CN117238114A

CN117238114A - Building environment data processing method, system and device based on Internet of things

Info

Publication number: CN117238114A
Application number: CN202311518162.XA
Authority: CN
Inventors: 龚麟; 李正国; 蔡文江; 张泽庭; 师宝琴; 李钟勉; 刘家伟; 柳富耀
Original assignee: Shenzhen Hongyuan Construction Technology Co ltd
Current assignee: Shenzhen Hongyuan Construction Technology Co ltd
Priority date: 2023-11-15
Filing date: 2023-11-15
Publication date: 2023-12-15
Anticipated expiration: 2043-11-15
Also published as: CN117238114B

Abstract

The embodiment of the invention discloses a building environment data processing method, system and device based on the Internet of things, and relates to the technical field of intelligent building. According to the method, environmental data of single sensing data can be received through a plurality of data nodes respectively, preliminary threshold monitoring is conducted, after data abnormality is monitored, abnormal environmental data are sent to an abnormality processing node, based on dense transmission instructions sent by the abnormality processing node, all environmental data of a target area where sensing equipment identification corresponding to the abnormal environmental data is located within a first preset duration are returned, whether the environment corresponding to the target area is abnormal or not is comprehensively evaluated through the abnormality processing node according to preset abnormal conditions, if abnormality exists, abnormality early warning information is generated and sent to a terminal for display warning, and therefore monitoring of the environmental data in other areas in a building by the plurality of data nodes is not affected, and timeliness of abnormality early warning can be improved under the condition that the acquired environmental data are more.

Description

Building environment data processing method, system and device based on Internet of things

Technical Field

The invention relates to the technical field of intelligent buildings, in particular to a building environment data processing method, system and device based on the Internet of things.

Background

In different living environments such as a home environment or an office environment, various sensing devices are required to be arranged, for example, a smoke alarm is arranged to detect whether fire information exists or not, a temperature sensor is arranged to detect the temperature in the environment for adjustment, an infrared sensing device is arranged to detect whether a person passes or not, and the like.

However, because of various kinds of data, a large amount of data, and different data sources, it is common to perform separate processing of data in a classified form for data sensed by different sensing devices. And when the acquired building environment data are more, the processing steps are complicated, the time consumption is long, and the timeliness of early warning when the building environment is abnormal is not facilitated.

Disclosure of Invention

The present invention has been made in view of the above problems, and it is therefore an object of the present invention to provide a method, a system and an apparatus for processing building environment data based on internet of things, which overcome or at least partially solve the above problems.

According to a first aspect of the present invention, there is provided a building environment data processing method based on the internet of things, the method comprising:

Acquiring abnormal environment data and a sensing equipment identifier sent by a target data node, wherein the abnormal environment data are obtained by respectively performing threshold monitoring on at least one data node according to environment data of a plurality of areas in a building and environment data of single sensing data preset by the data node;

generating a dense transmission instruction according to the sensing equipment identifier and sending the dense transmission instruction to all data nodes, so that all the data nodes respond to the dense transmission instruction, shortening the acquisition interval of the environmental data corresponding to the target area, and returning the environmental data corresponding to the target area acquired in a first preset time period;

according to a preset abnormal condition, determining whether the environmental data corresponding to the target area acquired in the first preset time period is abnormal or not;

and under the condition that the environment data corresponding to the target area is abnormal, generating abnormal early warning information according to the environment data and the sensing equipment identification, and sending the abnormal early warning information to the terminal for display alarm.

According to a second aspect of the present invention, there is further provided a building environment data processing system based on the internet of things, including a plurality of sensing devices, a gateway device, a server, and a terminal device communicatively connected to the server, where the sensing devices are connected to the server through the gateway device, and the server includes a plurality of data nodes, and an exception handling node communicatively connected to the data nodes, and the exception handling node is configured to execute the data processing method according to any one of the foregoing aspects of the present invention.

According to a third aspect of the present invention, there is provided a building environment data processing apparatus based on the internet of things, the apparatus comprising:

the data acquisition module is used for acquiring abnormal environment data and a sensing equipment identifier sent by a target data node, wherein the abnormal environment data are obtained by respectively carrying out threshold monitoring on at least one data node according to the environment data of a plurality of areas in a building and the environment data of each preset single sensing data;

the instruction sending module is used for generating a dense transmission instruction according to the sensing equipment identifier and sending the dense transmission instruction to all data nodes so that the data nodes respond to the dense transmission instruction, the acquisition interval of the environment data corresponding to the target area is shortened, and the environment data corresponding to the target area acquired in the first preset time length is returned;

the environment abnormality judging module is used for determining whether the environment data corresponding to the target area acquired in the first preset duration is abnormal according to the preset abnormality condition;

the early warning sending module is used for generating abnormal early warning information according to the environment data and the sensing equipment identification under the condition that the environment data corresponding to the target area is abnormal, and sending the abnormal early warning information to the terminal for display warning.

