A monitoring method and monitoring system for Internet of Things devices

Abstract

The present invention discloses a monitoring method and a monitoring system for Internet of Things equipment, and relates to the technical field of equipment monitoring. The monitoring method of the present invention comprises: equipment acquisition, monitoring analysis, equipment monitoring, data analysis and monitoring feedback. The monitoring frequency of the equipment is confirmed according to the use of the equipment and the use of the equipment in each historical monitoring cycle, and the type of each sensor is confirmed according to environmental data. In the monitoring process of each sensor, the collection state and transmission state of each sensor are detected. At the same time, according to the collection data of each sensor, the running state of the equipment is analyzed, and the intelligent selection of sensors and the intelligent setting of monitoring frequency in the early stage of equipment monitoring are realized, so as to ensure the adaptability of the sensor to the environment, and at the same time, ensure the suitability of the equipment monitoring frequency, and increase the sensor collection effect and transmission speed, so as to ensure the effect and efficiency of equipment monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring, and in particular to a monitoring method and a monitoring system for an Internet of Things equipment. Background Art

[0002] When monitoring equipment, sensors are one of the core components of the database of the equipment monitoring system. However, the choice of sensors varies depending on the environment in which the equipment is located. At the same time, the frequency of sensor detection varies for equipment in different states. In addition, during the sensor monitoring process, the collection and transmission conditions of the sensors are monitored to ensure the accuracy of sensor detection and the smoothness of transmission. Therefore, in order to improve the monitoring effect of the equipment, it is necessary to analyze the selection of sensors, detection frequency, collection conditions and transmission conditions.

[0003] Traditional equipment monitoring focuses on analyzing the status of equipment based on the data collected and transmitted by sensors. The selection of sensors and the setting of sensor detection frequency in the early stage of equipment monitoring are mostly determined manually based on experience. Obviously, this confirmation method has at least the following shortcomings: 1. Different types of sensors are adapted to different environments, and sensors selected manually based on experience cannot guarantee the compatibility of sensors with the operating environment, thereby failing to guarantee the normal operation of subsequent sensors, and failing to reduce the scrap rate and replacement costs of sensors, resulting in poor equipment monitoring results.

[0004] 2. The usage of the equipment affects the monitoring frequency of the equipment. Different personnel have different work experience and set different monitoring frequencies for the equipment, which cannot guarantee the scientificity and objectivity of the equipment monitoring frequency. Too low a monitoring frequency may lead to untimely collection of equipment operating parameters and failure to quickly prompt when the equipment is abnormal. Too high a monitoring frequency can easily increase the operating pressure of the monitoring system and sensors, causing the monitoring system to run slowly, while increasing the loss of sensors and the cost of equipment monitoring, while failing to improve the monitoring effect of the equipment.

[0005] 3. The delay in sensor data collection and the accuracy of the collected data reflect the operating status of the sensor. Traditional technology mainly uses the data collected by the sensor, but ignores the monitoring of the sensor itself. It cannot guarantee the timeliness and accuracy of sensor data collection, which affects the efficiency of equipment monitoring. In addition, the sensor needs to transmit the collected data to the database of the equipment monitoring system through the Internet of Things, but the traditional technology lacks transmission monitoring of the sensor, and cannot understand the data transmission status of the sensor, so it is impossible to perform targeted network maintenance on the sensor, which affects the speed of sensor data transmission and leads to slow equipment monitoring efficiency. Summary of the invention

[0006] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a monitoring method and a monitoring system for an Internet of Things device.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a monitoring method for an Internet of Things device, comprising the following steps: Step 1, device acquisition: obtaining a historical record list of the device, and obtaining the environmental data of the device during the monitoring period.

[0008] Step 2: Monitoring and analysis: Obtain the replacement date of the equipment and the dates of each maintenance after replacement from the equipment's historical record list, analyze the monitoring frequency of the equipment during the monitoring cycle, obtain the equipment's environmental data, the initial type of each sensor, and the replacement status in each historical monitoring cycle from the equipment's historical record list, and analyze the type of each sensor of the equipment during the monitoring cycle based on the equipment's environmental data during the monitoring cycle.

[0009] Step 3: Equipment monitoring: Select the type of sensors in the equipment during the monitoring cycle and install each sensor in the equipment. Each sensor collects data according to the monitoring frequency, obtains the corresponding data collected by each sensor each time, and records the collection time of each sensor, which is then transmitted to the equipment monitoring platform through the Internet of Things.

[0010] Step 4, data analysis: The equipment monitoring platform receives the collection data and collection time corresponding to each sensor in each collection, and records the reception time of the equipment monitoring platform receiving the collection data corresponding to each sensor in each collection as the reception time of each sensor in each collection, and analyzes the collection status and transmission status of each sensor. If the collection status of each sensor is normal, then analyze the corresponding operating status of the equipment in each collection according to the collection data corresponding to each sensor in each collection.

[0011] Step 5: Monitoring feedback: When the collection status of a sensor is abnormal, the transmission status is abnormal, or the operation status of the device corresponding to a certain collection is abnormal, abnormal status feedback is performed.

[0012] Preferably, the monitoring frequency of the analysis device in the monitoring cycle, the specific analysis process is as follows: S211, the duration of the equipment replacement date and the start time of the monitoring cycle is taken as the usage time of the equipment, and according to the dates of each maintenance after the equipment is replaced, the interval between each maintenance of the equipment is obtained, and the average interval duration of the maintenance frequency after the equipment is replaced is obtained by mean calculation, as the maintenance cycle after the equipment is replaced; the usage time, maintenance cycle, monitoring frequency and maintenance standby time of the equipment in each historical monitoring cycle are obtained from the historical record list of the equipment.

