Regional circular economy operation state monitoring and evaluation method and system based on Internet of Things

Abstract

The invention discloses a regional circular economy operation state monitoring and evaluation method and system based on the Internet of Things, and relates to the field of data analysis, and the method comprises a collection module which is used for collecting the garbage collection related information of a target region, and carrying out the statistics of the garbage collection related information; the analysis module is used for receiving the garbage collection related information counted in the collection module and analyzing the garbage treatment tendency based on the garbage collection related information; multi-dimensional data such as garbage attributes and weight are accurately collected, a treatment tendency model is built in combination with parameters such as water content, a treatment path where garbage is more suitable for incineration or landfill can be scientifically judged, meanwhile, a methane yield decay situation evaluation mechanism is introduced, the gas production state of a landfill area is monitored in real time by means of sensors deployed in a matrix mode, and the method has the advantages of being high in practicability and easy to popularize. The gas production health degree is dynamically evaluated in combination with a weight algorithm, and dual data support is provided for a garbage distribution strategy.

Description

Technical Field

[0001] The present invention relates to the field of data analysis technology, and in particular to a method and system for monitoring and evaluating the operating status of a regional circular economy based on the Internet of Things. Background Art

[0002] Waste incineration power generation generates heat energy by burning waste at high temperatures to drive turbines to generate electricity, while landfill power generation uses the biogas produced by fermentation after landfill to burn and generate electricity. Both are in line with the characteristics of a circular economy.

[0003] The invention patent application with application number 202310265620.7 discloses a fuel management system for a thermal power plant, including a material preparation system, a storage planning system, a combustion and power generation system, and a detection and recording system. The material preparation system is internally provided with an entry and exit management module, a sampling and analysis module, and a coal statistics module; the storage planning system is internally provided with a surplus monitoring module, a retrieval recording module, and a manual intervention module; the combustion and power generation system is internally provided with a combustion estimation module, a coal processing module, a generator set module, and an exhaust gas monitoring module; the detection and recording system is internally provided with an information editing module and a data collection module. This application aims to solve the problem that "fuel management is the lifeline of the operation of thermal power enterprises. The current fuel management model used has many links, the production equipment involved is relatively scattered, and is greatly affected by human factors, and there is widespread false, untrue, and inaccurate fuel data."

[0004] However, in the scenario of generating electricity from garbage, existing technologies do not implement effective management of garbage power generation methods (i.e. incineration power generation and landfill gas power generation). Most decisions are made independently by relevant staff, making it difficult to further improve the efficiency of garbage power generation. Summary of the Invention

[0005] In response to the above-mentioned shortcomings of the existing technology, the present invention provides a regional circular economy operation status monitoring and evaluation method and system 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] The present invention discloses a regional circular economy operation status monitoring and evaluation system based on the Internet of Things, comprising:

[0008] The collection module is used to collect information related to garbage collection in the target area and to collect statistics on the information related to garbage collection; the analysis module is used to receive the information related to garbage collection collected in the collection module and analyze the garbage disposal tendency based on the information related to garbage collection; the decision module is used to obtain the garbage disposal tendency analysis results in the analysis module, set the garbage disposal decision threshold, and decide whether to incinerate or landfill the garbage based on the comparison between the garbage disposal decision threshold and the obtained analysis results; the monitoring module is used to monitor the methane production in the power plant landfill area in real time and evaluate the methane production decay trend based on the methane production detection results; the allocation module is used to receive the decision results of whether to incinerate or landfill the garbage in the decision module and the evaluation results of the methane production decay trend in the monitoring module, and allocate the currently collected garbage for incineration or landfill based on the decision results and the evaluation results; the message module is used to continuously obtain the garbage allocation results in the allocation module, mark the allocation results with the timestamp of the execution of the allocation operation, and generate messages using the continuously obtained garbage allocation results marked with the timestamp.

