CN111314405B - Energy-saving monitoring method for glass curtain wall sensor, server and client - Google Patents
Energy-saving monitoring method for glass curtain wall sensor, server and client Download PDFInfo
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- CN111314405B CN111314405B CN201811523219.4A CN201811523219A CN111314405B CN 111314405 B CN111314405 B CN 111314405B CN 201811523219 A CN201811523219 A CN 201811523219A CN 111314405 B CN111314405 B CN 111314405B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/46—Cluster building
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
Abstract
A glass curtain wall sensor energy-saving monitoring method, a server side and a client side comprise the following steps: receiving and analyzing curtain wall sensing data, and acquiring curtain wall monitoring information, sensor sensitive information and sensing energy consumption information; initializing sensing clustering information according to the sensor sensitive information, and calculating sensing energy consumption information by preset logic to obtain clustering updating information; updating the sensing clustering information into real-time clustering information according to the clustering updating information; and sending sensing adjustment information to the client according to the curtain wall monitoring information, the real-time clustering information and the sensor sensitive information. The utility model solves the technical problems of sensor network splitting and single network sink node management mode caused by the fact that the sensor power of the sensor monitoring system in the prior art is easy to exhaust.
Description
Technical Field
The utility model relates to the technical field of glass curtain wall monitoring, in particular to an energy-saving monitoring method of a glass curtain wall sensor, a server side and a client side.
Background
With the development of building arts and material science, glass curtain walls have become the first choice of exterior wall decoration for modern urban buildings, especially high-rise buildings. At present, China becomes the first world country for producing and using glass curtain walls. However, with the increase of the service life, the hidden trouble of the glass curtain wall is gradually exposed. The curtain is intelligent that current market urgently needs, and the research is to the novel practical intelligent monitoring sensor system of glass curtain wall, especially sensor acquisition node for detect and monitor the glass curtain wall's in active service health condition and use fail safe nature, all have the significance to the development of guaranteeing people's the security of the lives and property and promoting the curtain trade. At present, most of glass curtain wall sensor monitoring systems collect data of various sensors, package and upload the data, and then analyze and process the data at a cloud end. However, the periods of data collection of various sensors and the composition of data packets are not distinguished due to different functions of the sensors. The glass curtain wall sensor monitoring area is generally large. Energy is an important impact factor limiting the performance of wireless sensor networks. Most of traditional sensing nodes are powered by batteries and only operate for a limited time, when some nodes consume energy, networks can be split, and data of some sensing areas cannot be taken out.
In summary, the sensor monitoring system in the prior art has the technical problem that the sensor power is easily exhausted, which results in the splitting of the sensor network and the single management mode of the network sink node.
Disclosure of Invention
In view of the defects of the prior art, the utility model aims to provide an energy-saving monitoring method, a server and a client for a glass curtain wall sensor, and aims to solve the technical problems that the sensor network is split and the management mode of a network sink node is single due to the fact that the electric quantity of the sensor is easily exhausted in the prior art, the utility model provides the energy-saving monitoring method, the server and the client for the glass curtain wall sensor, and the energy-saving monitoring method for the glass curtain wall sensor specifically comprises the following steps: receiving and analyzing curtain wall sensing data, and acquiring curtain wall monitoring information, sensor sensitive information and sensing energy consumption information; initializing sensing clustering information according to the sensor sensitive information, and calculating sensing energy consumption information by preset logic to obtain clustering updating information; updating the sensing clustering information into real-time clustering information according to the clustering updating information; extracting monitoring data in the curtain wall monitoring information; acquiring high-sensitive nodes and low-sensitive nodes in the cluster according to the real-time clustering information and the sensor sensitive information; judging whether the curtain wall is abnormal or not according to the monitoring data; if not, improving the acquisition frequency and the transmission priority of the high-sensitivity node, and reducing the acquisition frequency of the low-sensitivity node; if so, acquiring a data abnormal node, and improving the acquisition frequency and the transmission priority of the data abnormal node; and sending the adjusted acquisition frequency and the transmission priority to a client.
In an embodiment of the present invention, initializing sensing clustering information according to sensor sensitive information, and calculating sensing energy consumption information by using preset logic to obtain clustering update information, further includes: acquiring high-sensitivity sensing information according to the sensitive information of the sensor; according to the high-sensitivity sensing information, a node cluster is initialized, and the node cluster comprises a cluster head node and an intra-cluster node; calculating the sensing energy consumption by preset logic to obtain cluster head energy consumption and cluster internal energy consumption; and calculating clustering updating information according to the energy consumption of the cluster head and the energy consumption in the cluster.
