Method and system for monitoring and evaluating operation state of regional circular economy based on internet of things

Abstract

The application discloses a regional recycling economy operation state monitoring and evaluation method and system based on an Internet of Things, relates to the field of data analysis, and comprises a collection module, a garbage recycling related information collection module is used for collecting target area garbage recycling related information, and the garbage recycling related information is counted; an analysis module is used for receiving the garbage recycling related information counted in the collection module, and analyzing the garbage treatment tendency based on the garbage recycling related information; the application collects multi-dimensional data such as garbage properties and weights accurately, constructs a treatment tendency model in combination with parameters such as moisture content, can scientifically judge the more suitable treatment path of garbage incineration or landfill, simultaneously introduces a methane production decay trend evaluation mechanism, relies on a matrix type deployed sensor to monitor the landfill gas production state in real time, combines a weight algorithm to dynamically evaluate the gas production health degree, and provides double data support for garbage allocation strategy.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, specifically to a method and system for monitoring and evaluating the operational status of a regional circular economy based on the Internet of Things. Background Technology

[0002] Waste incineration power generation generates heat by burning waste at high temperatures, which drives turbines to generate electricity. Landfill power generation, on the other hand, uses biogas produced by the fermentation of waste after it is landfilled to generate electricity. Both of these methods conform to the characteristics of a circular economy.

[0003] Patent application No. 202310265620.7 discloses a fuel management system for thermal power plants, including a fuel preparation system, a storage planning system, a combustion power generation system, and a detection and recording system. The fuel preparation system includes an inflow and outflow management module, a sampling and analysis module, and a coal statistics module. The storage planning system includes a surplus monitoring module, a usage recording module, and a manual intervention module. The combustion power generation system includes a combustion prediction module, a coal processing module, a generator unit module, and an exhaust gas monitoring module. The detection and recording system includes an information editing module and a data collection module. This application aims to solve the problem that "fuel management is the lifeline of thermal power plant operations, but the current fuel management model involves many links, relatively dispersed production equipment, and is greatly affected by human factors, resulting in widespread inaccurate, false, and unreliable fuel data."

[0004] However, in the scenario of generating electricity from waste, existing technologies do not effectively manage waste-to-energy methods (i.e., incineration power generation and landfill gas power generation), and most of these methods are decided independently by relevant personnel, making it difficult to further improve the efficiency of waste-to-energy generation. Summary of the Invention

[0005] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a method and system for monitoring and evaluating the operation status of regional circular economy based on the Internet of Things, which can effectively solve the problems of the existing technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions;

[0007] This invention discloses a regional circular economy operation status monitoring and evaluation system based on the Internet of Things, comprising:

[0008] The system comprises the following modules: a data acquisition module for collecting waste recycling information from the target area and performing statistical analysis; an analysis module for receiving the waste recycling information from the data acquisition module and analyzing waste disposal trends based on this information; a decision-making module for obtaining the waste disposal trend analysis results from the analysis module, setting waste disposal decision thresholds, and comparing these thresholds with the obtained analysis results to decide whether to incinerate or landfill the waste; a monitoring module for real-time monitoring of methane production in the power plant's landfill area and evaluating methane decay trends based on the methane production monitoring results; an allocation module for receiving the decision-making module's decision on incineration or landfill disposal and the evaluation results of methane decay trends from the monitoring module, and allocating the currently collected waste for incineration or landfill based on the decision and evaluation results; and a message module for continuously acquiring waste allocation results from the allocation module, marking the allocation results with timestamps, and generating messages using the continuously acquired timestamped waste allocation results.

[0009] Furthermore, the source of the waste recycling information in the target area collected by the acquisition module is the waste recycling stations in the target area, and the waste recycling information in the target area includes: waste attributes and the weight of waste of each attribute;

[0010] The waste attributes include: waste with high organic matter content, and combustible waste with high calorific value and low moisture content;

[0011] After the waste collection station collects the waste, it simultaneously removes non-combustible and metal waste from the waste before transporting it to the power plant.

[0012] The waste recycling information is marked with the date and the name or address of the waste recycling station from which it originates. When the data collection module collects statistics on the waste recycling information, it distinguishes the waste recycling information by the name or address marked on the waste recycling information, and then sorts the waste recycling information in the distinguished intervals based on the marked date.

