A control method and system for pneumatic conveying of waste

Abstract

The application discloses a kind of control method and system of garbage pneumatic conveying, it is related to garbage pneumatic conveying technical field, by comprehensive use of scientific and technological means, pipe network blockage can be timely early warning, effectively avoid interruption of delivery, improve operating efficiency, second, by equipment operation optimization and intelligent maintenance scheme, system can continue stable operation, reduce maintenance cost, in addition, the improvement of pumping efficiency realizes the high efficiency of garbage collection and processing, reduces human resource waste and environmental pollution.And by dynamic parameter adjustment, system can flexibly respond to real-time demand, improve the intelligence and flexibility of operation management, these comprehensive advantages promote the sustainable development of environmental protection and resource recycling, provide important support for building clean, green society, can promote the application and development of digital twin technology in the field of garbage pneumatic conveying system, stimulate the technical innovation and research in related fields.

Description

Technical Field

[0001] This invention relates to the field of pneumatic waste conveying technology, and specifically to a control method and system for pneumatic waste conveying. Background Technology

[0002] Pneumatic conveying of waste is a common waste treatment technology that uses airflow to transport waste from a disposal station to a collection station or treatment facility, thereby achieving rapid and efficient waste processing. The background of the control method involves how to effectively manage and regulate airflow to ensure that waste is processed safely and effectively during transport. Therefore, a control method and system for pneumatic waste conveying has emerged.

[0003] Existing technologies suffer from high energy consumption, requiring a large amount of electricity to maintain airflow and transport waste. They lack energy efficiency optimization strategies and pose safety hazards during operation, such as airflow duct leaks and waste overflows, affecting the safety of equipment operation. Clearly, such real-time monitoring devices have at least the following problems: 1. Due to the use of non-transparent carbon steel in the pipes, the location of waste transport cannot be monitored. Employees rely solely on sound to vaguely determine whether waste has been transported to the collection station, resulting in high uncertainty in system transport and significant management difficulties.

[0004] 2. In existing technologies, most large equipment such as compactors, blowers, and separators only have start and stop status indicators, making it impossible to understand the operating status and health of each piece of equipment. Furthermore, pipeline monitoring data is severely insufficient. When system problems occur, there is an over-reliance on internal experts to troubleshoot blockages based on experience, lacking digital monitoring, diagnostic, and early warning functions, leading to a significant waste of human and material resources. Additionally, operating different equipment requires workers to travel to different locations, indicating a need for further improvement in system integration. Summary of the Invention

[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide a control method and system for pneumatic conveying of waste.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides a control method for pneumatic conveying of waste in the first aspect, including: Step 1, judgment of pipeline blockage: During the waste transportation process of each pipeline in the target enterprise, several collection time points and collection points are set, so as to collect the external pipeline pressure and the pressure in front of the blower corresponding to each collection point in each pipeline at each collection time point, and then judge whether the pipeline corresponding to each collection point in each pipeline at each collection time point is blocked.

[0007] Step 2: Obtaining the equipment operation evaluation coefficient: If a blockage occurs in the pipeline corresponding to a certain sampling point in a certain pipeline network at a certain sampling time point, the equipment operation parameters corresponding to that sampling point in the pipeline network at that sampling time point in the historical cycle are obtained. The equipment operation parameters include temperature, vibration frequency, voltage and current. Then, the equipment operation evaluation coefficient corresponding to that sampling point in the pipeline network at that sampling time point in the historical cycle is analyzed and obtained.

[0008] Step 3: Analysis of equipment maintenance plan: Based on the equipment operation evaluation coefficient of the collection point in the pipeline network at the collection time point in the historical cycle, analyze the equipment maintenance plan of the collection point in the pipeline network at the collection time point in the current cycle.

[0009] Step 4: Obtaining the pumping evaluation coefficient: Obtain the height, weight, and distance between the waste at each collection station in the target enterprise at the current moment and the central collection station, and then analyze and obtain the pumping evaluation coefficient corresponding to each collection station.

[0010] Step 5: Dynamic parameter analysis: Based on the pumping evaluation coefficient corresponding to each delivery station, determine whether each delivery station meets the pumping conditions. If a delivery station meets the pumping conditions, analyze the dynamic parameters corresponding to that delivery station.

[0011] Preferably, the specific judgment process for determining whether the pipeline network corresponding to each collection point in each pipeline network is blocked at each collection time point is as follows: A1. An in-place detection device is installed in front of the separator of each pipeline network of the target enterprise, and then the external pipeline network pressure and the pressure in front of the fan corresponding to each collection point in each pipeline network are collected at each collection time point.

[0012] A2. Calculate the difference between the external pipeline pressure and the pressure before the fan at each sampling point in each pipeline network at each sampling time point. Compare this difference with a set standard deviation. If the difference is less than or equal to the set standard deviation, it is determined that the pipeline network at that sampling point in that pipeline network is not blocked at that sampling time point. If the difference is greater than the set standard deviation, it is determined that the pipeline network at that sampling point in that pipeline network is blocked at that sampling time point. This method is used to determine whether the pipeline network at each sampling point in each pipeline network is blocked at each sampling time point.

[0013] Preferably, the analysis of the equipment maintenance plan corresponding to the collection point in the pipeline network at the current collection time point in the current period is specifically performed as follows: The equipment operation evaluation coefficient corresponding to the collection point in the pipeline network at the current collection time point in the historical period is compared with the equipment operation evaluation coefficients corresponding to each equipment maintenance plan in the database. If the equipment operation evaluation coefficient corresponding to the collection point in the pipeline network at the current collection time point in the historical period is the same as the equipment operation evaluation coefficient corresponding to a certain equipment maintenance plan in the database, then the equipment maintenance plan in the database is taken as the equipment maintenance plan corresponding to the collection point in the pipeline network at the current collection time point in the current period.

[0014] Preferably, the specific process for determining whether each delivery station meets the extraction conditions is as follows: the extraction evaluation coefficient corresponding to each delivery station is compared with the extraction evaluation coefficient corresponding to the set standard delivery station. If the extraction evaluation coefficient corresponding to a certain delivery station is less than the extraction evaluation coefficient corresponding to the set standard delivery station, then the delivery station is determined not to meet the extraction conditions. If the extraction evaluation coefficient corresponding to a certain delivery station is greater than or equal to the extraction evaluation coefficient corresponding to the set standard delivery station, then the delivery station is determined to meet the extraction conditions. In this way, it is determined whether each delivery station meets the extraction conditions.

[0015] Preferably, the analysis of the dynamic parameters corresponding to the delivery station is carried out as follows: X1. Obtain the daily operating time and power consumption of the delivery station, and compare the daily operating time and power consumption of the delivery station with the daily operating time and power consumption of each dynamic parameter set in the database. If the daily operating time and power consumption of the delivery station are equal to the daily operating time and power consumption of a certain dynamic parameter set in the database, then the dynamic parameter set in the database is taken as the dynamic parameter set corresponding to the delivery station.

[0016] X2. Compare the pumping evaluation coefficient corresponding to the delivery station with the pumping evaluation coefficients corresponding to each dynamic parameter in the dynamic parameter set in the corresponding database. If the pumping evaluation coefficient corresponding to the delivery station is the same as the pumping evaluation coefficient corresponding to a certain dynamic parameter in the dynamic parameter set in the corresponding database, then take that dynamic parameter in the dynamic parameter set in the corresponding database as the dynamic parameter corresponding to the delivery station.

[0017] In a second aspect, the present invention provides a control system for pneumatic conveying of waste, comprising: a pipeline blockage judgment module: used to set several collection time points and collection points during the waste transportation process of each pipeline in the target enterprise, thereby collecting the external pipeline pressure and the pressure in front of the blower corresponding to each collection point in each pipeline at each collection time point, and then judging whether the pipeline corresponding to each collection point in each pipeline is blocked at each collection time point.

[0018] Equipment operation evaluation coefficient acquisition module: If a blockage occurs in the pipeline corresponding to a certain acquisition point in a certain pipeline network at a certain acquisition time point, the module can obtain the equipment operation parameters corresponding to that acquisition point in the pipeline network at that acquisition time point in the historical period. The equipment operation parameters include temperature, vibration frequency, voltage and current, and then analyze them to obtain the equipment operation evaluation coefficient corresponding to that acquisition point in the pipeline network at that acquisition time point in the historical period.

[0019] Equipment maintenance plan analysis module: This module is used to analyze the equipment maintenance plan for the current period's data collection point in the same pipeline network based on the equipment operation evaluation coefficient at the current data collection time point in the historical period.

[0020] Pumping evaluation coefficient acquisition module: used to obtain the height, weight, and distance between the waste material level of each collection station in the target enterprise at the current moment and the central collection station, and then analyze and obtain the pumping evaluation coefficient corresponding to each collection station.

[0021] Dynamic parameter analysis module: It is used to determine whether each delivery station meets the extraction conditions based on the extraction evaluation coefficient corresponding to each delivery station. If a delivery station meets the extraction conditions, the dynamic parameters corresponding to that delivery station are analyzed.

[0022] Early warning display terminal module: When a blockage occurs in a certain pipeline network at a certain collection point in a certain collection time, an early warning display is made, and the dynamic parameters corresponding to each delivery station are also displayed in the early warning display.

[0023] The beneficial effects of this invention are as follows: 1. This invention provides a control method and system for pneumatic waste conveying. By comprehensively utilizing technological means, it can provide timely early warning of pipeline blockage, effectively avoid conveying interruptions, and improve operational efficiency. Secondly, through equipment operation optimization and intelligent maintenance schemes, the system can operate continuously and stably, reducing maintenance costs and extending equipment lifespan. Furthermore, the improved pumping efficiency achieves high efficiency in waste collection and treatment, reducing human resource waste and environmental pollution. Through dynamic parameter adjustment, the system can flexibly respond to real-time demands, improving the intelligence and flexibility of operation management. These comprehensive advantages promote the sustainable development of environmental protection and resource recycling, providing important support for building a clean and green society.

[0024] 2. The intelligent adaptive control system proposed in this embodiment of the invention can automatically adjust the control parameters of each device in the system according to different operating conditions, ensuring that the system is always in the optimal state, thereby improving the stability and reliability of the waste pneumatic conveying system, reducing operation interruptions caused by operational errors or environmental changes, promoting the application and development of digital twin technology in the field of waste pneumatic conveying systems, stimulating technological innovation and research in related fields, providing new ideas and methods for more extensive engineering applications in the future, and being able to detect potential faults in a timely manner and take measures in advance, reducing system downtime and lowering maintenance costs. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart illustrating the implementation steps of the method of the present invention.

[0027] Figure 2 This is a schematic diagram of the system module connections of the present invention. Detailed Implementation

[0028] 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 embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] Examples of embodiments of the present invention Figure 1 As shown, a control method for pneumatic conveying of waste includes: Step 1, judgment of pipeline blockage: Several collection time points and collection points are set during the waste transportation process of each pipeline in the target enterprise, so as to collect the external pipeline pressure and the pressure in front of the blower corresponding to each collection point in each pipeline at each collection time point, and then judge whether the pipeline corresponding to each collection point in each pipeline at each collection time point is blocked.

[0030] In a specific embodiment, the specific judgment process for determining whether the pipeline network corresponding to each collection point in each pipeline network is blocked at each collection time point is as follows: A1. An in-place detection device is installed in front of the separator of each pipeline network of the target enterprise, and then the external pipeline network pressure and the pressure in front of the fan corresponding to each collection point in each pipeline network are collected at each collection time point.