In an embodiment of the present invention, updating the sensing clustering information into real-time clustering information according to the clustering update information includes: extracting an updating parameter in the clustering updating information; acquiring a preset energy consumption threshold; judging whether the updating parameters are not larger than an energy consumption threshold value; if yes, maintaining the current sensing clustering information; if not, the sensing clustering information is circularly traversed and updated to be real-time clustering information.
In an embodiment of the present invention, an energy saving monitoring server for a glass curtain wall sensor includes: the system comprises a sensing data receiving module, a clustering setting module, a clustering updating module and a sensing adjusting module; the sensing data receiving module is used for receiving and analyzing the curtain wall sensing data to acquire curtain wall monitoring information, sensor sensitive information and sensing energy consumption information; the clustering setting module is used for initially sensing clustering information according to the sensor sensitive information and calculating sensing energy consumption information clustering update information according to preset logic, and the clustering setting module is connected with the sensing data module; the clustering updating module is used for updating the sensing clustering information into real-time clustering information according to the clustering updating information, and is connected with the clustering setting module; a sensing adjustment module comprising: the system comprises a monitoring data extraction module, a sensitive node module, an abnormality judgment module, a non-abnormality module, an abnormality regulation module and a regulation information sending module; the monitoring data extraction module is used for extracting monitoring data in the curtain wall monitoring information; the sensitive node module is used for acquiring high-sensitive nodes and low-sensitive nodes in the cluster according to the real-time clustering information and the sensor sensitive information; the abnormity judging module is used for judging whether the curtain wall is abnormal or not according to the monitoring data; the non-abnormal module is used for improving the acquisition frequency and the transmission priority of the high-sensitivity node and reducing the acquisition frequency of the low-sensitivity node when the curtain wall is not abnormal; the abnormal adjustment module is used for acquiring a data abnormal node when the curtain wall is abnormal, and improving the acquisition frequency and the transmission priority of the data abnormal node; and the adjustment information sending module is used for sending the adjusted acquisition frequency and the adjusted transmission priority to a client.
In an embodiment of the present invention, the clustering module includes: the cluster head updating system comprises a high-sensitivity information module, a cluster initial module, a cluster head intra-cluster calculation module and an information updating module; the high-sensitivity information module is used for acquiring high-sensitivity sensing information according to the sensor sensitive information; the cluster initial module is used for initializing a node cluster according to the high-sensitivity sensing information, the node cluster comprises a cluster head node and an intra-cluster node, and the cluster initial module is connected with the high-sensitivity information module; the cluster head in-cluster computing module is used for computing the sensing energy consumption according to preset logic to obtain cluster head energy consumption and cluster in-cluster energy consumption, and is connected with the cluster initial module; and the update information module is used for calculating clustering update information according to the energy consumption of the cluster heads and the energy consumption in the clusters, and is connected with the cluster head in-cluster calculation module.
In an embodiment of the present invention, the cluster update module includes: the device comprises a parameter extraction module, a threshold module, an update parameter judgment module, a maintenance module and a cyclic update module; the parameter extraction module is used for extracting the updating parameters in the clustering updating information; the threshold module is used for acquiring a preset energy consumption threshold; the updating parameter judging module is used for judging whether the updating parameter is not larger than the energy consumption threshold value or not, the updating parameter judging module is connected with the parameter extracting module, and the updating parameter judging module is connected with the threshold value module; the maintaining module is used for maintaining the current sensing clustering information when the updating parameter is not greater than the energy consumption threshold value, and is connected with the updating parameter judging module; and the cyclic updating module is used for circularly traversing and updating the sensing clustering information into real-time clustering information when the updating parameter is larger than the energy consumption threshold value, and is connected with the updating parameter judging module.
In an embodiment of the present invention, a method for implementing an energy-saving monitoring operation and maintenance client of a glass curtain wall sensor includes: collecting curtain wall sensing data by a sensing device; sending the curtain wall sensing data to a server; receiving the acquisition frequency and the transmission priority from the server; and adjusting the working state of the sensing device according to the acquisition frequency and the transmission priority.
In an embodiment of the present invention, an energy saving monitoring client for a glass curtain wall sensor includes: the device comprises a sensing acquisition module, a sensing data sending module, an adjusting information receiving module and a sensor adjusting module; the sensing acquisition module is used for acquiring curtain wall sensing data by using the sensing device; the sensing data sending module is used for sending the curtain wall sensing data to the server side and is connected with the sensing acquisition module; the system comprises an adjustment information receiving module, a sensor adjusting module and an adjustment extracting module, wherein the adjustment information receiving module is used for receiving the acquisition frequency and the transmission priority from the server, the sensor adjusting module is used for adjusting the working state of the sensing device according to the acquisition frequency and the transmission priority, and the sensor adjusting module is connected with the adjustment extracting module.
