbon reduction, and sends the product supply plan to sales personnel to guide the sales personnel to allocate the corresponding vitrified product supply quantity to each target customer.

[0044] The method in this embodiment adopts all the technical solutions of the above embodiments, and therefore has at least all the beneficial effects brought by the technical solutions of the above embodiments, which will not be described one by one here.

[0045] An embodiment of the present invention further discloses an electronic device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps of any one of the above methods when executing the computer program.

[0046] An embodiment of the present invention further discloses a computer storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above methods are implemented.

[0047] An embodiment of the present invention further discloses a computer program product, wherein the computer program product includes computer program codes, and when the computer program codes are executed by a processor of an electronic device, the steps of any one of the above methods are implemented.

[0048] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0049] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0050] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0051] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A digital application platform for pollution reduction and carbon reduction, characterized by: The platform includes a raw material supply scheduling module, a solid waste disposal module, and a product sales management module; wherein the raw material supply scheduling module is used to receive solid waste detection data of multiple solid waste production enterprises in the first target area and actual production data of solid waste treatment enterprises, and generate a raw material supply plan that is conducive to pollution reduction and carbon reduction based on the solid waste detection data and the actual production data; wherein the raw material supply plan includes several target production enterprises and their raw material supply quantities; the solid waste disposal module is used to determine the best optimized molding process that is conducive to pollution reduction and carbon reduction based on a preset production formula, and prepare a vitrified product; the product sales management module is used to obtain real-time customer information of multiple demand customers in the second target area, and determine a product supply plan that is conducive to pollution reduction and carbon reduction based on the real-time customer information; wherein the product supply plan includes several target customers and their vitrified product supply quantities; The raw material supply scheduling module is specifically used to: evaluate the production urgency level according to the actual production data of the solid waste processing enterprise, and determine the regional scope of the first target area according to the production urgency level; wherein the actual production data includes production formula, raw material inventory, and raw material consumption rate per unit time; calculate the demand for various raw materials according to the production formula and the raw material inventory; wherein the production formula contains the ratio of multiple substances; receive the solid waste detection data of multiple solid waste production enterprises in the first target area, and the solid waste detection data contains the content percentage of each substance; determine a number of target production enterprises and their raw material supply according to the demand, each solid waste detection data, and the transportation path length of each production enterprise, and generate the raw material supply plan that is conducive to pollution reduction and carbon reduction; The production urgency level is evaluated based on the actual production data of the solid waste treatment enterprise, and the regional scope of the first target area is determined based on the production urgency level, including: determining the predicted proportioning time based on the production formula and historical proportioning time data; wherein the historical proportioning time data includes actual proportioning time of multiple groups of different production formulas; determining the target proportioning time based on the raw material inventory and the predicted proportioning time, calculating the raw material supply rate per unit time based on the target proportioning time, calculating the first difference between the raw material supply rate per unit time and the raw material consumption rate per unit time, and obtaining the production urgency level based on the first difference matching; obtaining the regional scope of the first target area based on the production urgency level and a preset comparison relationship matching; wherein, in the preset comparison relationship, the production urgency level is positively correlated with the size of the regional scope of the first target area.

2. According to claim 1, a digital application platform for pollution reduction and carbon reduction is characterized by: The product sales management module is specifically used to: obtain the real-time customer information of multiple demand customers in the second target area, the real-time customer information includes order customer information and potential customer information, the order customer information includes order customers and order quantities, and the potential customer information includes potential customers and demand forecast probabilities; allocate the first vitrified product supply corresponding to the order quantities to the order customers respectively; subtract the first vitrified product supply from the production volume of the vitrified products produced in this production cycle to obtain the remaining supply, and determine the allocation percentage for each potential customer according to the demand forecast probability; multiply the remaining supply by the allocation percentage to obtain the second vitrified product supply for each potential customer.

3. A digital application platform for pollution reduction and carbon reduction according to claim 2, characterized in that: The second target area is determined in the following manner: a second difference between the output of the vitrified products produced in this production cycle and the historical average output is calculated, and an expansion coefficient is obtained by matching the second difference; wherein, when the second difference is a negative value, the expansion coefficient is 1, and when the second difference is a positive value, the expansion coefficient is greater than 1 and is positively correlated with the second difference; the expansion coefficient is used to correct the preset third target area to obtain the second target area; wherein the range size of the third target area is a preset value determined according to the historical average output.

4. A digital application platform for pollution reduction and carbon reduction according to claim 3, characterized in that: The solid waste disposal module is used to determine the best optimized molding process that is beneficial to pollution reduction and carbon reduction based on a preset production formula, including: the solid waste disposal module calls a process optimization model, and the process optimization model processes the production formula to predict the optimal melting temperature.

5. A control method based on the digital application platform for pollution reduction and carbon reduction according to any one of claims 1 to 4, characterized in that: The method includes the following steps: a raw material supply scheduling module generates a raw material supply plan that is conducive to pollution reduction and carbon reduction, and initiates a raw material supply scheduling instruction containing the raw material supply quantity to each target production enterprise in the raw material supply plan; a solid waste disposal module formulates the best optimized molding process that is conducive to pollution reduction and carbon reduction, and schedules the production control system to prepare a vitrified product according to the optimized molding process; a product sales management module generates a product supply plan that is conducive to pollution reduction and carbon reduction, and sends the product supply plan to sales personnel to guide the sales personnel to allocate the corresponding vitrified product supply quantity to each target customer.

6. An electronic device, comprising: At least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor implements the steps of the method according to claim 5 when executing the computer program.

7. A computer storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 5 are implemented.

8. A computer program product, comprising computer program code, characterized in that: When the computer program code is executed by a processor of an electronic device, the steps of the method as claimed in claim 5 are implemented.

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