[0009] Furthermore, the target area garbage collection related information collected by the collection module comes from each garbage recycling station in the target area, and the target area garbage collection related information includes: garbage attributes and weight of garbage of each attribute;

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

[0011] After recycling the garbage, the garbage recycling station will simultaneously remove the non-combustible and metal garbage from the garbage and then transport them to the power plant;

[0012] Among them, the garbage recycling related information is marked with the date and the name or address of the source garbage recycling station. When the collection module collects statistics on the garbage recycling related information, it distinguishes the garbage recycling related information by the name or address marked with the garbage recycling related information, and then sorts the garbage recycling related information in the distinguished interval based on the marked date.

[0013] Furthermore, the analysis module is provided with an accumulation unit and a correction unit at a lower level. The accumulation unit is used to accumulate the weight of each attribute of garbage transported to the power plant by each garbage recycling station and calculate the ratio of the total accumulated weight of the garbage of each attribute. The correction unit is used to receive the ratio of the total accumulated weight of the garbage of each attribute in the accumulation unit, correct the comparison value, and record the correction result as the garbage disposal tendency.

[0014]

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

[0016] Among them, the larger the f is, the more suitable it is for the power plant to receive garbage and collect gas for power generation, and the smaller f is, the more suitable it is for the power plant to receive garbage and collect gas for power generation.

[0017] Furthermore, the garbage disposal decision threshold in the decision module is customized by the system end user. When the decision module makes a decision on whether to incinerate or landfill the garbage, it compares the garbage disposal decision threshold with the garbage disposal tendency value f. When the garbage disposal tendency value f is greater than the garbage disposal decision threshold, the garbage is landfilled; when the garbage disposal tendency value f is less than the garbage disposal decision threshold, the garbage is incinerated.

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

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

[0020] The number of methane content sensors deployed is no less than 5 to 10 m 2 / , the methane content sensor operates continuously based on a preset cycle, and when the monitoring module evaluates the methane production decay trend, the methane content sensing parameters sensed by each methane content sensor in the latest three cycles are used to perform the evaluation of the methane production decay trend.

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

[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 is the methane content sensed by the i-th methane content sensor; ω i is the weight; is the methane production decay trend; G1 and G2 are the methane production decay trend representation values ​​obtained by the methane content sensing parameters sensed in two adjacent periods, and the period corresponding to G1 is earlier than the period corresponding to G2;

[0024] Among them, the weights are all positive and obey And the weight corresponds to the methane content sensor in the landfill area of ​​the power plant where the landfill garbage is located. The closer it is to the mid-gas production period, the greater the weight value is, and vice versa.

[0025] Based on the above formula, the methane content sensing parameters of each period are used to obtain the methane production decay trend representation value, which is recorded as When , it means that the methane output of the power plant landfill area is healthy. It indicates that the methane production status of the power plant landfill area is unhealthy, and when the methane production decay trend obtained for three consecutive times is less than 1, it indicates that the methane production status of the power plant landfill area is unhealthy.

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

[0027] S1: Set the single replacement amount of landfill waste in the power plant landfill area and obtain the decision result of whether to incinerate or landfill the waste;

[0028] S2: If the decision is for incineration and the evaluation result shows that the methane output status of the power plant landfill is healthy, all garbage will be incinerated. If the decision is for landfill and the evaluation result shows that the methane output status of the power plant landfill is unhealthy, based on the single replacement volume of landfilled garbage in the power plant landfill, a corresponding amount of garbage with high organic content will be picked up for landfill, and the remaining garbage will be incinerated.

[0029] S3: When the decision result is incineration treatment and the evaluation result shows that the methane output status of the power plant landfill area is unhealthy, priority is given to incineration treatment of combustible waste with high calorific value and low moisture content. Simultaneously, based on the single replacement volume of landfill waste in the power plant landfill area, a corresponding amount of waste with high organic content is picked up for landfill. After the combustible waste with high calorific value and low moisture content is used up by incineration treatment, the remaining waste with high organic content is incinerated. When the decision result is landfill treatment and the evaluation result shows that the methane output status of the power plant landfill area is healthy, all waste is incinerated.

