CN117557044B - Building operation environment monitoring method and equipment based on Internet of things platform - Google Patents
Building operation environment monitoring method and equipment based on Internet of things platform Download PDFInfo
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Abstract
The application provides a building operation environment monitoring method and equipment based on an Internet of things platform. The method can generate a plurality of corresponding environment monitoring sensor sequences based on the environment monitoring sampling point map and the environment monitoring information. A second location of a building operation environmental pollution source is determined based on the first location, each environmental monitoring sensor sequence, and a pre-trained location identification model. And determining the pollution intensity value of the environmental pollution source of the construction operation according to the second position, the first position sequences corresponding to the environment monitoring sensor sequences and the environment monitoring information. Based on the pollution intensity value and the environment monitoring sensor sequence, monitoring information corresponding to the environmental pollution source of the building operation is generated so as to correct a preset rule and/or perform current alarm on the environmental pollution source of the building operation. Therefore, the problems that the monitoring mode of the building operation environment is not intelligent and flexible and the use experience of a user is affected are solved.
Description
Technical Field
The application relates to the technical field of environment monitoring, in particular to a building operation environment monitoring method and equipment based on an internet of things platform.
Background
In order to realize green construction of building operation, a constructor also lays equipment for monitoring environmental changes. After the monitoring equipment is completely distributed, building operation environment pollution information in a certain area range is fixedly collected, and the environment pollution information is displayed to a user in real time, so that the user can take corresponding treatment measures.
However, with the continuous promotion of construction progress and the continuous change of environment, the laid monitoring equipment can only be used for displaying whether pollution exists or not, and is not combined with other fields for auxiliary monitoring work. The monitoring mode of the existing monitoring equipment is not intelligent enough, the monitoring on the construction operation environment is not flexible enough, for example, the positioning of a pollution source still needs to be performed manually, and the intelligent requirement of a user on the monitoring equipment is difficult to meet.
Disclosure of Invention
The embodiment of the application provides a building operation environment monitoring method and device based on an Internet of things platform, which are used for solving the problems that the existing building operation environment monitoring mode is not intelligent and flexible enough and the use experience of a user in using building operation environment monitoring equipment is affected.
In one aspect, an embodiment of the present application provides a building operation environment monitoring method based on an internet of things platform, where the method is applied to a building operation environment monitoring system; the method comprises the following steps:
Acquiring environment monitoring information acquired by a plurality of environment monitoring sensors; the environment monitoring sensors are regularly arranged in a preset building operation area according to a preset rule; the preset rules comprise arrangement rules of the environment monitoring sensors;
generating an environment monitoring sampling point map corresponding to the building operation area according to the environment monitoring information; the environment monitoring sampling point map at least comprises a first position of the environment monitoring sensor;
generating a plurality of corresponding environment monitoring sensor sequences based on the environment monitoring sampling point map and the environment monitoring information; the environmental monitoring sensor sequence includes at least one of the environmental monitoring sensors or a plurality of adjacent environmental monitoring sensors;
determining a second position of a building operation environmental pollution source based on the first position, each environmental monitoring sensor sequence and a pre-trained position identification model;
determining a pollution intensity value of the building operation environment pollution source according to the second position, the first position sequence corresponding to each environment monitoring sensor sequence and the environment monitoring information;
And generating monitoring information corresponding to the construction operation environment pollution source based on the pollution intensity value and the environment monitoring sensor sequence so as to correct the preset rule and/or perform current alarm on the construction operation environment pollution source.
In one implementation manner of the present application, based on the environment monitoring sampling point map and the environment monitoring information, generating a plurality of corresponding environment monitoring sensor sequences specifically includes:
determining an environment monitoring value corresponding to each environment monitoring sensor according to the environment monitoring information;
taking the first position of each environment monitoring sensor meeting preset conditions in the environment monitoring sampling point map as an initial clustering position; the preset condition is that a preset number of environment monitoring sensors exist in a preset distance range of the first position, and the preset number of environment monitoring sensors acquire the environment monitoring information in a first preset time;
determining the first position of each environment monitoring sensor meeting the density connection relation with the initial clustering position as a related clustering position based on the initial clustering position, the environment monitoring value and a preset density-based clustering algorithm DBSCAN;
And according to the first position, sequentially adding the initial clustering position and each environment monitoring sensor corresponding to each corresponding related clustering position to the environment monitoring sensor sequence.
In one implementation manner of the present application, determining, according to the environmental monitoring information, an environmental monitoring value corresponding to each environmental monitoring sensor specifically includes:
determining an environment value curve in a second preset time in each environment monitoring message;
determining the coordinates of the mutation points existing in each environment value curve, and determining a first environment value corresponding to the coordinates of the mutation points; the slope value of the mutation point coordinate corresponding to the left neighborhood range is larger than a preset threshold value;
and determining the corresponding environment monitoring value of the environment monitoring sensor according to the weighted average value of the first environment values in the same environment value curve.
In one implementation manner of the present application, determining, according to a weighted average value of each of the first environmental values in the same environmental value curve, an environmental monitoring value corresponding to the corresponding environmental monitoring sensor specifically includes:
normalizing each first environment value to obtain a relative environment value;
Combining the relative environment values of which the abscissa distance difference is smaller than the preset difference and in the same preset time period to obtain a second environment value;
matching the environmental value weights in a preset weight list according to the preset time period corresponding to each second environmental value in the environmental value curve; the corresponding relation exists between each environmental value weight in the weight list and a preset time period; the environmental severity of each preset time period is different;
and determining a weighted average value of the second environmental values in the same environmental value curve as the environmental monitoring value of the corresponding environmental monitoring sensor according to the matched environmental value weights and the second environmental values.
In one implementation of the present application, determining the second location of the environmental pollution source of the construction work based on the first location, each of the environmental monitoring sensor sequences, and a pre-trained location identification model specifically includes:
acquiring a plurality of environmental monitoring sensor sequence samples; the environmental monitoring sensor sequence sample comprises first positions, position arrangement densities and corresponding environmental monitoring values of the environmental monitoring sensors under a plurality of different building operation environmental pollution sources;
Sequentially inputting the environmental monitoring sensor sequence samples which are of a first designated number and correspond to the same building operation environmental pollution source as training samples into the position identification model for training until the training times reach preset training times, and determining a second position of the building operation environmental pollution source;
taking the environmental monitoring sensor sequence sample of the second appointed data as a verification sample, and inputting the position identification model after the training times reach the preset training times to determine the model accuracy of the position identification model;
obtaining the position recognition model after training is completed under the condition that the model accuracy is larger than an accuracy threshold, otherwise, continuing training the position recognition model until the model accuracy is larger than the accuracy threshold;
inputting the first position and each environment monitoring sensor sequence into the trained position identification model, and determining the second position corresponding to the building operation environment pollution source.
In one implementation manner of the present application, inputting the first location and each environmental monitoring sensor sequence into the trained location identification model, and determining the second location corresponding to the environmental pollution source of the construction work specifically includes:
Determining the corresponding relation between the first position and the environment monitoring value through the position identification model;
when the environment monitoring sensor sequence comprises one environment monitoring sensor, taking the environment monitoring sensor as a center, taking a preset distance corresponding to the environment monitoring value as a radius, and generating a pollution source first prediction area so as to select at least one second position in the pollution source first prediction area; the environment monitoring value and the preset distance are in inverse proportion;
and when the environment monitoring sensor sequence comprises more than two environment monitoring sensors, taking the environment monitoring sensor with the largest environment monitoring value as a center, taking a preset distance corresponding to the environment monitoring value as a radius to generate a pollution source second prediction area, taking other environment monitoring sensors as the center, taking a preset distance corresponding to the corresponding environment monitoring value as a radius to generate a pollution source third prediction area, and determining the second position according to the intersection of the pollution source second prediction area and the pollution source third prediction area.
In one implementation manner of the present application, determining the pollution intensity value of the construction operation environmental pollution source according to the second location, the first location sequence corresponding to each environmental monitoring sensor sequence, and the environmental monitoring information specifically includes:
Generating the first position sequence according to the distance between each first position and the second position;
determining a position weight vector corresponding to the first position sequence according to a position weight list pre-stored in a database;
and determining the pollution intensity value of the building operation environment pollution source based on the position weight vector and the dot multiplication result of the environment monitoring value vector corresponding to the environment monitoring information.
In one implementation manner of the present application, based on the pollution intensity value and the environmental monitoring sensor sequence, the generating monitoring information corresponding to the construction operation environmental pollution source specifically includes:
generating a pollution spreading area by taking the second position as a center and taking the maximum value of the distance between the first position and the second position in the environment monitoring sensor sequence as a radius;
generating a corresponding environment monitoring value curve according to the environment monitoring value corresponding to the environment monitoring sensor in the pollution spreading area and the distance relation between the environment monitoring value and the second position; the abscissa of the environment monitoring value curve is the distance between the first position and the second position, and the ordinate is the environment monitoring value;
Under the condition that the environment monitoring value curve does not meet the decreasing curve, determining the first position of the environment monitoring sensor corresponding to the abscissa of the corresponding mutation point as a first position to be corrected;
and adding the pollution spreading area and the first position to be corrected to the monitoring information according to the alarm level corresponding to the pollution intensity value.
In one implementation manner of the present application, according to an environmental monitoring value corresponding to the environmental monitoring sensor in the pollution spreading area, a corresponding environmental monitoring value curve is generated according to a distance relation with the second location, and specifically includes:
determining the environment monitoring sensor corresponding to the intersection of the pollution spread areas as a mixed environment monitoring sensor when a plurality of second positions exist;
determining an environment monitoring value occupation ratio corresponding to each second position according to the distance between the mixed environment monitoring sensor and each corresponding second position, so as to divide the environment monitoring value corresponding to the mixed environment monitoring sensor; the ratio of the environmental monitoring value is inversely proportional to the distance relation;
And generating a corresponding environment monitoring value curve according to the environment monitoring value and the environment monitoring value after being divided and the distance relation between the environment monitoring sensor and the second position.
On the other hand, the embodiment of the application also provides a building operation environment monitoring device based on the platform of the internet of things, wherein the device comprises:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring environment monitoring information acquired by a plurality of environment monitoring sensors; the environment monitoring sensors are regularly arranged in a preset building operation area according to a preset rule; the preset rules comprise arrangement rules of the environment monitoring sensors;
generating an environment monitoring sampling point map corresponding to the building operation area according to the environment monitoring information; the environment monitoring sampling point map at least comprises a first position of the environment monitoring sensor;
Generating a plurality of corresponding environment monitoring sensor sequences based on the environment monitoring sampling point map and the environment monitoring information; the environmental monitoring sensor sequence includes at least one of the environmental monitoring sensors or a plurality of adjacent environmental monitoring sensors;
determining a second position of a building operation environmental pollution source based on the first position, each environmental monitoring sensor sequence and a pre-trained position identification model;
determining a pollution intensity value of the building operation environment pollution source according to the second position, the first position sequence corresponding to each environment monitoring sensor sequence and the environment monitoring information;
and generating monitoring information corresponding to the construction operation environment pollution source based on the pollution intensity value and the environment monitoring sensor sequence so as to correct the preset rule and/or perform current alarm on the construction operation environment pollution source.
According to the method and the device, the environment of the building operation area can be monitored, the position of the environmental pollution source of the building operation is predicted, the pollution intensity value is calculated, and then the environmental monitoring sensor in the building operation area is subjected to position correction, and pollution alarm is carried out. Through the mode of thing networking, carry out construction operation environment control in a flexible and intelligent way, need not the high-cost equipment of reforming transform, also need not rely on frequent manual patrol to carry out construction operation environment control, improved the user and experienced construction operation environment supervisory equipment's use. The method solves the problems that the existing building operation environment monitoring mode is not intelligent and flexible enough and influences the use experience of a user in using the building operation environment monitoring equipment.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a schematic flow chart of a building operation environment monitoring method based on an internet of things platform in an embodiment of the application;
fig. 2 is another flow chart of a building operation environment monitoring method based on an internet of things platform in an embodiment of the present application;
fig. 3 is a schematic structural diagram of a building operation environment monitoring device based on an internet of things platform in an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The embodiment of the application provides a building operation environment monitoring method and device based on an Internet of things platform, which are used for solving the technical problems that the existing building operation environment monitoring mode is not intelligent and flexible enough and the use experience of a user in using building operation environment monitoring equipment is affected.
Various embodiments of the present application are described in detail below with reference to the accompanying drawings.
The embodiment of the application provides a building operation environment monitoring method based on an Internet of things platform, which is applied to a building operation environment monitoring system, wherein the building operation environment monitoring system can comprise one or more servers, a plurality of environment monitoring sensors, a user terminal and the like. As shown in fig. 1, the method may include steps S101-S106:
s101, a server acquires environment monitoring information acquired by a plurality of environment monitoring sensors.
The environment monitoring sensors are regularly arranged in a preset building operation area according to a preset rule. The preset rules include an arrangement rule of the environmental monitoring sensors.
It should be noted that, the server is merely an exemplary implementation subject of the building operation environment monitoring method based on the internet of things platform, and the implementation subject is not limited to the server, and the application is not limited thereto specifically.
The environment monitoring sensor comprises, but is not limited to, a soil temperature sensor, an air temperature and humidity sensor, an evaporation sensor, a rainfall sensor, an illumination sensor and a wind speed and direction sensor, and is specifically set by constructors in the actual use process, and the application is not particularly limited to the above. The environmental monitoring sensors are arranged in the building operation area regularly according to a preset rule in advance, for example, the environmental monitoring sensors are arranged at intervals of 20 meters at the boundary of the building operation area. Specific preset rules can be set by the user, and the preset rules can be corrected in actual use, for example, the position of a certain environment monitoring sensor is adjusted from A to B.
The environmental monitoring information may include an environmental value curve acquired in real time by the environmental monitoring sensor, an identification of the environmental monitoring sensor, and relative coordinates, such as (a, b), of the setting of the environmental monitoring sensor in the construction work area, and may be specifically obtained by a user according to a coordinate system established in the construction work area.
S102, the server generates an environment monitoring sampling point map corresponding to the building operation area according to the environment monitoring information.
The environment monitoring sampling point map at least comprises a first position of an environment monitoring sensor.
The server may store or build a map of the building work area in advance, and mark the relative coordinate position in the map according to the relative coordinates of each environment monitoring sensor in the environment monitoring information, and record the relative coordinate position as the first position of the environment monitoring sensor.
The position of the environment monitoring sensor is recorded and displayed through the environment monitoring sampling point map, so that the building operation environment is monitored more intuitively.
S103, the server generates a plurality of corresponding environment monitoring sensor sequences based on the environment monitoring sampling point map and the environment monitoring information.
The environmental monitoring sensor sequence includes at least one environmental monitoring sensor or a plurality of adjacent environmental monitoring sensors.
In this embodiment of the present application, based on an environment monitoring sampling point map and environment monitoring information, a plurality of corresponding environment monitoring sensor sequences are generated, as shown in fig. 2, and specifically include the following steps:
s201, the server determines environment monitoring values corresponding to the environment monitoring sensors according to the environment monitoring information.
Specifically, the server determines an environmental value curve within a second preset time in each environmental monitoring information. And determining the coordinates of the mutation points existing in each environment value curve, and determining the first environment value corresponding to the coordinates of the mutation points. The slope value of the mutation point coordinate corresponding to the left neighborhood range is larger than a preset threshold value. And determining the corresponding environment monitoring value of the corresponding environment monitoring sensor according to the weighted average value of the first environment values in the same environment value curve.
The second preset time is preset by the user, and may be a certain period of time before the current time point, for example, one hour or 24 hours before the current time point, etc. The specific value of the second preset time is not specifically limited in this application. The environment value curve is a curve generated along time sequence of environment values in the environment monitoring information acquired by the environment monitoring sensor in a second preset time. The server can calculate the mutation point coordinate, wherein the mutation point coordinate refers to the sudden change of the environment value compared with the environment value at the previous moment, and the instantaneous change degree is higher than a preset value preset by a certain user, namely the left neighborhood slope value is larger than a preset threshold value. The left neighborhood range may be set by the user, for example, 1 second in the left neighborhood, and the preset threshold is set by the user, which is not specifically limited in this application. And the server takes the ordinate value corresponding to the mutation point coordinate as a first environment value, and performs weighted calculation on each first environment value in the same environment value curve to obtain an environment monitoring value.
The method for determining the environment monitoring value corresponding to the corresponding environment monitoring sensor according to the weighted average value of the first environment values in the same environment value curve specifically comprises the following steps:
And the server normalizes each first environment value to obtain a relative environment value. And combining the relative environment values of which the abscissa distance difference is smaller than the preset difference and in the same preset time period to obtain a second environment value. And matching the environmental value weights in the preset weight list according to the preset time periods corresponding to the environmental value curves of the second environmental values. And the corresponding relation exists between each environment value weight in the weight list and the preset time period. The environmental severity is different for each preset time period. And determining a weighted average value of each second environmental value in the same environmental value curve as the environmental monitoring value of the corresponding environmental monitoring sensor according to the matched weight of each environmental value and the second environmental value.
The normalization processing for each first environment value refers to limiting each first environment value to be in a range of 0-1, so that calculation processing is convenient. The server takes the normalized first environment values as relative environment values, then the difference value of the horizontal coordinate distance is smaller than the preset difference value preset by the user, and the relative environment values in the same preset time period are combined. The preset time period is a time period preset by a user, for example, a time period t1-t2 and a time period t2-t3, the environmental severity corresponding to each time period is different, for example, the environmental severity of 7 points-8 points is 1, the environmental severity of 8 points-9 points is 2, then the same preset time period is set at 7 points-8 points, and the same preset time period is set at 8 points-9 points. The merging may be performed by averaging, so as to obtain second environmental values of a plurality of preset time periods. Then, the server may obtain a preset weight list from the database, and match preset environment value weights corresponding to each preset time period. Calculating the product value of each second environmental value and the environmental value weight matched with the second environmental value, summing the product values corresponding to the same environmental value curve, dividing the sum value by the number of the second environmental values to obtain a weighted average value of each second environmental value in the same environmental value curve, and taking the weighted average value as an environmental monitoring value.
Through the technical scheme, the environment monitoring values of the environment monitoring sensors can be accurately obtained, so that the environment monitoring sensors can accurately monitor the construction operation environment.
S202, the server takes the first position of each environment monitoring sensor meeting preset conditions in the environment monitoring sampling point map as an initial clustering position.
The preset condition is that a preset number of environment monitoring sensors exist in a preset distance range of the first position, and the environment monitoring sensors collect environment monitoring information in a first preset time.
The environmental monitoring information corresponding to the environmental pollution source of the same building operation can be collected by a plurality of environmental monitoring sensors, the preset distance range can be set by a user, and if the number of the environmental monitoring sensors in the preset distance range of the environmental monitoring sensor for collecting the environmental monitoring information is larger than the preset number set by the user, the first position of the environmental monitoring sensor is used as an initial clustering position. The first preset time is set by a user and used for limiting the environment monitoring information acquired by the environment monitoring sensor to come from the same building operation environment pollution source.
S203, the server determines the first position of each environment monitoring sensor meeting the density connection relation with the initial clustering position as the related clustering position based on the initial clustering position, the environment monitoring value and a preset density-based clustering algorithm DBSCAN.
In the embodiment of the application, the server can perform clustering operation through a Density-based clustering algorithm (Density-Based Spatial Clustering of Applications with Noise, DBSCAN) to obtain related clustering positions with initial clustering position Density connected.
Specifically, the server may traverse a plurality of environmental monitoring sensors that collect environmental monitoring information corresponding to environmental pollution sources of the same building operation, randomly select one environmental monitoring sensor from the plurality of environmental monitoring sensors, determine a plurality of environmental monitoring sensors with reachable densities of the environmental monitoring sensors, generate a cluster, and reject each environmental monitoring sensor in the cluster. And then, selecting one environment monitoring sensor from the rest environment monitoring sensors, and repeatedly generating a cluster. And the first position of the environment monitoring sensor which is in the same cluster with the environment monitoring sensor of the initial cluster position is used as the related cluster position.
S204, the server sequentially adds the initial clustering position and each environment monitoring sensor corresponding to each corresponding related clustering position to the environment monitoring sensor sequence according to the first position.
The server may add each environmental monitoring sensor to the environmental monitoring sensor sequence according to the order of the first location in the environmental monitoring sampling point map, for example, from the left to the right of the environmental monitoring sampling point map, from top to bottom, and sequentially add each initial cluster location and each environmental monitoring sensor corresponding to each corresponding relevant cluster location to the environmental monitoring sensor sequence. The order in which the environment monitoring sensor sequences are generated in the first position may be set by the user according to actual use, which is not particularly limited in this application.
S104, the server determines a second position of the environmental pollution source of the construction operation based on the first position, each environment monitoring sensor sequence and a pre-trained position identification model.
In an embodiment of the present application, determining, based on the first location, each environmental monitoring sensor sequence, and a pre-trained location identification model, a second location of a building operation environmental pollution source specifically includes:
First, the server obtains a number of environmental monitoring sensor sequence samples. The environmental monitoring sensor sequence sample comprises first positions, position arrangement densities and corresponding environmental monitoring values of the environmental monitoring sensors under a plurality of different building operation environmental pollution sources.
The environmental monitoring sensor sequence samples may be crawled over the internet or manually set and stored in a database, as not specifically limited in this application.
And then, the server takes the environmental monitoring sensor sequence samples which are of the first designated number and correspond to the same building operation environmental pollution source as training samples, sequentially inputs the position identification model for training until the training times reach the preset training times, and determines the second position of the building operation environmental pollution source.
The preset training times may be specified by a user, which is not specifically limited in this application, and the location recognition model may be a neural network model.
And then, the server takes the environmental monitoring sensor sequence sample of the second appointed data as a verification sample, and inputs a position recognition model after the training times reach the preset training times so as to determine the model accuracy of the position recognition model.
And under the condition that the model accuracy is greater than the accuracy threshold, obtaining a trained position recognition model, otherwise, continuing training the position recognition model until the model accuracy is greater than the accuracy threshold.
And finally, the server inputs the first position and each environment monitoring sensor sequence into a trained position identification model, and determines a second position corresponding to the environmental pollution source of the building operation.
That is, the server can train the position recognition model first, then verify the accuracy of the position recognition model, and ensure that the position recognition model can be used normally, so that the specific position of the pollution source of the construction operation environment can be accurately recognized, the position reference of the pollution source of the construction operation environment to be treated can be provided for a user, and the construction operation environment can be monitored conveniently.
In this embodiment of the present application, the server inputs the first location and each environmental monitoring sensor sequence into a trained location recognition model, and determines a second location corresponding to a pollution source of a construction operation environment, and specifically includes:
and the server determines the corresponding relation between the first position and the environment monitoring value through the position identification model. When the environment monitoring sensor sequence comprises an environment monitoring sensor, the environment monitoring sensor is taken as a center, a preset distance corresponding to an environment monitoring value is taken as a radius, and a pollution source first prediction area is generated so as to select at least one second position in the pollution source first prediction area. The environmental monitoring value is inversely related to the preset distance.
When the environment monitoring sensor sequence comprises more than two environment monitoring sensors, the environment monitoring sensor with the largest environment monitoring value is taken as a center, a preset distance corresponding to the environment monitoring value is taken as a radius, a pollution source second prediction area is generated, other environment monitoring sensors are taken as centers, a preset distance corresponding to the corresponding environment monitoring value is taken as a radius, a pollution source third prediction area is generated, and a second position is determined according to the intersection of the pollution source second prediction area and the pollution source third prediction area.
The correspondence between the first location and the environment monitoring value means that the first location can correspond to the environment monitoring value, for example, the first location a, the environment monitoring value X, the correspondence may be (a, X), that is, the first location a corresponds to the environment monitoring value X.
Only one environment monitoring sensor is arranged in the environment monitoring sensor sequence, and the server can predict the first prediction area of the pollution source through the scheme and select a position with the highest possibility of generating the pollution source as a second position.
The environment monitoring sensors are arranged in the environment monitoring sensor sequence, the server can generate a second prediction area of the pollution source and a third prediction area of the pollution source through the environment monitoring sensors, and the intersection is obtained, so that the second position of the pollution source of the building operation environment can be predicted more accurately.
S105, the server determines the pollution intensity value of the environmental pollution source of the construction operation according to the second position, the first position sequence corresponding to each environmental monitoring sensor sequence and the environmental monitoring information.
In this embodiment of the present application, determining, according to the second location, the first location sequence corresponding to each environmental monitoring sensor sequence, and the environmental monitoring information, a pollution intensity value of a pollution source of an environmental environment in a construction operation specifically includes:
the server generates a first position sequence according to the distance between each first position and each second position. And determining a position weight vector corresponding to the first position sequence according to a position weight list pre-stored in a database. And determining the pollution intensity value of the environmental pollution source of the building operation based on the position weight vector and the dot multiplication result of the environmental monitoring value vector corresponding to the environmental monitoring information.
In other words, the server may calculate a distance between the first location of each environmental monitoring sensor and the resulting second location to generate a first sequence of locations corresponding to each construction work environmental pollution source. Then, the user may store in advance a location weight list in the database, where the location weight list includes a location weight inversely related to the distance, where the location weight may be understood as the reliability of the environmental monitoring information collected by the environmental monitoring sensor, the closer to the second location, the higher the reliability, the farther from the second location, the lower the reliability, and the lower the location weight. The server can calculate the dot product of the position weight vector and the environment monitoring value vector, and the dot product result is in the number of environment monitoring sensors in the environment monitoring sensor sequence to obtain the pollution intensity value of the environmental pollution source in the construction operation.
S106, the server generates monitoring information corresponding to the construction operation environment pollution source based on the pollution intensity value and the environment monitoring sensor sequence so as to correct a preset rule and/or perform current warning on the construction operation environment pollution source.
The alarm can be alarm information sent to a user terminal, such as a user mobile phone, a computer and the like.
In the embodiment of the application, based on the pollution intensity value and the environment monitoring sensor sequence, the monitoring information corresponding to the construction operation environment pollution source is generated, and specifically includes:
the server takes the second position as a center, and the maximum value of the distance between the first position and the second position in the environment monitoring sensor sequence is taken as a radius, so that a pollution spreading area is generated. And generating a corresponding environment monitoring value curve according to the environment monitoring value corresponding to the environment monitoring sensor in the pollution spreading area and the distance relation between the environment monitoring value and the second position. The abscissa of the environment monitoring value curve is the distance between the first position and the second position, and the ordinate is the environment monitoring value. And under the condition that the environment monitoring value curve does not meet the decreasing curve, determining the first position of the environment monitoring sensor corresponding to the abscissa of the corresponding mutation point as the first position to be corrected. And adding the pollution spreading area and the first position to be corrected to the monitoring information according to the alarm level corresponding to the pollution intensity value.
That is, the server can generate a curve of the distance between the second location and each of the environmental monitoring sensors and the environmental monitoring value as the environmental monitoring value curve. The decreasing curve refers to that the environmental monitoring values decrease sequentially along with the increase of the distance, if there is a sudden change point (the ordinate value increases suddenly, so that the environmental monitoring value curve does not meet the decreasing relation, or the slope of the left neighborhood of the position of the sudden change point is larger than the slope value used for setting), a first position corresponding to the abscissa of the sudden change point is determined, and the environmental monitoring sensor at the first position is used as a sensor to be corrected in position, and the position is the first position to be corrected.
The position correction may be performed by the user, and specifically, the server may calculate, from the environment monitor value curve, a position to which the first position to be corrected needs to be moved in a case where the environment monitor value curve satisfies the decreasing curve. The server provides the position to be moved for the user, so that the user can adjust the position of the environment monitoring sensor, the environment monitoring sensor can monitor the construction operation environment better, and the use experience of the user on the construction operation environment monitoring system is improved.
The user can set a plurality of alarm levels, for example, the first-level, second-level and third-level … … different alarm levels correspond to different pollution intensity value intervals, and when the pollution intensity value is in the pollution intensity value interval of the alarm level N level, the pollution intensity value is determined to be the alarm level N. In addition, different alarm levels can be corresponding to different alarm modes, such as sending out a reminding short message, sending out an emergency processing short message, and the like, and specific alarm modes can be set by a user, which is not particularly limited in the application.
In this embodiment of the present application, the generating, according to the environmental monitoring value corresponding to the environmental monitoring sensor in the pollution spreading area and the distance relation between the environmental monitoring value and the second location, a corresponding environmental monitoring value curve specifically includes:
and in the case that a plurality of second positions exist, determining an environment monitoring sensor corresponding to the intersection of the pollution spread areas as a mixed environment monitoring sensor. And determining the ratio of the environmental monitoring value corresponding to each second position according to the distance between the mixed environmental monitoring sensor and each corresponding second position so as to divide the environmental monitoring value corresponding to the mixed environmental monitoring sensor. The environmental monitoring value is inversely proportional to the distance relationship. And generating a corresponding environment monitoring value curve according to the environment monitoring value and the environment monitoring value after being divided and the distance relation between the environment monitoring sensor and the second position.
That is, during actual monitoring, there may be multiple sources of environmental pollution, i.e., multiple second locations, for the same time. The environmental monitoring sensors in the intersections of the pollution spread areas can collect environmental monitoring information of a plurality of environmental pollution sources of the building operation at the same time, and the environmental monitoring sensors are used as mixed environmental monitoring sensors. According to the method, the environment monitoring value occupation ratio can be determined according to the distance between the second positions of the mixed environment monitoring sensor, the environment monitoring value occupation ratio and the distance are in inverse proportion relation, for example, the distance between the mixed environment monitoring sensor and the first building operation environment pollution source is L, the distance between the mixed environment monitoring sensor and the second building operation environment pollution source is 2L, then the first building operation environment pollution source environment monitoring value occupation ratio is two thirds, and the second building operation environment pollution source environment monitoring value occupation ratio is one third. The server can take the product value of the environmental monitoring value and the corresponding environmental monitoring value ratio as the environmental monitoring value of the environmental pollution source of the split building operation. For example, the environmental monitoring value x two thirds, is the environmental monitoring value of the environmental pollution source of the first construction operation. The generation manner of the environment monitoring value curve of each construction operation environment pollution source is described in the above embodiments, and is not described herein.
According to the method and the device, the environment of the building operation area can be monitored, the position of the environmental pollution source of the building operation is predicted, the pollution intensity value is calculated, and then the environmental monitoring sensor in the building operation area is subjected to position correction, and pollution alarm is carried out. Through the mode of thing networking, carry out construction operation environment control in a flexible and intelligent way, need not the high-cost equipment of reforming transform, also need not rely on frequent manual patrol to carry out construction operation environment control, improved the user and experienced construction operation environment supervisory equipment's use. The method solves the problems that the existing building operation environment monitoring mode is not intelligent and flexible enough and influences the use experience of a user in using the building operation environment monitoring equipment.
Fig. 3 is a schematic structural diagram of a building operation environment monitoring device based on an internet of things platform according to an embodiment of the present application, where, as shown in fig. 3, the device includes:
at least one processor; and a memory communicatively coupled to the at least one processor. Wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to:
Environmental monitoring information acquired by a plurality of environmental monitoring sensors is acquired. The environment monitoring sensors are regularly arranged in a preset building operation area according to a preset rule. The preset rules include an arrangement rule of the environmental monitoring sensors. And generating an environment monitoring sampling point map corresponding to the building operation area according to the environment monitoring information. The environment monitoring sampling point map includes at least a first location of an environment monitoring sensor. Based on the environment monitoring sampling point map and the environment monitoring information, a plurality of corresponding environment monitoring sensor sequences are generated. The environmental monitoring sensor sequence includes at least one environmental monitoring sensor or a plurality of adjacent environmental monitoring sensors. A second location of a building operation environmental pollution source is determined based on the first location, each environmental monitoring sensor sequence, and a pre-trained location identification model. And determining the pollution intensity value of the environmental pollution source of the construction operation according to the second position, the first position sequences corresponding to the environment monitoring sensor sequences and the environment monitoring information. Based on the pollution intensity value and the environment monitoring sensor sequence, monitoring information corresponding to the environmental pollution source of the building operation is generated so as to correct a preset rule and/or perform current alarm on the environmental pollution source of the building operation.
All embodiments in the application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred, so that each embodiment mainly describes differences from other embodiments. In particular, for the apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.
The devices and the methods provided in the embodiments of the present application are in one-to-one correspondence, so that the devices also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices are not described here again.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (8)
1. The building operation environment monitoring method based on the Internet of things platform is characterized by being applied to a building operation environment monitoring system; the method comprises the following steps:
acquiring environment monitoring information acquired by a plurality of environment monitoring sensors; the environment monitoring sensors are regularly arranged in a preset building operation area according to a preset rule; the preset rules comprise arrangement rules of the environment monitoring sensors;
generating an environment monitoring sampling point map corresponding to the building operation area according to the environment monitoring information; the environment monitoring sampling point map at least comprises a first position of the environment monitoring sensor;
generating a plurality of corresponding environment monitoring sensor sequences based on the environment monitoring sampling point map and the environment monitoring information; the environmental monitoring sensor sequence includes at least one of the environmental monitoring sensors or a plurality of adjacent environmental monitoring sensors;
Determining a second position of a building operation environmental pollution source based on the first position, each environmental monitoring sensor sequence and a pre-trained position identification model;
determining a pollution intensity value of the building operation environment pollution source according to the second position, the first position sequence corresponding to each environment monitoring sensor sequence and the environment monitoring information;
based on the pollution intensity value and the environment monitoring sensor sequence, monitoring information corresponding to the construction operation environment pollution source is generated so as to correct the preset rule and/or perform current alarm on the construction operation environment pollution source;
based on the environment monitoring sampling point map and the environment monitoring information, generating a plurality of corresponding environment monitoring sensor sequences specifically includes:
determining an environment monitoring value corresponding to each environment monitoring sensor according to the environment monitoring information;
taking the first position of each environment monitoring sensor meeting preset conditions in the environment monitoring sampling point map as an initial clustering position; the preset condition is that a preset number of environment monitoring sensors exist in a preset distance range of the first position, and the preset number of environment monitoring sensors acquire the environment monitoring information in a first preset time;
Determining the first position of each environment monitoring sensor meeting the density connection relation with the initial clustering position as a related clustering position based on the initial clustering position, the environment monitoring value and a preset density-based clustering algorithm DBSCAN;
according to the first position, the initial clustering position and the corresponding environment monitoring sensors corresponding to the relevant clustering positions are sequentially added to the environment monitoring sensor sequence;
according to the environmental monitoring information, determining an environmental monitoring value corresponding to each environmental monitoring sensor, which specifically includes:
determining an environment value curve in a second preset time in each environment monitoring message;
determining the coordinates of the mutation points existing in each environment value curve, and determining a first environment value corresponding to the coordinates of the mutation points; the slope value of the mutation point coordinate corresponding to the left neighborhood range is larger than a preset threshold value;
and determining the corresponding environment monitoring value of the environment monitoring sensor according to the weighted average value of the first environment values in the same environment value curve.
2. The method for monitoring the environment of a building operation based on the platform of the internet of things according to claim 1, wherein determining the environment monitoring value corresponding to the corresponding environment monitoring sensor according to the weighted average value of the first environment values in the same environment value curve specifically comprises:
Normalizing each first environment value to obtain a relative environment value;
combining the relative environment values of which the abscissa distance difference is smaller than the preset difference and in the same preset time period to obtain a second environment value;
matching the environmental value weights in a preset weight list according to the preset time period corresponding to each second environmental value in the environmental value curve; the corresponding relation exists between each environmental value weight in the weight list and a preset time period; the environmental severity of each preset time period is different;
and determining a weighted average value of the second environmental values in the same environmental value curve as the environmental monitoring value of the corresponding environmental monitoring sensor according to the matched environmental value weights and the second environmental values.
3. The method for monitoring the environment of building operations based on the platform of the internet of things according to claim 1, wherein determining the second location of the environmental pollution source of the building operations based on the first location, each environment monitoring sensor sequence and a pre-trained location identification model specifically comprises:
acquiring a plurality of environmental monitoring sensor sequence samples; the environmental monitoring sensor sequence sample comprises first positions, position arrangement densities and corresponding environmental monitoring values of the environmental monitoring sensors under a plurality of different building operation environmental pollution sources;
Sequentially inputting the environmental monitoring sensor sequence samples which are of a first designated number and correspond to the same building operation environmental pollution source as training samples into the position identification model for training until the training times reach preset training times, and determining a second position of the building operation environmental pollution source;
taking the environmental monitoring sensor sequence sample of the second appointed data as a verification sample, and inputting the position identification model after the training times reach the preset training times to determine the model accuracy of the position identification model;
obtaining the position recognition model after training is completed under the condition that the model accuracy is larger than an accuracy threshold, otherwise, continuing training the position recognition model until the model accuracy is larger than the accuracy threshold;
inputting the first position and each environment monitoring sensor sequence into the trained position identification model, and determining the second position corresponding to the building operation environment pollution source.
4. The building operation environment monitoring method based on the internet of things platform according to claim 3, wherein inputting the first location and each environment monitoring sensor sequence into the trained location identification model, and determining the second location corresponding to the building operation environment pollution source specifically comprises:
Determining the corresponding relation between the first position and the environment monitoring value through the position identification model;
when the environment monitoring sensor sequence comprises one environment monitoring sensor, taking the environment monitoring sensor as a center, taking a preset distance corresponding to the environment monitoring value as a radius, and generating a pollution source first prediction area so as to select at least one second position in the pollution source first prediction area; the environment monitoring value and the preset distance are in inverse proportion;
and when the environment monitoring sensor sequence comprises more than two environment monitoring sensors, taking the environment monitoring sensor with the largest environment monitoring value as a center, taking a preset distance corresponding to the environment monitoring value as a radius to generate a pollution source second prediction area, taking other environment monitoring sensors as the center, taking a preset distance corresponding to the corresponding environment monitoring value as a radius to generate a pollution source third prediction area, and determining the second position according to the intersection of the pollution source second prediction area and the pollution source third prediction area.
5. The method for monitoring the environment of the construction operation based on the platform of the internet of things according to claim 1, wherein determining the pollution intensity value of the pollution source of the environment of the construction operation according to the second location, the first location sequence corresponding to each environment monitoring sensor sequence and the environment monitoring information specifically comprises:
Generating the first position sequence according to the distance between each first position and the second position;
determining a position weight vector corresponding to the first position sequence according to a position weight list pre-stored in a database;
and determining the pollution intensity value of the building operation environment pollution source based on the position weight vector and the dot multiplication result of the environment monitoring value vector corresponding to the environment monitoring information.
6. The method for monitoring the construction operation environment based on the platform of the internet of things according to claim 1, wherein the generating of the monitoring information corresponding to the construction operation environment pollution source based on the pollution intensity value and the environment monitoring sensor sequence specifically comprises:
generating a pollution spreading area by taking the second position as a center and taking the maximum value of the distance between the first position and the second position in the environment monitoring sensor sequence as a radius;
generating a corresponding environment monitoring value curve according to the environment monitoring value corresponding to the environment monitoring sensor in the pollution spreading area and the distance relation between the environment monitoring value and the second position; the abscissa of the environment monitoring value curve is the distance between the first position and the second position, and the ordinate is the environment monitoring value;
Under the condition that the environment monitoring value curve does not meet the decreasing curve, determining the first position of the environment monitoring sensor corresponding to the abscissa of the corresponding mutation point as a first position to be corrected;
and adding the pollution spreading area and the first position to be corrected to the monitoring information according to the alarm level corresponding to the pollution intensity value.
7. The method for monitoring the environment of construction operation based on the platform of the internet of things according to claim 6, wherein the generating a corresponding environment monitoring value curve according to the environment monitoring value corresponding to the environment monitoring sensor in the pollution spread area and the distance relation with the second location specifically comprises:
determining the environment monitoring sensor corresponding to the intersection of the pollution spread areas as a mixed environment monitoring sensor when a plurality of second positions exist;
determining an environment monitoring value occupation ratio corresponding to each second position according to the distance between the mixed environment monitoring sensor and each corresponding second position, so as to divide the environment monitoring value corresponding to the mixed environment monitoring sensor; the ratio of the environmental monitoring value is inversely proportional to the distance relation;
And generating a corresponding environment monitoring value curve according to the environment monitoring value and the environment monitoring value after being divided and the distance relation between the environment monitoring sensor and the second position.
8. Building operation environment monitoring equipment based on thing networking platform, its characterized in that, equipment includes:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method of building operation environment monitoring based on an internet of things platform as claimed in any one of claims 1 to 7.
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