As described above, the energy-saving monitoring method for the glass curtain wall sensor, the server and the client provided by the utility model have the following beneficial effects: the energy-saving monitoring method, the server and the client of the glass curtain wall sensor provided by the utility model avoid the technical problems of sensor network splitting and single network sink node management mode caused by the fact that the electric quantity of the sensor is easy to exhaust in the prior art. The utility model discloses an energy-saving monitoring method for a glass curtain wall sensor, a server side and a client side.
In conclusion, the utility model solves the technical problems of sensor network splitting and single network sink node management mode caused by the fact that the electric quantity of the sensor is easy to exhaust in the prior art.
Drawings
FIG. 1 shows a schematic step diagram of the energy-saving monitoring method of the glass curtain wall sensor of the utility model.
Fig. 2 is a flowchart illustrating step S2 in fig. 1 in an embodiment.
Fig. 3 is a flowchart illustrating step S3 in fig. 1 in an embodiment.
Fig. 4 is a flowchart illustrating step S4 in fig. 1 in an embodiment.
FIG. 5 is a schematic view of an energy-saving monitoring server module of the glass curtain wall sensor according to the present invention.
Fig. 6 is a block diagram of the cluster setting module shown in fig. 5 according to an embodiment.
Fig. 7 is a block diagram of a specific embodiment of the cluster update block shown in fig. 5.
FIG. 8 is a block diagram of an embodiment of the sensing module of FIG. 5.
Fig. 9 is a schematic step diagram of an implementation method of the energy-saving monitoring client of the glass curtain wall sensor according to the present invention.
Fig. 10 is a schematic view of an energy-saving monitoring client module of the glass curtain wall sensor according to the utility model.
Description of the element reference numerals
Energy-saving monitoring server side of glass curtain wall sensor
11 sensing data receiving module
12 clustering setting module
13 clustering update module
14 sensing and adjusting module
121 high-sensitivity information module
122 cluster initialization module
123 cluster head intra-cluster calculation module
124 update information module
131 parameter extraction module
132 threshold module
133 updating parameter judging module
134 maintenance module
135 cycle update module
141 monitoring data extraction module
142 sensitive node module
143 abnormity judging module
144 non-exception module
145 anomaly adjustment module
146 adjustment information sending module
Energy-saving monitoring client of 1' glass curtain wall sensor
11' sensing acquisition module
12' sensing data sending module
13' adjustment information receiving module
14' Regulation extraction Module
15' sensor adjustment module
Description of step designations
FIGS. 1S 1-S4
FIGS. 2S 21-S24
FIGS. 3S 31-S35
FIGS. 4S 41-S46
FIGS. 7S 1 'to S5'
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Referring to fig. 1 to 10, it should be understood that the structures shown in the drawings are only used for understanding and reading the present disclosure, and are not used to limit the conditions of the present invention, which can be implemented, so that the present invention has no technical significance, and any structural modification, ratio change or size adjustment should still fall within the scope of the present invention without affecting the function and the achievable object of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
Referring to fig. 1, a schematic step diagram of an energy-saving monitoring method for a glass curtain wall sensor according to the present invention is shown, and as shown in fig. 1, the energy-saving monitoring method for a glass curtain wall sensor specifically includes:
s1, receiving and analyzing curtain wall sensing data, and acquiring curtain wall monitoring information, sensor sensitive information and sensing energy consumption information, wherein optionally, the sensing data comprises elevation sensing data, displacement sensing data, temperature and pressure sensing data and the like, and the curtain wall monitoring information can be obtained by adopting preset threshold screening and classification;
s2, initializing sensing clustering information according to the sensor sensitive information, and calculating sensing energy consumption information by preset logic to obtain clustering update information, wherein a large number of sensor nodes and a small number of sink nodes are distributed, the nodes are converged into a node cluster, the sensor collects relevant data information, and finally transmits the data to the sink nodes through one-hop or multi-hop transmission;
s3, updating the sensing clustering information into real-time clustering information according to the clustering updating information, wherein the wireless sensor network usually comprises a base station and a plurality of randomly distributed sensing nodes;
s4, including: extracting monitoring data in the curtain wall monitoring information; acquiring high-sensitive nodes and low-sensitive nodes in the cluster according to the real-time clustering information and the sensor sensitive information; judging whether the curtain wall is abnormal or not according to the monitoring data; if not, the acquisition frequency and the transmission priority of the high-sensitivity nodes are improved, and the acquisition frequency of the low-sensitivity nodes is reduced; if so, acquiring the data abnormal node, and improving the acquisition frequency and the transmission priority of the data abnormal node; and sending the adjusted acquisition frequency and the transmission priority to the client.