[0013] S212, comparing the usage time and maintenance period of the equipment with the usage time and maintenance period of each historical monitoring period respectively; if the usage time and maintenance period of the equipment are respectively the same as the usage time and maintenance period of a certain historical monitoring period, then taking the historical monitoring period as the reference monitoring period;

[0014] S213. If the usage time and maintenance cycle of the equipment are not the same as the usage time and maintenance cycle of each historical monitoring cycle, then calculate the state similarity between the equipment monitoring cycle and each historical monitoring cycle, and select each historical monitoring cycle whose state similarity is greater than the set state similarity threshold as each reference monitoring cycle, so as to obtain each reference monitoring cycle by statistics.

[0015] S214, extracting the maintenance standby time corresponding to each reference monitoring cycle, selecting the reference monitoring cycle corresponding to the minimum maintenance standby time as the target monitoring cycle, and using the monitoring frequency corresponding to the target monitoring cycle as the monitoring frequency of the device in the monitoring cycle.

[0016] Preferably, the state similarity between the device monitoring cycle and each historical monitoring cycle is calculated, and the specific calculation process is as follows: the device usage time and the usage time of each historical monitoring cycle are calculated by difference, and the minimum difference is selected as the minimum usage time difference of the device, which is recorded as ΔT1 min Similarly, the maintenance cycle of the equipment is calculated by the difference between the maintenance cycle of each historical monitoring cycle, and the minimum difference is selected as the minimum maintenance cycle of the equipment, recorded as ΔT2 min .

[0017] The usage time and maintenance period of the equipment are marked as T1 and T2 respectively, and the usage time and maintenance period of each historical monitoring period are marked as T1 respectively. y and T2 y , y represents the number of each historical monitoring period, y=1,2,......,q, q is any integer greater than 2, through the state similarity expression: Get the state similarity δ between the device monitoring cycle and the yth historical monitoring cycle y , where e represents a natural constant.

[0018] Preferably, the analysis device analyzes the type of sensors in the monitoring cycle, and the specific analysis process is as follows: S221, compare the environmental data corresponding to the monitoring cycle with the environmental data in each historical monitoring cycle. If the environmental data corresponding to the monitoring cycle is the same as the environmental data in a historical monitoring cycle, then the historical monitoring cycle is used as an associated monitoring cycle. If the environmental data corresponding to the monitoring cycle is different from the environmental data in each historical monitoring cycle, then analyze the environmental similarity between the monitoring cycle and each historical monitoring cycle, and use each historical monitoring cycle whose environmental similarity is greater than the set environmental similarity as each associated monitoring cycle, thereby obtaining each associated monitoring cycle.

[0019] S222. Obtain the initial type and replacement status of each sensor in each associated monitoring cycle, and count the replacement status and initial type of each sensor in each associated monitoring cycle. If the replacement status of a sensor in a certain associated monitoring cycle is not replaced, then use the associated monitoring cycle as the reference monitoring cycle of the sensor, and extract the environmental similarity between the monitoring cycle and each reference monitoring cycle corresponding to the sensor, select the reference monitoring cycle with the greatest environmental similarity as the final monitoring cycle of the sensor, and use the initial type of the sensor corresponding to the final monitoring cycle as the type of the sensor of the device in the monitoring cycle.

[0020] S223. If the replacement status of a certain sensor in each associated monitoring cycle is the replaced status, then the replacement dates and types of the sensor after each replacement in each associated monitoring cycle are extracted from the historical record list to obtain the usage time of each type of the sensor in each associated monitoring cycle, and select the type corresponding to the maximum usage time as the type of the sensor of the device in the monitoring cycle.

[0021] S224. According to the analysis process of steps S222-S223, the type of each sensor of the device in the monitoring cycle is obtained.

[0022] Preferably, the analysis of the collection status of each sensor is specifically carried out as follows: based on the monitoring frequency of the device in the monitoring cycle, the estimated collection time of each collection of each sensor in the device is obtained, and the time difference between the estimated collection time and the collection time of each collection of each sensor is used as the collection delay duration of each collection of each sensor, and at the same time, the collection data of each collection of each sensor in the monitoring cycle is extracted, and the data volatility of each collection of each sensor is analyzed.

[0023] The type of each sensor in the monitoring cycle is compared with the type of each sensor in each associated monitoring cycle. If the type of a sensor in the monitoring cycle is the same as the type of the sensor in a certain associated monitoring cycle, the associated monitoring cycle is used as the control monitoring cycle of the sensor in the monitoring cycle, so as to obtain each control monitoring cycle of each sensor, and extract the acquisition delay time of each sensor collected in each control monitoring cycle, select the maximum acquisition delay time as the allowed delay time of each sensor, and extract the acquisition data collected by each sensor in each control monitoring cycle, and analyze the data reference volatility of each sensor;

[0024] The collection delay time of each sensor is compared with the permitted delay time, and the data volatility of each sensor is compared with the data reference volatility. If the collection delay time of a sensor is greater than or equal to the permitted delay time, or the data volatility of the sensor is greater than or equal to the data reference volatility, it indicates that the collection state of the sensor is abnormal. If the collection delay time of a sensor is less than the permitted delay time, and the data volatility of the sensor is less than the data reference volatility, it indicates that the collection state of the sensor is normal. The collection state of each sensor is obtained by analysis.