In the scheme of the invention, the method comprises the steps of firstly acquiring abnormal environment data and a sensing equipment identifier, wherein the abnormal environment data are sent by a target data node, and the abnormal environment data are obtained by respectively carrying out threshold monitoring on at least one data node according to environment data of a plurality of areas in a building and environment data of single sensing data preset by the data node. And then generating a dense transmission instruction according to the sensing equipment identifier and sending the dense transmission instruction to all data nodes, so that all the data nodes respond to the dense transmission instruction, shortening the acquisition interval of the environment data corresponding to the target area, and returning the environment data corresponding to the target area acquired in the first preset time. And determining whether the environmental data corresponding to the target area obtained in the first preset time period is abnormal according to the preset abnormal condition, and finally generating abnormal early warning information according to the environmental data and the sensing equipment identifier under the condition that the environmental data corresponding to the target area is abnormal, and sending the abnormal early warning information to the terminal for display alarm. Therefore, under the condition that sensing devices are numerous, environment data of single sensing data can be received through a plurality of data nodes respectively, preliminary threshold monitoring is conducted, after data abnormality is monitored, abnormal environment data are sent to an abnormality processing node, based on intensive transmission instructions sent by the abnormality processing node, all environment data of a target area where sensing device identification corresponding to the abnormal environment data is located within a first preset time period are returned, whether the environment corresponding to the target area is abnormal or not is comprehensively evaluated through the abnormality processing node according to preset abnormal conditions, if abnormality exists, abnormality early warning information is generated and sent to a terminal for display and alarm, and in the process, the monitoring of the environment data in other areas in a building by the plurality of data nodes is not affected, so that timeliness of abnormality early warning can be improved under the condition that the acquired environment data is numerous.

The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures.

In the drawings:

FIG. 1 is a system architecture diagram of a building environment data processing system based on the Internet of things, provided by an embodiment of the invention;

FIG. 2 is a block diagram of a server according to an embodiment of the present invention;

fig. 3 is a step flowchart of a building environment data processing method based on the internet of things, which is provided by the embodiment of the invention;

FIG. 4 is a flowchart of steps of another building environment data processing method based on the Internet of things according to an embodiment of the present invention;

Fig. 5 is a block diagram of a building environment data processing device based on the internet of things, which is provided by the embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

Referring to fig. 1, a building environment data processing system based on the internet of things provided by an embodiment of the invention is shown, where the system includes a plurality of sensing devices, a gateway device, a server and at least one terminal device. The sensing equipment is used as a sensing layer of the Internet of things and used for collecting environmental data; the gateway equipment is used as a network layer of the Internet of things and used for transmitting the environment data; the server and the terminal device are used as an application layer of the Internet of things and are used for processing the environmental data, wherein the sensing device is connected with the server through the gateway device. The sensing data of the environmental data matches the type of the plurality of sensing devices, for example, in case the sensing devices include a smoke sensing device, a temperature sensing device, and a humidity sensing device, the environmental data includes the following types: smoke sensing data, temperature sensing data, and humidity sensing data.

Referring to fig. 2, the server includes a plurality of data nodes and an exception handling node communicatively connected to the data nodes, and the following method embodiment is applied to the exception handling node. The data nodes are used for carrying out threshold monitoring on the environmental data transmitted by the network layer, and each data node presets only one type of sensing data of the processed environmental data, that is, the number of the data nodes is consistent with the sensing data of the corresponding environmental data, for example, when the environmental data comprises three sensing data, namely smoke sensing data, temperature sensing data and humidity sensing data, the number of the data nodes is preset to be 3.

Referring to fig. 3, a step flowchart of a building environment data processing method based on the internet of things provided by an embodiment of the present invention is shown, where the method is applied to the exception handling node, and includes:

s301, acquiring abnormal environment data and a sensing equipment identifier, wherein the abnormal environment data and the sensing equipment identifier are transmitted by a target data node, and the abnormal environment data are obtained by respectively performing threshold monitoring on at least one data node according to environment data of a plurality of areas in a building and environment data of single sensing data preset by the data node.