[0031] A2. Calculate the difference between the external pipeline pressure and the pressure before the fan at each sampling point in each pipeline network at each sampling time point. Compare this difference with a set standard deviation. If the difference is less than or equal to the set standard deviation, it is determined that the pipeline network at that sampling point in that pipeline network is not blocked at that sampling time point. If the difference is greater than the set standard deviation, it is determined that the pipeline network at that sampling point in that pipeline network is blocked at that sampling time point. This method is used to determine whether the pipeline network at each sampling point in each pipeline network is blocked at each sampling time point.

[0032] Step 2: Obtaining the equipment operation evaluation coefficient: If a blockage occurs in the pipeline corresponding to a certain sampling point in a certain pipeline network at a certain sampling time point, the equipment operation parameters corresponding to that sampling point in the pipeline network at that sampling time point in the historical cycle are obtained. The equipment operation parameters include temperature, vibration frequency, voltage and current. Then, the equipment operation evaluation coefficient corresponding to that sampling point in the pipeline network at that sampling time point in the historical cycle is analyzed and obtained.

[0033] In a specific embodiment, the analysis obtains the equipment operation evaluation coefficient corresponding to the sampling point in the pipeline network at the sampling time point in the historical cycle. The specific analysis process is as follows: the temperature, vibration frequency, voltage, and current corresponding to each sampling point in each pipeline network at each sampling time point are respectively denoted as... and Where i represents the number corresponding to each collection time point, i = 1, 2, ..., n, where n is any integer greater than 2; g represents the number corresponding to each pipeline network, g = 1, 2, ..., m, where m is any integer greater than 2; and h represents the number corresponding to each collection point, h = 1, 2, ..., u, where u is any integer greater than 2. Substituting these values ​​into the calculation formula... In this process, the equipment operation evaluation coefficient corresponding to the sampling point in the pipeline network at the given sampling time point within the historical cycle is obtained. Where Q′, S′, E′, and F′ are the standard temperature, standard vibration frequency, standard voltage, and standard current corresponding to the set pipeline network, respectively, and η1, η2, η3, and η4 are the weighting factors corresponding to the set pipeline network temperature, vibration frequency, voltage, and current, respectively.

[0034] It should be noted that η1, η2, η3, and η4 are all greater than 0 and less than 1.

[0035] It should also be noted that this process involved summarizing a large amount of research and experimental data. Standard temperatures, vibration frequencies, voltages, and currents for the pipeline network were set by professional and research institutions. Furthermore, the process incorporated the expertise and research of field experts, and was discussed and confirmed with industry organizations or professional institutions. Experts then set the weighting factors for pipeline temperature, vibration frequency, voltage, and current based on their experience and knowledge.

[0036] Step 3: Analysis of equipment maintenance plan: Based on the equipment operation evaluation coefficient of the collection point in the pipeline network at the collection time point in the historical cycle, analyze the equipment maintenance plan of the collection point in the pipeline network at the collection time point in the current cycle.

[0037] In a specific embodiment, the analysis of the equipment maintenance plan corresponding to the collection point in the pipeline network at the current collection time point in the current period is specifically performed as follows: The equipment operation evaluation coefficient corresponding to the collection point in the pipeline network at the current collection time point in the historical period is compared with the equipment operation evaluation coefficient corresponding to each equipment maintenance plan in the database. If the equipment operation evaluation coefficient corresponding to the collection point in the pipeline network at the current collection time point in the historical period is the same as the equipment operation evaluation coefficient corresponding to a certain equipment maintenance plan in the database, then the equipment maintenance plan in the database is taken as the equipment maintenance plan corresponding to the collection point in the pipeline network at the current collection time point in the current period.

[0038] Step 4: Obtaining the pumping evaluation coefficient: Obtain the height, weight, and distance between the waste at each collection station in the target enterprise at the current moment and the central collection station, and then analyze and obtain the pumping evaluation coefficient corresponding to each collection station.