[0025] Preferably, the analysis of the transmission status of each sensor is specifically performed as follows: the time difference between the acquisition time and the receiving time of each acquisition of each sensor is used as the data transmission duration of each acquisition of each sensor, and marked as ST ij , i represents the number corresponding to each sensor, i=1,2,......,n, j represents the number corresponding to each acquisition, j=1,2,......,m, n, m are any integers greater than 2.

[0026] Obtain the data transmission duration of each sensor collected during each control monitoring period, and calculate the average historical data transmission duration ST corresponding to each sensor by averaging. i ′, and calculate the data transmission time of each sensor collected in each control monitoring period by difference, and select the maximum difference as the permitted data transmission time difference of each sensor, recorded as ΔST i ′.

[0027] Based on the transmission stationary value expression:

[0028] Get the transmission stability value of the i-th sensor In the formula, ST i(j-1) It represents the data transmission time of the jth data collected by the i-th sensor, σ1 and σ2 are the weight factor of the set data transmission time and the weight factor of the data transmission time difference, respectively, and m represents the total number of collections.

[0029] The transmission stability value of each sensor is compared with the set transmission stability value threshold. If the transmission stability value of a sensor is less than the set transmission stability value threshold, it indicates that the transmission state of the sensor is abnormal. Otherwise, it indicates that the transmission state of the sensor is normal. The transmission state of each sensor is obtained by analysis.

[0030] Preferably, the analysis device analyzes the operating status corresponding to each collection, and the specific analysis process is as follows: extracting the data safety interval of each sensor in the device from the database, and comparing the collected data collected by each sensor at each time with the data safety interval. If the collected data collected by a certain sensor at a certain time is not within the data safety interval, it indicates that the operating status of the device at each collection is abnormal. If the collected data collected by each sensor at a certain time are all within the data safety interval, it indicates that the operating status of the device at each collection is normal.

[0031] In a second aspect, the present invention provides a monitoring system for an Internet of Things device, comprising the following modules: a device acquisition module, for acquiring a historical record list of a device, and acquiring environmental data of the device during a monitoring period.

[0032] The monitoring and analysis module is used to obtain the replacement date of the equipment and the dates of each maintenance after replacement from the equipment's historical record list, analyze the monitoring frequency of the equipment in the monitoring cycle, obtain the environmental data of the equipment in each historical monitoring cycle, the initial type of each sensor, and the replacement status from the equipment's historical record list, and analyze the type of each sensor of the equipment in the monitoring cycle based on the environmental data of the equipment in the monitoring cycle.

[0033] The equipment monitoring module is used to select the type of each sensor of the equipment during the monitoring cycle and install each sensor in the equipment. Each sensor collects data according to the monitoring frequency, obtains the corresponding collection data of each sensor at each collection, and records the collection time of each sensor, which is transmitted to the equipment monitoring platform through the Internet of Things.

[0034] The data analysis module is used for the equipment monitoring platform to receive the collection data and collection time corresponding to each sensor in each collection, and record the reception time of the equipment monitoring platform receiving the collection data corresponding to each sensor in each collection as the reception time of each sensor in each collection, and analyze the collection status and transmission status of each sensor. If the collection status of each sensor is normal, the corresponding operating status of the equipment in each collection is analyzed according to the collection data corresponding to each sensor in each collection.

[0035] The monitoring feedback module is used to provide abnormal status feedback when the collection status of a sensor is abnormal, the transmission status is abnormal, or the running status of the device corresponding to a certain collection is abnormal.

[0036] The beneficial effects of the present invention are: 1. The present invention provides a monitoring method and a monitoring system for Internet of Things devices, which confirm the monitoring frequency of the device according to the usage of the device and the usage of the device in each historical monitoring cycle, and confirm the type of each sensor according to the environmental data. During the monitoring process of each sensor, the collection status and transmission status of each sensor are detected. At the same time, according to the collection data of each sensor, the operation status of the device is analyzed, and the intelligent selection of sensors and the intelligent setting of monitoring frequency in the early stage of device monitoring are realized, ensuring the adaptability of the sensor to the environment, while ensuring the suitability of the equipment monitoring frequency, and increasing the sensor collection effect and transmission speed, to ensure the effect and efficiency of equipment monitoring.

[0037] 2. The present invention utilizes the monitoring records of the equipment in each historical monitoring cycle in the monitoring analysis, selects the monitoring frequency with the shortest maintenance standby time, improves the rationality of the monitoring frequency, reduces the operating pressure of the database and sensors of the equipment monitoring system, and ensures timely detection of equipment abnormalities, reduces the downtime of the equipment, and ensures the smooth operation of the equipment.

[0038] 3. In the monitoring and analysis, the present invention analyzes the models of each sensor and the environment adaptation according to the monitoring records of the equipment in each historical monitoring cycle, wherein the historical monitoring records are equivalent to experimental data, so that the selection of sensor type is more convincing and scientific, and the loss of sensors during the equipment monitoring process is reduced to ensure the smoothness of sensor operation.

[0039] 4. The present invention records the collection and transmission conditions of each sensor during data analysis, analyzes the collection status and transmission status of each sensor, ensures the timeliness and transmission speed of sensor collection, ensures the stability of sensor operation, and provides accurate data reference for subsequent equipment operation status analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0042] Figure 2 It is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] See also Figure 1 As shown, in the first aspect, the present invention provides a monitoring method for an Internet of Things device, comprising the following steps: Step 1, device acquisition: obtaining a historical record list of the device, and obtaining environmental data of the device during the monitoring period.