In the embodiment of the invention, the building can refer to a building such as a mall and an office building, wherein when the area of the building is divided, the division can be performed according to a single sealed area in the mall and the office building. For example, for an office building, each office may be a region, and thus, the corresponding sensing device may be installed in regions, and may be identified as a sensing device by different region identifications. That is, multiple types of sensing devices located within the same area may be marked with the same sensing device identification. The environmental data may include a plurality of sensing data, and each data node decibel threshold monitors the environmental data for a different sensing data. For example, in the case where the environmental data includes two kinds of sensing data, that is, temperature sensing data and humidity sensing data, there are two corresponding data nodes. One of the data nodes is used for receiving temperature sensing data, and the other data node is used for receiving humidity sensing data.

Threshold monitoring refers to the fact that a corresponding sensing data threshold is preset, and the data node judges that the environmental data is abnormal under the condition that the sensing data threshold is exceeded and/or is lower than the sensing data threshold. In one example, one of the data nodes stores a temperature upper limit value and a temperature lower limit value in advance, and determines that the environmental data is abnormal when the temperature sensing data in the environmental data is greater than the temperature upper limit value or less than the temperature lower limit value, and sends the abnormal environmental data to the abnormal processing node as abnormal environmental data. In another example, the other data node stores a humidity upper limit value and a humidity lower limit value in advance, and determines that the environmental data is abnormal when the humidity sensing data in the environmental data is greater than the humidity upper limit value or less than the humidity lower limit value, thereby sending the corresponding environmental data as abnormal environmental data, and a sensing device identifier for collecting the corresponding environmental data to the abnormal processing node. The target data node may be understood as a data node that sends the exception environment data to the exception handling node.

And under the condition that the data node monitors that the corresponding environmental data is normal, the data node can upload the corresponding environmental data to the cloud service platform so as to facilitate the storage of the environmental data and the generation of a monitoring log of the later environmental data.

S302, generating a dense transmission instruction according to the sensing equipment identifier and sending the dense transmission instruction to all data nodes, so that all the data nodes respond to the dense transmission instruction, shortening the acquisition interval of the environment data corresponding to the target area, and returning the environment data corresponding to the target area acquired in the first preset time period.

In the embodiment of the invention, after the exception handling node receives the exception environment data and the sensing equipment identifier, it is determined that an exception may exist in the corresponding target area, and an exception evaluation service is triggered. The target area refers to an area where abnormality occurs in the environmental data. And generating corresponding dense transmission instructions based on the sensing equipment identification and sending the dense transmission instructions to all data nodes. Wherein the closely-spaced transmission instructions may include a sensing device identification and a data acquisition interval. Since the environmental data of a single sensor data in one area is abnormal, it is highly likely that the environmental data of other sensor data is abnormal in a subsequent period of time. Thus, the densely transmitted instructions generated by the exception handling node are sent to all data nodes.

Each data node responds to the dense transmission instruction to acquire the environment data of the target area according to a data acquisition interval, wherein the time interval is greatly reduced compared with the data acquisition interval of the data node for acquiring the environment data of other areas except the target area. That is, the acquisition interval of the environment data corresponding to the target area is shortened. Therefore, under the condition that the data nodes monitor the environmental data of different areas in the building by the threshold value, the acquisition interval of the environmental data can be relatively longer, so that the operation performance of the server can be reserved to ensure that the environmental data of each area is monitored by the threshold value in real time, the overlarge data transmission quantity caused by the overlarge acquisition interval is avoided, and the processing time of the environmental data is prolonged. And meanwhile, under the condition that the environment data is monitored to be abnormal, the target area is monitored more accurately through the abnormality processing node.

S303, determining whether the environmental data corresponding to the target area acquired in the first preset time period is abnormal according to the preset abnormal condition.

In the embodiment of the invention, the preset abnormal condition is used for eliminating the abnormality of the environment data corresponding to the target area caused by accidental factors. In one example, the preset exception condition may be: the abnormal ratio of different sensing data in the environment data corresponding to the target area obtained in the first preset time period is larger than or equal to the preset ratio. For example, when 10 pieces of environment data corresponding to an office are obtained within 1min, and the environment data include smoke sensing data, temperature sensing data and humidity sensing data, if the abnormal number of the smoke sensing data is 9 pieces and the normal number of the smoke sensing data is 1 piece, the abnormal ratio of the smoke sensing data is 0.9; if the abnormal number of the temperature sensing data is 2 and the normal number of the temperature sensing data is 8, the abnormal ratio of the temperature sensing data is 0.2; if the abnormal number of the humidity sensing data is 1 and the normal number of the humidity sensing data is 9, the abnormal ratio of the humidity sensing data is 0.1. For example, the preset ratios may include a first preset ratio preset for temperature sensing data, a second preset ratio preset for humidity sensing data, a third preset ratio preset for smoke sensing data, and so on.

