CN117687369A - Dust fall spraying energy-saving control method and system based on multi-source data - Google Patents
Dust fall spraying energy-saving control method and system based on multi-source data Download PDFInfo
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- CN117687369A CN117687369A CN202311708407.5A CN202311708407A CN117687369A CN 117687369 A CN117687369 A CN 117687369A CN 202311708407 A CN202311708407 A CN 202311708407A CN 117687369 A CN117687369 A CN 117687369A
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- 239000000428 dust Substances 0.000 title claims abstract description 400
- 238000005507 spraying Methods 0.000 title claims abstract description 105
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000010276 construction Methods 0.000 claims abstract description 34
- 230000000694 effects Effects 0.000 claims abstract description 33
- 238000012544 monitoring process Methods 0.000 claims abstract description 28
- 238000005457 optimization Methods 0.000 claims description 23
- 238000003860 storage Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 5
- 238000013507 mapping Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract description 21
- 238000005265 energy consumption Methods 0.000 abstract description 5
- 239000002699 waste material Substances 0.000 abstract description 5
- 230000033228 biological regulation Effects 0.000 abstract description 3
- 239000007921 spray Substances 0.000 description 15
- 239000002245 particle Substances 0.000 description 12
- 239000003595 mist Substances 0.000 description 7
- 230000007613 environmental effect Effects 0.000 description 5
- 239000013618 particulate matter Substances 0.000 description 5
- 230000001629 suppression Effects 0.000 description 5
- 238000011217 control strategy Methods 0.000 description 4
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- 230000009471 action Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
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- 230000005484 gravity Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 239000000809 air pollutant Substances 0.000 description 1
- 231100001243 air pollutant Toxicity 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000010419 fine particle Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 238000007711 solidification Methods 0.000 description 1
- 230000008023 solidification Effects 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
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Abstract
The application relates to the technical field of energy-saving regulation and control, and provides a dust fall spraying energy-saving control method and system based on multi-source data. The method comprises the following steps: acquiring weather forecast information of a target dust fall area; dividing the target dust fall area to obtain a dust fall area set, and dividing the construction site operation flow based on the dust fall area set to obtain an area operation flow set; the dust fall area set is monitored in real time to obtain a dust pollution information set, and dust pollution grades are classified to obtain dust pollution grades; matching the dust fall area set to obtain a mapped dust pollution level set, and independently controlling the dust fall area centralized spraying equipment to obtain a dust fall result set; and monitoring the dust settling effect of the dust settling result set, and controlling the spraying equipment to obtain an optimal dust settling result. The dust settling device solves the problems that in the prior art, dust settling equipment is controlled to solidify, energy consumption and water resource waste are easy to cause, and the technical effects of saving energy and water resource are achieved.
Description
Technical Field
The application relates to the technical field of energy-saving regulation and control, in particular to a dust fall spraying energy-saving control method and system based on multi-source data.
Background
The multi-source data is that the sources of the data are different, some data are from equipment, a numerical control machine tool, a production line, tools, an AGV (automatic guided vehicle), a database and the like, and all the data do not exist independently and need to be fused together for processing. The dust falling spray is an effective dust falling mode, can reduce dust particles in air, and improves the working environment and the air quality. The principle is that particles generated by spraying are combined with dust particles in air to form agglomerates of dust and water mist, and the agglomerates are settled under the action of gravity. The water mist combines with dust particles in the air to form an aggregate of the dust and the water mist, and the aggregate is settled under the action of gravity. The water mist particles with too large volume squeeze dust-containing air, are affected by turbulent flow, are not easy to collide with dust particles, and have very little possibility of dust fine particles agglomerating; and too small water mist particles are easily evaporated and dust cannot be captured. The probability of collision of water mist particles and dust particles with the same or similar volumes is high, the water mist particles collide and agglomerate with the dust particles to form agglomerates, the agglomerates become larger and heavier continuously until the agglomerates settle naturally finally, and the aim of eliminating dust is achieved.