[0013] Furthermore, the analysis module is equipped with an accumulation unit and a correction unit. The accumulation unit is used to accumulate the weight of each type of waste transported from each waste recycling station to the power plant and to calculate the ratio of the total accumulated weight of each type of waste. The correction unit is used to receive the ratio of the total accumulated weight of each type of waste from the accumulation unit, correct the ratio, and record the correction result as the waste treatment tendency.

[0014]

[0015] In the formula: f is the waste disposal tendency value; k is the ratio of the total mass x of waste with high organic matter content to the total mass y of combustible waste with high calorific value and low moisture content. xThe overall moisture content of waste with high organic matter content; k y The overall moisture content of combustible waste with high calorific value and low moisture content;

[0016] The larger the value of f, the more suitable the waste received by the power plant is for landfill gas collection and power generation; the smaller the value of f, the more suitable the waste received by the power plant is for direct combustion and power generation.

[0017] Furthermore, the waste disposal decision threshold in the decision module is user-defined by the system user. When making a decision on whether to incinerate or landfill the waste, the decision module compares the waste disposal decision threshold with the waste disposal tendency value f. If the waste disposal tendency value f is greater than the waste disposal decision threshold, the waste is landfilled; if the waste disposal tendency value f is less than the waste disposal decision threshold, the waste is incinerated.

[0018] When the waste disposal tendency value f equals the waste disposal decision threshold, the power plant waits for the waste recycling station to send waste to it again. After the power plant receives new waste, it applies the relevant information of the newly received waste to the calculation of the waste disposal tendency value f, and then makes a decision on whether to incinerate or landfill the waste.

[0019] Furthermore, during the configuration phase of the monitoring module, methane content sensors are deployed in a matrix in the landfill area of ​​the power plant, and the methane production in the landfill area of ​​the power plant is monitored synchronously based on each deployed methane content sensor.

[0020] The number of methane content sensors deployed shall be no less than 5-10m. 2 / Each methane content sensor operates continuously based on a preset cycle. When evaluating the methane production decay trend, the monitoring module uses the methane content sensing parameters sensed by each methane content sensor in the latest three cycles to perform the evaluation of the methane production decay trend.

[0021] Furthermore, the evaluation logic for the methane production decay trend is expressed as follows:

[0022]

[0023] Where: G is the methane production decay trend characterization value; n is the total number of methane content sensors deployed in the power plant landfill area; g i Let ω be the methane content sensed by the i-th methane content sensor; i As weight; G1 represents the methane production decay trend; G2 and G1 are the methane production decay trend characterization values ​​obtained from the methane content sensing parameters of two adjacent periods, with the period corresponding to G1 being earlier than the period corresponding to G2.

[0024] The weights are all positive numbers and follow a set order. Furthermore, the weights are determined according to the methane content sensor's location within the landfill area of ​​the power plant. The closer the landfill is to the gas production phase, the larger the weight value; conversely, the closer it is to the gas production phase, the smaller the weight value.

[0025] Based on the above formula, the methane content sensing parameters for each period are used to determine the methane production decay trend characterization value, denoted as . At this time, it indicates that the methane production status of the power plant's landfill area is healthy. This indicates that the methane production status of the power plant's landfill is unhealthy, and that the methane production decay rate calculated three times consecutively is less than 1.

[0026] Furthermore, the logic for classifying waste for incineration and landfill in the allocation module is as follows:

[0027] S1: Set the amount of waste to be replaced in a single landfill at the power plant's landfill area, and obtain the decision result on whether to incinerate or landfill the waste.

[0028] S2: If the decision is to incinerate the waste and the evaluation result is that the methane production status of the power plant's landfill is healthy, all waste will be incinerated. If the decision is to landfill the waste and the evaluation result is that the methane production status of the power plant's landfill is unhealthy, based on the single replacement volume of the landfill waste in the power plant's landfill, a corresponding amount of waste with high organic matter content will be picked up from the waste for landfilling, and the remaining waste will be incinerated.

[0029] S3: If the decision is incineration, and the evaluation result is that the methane production status of the power plant's landfill is unhealthy, then high-calorific-value and low-moisture combustible waste should be prioritized for incineration. Simultaneously, based on the single replacement volume of landfill waste in the power plant's landfill, a corresponding amount of waste with high organic matter content should be picked up for landfilling. After the high-calorific-value and low-moisture combustible waste has been exhausted through incineration, the remaining waste with high organic matter content should be incinerated. If the decision is landfill, and the evaluation result is that the methane production status of the power plant's landfill is healthy, then all waste should be incinerated.