[0030] Furthermore, the message module generates a message and transmits it to the mobile computer device held by the system end user through the wireless network after each message update, and the system end user reads the message on the mobile computer.

[0031] Furthermore, the lower level of the acquisition module is interactively connected with the analysis module through a wireless network, the lower level of the analysis module is interactively connected with the accumulation unit and the correction unit through a wireless network, the analysis module is interactively connected with the decision module and the monitoring module through a wireless network, and the monitoring module is interactively connected with the analysis module and the message module through a wireless network.

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

[0033] Collect garbage recycling information from each garbage recycling station in the target area, eliminate non-combustible and metal garbage from the garbage, and mark, distinguish, sort and count the garbage recycling information by date and source; calculate the total mass ratio of high organic matter to combustible garbage, and correct it with the moisture content of the two to obtain the treatment tendency value, so that the larger the tendency value, the more suitable it is for landfill gas production power generation, and the smaller the tendency value, the more suitable it is for incineration power generation; compare the treatment tendency value with the user-defined threshold, and landfill if it is greater than the threshold, incinerate if it is less than the threshold, and wait for new garbage to be input when it is equal to the threshold before recalculating the decision; deploy methane sensors in the landfill area matrix, monitor methane production on a periodic basis, and judge whether the output status is healthy based on the decay trend of methane production; set the garbage allocation logic, and allocate garbage based on the decision result and the methane production decay trend combined with the garbage allocation logic; generate a garbage allocation result message.

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

[0035] The present invention provides a method and system for monitoring and evaluating the operation status of a regional circular economy based on the Internet of Things. During application, this method and system accurately collect multidimensional data such as garbage attributes and weight, and combine parameters such as moisture content to construct a treatment tendency model. This method and system can scientifically determine whether the garbage treatment path is more suitable for incineration or landfill. At the same time, a methane production decay trend evaluation mechanism is introduced. Matrix-deployed sensors are used to monitor the gas production status of the landfill area in real time, and a weight algorithm is used to dynamically evaluate the health of gas production, providing dual data support for the garbage allocation strategy. In the allocation link, based on the linkage logic of treatment decision-making and gas production status, differentiated incineration and landfill ratio strategies are designed to ensure maximum energy recovery efficiency and achieve methane emission decay prevention and control through dynamic replacement of landfill volume. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

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

[0038] Figure 2 This is a flow chart of the regional circular economy operation status monitoring and evaluation method based on the Internet of Things. DETAILED DESCRIPTION

[0039] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

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

[0041] Example 1:

[0042] The regional circular economy operation status monitoring and evaluation system based on the Internet of Things in this embodiment is as follows: Figure 1 Shown, including:

[0043] The collection module is used to collect information related to garbage collection in the target area and to collect statistics on the information related to garbage collection;

[0044] The target area garbage collection related information collected by the collection module comes from each garbage recycling station in the target area. The target area garbage collection related information includes: garbage attributes and the weight of garbage of each attribute;

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

[0046] After recycling the garbage, the garbage recycling station will simultaneously remove the non-combustible and metal garbage from the garbage and then transport it to the power plant;

[0047] The garbage collection related information is all marked with a date and the name or address of the source garbage collection station. When the collection module collects statistics on the garbage collection related information, it distinguishes the garbage collection related information by the name or address marked with the garbage collection related information, and then sorts the garbage collection related information in the distinguished intervals based on the marked date;

[0048] An analysis module is used to receive the garbage collection related information collected by the collection module and analyze the garbage disposal trend based on the garbage collection related information;

[0049] The analysis module is equipped with an accumulation unit and a correction unit at the lower level. The accumulation unit is used to accumulate the weight of garbage of various attributes transported to the power plant by each garbage recycling station and calculate the ratio of the total accumulated weight of garbage of various attributes. The correction unit is used to receive the ratio of the total accumulated weight of garbage of various attributes in the accumulation unit, correct the comparison value, and record the correction result as the garbage treatment tendency.

