Dust removal system of ship unloader

Abstract

The invention provides a dust removal system of a ship unloader, and belongs to the technical field of data analysis. The dust removal preparation module is used for obtaining dust raising characteristics of corresponding target goods based on ship unloading requirements of the ship unloader and matching corresponding dust removal method combinations; the equipment distribution module is used for obtaining corresponding first equipment distribution based on the dust removal method combination and the operation characteristics of each dust removal area of the ship unloader; the real-time analysis module is used for predicting dust parameter changes in the ship unloading period based on the real-time dust parameters of each dust removal area, and future dust removal parameters are obtained to adjust dust removal equipment; the period evaluation module is used for evaluating dust removal of the ship unloading period based on the period log of the ship unloading period to obtain corresponding period evaluation; and the optimization module is used for optimizing the dust removal process based on the period evaluation. Environmental protection is enhanced, and the dust removal efficiency of the ship unloader is improved.

Description

Technical Field

[0001] The invention relates to the technical field of data analysis, and in particular to a dust removal system for a ship unloader. Background Art

[0002] With the development of economic globalization, especially the continuous growth of seaborne bulk cargo such as ore and coal, the throughput of ports is also on the rise. In the process of material loading, unloading and transfer, conventional materials are mostly blocky and powdery materials, which are very easy to generate dust and cause environmental pollution. Therefore, it is urgent to reduce dust and solve environmental problems. In order to reduce dust, countries are studying and applying information, automation and intelligent technologies to build and transform bulk cargo terminals, develop new bulk cargo loading and unloading and conveying equipment, and the design of ship unloader equipment is becoming more and more professional to meet the loading and unloading needs of different materials;

[0003] Therefore, the present invention proposes a dust removal system for a ship unloader. Summary of the invention

[0004] The present invention provides a ship unloader dust removal system, which is used to obtain the corresponding dust characteristics of the target cargo by analyzing the unloading demand of the ship unloader, match the corresponding dust removal method combination, distribute the dust removal equipment, monitor the dust parameter changes in the unloading cycle in real time, obtain the future dust removal parameters and adjust the dust removal equipment, and evaluate the dust removal of the unloading cycle by analyzing the cycle log of the unloading cycle, obtain the corresponding cycle evaluation, optimize the dust removal process, enhance the protection of the environment, and improve the dust removal efficiency of the ship unloader.

[0005] In one aspect, the present invention provides a ship unloader dust removal system, comprising:

[0006] Dust removal preparation module: Based on the unloading requirements of the ship unloader, the corresponding dust characteristics of the target cargo are obtained and the corresponding dust removal method combination is matched;

[0007] Equipment distribution module: based on the dust removal method combination and the operation characteristics of each dust removal area of ​​the ship unloader, obtain the corresponding first equipment distribution;

[0008] Real-time analysis module: Based on the real-time dust parameters of each dust removal area, the dust parameter changes during the unloading cycle are predicted, and the future dust removal parameters are obtained to adjust the dust removal equipment;

[0009] Cycle evaluation module: Based on the cycle log of this unloading cycle, the dust removal of this unloading cycle is evaluated to obtain the corresponding cycle evaluation;

[0010] Optimization module: Based on the cycle evaluation, the dust removal process is optimized.

[0011] On the other hand, the dust removal preparation module comprises:

[0012] Target cargo acquisition unit: based on the unloading requirements of the ship unloader, obtain the corresponding target cargo;

[0013] Dust feature acquisition unit: based on the dust particles of the target cargo, obtain the corresponding dust features;

[0014] Dust removal method matching unit: based on the dust characteristics and the dust removal method database, obtain the corresponding dust removal method combination.