[0030] Furthermore, the message module generates messages and transmits them to the mobile computer device held by the system user via the wireless network after each message update, and the system user reads the messages on the mobile computer.

[0031] Furthermore, the acquisition module is connected to the analysis module via a wireless network, the analysis module is connected to the accumulation unit and the correction unit via a wireless network, the analysis module is connected to the decision module and the monitoring module via a wireless network, and the monitoring module is connected to the analysis module and the message module via a wireless network.

[0032] On the other hand, methods for monitoring and evaluating the operational status of regional circular economy based on the Internet of Things include:

[0033] Waste recycling information is collected from various recycling stations in the target area. Non-combustible and metallic waste is removed from the waste. Waste recycling information is marked, distinguished, and sorted by date and source. The ratio of high organic matter to total combustible waste mass is calculated, and the treatment tendency value is obtained by combining the moisture content of both. The higher the tendency value, the more suitable it is for landfill gasification power generation, and the lower the value, the more suitable it is for incineration power generation. The treatment tendency value is compared with a user-defined threshold. If it is greater than the threshold, it is landfilled; if it is less than the threshold, it is incinerated; if it is equal, the decision is recalculated after new waste input. Methane sensors are deployed in the landfill matrix to monitor methane production periodically. The health of the production status is judged based on the methane production decay trend. Waste allocation logic is set, and waste is allocated according to the decision results and the methane production decay trend combined with the waste allocation logic. Waste allocation result reports are generated.

[0034] Compared with the known prior art, the technical solution provided by this invention has the following beneficial effects:

[0035] This invention provides a method and system for monitoring and evaluating the operational status of a regional circular economy based on the Internet of Things. In application, this method and system accurately collect multi-dimensional data such as waste attributes and weight, and combine this data with parameters such as moisture content to construct a treatment tendency model. This allows for the scientific determination of the most suitable treatment path for waste: incineration or landfill. Simultaneously, a methane production decay trend evaluation mechanism is introduced. Relying on a matrix-deployed sensor network, the gas production status of the landfill area is monitored in real time. Combined with a weighted algorithm, the gas production health is dynamically assessed, providing dual data support for waste allocation strategies. In the allocation stage, based on the linkage logic between treatment decisions and gas production status, differentiated incineration and landfill ratio strategies are designed. This ensures maximum energy recovery efficiency while simultaneously controlling methane emission decay through dynamic replacement of landfill volume. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0037] Figure 1 A schematic diagram of a regional circular economy operation status monitoring and evaluation system based on the Internet of Things;

[0038] Figure 2 This is a flowchart illustrating a method for monitoring and evaluating the operational status of a regional circular economy based on the Internet of Things. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0040] The present invention will be further described below with reference to embodiments.

[0041] Example 1:

[0042] This embodiment presents an IoT-based regional circular economy operation status monitoring and evaluation system, such as... Figure 1 As shown, it includes:

[0043] The data collection module is used to collect waste recycling-related information from the target area and to compile statistics on this information.

[0044] The data acquisition module collects relevant information on waste recycling in the target area from various waste recycling stations in the target area. This relevant information includes: waste attributes and the weight of waste with each attribute.

[0045] Waste attributes include: waste with high organic matter content, and combustible waste with high calorific value and low moisture content;

[0046] After recycling the waste, the waste collection station removes non-combustible and metal waste from the waste before transporting it to the power plant.

[0047] Among them, all waste recycling-related information is marked with the date and the name or address of the waste recycling station from which it originates. When the data collection module performs statistics on waste recycling-related information, it distinguishes the waste recycling-related information by the name or address marked on the waste recycling-related information, and then sorts the waste recycling-related information in the distinguished intervals based on the marked date.

[0048] The analysis module receives waste recycling-related information from the data collection module and analyzes waste disposal trends based on this information.

[0049] The analysis module is equipped with an accumulation unit and a correction unit. The accumulation unit is used to accumulate the weight of each type of waste transported from each waste recycling station to the power plant and to calculate the ratio of the total accumulated weight of each type of waste. The correction unit is used to receive the ratio of the total accumulated weight of each type of waste from the accumulation unit, correct the ratio, and record the correction result as the waste treatment tendency.

[0050]

[0051] In the formula: f is the waste disposal tendency value; k is the ratio of the total mass x of waste with high organic matter content to the total mass y of combustible waste with high calorific value and low moisture content. x The overall moisture content of waste with high organic matter content; k y The overall moisture content of combustible waste with high calorific value and low moisture content;

[0052] Where, the larger the value of f, the more suitable the power plant is for landfill gas generation; the smaller the value of f, the more suitable the power plant is for direct combustion power generation.

[0053] The above formula is used to limit the calculation logic of the waste disposal tendency value f;

[0054] The decision module is used to obtain the waste treatment tendency analysis results from the analysis module, set the waste treatment decision threshold, and make a decision on whether to incinerate or landfill the waste based on the comparison between the waste treatment decision threshold and the obtained analysis results.

[0055] In the decision-making module, the waste disposal decision threshold is defined by the system user. When making a decision on whether to incinerate or landfill the waste, the decision-making module compares the waste disposal decision threshold with the waste disposal tendency value f. If the waste disposal tendency value f is greater than the waste disposal decision threshold, the waste is landfilled; if the waste disposal tendency value f is less than the waste disposal decision threshold, the waste is incinerated.

[0056] When the waste disposal tendency value f equals the waste disposal decision threshold, the power plant waits for the waste recycling station to send waste to it again. After the power plant receives new waste, the relevant information of the newly received waste is applied to the calculation of the waste disposal tendency value f, and then a decision is made on whether to incinerate or landfill the waste.

[0057] The monitoring module is used to monitor methane production in the landfill area of ​​the power plant in real time and evaluate the methane production decay trend based on the methane production detection results.

[0058] During the monitoring module configuration phase, methane content sensors are deployed in a matrix in the landfill area of ​​the power plant, and the methane production in the landfill area of ​​the power plant is monitored synchronously based on each deployed methane content sensor.

[0059] The number of methane content sensors deployed should be no less than 5-10m. 2 Each methane content sensor operates continuously based on a preset cycle. When the monitoring module evaluates the methane production decay trend, it uses the methane content sensing parameters sensed by each methane content sensor in the latest three cycles to perform the evaluation of the methane production decay trend.

[0060] The evaluation logic for the decay trend of methane production is expressed as follows:

[0061]

[0062] Where: G is the methane production decay trend characterization value; n is the total number of methane content sensors deployed in the power plant landfill area; g i Let ω be the methane content sensed by the i-th methane content sensor; i As weight; G1 represents the methane production decay trend; G2 and G1 are the methane production decay trend characterization values ​​obtained from the methane content sensing parameters of two adjacent periods, with the period corresponding to G1 being earlier than the period corresponding to G2.

[0063] The weights are all positive numbers and follow a set order. Furthermore, the weights are determined according to the methane content sensor's location within the landfill area of ​​the power plant. The closer the landfill is to the gas production phase, the larger the weight value; conversely, the closer it is to the gas production phase, the smaller the weight value.

[0064] Based on the above formula, the methane content sensing parameters for each period are used to determine the methane production decay trend characterization value, denoted as . At this time, it indicates that the methane production status of the power plant's landfill area is healthy. This indicates that the methane production status of the power plant's landfill is unhealthy, and the methane production decay rate calculated three times consecutively is less than 1.

[0065] The above formula is used to quantify the decay trend of methane production, providing necessary operational data support for the operation of the system's allocation module and its subsequent modules in this embodiment.

[0066] The allocation module is used to receive the decision results of the decision module on whether to incinerate or landfill the waste, and the evaluation results of the methane production decay trend in the monitoring module. Based on the decision results and evaluation results, the module allocates the currently collected waste for incineration or landfill.

[0067] The logic for classifying waste for incineration and landfill in the allocation module is as follows:

[0068] S1: Set the amount of waste to be replaced in a single landfill at the power plant's landfill area, and obtain the decision result on whether to incinerate or landfill the waste.

[0069] S2: If the decision is to incinerate the waste and the evaluation result is that the methane production status of the power plant's landfill is healthy, all waste will be incinerated. If the decision is to landfill the waste and the evaluation result is that the methane production status of the power plant's landfill is unhealthy, based on the single replacement volume of the landfill waste in the power plant's landfill, a corresponding amount of waste with high organic matter content will be picked up from the waste for landfilling, and the remaining waste will be incinerated.

[0070] S3: If the decision is incineration and the evaluation result is that the methane production status of the power plant's landfill is unhealthy, priority should be given to incinerating high-calorific-value and low-moisture combustible waste. Simultaneously, based on the single replacement volume of landfill waste in the power plant's landfill, a corresponding amount of waste with high organic matter content should be picked up for landfilling. After the high-calorific-value and low-moisture combustible waste has been used up through incineration, the remaining waste with high organic matter content should be incinerated. If the decision is landfilling and the evaluation result is that the methane production status of the power plant's landfill is healthy, all waste should be incinerated.

[0071] The message module is used to continuously acquire garbage allocation results from the allocation module, mark the allocation results with timestamps of the allocation operation, and generate messages using the continuously acquired garbage allocation results marked with timestamps.

[0072] The message module generates messages and transmits them to the mobile computer device held by the system user via the wireless network after each message update. The system user then reads the messages on the mobile computer.

[0073] The acquisition module interacts with the analysis module via a wireless network. The analysis module interacts with the accumulation unit and correction unit via a wireless network. The analysis module interacts with the decision module and monitoring module via a wireless network. The monitoring module interacts with the analysis module and message module via a wireless network.

[0074] In this embodiment, the acquisition module collects waste recycling information related to the target area and performs statistical analysis on it. The analysis module then receives the waste recycling information collected by the acquisition module and analyzes waste disposal trends based on this information. The accumulation unit simultaneously accumulates the weight of waste of various attributes transported from each recycling station to the power plant and calculates the ratio of the total accumulated weight of each attribute. The correction unit receives the ratio of the total accumulated weight of each attribute from the accumulation unit in real time, corrects the ratio, and records the correction result as the waste disposal trend. The decision module further obtains the waste disposal trend analysis results from the analysis module, sets a waste disposal decision threshold, and bases the decision on waste disposal... The decision threshold is compared with the acquired analysis results to determine whether the waste should be incinerated or landfilled. The monitoring module then monitors the methane production in the power plant's landfill area in real time, evaluates the methane decay trend based on the methane production detection results, and receives the decision result of incineration or landfilling from the decision module and the evaluation result of the methane decay trend from the monitoring module through the allocation module. Based on the decision result and evaluation result, the currently collected waste is allocated for incineration or landfilling. Finally, the message module continuously acquires the waste allocation results from the allocation module, marks the timestamp of the allocation operation for the allocation results, and generates a message using the continuously acquired waste allocation results marked with timestamps.

[0075] Through the operation of the system in the above embodiments, monitoring, management and evaluation are provided for scenarios where waste is used as fuel for power generation, ensuring a stable and balanced power generation process.

[0076] Example 2:

[0077] At the implementation level, based on Example 1, this example refers to... Figure 2 The following is a further detailed description of the IoT-based regional circular economy operation status monitoring and evaluation system in Example 1:

[0078] Methods for monitoring and evaluating the operational status of regional circular economy based on the Internet of Things include:

[0079] Step 1: Collect waste recycling information from various waste recycling stations in the target area, remove non-combustible and metal waste from the waste, and mark, distinguish, sort and count the waste recycling information by date and source;

[0080] Step 2: Calculate the ratio of high organic matter to total mass of combustible waste, and combine it with the moisture content of both to obtain a treatment tendency value. The larger the tendency value, the more suitable it is for landfill gasification power generation, and the smaller the value, the more suitable it is for incineration power generation.

[0081] Step 3: Compare the processing tendency value with the user-defined threshold. If it is greater than the threshold, it will be landfilled; if it is less than the threshold, it will be incinerated; if it is equal, wait for new waste input and recalculate the decision.

[0082] Step 4: Deploy methane sensors in a matrix within the landfill area to monitor methane production periodically, and determine the health of the production status based on the methane production decay trend.

[0083] Step 5: Set up waste allocation logic, and allocate waste based on the decision results and the decay trend of methane production in combination with the waste allocation logic;

[0084] Step 6: Generate garbage allocation result message.

[0085] In summary, the methods and systems described in the above embodiments, through precise collection of multi-dimensional data such as waste attributes and weight, combined with parameters such as moisture content to construct a treatment tendency model, can scientifically determine the more suitable treatment path for waste to be incinerated or landfilled. At the same time, a methane production decay status evaluation mechanism is introduced, relying on a matrix-deployed sensor to monitor the gas production status of the landfill in real time, and combining a weighted algorithm to dynamically evaluate the gas production health, providing dual data support for waste allocation strategies. In the allocation stage, based on the linkage logic between treatment decisions and gas production status, differentiated incineration and landfill ratio strategies are designed, which not only maximizes energy recovery efficiency, but also achieves methane emission decay control through dynamic replacement of landfill volume.

[0086] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A regional circular economy operation status monitoring and evaluation system based on the Internet of Things, characterized in that, include: The data collection module is used to collect waste recycling-related information from the target area and to compile statistics on this information. The analysis module receives waste recycling-related information from the data collection module and analyzes waste disposal trends based on this information. The decision module is used to obtain the waste treatment tendency analysis results from the analysis module, set the waste treatment decision threshold, and make a decision on whether to incinerate or landfill the waste based on the comparison between the waste treatment decision threshold and the obtained analysis results. The monitoring module is used to monitor methane production in the landfill area of ​​the power plant in real time and evaluate the methane production decay trend based on the methane production detection results. During the configuration phase of the monitoring module, methane content sensors are deployed in a matrix in the landfill area of ​​the power plant, and the methane production in the landfill area of ​​the power plant is monitored synchronously based on each deployed methane content sensor. The number of methane content sensors deployed shall not be less than 5 to 10 m² / unit. The methane content sensors shall operate continuously based on a preset cycle. When the monitoring module evaluates the methane production decay trend, it shall use the methane content sensing parameters sensed by each methane content sensor in the latest three cycles to perform the evaluation of the methane production decay trend. The evaluation logic for the methane production decay trend is expressed as follows: ； In the formula: This is a characterization value for the decay trend of methane production; Total number of methane content sensors deployed in power plant landfill areas; Let be the methane content sensed by the i-th methane content sensor; As weight; This represents the decline in methane production. The methane production decay trend characterization value is obtained from the methane content sensing parameters of two adjacent cycles. The corresponding cycle is earlier than Corresponding period; The weights are all positive numbers and follow a set order. Furthermore, the weights are determined by the fact that the closer the landfill is to the gas production stage, the larger the weight value is, and vice versa. Based on the above formula, the methane content sensing parameters for each period are used to determine the methane production decay trend characterization value, denoted as . , At this time, it indicates that the methane production status of the power plant's landfill area is healthy. This indicates that the methane production status of the power plant's landfill is unhealthy, and when the methane production decay rate is less than 1 in three consecutive calculations, it indicates that the methane production status of the power plant's landfill is unhealthy. The allocation module is used to receive the decision results of the decision module on whether to incinerate or landfill the waste, and the evaluation results of the methane production decay trend in the monitoring module. Based on the decision results and evaluation results, the module allocates the currently collected waste for incineration or landfill. The message module is used to continuously acquire garbage allocation results from the allocation module, mark the allocation results with timestamps of the allocation operation, and generate messages using the continuously acquired garbage allocation results marked with timestamps.

2. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things as described in claim 1, characterized in that, The data acquisition module collects relevant information about waste recycling in the target area from various waste recycling stations in the target area. The relevant information about waste recycling in the target area includes: waste attributes and the weight of waste with each attribute. The waste attributes include: waste with high organic matter content, and combustible waste with high calorific value and low moisture content; After the waste collection station collects the waste, it simultaneously removes non-combustible and metal waste from the waste before transporting it to the power plant. The waste recycling information is marked with the date and the name or address of the waste recycling station from which it originates. When the data collection module collects statistics on the waste recycling information, it distinguishes the waste recycling information by the name or address marked on the waste recycling information, and then sorts the waste recycling information in the distinguished intervals based on the marked date.

3. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things as described in claim 1, characterized in that, The analysis module is equipped with an accumulation unit and a correction unit. The accumulation unit is used to accumulate the weight of each type of waste transported from each waste recycling station to the power plant and to calculate the ratio of the total accumulated weight of each type of waste. The correction unit is used to receive the ratio of the total accumulated weight of each type of waste from the accumulation unit, correct the ratio, and record the correction result as the waste treatment tendency. ； In the formula: This represents the tendency to dispose of waste. It is the ratio of the total mass x of waste with high organic matter content to the total mass y of combustible waste with high calorific value and low moisture content; The overall moisture content of waste with high organic matter content; The overall moisture content of combustible waste with high calorific value and low moisture content; in, The larger the value, the more suitable the waste is for landfill gas collection and power generation at the power plant. The smaller the value, the more suitable the power plant is for directly burning waste to generate electricity.

4. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things as described in claim 1, characterized in that, The waste disposal decision threshold in the decision-making module is user-defined on the system side. When making a decision on whether to incinerate or landfill waste, the decision-making module bases the waste disposal decision threshold on the waste disposal tendency value. Comparison, waste disposal propensity When the waste disposal decision threshold is exceeded, the waste will be disposed of in a landfill. (Waste disposal tendency value) When the waste level is below the waste disposal decision threshold, the waste is incinerated. Waste disposal propensity When the threshold for waste disposal decisions is reached, the power plant waits for the waste recycling station to send waste back to it. After the power plant receives new waste, the relevant information about the newly received waste is applied to the waste disposal tendency value. The calculations then inform the decision on whether to incinerate or landfill the waste.

5. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things as described in claim 1, characterized in that, The logic for classifying waste for incineration and landfill in the allocation module is as follows: S1: Set the amount of waste to be replaced in a single landfill at the power plant's landfill area, and obtain the decision result on whether to incinerate or landfill the waste. S2: If the decision is to incinerate the waste and the evaluation result is that the methane production status of the power plant's landfill is healthy, all waste will be incinerated. If the decision is to landfill the waste and the evaluation result is that the methane production status of the power plant's landfill is unhealthy, based on the single replacement volume of the landfill waste in the power plant's landfill, a corresponding amount of waste with high organic matter content will be picked up from the waste for landfilling, and the remaining waste will be incinerated. S3: If the decision is incineration, and the evaluation result is that the methane production status of the power plant's landfill is unhealthy, then high-calorific-value and low-moisture combustible waste should be prioritized for incineration. Simultaneously, based on the single replacement volume of landfill waste in the power plant's landfill, a corresponding amount of waste with high organic matter content should be picked up for landfilling. After the high-calorific-value and low-moisture combustible waste has been exhausted through incineration, the remaining waste with high organic matter content should be incinerated. If the decision is landfill, and the evaluation result is that the methane production status of the power plant's landfill is healthy, then all waste should be incinerated.

6. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things as described in claim 1, characterized in that, The message module generates messages and transmits them to the mobile computer device held by the system user via the wireless network after each message update. The system user then reads the messages on the mobile computer.

7. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things as described in claim 1, characterized in that, The acquisition module interacts with the analysis module via a wireless network. The analysis module interacts with the accumulation unit and the correction unit via a wireless network. The analysis module interacts with the decision module and the monitoring module via a wireless network. The monitoring module interacts with the analysis module and the message module via a wireless network.

8. A method for monitoring and evaluating the operational status of a regional circular economy based on the Internet of Things (IoT), wherein the method is an implementation method of the regional circular economy operational status monitoring and evaluation system based on the IoT as described in any one of claims 1-7, characterized in that... include: Step 1: Collect waste recycling information from various waste recycling stations in the target area, remove non-combustible and metal waste from the waste, and mark, distinguish, sort and count the waste recycling information by date and source; Step 2: Calculate the ratio of high organic matter to total mass of combustible waste, and combine it with the moisture content of both to obtain a treatment tendency value. The larger the tendency value, the more suitable it is for landfill gasification power generation, and the smaller the value, the more suitable it is for incineration power generation. Step 3: Compare the processing tendency value with the user-defined threshold. If it is greater than the threshold, it will be landfilled; if it is less than the threshold, it will be incinerated; if it is equal, wait for new waste input and recalculate the decision. Step 4: Deploy methane sensors in a matrix within the landfill area to monitor methane production periodically, and determine the health of the production status based on the methane production decay trend. Step 5: Set up waste allocation logic, and allocate waste based on the decision results and the decay trend of methane production in combination with the waste allocation logic; Step 6: Generate garbage allocation result message.

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