Referring to fig. 2, which is a detailed flowchart of step S2 in fig. 1 in an embodiment, as shown in fig. 2, step S2 is executed to initialize sensing clustering information according to sensor sensitivity information, calculate sensing energy consumption information by preset logic to obtain clustering update information, and further includes:
s21, acquiring high-sensitivity sensing information according to the sensor sensitivity information, optionally, presetting sensor sensitivity thresholds aiming at different types of sensors, judging which sensors belong to high-sensitivity wiping and mixing sensors by adopting the sensor sensitivity thresholds, and further acquiring high-sensitivity aggregation network transmission nodes;
s22, initializing a node cluster according to the high-sensitivity sensing information, wherein the node cluster comprises a cluster head node and an intra-cluster node, and optionally, the high-sensitivity node can be randomly selected as the cluster head node;
s23, calculating sensing energy consumption by using preset logic to obtain cluster head energy consumption and in-cluster energy consumption, where the cluster head energy consumption and in-cluster energy consumption are mainly energy consumption generated when network information is transmitted between a sensor belonging to a sensor sink node and a server, and a power supply unit of the sensor, such as a battery or a low-energy-consumption control power supply, and optionally, in this embodiment, the in-cluster node transmits data in a multi-hop manner;
s24, calculating clustering updating information according to the cluster head energy consumption and the cluster internal energy consumption, acquiring incremental data according to the cluster head energy consumption and the cluster internal energy consumption, and performing real-time self-adaptive updating on the node cluster by using the incremental data (namely the clustering updating information).
Referring to fig. 3, which is a detailed flowchart of step S3 in fig. 1 in an embodiment, as shown in fig. 3, step S3, updating the sensing clustering information into real-time clustering information according to the clustering update information, includes:
s31, extracting updating parameters in the clustering updating information, randomly selecting a sensor node with high sensitivity as a cluster head node, calculating the energy consumption e1 of data transmission of the cluster internal node, calculating the energy consumption e2 of the cluster head node for transmitting the data to the base station, and optionally calculating the energy consumption e1 of the data transmission of the cluster internal node means calculating the energy consumption e1 of the cluster internal node for transmitting the data to the cluster head node;
s32, acquiring a preset energy consumption threshold, and calculating energy consumption E of all nodes in the cluster for transmitting data to the base station;
s33, determining whether the update parameter is not greater than the energy consumption threshold, optionally setting the following formula: e1+ E2< = E is a judgment condition;
s34, if yes, maintaining the current sensing clustering information, and if E1+ E2< = E, keeping the clustering;
and S35, if not, circularly traversing and updating the sensing clustering information into real-time clustering information, otherwise, removing cluster head nodes, and randomly selecting other sensor nodes with high sensitivity as cluster head nodes to form new clusters. And circularly executing until the optimal clustering information is obtained.
Referring to fig. 4, a detailed flowchart of step S4 in fig. 1 according to an embodiment is shown, as shown in fig. 4, step S4 includes:
s41, extracting monitoring data in the curtain wall monitoring information, wherein optionally, the curtain wall monitoring information is a network transmission data packet which comprises real-time monitoring numerical information acquired by various curtain wall sensors;
s42, acquiring high-sensitivity nodes and low-sensitivity nodes in the cluster nodes according to the real-time clustering information and the sensor sensitivity information;
s43, judging whether the curtain wall is abnormal according to the monitoring data, and optionally, judging whether the curtain wall is normal according to the following conditions: the temperature sensor senses that the temperature exceeds a reasonable threshold interval, the displacement sensor senses abnormal displacement and the like;
s44, if not, improving the acquisition frequency and the transmission priority of the high-sensitivity nodes, and reducing the acquisition frequency of the low-sensitivity nodes, and optionally, if the glass curtain wall is in a normal condition, improving the acquisition frequency of the high-sensitivity sensors, preferentially transmitting the data of the sensors, and reducing the acquisition frequency of the low-sensitivity sensors;
s45, if the data are abnormal, acquiring abnormal data nodes, improving the acquisition frequency and the transmission priority of the abnormal data nodes, if the glass curtain wall is abnormal, adjusting the acquisition frequency of the abnormal data sensor, preferentially transmitting the monitoring data of the sensor, and acquiring and uploading the data by other sensors according to the uniform acquisition frequency;
and S46, sending the adjusted acquisition frequency and transmission priority to the client, optionally, packing the adjusted information such as data acquisition frequency, period and transmission priority data by the server, and sending the data packet containing the adjustment information to the sensor corresponding to the cluster head in the node cluster according to the dynamically updated node cluster data.