[0050]

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

[0052] The larger the f, the more suitable it is for the power plant to receive garbage for landfill gas collection and power generation, and the smaller the f, the more suitable it is for the power plant to receive garbage for direct combustion and power generation.

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

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

[0055] The garbage disposal decision threshold in the decision module is customized by the system end user. When the decision module makes a decision on whether to incinerate or landfill the garbage, it compares the garbage disposal decision threshold with the garbage disposal tendency value f. When the garbage disposal tendency value f is greater than the garbage disposal decision threshold, the garbage is landfilled. When the garbage disposal tendency value f is less than the garbage disposal decision threshold, the garbage 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 deliver waste to it again. After the power plant receives new waste, it applies the relevant information of the new waste to the calculation of the waste disposal tendency value f and then makes a decision on whether to incinerate or landfill the waste.

[0057] A monitoring module is used to monitor methane production in the power plant landfill area 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 pattern in the power plant landfill area. The methane production in the power plant landfill area is monitored synchronously based on the deployed methane content sensors.

[0059] The number of methane content sensors deployed is no less than 5 to 10 meters. 2 / , the 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 of methane production decay trend is expressed as:

[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 is the methane content sensed by the i-th methane content sensor; ω i is the weight; is the methane production decay trend; G1 and G2 are the methane production decay trend representation values ​​obtained by the methane content sensing parameters sensed in two adjacent periods, and the period corresponding to G1 is earlier than the period corresponding to G2;

[0063] Among them, the weights are all positive and obey And the weight corresponds to the methane content sensor in the landfill area of ​​the power plant where the landfill garbage is located. The closer it is to the mid-gas production period, the greater the weight value is, and vice versa.

[0064] Based on the above formula, the methane content sensing parameters of each period are used to obtain the methane production decay trend representation value, which is recorded as When , it means that the methane output of the power plant landfill area is healthy. It indicates that the methane production status of the power plant landfill area is unhealthy, and when the methane production decay trend obtained for three consecutive times is less than 1, it indicates that the methane production status of the power plant landfill area is unhealthy;

[0065] The above formula is used to quantitatively calculate the methane production decay trend, providing necessary operating data support for the distribution module and subsequent modules of the system in this embodiment;

[0066] The allocation module is used to receive the decision result of whether to incinerate or landfill the garbage in the decision module and the evaluation result of the methane production decay trend in the monitoring module, and allocate the currently collected garbage for incineration or landfill based on the decision result and the evaluation result;

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

[0068] S1: Set the single replacement amount of landfill waste in the power plant landfill area and obtain the decision result of whether to incinerate or landfill the waste;

[0069] S2: If the decision is for incineration and the evaluation result shows that the methane output status of the power plant landfill is healthy, all garbage will be incinerated. If the decision is for landfill and the evaluation result shows that the methane output status of the power plant landfill is unhealthy, based on the single replacement volume of landfilled garbage in the power plant landfill, a corresponding amount of garbage with high organic content will be picked up for landfill, and the remaining garbage will be incinerated.

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

[0071] A message module is used to continuously obtain the garbage allocation results in the allocation module, mark the allocation results with the timestamp of the allocation operation, and generate messages using the continuously obtained garbage allocation results marked with the timestamp;

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

[0073] The lower level of the acquisition module is interactively connected with the analysis module through a wireless network. The lower level of the analysis module is interactively connected with the accumulation unit and the correction unit through a wireless network. The analysis module is interactively connected with the decision module and the monitoring module through a wireless network. The monitoring module is interactively connected with the analysis module and the message module through a wireless network.