[0039] In a specific embodiment, the analysis yields the pumping evaluation coefficients corresponding to each collection station. The specific analysis process is as follows: The height, weight, and distance between the waste level at each collection station in the target enterprise and the central collection station at the current moment are denoted as D. k G k and H k Where k represents the number corresponding to each delivery station, k = 1, 2, ..., p, where p is any integer greater than 2. Substitute these values ​​into the calculation formula. In this process, the pumping evaluation coefficient γ corresponding to each delivery station is obtained. k Where D′, G′, and H′ represent the standard height, standard weight, and standard distance between the waste disposal station and the central collection station, respectively; and π1, π2, and π3 represent the weighting factors corresponding to the height, weight, and distance between the waste disposal station and the central collection station, respectively.

[0040] It should be noted that π1, π2, and π3 are all greater than 0 and less than 1.

[0041] It should also be noted that this was achieved through a summary of extensive research and experimental data. Standard heights, standard weights, and standard distances between waste disposal stations and central collection stations were set by professional and research institutions. This was based on the expertise and research of field experts, and discussed and confirmed with industry organizations or professional institutions. Experts then set weighting factors for the height, weight, and distance of waste disposal stations based on their experience and knowledge.

[0042] Step 5: Dynamic parameter analysis: Based on the pumping evaluation coefficient corresponding to each delivery station, determine whether each delivery station meets the pumping conditions. If a delivery station meets the pumping conditions, analyze the dynamic parameters corresponding to that delivery station.

[0043] In a specific embodiment, the determination of whether each delivery station meets the extraction conditions is carried out as follows: the extraction evaluation coefficient corresponding to each delivery station is compared with the extraction evaluation coefficient corresponding to the set standard delivery station. If the extraction evaluation coefficient corresponding to a delivery station is less than the extraction evaluation coefficient corresponding to the set standard delivery station, the delivery station is determined not to meet the extraction conditions. If the extraction evaluation coefficient corresponding to a delivery station is greater than or equal to the extraction evaluation coefficient corresponding to the set standard delivery station, the delivery station is determined to meet the extraction conditions. In this way, it is determined whether each delivery station meets the extraction conditions.

[0044] It should be noted that the design of this intelligent collection and dispatching system involves dynamically adjusting the pneumatic conveying requirements after waste sorting to provide appropriate dynamic pressure for transporting dry and wet waste. Based on the distances and specific circumstances between different collection stations, algorithms need to be designed to calculate the required dynamic pressure to ensure the system can use suitable dynamic pressure during waste collection.

[0045] In addition, the collection station has material level detection and weighing detection functions. After the system is started, it will first collect the material level height and weight information of each collection station. By using this information, it will determine which collection ports do not meet the pumping conditions and exclude them from the current pumping plan.

[0046] The collection station is equipped with material level detection and weighing detection functions. After the system is started, it first collects the waste level height and weight information of each collection station, thereby removing the collection ports that do not meet the pumping conditions from the current pumping plan.

[0047] In another specific embodiment, the analysis of the dynamic parameters corresponding to the delivery station is carried out as follows: X1. Obtain the daily running time and power consumption of the delivery station, and compare the daily running time and power consumption of the delivery station with the daily running time and power consumption of each dynamic parameter set in the database. If the daily running time and power consumption of the delivery station are equal to the daily running time and power consumption of a certain dynamic parameter set in the database, then the dynamic parameter set in the database is taken as the dynamic parameter set corresponding to the delivery station.

[0048] X2. Compare the pumping evaluation coefficient corresponding to the delivery station with the pumping evaluation coefficients corresponding to each dynamic parameter in the dynamic parameter set in the corresponding database. If the pumping evaluation coefficient corresponding to the delivery station is the same as the pumping evaluation coefficient corresponding to a certain dynamic parameter in the dynamic parameter set in the corresponding database, then take that dynamic parameter in the dynamic parameter set in the corresponding database as the dynamic parameter corresponding to the delivery station.

[0049] It should be noted that dynamic parameters include, but are not limited to, the number of fans used and the dynamic pressure required.