Referring to fig. 5, a schematic diagram of an energy-saving monitoring server module of a glass curtain wall sensor according to the present invention is shown, and as shown in fig. 5, an energy-saving monitoring server 1 of a glass curtain wall sensor includes: the system comprises a sensing data receiving module 11, a clustering setting module 12, a clustering updating module 13 and a sensing adjusting module 14; the sensing data receiving module 11 is configured to receive and analyze curtain wall sensing data, and acquire curtain wall monitoring information, sensor sensitive information, and sensing energy consumption information, where optionally, the sensing data includes elevation sensing data, displacement sensing data, temperature and pressure sensing data, and the curtain wall monitoring information may be obtained by screening and classifying a preset threshold; the clustering setting module 12 is used for initially sensing clustering information according to the sensor sensitive information, wherein a large number of sensor nodes and a small number of sink nodes are distributed, the nodes are converged into a node cluster, the sensor collects related data information, and the data is finally transmitted to the sink nodes through one-hop or multi-hop transmission, the sensing energy consumption information clustering update information is calculated according to preset logic, and the clustering setting module 12 is connected with the sensing data module 11; the clustering updating module 13 is used for updating the sensing clustering information into real-time clustering information according to the clustering updating information, the wireless sensor network usually comprises a base station and a plurality of randomly distributed sensing nodes, and the clustering updating module 13 is connected with the clustering setting module 12; the sensing adjusting module 14 is connected with the sensing data receiving module 11, different sensor data acquisition methods are adopted according to different conditions of the glass curtain wall by considering different sensitive characteristics of various sensors, and the sensing adjusting module 14 is connected with the clustering updating module 13.
Referring to fig. 6, a schematic diagram of specific modules of the cluster setting module in fig. 5 in an embodiment is shown, and as shown in fig. 6, the cluster setting module 12 includes: a high-sensitivity information module 121, a cluster initialization module 122, a cluster head intra-cluster calculation module 123 and an update information module 124; the high-sensitivity information module 121 is configured to obtain high-sensitivity sensing information according to the sensor sensitivity information, and optionally, may preset sensor sensitivity thresholds for different types of sensors, and determine which sensors belong to high-sensitivity erasing and mixing sensors by using the sensor sensitivity thresholds of the various types of sensors, so as to obtain high-sensitivity aggregation network transmission nodes; a cluster initialization module 122, configured to initialize a node cluster according to the high-sensitivity sensing information, where the node cluster includes a cluster head node and an intra-cluster node, and optionally, the high-sensitivity sensing node may be randomly selected as the cluster head node, and the cluster initialization module 122 is connected to the high-sensitivity information module 121; a cluster head in-cluster calculation module 123, configured to calculate sensing energy consumption by using preset logic to obtain cluster head energy consumption and cluster in-cluster energy consumption, where the cluster head energy consumption and cluster in-cluster energy consumption are mainly energy consumption generated when network information is transmitted between a sensor and a server in a sensor sink node and a power supply unit of the sensor, such as a battery or a low-energy-consumption control power supply, optionally, in this embodiment, the cluster in-cluster node transmits data in a multi-hop manner, and the cluster head in-cluster calculation module 123 is connected to the cluster initialization module 122; the update information module 124 is configured to calculate clustering update information according to the cluster head energy consumption and the cluster internal energy consumption, obtain incremental data according to the cluster head energy consumption and the cluster internal energy consumption, perform real-time adaptive update on the node cluster according to the incremental data (i.e., the clustering update information), and the update information module 124 is connected to the cluster head in-cluster calculation module 123.
Referring to fig. 7, which is a schematic diagram showing specific modules of the cluster update module in fig. 5 in an embodiment, as shown in fig. 7, the cluster update module 13 includes: a parameter extraction module 131, a threshold module 132, an update parameter judgment module 133, a maintenance module 134, and a loop update module 135; the parameter extraction module 131 is configured to extract an update parameter in the cluster update information, randomly select a sensor node with high sensitivity as a cluster head node, calculate energy consumption e1 for transmitting data by the cluster internal node, calculate energy consumption e2 for transmitting data to the base station by the cluster head node, and optionally calculate energy consumption e1 for transmitting data by the cluster internal node, where the energy consumption e1 is calculated for transmitting data by the cluster internal node to the cluster head node; a threshold module 132, configured to obtain a preset energy consumption threshold, and calculate energy consumption E for all nodes in a cluster to transmit data to the base station; an update parameter determining module 133, configured to determine whether the update parameter is not greater than the energy consumption threshold, optionally, set the following formula: e1+ E2< = E is the determination condition, the update parameter determination module 133 is connected to the parameter extraction module 131, and the update parameter determination module 133 is connected to the threshold module 132; a maintaining module 134, configured to maintain the current sensing clustering information when the update parameter is not greater than the energy consumption threshold, and if E1+ E2< = E, the cluster is retained, and the maintaining module 134 is connected to the update parameter determining module 133; and the cyclic updating module 135 is configured to, when the update parameter is greater than the energy consumption threshold, cyclically traverse and update the sensing clustering information to be real-time clustering information, otherwise, reject the cluster head node, and randomly select other sensor nodes with high sensitivity as cluster head nodes to form a new cluster. And performing circulation until the optimal clustering information is obtained, wherein the circulation updating module 135 is connected with the updating parameter judging module 133, and the circulation updating module 135 is connected with the threshold module 132.
