Indoor environment maintenance method and device, equipment, storage medium and program product

Abstract

The embodiment of the invention provides an indoor environment maintenance method and device, equipment, a storage medium and a program product, and relates to the technical field of Internet of Things. The method comprises the steps of determining abnormal sensor data in sensor data and at least one corresponding abnormal sensor in response to received sensor data used for monitoring an indoor environment, and then sending indication information to environment purification equipment of a corresponding type based on the type and a monitoring area of each abnormal sensor, and responding to the situation that the sensor data corresponding to the at least one abnormal sensor is recovered to the normal numerical value range, and generating and uploading log information. The method provided by the invention effectively solves the problems of poor detection accuracy and purification effect of the indoor office environment.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to an indoor environment maintenance method, device, equipment, storage medium and program product. Background Art

[0002] The safety and comfort of the indoor office environment is related to the comfort and safety of the office workers. Indoor environment detection in related technologies can usually only detect indicators such as temperature and humidity, or only use laser detection systems to detect indoor air quality. The detection types are relatively small, but there are many factors that affect the office environment, which affects the accuracy of office environment monitoring, the effectiveness of office environment monitoring and purification, and the comfort and safety of indoor office workers. Summary of the invention

[0003] The present application provides an indoor environment maintenance method, device, equipment, storage medium and program product to solve the problems of poor detection accuracy and purification effect of indoor office environment in related technologies.

[0004] In a first aspect, the present application provides an indoor environment maintenance method, comprising:

[0005] In response to receiving sensor data for monitoring an indoor environment, determining abnormal sensor data in the sensor data and at least one corresponding abnormal sensor, wherein the abnormal sensor is used to indicate a sensor including abnormal sensor data, the abnormal sensor data is used to indicate that the sensor data does not fall within a normal value range, there are at least two types of sensors, each sensor includes corresponding types of sensor data, and each sensor includes a corresponding monitoring area;

[0006] Based on the type and monitoring area of ​​each abnormal sensor, send instruction information to the corresponding type of environmental purification equipment, wherein the instruction information is used to instruct the environmental purification equipment corresponding to the monitoring area to perform purification processing, and there are at least two types of environmental purification equipment;

[0007] In response to sensor data corresponding to at least one abnormal sensor being restored to within a normal value range, log information is generated and uploaded, where the log information is used to record changes in the sensor data corresponding to the abnormal sensor and indication information.

[0008] In a second aspect, the present application provides an indoor environment maintenance device, comprising:

[0009] A monitoring module, configured to, in response to receiving sensor data for monitoring an indoor environment, determine abnormal sensor data in the sensor data and at least one corresponding abnormal sensor, wherein the abnormal sensor is used to indicate a sensor including abnormal sensor data, the abnormal sensor data is used to indicate that the sensor data does not fall within a normal value range, there are at least two types of sensors, each sensor includes corresponding types of sensor data, and each sensor includes a corresponding monitoring area;

[0010] A purification module, used to send instruction information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, wherein the instruction information is used to instruct the environmental purification equipment corresponding to the monitoring area to perform purification processing, and there are at least two types of environmental purification equipment;

[0011] The output module is used to generate and upload log information in response to the sensor data corresponding to at least one abnormal sensor returning to a normal value range, wherein the log information is used to record the change of the sensor data corresponding to the abnormal sensor and indication information.

[0012] In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor;

[0013] The memory stores computer-executable instructions;

[0014] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the first aspect above and / or various possible implementations of the first aspect.

[0016] In a fifth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the above first aspect and / or various possible implementation methods of the first aspect.

[0017] The indoor environment maintenance method, device, equipment, storage medium and program product provided by the embodiments of the present disclosure, in response to receiving sensor data for monitoring the indoor environment, determine the abnormal sensor data and the corresponding at least one abnormal sensor in the sensor data, and then send indication information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, and then generate and upload log information in response to the sensor data corresponding to at least one abnormal sensor being restored to the normal value range. Thus, the indoor environment is fully monitored by a variety of sensors, and abnormal sensor data and its corresponding abnormal sensor can be identified, thereby improving the accuracy of detection. Based on the type and monitoring area of ​​the abnormal sensor, an indication information is sent to the corresponding environmental purification equipment to perform targeted purification processing and improve the purification effect. When the abnormal sensor data returns to normal, the system generates log information to record data changes and processing processes, which helps to continuously optimize environmental monitoring and purification strategies and improve the comfort and safety of office personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0019] Figure 1 An application scenario diagram of the indoor environment maintenance method provided by the embodiment of the present disclosure;

[0020] Figure 2 A flowchart of an indoor environment maintenance method provided by an embodiment of the present disclosure;

[0021] Figure 3a A flowchart of an indoor environment maintenance method provided by yet another embodiment of the present disclosure;

[0022] Figure 3b for Figure 3a A flow chart of a method for generating alarm information provided by the illustrated embodiment;

[0023] Figure 4 A schematic diagram of the structure of an indoor environment maintenance device provided by another embodiment of the present disclosure;

[0024] Figure 5 A schematic diagram of the structure of an electronic device provided by one embodiment of the present disclosure.

[0025] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0026] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0027] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with the relevant laws, regulations and standards of the relevant countries and regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0028] In addition, this application involves conducting big data analysis of user information (including but not limited to personal biometrics, identity data, consumption data, asset data, electronic terminal operation data, etc.), and using artificial intelligence technology to make automated decisions, and making technical solutions that have a significant impact on personal rights and interests based on the results of automated decisions. The application provides users with corresponding operation entrances for them to choose to agree or reject the results of automated decisions; if the user chooses to reject, the expert decision-making process will be entered.

[0029] It should be noted that the indoor environment maintenance method, device, equipment, storage medium and program product provided in this application can be used in the field of Internet of Things technology, and can also be used in any field outside the field of Internet of Things technology. The application field of the indoor environment maintenance method, device, equipment, storage medium and program product in this application is not limited.

[0030] Figure 1 A schematic diagram of an application scenario of the indoor environment maintenance method provided in this application, such as Figure 1 As shown, during the indoor environment maintenance process, the control system 100 receives the sensor data sent by the sensor 110, and controls the corresponding environment purification equipment 120 to perform environment purification processing to complete the indoor environment maintenance process.

[0031] It should be noted that Figure 1 The scenario shown includes only one or a specific number of control systems, sensors, and environmental purification devices for illustration, but the present disclosure is not limited to this, that is, the number of control systems, sensors, and environmental purification devices can be arbitrary.

[0032] In modern indoor office environments, safety and comfort are important factors that affect employee productivity and health. However, existing technologies have limitations in environmental monitoring, and can usually only monitor limited indicators such as temperature and humidity, or simply evaluate air quality through laser detection systems. This single or partial detection method cannot fully capture the various factors that affect the office environment, resulting in insufficient accuracy of monitoring results, which in turn affects the effectiveness of purification measures and the comfort and safety of office workers.

[0033] However, due to the complexity and diversity of influencing factors in the office environment, and the possible interactions between the factors, it is difficult to directly attribute the abnormality of a single indicator to a specific pollution source or environmental change. In addition, the high mobility of personnel and frequent environmental changes in the office environment also increase the challenge of accurate monitoring. However, if a variety of sensors are simply set up for detection, there will be a large amount of data, which is difficult to process, and it will be difficult to identify abnormal situations in real time and take corresponding measures to deal with them. As a result, the actual monitoring effect is insufficient, and it is difficult to provide targeted treatment solutions, resulting in insufficient purification effect of the indoor office environment.

[0034] The indoor environment maintenance method provided by this application integrates multiple sensors to achieve comprehensive monitoring of the indoor environment, identify abnormal data and its corresponding sensors, and improve the accuracy of detection. According to the type of abnormal sensor and the monitoring area, the system intelligently sends instructions to the corresponding environmental purification equipment to perform targeted purification treatment and improve the purification effect. By generating and analyzing log information, the system can record environmental changes and purification processes, continuously optimize monitoring and purification strategies, and effectively improve the comfort and safety of the office environment.

[0035] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0036] Figure 2 Schematic diagram of the indoor environment maintenance method provided for this application Figure 1 ,like Figure 2 As shown, the method includes:

[0037] S201: In response to receiving sensor data for monitoring an indoor environment, determine abnormal sensor data and at least one corresponding abnormal sensor in the sensor data.

[0038] Among them, the abnormal sensor is used to indicate a sensor containing abnormal sensor data, and the abnormal sensor data is used to indicate that the sensor data is not within the normal value range. There are at least two types of sensors, each sensor contains corresponding types of sensor data, and each sensor includes a corresponding monitoring area.

[0039] Specifically, this embodiment is used to provide an overall description of the main steps of the indoor environment maintenance method.

[0040] The executing entity in the embodiment of the present disclosure is a control system for indoor environment maintenance. The control system is communicated with various sensors and environmental purification equipment for monitoring the indoor environment to obtain and process the data sent by the sensors and control the working status of the environmental purification equipment. The control system can be set in a server or in a computer equipped with a wireless communication function. For the convenience of subsequent description, it is referred to as the system below.

[0041] In order to ensure the comprehensiveness and accuracy of indoor environmental monitoring, various types of sensors will be configured in the indoor areas within the monitoring range, such as temperature, humidity, formaldehyde and other sensors. At the same time, the system can pre-configure the value range of various sensor monitoring. For example, to ensure human comfort, the temperature should be in the range of 22 to 26 degrees. The temperature data within this value range is normal sensor data, and the temperature data outside this range is abnormal sensor data, which needs to be adjusted by environmental purification equipment (such as air conditioning). In addition, these data may reflect abnormal conditions in the environment, such as excessive concentration of air pollutants or abnormal temperature and humidity.

[0042] The monitoring of these data is achieved through corresponding sensors. Each sensor is responsible for collecting specific types of data and covering a specific monitoring area.

[0043] In order to ensure the overall comfort of the indoor environment, the primary task of the system is to identify abnormal data and its corresponding abnormal sensors based on the sensor data received for monitoring the indoor environment.

[0044] The system can receive and analyze data streams from different sensors in real time. Due to the large number of sensor types and large amount of data, the system can quickly identify data that deviates from the normal range through the preset normal value range, mark it as abnormal, and then automatically process the abnormal sensors, which can effectively ensure the system's effective data processing capabilities under huge data volumes, thereby fully and effectively utilizing the information detected by each sensor.

[0045] In some embodiments, in order to improve the accuracy of recognition, the system can use a variety of data analysis techniques, such as statistical analysis, machine learning algorithms, etc., to better understand data patterns and identify anomalies.

[0046] In some embodiments, the system may also periodically calibrate and maintain each sensor to ensure the accuracy and reliability of the data.

[0047] In some embodiments, the system can dynamically adjust the normal value range and abnormal judgment criteria according to different environmental requirements and sensor types in combination with externally pushed configuration information or environmental information. For example, in air quality monitoring, the normal range setting of indoor sensors can be adjusted according to the seasonal changes of the outdoor air quality index (AQI) or specific pollutants.

[0048] S202: Based on the type and monitoring area of ​​each abnormal sensor, send instruction information to the corresponding type of environmental purification equipment.

[0049] The indication information is used to instruct the environmental purification equipment corresponding to the monitoring area to perform purification processing, and there are at least two types of environmental purification equipment.

[0050] Specifically, the system needs to send instruction information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor.

[0051] The indication information is a control signal generated by the system, which is used to instruct the purification equipment in a specific area to start the corresponding purification process.

[0052] There are at least two types of environmental purification equipment, such as air conditioners, air purifiers, and humidifiers, each of which addresses different environmental issues.

[0053] To ensure that the system can select appropriate purification equipment and send instructions based on the data type and monitoring area of ​​the abnormal sensor, the area corresponding to each sensor and environmental purification equipment can be pre-configured in the system, such as the monitoring area of ​​the sensor and the coverage area of ​​the environmental purification equipment, and a mapping relationship between each sensor, environmental purification equipment and the corresponding area can be established, so that when the abnormal sensor corresponding monitoring area is determined, the environmental purification equipment in the corresponding area can be automatically determined. By controlling the environmental purification equipment in the corresponding area to work, the environmental purification effect can be effectively guaranteed.

[0054] For example, when the air quality sensor detects that the PM2.5 concentration in a certain area exceeds the standard, the system will send a start command to the air purifier in the area and adjust the purification intensity according to the degree of pollution.

[0055] To achieve this function, the system needs to communicate with various purification devices, usually through wireless networks or Internet of Things protocols (such as Zigbee, Z-Wave, etc.) to achieve interconnection between devices.

[0056] In some embodiments, the system can provide personalized purification solutions based on different environmental requirements and user preferences. For example, indoor office users or management users can set the working mode of environmental purification equipment or prioritize environmental issues through mobile applications, thereby achieving more flexible environmental management.

[0057] S203: In response to sensor data corresponding to at least one abnormal sensor being restored to a normal value range, generate and upload log information.

[0058] The log information is used to record the changes and indication information of the sensor data corresponding to the abnormal sensor.

[0059] Specifically, by generating and uploading log information after detecting that the data of the abnormal sensor has returned to the normal value range, it not only helps to track environmental changes and purification effects, but also helps to continuously optimize and improve the system. At the same time, this processing does not require human intervention, and realizes automatic processing of abnormal sensor data, reduces the frequency of human intervention, and reduces the amount of data pushed to managers, thereby achieving effective management of the indoor environment.

[0060] At the same time, the system is able to update and store sensor data and control instructions in real time, so that historical data analysis can be performed to identify patterns and trends in environmental changes, thereby optimizing future monitoring and purification strategies.

[0061] Log information usually includes details such as timestamp, sensor type, abnormal data value, time point of recovery to normal, instruction information sent, and response of the purification equipment.

[0062] In some embodiments, the system can provide data visualization tools to help management users intuitively understand environmental changes and purification effects. For example, by displaying air quality trends in different time periods through charts or dashboards, users can better understand environmental conditions and make corresponding adjustments.

[0063] In some embodiments, the system may also provide a data export function to facilitate management users to conduct more in-depth analysis or integrate with third-party systems.

[0064] The indoor environment maintenance method provided by the embodiment of the present application determines abnormal sensor data and at least one corresponding abnormal sensor in the sensor data in response to receiving sensor data for monitoring the indoor environment, and then sends instruction information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, and then generates and uploads log information in response to the sensor data corresponding to at least one abnormal sensor returning to the normal value range. Thus, the indoor environment is comprehensively monitored by a variety of sensors, and abnormal sensor data and its corresponding abnormal sensor can be identified, thereby improving the accuracy of detection. Based on the type and monitoring area of ​​the abnormal sensor, instruction information is sent to the corresponding environmental purification equipment to perform targeted purification processing and improve the purification effect. When the abnormal sensor data returns to normal, the system generates log information to record data changes and processing processes, which helps to continuously optimize environmental monitoring and purification strategies and improve the comfort and safety of office personnel.

[0065] Figure 3a Schematic diagram of the indoor environment maintenance process provided for this application Figure 2 ,like Figure 3a As shown, in this embodiment Figure 2 Based on the embodiment, the specific process in the indoor environment maintenance method is described in detail, and the method includes:

[0066] S301: In response to receiving sensor data for monitoring an indoor environment, determine a normal value range threshold corresponding to the sensor data based on a sensor type corresponding to the sensor data.

[0067] Specifically, this embodiment is used to further illustrate the specific steps of indoor environment maintenance based on the previous embodiments.

[0068] During the process of indoor environment maintenance, the system will continuously receive sensor data for monitoring the indoor environment, and based on the sensor types corresponding to these data and the preset normal value range threshold, determine whether the sensor data is normal. If normal, it only needs to record the corresponding data in the database or log without further processing, thereby significantly reducing the data processing volume of the system.

[0069] In the disclosed embodiment, the sensors include: a temperature sensor for monitoring indoor temperature, a formaldehyde monitoring sensor for monitoring indoor formaldehyde, a humidity sensor for monitoring indoor humidity, a smoke sensor for monitoring indoor fire, a carbon monoxide sensor, and a dust sensor;

[0070] The sensor data include: the temperature value corresponding to the temperature sensor, the formaldehyde concentration value corresponding to the formaldehyde detection sensor, the humidity value corresponding to the humidity sensor, the smoke concentration value corresponding to the smoke sensor, the carbon monoxide concentration value corresponding to the carbon monoxide sensor, and the dust concentration value corresponding to the dust sensor.

[0071] Specifically, each sensor is responsible for collecting specific environmental data, such as temperature, formaldehyde concentration, humidity, smoke concentration, carbon monoxide concentration, and dust concentration. The normal value range threshold is determined based on environmental standards, health guidelines, or user-defined settings to determine whether the sensor data is within a safe and comfortable range.

[0072] The system can flexibly adjust the normal range of values ​​according to different environmental conditions and sensor types. For example, the normal range of a temperature sensor may be adjusted according to seasonal changes, while the threshold of formaldehyde concentration may be updated based on the latest health standards. In an optional embodiment, the system can allow users to manually set or adjust these thresholds through an interface to meet specific environmental needs or personal preferences. In addition, the system can also integrate external data sources such as weather forecasts or air quality index (AQI) to dynamically adjust the normal range settings of sensors, thereby improving the accuracy and adaptability of monitoring.

[0073] Environmental purification equipment includes: air-conditioning equipment for adjusting indoor temperature and humidity; ventilation equipment and air purification module for adjusting indoor formaldehyde concentration; humidification module for adjusting indoor humidity; fire-fighting module for adjusting indoor smoke concentration, carbon monoxide concentration and dust concentration, and the fire-fighting module includes a spraying fire-extinguishing module and a power-off protection module.

[0074] Specifically, for various monitored sensor data, the system can control the corresponding type of environmental purification equipment to process, so as to achieve purification and effective maintenance of the indoor environment.

[0075] In some embodiments, the system may specifically include a central control unit, a communication unit, a display unit, and other parts to realize the corresponding functions in the indoor environment maintenance method in this solution. Among them, the central control unit may include a data receiving module, a data integration processing module, an instruction issuing module, and a storage module, and the storage module is connected to the data receiving module, the data integration processing module, and the instruction issuing module respectively; the communication unit includes a wireless communication module and a cloud module; the display unit includes a human-computer interaction module and an alarm module. The human-computer interaction module includes a fixed end and a mobile end, and the mobile end includes a mobile phone and a computer; the alarm module includes a sound alarm and a flash alarm.

[0076] The overall workflow is as follows: the sensor will transmit the sensor data collected in real time to the central control unit through the communication unit. After the data integration and processing module in the central control unit finds abnormal sensor data, it will control the corresponding environmental purification equipment to try to eliminate the abnormality, and control the alarm module to alarm according to the configuration rules, thereby purifying the air in the office environment while ensuring the improvement of the comfort and safety of the office environment.

[0077] S302: If the sensor data is not within the normal value range threshold, determine that the sensor data is abnormal sensor data, and determine that the sensor corresponding to the abnormal sensor data is an abnormal sensor.

[0078] Specifically, the system needs to determine whether the sensor data is within a preset normal value range threshold. If the sensor data exceeds the normal range, it is determined to be abnormal sensor data, and the corresponding sensor is marked as an abnormal sensor.

[0079] To this end, the system needs to have efficient data processing capabilities to cope with the large amount of data streams output by multiple sensors at the same time.

[0080] In some embodiments, in certain high-risk environments, the system can set stricter abnormality judgment standards to ensure safety (such as data on carbon monoxide concentration, dust concentration, etc.). In addition, the system can also provide visualization tools for abnormal data to help management users intuitively understand environmental changes and abnormal situations.

[0081] S303: Based on the type and monitoring area of ​​each abnormal sensor, send instruction information to the corresponding type of environmental purification equipment.

[0082] The indication information is used to instruct the environmental purification equipment corresponding to the monitoring area to perform purification processing, and there are at least two types of environmental purification equipment.

[0083] Specifically, the system can select appropriate purification equipment and send instructions based on the data type and monitoring area of ​​the abnormal sensor.

[0084] For example, when the formaldehyde sensor detects that the formaldehyde concentration in a certain area exceeds the standard, the system will send a start command to the ventilation equipment in the area and adjust the ventilation intensity according to the degree of pollution.

[0085] To this end, the system needs to communicate with various environmental purification devices. The system and environmental purification devices are usually interconnected through wireless networks or Internet of Things protocols.

[0086] In some embodiments, to ensure the environmental purification effect, all environmental purification devices of the same type within a set distance range (such as a plane distance of 10 meters) from the abnormal area can be started based on the monitoring area of ​​the abnormal sensor to maximize the environmental purification effect.

[0087] S304: If the sensor data of at least one abnormal sensor is still abnormal sensor data when the time after the indication information is sent reaches the set time, the abnormal sensor is determined as a dangerous sensor.

[0088] Specifically, the system will continue to monitor the data status of abnormal sensors within a set period of time after issuing the indication information. If the data of at least one abnormal sensor has not returned to the normal range within this period of time, the sensor is determined to be a dangerous sensor, which may represent a sensor abnormality of a more serious or persistent environmental problem, such as the limited treatment effect of the purification equipment, or the existence of a more serious environmental problem (such as the area treated by the environmental purification equipment is not the source of the environmental abnormality).

[0089] In some embodiments, the system can dynamically adjust the set time according to different environmental risk levels and sensor types. For example, for high-risk situations such as fire or carbon monoxide leaks, the system can set a shorter time window to allow for rapid response and processing.

[0090] In some embodiments, the system may also integrate artificial intelligence algorithms to analyze historical data and environmental patterns to optimize the setting duration and danger determination criteria, thereby improving the response efficiency and accuracy of the system.

[0091] S305: Generate alarm information of the hazard sensor.

[0092] Specifically, in the above situation, the system generates alarm information of the hazard sensor to remind the user or related system to take further measures.

[0093] In some embodiments, Figure 3b As shown, it is a flow chart of the alarm information generation method. If the sensor also includes a camera sensor, the method for generating alarm information specifically includes:

[0094] S3051. Based on the monitoring area corresponding to the danger sensor, determine the camera sensor data corresponding to the monitoring area.

[0095] Specifically, in the presence of a hazard sensor, manual intervention by a manager is usually required. To help managers understand the specific situation more comprehensively, the system needs to determine the camera sensor data in the monitoring area corresponding to the hazard sensor, thereby helping the system and users better understand the background and possible causes of the abnormal situation.

[0096] In some embodiments, the camera sensor also includes functions such as a sound sensor and an infrared sensor, so as to obtain sound information, personnel information, etc. corresponding to the monitored area, thereby facilitating a more comprehensive understanding of the situation in the monitored area.

[0097] In some embodiments, the system can be configured with intelligent video analysis technologies, such as image recognition and motion detection, to automatically identify abnormal activities or changes in the video and push the identification results to management personnel.

[0098] For example, when a smoke sensor detects an anomaly, the system can analyze the camera image to determine whether visual characteristics of fire or smoke are present, thereby providing a more accurate assessment of the environment.

[0099] S3052: Generate alarm information based on sensor data of the hazard sensor, sensor type and camera sensor data.

[0100] Specifically, in the presence of hazardous sensors, the system will integrate multi-source data to provide more comprehensive and accurate alarm information to help management users or related systems take appropriate countermeasures.

[0101] In some embodiments, the system is pre-configured with an analysis framework to determine the types of dangers that different abnormal data may correspond to. Thus, the system can intuitively determine the nature and severity of the abnormal situation in advance by analyzing the data.

[0102] For example, when both the smoke sensor and the camera detect anomalies at the same time, the system can combine the smoke concentration data and the visual features of the smoke in the video to determine whether there is a fire risk.

[0103] Based on the analysis results, the system generates an alarm message containing detailed information, including the sensor type, the abnormal value detected, the analysis result of the camera data, the timestamp, and the recommended countermeasures.

[0104] In some embodiments, the system may provide a priority setting for alarm information, allowing the user to adjust the delivery method and frequency of alarm information according to different risk levels and environmental requirements.

[0105] In some embodiments, when an alarm module is configured, after the alarm information is generated, the alarm module can automatically trigger the alarm module (or trigger the alarm module after obtaining authorization from the management personnel) to remind indoor office personnel to take safety measures through sound alarms, sound and light alarms, etc.

[0106] By always starting the environmental purification equipment first and then determining whether to send an alarm message and trigger the alarm module, the solution can be activated in a timely manner to make the office environment safer. In the event of more serious abnormal situations such as fire, more time is given to the staff to respond, further improving the safety of the indoor environment.

[0107] S306: If it is determined that the sensor data of the abnormal sensor belongs to the dangerous value range, determine the abnormal sensor as a dangerous sensor.

[0108] Specifically, the system needs to determine whether the data of the abnormal sensor falls within the dangerous value range. If the data of the abnormal sensor exceeds this range, the sensor is determined to be a dangerous sensor. The dangerous value range is usually defined according to environmental safety standards or user-defined settings to identify environmental conditions that may pose a direct threat to health or safety.

[0109] In some embodiments, a flexible danger determination mechanism may be configured in the system to dynamically adjust the danger value range according to different sensor types and environmental conditions.

[0110] For example, the hazardous range for a carbon monoxide sensor might be updated based on the latest health guidelines, while the hazardous range for a smoke sensor might be set based on the building’s fire protection standards.

[0111] In some embodiments, the system may allow the user to manually set or adjust these danger ranges through an interface to meet specific safety requirements or personal preferences.

[0112] In some embodiments, the system may also integrate external data sources, such as government-issued safety alerts or industry standards, to dynamically adjust the danger range settings of sensors, thereby improving the accuracy and adaptability of monitoring.

[0113] S307: Generate alarm information of the hazard sensor.

[0114] Specifically, this step is the same as step S305 and will not be described again here.

[0115] Steps S306 to S307 are optional steps parallel to steps S304 to S305 and step S308. Those skilled in the art may select corresponding steps to execute according to actual conditions.

[0116] S308: In response to sensor data corresponding to at least one abnormal sensor being restored to a normal value range, generate and upload log information.

[0117] The log information is used to record the changes and indication information of the sensor data corresponding to the abnormal sensor.

[0118] Specifically, this step is Figure 2 The corresponding steps in the illustrated embodiment are the same in content and will not be described again here.

[0119] The indoor environment maintenance method provided by the embodiment of the present disclosure realizes comprehensive monitoring and precise purification of the indoor environment by integrating multiple sensors and intelligent analysis technologies. First, by dynamically adjusting the normal value range and danger threshold of the sensor, the system can flexibly respond to different environmental conditions and improve the accuracy of abnormal detection. Secondly, the system intelligently sends instructions to the corresponding environmental purification equipment according to the type and monitoring area of ​​the abnormal sensor to ensure the pertinence and effectiveness of the purification process. In addition, through the data integration of the camera sensor, the system can provide more comprehensive environmental information and enhance the ability to identify potential risks. The alarm information generation mechanism of the dangerous sensor ensures that the user can obtain detailed information about environmental anomalies in a timely manner, so as to take appropriate countermeasures. Finally, the generation and analysis function of log information not only helps to track environmental changes and purification effects, but also provides data support for the continuous optimization of the system. Overall, the solution significantly improves the efficiency and reliability of indoor environmental monitoring and purification, and enhances the safety and comfort of the office environment.

[0120] Figure 4 The schematic diagram of the structure of the indoor environment maintenance device provided in this application is as follows: Figure 4 As shown, the indoor environment maintenance device 400 provided in this embodiment includes:

[0121] The monitoring module 410 is used to determine abnormal sensor data and at least one corresponding abnormal sensor in the sensor data in response to receiving sensor data for monitoring the indoor environment, wherein the abnormal sensor is used to indicate a sensor including abnormal sensor data, and the abnormal sensor data is used to indicate that the sensor data does not fall within a normal value range, and there are at least two types of sensors, each sensor including corresponding types of sensor data, and each sensor including a corresponding monitoring area;

[0122] The purification module 420 is used to send instruction information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, wherein the instruction information is used to instruct the environmental purification equipment corresponding to the monitoring area to perform purification processing, and there are at least two types of environmental purification equipment;

[0123] The output module 430 is used to generate and upload log information in response to the sensor data corresponding to at least one abnormal sensor being restored to within a normal value range, wherein the log information is used to record changes in the sensor data corresponding to the abnormal sensor and indication information.

[0124] In a possible implementation, the monitoring module 410 specifically includes sensors including: a temperature sensor for monitoring indoor temperature, a formaldehyde monitoring sensor for monitoring indoor formaldehyde, a humidity sensor for monitoring indoor humidity, a smoke sensor for monitoring indoor fire, a carbon monoxide sensor, and a dust sensor; the sensor data includes: a temperature value corresponding to the temperature sensor, a formaldehyde concentration value corresponding to the formaldehyde detection sensor, a humidity value corresponding to the humidity sensor, a smoke concentration value corresponding to the smoke sensor, a carbon monoxide concentration value corresponding to the carbon monoxide sensor, and a dust concentration value corresponding to the dust sensor.

[0125] In one possible implementation, the purification module 420 specifically includes environmental purification equipment including: air-conditioning equipment for adjusting indoor temperature and humidity; ventilation equipment and air purification module for adjusting indoor formaldehyde concentration; humidification module for adjusting indoor humidity; fire-fighting module for adjusting indoor smoke concentration, carbon monoxide concentration and dust concentration, and the fire-fighting module includes a spraying fire-extinguishing module and a power-off protection module.

[0126] In one possible implementation, the monitoring module 410 is specifically used to, in response to receiving sensor data for monitoring an indoor environment, determine a normal numerical range threshold corresponding to the sensor data based on the sensor type corresponding to the sensor data; if the sensor data is not within the normal numerical range threshold, determine that the sensor data is abnormal sensor data, and determine that the sensor corresponding to the abnormal sensor data is an abnormal sensor.

[0127] In one possible implementation, the purification module 420 is also used to, based on the type and monitoring area of ​​each abnormal sensor, send an indication message to the corresponding type of environmental purification equipment. If the sensor data of at least one abnormal sensor is still abnormal sensor data when the time after the indication message is sent reaches a set time, the abnormal sensor is determined as a dangerous sensor; and alarm information of the dangerous sensor is generated.

[0128] In one possible implementation, the purification module 420 is also used for, if each sensor also contains a corresponding dangerous value range; after sending indication information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, if it is determined that the sensor data of the abnormal sensor belongs to the dangerous value range, the abnormal sensor is determined to be a dangerous sensor; and alarm information of the dangerous sensor is generated.

[0129] In a possible implementation, the purification module 420 is specifically used for, where the sensor also includes a camera sensor; based on the monitoring area corresponding to the dangerous sensor, determining the camera sensor data corresponding to the monitoring area; and generating alarm information based on the sensor data of the dangerous sensor, the sensor type and the camera sensor data.

[0130] The indoor environment maintenance device provided in this embodiment can execute the method provided in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be described in detail here.

[0131] Figure 5 This is a schematic diagram of the structure of the electronic device provided in this application. Figure 5 As shown, the electronic device 50 provided in this embodiment includes: at least one processor 501 and a memory 502. Optionally, the device 50 also includes a communication component 503. The processor 501, the memory 502 and the communication component 503 are connected via a bus 504.

[0132] In a specific implementation process, at least one processor 501 executes the computer-executable instructions stored in the memory 502, so that at least one processor 501 executes the above method.

[0133] The specific implementation process of the processor 501 can be found in the above method embodiment, and its implementation principle and technical effect are similar, so this embodiment will not be repeated here.

[0134] In the above embodiments, it should be understood that the processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the invention can be directly implemented as a hardware processor, or can be implemented by a combination of hardware and software modules in the processor.

[0135] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0136] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0137] The present application also provides a computer program product, including a computer program, which implements the method in any of the above embodiments when executed by a processor.

[0138] The present application also provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, the method in any of the above embodiments is implemented.

[0139] The above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0140] An exemplary readable storage medium is coupled to a processor so that the processor can read information from the readable storage medium and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an application specific integrated circuit (Application Specific Integrated Circuits, referred to as: ASIC). Of course, the processor and the readable storage medium can also exist in the device as discrete components.

[0141] The division of units is only a logical function division, and there may be other divisions in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0142] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0143] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0144] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0145] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0146] It should be further noted that, although the various steps in the flowchart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowchart may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0147] It should be understood that the above-mentioned device embodiments are only illustrative, and the device of the present application can also be implemented in other ways. For example, the division of units / modules in the above-mentioned embodiments is only a logical function division, and there may be other division methods in actual implementation. For example, multiple units, modules or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0148] In addition, unless otherwise specified, each functional unit / module in each embodiment of the present application may be integrated into one unit / module, each unit / module may exist physically separately, or two or more units / modules may be integrated together. The above-mentioned integrated unit / module may be implemented in the form of hardware or in the form of a software program module.

[0149] If the integrated unit / module is implemented in the form of hardware, the hardware may be a digital circuit, an analog circuit, etc. The physical implementation of the hardware structure includes but is not limited to transistors, memristors, etc. Unless otherwise specified, the processor may be any appropriate hardware processor, such as a CPU, a GPU, an FPGA, a DSP, an ASIC, etc. Unless otherwise specified, the storage unit may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory (RRAM), a dynamic random access memory (DRAM), a static random access memory (SRAM), an enhanced dynamic random access memory (EDRAM), a high-bandwidth memory (HBM), a hybrid memory cube (HMC), etc.

[0150] If the integrated unit / module is implemented in the form of a software program module and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0151] In the above embodiments, the description of each embodiment has its own emphasis. For the part not described in detail in a certain embodiment, please refer to the relevant description of other embodiments. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0152] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0153] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for maintaining an indoor environment, characterized in that: The steps include: In response to receiving sensor data for monitoring an indoor environment, determining abnormal sensor data in the sensor data and at least one corresponding abnormal sensor, wherein the abnormal sensor is used to indicate a sensor including abnormal sensor data, and the abnormal sensor data is used to indicate that the sensor data does not fall within a normal value range, and the sensors include at least two types, each type of sensor includes sensor data of a corresponding type, and each sensor includes a corresponding monitoring area; Based on the type and monitoring area of ​​each abnormal sensor, send instruction information to the corresponding type of environmental purification equipment, wherein the instruction information is used to instruct the environmental purification equipment corresponding to the monitoring area to perform purification processing, and the environmental purification equipment has at least two types; In response to the sensor data corresponding to the at least one abnormal sensor being restored to within a normal value range, log information is generated and uploaded, where the log information is used to record changes in the sensor data corresponding to the abnormal sensor and the indication information.

2. The method according to claim 1, characterized in that The sensor comprises: Temperature sensors for monitoring indoor temperature, formaldehyde monitoring sensors for monitoring indoor formaldehyde, humidity sensors for monitoring indoor humidity, smoke sensors for monitoring indoor fires, carbon monoxide sensors, and dust sensors; The sensor data includes: The temperature value corresponding to the temperature sensor, the formaldehyde concentration value corresponding to the formaldehyde detection sensor, the humidity value corresponding to the humidity sensor, the smoke concentration value corresponding to the smoke sensor, the carbon monoxide concentration value corresponding to the carbon monoxide sensor, and the dust concentration value corresponding to the dust sensor.

3. The method according to claim 2, characterized in that The environmental purification equipment comprises: Air conditioning equipment used to adjust indoor temperature and humidity; Ventilation equipment and air purification modules for adjusting indoor formaldehyde concentration; Humidification module for adjusting indoor humidity; A fire fighting module for adjusting indoor smoke concentration, carbon monoxide concentration and dust concentration, wherein the fire fighting module comprises a spraying fire extinguishing module and a power-off protection module.

4. The method according to claim 1, characterized in that: The step of determining, in response to receiving sensor data for monitoring an indoor environment, the presence of abnormal sensor data and the corresponding at least one abnormal sensor comprises: In response to receiving sensor data for monitoring an indoor environment, determining a normal value range threshold corresponding to the sensor data based on a sensor type corresponding to the sensor data; If the sensor data is not within the normal value range threshold, the sensor data is determined to be abnormal sensor data, and the sensor corresponding to the abnormal sensor data is determined to be an abnormal sensor.

5. The method according to any one of claims 1 to 4, characterized in that After sending the instruction information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, the method further includes: If the sensor data of at least one abnormal sensor is still abnormal sensor data when the time length after the indication information is issued reaches the set time length, the abnormal sensor is determined as a dangerous sensor; Generate alarm information of the hazard sensor.

6. The method according to claim 5, characterized in that Each sensor also contains a corresponding range of dangerous values; After sending the instruction information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, the method further includes: If it is determined that the sensor data of the abnormal sensor belongs to the dangerous value range, the abnormal sensor is determined to be a dangerous sensor; Generate alarm information of the hazard sensor.

7. The method according to claim 6, characterized in that The sensor also includes a camera sensor; The generating of the alarm information of the danger sensor comprises: Based on the monitoring area corresponding to the danger sensor, determining the camera sensor data corresponding to the monitoring area; The warning information is generated based on the sensor data of the danger sensor, the sensor type and the imaging sensor data.

8. An indoor environment maintenance device, characterized in that: include: A monitoring module, configured to, in response to receiving sensor data for monitoring an indoor environment, determine abnormal sensor data in the sensor data and at least one corresponding abnormal sensor, wherein the abnormal sensor is used to indicate a sensor including abnormal sensor data, and the abnormal sensor data is used to indicate that the sensor data does not fall within a normal value range, and the sensors include at least two types, each type of sensor includes sensor data of a corresponding type, and each sensor includes a corresponding monitoring area; A purification module, used for sending instruction information to the corresponding type of environmental purification equipment based on the type and monitoring area of ​​each abnormal sensor, wherein the instruction information is used to instruct the environmental purification equipment corresponding to the monitoring area to perform purification processing, and the environmental purification equipment has at least two types; The output module is used to generate and upload log information in response to the sensor data corresponding to the at least one abnormal sensor returning to within a normal value range, wherein the log information is used to record changes in the sensor data corresponding to the abnormal sensor and the indication information.

9. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

11. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 7 when being executed by a processor.

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