[0050] The intelligent adaptive control system proposed in this invention can automatically adjust the control parameters of each device in the system according to different operating conditions, ensuring that the system is always in the optimal state. This improves the stability and reliability of the waste pneumatic conveying system, reduces operational interruptions caused by operational errors or environmental changes, promotes the application and development of digital twin technology in the field of waste pneumatic conveying systems, stimulates technological innovation and research in related fields, and provides new ideas and methods for broader engineering applications in the future. It can also detect potential faults in a timely manner and take measures in advance, reducing system downtime and lowering maintenance costs.

[0051] Examples of embodiments of the present invention Figure 2 As shown, a control system for pneumatic waste conveying includes: a pipeline blockage judgment module, an equipment operation evaluation coefficient acquisition module, an equipment maintenance plan analysis module, a pumping evaluation coefficient acquisition module, a dynamic parameter analysis module, an early warning display terminal module, and a database.

[0052] Pipeline blockage detection module: This module is used to set several collection time points and collection points during the waste transportation process of each pipeline in the target enterprise. At each collection time point, it collects the external pipeline pressure and the pressure in front of the blower corresponding to each collection point in each pipeline, and then determines whether the pipeline corresponding to each collection point in each pipeline is blocked at each collection time point.

[0053] Equipment operation evaluation coefficient acquisition module: If a blockage occurs in the pipeline corresponding to a certain acquisition point in a certain pipeline network at a certain acquisition time point, the module can obtain the equipment operation parameters corresponding to that acquisition point in the pipeline network at that acquisition time point in the historical period. The equipment operation parameters include temperature, vibration frequency, voltage and current, and then analyze them to obtain the equipment operation evaluation coefficient corresponding to that acquisition point in the pipeline network at that acquisition time point in the historical period.

[0054] Equipment maintenance plan analysis module: This module is used to analyze the equipment maintenance plan for the current period's data collection point in the same pipeline network based on the equipment operation evaluation coefficient at the current data collection time point in the historical period.

[0055] Pumping evaluation coefficient acquisition module: used to obtain the height, weight, and distance between the waste material level of each collection station in the target enterprise at the current moment and the central collection station, and then analyze and obtain the pumping evaluation coefficient corresponding to each collection station.

[0056] Dynamic parameter analysis module: It is used to determine whether each delivery station meets the extraction conditions based on the extraction evaluation coefficient corresponding to each delivery station. If a delivery station meets the extraction conditions, the dynamic parameters corresponding to that delivery station are analyzed.

[0057] Early warning display terminal module: When a blockage occurs in a certain pipeline network at a certain collection point in a certain collection time, an early warning display is made, and the dynamic parameters corresponding to each delivery station are also displayed in the early warning display.

[0058] This invention provides a control method and system for pneumatic waste conveying. By comprehensively utilizing technological means, it can provide timely warnings of pipeline blockages, effectively preventing conveying interruptions and improving operational efficiency. Secondly, through equipment operation optimization and intelligent maintenance schemes, the system can operate continuously and stably, reducing maintenance costs and extending equipment lifespan. Furthermore, the improved pumping efficiency achieves high efficiency in waste collection and treatment, reducing waste of human resources and environmental pollution. And through dynamic parameter adjustment, the system can flexibly respond to real-time demands, improving the intelligence and flexibility of operation management. These comprehensive advantages promote sustainable development in environmental protection and resource recycling, providing important support for building a clean and green society.

[0059] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. A control method for pneumatic conveying of waste, characterized in that, include: Step 1: Determining Pipeline Blockage: Set up several collection time points and collection points during the garbage transportation process of each pipeline in the target enterprise. At each collection time point, collect the external pipeline pressure and the pressure in front of the blower corresponding to each collection point in each pipeline. Then, determine whether the pipeline corresponding to each collection point in each pipeline is blocked at each collection time point. Step 2: Obtaining the equipment operation evaluation coefficient: If the pipeline corresponding to a certain sampling point in a certain pipeline network is blocked at a certain sampling time point, the equipment operation parameters corresponding to the sampling point in the pipeline network at that sampling time point in the historical period are obtained. The equipment operation parameters include temperature, vibration frequency, voltage and current. Then, the equipment operation evaluation coefficient corresponding to the sampling point in the pipeline network at that sampling time point in the historical period is analyzed and obtained. Step 3: Analysis of equipment maintenance plan: Based on the equipment operation evaluation coefficient of the collection point in the pipeline network at the collection time point in the historical cycle, analyze the equipment maintenance plan of the collection point in the pipeline network at the collection time point in the current cycle. Step 4: Obtaining the pumping evaluation coefficient: Obtain the height, weight, and distance between the waste material at each collection station in the target enterprise at the current moment and the central collection station, and then analyze and obtain the pumping evaluation coefficient corresponding to each collection station. Step 5: Dynamic parameter analysis: Based on the pumping evaluation coefficient corresponding to each delivery station, determine whether each delivery station meets the pumping conditions. If a delivery station meets the pumping conditions, analyze the dynamic parameters corresponding to that delivery station.