For example, when the first preset ratio is 0.8, the second preset ratio is 0.7, and the third preset ratio is 0.6, the corresponding temperature sensing data is normal, the corresponding humidity sensing data is normal, and the corresponding smoke sensing data is abnormal. And under the condition that any kind of sensing data is abnormal, determining that the environment data corresponding to the target area is abnormal. Step S304 is performed. In the case where it is determined that the environmental data corresponding to the target area is normal, the reception of the abnormal environmental data is continuously monitored, that is, the execution of step S301 is waited.

S304, generating abnormal early warning information according to the environment data and the sensing equipment identification, and sending the abnormal early warning information to a terminal for display alarm.

In the embodiment of the invention, corresponding abnormal early warning information is generated aiming at the abnormal sensing data in the environment data and is sent to the terminal for display and alarm. The terminal device loaded with the terminal may include, but is not limited to, tablet, mobile phone, computer, and other devices that establish a communication connection with a server. Therefore, building environment monitoring personnel can view corresponding abnormal early warning information based on the terminal equipment, quickly locate a target area according to the identification of the sensing equipment, and timely recover the abnormality of the sensing data of the target area. The monitoring of the environmental data in other areas in the building by the data nodes is not influenced, and meanwhile the timeliness of abnormal early warning can be improved.

Referring to fig. 4, a flowchart illustrating steps of another building environment data processing method based on the internet of things according to an embodiment of the present invention is shown, where the method may include:

s401, acquiring abnormal environment data and a sensing equipment identifier, wherein the abnormal environment data and the sensing equipment identifier are transmitted by a target data node, and the abnormal environment data are obtained by respectively performing threshold monitoring on at least one data node according to environment data of a plurality of areas in a building and environment data of single sensing data preset by the data node.

In the embodiment of the present invention, the description of step S401 refers to the description of step S301 described above.

The abnormal environment data at least comprises the following sensing data: smoke sensing data, temperature sensing data, and humidity sensing data. In one example, when the sensor device is increased, a communication connection between the gateway device and a data node corresponding to the sensor device may be established through the gateway device. Under the condition that the sensing type of the sensing equipment is the newly added type, communication connection between the gateway equipment and the new data node can be established, and the corresponding sensing data threshold value is detected by storing the threshold value in the corresponding data node. Therefore, the number of the data nodes is required to be designed redundantly according to the number of the areas divided by the building.

And S402, generating a dense transmission instruction according to the sensing equipment identifier and sending the dense transmission instruction to all data nodes, so that all the data nodes respond to the dense transmission instruction, shortening the acquisition interval of the environment data corresponding to the target area, and returning the environment data corresponding to the target area acquired in the first preset time period.

In an alternative embodiment of the invention, after sending the dense transmission instruction to all the data nodes, the method may further include:

and receiving environment data and node heartbeat information of a target area sent by all data nodes, wherein the node heartbeat information is generated by the data nodes based on the triggering of the intensive transmission instruction and is used for periodically checking the communication state between the data nodes and the local end node, and the node heartbeat information comprises a node identifier and a sending timestamp.

In the embodiment of the invention, the node identifier is used for distinguishing the different data nodes, and the sending time stamp is the data sending time corresponding to each piece of environment data sent by the data nodes. Therefore, each data node transmits a piece of node heartbeat information when transmitting the environmental data of each target area to the exception processing node. That is, the data node starts periodically generating node heartbeat information based on the trigger of the intensive transmission instruction, and transmits the node heartbeat information to the exception handling node simultaneously with the environmental data of each target area. The periodic intervals may be consistent with the data fetch intervals in the densely packed instructions. The communication state between the data node and the local end node (i.e., the exception handling node) can be checked by the node heartbeat information. And communication faults or interruption are avoided, so that timeliness of abnormal early warning is affected.

And under the condition that the heartbeat information of the node is not received after the timeout, determining that the communication connection between the data node and the local end node is disconnected.

And initiating a communication connection request to a corresponding data node according to the node identifier, so that the corresponding data node responds to the communication connection request, reestablishes communication connection with the local node, and resends environment data sent to the local node in a first time period, wherein the first time period is determined according to a sending time stamp of the communication connection request and a time length determined by overtime of the node heartbeat information.