Referring to fig. 8, which is a schematic diagram showing specific modules of the sensing module of fig. 5 in an embodiment, as shown in fig. 8, the sensing module 14 includes: the monitoring system comprises a monitoring data extraction module 141, a sensitive node module 142, an abnormality judgment module 143, a non-abnormality module 144, an abnormality regulation module 145 and a regulation information sending module 146; the monitoring data extraction module 141 is configured to extract monitoring data in the curtain wall monitoring information, and optionally, the curtain wall monitoring information is a network transmission data packet, and the data packet includes real-time monitoring numerical information acquired by various curtain wall sensors; the sensitive node module 142 is used for acquiring high-sensitive nodes and low-sensitive nodes in the cluster according to the real-time clustering information and the sensor sensitive information; the anomaly judgment module 143 is configured to judge whether the curtain wall is abnormal according to the monitoring data, and optionally, the judgment condition whether the curtain wall is normal may be: the temperature sensor senses that the temperature exceeds a reasonable threshold interval, the displacement sensor senses abnormal displacement and the like, and the abnormality judgment module 143 is connected with the monitoring data extraction module 141; the non-abnormal module 144 is used for increasing the acquisition frequency and the transmission priority of the high-sensitivity node and reducing the acquisition frequency of the low-sensitivity node when the curtain wall is not abnormal, optionally, if the glass curtain wall is in a normal condition, the acquisition frequency of the sensor with high sensitivity is increased, the data of the sensor is preferentially transmitted, and the acquisition frequency of the sensor with low sensitivity is reduced, wherein the non-abnormal module 144 is connected with the abnormal judgment module 143, and the non-abnormal module 144 is connected with the sensitive node module 142; the abnormal adjusting module 145 is used for acquiring abnormal data nodes when the curtain wall is abnormal, improving the acquisition frequency and transmission priority of the abnormal data nodes, adjusting the acquisition frequency of the abnormal data sensors if the glass curtain wall is abnormal, preferentially transmitting the monitoring data of the sensors, acquiring the data by other sensors according to the uniform acquisition frequency and uploading the data, and the abnormal adjusting module 145 is connected with the abnormal judging module 143; and an adjustment information sending module 146, configured to send the adjusted acquisition frequency and transmission priority to the client, optionally, the server packages information such as the adjusted data acquisition frequency and period and transmission priority data, and sends a data packet containing adjustment information to a sensor corresponding to a cluster head in the node cluster according to dynamically updated node cluster data, where the adjustment information sending module 146 is connected to the non-abnormal module 144, and the adjustment information sending module 146 is connected to the abnormal adjustment module 145.
Referring to fig. 9, a schematic step view of an implementation method of an energy-saving monitoring client of a glass curtain wall sensor according to the present invention is shown, and as shown in fig. 9, an implementation method of an energy-saving monitoring operation and maintenance client of a glass curtain wall sensor includes:
s1', collecting curtain wall sensing data by a sensing device, wherein optionally, the curtain wall sensor comprises a temperature sensor, a stress sensor, a displacement sensor, an elevation sensor, an inclination angle sensor and the like, and the sensor is integrated and embedded into the glass curtain wall to be monitored;
s2', sending the curtain wall sensing data to the server, optionally, the sensor sends the curtain wall sensing data to the server through a wireless network or a wired transmission mode, where the curtain wall sensing data may include real-time temperature, pressure and other numerical information of the curtain wall;
s3', receiving sensing adjustment information, wherein a wireless transmission antenna or a wired network cable is arranged in the sensing monitoring device integrally provided with various sensors and used for receiving the sensing adjustment information such as data transmission priority and acquisition frequency from a server;
s4', extracting the acquisition frequency and the transmission priority in the sensing adjustment information, optionally, the acquisition frequency may control a microprocessor in the sensor integration apparatus to adjust the acquisition period and the transmission priority of the sensing data;
s5', adjusting the working state of the sensing device according to the acquisition frequency and the transmission priority, optionally embedding and installing a low-energy-consumption microprocessor in the sensing device, and adjusting the real-time working state of various curtain wall sensors in a multidimensional way according to the acquisition frequency and the transmission priority.