2. The control method for pneumatic conveying of waste as described in claim 1, characterized in that, The specific process for determining whether a blockage has occurred in the pipeline network corresponding to each collection point at each collection time point is as follows: A1. Install a position detection device in front of the separator of each pipeline network of the target enterprise, and then collect the external pipeline network pressure and the pressure in front of the fan at each collection point in each pipeline network at each collection time point; A2. Calculate the difference between the external pipeline pressure and the pressure before the fan at each sampling point in each pipeline network at each sampling time point. Compare this difference with a set standard deviation. If the difference is less than or equal to the set standard deviation, it is determined that the pipeline network at that sampling point in that pipeline network is not blocked at that sampling time point. If the difference is greater than the set standard deviation, it is determined that the pipeline network at that sampling point in that pipeline network is blocked at that sampling time point. This method is used to determine whether the pipeline network at each sampling point in each pipeline network is blocked at each sampling time point.

3. The control method for pneumatic conveying of waste as described in claim 1, characterized in that, The analysis yields the equipment operation evaluation coefficient corresponding to the sampling point in the pipeline network at that sampling time point in the historical cycle. The specific analysis process is as follows: The temperature, vibration frequency, voltage, and current corresponding to each sampling point in each pipeline network at each sampling time point are respectively denoted as follows: and Where i represents the number corresponding to each data collection time point, i = 1, 2, ..., n, where n is any integer greater than 2, and g represents the number corresponding to each pipeline network. g = 1, 2, ..., m, where m is any integer greater than 2; h represents the number corresponding to each collection point; h = 1, 2, ..., u, where u is any integer greater than 2. Substitute these values ​​into the calculation formula. In this process, the equipment operation evaluation coefficient corresponding to the sampling point in the pipeline network at the given sampling time point within the historical cycle is obtained. Where Q′, S′, E′, and F′ are the standard temperature, standard vibration frequency, standard voltage, and standard current corresponding to the set pipeline network, respectively, and η1, η2, η3, and η4 are the weighting factors corresponding to the set pipeline network temperature, vibration frequency, voltage, and current, respectively.

4. The control method for pneumatic conveying of waste as described in claim 3, characterized in that, The analysis of the equipment maintenance plan for the corresponding collection point in the pipeline network at the current collection time point in the current cycle is as follows: The equipment operation evaluation coefficient of the collection point in the pipeline network at the collection time point in the historical period is compared with the equipment operation evaluation coefficient of each equipment maintenance plan in the database. If the equipment operation evaluation coefficient of the collection point in the pipeline network at the collection time point in the historical period is the same as the equipment operation evaluation coefficient of a certain equipment maintenance plan in the database, then the equipment maintenance plan in the database is taken as the equipment maintenance plan of the collection point in the pipeline network at the collection time point in the current period.

5. The control method for pneumatic conveying of waste as described in claim 1, characterized in that, The analysis yielded the pumping evaluation coefficients for each delivery station. The specific analysis process is as follows: Let D represent the height, weight, and distance from the central collection station of each waste disposal point within the target enterprise at the current moment. k G k and H k Where k represents the number corresponding to each delivery station, k = 1, 2, ..., p, where p is any integer greater than 2. Substitute these values ​​into the calculation formula. In this process, the pumping evaluation coefficient γ corresponding to each delivery station is obtained. k Where D′, G′, and H′ represent the standard height, standard weight, and standard distance between the waste disposal station and the central collection station, respectively; and π1, π2, and π3 represent the weighting factors corresponding to the height, weight, and distance between the waste disposal station and the central collection station, respectively.

6. The control method for pneumatic conveying of waste as described in claim 5, characterized in that, The specific process for determining whether each delivery station meets the extraction conditions is as follows: The pumping evaluation coefficient corresponding to each delivery station is compared with the pumping evaluation coefficient corresponding to the set standard delivery station. If the pumping evaluation coefficient corresponding to a delivery station is less than the pumping evaluation coefficient corresponding to the set standard delivery station, the delivery station is determined not to meet the pumping conditions. If the pumping evaluation coefficient corresponding to a delivery station is greater than or equal to the pumping evaluation coefficient corresponding to the set standard delivery station, the delivery station is determined to meet the pumping conditions. In this way, it is determined whether each delivery station meets the pumping conditions.

7. The control method for pneumatic conveying of waste as described in claim 6, characterized in that, The analysis of the dynamic parameters corresponding to the delivery station is carried out in the following specific process: X1. Obtain the daily running time and power consumption corresponding to the delivery station, and compare the daily running time and power consumption corresponding to the delivery station with the daily running time and power consumption corresponding to each dynamic parameter set in the database. If the daily running time and power consumption corresponding to the delivery station are equal to the daily running time and power consumption corresponding to a certain dynamic parameter set in the database, then take that dynamic parameter set in the database as the dynamic parameter set corresponding to the delivery station. X2. Compare the pumping evaluation coefficient corresponding to the delivery station with the pumping evaluation coefficients corresponding to each dynamic parameter in the dynamic parameter set in the corresponding database. If the pumping evaluation coefficient corresponding to the delivery station is the same as the pumping evaluation coefficient corresponding to a certain dynamic parameter in the dynamic parameter set in the corresponding database, then take that dynamic parameter in the dynamic parameter set in the corresponding database as the dynamic parameter corresponding to the delivery station.

8. A control system for pneumatic waste conveying that implements the control method for pneumatic waste conveying according to any one of claims 1-7, characterized in that, include: Pipeline blockage detection module: It is used to set several collection time points and collection points during the garbage transportation process of each pipeline in the target enterprise, so as to collect the external pipeline pressure and the pressure in front of the blower corresponding to each collection point in each pipeline at each collection time point, and then determine whether the pipeline corresponding to each collection point in each pipeline at each collection time point is blocked. Equipment operation evaluation coefficient acquisition module: If a blockage occurs in the pipeline corresponding to a certain sampling point in a certain pipeline network at a certain sampling time point, the module can obtain the equipment operation parameters corresponding to the sampling point in the pipeline network at the same sampling time point in the historical period. The equipment operation parameters include temperature, vibration frequency, voltage and current, and then analyze and obtain the equipment operation evaluation coefficient corresponding to the sampling point in the pipeline network at the same sampling time point in the historical period. Equipment maintenance plan analysis module: This module is used to analyze the equipment maintenance plan for the current period's data collection point within the same pipeline network, based on the equipment operation evaluation coefficients at the current data collection time point in the historical data collection period. Pumping evaluation coefficient acquisition module: used to obtain the height, weight and distance between the waste material position of each collection station in the target enterprise at the current moment and the central collection station, and then analyze and obtain the pumping evaluation coefficient of each collection station; Dynamic parameter analysis module: It is used to determine whether each delivery station meets the extraction conditions based on the extraction evaluation coefficient corresponding to each delivery station. If a delivery station meets the extraction conditions, the dynamic parameters corresponding to that delivery station are analyzed. Early warning display terminal module: When a blockage occurs in a certain pipeline network at a certain collection point in a certain collection time, an early warning display is made, and the dynamic parameters corresponding to each delivery station are also displayed in the early warning display.

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