[0015] On the other hand, the device distribution module includes:

[0016] Sensor distribution unit: obtains sensor distribution based on the area of ​​each dust removal area of ​​the ship unloader and the monitoring range of the dust sensor;

[0017] Dust distribution unit: based on the operating characteristics of each dust removal area, the corresponding proportion characteristics of the raised dust particles are obtained;

[0018] A quantity acquisition unit: based on the proportion feature and the dust particle size that is more suitable for each dust removal method in the dust removal method combination, obtains the corresponding equipment quantity of each dust removal equipment;

[0019] Equipment distribution unit: based on the number of equipment and the dust removal range of the dust removal equipment, obtain the corresponding dust removal equipment distribution;

[0020] Distribution integration unit: based on the sensor distribution and the dust removal equipment distribution, obtain a first equipment distribution.

[0021] On the other hand, the real-time analysis module includes:

[0022] Particle diameter classification unit: obtains the real-time dust parameters obtained by each dust sensor in each dust removal area, and obtains the first particle concentration of each particle diameter range;

[0023] A regional concentration calculation unit: based on the number of sensors in each dust removal area and the corresponding first particle concentration, obtains a first average concentration corresponding to each particle diameter range in each dust removal area;

[0024] Stable moment acquisition unit: based on the current unloading cycle and each dust removal area, obtain the first moment when the dust concentration in each dust removal area begins to stabilize;

[0025] Normal distribution unit: obtains the first average concentration of each dust removal area from the first moment to the current moment, and constructs a first normal distribution graph;

[0026] An outlier value acquisition unit: based on the first normal distribution graph, obtains an outlier value less than a preset occurrence probability;

[0027] A point map construction unit: constructing a first point map based on a first average concentration of each dust removal area from a first moment to a current moment;

[0028] A replacement value unit: a unit for replacing the position of the corresponding outlier value as a replacement value based on the average value of the previous point and the next point of the outlier value in the first point diagram;

[0029] A first curve construction unit: performing fitting based on the replaced first point graph to obtain a corresponding first curve;

[0030] Prediction curve acquisition unit: based on each first curve, predict the particle concentration from the current moment to the last moment of the unloading cycle to obtain a prediction curve;

[0031] A first difference value obtaining unit: obtaining a first difference value based on the maximum value and the minimum value of each prediction curve;

[0032] If the first difference is less than the preset change difference, there is no need to adjust the dust removal equipment corresponding to the corresponding prediction curve;

[0033] If the first difference is greater than or equal to the preset change difference, the corresponding dust removal equipment is adjusted based on the corresponding prediction curve.

[0034] On the other hand, the cycle evaluation module comprises:

[0035] Comprehensive concentration acquisition unit: based on the cycle log of this unloading cycle, the comprehensive dust concentration of each dust removal area is obtained;

[0036] If one or more of the comprehensive dust concentrations is greater than the preset environmental protection concentration, the assessment result of this unloading cycle will be unqualified;

[0037] If all comprehensive dust concentrations are less than the preset environmental protection concentration, the corresponding dust removal completion index is calculated based on the cycle log;

[0038] Evaluation acquisition unit: based on the dust removal completion index, obtains a corresponding cycle evaluation.

[0039] On the other hand, the calculation formula of the dust removal completion index is as follows:

[0040] Wherein, F represents the dust removal completion index of the cycle log; n represents the number of dust removal areas; m represents the number of dust removal equipment adjustments in the cycle log; T represents the cycle time of the cycle log; b represents the preset environmental protection concentration; a i represents the comprehensive dust concentration of the ith dust removal area in all dust removal areas; a maxIndicates the largest value among all comprehensive dust concentrations; ε i represents the calculation weight of the i-th dust removal area among all dust removal areas; δ represents the first calculation coefficient of the cycle log; g i Indicates the quality of the target goods; h i It represents the actual mass of the cargo obtained after unloading; μ represents the second calculation coefficient of the mass.

[0041] On the other hand, the optimization module comprises:

[0042] History acquisition unit: based on the historical evaluation database, obtains the historical cycle evaluation after the last optimization;

[0043] An index obtaining unit: obtaining a complete dust removal index based on the periodic evaluation and the historical periodic evaluation;

[0044] Index analysis unit: based on all dust removal completion indexes, obtain a second normal distribution diagram;

[0045] Optimization analysis unit: input the second normal distribution diagram into the optimization model to obtain the corresponding optimization scheme to optimize the dust removal process.