[0045] It should be noted that all data generated by the equipment history monitoring is recorded in a history record list, and the history record list is stored in a database of the equipment monitoring system.

[0046] It should also be noted that the environmental data includes environmental temperature, environmental humidity, etc. The environmental temperature can be collected by a temperature sensor, and the environmental humidity can be collected by a humidity sensor.

[0047] Step 2: Monitoring and analysis: Obtain the replacement date of the equipment and the dates of each maintenance after replacement from the equipment's historical record list, analyze the monitoring frequency of the equipment during the monitoring cycle, obtain the equipment's environmental data, the initial type of each sensor, and the replacement status in each historical monitoring cycle from the equipment's historical record list, and analyze the type of each sensor of the equipment during the monitoring cycle based on the equipment's environmental data during the monitoring cycle.

[0048] It should be noted that the replacement date of the equipment is the date of the last replacement of the equipment, and the dates of each maintenance after replacement are the dates of each maintenance after the last replacement.

[0049] It should also be noted that different devices may select different sensors. For example, when the device is an electrical device, the sensors include voltage sensors, current sensors, etc. The voltage sensor types include varistor sensors and capacitive voltage sensors, etc. The current sensor types include capacitive voltage sensors and semiconductor temperature sensors, etc.

[0050] In a specific embodiment, the monitoring frequency of the analysis device in the monitoring cycle is analyzed as follows: S211. The duration of the device replacement date and the start time of the monitoring cycle is used as the device usage time, and the interval between each maintenance of the device is obtained according to the date of each maintenance after the device is replaced. By average calculation, the average interval between the maintenance frequencies after the device is replaced is obtained as the maintenance cycle after the device is replaced; the usage time, maintenance cycle, monitoring frequency and maintenance standby time of the device in each historical monitoring cycle are obtained from the device's historical record list.

[0051] It should be noted that the maintenance standby time refers to the time between the shutdown of equipment after failure and the start of maintenance.

[0052] S212, comparing the usage time and maintenance period of the equipment with the usage time and maintenance period of each historical monitoring period respectively; if the usage time and maintenance period of the equipment are respectively the same as the usage time and maintenance period of a certain historical monitoring period, then taking the historical monitoring period as the reference monitoring period;

[0053] S213. If the usage time and maintenance cycle of the equipment are not the same as the usage time and maintenance cycle of each historical monitoring cycle, then calculate the state similarity between the equipment monitoring cycle and each historical monitoring cycle, and select each historical monitoring cycle whose state similarity is greater than the set state similarity threshold as each reference monitoring cycle, so as to obtain each reference monitoring cycle by statistics.

[0054] It should be noted that the status similarity threshold is set by professionals.

[0055] In the above, the state similarity between the device monitoring cycle and each historical monitoring cycle is calculated. The specific calculation process is as follows: the device usage time and the usage time of each historical monitoring cycle are calculated by difference, and the minimum difference is selected as the minimum usage time difference of the device, recorded as ΔT1 min Similarly, the maintenance cycle of the equipment is calculated by the difference between the maintenance cycle of each historical monitoring cycle, and the minimum difference is selected as the minimum maintenance cycle of the equipment, recorded as ΔT2 min .

[0056] The usage time and maintenance period of the equipment are marked as T1 and T2 respectively, and the usage time and maintenance period of each historical monitoring period are marked as T1 respectively. y and T2 y , y represents the number of each historical monitoring period, y=1,2,......,q, q is any integer greater than 2, through the state similarity expression: Get the state similarity δ between the device monitoring cycle and the yth historical monitoring cycle y, where e represents a natural constant.

[0057] S214, extracting the maintenance standby time corresponding to each reference monitoring cycle, selecting the reference monitoring cycle corresponding to the minimum maintenance standby time as the target monitoring cycle, and using the monitoring frequency corresponding to the target monitoring cycle as the monitoring frequency of the device in the monitoring cycle.

[0058] The present invention utilizes the monitoring records of the equipment in each historical monitoring cycle in the monitoring analysis, selects the monitoring frequency with the shortest maintenance standby time, improves the rationality of the monitoring frequency, reduces the operating pressure of the equipment monitoring system and sensors, and can also ensure timely detection of equipment abnormalities, reduce the equipment downtime, and ensure the smooth operation of the equipment.

[0059] In another specific embodiment, the analysis device analyzes the types of sensors in the monitoring cycle, and the specific analysis process is as follows: S221. Compare the environmental data corresponding to the monitoring cycle with the environmental data in each historical monitoring cycle. If the environmental data corresponding to the monitoring cycle is the same as the environmental data in a historical monitoring cycle, then the historical monitoring cycle is used as an associated monitoring cycle. If the environmental data corresponding to the monitoring cycle is different from the environmental data in each historical monitoring cycle, then analyze the environmental similarity between the monitoring cycle and each historical monitoring cycle, and use each historical monitoring cycle whose environmental similarity is greater than the set environmental similarity threshold as each associated monitoring cycle, thereby obtaining each associated monitoring cycle.

[0060] It should be noted that the environmental data corresponding to the monitoring period and the environmental data in each historical monitoring period are denoted as H and H respectively. y , according to the calculation formula Get the environmental similarity α between the monitoring period and the yth historical monitoring period y ; The environmental similarity threshold is set by professionals.

[0061] S222. Obtain the initial type and replacement status of each sensor in each associated monitoring cycle, and count the replacement status and initial type of each sensor in each associated monitoring cycle. If the replacement status of a sensor in a certain associated monitoring cycle is not replaced, then use the associated monitoring cycle as the reference monitoring cycle of the sensor, and extract the environmental similarity between the monitoring cycle and each reference monitoring cycle corresponding to the sensor, select the reference monitoring cycle with the greatest environmental similarity as the final monitoring cycle of the sensor, and use the initial type of the sensor corresponding to the final monitoring cycle as the type of the sensor of the device in the monitoring cycle.

[0062] S223. If the replacement status of a certain sensor in each associated monitoring cycle is the replaced status, then the replacement dates and types of the sensor after each replacement in each associated monitoring cycle are extracted from the historical record list to obtain the usage time of each type of the sensor in each associated monitoring cycle, and select the type corresponding to the maximum usage time as the type of the sensor of the device in the monitoring cycle.

[0063] S224. According to the analysis process of steps S222-S223, the type of each sensor of the device in the monitoring cycle is obtained.

[0064] In the monitoring and analysis, the present invention analyzes the models of each sensor and the environment adaptation according to the monitoring records of the equipment in each historical monitoring cycle, wherein the historical monitoring records are equivalent to experimental data, so that the selection of sensor type is more convincing and scientific, the loss of sensors in the equipment monitoring process is reduced, and the smoothness of sensor operation is ensured.

[0065] Step 3: Equipment monitoring: Select the type of each sensor in the equipment during the monitoring cycle, and install each sensor in the equipment. Each sensor collects data according to the monitoring frequency, obtains the corresponding collected data of each sensor at each collection, and records the collection time of each sensor, and transmits it to the database of the equipment monitoring system through the Internet of Things.

[0066] Step 4, data analysis: The database of the equipment monitoring system receives the corresponding collection data and collection time of each sensor at each collection, and records the reception time of the corresponding collection data of each sensor at each collection by the database of the equipment monitoring system as the reception time of each collection of each sensor, and analyzes the collection status and transmission status of each sensor. If the collection status of each sensor is normal, then analyze the corresponding operating status of the equipment at each collection according to the corresponding collection data of each sensor at each collection.

[0067] In a specific embodiment, the analysis of the collection status of each sensor is carried out as follows: based on the monitoring frequency of the device in the monitoring cycle, the estimated collection time of each collection of each sensor in the device is obtained, and the time difference between the estimated collection time and the collection time of each sensor is used as the collection delay duration of each collection of each sensor. At the same time, the collection data of each collection of each sensor in the monitoring cycle is extracted, and the data volatility of each collection of each sensor is analyzed.

[0068] It should be noted that the data collected by each sensor each time is recorded as SW ij , i represents the number corresponding to each sensor, i = 1, 2, ..., n, j represents the number corresponding to each acquisition, j = 1, 2, ..., m, n, m are any integer greater than 2, through the calculation formula Get the data fluctuation rate κ collected by the i-th sensor for the jth time ij , where SW i ( j-1 ) represents the data collected by the i-th sensor for the j-1th time.

[0069] The type of each sensor in the monitoring cycle is compared with the type of each sensor in each associated monitoring cycle. If the type of a sensor in the monitoring cycle is the same as the type of the sensor in an associated monitoring cycle, the associated monitoring cycle is used as the control monitoring cycle of the sensor in the monitoring cycle, so as to obtain each control monitoring cycle of each sensor, and extract the acquisition delay time of each sensor collected in each control monitoring cycle, select the maximum acquisition delay time as the allowed delay time of each sensor, and extract the acquisition data collected by each sensor in each control monitoring cycle, and analyze the data reference volatility of each sensor.

[0070] It should be noted that the collection delay duration of each sensor in each comparison monitoring period and the collection data collected by each sensor in each comparison monitoring period are extracted from the historical record list.

[0071] It should also be noted that the data reference volatility of each sensor is analyzed, and the specific analysis process is as follows: the collected data of each sensor in each control monitoring period are compared with each other, and the minimum collected data and the maximum collected data in each control monitoring period are selected as the permitted minimum collected data and the permitted maximum collected data of each sensor in each control monitoring period, respectively; the permitted maximum collected data of each sensor in each control monitoring period is subtracted from the permitted minimum collected data, and then divided by the permitted maximum collected data to obtain the data reference volatility of each sensor in each control monitoring period; the average data reference volatility of each sensor is obtained by mean calculation as the data reference volatility of each sensor.

[0072] The collection delay time of each sensor is compared with the permitted delay time, and the data volatility of each sensor is compared with the data reference volatility. If the collection delay time of a sensor is greater than or equal to the permitted delay time, or the data volatility of the sensor is greater than or equal to the data reference volatility, it indicates that the collection state of the sensor is abnormal. If the collection delay time of a sensor is less than the permitted delay time, and the data volatility of the sensor is less than the data reference volatility, it indicates that the collection state of the sensor is normal. The collection state of each sensor is obtained by analysis.

[0073] In another specific embodiment, the transmission status of each sensor is analyzed, and the specific analysis process is as follows: the time difference between the acquisition time and the receiving time of each sensor is used as the data transmission duration of each sensor, and marked as ST ij .

[0074] Obtain the data transmission duration of each sensor collected during each control monitoring period, and calculate the average historical data transmission duration ST corresponding to each sensor by averaging. i ′, and calculate the data transmission time of each sensor collected in each control monitoring period by difference, and select the maximum difference as the permitted data transmission time difference of each sensor, recorded as ΔST i ′.

[0075] It should be noted that the data transmission duration collected by each sensor in each comparison monitoring period is extracted from the historical record list.

[0076] Based on the transmission stationary value expression:

[0077] Get the transmission stability value of the i-th sensor In the formula, ST i(j-1) It represents the data transmission time of the jth data collected by the i-th sensor, σ1 and σ2 are the weight factor of the set data transmission time and the weight factor of the data transmission time difference, respectively, and m represents the total number of collections.

[0078] It should be noted that the maintenance type corresponding to each network maintenance of each sensor is obtained from the historical record list, where the maintenance types include delayed maintenance and fluctuating maintenance. The number of delayed maintenance and fluctuating maintenance in the network maintenance is counted, and the number of delayed maintenance is divided by the sum of the number of delayed maintenance and the number of fluctuating maintenance to obtain the weight factor of the data transmission duration. The number of fluctuating maintenance is divided by the sum of the number of delayed maintenance and the number of fluctuating maintenance to obtain the weight factor of the data transmission duration difference.

[0079] The transmission stability value of each sensor is compared with the set transmission stability value threshold. If the transmission stability value of a sensor is less than the set transmission stability value threshold, it indicates that the transmission state of the sensor is abnormal. Otherwise, it indicates that the transmission state of the sensor is normal. The transmission state of each sensor is obtained by analysis.

[0080] It should be noted that the transmission stability value corresponding to each network maintenance of each sensor is obtained from the historical record list, and the average transmission stability value is obtained by average calculation as the transmission stability value threshold.

[0081] The present invention records the collection and transmission conditions of each sensor during data analysis, analyzes the collection status and transmission status of each sensor, ensures the timeliness and transmission speed of sensor collection, guarantees the stability of sensor operation, and provides accurate data reference for subsequent equipment operation status analysis.

[0082] In another specific embodiment, the analysis device analyzes the operating status corresponding to each collection, and the specific analysis process is as follows: extracting the data safety interval of each sensor in the device from the database, comparing the collected data collected by each sensor at each time with the data safety interval, if the collected data collected by a certain sensor at a certain time is not within the data safety interval, it indicates that the operating status of the device at each collection is abnormal; if the collected data collected by each sensor at a certain time are all within the data safety interval, it indicates that the operating status of the device at each collection is normal.

[0083] Step 5: Monitoring feedback: When the collection status of a sensor is abnormal, the transmission status is abnormal, or the operation status of the device corresponding to a certain collection is abnormal, abnormal status feedback is performed.

[0084] See also Figure 2 As shown, in the second aspect, the present invention provides a monitoring system for an Internet of Things device, comprising the following modules: a device acquisition module 、 Monitoring and analysis module 、 Equipment monitoring module 、 Data Analysis Module 、 Monitor feedback modules and databases.

[0085] The device acquisition module is used to obtain the device's historical record list and obtain the device's environmental data during the monitoring cycle.

[0086] The monitoring and analysis module is used to obtain the replacement date of the equipment and the dates of each maintenance after replacement from the equipment's historical record list, analyze the monitoring frequency of the equipment in the monitoring cycle, obtain the environmental data of the equipment in each historical monitoring cycle, the initial type of each sensor, and the replacement status from the equipment's historical record list, and analyze the type of each sensor of the equipment in the monitoring cycle based on the environmental data of the equipment in the monitoring cycle.

[0087] The equipment monitoring module is used to select the type of each sensor of the equipment during the monitoring cycle and install each sensor in the equipment. Each sensor collects data according to the monitoring frequency, obtains the corresponding collection data of each sensor at each collection, and records the collection time of each sensor, which is transmitted to the equipment monitoring platform through the Internet of Things.

[0088] The data analysis module is used for the equipment monitoring platform to receive the collection data and collection time corresponding to each sensor in each collection, and record the reception time of the equipment monitoring platform receiving the collection data corresponding to each sensor in each collection as the reception time of each sensor in each collection, and analyze the collection status and transmission status of each sensor. If the collection status of each sensor is normal, the corresponding operating status of the equipment in each collection is analyzed according to the collection data corresponding to each sensor in each collection.

[0089] The monitoring feedback module is used to provide abnormal status feedback when the collection status of a sensor is abnormal, the transmission status is abnormal, or the running status of the device corresponding to a certain collection is abnormal.

[0090] The database is used to store the historical record list of the device and the data security interval of each sensor in the device.

[0091] The embodiment of the present invention confirms the monitoring frequency of the equipment according to the usage of the equipment and the usage of the equipment in each historical monitoring cycle, and confirms the type of each sensor according to the environmental data. During the monitoring process of each sensor, the collection status and transmission status of each sensor are detected. At the same time, the operating status of the equipment is analyzed according to the collection data of each sensor, thereby realizing the intelligent selection of sensors and the intelligent setting of the monitoring frequency in the early stage of equipment monitoring, ensuring the adaptability of the sensor to the environment, ensuring the suitability of the equipment monitoring frequency, and increasing the sensor collection effect and transmission speed, thereby ensuring the effect and efficiency of equipment monitoring.

[0092] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A monitoring method for an Internet of Things device, characterized in that: The steps include: Step 1: Device acquisition: Get the device history list and get the device environment data during the monitoring period; Step 2: Monitoring and analysis: Obtain the replacement date of the equipment and the dates of each maintenance after replacement from the equipment's historical record list, analyze the monitoring frequency of the equipment in the monitoring cycle, obtain the equipment's environmental data, the initial type of each sensor, and the replacement status in each historical monitoring cycle from the equipment's historical record list, and analyze the type of each sensor of the equipment in the monitoring cycle based on the equipment's environmental data in the monitoring cycle; Step 3, equipment monitoring: select the type of each sensor in the monitoring cycle of the equipment, and install each sensor in the equipment. Each sensor collects data according to the monitoring frequency, obtains the corresponding collected data of each sensor in each collection, and records the collection time of each sensor, and transmits it to the database of the equipment monitoring system through the Internet of Things; Step 4, data analysis: The database of the equipment monitoring system receives the corresponding data and collection time of each sensor in each collection, and records the reception time of the corresponding data collected by each sensor in the database of the equipment monitoring system as the reception time of each collection of each sensor, and analyzes the collection status and transmission status of each sensor. If the collection status of each sensor is normal, the corresponding operation status of the equipment in each collection is analyzed according to the corresponding collection data of each sensor in each collection; Step 5: Monitoring feedback: When the collection status of a sensor is abnormal, the transmission status is abnormal, or the operation status of the device corresponding to a certain collection is abnormal, abnormal status feedback is performed.

2. The monitoring method of an Internet of Things device according to claim 1, characterized in that: The monitoring frequency of the analysis device in the monitoring cycle, the specific analysis process is as follows: S211. The duration between the replacement date of the equipment and the start time of the monitoring cycle is taken as the usage duration of the equipment, and the interval duration between each maintenance of the equipment is obtained according to the date of each maintenance after the equipment is replaced. The average interval duration of the maintenance frequency after the equipment is replaced is obtained by average calculation as the maintenance cycle after the equipment is replaced; the usage duration, maintenance cycle, monitoring frequency and maintenance standby duration of the equipment in each historical monitoring cycle are obtained from the historical record list of the equipment; S212, comparing the usage time and maintenance period of the equipment with the usage time and maintenance period of each historical monitoring period respectively; if the usage time and maintenance period of the equipment are respectively the same as the usage time and maintenance period of a certain historical monitoring period, then taking the historical monitoring period as the reference monitoring period; S213. If the usage time and maintenance period of the device are not the same as the usage time and maintenance period of each historical monitoring period, respectively, then the state similarity between the device monitoring period and each historical monitoring period is calculated, and each historical monitoring period whose state similarity is greater than the set state similarity threshold is selected as each reference monitoring period, and each reference monitoring period is obtained by statistics; S214, extracting the maintenance standby time corresponding to each reference monitoring cycle, selecting the reference monitoring cycle corresponding to the minimum maintenance standby time as the target monitoring cycle, and using the monitoring frequency corresponding to the target monitoring cycle as the monitoring frequency of the device in the monitoring cycle.

3. The monitoring method of an Internet of Things device according to claim 2, characterized in that: The state similarity between the computing device monitoring cycle and each historical monitoring cycle is calculated as follows: Calculate the difference between the device's usage time and the usage time of each historical monitoring cycle, and select the minimum difference as the minimum usage time difference of the device, recorded as ΔT1 min Similarly, the maintenance cycle of the equipment is calculated by the difference between the maintenance cycle of each historical monitoring cycle, and the minimum difference is selected as the minimum maintenance cycle of the equipment, recorded as ΔT2 min ; The usage time and maintenance period of the equipment are marked as T1 and T2 respectively, and the usage time and maintenance period of each historical monitoring period are marked as T1 respectively. y and T2 y , y represents the number of each historical monitoring period, y=1,2,......,q, q is any integer greater than 2, through the state similarity expression: Get the state similarity δ between the device monitoring cycle and the yth historical monitoring cycle y , where e represents a natural constant.

4. The monitoring method of an Internet of Things device according to claim 1, characterized in that: The analysis device analyzes the types of sensors in the monitoring cycle, and the specific analysis process is as follows: S221, comparing the environmental data corresponding to the monitoring period with the environmental data in each historical monitoring period, if the environmental data corresponding to the monitoring period is the same as the environmental data in a certain historical monitoring period, then the historical monitoring period is used as the associated monitoring period, if the environmental data corresponding to the monitoring period is different from the environmental data in each historical monitoring period, then analyzing the environmental similarity between the monitoring period and each historical monitoring period, and taking each historical monitoring period whose environmental similarity is greater than the set environmental similarity threshold as each associated monitoring period, thereby obtaining each associated monitoring period; S222, obtaining the initial type and replacement status of each sensor in each associated monitoring cycle, counting the replacement status and initial type of each sensor in each associated monitoring cycle, if the replacement status of a sensor in a certain associated monitoring cycle is not replaced, then the associated monitoring cycle is used as the reference monitoring cycle of the sensor, and the environmental similarity between the monitoring cycle and each reference monitoring cycle corresponding to the sensor is extracted, and the reference monitoring cycle with the largest environmental similarity is selected as the final monitoring cycle of the sensor, and the initial type of the sensor corresponding to the final monitoring cycle is used as the type of the sensor of the device in the monitoring cycle; S223. If the replacement status of a sensor in each associated monitoring period is the replaced status, extract the replacement dates and types of the sensor after each replacement in each associated monitoring period from the historical record list, so as to obtain the usage time of each type of the sensor in each associated monitoring period, and select the type corresponding to the maximum usage time as the type of the sensor of the device in the monitoring period; S224. According to the analysis process of steps S222-S223, the type of each sensor of the device in the monitoring cycle is obtained.

5. The monitoring method of an Internet of Things device according to claim 4, characterized in that: The specific analysis process of analyzing the acquisition status of each sensor is as follows: Based on the monitoring frequency of the device in the monitoring cycle, the estimated collection time of each sensor in the device is obtained, and the time difference between the estimated collection time and the collection time of each sensor is used as the collection delay time of each sensor. At the same time, the collection data collected by each sensor in the monitoring cycle is extracted, and the data fluctuation rate of each sensor is analyzed. The type of each sensor in the monitoring cycle is compared with the type of each sensor in each associated monitoring cycle. If the type of a sensor in the monitoring cycle is the same as the type of the sensor in a certain associated monitoring cycle, the associated monitoring cycle is used as the control monitoring cycle of the sensor in the monitoring cycle, so as to obtain each control monitoring cycle of each sensor, and extract the acquisition delay time of each sensor collected in each control monitoring cycle, select the maximum acquisition delay time as the allowed delay time of each sensor, and extract the acquisition data collected by each sensor in each control monitoring cycle, and analyze the data reference volatility of each sensor; The collection delay time of each sensor is compared with the permitted delay time, and the data volatility of each sensor is compared with the data reference volatility. If the collection delay time of a sensor is greater than or equal to the permitted delay time, or the data volatility of the sensor is greater than or equal to the data reference volatility, it indicates that the collection state of the sensor is abnormal. If the collection delay time of a sensor is less than the permitted delay time, and the data volatility of the sensor is less than the data reference volatility, it indicates that the collection state of the sensor is normal. The collection state of each sensor is obtained by analysis.

6. The method for monitoring an Internet of Things device according to claim 1, characterized in that: The specific analysis process of analyzing the transmission status of each sensor is as follows: The time difference between the acquisition time and the receiving time of each sensor is used as the data transmission duration of each sensor, and is marked as ST ij , i represents the number corresponding to each sensor, i=1,2,......,n, j represents the number corresponding to each acquisition, j=1,2,......,m, n, m are any integer greater than 2; Obtain the data transmission duration of each sensor collected in each control monitoring period, and calculate the average historical data transmission duration ST corresponding to each sensor by averaging. i ′, and calculate the data transmission time of each sensor collected in each control monitoring period by difference, and select the maximum difference as the permitted data transmission time difference of each sensor, recorded as ΔST i ′; Based on the transmission stationary value expression: Get the transmission stability value of the i-th sensor In the formula, ST i(j-1) represents the data transmission duration of the jth collection of the i-th sensor, σ1 and σ2 are the weight factor of the set data transmission duration and the weight factor of the data transmission duration difference, respectively, and m represents the total number of collections; The transmission stability value of each sensor is compared with the set transmission stability value threshold. If the transmission stability value of a sensor is less than the set transmission stability value threshold, it indicates that the transmission state of the sensor is abnormal. Otherwise, it indicates that the transmission state of the sensor is normal. The transmission state of each sensor is obtained by analysis.

7. The method for monitoring an Internet of Things device according to claim 1, characterized in that: The analysis device is in the operating state corresponding to each collection, and the specific analysis process is as follows: The data safety interval of each sensor in the device is extracted from the database, and the collected data collected by each sensor at each time is compared with the data safety interval. If the collected data collected by a certain sensor at a certain time is not within the data safety interval, it indicates that the operating status of the device at each collection is abnormal. If the collected data collected by each sensor at a certain time are all within the data safety interval, it indicates that the operating status of the device at each collection is normal.

8. A monitoring system using the monitoring method for an Internet of Things device according to any one of claims 1 to 7, characterized in that: Includes the following modules: The device acquisition module is used to obtain the device's historical record list and obtain the device's environmental data during the monitoring cycle; The monitoring and analysis module is used to obtain the replacement date of the equipment and the dates of each maintenance after replacement from the historical record list of the equipment, analyze the monitoring frequency of the equipment in the monitoring cycle, obtain the environmental data of the equipment in each historical monitoring cycle, the initial type of each sensor, and the replacement status from the historical record list of the equipment, and analyze the type of each sensor of the equipment in the monitoring cycle according to the environmental data of the equipment in the monitoring cycle; The equipment monitoring module is used to select the type of each sensor of the equipment in the monitoring cycle and install each sensor in the equipment. Each sensor collects data according to the monitoring frequency, obtains the corresponding collected data of each sensor in each collection, and records the collection time of each sensor, which is transmitted to the database of the equipment monitoring system through the Internet of Things; The data analysis module is used for the database of the equipment monitoring system to receive the collected data and the collection time corresponding to each collection of each sensor, and record the reception time of the database of the equipment monitoring system receiving the collected data corresponding to each collection of each sensor as the reception time of each collection of each sensor, analyze the collection state and transmission state of each sensor, and if the collection state of each sensor is normal, analyze the operation state of the equipment corresponding to each collection according to the collected data corresponding to each collection of each sensor; The monitoring feedback module is used to provide abnormal status feedback when the collection status of a sensor is abnormal, the transmission status is abnormal, or the running status of the device corresponding to a certain collection is abnormal.

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