Referring to fig. 10, a schematic diagram of an energy-saving monitoring client module of a glass curtain wall sensor according to the present invention is shown, and as shown in fig. 10, an energy-saving monitoring client 1' of a glass curtain wall sensor includes: the device comprises a sensing acquisition module 11 ', a sensing data sending module 12 ', an adjusting information receiving module 13 ', an adjusting extraction module 14 ' and a sensor adjusting module 15 '; the sensing acquisition module 11' is used for acquiring curtain wall sensing data by using a sensing device, optionally, the curtain wall sensor comprises a temperature sensor, a stress sensor, a displacement sensor, an elevation sensor, an inclination angle sensor and the like, and the sensor is integrated, embedded and installed in the glass curtain wall to be monitored; the sensing data sending module 12 ' is used for sending the curtain wall sensing data to the server, optionally, the sensor sends the curtain wall sensing data to the server in a wireless network or wired transmission mode, the curtain wall sensing data can include real-time temperature, pressure and other numerical information of the curtain wall, and the sensing data sending module 12 ' is connected with the sensing acquisition module 11 '; the adjustment information receiving module 13' is used for receiving sensing adjustment information from a server, and a wireless transmission antenna or a wired network cable is arranged in the sensing monitoring device integrally provided with various sensors and used for receiving the sensing adjustment information such as data transmission priority, acquisition frequency and the like; the adjustment extraction module 14 ' is used for extracting the acquisition frequency and the transmission priority in the sensing adjustment information, the adjustment extraction module 14 ' is connected with the adjustment information receiving module 13 ', and optionally, the acquisition frequency can control a microprocessor in the sensor integrated device to adjust the acquisition period and the transmission priority of the sensing data; the sensor adjusting module 15 ' is used for adjusting the working state of the sensing device according to the acquisition frequency and the transmission priority, optionally, a low-energy-consumption microprocessor is embedded in the sensing device and used for multi-dimensionally adjusting the real-time working state of various curtain wall sensors according to the acquisition frequency and the transmission priority, and the sensor adjusting module 15 ' is connected with the adjusting and extracting module 14 '.
In summary, the energy-saving monitoring method, the server and the client for the glass curtain wall sensor provided by the utility model have the following beneficial effects: the energy-saving monitoring method, the server and the client of the glass curtain wall sensor provided by the utility model avoid the technical problems of sensor network splitting and single network sink node management mode caused by the fact that the electric quantity of the sensor is easy to exhaust in the prior art. The utility model discloses an energy-saving monitoring method for a glass curtain wall sensor, a server side and a client side.
In conclusion, the utility model solves the technical problems of sensor network splitting and single network sink node management mode caused by easy exhaustion of sensor electric quantity in the prior art, and has high commercial value and practicability.
Claims (8)
1. The energy-saving monitoring method for the glass curtain wall sensor is characterized by comprising the following steps:
receiving and analyzing curtain wall sensing data, and acquiring curtain wall monitoring information, sensor sensitive information and sensing energy consumption information;
initializing sensing clustering information according to the sensor sensitive information, and calculating the sensing energy consumption information by preset logic to obtain clustering updating information;
updating the sensing clustering information into real-time clustering information according to the clustering updating information;
extracting monitoring data in the curtain wall monitoring information;
acquiring high-sensitive nodes and low-sensitive nodes in the cluster according to the real-time clustering information and the sensor sensitive information;
judging whether the curtain wall is abnormal or not according to the monitoring data;
if not, improving the acquisition frequency and the transmission priority of the high-sensitivity node, and reducing the acquisition frequency of the low-sensitivity node;
if so, acquiring a data abnormal node, and improving the acquisition frequency and the transmission priority of the data abnormal node;
and sending the adjusted acquisition frequency and the transmission priority to a client.
2. The energy-saving monitoring method for the glass curtain wall sensor according to claim 1, wherein the sensing clustering information is initialized according to the sensor sensitive information, the sensing energy consumption information is calculated by preset logic to obtain clustering updating information, and the method further comprises the following steps:
acquiring high-sensitivity sensing information according to the sensor sensitive information;
initializing a node cluster according to the high-sensitivity sensing information, wherein the node cluster comprises a cluster head node and an intra-cluster node;
calculating the sensing energy consumption according to preset logic to obtain cluster head energy consumption and cluster internal energy consumption;
and calculating the clustering updating information according to the cluster head energy consumption and the cluster internal energy consumption.
3. The energy-saving monitoring method for the glass curtain wall sensor as claimed in claim 1, wherein the updating of the sensing clustering information into real-time clustering information according to the clustering update information comprises:
extracting an updating parameter in the clustering updating information;
acquiring a preset energy consumption threshold;
judging whether the updating parameter is not larger than the energy consumption threshold value;
if yes, maintaining the current sensing clustering information;
if not, circularly traversing and updating the sensing clustering information into real-time clustering information.