[0046] On the other hand, the particle diameter classification unit comprises:

[0047] Environmental protection judgment block: based on the real-time dust parameters obtained by each dust sensor in each dust removal area, obtain the second dust concentration;

[0048] If the second dust concentration is greater than the preset environmental protection concentration, the power of the dust removal equipment in the corresponding dust removal area is immediately increased.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention provides a ship unloader dust removal system, which is used to obtain the corresponding dust characteristics of the target cargo by analyzing the unloading demand of the ship unloader, match the corresponding dust removal method combination, distribute the dust removal equipment, monitor the dust parameter changes in the unloading cycle in real time, obtain the future dust removal parameters and adjust the dust removal equipment, and evaluate the dust removal of the unloading cycle by analyzing the cycle log of the unloading cycle, obtain the corresponding cycle evaluation, optimize the dust removal process, enhance the protection of the environment, and improve the dust removal efficiency of the ship unloader. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the present invention or 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 some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 It is a structural schematic diagram of a dust removal system for a ship unloader provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are 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 creative work are within the scope of protection of the present invention.

[0054] Embodiment 1:

[0055] like Figure 1 As shown, a dust removal system for a ship unloader provided by an embodiment of the present invention comprises:

[0056] Dust removal preparation module: Based on the unloading requirements of the ship unloader, the corresponding dust characteristics of the target cargo are obtained and the corresponding dust removal method combination is matched;

[0057] Equipment distribution module: based on the dust removal method combination and the operation characteristics of each dust removal area of ​​the ship unloader, obtain the corresponding first equipment distribution;

[0058] Real-time analysis module: Based on the real-time dust parameters of each dust removal area, the dust parameter changes during the unloading cycle are predicted, and the future dust removal parameters are obtained to adjust the dust removal equipment;

[0059] Cycle evaluation module: Based on the cycle log of this unloading cycle, the dust removal of this unloading cycle is evaluated to obtain the corresponding cycle evaluation;

[0060] Optimization module: Based on the cycle evaluation, the dust removal process is optimized.

[0061] In this embodiment, the ship unloading demand refers to the demand for the ship unloader to work, including the type of cargo to be unloaded.

[0062] In this embodiment, the target cargo refers to cargo that needs to be unloaded by a ship unloader.

[0063] In this embodiment, the dust raising feature refers to the feature of dust particles of different diameter ranges being raised by analyzing the size of dust particles of the target cargo, for example, dust particles with smaller diameter ranges are raised to a higher height.

[0064] In this embodiment, the dust removal method combination refers to a combination of dust removal methods that matches the sand-raising characteristics, and effective dust removal methods are matched for dust particles in different diameter ranges. The dust removal methods include: gravity settling chamber, cyclone dust collector, spray tower, bag dust collector, etc.

[0065] In this embodiment, the dust removal area refers to the area where the ship unloader contacts the target cargo and needs to be dusted, including: the unloading area, the cargo conveyor belt, the grab bucket operation area, the area around the dock, the driver's room and other indoor operation areas.

[0066] In this embodiment, the operation characteristics refer to the operation characteristics of the dust removal area, for example, the characteristics of a cargo conveyor belt are that it has a certain movement direction and route.

[0067] In this embodiment, the first equipment distribution refers to the distribution of dust sensors and dust removal equipment that comprehensively cover each dust removal area obtained by analyzing the combination of dust removal methods and the operating characteristics of each dust removal area of ​​the ship unloader, which is conducive to effective dust removal. Among them, the dust sensor refers to a device used to monitor the concentration of dust particles in the air, and can also monitor the size of dust particles in the air. The dust removal equipment refers to the equipment needed for the dust removal method, such as: spray equipment, filter bags.

[0068] In this embodiment, the real-time dust parameter refers to the concentration of dust in the air and the concentration of dust of each particle diameter acquired in real time.

[0069] In this embodiment, the dust parameter change refers to the change in the dust concentration of different particle sizes.

[0070] In this embodiment, the future dust removal parameter refers to changes in dust concentrations of different particle sizes predicted at future moments by analyzing real-time dust parameters.

[0071] In this embodiment, the unloading cycle refers to the time required for this unloading obtained by calculating the efficiency of the unloader and the mass of the target cargo.

[0072] In this embodiment, the cycle log refers to the dust concentration at each moment in each dust removal area during the ship unloading cycle and the content of the adjustment of the dust removal equipment.

[0073] In this embodiment, the cycle evaluation refers to an evaluation of the dust removal process of the current unloading cycle obtained by analyzing the cycle log, which is beneficial to the subsequent optimization of the dust removal process.

[0074] The working principle and beneficial effects of the above technical solution are: by analyzing the unloading requirements of the ship unloader, the corresponding dust characteristics of the target cargo are obtained, the corresponding dust removal method combination is matched, and the dust removal equipment is distributed, and the changes in dust parameters during the unloading cycle are monitored in real time, and the future dust removal parameters are obtained to adjust the dust removal equipment. By analyzing the cycle log of this unloading cycle, the dust removal of this unloading cycle is evaluated, and the corresponding cycle evaluation is obtained, the dust removal process is optimized, the protection of the environment is enhanced, and the efficiency of dust removal of the ship unloader is improved.

[0075] Embodiment 2:

[0076] Based on the above embodiment 1, the dust removal preparation module includes:

[0077] Target cargo acquisition unit: based on the unloading requirements of the ship unloader, obtain the corresponding target cargo;

[0078] Dust feature acquisition unit: based on the dust particles of the target cargo, obtain the corresponding dust features;

[0079] Dust removal method matching unit: based on the dust characteristics and the dust removal method database, obtain the corresponding dust removal method combination.

[0080] In this embodiment, the dust removal method database refers to a database containing all dust removal methods, wherein the dust removal methods include: gravity settling chamber, cyclone dust collector, spray tower, bag dust collector, etc.

[0081] The working principle and beneficial effects of the above technical solution are: by analyzing the unloading requirements of the ship unloader, the corresponding dust characteristics of the target cargo are obtained, the corresponding dust removal method combination is matched, the most effective dust removal method is accurately matched, and the dust removal efficiency of the ship unloader is improved.

[0082] Embodiment 3:

[0083] Based on the above embodiment 1, the device distribution module includes:

[0084] Sensor distribution unit: obtains sensor distribution based on the area of ​​each dust removal area of ​​the ship unloader and the monitoring range of the dust sensor;

[0085] Dust distribution unit: based on the operating characteristics of each dust removal area, the corresponding proportion characteristics of the raised dust particles are obtained;

[0086] A quantity acquisition unit: based on the proportion feature and the dust particle size that is more suitable for each dust removal method in the dust removal method combination, obtains the corresponding equipment quantity of each dust removal equipment;

[0087] Equipment distribution unit: based on the number of equipment and the dust removal range of the dust removal equipment, obtain the corresponding dust removal equipment distribution;

[0088] Distribution integration unit: based on the sensor distribution and the dust removal equipment distribution, obtain a first equipment distribution.

[0089] In this embodiment, the dust sensor refers to a device for monitoring the concentration of dust particles in the air, and may also monitor the size of dust particles in the air.

[0090] In this embodiment, the monitoring range refers to the range that each dust sensor can effectively monitor.

[0091] In this embodiment, the sensor distribution refers to a distribution of sensors that enables the dust sensor to monitor dust without blind spots and conforms to the operating characteristics of the corresponding dust removal area.

[0092] In this embodiment, the ratio feature refers to the ratio of dust particles in different diameter ranges.

[0093] In this embodiment, the dust removal equipment refers to equipment required for the dust removal method, such as spray equipment and filter bags.

[0094] In this embodiment, the number of devices refers to the number of dust removal devices that can most efficiently remove dust based on the proportional characteristics of particles in different diameter ranges.

[0095] In this embodiment, the dust removal range refers to the effective dust removal range of the dust removal equipment.

[0096] In this embodiment, the distribution of dust removal equipment refers to the distribution of dust removal equipment that can perform dust removal on all goods, which is obtained by analyzing the number of equipment and the dust removal range of the dust removal equipment.

[0097] The working principle and beneficial effect of the above technical solution are: by analyzing the combination of dust removal methods and the operating characteristics of each dust removal area of ​​the ship unloader, the corresponding first equipment distribution is obtained, the target cargo is fully monitored and dusted, and the efficiency of dust removal is improved.

[0098] Embodiment 4:

[0099] Based on the above embodiment 1, the real-time analysis module includes:

[0100] Particle diameter classification unit: obtains the real-time dust parameters obtained by each dust sensor in each dust removal area, and obtains the first particle concentration of each particle diameter range;

[0101] A regional concentration calculation unit: based on the number of sensors in each dust removal area and the corresponding first particle concentration, obtains a first average concentration corresponding to each particle diameter range in each dust removal area;

[0102] Stable moment acquisition unit: based on the current unloading cycle and each dust removal area, obtain the first moment when the dust concentration in each dust removal area begins to stabilize;

[0103] Normal distribution unit: obtains the first average concentration of each dust removal area from the first moment to the current moment, and constructs a first normal distribution graph;

[0104] An outlier value acquisition unit: based on the first normal distribution graph, obtains an outlier value less than a preset occurrence probability;

[0105] A point map construction unit: constructing a first point map based on a first average concentration of each dust removal area from a first moment to a current moment;

[0106] A replacement value unit: a unit for replacing the position of the corresponding outlier value as a replacement value based on the average value of the previous point and the next point of the outlier value in the first point diagram;

[0107] A first curve construction unit: performing fitting based on the replaced first point graph to obtain a corresponding first curve;

[0108] Prediction curve acquisition unit: based on each first curve, predict the particle concentration from the current moment to the last moment of the unloading cycle to obtain a prediction curve;

[0109] A first difference value obtaining unit: obtaining a first difference value based on the maximum value and the minimum value of each prediction curve;

[0110] If the first difference is less than the preset change difference, there is no need to adjust the dust removal equipment corresponding to the corresponding prediction curve;

[0111] If the first difference is greater than or equal to the preset change difference, the corresponding dust removal equipment is adjusted based on the corresponding prediction curve.

[0112] In this embodiment, the particle diameter range refers to a range of particle diameters that is convenient for analysis and representative by analyzing the particle size of the dust of the target cargo.

[0113] In this embodiment, the first particle concentration refers to the real-time dust parameter obtained by each dust sensor in each dust removal area, and the particle concentration of each particle diameter range.

[0114] In this embodiment, the first average concentration refers to the average value of the first particle concentrations acquired by all dust sensors in each dust removal area, and can represent the concentration of each particle diameter range in the dust removal area.

[0115] In this embodiment, the unloading cycle refers to the time required for this unloading obtained by calculating the efficiency of the unloader and the mass of the target cargo.

[0116] In this embodiment, the first moment refers to the moment when the dust removal area begins to be fully loaded with cargo. When the ship unloader just starts to operate, the dust concentration changes too much during the process from 0 to full load, which is not conducive to analysis.

[0117] In this embodiment, the first normal distribution graph refers to a normal distribution graph constructed by the first average concentration from the first moment to the present moment in each dust removal area.

[0118] In this embodiment, the preset occurrence probability refers to a preset range of the probability of occurrence of the first average concentration that is valuable for analysis.

[0119] In this embodiment, the outlier value refers to a value in the first normal distribution graph that is less than a preset probability of occurrence.

[0120] In this embodiment, the first point diagram refers to the first average concentration of each dust removal area from the first moment to the current moment, and is a point diagram constructed in time sequence.