In the embodiment of the present invention, a second preset duration for determining the communication state between the data node and the home node may be preset, and a person skilled in the art may determine the second preset duration according to actual design requirements, for example, the second preset duration may be 10S, 30S, 1min, and the like. Therefore, when the abnormal processing node normally receives the node heartbeat information, the sending time stamp in the last node heartbeat information and the sending time stamp between the current node heartbeat information can be compared, and if the interval time between two adjacent sending time stamps is smaller than or equal to the second preset time length, the communication with the corresponding data node is determined to be normal; if the interval time between the last time of receiving the node heartbeat information by the exception handling node and the current time is longer than the second preset time, that is, the exception handling node does not receive the node heartbeat information after overtime, it is determined that communication connection between the data node and the local end node is disconnected, and therefore whether environment data used for judging whether environment data are abnormal in the exception handling node is lost or not is caused, and the accuracy of exception judgment is affected.

Therefore, the abnormal processing node can initiate a communication connection request to the data node matched with the node identifier based on the node identifier in the node heartbeat information, so that the communication connection request is received by the corresponding data node, and the communication connection with the local node is reestablished. And after the communication connection is established, retransmitting the environment data transmitted to the local end node in the first time period. The first time period may take a sending time stamp of the communication connection request as an end time and a time when a time interval between the sending time stamp and the sending time stamp is a second preset time length as a start time. Thereby avoiding the loss of environmental data.

In the embodiment of the invention, the preset abnormal condition is used for eliminating the abnormality of the environmental data corresponding to the target area caused by accidental factors. In an example, the preset abnormal condition may be: the comprehensive risk value of all the environmental data corresponding to the target area obtained in the first preset duration is greater than or equal to the preset risk value, so that whether the environmental data corresponding to the target area obtained in the first preset duration is abnormal or not is determined according to the preset abnormal condition, and the step S403 can be understood as follows.

S403, determining whether the comprehensive risk value of all the environmental data corresponding to the target area acquired in the first preset time period is larger than or equal to a preset risk value.

In the embodiment of the present invention, the first preset duration may be determined by a person skilled in the art according to actual design requirements, for example, the first preset duration may be 20S, 50S, 5min, etc., where the preset risk value may be preset by a person skilled in the art according to actual design requirements.

In an alternative embodiment of the present invention, the integrated risk value is calculated according to the following formula:

formula (1)

Wherein F refers to the comprehensive risk value, and K refers to the total number of all environmental data corresponding to the target area acquired in the first preset time period; j refers to the total type number of the sensing data; cij refers to the abnormal distribution probability corresponding to the ith piece of sensing data corresponding to the jth type of sensing data.

For example, when all pieces of environmental data corresponding to the target area obtained within the first preset duration are 20 pieces, k=20, and when the environmental data includes 3 types of sensing data, that is, smoke sensing data, temperature sensing data, and humidity sensing data, the corresponding j is 3, where the abnormal distribution probability may be a two-value distribution, that is, when the corresponding sensing data exceeds or is lower than a preset sensing data threshold, the sensing data corresponding to the piece of environmental data is determined to be abnormal, the corresponding abnormal distribution probability is 1, and if the sensing data corresponding to the piece of environmental data is determined to be normal, the corresponding abnormal distribution probability is 0. Therefore, a comprehensive risk value can be obtained based on the formula (1), and the larger the corresponding comprehensive risk value is.

If the comprehensive risk value of all the environmental data corresponding to the target area obtained in the first preset time period is smaller than the preset risk value, determining that the environmental data corresponding to the target area is normal. Therefore, all environment data evaluated by the exception handling node in the current exception can be cleared, and the receiving condition of the exception environment data is continuously monitored, namely, the step S401 is waited to be executed.

If the integrated risk value of all the environmental data corresponding to the target area obtained in the first preset duration is greater than or equal to the preset risk value, determining that the environmental data corresponding to the target area is abnormal, and executing the following step S404.

S404, determining that the environment data corresponding to the target area is abnormal.

S405, matching corresponding abnormal events according to abnormal sensing data in the environment data.

S406, generating abnormal early warning information based on the abnormal event and the sensing equipment identifier.

In the embodiment of the invention, the mapping relation between the sensing data abnormality and the abnormal event can be prestored in the abnormality processing node. Wherein the abnormal event may be determined based on monitoring purposes for different areas within the building. For example, in offices, smoke sensing devices are installed mainly for detecting whether a fire exists or whether an office person has illegal smoking behaviors, and temperature sensing devices and humidity sensing devices are installed mainly for detecting whether the temperature or humidity in the offices is proper. And the temperature sensing device can further assist in detecting whether a fire exists in the corresponding area (when the fire occurs, the conditions of less smoke, quicker temperature rise and the like may also occur). Therefore, the related abnormal event can be determined in advance based on different sensing data in the same area.