[0074] In this embodiment, the collection module collects information related to garbage recycling in the target area and collects statistics on the information related to garbage recycling. The analysis module is post-operated to receive the information related to garbage recycling collected in the collection module, and analyzes the garbage disposal tendency based on the information related to garbage recycling. The accumulation unit synchronously accumulates the weight of garbage of each attribute transported from each garbage recycling station to the power plant, and obtains the ratio of the total accumulated weight of garbage of each attribute. The correction unit receives the ratio of the total accumulated weight of garbage of each attribute in the accumulation unit in real time, corrects the comparison value, and records the correction result as the garbage disposal tendency. The decision module further obtains the garbage disposal tendency analysis result in the analysis module, sets the garbage disposal decision threshold, and determines the garbage disposal decision based on the garbage disposal decision. The decision threshold is compared with the obtained analysis results to decide whether to incinerate or landfill the garbage. The monitoring module is then used to monitor the methane production in the power plant landfill area in real time, evaluate the methane production decay trend based on the methane production detection results, and receive the decision results of whether to incinerate or landfill the garbage in the decision module and the evaluation results of the methane production decay trend in the monitoring module through the allocation module. Based on the decision results and the evaluation results, the currently collected garbage is allocated for incineration and landfill. Finally, the message module continuously obtains the garbage allocation results in the allocation module, marks the allocation results with the timestamp of the allocation operation, and generates messages using the continuously obtained garbage allocation results marked with the timestamp.

[0075] Through the operation of the system in the above embodiment, monitoring, management and evaluation are provided for the scenario of using garbage as fuel for power generation, ensuring a stable and balanced power generation process.

[0076] Example 2:

[0077] In terms of specific implementation, based on Example 1, this example refers to Figure 2 The regional circular economy operation status monitoring and evaluation system based on the Internet of Things in Example 1 is further described in detail:

[0078] The regional circular economy operation status monitoring and evaluation method based on the Internet of Things includes:

[0079] Step 1: Collect waste recycling information from each waste recycling station in the target area, remove non-combustible and metal waste from the waste, and mark, distinguish, sort and compile statistics of the waste recycling information by date and source;

[0080] Step 2: Calculate the total mass ratio of high organic matter to combustible waste, and correct it by combining the moisture content of the two to obtain the treatment tendency value. A larger tendency value indicates a more suitable landfill for gas generation power generation, while a smaller tendency value indicates a more suitable incineration for power generation.

[0081] Step 3: Compare the treatment tendency value with the user-defined threshold. If it is greater than the threshold, landfill is carried out; if it is less than the threshold, incineration is carried out; if it is equal, wait for new garbage to be input and then recalculate the decision;

[0082] Step 4: Deploy methane sensors in the landfill matrix to periodically monitor methane production and determine whether the production status is healthy based on the decay trend of methane production;

[0083] Step 5: Set the garbage allocation logic and allocate garbage based on the decision results and the methane production decay trend;

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

[0085] In summary, during the application process of the methods and systems in the above embodiments, by accurately collecting multi-dimensional data such as garbage attributes and weight, and combining parameters such as moisture content to construct a treatment tendency model, it can scientifically determine whether the garbage is more suitable for incineration or landfill treatment. At the same time, a methane production decay trend evaluation mechanism is introduced, relying on matrix-deployed sensors to monitor the gas production status of the landfill area in real time, and combining a weight algorithm to dynamically evaluate the health of gas production, providing dual data support for the garbage allocation strategy. In the allocation link, based on the linkage logic of treatment decisions and gas production status, differentiated incineration and landfill ratio strategies are designed to ensure maximum energy recovery efficiency and achieve methane emission decay prevention and control through dynamic replacement of landfill volume.