4. The utility model provides an energy-conserving monitoring service end of glass curtain wall sensor which characterized in that includes: the system comprises a sensing data receiving module, a clustering setting module, a clustering updating module and a sensing adjusting module;
the sensing data receiving module is used for receiving and analyzing the sensing data of the curtain wall and acquiring monitoring information of the curtain wall, sensitive information of the sensor and sensing energy consumption information;
the clustering setting module is used for initializing sensing clustering information according to the sensor sensitive information and calculating the sensing energy consumption information by preset logic to obtain clustering updating information;
the clustering updating module is used for updating the sensing clustering information into real-time clustering information according to the clustering updating information;
the sensing adjustment module comprises: the system comprises a monitoring data extraction module, a sensitive node module, an abnormality judgment module, a non-abnormality module, an abnormality regulation module and a regulation information sending module;
the monitoring data extraction module is used for extracting monitoring data in the curtain wall monitoring information;
the sensitive node module is used for acquiring high-sensitive nodes and low-sensitive nodes in the cluster according to the real-time clustering information and the sensor sensitive information;
the abnormity judging module is used for judging whether the curtain wall is abnormal or not according to the monitoring data;
the non-abnormal module is used for improving the acquisition frequency and the transmission priority of the high-sensitivity node and reducing the acquisition frequency of the low-sensitivity node when the curtain wall is not abnormal;
the abnormal adjustment module is used for acquiring a data abnormal node when the curtain wall is abnormal, and improving the acquisition frequency and the transmission priority of the data abnormal node;
and the adjustment information sending module is used for sending the adjusted acquisition frequency and the adjusted transmission priority to a client.
5. The energy-saving monitoring server side of the glass curtain wall sensor as claimed in claim 4, wherein the clustering setting module comprises: the cluster head updating system comprises a high-sensitivity information module, a cluster initial module, a cluster head intra-cluster calculation module and an information updating module;
the high-sensitivity information module is used for acquiring high-sensitivity sensing information according to the sensor sensitive information;
the cluster initialization module is used for initializing a node cluster according to the high-sensitivity sensing information, wherein the node cluster comprises a cluster head node and an intra-cluster node;
the cluster head in-cluster calculating module is used for calculating the sensing energy consumption according to preset logic to obtain cluster head energy consumption and cluster in-cluster energy consumption;
and the update information module is used for calculating the clustering update information according to the cluster head energy consumption and the cluster internal energy consumption.
6. The energy-saving monitoring server side of the glass curtain wall sensor as claimed in claim 4, wherein the clustering updating module comprises: the device comprises a parameter extraction module, a threshold module, an update parameter judgment module, a maintenance module and a cyclic update module;
the parameter extraction module is used for extracting the update parameters in the clustering update information;
the threshold module is used for acquiring a preset energy consumption threshold;
the updating parameter judging module is used for judging whether the updating parameter is not larger than the energy consumption threshold value or not;
the maintaining module is configured to maintain the current sensing clustering information when the update parameter is not greater than the energy consumption threshold;
and the cyclic updating module is used for cyclically and transversely updating the sensing clustering information into real-time clustering information when the updating parameter is larger than the energy consumption threshold.
7. The method for realizing the energy-saving monitoring operation and maintenance client of the glass curtain wall sensor is characterized by comprising the following steps of:
collecting curtain wall sensing data by a sensing device;
sending the curtain wall sensing data to a server;
receiving the acquisition frequency and the transmission priority from the server; the acquisition frequency and the transmission priority are obtained by the server side according to the curtain wall sensing data through calculation by adopting the energy-saving monitoring method of the glass curtain wall sensor as claimed in claim 1;
and adjusting the working state of the sensing device according to the acquisition frequency and the transmission priority.
8. The utility model provides an energy-conserving monitoring client of glass curtain wall sensor which characterized in that includes: the device comprises a sensing acquisition module, a sensing data sending module, an adjusting information receiving module and a sensor adjusting module;
the sensing acquisition module is used for acquiring curtain wall sensing data by using the sensing device;
the sensing data sending module is used for sending the curtain wall sensing data to a server;
the adjusting information receiving module is used for receiving the acquisition frequency and the transmission priority from the server; the acquisition frequency and the transmission priority are obtained by the server side according to the curtain wall sensing data through calculation by adopting the energy-saving monitoring method of the glass curtain wall sensor as claimed in claim 1;
and the sensor adjusting module is used for adjusting the working state of the sensing device according to the acquisition frequency and the transmission priority.
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