[0121] In this embodiment, the replacement value refers to the average value of the previous point and the next point of the outlier value in the first point graph, which is beneficial to the analysis of the data.

[0122] In this embodiment, the first curve refers to the curve graph obtained by fitting the first point graph after replacement.

[0123] In this embodiment, the prediction curve refers to predicting the change of particle concentration from the current moment to the last moment of the unloading cycle by analyzing the first curve.

[0124] In this embodiment, the first difference refers to the difference between the maximum value and the minimum value of the prediction curve.

[0125] In this embodiment, the preset change difference refers to a preset minimum value of the concentration change that the dust removal equipment needs to adjust.

[0126] The working principle and beneficial effects of the above technical solution are: by analyzing the real-time dust parameters obtained by all dust sensors in each dust removal area, analyzing according to the size of the dust particles, and accurately adjusting the dust removal equipment, the dust removal efficiency and accuracy of the ship unloader are improved, and energy waste and environmental pollution are reduced.

[0127] Embodiment 5:

[0128] Based on the above embodiment 1, the cycle evaluation module includes:

[0129] Comprehensive concentration acquisition unit: based on the cycle log of this unloading cycle, the comprehensive dust concentration of each dust removal area is obtained;

[0130] If one or more of the comprehensive dust concentrations is greater than the preset environmental protection concentration, the assessment result of this unloading cycle will be unqualified;

[0131] If all comprehensive dust concentrations are less than the preset environmental protection concentration, the corresponding dust removal completion index is calculated based on the cycle log;

[0132] Evaluation acquisition unit: based on the dust removal completion index, obtains a corresponding cycle evaluation.

[0133] In this embodiment, the comprehensive dust concentration refers to the average dust concentration of all particles in each area at each moment in the periodic log.

[0134] In this embodiment, the preset environmental protection concentration refers to a dust concentration that is preset to be achieved for environmental protection.

[0135] In this embodiment, the dust removal completion index refers to a value indicating the degree of dust removal completion in the current unloading cycle, obtained by analyzing and calculating the cycle log.

[0136] The working principle and beneficial effect of the above technical solution are: by analyzing and calculating the cycle log of this ship unloading cycle, the dust removal of this ship unloading cycle is evaluated, and the corresponding cycle evaluation is obtained. The accurate evaluation is conducive to subsequent optimization and improving the dust removal efficiency of the ship unloader.

[0137] Embodiment 6:

[0138] Based on the above embodiment 5, the calculation formula of the dust removal completion index is as follows:

[0139] Wherein, F represents the dust removal completion index of the cycle log; n represents the number of dust removal areas; m represents the number of dust removal equipment adjustments in the cycle log; T represents the cycle time of the cycle log; b represents the preset environmental protection concentration; a i represents the comprehensive dust concentration of the ith dust removal area in all dust removal areas; a max Indicates the largest value among all comprehensive dust concentrations; ε i represents the calculation weight of the i-th dust removal area among all dust removal areas; δ represents the first calculation coefficient of the cycle log; g i Indicates the quality of the target goods; h i It represents the actual mass of the cargo obtained after unloading; μ represents the second calculation coefficient of the mass.

[0140] In this embodiment, the calculation weight refers to the calculation weight of each dust removal area which is preset according to the importance of each dust removal area in all dust removal areas.

[0141] In this embodiment, the first calculation coefficient refers to a preset calculation coefficient of the period log of each target cargo.

[0142] In this embodiment, the second calculation coefficient refers to a pre-set coefficient for facilitating the calculation of mass.

[0143] The working principle and beneficial effect of the above technical solution are: by accurately calculating the cycle log of the unloading cycle, an accurate cycle evaluation is obtained, which is conducive to accurately optimizing the dust removal process.