Under the condition that the environment data corresponding to the target area is determined to be abnormal, the corresponding abnormal event is matched according to the abnormal sensing data. The step of determining abnormal sensing data may be as follows: the abnormal ratio of different sensing data in the environment data corresponding to the target area obtained in the first preset time period is larger than or equal to the preset ratio. For example, when 10 pieces of environment data corresponding to an office are obtained within 1min, and the environment data include smoke sensing data, temperature sensing data and humidity sensing data, if the abnormal number of the smoke sensing data is 9 pieces and the normal number of the smoke sensing data is 1 piece, the abnormal ratio of the smoke sensing data is 0.9; if the abnormal number of the temperature sensing data is 2 and the normal number of the temperature sensing data is 8, the abnormal ratio of the temperature sensing data is 0.2; if the abnormal number of the humidity sensing data is 1 and the normal number of the humidity sensing data is 9, the abnormal ratio of the humidity sensing data is 0.1. For example, the preset ratios may include a first preset ratio preset for temperature sensing data, a second preset ratio preset for humidity sensing data, a third preset ratio preset for smoke sensing data, and so on.

For example, when the first preset ratio is 0.8, the second preset ratio is 0.7, and the third preset ratio is 0.6, the corresponding temperature sensing data is normal, the corresponding humidity sensing data is normal, and the corresponding smoke sensing data is abnormal. In one example, the specific distribution of the abnormal events may be as follows:

and if the abnormal sensing data in the environmental data is smoke sensing data, determining that the illegal smoking behavior exists in the target area.

And if the abnormal sensing data in the environmental data are smoke sensing data and temperature sensing data, determining that the fire condition exists in the target area.

And if the abnormal sensing data in the environmental data are smoke sensing data, temperature sensing data and humidity sensing data, determining that the fire condition exists in the target area.

And if the abnormal sensing data in the environmental data is temperature sensing data, determining that the temperature regulation of the target area is abnormal.

And if the abnormal sensing data in the environmental data is humidity sensing data, determining that the humidity adjustment of the target area is abnormal.

Therefore, corresponding abnormal early warning information can be generated based on the matched specific abnormal event and the sensing equipment identifier and sent to the terminal for display alarm. The terminal device loaded with the terminal may include, but is not limited to, tablet, mobile phone, computer, and other devices that establish a communication connection with a server. Therefore, building environment monitoring personnel can view corresponding abnormal early warning information based on the terminal equipment, quickly locate a target area according to the identification of the sensing equipment, and timely recover the abnormality of the sensing data of the target area. The monitoring of the environmental data in other areas in the building by the data nodes is not influenced, and meanwhile the timeliness of abnormal early warning can be improved.

In summary, the method for processing building environment data based on the internet of things provided by the embodiment of the invention includes that firstly, abnormal environment data and sensing equipment identifiers sent by target data nodes are obtained, wherein the abnormal environment data are obtained by respectively performing threshold monitoring on at least one data node according to environment data of a plurality of areas in a building and environment data of respective preset single sensing data. And then generating a dense transmission instruction according to the sensing equipment identifier and sending the dense transmission instruction to all data nodes, so that all the data nodes respond to the dense transmission instruction, shortening the acquisition interval of the environment data corresponding to the target area, and returning the environment data corresponding to the target area acquired in the first preset time. And determining whether the environmental data corresponding to the target area obtained in the first preset time period is abnormal according to the preset abnormal condition, and finally generating abnormal early warning information according to the environmental data and the sensing equipment identifier under the condition that the environmental data corresponding to the target area is abnormal, and sending the abnormal early warning information to the terminal for display alarm. Therefore, under the condition that sensing devices are numerous, environment data of single sensing data can be received through a plurality of data nodes respectively, preliminary threshold monitoring is conducted, after data abnormality is monitored, abnormal environment data are sent to an abnormality processing node, based on intensive transmission instructions sent by the abnormality processing node, all environment data of a target area where sensing device identification corresponding to the abnormal environment data is located within a first preset time period are returned, whether the environment corresponding to the target area is abnormal or not is comprehensively evaluated through the abnormality processing node according to preset abnormal conditions, if abnormality exists, abnormality early warning information is generated and sent to a terminal for display and alarm, and in the process, the monitoring of the environment data in other areas in a building by the plurality of data nodes is not affected, so that timeliness of abnormality early warning can be improved under the condition that the acquired environment data is numerous.