[0086] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things is characterized by: include: The collection module is used to collect information related to garbage collection in the target area and to collect statistics on the information related to garbage collection; An analysis module is used to receive the garbage collection related information collected by the collection module and analyze the garbage disposal trend based on the garbage collection related information; The decision module is used to obtain the waste disposal tendency analysis results from the analysis module, set the waste disposal decision threshold, and decide whether to incinerate or landfill the waste based on the comparison between the waste disposal decision threshold and the obtained analysis results; A monitoring module is used to monitor methane production in the power plant landfill area in real time and evaluate the methane production decay trend based on the methane production detection results; The allocation module is used to receive the decision result of whether to incinerate or landfill the garbage in the decision module and the evaluation result of the methane production decay trend in the monitoring module, and allocate the currently collected garbage for incineration or landfill based on the decision result and the evaluation result; The message module is used to continuously obtain the garbage allocation results in the allocation module, mark the timestamp of executing the allocation operation for the allocation results, and generate messages using the continuously obtained garbage allocation results marked with the timestamp.

2. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 1 is characterized in that: The target area garbage collection related information collected by the collection module comes from each garbage collection station in the target area, and the target area garbage collection related information includes: garbage attributes and weight of garbage of each attribute; The garbage attributes include: garbage with high organic content, combustible garbage with high calorific value and low moisture content; After recycling the garbage, the garbage recycling station will simultaneously remove the non-combustible and metal garbage from the garbage and then transport them to the power plant; Among them, the garbage recycling related information is marked with the date and the name or address of the source garbage recycling station. When the collection module collects statistics on the garbage recycling related information, it distinguishes the garbage recycling related information by the name or address marked with the garbage recycling related information, and then sorts the garbage recycling related information in the distinguished interval based on the marked date.

3. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 1 is characterized in that: The analysis module is provided with an accumulation unit and a correction unit at the lower level. The accumulation unit is used to accumulate the weight of each attribute of garbage transported to the power plant by each garbage recycling station and calculate the ratio of the total accumulated weight of each attribute of garbage. The correction unit is used to receive the ratio of the total accumulated weight of each attribute of garbage in the accumulation unit, correct the comparison value, and record the correction result as the garbage disposal tendency. Where: f is the garbage disposal tendency value; k is the ratio of the total mass x of garbage with high organic matter content to the total mass y of combustible garbage with high calorific value and low moisture content; x k is the overall moisture content of garbage with high organic matter content; y The overall moisture content of combustible waste with high calorific value and low moisture content; Among them, the larger the f is, the more suitable it is for the power plant to receive garbage and collect gas for power generation, and the smaller f is, the more suitable it is for the power plant to receive garbage and collect gas for power generation.

4. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 1 is characterized in that: The garbage disposal decision threshold in the decision module is customized by the system end user. When the decision module makes a decision on whether to incinerate or landfill the garbage, it compares the garbage disposal decision threshold with the garbage disposal tendency value f. When the garbage disposal tendency value f is greater than the garbage disposal decision threshold, the garbage is landfilled. When the garbage disposal tendency value f is less than the garbage disposal decision threshold, the garbage is incinerated. When the garbage disposal tendency value f is equal to the garbage disposal decision threshold, the power plant waits for the garbage recycling station to deliver garbage to it again. After the power plant receives the new garbage, it applies the relevant information of the newly received garbage to the calculation of the garbage disposal tendency value f, and then makes a decision on whether to incinerate or landfill the garbage.

5. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 1 is characterized in that: During the monitoring module configuration phase, methane content sensors are deployed in a matrix in the power plant landfill area, and methane production in the power plant landfill area is synchronously monitored based on the deployed methane content sensors; The number of methane content sensors deployed is no less than 5 to 10 m 2 / , the methane content sensor operates continuously based on a preset cycle, and when the monitoring module evaluates the methane production decay trend, the methane content sensing parameters sensed by each methane content sensor in the latest three cycles are used to perform the evaluation of the methane production decay trend.

6. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 5 is characterized in that: The evaluation logic of the methane production decay trend is expressed as: 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 is the methane content sensed by the i-th methane content sensor; ω i is the weight; θ is the methane production decay trend; G1 and G2 are the methane production decay trend representation values ​​obtained by the methane content sensing parameters sensed in two adjacent periods, and the period corresponding to G1 is earlier than the period corresponding to G2; Among them, the weights are all positive and obey And the weight corresponds to the methane content sensor in the landfill area of ​​the power plant where the landfill garbage is located. The closer it is to the mid-gas production period, the greater the weight value is, and vice versa. Based on the above formula, the methane production decay trend characterization values ​​​​are obtained for the methane content perception parameters perceived in each period, denoted as θ1 and θ2. When θ1≤θ2, it indicates that the methane production status of the power plant landfill area is healthy, and θ1≥θ2 indicates that the methane production status of the power plant landfill area is unhealthy. Moreover, when the methane production decay trends obtained for three consecutive times are all less than 1, it indicates that the methane production status of the power plant landfill area is unhealthy.

7. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 1 is characterized in that: The logic of classifying garbage for incineration and landfill in the allocation module is: S1: Set the single replacement amount of landfill waste in the power plant landfill area and obtain the decision result of whether to incinerate or landfill the waste; S2: If the decision is for incineration and the evaluation result shows that the methane output status of the power plant landfill is healthy, all garbage will be incinerated. If the decision is for landfill and the evaluation result shows that the methane output status of the power plant landfill is unhealthy, based on the single replacement volume of landfilled garbage in the power plant landfill, a corresponding amount of garbage with high organic content will be picked up for landfill, and the remaining garbage will be incinerated. S3: When the decision result is incineration treatment and the evaluation result shows that the methane output status of the power plant landfill area is unhealthy, priority is given to incineration treatment of combustible waste with high calorific value and low moisture content. Simultaneously, based on the single replacement volume of landfill waste in the power plant landfill area, a corresponding amount of waste with high organic content is picked up for landfill. After the combustible waste with high calorific value and low moisture content is used up by incineration treatment, the remaining waste with high organic content is incinerated. When the decision result is landfill treatment and the evaluation result shows that the methane output status of the power plant landfill area is healthy, all waste is incinerated.

8. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 1 is characterized in that: The message module is operated to generate a message which is transmitted to the mobile computer device held by the system end user via the wireless network after each message update, and the system end user reads the message on the mobile computer.

9. The regional circular economy operation status monitoring and evaluation system based on the Internet of Things according to claim 1 is characterized in that: The lower level of the acquisition module is interactively connected with the analysis module through a wireless network, the lower level of the analysis module is interactively connected with the accumulation unit and the correction unit through a wireless network, the analysis module is interactively connected with the decision module and the monitoring module through a wireless network, and the monitoring module is interactively connected with the analysis module and the message module through a wireless network.

10. A method for monitoring and evaluating the operation status of a regional circular economy based on the Internet of Things, wherein the method is an implementation method of the system for monitoring and evaluating the operation status of a regional circular economy based on the Internet of Things according to any one of claims 1 to 9, characterized in that: include: Step 1: Collect waste recycling information from each waste recycling station in the target area, remove non-combustible and metal waste from the waste, and mark, distinguish, sort and compile statistics of the waste recycling information by date and source; Step 2: Calculate the total mass ratio of high organic matter to combustible waste, and correct it by combining the moisture content of the two to obtain the treatment tendency value. A larger tendency value indicates a more suitable landfill for gas generation power generation, while a smaller tendency value indicates a more suitable incineration for power generation. Step 3: Compare the treatment tendency value with the user-defined threshold. If it is greater than the threshold, landfill is carried out; if it is less than the threshold, incineration is carried out; if it is equal, wait for new garbage to be input and then recalculate the decision; Step 4: Deploy methane sensors in the landfill matrix to periodically monitor methane production and determine whether the production status is healthy based on the decay trend of methane production; Step 5: Set the garbage allocation logic and allocate garbage based on the decision results and the methane production decay trend; Step 6: Generate garbage allocation result message.

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