[0144] Embodiment 7:

[0145] Based on the above embodiment 5, the optimization module includes:

[0146] History acquisition unit: based on the historical evaluation database, obtains the historical cycle evaluation after the last optimization;

[0147] An index obtaining unit: obtaining a complete dust removal index based on the periodic evaluation and the historical periodic evaluation;

[0148] Index analysis unit: based on all dust removal completion indexes, obtain a second normal distribution diagram;

[0149] Optimization analysis unit: input the second normal distribution diagram into the optimization model to obtain the corresponding optimization scheme to optimize the dust removal process.

[0150] In this embodiment, the historical evaluation database refers to a database containing historical periodic evaluations.

[0151] In this embodiment, the historical cycle evaluation refers to the cycle evaluation after the last optimization of the dust removal equipment in the historical evaluation database.

[0152] In this embodiment, the second normal distribution graph refers to a normal distribution graph obtained by performing normal distribution on all dust removal completion indexes of the current cycle evaluation and the historical cycle evaluation.

[0153] In this embodiment, the optimization model refers to a model trained by the second normal distribution, the dust removal process, and the optimization scheme required by the dust removal process.

[0154] In this embodiment, the optimization scheme refers to a method for optimizing the dust removal process.

[0155] The working principle and beneficial effect of the above technical solution are: by analyzing the periodic evaluation, the dust removal process is optimized, which is beneficial to improving the dust removal efficiency of the ship unloader.

[0156] Embodiment 8:

[0157] Based on the above embodiment 1, the particle diameter classification unit includes:

[0158] Environmental protection judgment block: based on the real-time dust parameters obtained by each dust sensor in each dust removal area, obtain the second dust concentration;

[0159] If the second dust concentration is greater than the preset environmental protection concentration, the power of the dust removal equipment in the corresponding dust removal area is immediately increased.

[0160] In this embodiment, the second dust concentration refers to the dust concentration of all dust particles in the air.

[0161] The working principle and beneficial effect of the above technical solution are: by immediately increasing the power of the corresponding dust removal equipment for the dust removal area greater than the preset environmental protection concentration, and performing the analysis at the same time, dust removal is carried out in time to improve the dust removal efficiency of the ship unloader.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. 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 do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dust removal system for a ship unloader, characterized in that: include: Dust removal preparation module: Based on the unloading requirements of the ship unloader, the corresponding dust characteristics of the target cargo are obtained and the corresponding dust removal method combination is matched; Equipment distribution module: based on the dust removal method combination and the operation characteristics of each dust removal area of ​​the ship unloader, obtain the corresponding first equipment distribution; Real-time analysis module: Based on the real-time dust parameters of each dust removal area, the dust parameter changes during the unloading cycle are predicted, and the future dust removal parameters are obtained to adjust the dust removal equipment; Cycle evaluation module: Based on the cycle log of this unloading cycle, the dust removal of this unloading cycle is evaluated to obtain the corresponding cycle evaluation; Optimization module: Based on the cycle evaluation, the dust removal process is optimized.

2. A ship unloader dust removal system according to claim 1, characterized in that: The dust removal preparation module comprises: Target cargo acquisition unit: based on the unloading requirements of the ship unloader, obtain the corresponding target cargo; Dust feature acquisition unit: based on the dust particles of the target cargo, obtain the corresponding dust features; Dust removal method matching unit: based on the dust characteristics and the dust removal method database, obtain the corresponding dust removal method combination.

3. A ship unloader dust removal system according to claim 1, characterized in that: The device distribution module comprises: Sensor distribution unit: obtains sensor distribution based on the area of ​​each dust removal area of ​​the ship unloader and the monitoring range of the dust sensor; Dust distribution unit: based on the operating characteristics of each dust removal area, the corresponding proportion characteristics of the raised dust particles are obtained; A quantity acquisition unit: based on the proportion feature and the dust particle size that is more suitable for each dust removal method in the dust removal method combination, obtains the corresponding equipment quantity of each dust removal equipment; Equipment distribution unit: based on the number of equipment and the dust removal range of the dust removal equipment, obtain the corresponding dust removal equipment distribution; Distribution integration unit: based on the sensor distribution and the dust removal equipment distribution, obtain a first equipment distribution.

4. A ship unloader dust removal system according to claim 1, characterized in that: The real-time analysis module comprises: Particle diameter classification unit: obtains the real-time dust parameters obtained by each dust sensor in each dust removal area, and obtains the first particle concentration of each particle diameter range; A regional concentration calculation unit: based on the number of sensors in each dust removal area and the corresponding first particle concentration, obtains a first average concentration corresponding to each particle diameter range in each dust removal area; Stable moment acquisition unit: based on the current unloading cycle and each dust removal area, obtain the first moment when the dust concentration in each dust removal area begins to stabilize; Normal distribution unit: obtains the first average concentration of each dust removal area from the first moment to the current moment, and constructs a first normal distribution graph; An outlier value acquisition unit: based on the first normal distribution graph, obtains an outlier value less than a preset occurrence probability; A point map construction unit: constructing a first point map based on a first average concentration of each dust removal area from a first moment to a current moment; A replacement value unit: a unit for replacing the position of the corresponding outlier value as a replacement value based on the average value of the previous point and the next point of the outlier value in the first point diagram; A first curve construction unit: performing fitting based on the replaced first point graph to obtain a corresponding first curve; Prediction curve acquisition unit: based on each first curve, predict the particle concentration from the current moment to the last moment of the unloading cycle to obtain a prediction curve; A first difference value obtaining unit: obtaining a first difference value based on the maximum value and the minimum value of each prediction curve; If the first difference is less than the preset change difference, there is no need to adjust the dust removal equipment corresponding to the corresponding prediction curve; If the first difference is greater than or equal to the preset change difference, the corresponding dust removal equipment is adjusted based on the corresponding prediction curve.

5. A ship unloader dust removal system according to claim 1, characterized in that: The cycle assessment module includes: Comprehensive concentration acquisition unit: based on the cycle log of this unloading cycle, the comprehensive dust concentration of each dust removal area is obtained; If one or more of the comprehensive dust concentrations is greater than the preset environmental protection concentration, the assessment result of this unloading cycle will be unqualified; If all comprehensive dust concentrations are less than the preset environmental protection concentration, the corresponding dust removal completion index is calculated based on the cycle log; Evaluation acquisition unit: based on the dust removal completion index, obtains a corresponding cycle evaluation.

6. A ship unloader dust removal system according to claim 5, characterized in that: The calculation formula of dust removal completion index is as follows: Wherein, F represents the dust removal completion index of the cycle log; n represents the number of dust removal areas; m represents the number of dust removal equipment adjustments in the cycle log; T represents the cycle time of the cycle log; b represents the preset environmental protection concentration; a i represents the comprehensive dust concentration in the ith dust removal area among all dust removal areas; a max Indicates the largest value among all comprehensive dust concentrations; ε i represents the calculation weight of the i-th dust removal area among all dust removal areas; δ represents the first calculation coefficient of the cycle log; g i Indicates the quality of the target goods; h i It represents the actual mass of the cargo obtained after unloading; μ represents the second calculation coefficient of the mass.

7. A ship unloader dust removal system according to claim 5, characterized in that: The optimization module comprises: History acquisition unit: based on the historical evaluation database, obtains the historical cycle evaluation after the last optimization; An index obtaining unit: obtaining a complete dust removal index based on the periodic evaluation and the historical periodic evaluation; Index analysis unit: based on all dust removal completion indexes, obtain a second normal distribution diagram; Optimization analysis unit: input the second normal distribution diagram into the optimization model to obtain the corresponding optimization scheme to optimize the dust removal process.

8. A ship unloader dust removal system according to claim 4, characterized in that: The particle diameter classification unit comprises: Environmental protection judgment block: based on the real-time dust parameters obtained by each dust sensor in each dust removal area, obtain the second dust concentration; If the second dust concentration is greater than the preset environmental protection concentration, the power of the dust removal equipment in the corresponding dust removal area is immediately increased.

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