It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the application.

Referring to fig. 5, a building environment data processing device based on the internet of things provided by an embodiment of the present application is applied to the anomaly processing node, where the device may include:

the data acquisition module 501 is configured to acquire abnormal environmental data and a sensing device identifier sent by a target data node, where the abnormal environmental data is obtained by respectively performing threshold monitoring on at least one data node according to environmental data of a plurality of areas in a building and environmental data of respective preset single sensing data.

The instruction sending module 502 is configured to generate a dense transmission instruction according to the sensing device identifier, and send the dense transmission instruction to all data nodes, so that all the data nodes respond to the dense transmission instruction, shorten an acquisition interval of environmental data corresponding to a target area, and return the environmental data corresponding to the target area acquired within a first preset time period.

The environmental anomaly determination module 503 is configured to determine, according to a preset anomaly condition, whether environmental data corresponding to the target area acquired within a first preset duration is anomaly.

And the early warning sending module 504 is used for generating abnormal early warning information according to the environment data and the sensing equipment identifier and sending the abnormal early warning information to the terminal for display warning under the condition that the environment data corresponding to the target area is determined to be abnormal.

In an optional embodiment of the invention, the preset abnormal condition is: the abnormal ratio of different sensing data in the environment data corresponding to the target area obtained in the first preset time period is larger than or equal to the preset ratio.

In an optional embodiment of the invention, the preset abnormal condition is: and the comprehensive risk value of all the environmental data corresponding to the target area acquired in the first preset time period is greater than or equal to the preset risk value. The environmental anomaly determination module 503 may be configured to:

if the comprehensive risk value of all the environmental data corresponding to the target area obtained in the first preset time period is smaller than the preset risk value, determining that the environmental data corresponding to the target area is normal.

The environmental anomaly determination module 503 may be further configured to determine that the environmental data corresponding to the target area is anomaly if the integrated risk value of all the environmental data corresponding to the target area obtained in the first preset time period is greater than or equal to the preset risk value.

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In an alternative embodiment of the invention, the abnormal environmental data includes at least the following sensing data: smoke sensing data, temperature sensing data, and humidity sensing data.

In an alternative embodiment of the invention, the apparatus may further include:

the data receiving module is used for receiving environment data of a target area and node heartbeat information sent by all data nodes, wherein the node heartbeat information is generated by the data nodes based on triggering of the intensive transmission instruction and is used for periodically checking communication states between the data nodes and the local end nodes, and the node heartbeat information comprises node identification and a sending timestamp.

And the communication state determining module is used for determining that communication connection is disconnected between the data node and the local node under the condition that the node heartbeat information is not received over time.

And the communication connection module is used for initiating a communication connection request to the corresponding data node according to the node identifier, so that the corresponding data node responds to the communication connection request, reestablishes communication connection with the local node and resends the environment data sent to the local node in a first time period, wherein the first time period is determined according to the sending time stamp of the communication connection request and the time length of the node heartbeat information overtime judgment.

In an alternative embodiment of the invention, the early warning sending module 504 includes:

the abnormal event matching sub-module is used for matching the corresponding abnormal event according to abnormal sensing data in the environment data.

And the early warning sending sub-module is used for generating abnormal early warning information based on the abnormal event and the sensing equipment identifier.

In an alternative embodiment of the invention, the abnormal event matching sub-module is further configured to:

In summary, the building environment data processing device based on the internet of things provided by the embodiment of the invention comprises the steps of firstly acquiring abnormal environment data and a sensing device identifier sent by a target data node, wherein the abnormal environment data are obtained by respectively performing threshold monitoring on at least one data node according to environment data of a plurality of areas in a building and environment data of respective preset single sensing data. And then generating a dense transmission instruction according to the sensing equipment identifier and sending the dense transmission instruction to all data nodes, so that all the data nodes respond to the dense transmission instruction, shortening the acquisition interval of the environment data corresponding to the target area, and returning the environment data corresponding to the target area acquired in the first preset time. And determining whether the environmental data corresponding to the target area obtained in the first preset time period is abnormal according to the preset abnormal condition, and finally generating abnormal early warning information according to the environmental data and the sensing equipment identifier under the condition that the environmental data corresponding to the target area is abnormal, and sending the abnormal early warning information to the terminal for display alarm. Therefore, under the condition that sensing devices are numerous, environment data of single sensing data can be received through a plurality of data nodes respectively, preliminary threshold monitoring is conducted, after data abnormality is monitored, abnormal environment data are sent to an abnormality processing node, based on intensive transmission instructions sent by the abnormality processing node, all environment data of a target area where sensing device identification corresponding to the abnormal environment data is located within a first preset time period are returned, whether the environment corresponding to the target area is abnormal or not is comprehensively evaluated through the abnormality processing node according to preset abnormal conditions, if abnormality exists, abnormality early warning information is generated and sent to a terminal for display and alarm, and in the process, the monitoring of the environment data in other areas in a building by the plurality of data nodes is not affected, so that timeliness of abnormality early warning can be improved under the condition that the acquired environment data is numerous.