In summary, the dust settling device in the prior art controls solidification, which is easy to cause the problems of energy consumption and water resource waste.
Disclosure of Invention
Accordingly, it is necessary to provide a dust-settling spraying energy-saving control method and system based on multi-source data, which can save energy and water resources, in order to solve the above-mentioned technical problems.
In a first aspect, the present application provides a dust suppression spray energy saving control method based on multi-source data, the method comprising: acquiring weather forecast information of a target dust fall area; dividing the target dust fall area based on a construction site operation flow to obtain a dust fall area set, and dividing the construction site operation flow based on the dust fall area set to obtain an area operation flow set; the dust fall area set is monitored in real time to obtain a dust pollution information set, and dust pollution levels are classified by combining the weather forecast information, the dust pollution information set and the area operation flow set to obtain dust pollution levels; matching the dust fall area set to obtain a mapped dust pollution level set, and independently controlling the dust fall area centralized spraying equipment according to the dust pollution level set to obtain a dust fall result set; and monitoring the dust settling effect of the dust settling result set, and controlling the spraying equipment to obtain an optimal dust settling result.
In a second aspect, the present application provides a dust suppression spray energy saving control system based on multi-source data, the system comprising: the weather forecast information acquisition module is used for acquiring weather forecast information of the target dust fall area; the dust fall region set acquisition module is used for dividing the target dust fall region based on a construction site operation flow to acquire a dust fall region set, and dividing the construction site operation flow based on the dust fall region set to acquire a region operation flow set; the dust pollution level obtaining module is used for monitoring the dust falling area set in real time to obtain a dust pollution information set, and carrying out dust pollution level division by combining the weather forecast information, the dust pollution information set and the area operation flow set to obtain dust pollution levels; the dust fall result set obtaining module is used for matching the dust fall area set to obtain a mapped dust fall pollution level set, and carrying out independent control on spraying equipment in the dust fall area set according to the dust fall pollution level set to obtain a dust fall result set; and the optimal dust fall result obtaining module is used for monitoring the dust fall effect of the dust fall result set and controlling the spraying equipment to obtain the optimal dust fall result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
firstly, weather forecast information of a target dust fall area is obtained; secondly, dividing the target dust fall area based on a construction site operation flow to obtain a dust fall area set, and dividing the construction site operation flow based on the dust fall area set to obtain an area operation flow set; then, the dust fall area set is monitored in real time to obtain a dust pollution information set, and dust pollution levels are classified by combining the weather forecast information, the dust pollution information set and the area operation flow set to obtain dust pollution levels; matching the dust fall area set to obtain a mapped dust pollution level set, and independently controlling the dust fall area centralized spraying equipment according to the dust pollution level set to obtain a dust fall result set; and finally, monitoring the dust fall effect of the dust fall result set, and controlling the spraying equipment to obtain an optimal dust fall result. The dust settling device solves the problems that in the prior art, dust settling equipment is controlled to solidify, energy consumption and water resource waste are easy to cause, and the technical effects of saving energy and water resource are achieved.
The foregoing description is merely an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
FIG. 1 is a flow chart of a dust suppression spray energy saving control method based on multi-source data in one embodiment;
FIG. 2 is a schematic flow diagram of a dust fall result set acquisition of a dust fall spray energy saving control method based on multi-source data in one embodiment;
FIG. 3 is a block diagram of a dust suppression spray energy saving control system based on multi-source data in one embodiment.
Reference numerals illustrate: the system comprises a weather forecast information acquisition module 11, a dust fall area set acquisition module 12, a dust emission pollution level acquisition module 13, a dust fall result set acquisition module 14 and an optimal dust fall result acquisition module 15.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, the present application provides a dust fall spray energy saving control method based on multi-source data, the method comprising:
acquiring weather forecast information of a target dust fall area;
multisource data refers to data generated by a plurality of different data sources or sources. These data sources may be various sensors, databases, data sets, network resources, and the like. These data sources may provide various forms of data, such as text, images, video, audio, etc., and in a dust fall spray control method, the multi-source data may include environmental monitoring data, weather data, etc. The data can be used for analyzing the influence of environmental conditions, meteorological conditions, traffic conditions and other factors on dust fall spraying, so that a basis is provided for spraying control. For example, the environmental monitoring data may provide information regarding environmental indicators of air quality, particulate concentration, etc., which may be used to determine whether the spray system needs to be turned on and to control the operating time and intensity of the spray system. The meteorological data can provide information such as wind direction, wind speed, temperature and the like, and the information can be used for predicting the diffusion direction and diffusion speed of air pollutants, so that the spraying time and the spraying position can be better selected; the traditional control method only has two working states of on and off, and cannot be dynamically adjusted according to weather, wind direction and force, pollution conditions, site operation conditions and the like. Therefore, the dust settling effect is poor, energy is wasted, and the application provides the dust settling spraying energy-saving control method based on the multi-source data.
The target dust-settling area refers to an area which needs dust reduction and is selected by a worker, and comprises areas such as a construction site and the like; the step of obtaining weather forecast information of the target dust-falling area refers to carrying out weather forecast information of the target dust-falling area by various means, and the weather forecast information of the target dust-falling area can be obtained through weather forecast websites, mobile phone application programs or weather forecast services, wherein the weather forecast information comprises weather parameters such as temperature, humidity, wind direction, wind speed, air pressure and the like; the meteorological parameters of the target dust fall area can be monitored in real time by installing meteorological monitoring equipment in the area, and real-time meteorological data can be obtained; by installing air quality monitoring equipment in a target dust fall area, air quality data of the area can be acquired, wherein the air quality data comprises particulate matter concentration information such as PM2.5 and PM 10; through the remote sensing technology, high-resolution remote sensing image data of a target dust fall area can be obtained, the information including landforms, vegetation coverage, buildings and the like is included, weather forecast information is obtained through various modes and channels, weather conditions and environmental conditions of the target area can be better known, and accordingly basis is provided for spray control.
A weather prediction channel is constructed, and the weather prediction channel comprises a wind power prediction unit, a wind direction prediction unit and a rainfall prediction unit;
training the weather prediction channel according to wind power information record, wind direction information record and rainfall information record in the weather information record to obtain standard weather prediction accuracy;
and inputting the wind power prediction unit, the wind direction prediction unit and the rainfall prediction unit in the weather prediction channel according to real-time wind power information, wind direction information and rainfall information to obtain weather prediction information, comparing according to the weather prediction information and weather information records, and extracting the weather prediction information when weather comparison accuracy meets the standard weather prediction accuracy.
The weather prediction channel is a module for predicting weather conditions of the target dust fall area, and comprises a wind power prediction unit, a wind direction prediction unit and a rainfall prediction unit, and real-time wind power, wind direction and rainfall information are obtained by constructing the weather prediction channel and are input into the weather prediction channel to obtain weather prediction information; the weather information record is material information recorded by specific information of weather in the past time; firstly, constructing a wind power prediction unit, wherein the wind power prediction unit is a neural network model which can be continuously subjected to iterative optimization in machine learning, and is obtained through monitoring training of wind power information records in the meteorological information records. The wind power prediction unit is supervised and trained through wind power information record in the meteorological information record, when a model output result tends to be in a convergence state, the wind power information accuracy of the wind power prediction unit is verified through the real-time wind power information, and the standard meteorological prediction accuracy is obtained, and indexes of the standard meteorological prediction accuracy can be custom set by a person skilled in the art based on actual conditions, such as: 95%. When the output result accuracy of the wind power prediction unit is greater than or equal to the standard weather prediction accuracy, the wind power prediction unit is obtained, the wind direction prediction unit and the rainfall prediction unit can be constructed according to the method, and the wind power prediction unit, the wind direction prediction unit and the rainfall prediction unit are constructed to obtain a weather prediction channel. Real-time wind power, wind direction and rainfall information are obtained by constructing a weather prediction channel, and the information is compared with a historical weather information record to control the operation of the dust fall spraying system, so that the aims of energy saving and control are achieved.
Dividing the target dust fall area based on a construction site operation flow to obtain a dust fall area set, and dividing the construction site operation flow based on the dust fall area set to obtain an area operation flow set;
the working flow of the construction site refers to the working flow implemented by the target dust fall area, the working flow of the construction site is acquired by firstly needing to know and acquire the working flow of the construction site, including each working link and the relation between the working links, and the working flow can be acquired by examining and collecting related data on the construction site or consulting professionals on the construction site; according to the working flow of a construction site, the areas which are easy to generate dust can be identified, then the areas are divided into target dust-falling areas, the target dust-falling areas can be obtained through observation and analysis of the environment of the construction site or simulation by using a related model, wherein a dust-falling area set refers to a set of areas which need dust-falling operation in the target dust-falling areas; based on the dust fall area set, the work flow of the construction site can be divided, namely, different dust fall areas are allocated to different operation teams or operation links, and the work flow of the construction site can be obtained through analysis of the work flow of the construction site and negotiation and discussion of related personnel; acquiring a regional operation flow set: based on the division result of the dust fall region set, the operation flow set of each region can be obtained, and the operation flows of each region are summarized and arranged to obtain the region operation flow set. By the method, the division of the work flow of the construction site can be realized, and the corresponding regional work flow set is acquired, so that the dust fall problem of the construction site is better managed and controlled. Meanwhile, the method can be adjusted and optimized according to actual conditions so as to adapt to different construction environments and operation requirements.
The dust fall area set is monitored in real time to obtain a dust pollution information set, and dust pollution levels are classified by combining the weather forecast information, the dust pollution information set and the area operation flow set to obtain dust pollution levels;
by installing a sensor or monitoring equipment in each region in the dust falling region set, indexes such as dust concentration, particulate matter concentration and the like in the regions can be monitored in real time, so that a dust pollution information set is obtained, wherein the dust pollution information set refers to a collection of pollutant conditions in the dust falling region; weather forecast information of the target dust fall area can be obtained through the weather forecast channel; and combining the dust pollution information set obtained by real-time monitoring with the acquired weather forecast information to comprehensively consider the influence of dust pollution and weather conditions on the construction site environment. This step can be implemented by data analysis and processing, and dust pollution classification can be performed for each dust area based on the combined dust pollution information set and the meteorological prediction information. According to different grades, different control measures can be adopted, such as spraying, watering enhancement, site sealing management enhancement and the like, and the data can be analyzed and processed, and the data can be divided by combining actual conditions with related standards or regulations; based on the result of the dust pollution level division, the dust pollution level of each dust falling area can be obtained. The dust fall area set is monitored in real time, and the dust fall pollution level is classified by combining weather forecast information, dust fall pollution information set and area operation flow set, so that corresponding control measures are adopted, and dust fall pollution of the construction site environment is further reduced.
The dust fall area set is monitored in real time through dust fall monitoring equipment to obtain the dust pollution information set;
wind power prediction information, wind direction prediction information and rainfall prediction information in the weather prediction information are obtained, dust pollution error evaluation is carried out on the dust pollution information set, and weather dust pollution error is obtained;
the dust fall area set mapped by the meteorological dust pollution error is intensively matched with the area operation flow to obtain the dust fall of the controllable area, and the dust fall pollution level is obtained by combining the meteorological dust pollution error and the dust fall of the controllable area through the dust fall pollution information set.
And installing dust monitoring equipment such as a particulate matter concentration monitor or a dust sensor in each dust falling area so as to monitor the indexes such as dust concentration, particulate matter concentration and the like in the areas in real time, recording the monitoring data to form a dust pollution information set, and acquiring wind power prediction information, wind direction prediction information and rainfall prediction information of the target dust falling area through weather forecast data or remote sensing data. The information can be used for evaluating the influence of meteorological conditions on dust pollution, the meteorological dust error refers to a dust pollution information set and meteorological prediction information monitored in real time, error analysis and evaluation are carried out on the data, and the dust pollution error of each area can be obtained by comparing actual monitoring data with meteorological prediction data; according to the dust pollution error of each area, a controllable area matched with the area can be found in the area operation flow set, and the controllable area can adjust control measures such as adding spraying, strengthening sprinkling and the like according to the error; for each controllable area, corresponding control measures can be formulated according to the dust pollution error and the characteristics of the area operation flow so as to reduce the dust pollution of the area. These measures may include adjusting construction processes, improving material use, etc.; and comprehensively analyzing the dust pollution information set monitored in real time, the meteorological dust pollution error and the dust in the controllable area to obtain the final dust pollution level of each area. According to different grades, more targeted control measures can be taken. The method realizes real-time monitoring and comprehensive evaluation of the dust fall area of the construction site, combines the characteristics of weather forecast information and controllable areas, and formulates corresponding control measures so as to reduce dust pollution of the construction site and realize the aims of energy conservation and control.
Matching the dust fall area set to obtain a mapped dust pollution level set, and independently controlling the dust fall area centralized spraying equipment according to the dust pollution level set to obtain a dust fall result set;
and matching each dust falling area with the corresponding dust pollution level according to the dust pollution level, so as to form a mapped dust pollution level set. This set provides the current dust pollution status of each dust fall area; and according to the mapped dust pollution level set, independently controlling the spraying equipment of each dust falling area. According to different dust pollution levels, different control strategies can be adopted, such as adjusting the on-off state of the spraying equipment, adjusting the water spraying pressure and flow of the spraying equipment and the like; by independently controlling the spraying apparatus, dust fall results for each dust fall area can be obtained. These results may include indicators of dust fall, particulate matter concentration fall rate, etc., to evaluate the effectiveness of the control measures. By the method, the precise control of the site spraying equipment is realized, corresponding control measures are adopted according to the dust pollution condition of each area, so that dust pollution is reduced, and the dust falling result of each area is obtained. These results can be used to evaluate the effect of the control measures and to further optimize the control strategy.
As shown in fig. 2, matching is performed in the dust fall area set according to the dust pollution levels, so as to obtain the mapped dust pollution level set;
matching a spraying equipment storage library according to the dust pollution level set to obtain the spraying equipment with regional mapping;
and carrying out independent control on the areas according to the spraying equipment to obtain the dust fall result set.
And matching each dust falling area with the corresponding dust pollution level according to the dust pollution level monitored in real time, so as to form a mapped dust pollution level set. This set provides the current dust pollution status of each dust fall area; according to the mapped dust pollution level set, the spraying equipment in the spraying equipment storage library can be screened out and matched with a dust fall area, wherein the spraying equipment storage library refers to an information library of all spraying equipment types in the target dust fall area, and screening and matching are carried out based on factors such as performance characteristics and application range of the spraying equipment, so that the spraying equipment with area mapping is obtained; and according to the matched spraying equipment and the dust fall areas, the spraying equipment in each area is independently controlled. According to different characteristics and control requirements of the spraying equipment, different control strategies can be adopted, such as adjusting the on-off state of the spraying equipment, adjusting the water spraying pressure and flow of the spraying equipment and the like; by independently controlling the spraying apparatus, dust fall results for each dust fall area can be obtained. The method can realize accurate control of the site spraying equipment, select proper spraying equipment according to the dust pollution condition of each area and independently control the spraying equipment so as to reduce dust pollution and obtain the dust falling result of each area.
Judging the satisfaction of the dust pollution information set according to the dust falling result set, and generating a spraying equipment stopping instruction when the dust falling result set is lower than the pollution degree of the dust pollution information set;
and executing the stopping of the spraying equipment according to the stopping instruction of the spraying equipment.
And comparing the dust fall result set monitored in real time with the dust pollution information set. If the pollution degree in the dust falling result set is lower than the pollution degree in the dust raising pollution information set, the preset dust falling target can be considered to be met, and a spraying equipment stopping instruction is generated; when the preset dust falling target is met, a spraying equipment stopping instruction can be generated, and the instruction can be a simple signal or an instruction for indicating the spraying equipment to stop working; upon receiving the spraying device stopping instruction, a stopping operation of the spraying device may be performed. This may be accomplished by a control circuit, communication interface, or other means to shut down or halt operation of the spraying device. By the method, the intelligent control of the spraying equipment on the construction site can be realized, and when the pollution degree in the dust fall result set is lower than the pollution degree in the preset dust emission pollution information set, the stopping instruction of the spraying equipment can be automatically generated and the spraying equipment can be closed, so that the consumption of energy and water resources is effectively reduced.
And monitoring the dust settling effect of the dust settling result set, and controlling the spraying equipment to obtain an optimal dust settling result.
The dust settling effect is evaluated by comparing indexes such as particle concentration, air quality index and the like before and after dust settling, namely the dust settling effect is monitored on the dust settling result set, and a dust settling effect monitoring result is obtained; according to the dust fall effect monitoring result, controlling the spraying equipment to obtain an optimal dust fall result, and finding optimal control parameters through experiments or simulation, for example, adjusting parameters such as the on-off state, the water spray pressure and the flow of the spraying equipment to obtain an optimal dust fall effect, wherein the result after the spraying equipment works under the control parameters is the optimal dust fall result; according to the method, intelligent control and optimization adjustment of the site spraying equipment can be realized, so that a better dust settling effect is obtained.
Carrying out serialization treatment on the dust fall result set, and extracting dust fall results meeting a preset dust fall optimization effect threshold value to obtain a dust fall optimization set;
and matching the dust fall optimization set with the spraying equipment storage library, executing independent control of areas, and executing stopping of the spraying equipment when the dust fall optimization set is lower than the preset dust fall optimization effect threshold value.
And carrying out serialization processing on the dust fall result set monitored in real time, namely converting the data into a string of characters according to a certain rule and format. The character sequence can be conveniently stored and transmitted, in the application, the dust falling results in the dust falling result set are ordered, and the preset dust falling optimization effect threshold value is a value set by a worker and is used for judging whether the dust falling effect reaches the expected value; analyzing the serialized dust fall result set, extracting dust fall results which accord with a preset dust fall optimizing effect threshold, and sorting the extracted dust fall results which accord with the preset dust fall optimizing effect threshold into a set, wherein the set is the dust fall optimizing set; according to the information in the dust fall optimization set, the spraying equipment in a proper spraying equipment storage library can be screened out and matched with a dust fall area meeting the optimization effect by screening and matching the factors such as the performance characteristics, the application range and the like of the spraying equipment; and according to the matched spraying equipment and the dust fall areas meeting the optimization effect, the spraying equipment of each area is independently controlled. According to different characteristics and control requirements of the spraying equipment, different control strategies can be adopted, such as adjusting the on-off state of the spraying equipment, adjusting the water spraying pressure and flow of the spraying equipment and the like; in the process of executing the independent control of the areas, if the data in the dust fall optimization set is found to be lower than the preset dust fall optimization effect threshold value, the spraying equipment of the corresponding area can be immediately stopped, so that unnecessary energy consumption and water resource waste can be avoided. The dust settling device solves the problems that in the prior art, dust settling equipment is controlled to solidify, energy consumption and water resource waste are easy to cause, and the technical effects of saving energy and water resource are achieved.
As shown in fig. 3, an embodiment of the present application further includes a dust suppression spray energy saving control system based on multi-source data, the system including:
a weather forecast information acquisition module 11, wherein the weather forecast information acquisition module 11 is used for acquiring weather forecast information of a target dust-falling area;
a dust fall region set acquisition module 12, where the dust fall region set acquisition module 12 is configured to divide the target dust fall region based on a worksite operation procedure to acquire a dust fall region set, and divide the worksite operation procedure based on the dust fall region set to acquire a region operation procedure set;
the dust pollution level obtaining module 13 is used for monitoring the dust falling area set in real time to obtain a dust pollution information set, and carrying out dust pollution level division by combining the weather forecast information, the dust pollution information set and the area operation flow set to obtain dust pollution levels;
the dust fall result set obtaining module 14, wherein the dust fall result set obtaining module 14 is used for matching the dust fall area set to obtain a mapped dust fall pollution level set, and performing independent control on the dust fall area centralized spraying equipment according to the dust fall pollution level set to obtain a dust fall result set;
the optimal dust fall result obtaining module 15 is used for monitoring the dust fall effect of the dust fall result set, and controlling the spraying equipment to obtain the optimal dust fall result.
Further, the embodiment of the application further comprises:
the weather prediction channel construction module is used for constructing a weather prediction channel and comprises a wind power prediction unit, a wind direction prediction unit and a rainfall prediction unit;
the standard weather prediction accuracy rate obtaining module is used for training the weather prediction channel according to wind power information record, wind direction information record and rainfall information record in the weather information record to obtain standard weather prediction accuracy rate;
the weather forecast information extraction module is used for inputting the wind forecast unit, the wind forecast unit and the rainfall forecast unit in the weather forecast channel according to real-time wind information, wind direction information and rainfall information to obtain weather forecast information, comparing according to the weather forecast information and weather information records, and extracting the weather forecast information when weather comparison accuracy meets the standard weather forecast accuracy.
Further, the embodiment of the application further comprises:
the dust pollution information set obtaining module is used for monitoring the dust fall area set in real time through dust monitoring equipment to obtain the dust pollution information set;
the weather dust pollution error obtaining module is used for obtaining wind power prediction information, wind direction prediction information and rainfall prediction information in the weather prediction information, and carrying out dust pollution error evaluation on the dust pollution information set to obtain weather dust pollution error;
the dust pollution level obtaining module is used for intensively matching the dust falling area set mapped by the meteorological dust pollution error in the area operation flow to obtain the dust in the controllable area, and combining the meteorological dust pollution error and the dust in the controllable area by the dust pollution information set to obtain the dust pollution level.
Further, the embodiment of the application further comprises:
the dust pollution level set obtaining module is used for intensively matching the dust pollution levels in the dust falling area according to the dust pollution levels to obtain the mapped dust pollution level set;
the spraying equipment obtaining module is used for matching a spraying equipment storage library according to the dust pollution level set to obtain the spraying equipment with area mapping;
and the dust fall result set obtaining module is used for carrying out independent area control according to the spraying equipment to obtain the dust fall result set.
Further, the embodiment of the application further comprises:
the spraying equipment stop instruction generation module is used for judging the satisfaction of the dust pollution information set according to the dust fall result set, and generating a spraying equipment stop instruction when the dust fall result set is lower than the pollution degree of the dust pollution information set;
and the spraying equipment execution instruction module is used for executing the stopping of the spraying equipment according to the spraying equipment stopping instruction.
Further, the embodiment of the application further comprises:
the serialization processing module is used for serializing the dust fall result set, extracting the dust fall result which accords with a preset dust fall optimization effect threshold value, and obtaining a dust fall optimization set;
and the region independent control execution module is used for matching the dust fall optimization set with the spraying equipment storage library, executing region independent control, and executing stopping of the spraying equipment when the dust fall optimization set is lower than the preset dust fall optimization effect threshold.
For specific embodiments of the dust-settling spray energy-saving control system based on the multi-source data, reference may be made to the above embodiments of the dust-settling spray energy-saving control method based on the multi-source data, which are not described herein. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (7)
1. The dust fall spraying energy-saving control method based on the multi-source data is characterized by comprising the following steps of:
acquiring weather forecast information of a target dust fall area;
dividing the target dust fall area based on a construction site operation flow to obtain a dust fall area set, and dividing the construction site operation flow based on the dust fall area set to obtain an area operation flow set;
the dust fall area set is monitored in real time to obtain a dust pollution information set, and dust pollution levels are classified by combining the weather forecast information, the dust pollution information set and the area operation flow set to obtain dust pollution levels;
matching the dust fall area set to obtain a mapped dust pollution level set, and independently controlling the dust fall area centralized spraying equipment according to the dust pollution level set to obtain a dust fall result set;
and monitoring the dust settling effect of the dust settling result set, and controlling the spraying equipment to obtain an optimal dust settling result.
2. The method of claim 1, wherein the obtaining weather forecast information for the target dust region comprises:
a weather prediction channel is constructed, and the weather prediction channel comprises a wind power prediction unit, a wind direction prediction unit and a rainfall prediction unit;
training the weather prediction channel according to wind power information record, wind direction information record and rainfall information record in the weather information record to obtain standard weather prediction accuracy;
and inputting the wind power prediction unit, the wind direction prediction unit and the rainfall prediction unit in the weather prediction channel according to real-time wind power information, wind direction information and rainfall information to obtain weather prediction information, comparing according to the weather prediction information and weather information records, and extracting the weather prediction information when weather comparison accuracy meets the standard weather prediction accuracy.
3. The method of claim 1, wherein the obtaining a dust pollution level comprises:
the dust fall area set is monitored in real time through dust fall monitoring equipment to obtain the dust pollution information set;
wind power prediction information, wind direction prediction information and rainfall prediction information in the weather prediction information are obtained, dust pollution error evaluation is carried out on the dust pollution information set, and weather dust pollution error is obtained;
the dust fall area set mapped by the meteorological dust pollution error is intensively matched with the area operation flow to obtain the dust fall of the controllable area, and the dust fall pollution level is obtained by combining the meteorological dust pollution error and the dust fall of the controllable area through the dust fall pollution information set.
4. The method of claim 1, wherein the obtaining a dust fall result set, the method comprising:
matching is conducted in the dust fall area in a concentrated mode according to the dust pollution levels, and the mapped dust pollution level set is obtained;
matching a spraying equipment storage library according to the dust pollution level set to obtain the spraying equipment with regional mapping;
and carrying out independent control on the areas according to the spraying equipment to obtain the dust fall result set.
5. The method of claim 4, wherein the method comprises:
judging the satisfaction of the dust pollution information set according to the dust falling result set, and generating a spraying equipment stopping instruction when the dust falling result set is lower than the pollution degree of the dust pollution information set;
and executing the stopping of the spraying equipment according to the stopping instruction of the spraying equipment.
6. The method of claim 4, wherein the controlling the spraying apparatus to obtain optimal dust fall results comprises:
carrying out serialization treatment on the dust fall result set, and extracting dust fall results meeting a preset dust fall optimization effect threshold value to obtain a dust fall optimization set;
and matching the dust fall optimization set with the spraying equipment storage library, executing independent control of areas, and executing stopping of the spraying equipment when the dust fall optimization set is lower than the preset dust fall optimization effect threshold value.
7. Dust fall spraying energy-saving control system based on multisource data, which is characterized in that the system comprises:
the weather forecast information acquisition module is used for acquiring weather forecast information of the target dust fall area;
the dust fall region set acquisition module is used for dividing the target dust fall region based on a construction site operation flow to acquire a dust fall region set, and dividing the construction site operation flow based on the dust fall region set to acquire a region operation flow set;
the dust pollution level obtaining module is used for monitoring the dust falling area set in real time to obtain a dust pollution information set, and carrying out dust pollution level division by combining the weather forecast information, the dust pollution information set and the area operation flow set to obtain dust pollution levels;
the dust fall result set obtaining module is used for matching the dust fall area set to obtain a mapped dust fall pollution level set, and carrying out independent control on spraying equipment in the dust fall area set according to the dust fall pollution level set to obtain a dust fall result set;
and the optimal dust fall result obtaining module is used for monitoring the dust fall effect of the dust fall result set and controlling the spraying equipment to obtain the optimal dust fall result.
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