In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.

As will be readily appreciated by those skilled in the art: any combination of the above embodiments is possible, and thus is an embodiment of the present invention, but the present specification is not limited by the text.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.

Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects.

Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components.

An electronic device, comprising:

one or more processors;

a memory;

one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the methods described in the above embodiments.

A computer readable storage medium storing a computer program for use in connection with an electronic device, the computer program being executable by a processor to perform the method of the above embodiments.

It will be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.

Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal 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 terminal. 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 terminal device comprising the element.

The building environment data processing method based on the Internet of things, the building environment data processing system based on the Internet of things and the building environment data processing device based on the Internet of things provided by the invention are described in detail, and specific examples are applied to explain the principle and the implementation mode of the invention, and the description of the above examples is only used for helping to understand the method and the core idea of the invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.

Claims

1. The building environment data processing method based on the Internet of things is characterized by comprising the following steps of:

2. The building environment data processing method based on the internet of things according to claim 1, wherein the preset abnormal condition is: the abnormal ratio of different sensing data in the environment data corresponding to the target area obtained in the first preset time period is larger than or equal to the preset ratio.

3. The building environment data processing method based on the internet of things according to claim 1, wherein the preset abnormal condition is: the comprehensive risk value of all the environmental data corresponding to the target area obtained in the first preset time period is larger than or equal to the preset risk value;

according to a preset abnormal condition, determining whether the environmental data corresponding to the target area acquired in the first preset time period is abnormal or not includes:

if the comprehensive risk value of all the environmental data corresponding to the target area obtained in the first preset time period is smaller than the preset risk value, determining that the environmental data corresponding to the target area is normal;

if the comprehensive risk value of all the environmental data corresponding to the target area obtained in the first preset time period is greater than or equal to the preset risk value, determining that the environmental data corresponding to the target area is abnormal.

4. The building environment data processing method based on the internet of things according to claim 3, wherein the comprehensive risk value is calculated according to the following formula:

；

5. The building environment data processing method based on the internet of things according to claim 1, wherein the abnormal environment data at least comprises the following sensing data: smoke sensing data, temperature sensing data, and humidity sensing data.

6. The building environment data processing method based on the internet of things according to claim 1, wherein the method further comprises:

receiving environment data and node heartbeat information of a target area sent by all data nodes, wherein the node heartbeat information is generated by the data nodes based on the triggering of the intensive transmission instruction and is used for periodically checking the communication state between the data nodes and the local end node, and the node heartbeat information comprises a node identifier and a sending timestamp;

under the condition that the heartbeat information of the node is not received after timeout, the data node and the local end node are determined to be disconnected from each other;

7. The building environment data processing method based on the internet of things according to claim 5, wherein the generating abnormal early warning information according to the environment data and the sensing device identifier comprises:

matching corresponding abnormal events according to abnormal sensing data in the environmental data;

and generating abnormal early warning information based on the abnormal event and the sensing equipment identifier.

8. The method for processing building environment data based on the internet of things according to claim 7, wherein the matching the corresponding abnormal event according to the abnormal sensing data in the environment data comprises:

if the abnormal sensing data in the environmental data is smoke sensing data, determining that illegal smoking behaviors exist in the target area;

if the abnormal sensing data in the environmental data are smoke sensing data and temperature sensing data, determining that a fire exists in the target area;

if the abnormal sensing data in the environmental data are smoke sensing data, temperature sensing data and humidity sensing data, determining that a fire exists in the target area;

if the abnormal sensing data in the environmental data is temperature sensing data, determining that the temperature regulation of the target area is abnormal;

9. The building environment data processing system based on the Internet of things is characterized by comprising a plurality of sensing devices, gateway devices, a server and terminal devices in communication connection with the server, wherein the sensing devices are connected with the server through the gateway devices, the server comprises a plurality of data nodes and an abnormality processing node in communication connection with the data nodes, and the abnormality processing node is used for executing the data processing method according to any one of claims 1-8.

10. A building environment data processing device based on the internet of things, the device comprising: