CN112187946A - Internet of things sensing equipment evaluation system and method - Google Patents

Internet of things sensing equipment evaluation system and method Download PDF

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CN112187946A
CN112187946A CN202011069311.5A CN202011069311A CN112187946A CN 112187946 A CN112187946 A CN 112187946A CN 202011069311 A CN202011069311 A CN 202011069311A CN 112187946 A CN112187946 A CN 112187946A
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sensing
data
equipment
evaluation
internet
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CN112187946B (en
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高树国
岳国良
王振刚
张克谦
顾超敏
高方玉
郑鹏超
郭哲
马俊朋
赵建豪
曹向勇
贺晓宇
高安洁
蔡光柱
赵爽
魏雷
贾晓峰
高艳海
王伟
张逸娲
于洪亮
赵睿
杨振
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Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
Beijing Guowang Fuda Technology Development Co Ltd
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Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
Beijing Guowang Fuda Technology Development Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D18/00Testing or calibrating apparatus or arrangements provided for in groups G01D1/00 - G01D15/00
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/20Analytics; Diagnosis

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Abstract

The embodiment of the specification provides an Internet of things sensing equipment evaluation system and method. The Internet of things sensing equipment evaluation system comprises sink node equipment, access node equipment and evaluation equipment. The sink node equipment is used for receiving sensing data of the sensing equipment based on a preset communication protocol and submitting the sensing data to the access node equipment; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things; the access node equipment is used for screening the perception data by using a threshold screening condition and transmitting the screened perception data to the evaluation equipment; and the evaluation equipment is used for inputting the screened perception data into a sensing equipment evaluation model to obtain an evaluation result. The system evaluates the perception data in various aspects such as communication protocols, thresholds and the like, and ensures normal communication of the sensing equipment accessed to the Internet of things.

Description

Internet of things sensing equipment evaluation system and method
Technical Field
The embodiment of the specification relates to the technical field of sensors, in particular to a system and a method for evaluating sensing equipment of the Internet of things.
Background
With the rapid development of the technology of the internet of things, the application requirements for state monitoring of various devices in the internet of things are gradually increased. For example, in the field of the internet of things of power transmission and transformation equipment, various sensing equipment is utilized to realize the collection of key state data such as transformers, GIS equipment, capacitive equipment and environmental power in the state monitoring of the power transmission and transformation equipment, and then the comprehensive monitoring of the internet of things of power transmission and transformation can be realized through the collected state data.
In practical application, when the internet of things equipment is connected to the network, the requirements of the internet of things related network access protocols need to be met, for example, multiple different requirements exist in the field of the internet of things of the power transmission and transformation equipment, such as a micropower wireless network communication protocol of the internet of things of the power transmission and transformation equipment, a wireless networking protocol of node equipment of the internet of things of the power transmission and transformation equipment, a sensor data communication protocol of the internet of things of the power transmission and transformation equipment, and the like. Due to the fact that network access protocols are various, standards applied by different manufacturers when different types of sensing equipment are produced are not completely the same, communication faults occur when different sensing equipment applied to the internet of things equipment are connected to the same network, and accuracy of state data acquired by all the sensing equipment cannot be guaranteed. Therefore, a method for accurately evaluating the communication function of the sensing device in the environment of the internet of things is needed.
Disclosure of Invention
An object of an embodiment of the present specification is to provide an evaluation system and an evaluation method for sensing equipment of an internet of things, so as to solve a problem how to ensure normal operation of sensing equipment in the equipment of the internet of things.
In order to solve the above technical problem, an embodiment of the present specification provides an evaluation system for a sensing device of the internet of things, including a sink node device, an access node device, and an evaluation device; the sink node equipment is used for receiving sensing data of the sensing equipment based on a preset communication protocol and submitting the sensing data to the access node equipment; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things; the access node equipment is used for screening the perception data by using a threshold screening condition and transmitting the screened perception data to the evaluation equipment; and the evaluation equipment is used for inputting the screened perception data into a sensing equipment evaluation model to obtain an evaluation result.
Besides the above system for evaluating sensing equipment of the internet of things, an embodiment of the present specification further provides a method for evaluating a sensor, including:
receiving sensing data of the sensing equipment based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things;
and submitting the sensing data to access node equipment so that the access node equipment screens the sensing data and then transmits the screened sensing data to evaluation equipment, and then the evaluation equipment inputs the screened sensing data into a sensing equipment evaluation model to obtain an evaluation result.
An embodiment of the present specification further provides a sensor evaluation method, including:
receiving sensing data submitted by sink node equipment; the sensing data comprises data of the sensing equipment received by the sink node equipment based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things;
screening the perception data by using a threshold screening condition;
and transmitting the screened sensing data to an evaluation device so that the evaluation device inputs the screened sensing data into a sensing device evaluation model to obtain an evaluation result.
An embodiment of the present specification further provides a sensor evaluation method, including:
receiving the screened sensing data transmitted by the access node equipment; the screened sensing data comprises data obtained by screening sensing data by using a threshold screening condition after an access node device obtains the sensing data of a sink node device receiving the sensing device based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things;
inputting the screened sensing data into a sensing equipment evaluation model to obtain an evaluation result;
and evaluating the sensing equipment according to the evaluation result.
As can be seen from the technical solutions provided in the embodiments of the present specification, the sink node device obtains the sensing data of the sensing device based on the preset communication protocol, the access node device may screen the sensing data by using the threshold screening condition after receiving the sensing data, and finally the evaluation device may obtain the evaluation result corresponding to the screened sensing data by using the sensing device evaluation model. The evaluation system of the sensing equipment of the Internet of things not only evaluates the sensing equipment in the aspects of communication protocols, sensing data distribution ranges and the like, but also marginalizes the evaluation of the sensing equipment, reduces evaluation pressure, improves evaluation efficiency and ensures that the communication function of the sensing equipment accessed to the Internet of things is normal.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the specification, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a structural diagram of an evaluation system of sensing equipment of the internet of things according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for evaluating a sensing device of the internet of things according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of an evaluation system of a sensing device of the internet of things according to an embodiment of the present disclosure;
fig. 4 is a flowchart illustrating an evaluation method for a sensing device of the internet of things according to an embodiment of the present disclosure;
fig. 5 is a flowchart of a method for evaluating a sensing device of the internet of things according to an embodiment of the present disclosure;
fig. 6 is a flowchart of a method for evaluating internet of things sensing equipment according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present specification without any creative effort shall fall within the protection scope of the present specification.
A sensor is a detection device that can sense measured information and convert the sensed information into an electrical signal or other form of signal for transmission. In particular, the sensor may be composed of, for example, a sensing element, a conversion circuit, and an auxiliary power supply. The sensitive element can sense the relevant state information of the measured object, such as sound, light, electricity, heat and other information, and generate a corresponding state quantity signal according to the sensing result; the conversion element can convert the state quantity signal into an electric signal; the conversion circuit can amplify and modulate the electric signal output by the conversion element, so that the quality of the electric signal is improved; the auxiliary power supply is used for supplying components to other components. By receiving the electric signals output by the sensor, the receiving party can measure the information sensed by the sensor through the electric signals, and further determine the information such as the state and the physics of the equipment measured by the sensor.
The internet of things is a network which connects various networks according to an agreed protocol through sensing equipment to exchange and communicate information so as to realize intelligent identification, positioning, tracking, monitoring and management. From the logical structure, the internet of things can be roughly composed of 3 layers of a sensing layer, a network layer and an application layer, the sensing layer at the bottom layer is mainly realized through a sensor network, object information is collected and controlled by means of RFID, sensors and the like, and information of a group of sensors is collected through the sensor network and is transmitted to a core network. The network layer is mainly composed of the existing basic network and is used for interconnecting objects. The available basic networks of the internet of things can be various, and can be a public communication network, an industry private network or even a newly-built communication network special for the internet of things according to the application requirement. The application layer at the higher layer is mainly responsible for processing information, decision support and business application services.
In an embodiment of the present specification, the sensing device may be a sensor for accessing the internet of things. When the device is connected to the internet of things, the connected device needs to meet the requirements of different protocols. Different communication protocols may exist in different fields and corresponding to different devices, and therefore, different manufacturers may produce the sensing devices by using different standards, so that the sensing devices accessing the same network have a large difference, and even normal communication cannot be realized, and further, the acquired data lacks accuracy. Therefore, in order to ensure the accuracy of the measurement data of the sensing device, the sensing device accessing to the internet of things needs to be evaluated, and whether to apply the corresponding sensing device is determined according to the evaluation result.
In order to solve the above technical problem, an embodiment of the present specification first provides an internet of things sensing device evaluation system 100. As shown in fig. 1, the internet of things sensing device evaluation system 100 includes an aggregation node device 110, an access node device 120, and an evaluation device 130.
In order to evaluate the sensing device, it is necessary to acquire the sensing data output by the sensing device. In embodiments of the present description, the sensing device may be utilized to collect sensory data corresponding to the testing device as data for evaluating the sensor.
The test device may be a specific device, or may be a test environment including a plurality of devices. The test device may be configured with reference to a scene in which the sensing device actually needs to be applied, for example, the test device may be a substation device that simulates an actual situation. In addition, the test device is not limited to the device in the simulation test scenario, and may also be a device in an actual production environment, for example, a substation device in which the sensing device is directly applied may be used as the test device. It should be noted that, in order to ensure that the evaluation result is not interfered by the abnormality of the test equipment itself, when the equipment in the actual production environment is directly used as the test equipment, it is necessary to ensure that the equipment in the actual production environment is in a normal working state.
The sensing data is data measured by the sensing equipment. For example, when the sensing device is applied to a test device such as a power transmission tower, if the sensing device is a temperature sensor, the sensing device generates a corresponding electrical signal based on the temperature of the power transmission tower, and a temperature value at the position where the sensing device is arranged in the power transmission tower can be determined according to a signal value corresponding to the electrical signal, so that the corresponding sensing data can be an electrical signal value representing the strength of a measured signal.
In some embodiments, the perception data may include at least one of: measuring device physical data, measuring device status data and environmental data.
The measuring device physical data may be data of the measuring device itself corresponding to certain physical parameters, for example, the measuring device physical data may be temperature data, deformation degree data, vibration frequency data, etc. of the measuring device itself. The physical data of the measuring equipment can be used for measuring the state of the measuring equipment.
The measuring device status data may be status data of the measuring device relative to the external environment or an external reference object, for example, the measuring device status data may be a tilt angle of the measuring device relative to the ground, or position data of the measuring device relative to a reference object, and the like. The state data of the measuring equipment can be used for measuring the change condition of the measuring equipment compared with the external environment.
The environment data may be data corresponding to an environment in which the sensing device is located, for example, when the measuring device is a transformer, the environment may be a substation in which the transformer is located, and the environment data may be humidity data, temperature data, light intensity data, and the like of the substation.
Of course, the sensing data in practical application is not limited to the above example, and other types of data may be determined according to the data type of the data acquired by the applied sensor, which is not limited to this.
The sink node device is connected with the sensing device, so as to receive the sensing data collected by the sensing device. The aggregation node device may further be connected to the access node device, and configured to transmit the received sensing data of the sensing device to the access node device.
The sink node device is corresponding to a preset communication protocol. The preset communication protocol indicates rules that must be followed for communication or service between the sink node device and the sensor device, such as rules defining the content of communication and the manner of communication. The preset communication protocol requires that the sensing devices connected with the sink node device have the same communication protocol, so that normal communication between the devices is ensured.
In some embodiments, the sink node device may perform data interaction with the to-be-detected sensing device by using a network communication protocol. For example using a micropower wireless communication protocol. The micropower is relative to the transmitting power of wireless communication equipment such as a television signal tower, GSM, CDMA, PHS and the like, the transmitting power of a common mobile phone is 2W, the transmitting power of a GSM base station is more than 10W, and the transmitting power of the television tower is larger. The transmit power of a micropower wireless communication device is typically under 50 mW.
In some embodiments, when the sensing device connected to the sink node device does not have the preset communication protocol, it indicates that the sink node device cannot perform normal communication with the sensing device, and may send the identifier of the sensing device to the evaluation device as the identifier of the abnormal sensing device. And the sensing equipment indicated by the abnormal sensing equipment identification cannot normally access the corresponding Internet of things to realize communication.
After the sink node device communicates with the sensing device based on a preset communication protocol to obtain sensing data, the sensing data can be transmitted to the access node device.
The access node device is a device connected to the sink node device and the evaluation device, respectively. The access node equipment can be used as an edge node, preliminarily screens the acquired sensing data, and sends the screened data to the evaluation equipment.
When the sensing device itself is abnormal, a certain deviation exists between the data output by the sensing device and the data output by the normal sensor, or a certain deviation appears between the change trend of the sensing data and the normal situation. Thus, after determining the normal range of data output by the sensor and the normal range of data variation, the sensing device may be evaluated by analyzing the data output by the sensing device to determine whether an abnormality has occurred in the sensor. Therefore, the access node device may further screen the sensing data by using a threshold screening condition before sending the sensing data to the evaluation device.
In some embodiments, the threshold screening condition includes a distribution range of the sensing data, and the distribution range of the sensing data is used for indicating a range in which normal sensing data is located, so that the sensing data is screened by using the distribution range of the sensing data.
The above embodiment is described by using a specific example, for the sensing data of temperature, a normal distribution range of the sensing data may be preset to be 0-40 ℃, and when the temperature fed back by a certain temperature sensing device is not in this range, for example, the temperature fed back by the temperature sensing device is 60 ℃, the temperature sensing device may be abnormal, and the measured sensing data cannot be transmitted to the evaluation device as normal sensing data for analysis, so that the sensing data which does not meet the requirement may be filtered according to the distribution range of the sensing data, and the filtered sensing data is not transmitted to the evaluation device.
In some embodiments, when the access node device uses the threshold screening condition to screen sensing data, if sensing data that does not conform to the sensing data distribution range is detected, the identifier of the sensing device corresponding to the sensing data that does not conform to the sensing data distribution range may be fed back to the evaluation device as an abnormal sensing identifier, so that preliminary evaluation of the sensing device at the access node device is achieved, and alarm processing is performed on the corresponding abnormal sensing device.
The evaluation device is internally and previously provided with a sensing device evaluation model, and the sensing data can be analyzed through the sensing device evaluation model to obtain a corresponding evaluation result. The evaluation device may be a computer device, and specifically, the evaluation device includes, but is not limited to, a server, an industrial personal computer, a PC, and other computer devices.
In some embodiments, the sensor device evaluation model may be a threshold evaluation criterion, that is, the sensor device evaluation model includes at least one threshold and a data distribution range corresponding to the threshold. When the sensing data is acquired, the sensing data can be compared with a corresponding threshold value, and whether the sensing data meets the threshold value evaluation standard or not is judged according to a comparison result and a data distribution range corresponding to the threshold value. And if the perception data do not meet the threshold evaluation standard, evaluating the sensing equipment corresponding to the perception data as an abnormal sensor.
It should be noted that, in the above embodiment, when the access node device has a function of screening the sensing data according to a sensing data distribution range, if a range defined by a threshold in the threshold evaluation criterion is greater than or equal to a range determined by the sensing data distribution range, the evaluation device may omit a manner of determining the sensing data by using the threshold evaluation criterion when evaluating the sensor, and instead analyze the sensing data by using another manner, thereby saving corresponding time and resources.
In some embodiments, the sensing device evaluation model may further include a trend change rule, and the trend change rule may be a standard corresponding to a change trend of the sensing data collected by a normal sensing device. Specifically, after receiving the perception data, the evaluation device may draw a corresponding perception data change curve according to the perception data, and obtain a corresponding curve value and a corresponding curve slope according to the perception data change curve. The trend change rule can include a curve value and a curve slope corresponding to normal sensing data, so that the curve value and the curve slope of the normal sensing data are compared, and sensing equipment corresponding to sensing data to be detected which do not accord with the trend change standard is evaluated as an abnormal sensor.
The above embodiment is explained by using a specific example, a sensor for measuring the inclination angle of the transmission tower with respect to the horizontal plane is provided on the transmission tower, i.e., the sensor outputs the sensing data as the inclination degree of the transmission tower. The power transmission tower does not generally have a continuous change in the tilt angle, and the tilt angle of the power transmission tower is generally restored after a slight change even under the influence of factors such as wind force and ground vibration. Therefore, if the sensing data output by the sensor shows that the inclination angle of the power transmission tower shows a trend of change, the sensing data may not meet the actual situation, and the sensing equipment corresponding to the sensing data can be evaluated as an abnormal sensor.
In some embodiments, the sensing device evaluation model can only further include reference perception data and a preset difference ratio. The reference sensing data comprises sensing data acquired by the reference sensing equipment. The reference sensor can be a sensor which normally works in practical application and outputs normal sensing data, and can also be a sensor which is artificially simulated and can output standard sensing data. The reference sensor is capable of generating reference sensory data. The reference sensing data can be used for reflecting sensing data generated by a sensor in normal operation in a corresponding working environment. The preset difference proportion is used for representing the maximum range of the difference between the sensing data collected by the normal sensing equipment and the reference sensing data.
And comparing the screened sensing data with the reference sensing data, and if the difference degree between the screened sensing data and the reference sensing data is greater than a preset difference proportion, evaluating the sensing equipment corresponding to the screened sensing data as abnormal sensing equipment.
Based on the sensor device evaluation model in this embodiment, after obtaining the sensing data of the sensor device, first, the reference sensor corresponding to the sensor device is determined, and the reference sensing data of the reference sensor is obtained. Comparing the reference sensing data with the sensing data, and if the difference degree between the sensing data and the reference sensing data is not greater than a preset difference proportion, indicating that the sensing data is normal data and the corresponding sensing equipment is not abnormal; and if the difference degree between the perception data and the reference perception data is larger than a preset difference proportion, evaluating the sensing equipment corresponding to the perception data as an abnormal sensor.
The specific method for determining the degree of difference between the sensing data and the reference sensing data may be, for example, calculating euclidean distances or performing cluster analysis on the data to determine the degree of difference, which is not described herein again.
In some embodiments, after determining that the sensing device corresponding to the sensing data is an abnormal sensing device, the evaluation device may obtain an abnormal sensing device identifier of the abnormal sensing device, generate early warning information according to the abnormal sensing device identifier, and send the early warning information to a user, so as to remind the user that the sensing device corresponding to the abnormal sensing device identifier may be abnormal, thereby implementing an alarm for the abnormal sensing device.
Correspondingly, after receiving the abnormal sensing device identifier fed back by the sink node device or the access node device, the evaluation device may also generate corresponding early warning information according to the abnormal sensing device identifier to warn the user.
In some embodiments, the evaluation device may further send debugging information to the sensing device, and debug the sensing device through the debugging information.
The debugging information may be used to adjust the working state of the sensing device, for example, when the change of the sensing data corresponding to the sensing device is frequent and the sending frequency of the sensing device itself is low, the sensing data may not accurately reflect the state of the sensing device, but directly evaluating the sensing device as an abnormal sensing device may cause the evaluation result to lack accuracy. Therefore, debugging information can be sent to the sensing device to improve the detection frequency of perception data, so that the sensing device can be further evaluated.
It should be noted that different devices connected in the internet of things sensing device evaluation system may be physically connected, for example, a signal line may be connected between the sensor and the sink node device in advance, and the sensing data is sent to the data transmission module through the signal line; the different connected devices may also be connected in a wireless transmission manner, for example, a signal transmission element is disposed on the sensing device, the sensing data is sent to the sink node device in a wireless transmission manner such as electromagnetic waves, and correspondingly, a corresponding signal receiving element may be disposed on the sink node device, and the sensing data transmitted wirelessly is received by the signal receiving element. Of course, the way of transmitting data in practical applications is not limited to the above examples.
The structure of the Internet of things sensing equipment evaluation system is described by using a specific scene example. As shown in fig. 3, in a certain internet of things sensing device evaluation system, a sink node device is connected to a plurality of sensing devices respectively, and receives sensing data generated by the sensing devices respectively by using the same set communication protocol; the access node equipment can be connected with a plurality of aggregation nodes to aggregate the perception data submitted by the corresponding aggregation node equipment; after the access node equipment acquires the sensing data, the sensing data is primarily screened, the evaluation equipment is used by the site, and finally the evaluation result is acquired by the evaluation equipment based on the sensing data, so that the evaluation of the sensing equipment is realized.
In summary, according to the description of the embodiment of the system for evaluating the internet of things sensor devices and the description of the scene example, in the embodiment of the present disclosure, the sink node device obtains the sensing data of the sensor devices based on the preset communication protocol, the access node device may screen the sensing data by using the threshold screening condition after receiving the sensing data, and finally, the evaluation device may obtain the evaluation result corresponding to the screened sensing data by using the sensor device evaluation model. The evaluation system of the sensing equipment of the Internet of things not only evaluates the sensing equipment in the aspects of communication protocols, sensing data distribution ranges and the like, but also marginalizes the evaluation of the sensing equipment, reduces evaluation pressure, improves evaluation efficiency and ensures that the communication function of the sensing equipment accessed to the Internet of things is normal.
Based on the internet of things sensing equipment evaluation system, the embodiment of the specification further provides a sensor evaluation method. As shown in fig. 2, the sensor evaluation method includes the following steps.
S210: and the sink node equipment receives the sensing data sent by the sensing equipment based on a preset communication protocol.
The test device may be a specific device, or may be a test environment including a plurality of devices. The test device may be configured with reference to a scene in which the sensing device actually needs to be applied, for example, the test device may be a substation device that simulates an actual situation. In addition, the test device is not limited to the device in the simulation test scenario, and may also be a device in an actual production environment, for example, a substation device in which the sensing device is directly applied may be used as the test device. It should be noted that, in order to ensure that the evaluation result is not interfered by the abnormality of the test equipment itself, when the equipment in the actual production environment is directly used as the test equipment, it is necessary to ensure that the equipment in the actual production environment is in a normal working state.
The sensing data is data measured by the sensing equipment. For example, when the sensing device is applied to a test device such as a power transmission tower, if the sensing device is a temperature sensor, the sensing device generates a corresponding electrical signal based on the temperature of the power transmission tower, and a temperature value at the position where the sensing device is arranged in the power transmission tower can be determined according to a signal value corresponding to the electrical signal, so that the corresponding sensing data can be an electrical signal value representing the strength of a measured signal.
In some embodiments, the perception data may include at least one of: measuring device physical data, measuring device status data and environmental data.
The measuring device physical data may be data of the measuring device itself corresponding to certain physical parameters, for example, the measuring device physical data may be temperature data, deformation degree data, vibration frequency data, etc. of the measuring device itself. The physical data of the measuring equipment can be used for measuring the state of the measuring equipment.
The measuring device status data may be status data of the measuring device relative to the external environment or an external reference object, for example, the measuring device status data may be a tilt angle of the measuring device relative to the ground, or position data of the measuring device relative to a reference object, and the like. The state data of the measuring equipment can be used for measuring the change condition of the measuring equipment compared with the external environment.
The environment data may be data corresponding to an environment in which the sensing device is located, for example, when the measuring device is a transformer, the environment may be a substation in which the transformer is located, and the environment data may be humidity data, temperature data, light intensity data, and the like of the substation.
Of course, the sensing data in practical application is not limited to the above example, and other types of data may be determined according to the data type of the data acquired by the applied sensor, which is not limited to this.
The sink node device is connected with the sensing device, so as to receive the sensing data collected by the sensing device. The aggregation node device may further be connected to the access node device, and configured to transmit the received sensing data of the sensing device to the access node device.
The sink node device is corresponding to a preset communication protocol. The preset communication protocol indicates rules that must be followed for communication or service between the sink node device and the sensor device, such as rules defining the content of communication and the manner of communication. The preset communication protocol requires that the sensing devices connected with the sink node device have the same communication protocol, so that normal communication between the devices is ensured.
In some embodiments, the sink node device may perform data interaction with the to-be-detected sensing device by using a network communication protocol. For example using a micropower wireless communication protocol. The micropower is relative to the transmitting power of wireless communication equipment such as a television signal tower, GSM, CDMA, PHS and the like, the transmitting power of a common mobile phone is 2W, the transmitting power of a GSM base station is more than 10W, and the transmitting power of the television tower is larger. The transmit power of a micropower wireless communication device is typically under 50 mW.
In some embodiments, when the sensing device connected to the sink node device does not have the preset communication protocol, it indicates that the sink node device cannot perform normal communication with the sensing device, and may send the identifier of the sensing device to the evaluation device as the identifier of the abnormal sensing device. And the sensing equipment indicated by the abnormal sensing equipment identification cannot normally access the corresponding Internet of things to realize communication.
S220: and the sink node equipment sends the sensing data to the access node equipment.
After the sink node device communicates with the sensing device based on a preset communication protocol to obtain sensing data, the sensing data can be transmitted to the access node device.
The access node device is a device connected to the sink node device and the evaluation device, respectively. The access node equipment can be used as an edge node, preliminarily screens the acquired sensing data, and sends the screened data to the evaluation equipment.
Specifically, the sink node device and the access node device may be directly connected by a data line, so as to implement wired data transmission; the sink node device can also transmit data to the access node device via the internet, avoiding the cumbersome steps of additional wiring. Of course, in practical applications, the manner in which the sink node device sends data to the access node device is not limited to the above example.
S230: and the access node equipment screens the sensing data by using a threshold screening condition.
When the sensing device itself is abnormal, a certain deviation exists between the data output by the sensing device and the data output by the normal sensor, or a certain deviation appears between the change trend of the sensing data and the normal situation. Thus, after determining the normal range of data output by the sensor and the normal range of data variation, the sensing device may be evaluated by analyzing the data output by the sensing device to determine whether an abnormality has occurred in the sensor. Therefore, the access node device may further screen the sensing data by using a threshold screening condition before sending the sensing data to the evaluation device.
In some embodiments, the threshold screening condition includes a distribution range of the sensing data, and the distribution range of the sensing data is used for indicating a range in which normal sensing data is located, so that the sensing data is screened by using the distribution range of the sensing data.
The above embodiment is described by using a specific example, for the sensing data of temperature, a normal distribution range of the sensing data may be preset to be 0-40 ℃, and when the temperature fed back by a certain temperature sensing device is not in this range, for example, the temperature fed back by the temperature sensing device is 60 ℃, the temperature sensing device may be abnormal, and the measured sensing data cannot be transmitted to the evaluation device as normal sensing data for analysis, so that the sensing data which does not meet the requirement may be filtered according to the distribution range of the sensing data, and the filtered sensing data is not transmitted to the evaluation device.
In some embodiments, when the access node device uses the threshold screening condition to screen sensing data, if sensing data that does not conform to the sensing data distribution range is detected, the identifier of the sensing device corresponding to the sensing data that does not conform to the sensing data distribution range may be fed back to the evaluation device as an abnormal sensing identifier, so that preliminary evaluation of the sensing device at the access node device is achieved, and alarm processing is performed on the corresponding abnormal sensing device.
S240: and the access node equipment sends the screened sensing data to the evaluation equipment.
The evaluation device is internally and previously provided with a sensing device evaluation model, and the sensing data can be analyzed through the sensing device evaluation model to obtain a corresponding evaluation result. The evaluation device may be a computer device, and specifically, the evaluation device includes, but is not limited to, a server, an industrial personal computer, a PC, and other computer devices.
Correspondingly, the evaluation equipment and the access node equipment can be directly connected through a data line, so that wired data transmission is realized; the access node device may also transmit data to the evaluation device via the internet, avoiding the cumbersome steps of additional wiring. Of course, the way for the access node device to send data to the evaluation device in practical application is not limited to the above example.
S250: and the evaluation equipment inputs the screened sensing data into a sensing equipment evaluation model to obtain an evaluation result.
In some embodiments, the sensor device evaluation model may be a threshold evaluation criterion, that is, the sensor device evaluation model includes at least one threshold and a data distribution range corresponding to the threshold. When the sensing data is acquired, the sensing data can be compared with a corresponding threshold value, and whether the sensing data meets the threshold value evaluation standard or not is judged according to a comparison result and a data distribution range corresponding to the threshold value. And if the perception data do not meet the threshold evaluation standard, evaluating the sensing equipment corresponding to the perception data as an abnormal sensor.
It should be noted that, in the above embodiment, when the access node device has a function of screening the sensing data according to a sensing data distribution range, if a range defined by a threshold in the threshold evaluation criterion is greater than or equal to a range determined by the sensing data distribution range, the evaluation device may omit a manner of determining the sensing data by using the threshold evaluation criterion when evaluating the sensor, and instead analyze the sensing data by using another manner, thereby saving corresponding time and resources.
In some embodiments, the sensing device evaluation model may further include a trend change rule, and the trend change rule may be a standard corresponding to a change trend of the sensing data collected by a normal sensing device. Specifically, after receiving the perception data, the evaluation device may draw a corresponding perception data change curve according to the perception data, and obtain a corresponding curve value and a corresponding curve slope according to the perception data change curve. The trend change rule can include a curve value and a curve slope corresponding to normal sensing data, so that the curve value and the curve slope of the normal sensing data are compared, and sensing equipment corresponding to sensing data to be detected which do not accord with the trend change standard is evaluated as an abnormal sensor.
The above embodiment is explained by using a specific example, a sensor for measuring the inclination angle of the transmission tower with respect to the horizontal plane is provided on the transmission tower, i.e., the sensor outputs the sensing data as the inclination degree of the transmission tower. The power transmission tower does not generally have a continuous change in the tilt angle, and the tilt angle of the power transmission tower is generally restored after a slight change even under the influence of factors such as wind force and ground vibration. Therefore, if the sensing data output by the sensor shows that the inclination angle of the power transmission tower shows a trend of change, the sensing data may not meet the actual situation, and the sensing equipment corresponding to the sensing data can be evaluated as an abnormal sensor.
In some embodiments, the sensing device evaluation model can only further include reference perception data and a preset difference ratio. The reference sensing data comprises sensing data acquired by the reference sensing equipment. The reference sensor can be a sensor which normally works in practical application and outputs normal sensing data, and can also be a sensor which is artificially simulated and can output standard sensing data. The reference sensor is capable of generating reference sensory data. The reference sensing data can be used for reflecting sensing data generated by a sensor in normal operation in a corresponding working environment. The preset difference proportion is used for representing the maximum range of the difference between the sensing data collected by the normal sensing equipment and the reference sensing data.
And comparing the screened sensing data with the reference sensing data, and if the difference degree between the screened sensing data and the reference sensing data is greater than a preset difference proportion, evaluating the sensing equipment corresponding to the screened sensing data as abnormal sensing equipment.
Based on the sensor device evaluation model in this embodiment, after obtaining the sensing data of the sensor device, first, the reference sensor corresponding to the sensor device is determined, and the reference sensing data of the reference sensor is obtained. Comparing the reference sensing data with the sensing data, and if the difference degree between the sensing data and the reference sensing data is not greater than a preset difference proportion, indicating that the sensing data is normal data and the corresponding sensing equipment is not abnormal; and if the difference degree between the perception data and the reference perception data is larger than a preset difference proportion, evaluating the sensing equipment corresponding to the perception data as an abnormal sensor.
The specific method for determining the degree of difference between the sensing data and the reference sensing data may be, for example, calculating euclidean distances or performing cluster analysis on the data to determine the degree of difference, which is not described herein again.
In some embodiments, after determining that the sensing device corresponding to the sensing data is an abnormal sensing device, the evaluation device may obtain an abnormal sensing device identifier of the abnormal sensing device, generate early warning information according to the abnormal sensing device identifier, and send the early warning information to a user, so as to remind the user that the sensing device corresponding to the abnormal sensing device identifier may be abnormal, thereby implementing an alarm for the abnormal sensing device.
Correspondingly, after receiving the abnormal sensing device identifier fed back by the sink node device or the access node device, the evaluation device may also generate corresponding early warning information according to the abnormal sensing device identifier to warn the user.
In some embodiments, the evaluation device may further send debugging information to the sensing device, and debug the sensing device through the debugging information.
The debugging information may be used to adjust the working state of the sensing device, for example, when the change of the sensing data corresponding to the sensing device is frequent and the sending frequency of the sensing device itself is low, the sensing data may not accurately reflect the state of the sensing device, but directly evaluating the sensing device as an abnormal sensing device may cause the evaluation result to lack accuracy. Therefore, debugging information can be sent to the sensing device to improve the detection frequency of perception data, so that the sensing device can be further evaluated.
In the embodiments of the present description, the sink node device obtains the sensing data of the sensing device based on a preset communication protocol, the access node device may screen the sensing data by using a threshold screening condition after receiving the sensing data, and finally the evaluation device may obtain an evaluation result corresponding to the screened sensing data by using a sensing device evaluation model. The evaluation system of the sensing equipment of the Internet of things not only evaluates the sensing equipment in the aspects of communication protocols, sensing data distribution ranges and the like, but also marginalizes the evaluation of the sensing equipment, reduces evaluation pressure, improves evaluation efficiency and ensures that the communication function of the sensing equipment accessed to the Internet of things is normal.
Based on the method for evaluating the sensing equipment of the internet of things corresponding to fig. 2, an embodiment of the present specification further provides a method for evaluating the sensing equipment of the internet of things. As shown in fig. 4, an execution subject of the method for evaluating the internet of things sensing device is sink node device, and the method for evaluating the internet of things sensing device specifically includes the following steps.
S410: receiving sensing data of the sensing equipment based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement that the sensing equipment is accessed to the Internet of things.
The detailed process of this step can refer to the description in step S210, and is not described herein again.
S420: and submitting the sensing data to access node equipment so that the access node equipment screens the sensing data and then transmits the screened sensing data to evaluation equipment, and then the evaluation equipment inputs the screened sensing data into a sensing equipment evaluation model to obtain an evaluation result.
The detailed process of this step can refer to the descriptions in steps S220, S230, S240, and S250, and will not be described herein again.
Based on the method for evaluating the sensing equipment of the internet of things corresponding to fig. 2, an embodiment of the present specification further provides a method for evaluating the sensing equipment of the internet of things. As shown in fig. 5, an execution subject of the method for evaluating the internet of things sensor device is an access node device, and the method for evaluating the internet of things sensor device specifically includes the following steps.
S510: receiving collected perception data to be detected sent by a data transmission module; the collecting of the perception data to be detected comprises the data obtained by collecting the perception data to be detected, which is acquired by at least one sensor to be detected, by the data transmission module.
The detailed process of this step can refer to the descriptions of steps S210 and S220, and will not be described herein.
S520: and screening the perception data by using a threshold screening condition.
The detailed process of this step can refer to the description in step S230, and is not described herein again.
S530: and transmitting the screened sensing data to an evaluation device so that the evaluation device inputs the screened sensing data into a sensing device evaluation model to obtain an evaluation result.
The detailed process of this step can refer to the descriptions in steps S240 and S250, and is not described herein again.
Based on the method for evaluating the sensing equipment of the internet of things corresponding to fig. 2, an embodiment of the present specification further provides a method for evaluating the sensing equipment of the internet of things. As shown in fig. 6, an execution subject of the method for evaluating the internet of things sensing device is an evaluation device, and the method for evaluating the internet of things sensing device specifically includes the following steps.
S610: receiving the screened sensing data transmitted by the access node equipment; the screened sensing data comprises data obtained by screening sensing data by using a threshold screening condition after an access node device obtains the sensing data of a sink node device receiving the sensing device based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement that the sensing equipment is accessed to the Internet of things.
The detailed process of this step can refer to the descriptions of steps S210, S220, S230, and S240, which are not described herein again.
S620: and inputting the screened sensing data into a sensing equipment evaluation model to obtain an evaluation result.
The detailed process of this step can refer to the description in step S250, and is not described herein again.
S630: and evaluating the sensing equipment according to the evaluation result.
The detailed process of this step can refer to the description in step S250, and is not described herein again.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardbyscript Description Language (vhr Description Language), and the like, which are currently used by Hardware compiler-software (Hardware Description Language-software). It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
From the above description of the embodiments, it is clear to those skilled in the art that the present specification can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solutions of the present specification may be essentially or partially implemented in the form of software products, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and include instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments of the present specification.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The description is operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
While the specification has been described with examples, those skilled in the art will appreciate that there are numerous variations and permutations of the specification that do not depart from the spirit of the specification, and it is intended that the appended claims include such variations and modifications that do not depart from the spirit of the specification.

Claims (12)

1. An Internet of things sensing equipment evaluation system is characterized by comprising sink node equipment, access node equipment and evaluation equipment;
the sink node equipment is used for receiving sensing data of the sensing equipment based on a preset communication protocol and submitting the sensing data to the access node equipment; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things;
the access node equipment is used for screening the perception data by using a threshold screening condition and transmitting the screened perception data to the evaluation equipment;
and the evaluation equipment is used for inputting the screened perception data into a sensing equipment evaluation model to obtain an evaluation result.
2. The system of claim 1, wherein the perception data comprises at least one of: measuring device physical data, measuring device status data, environmental data.
3. The system of claim 1, wherein the sink node device is further configured to send an identification of the sensor device as an abnormal sensor device identification to an evaluation device when the connected sensor device does not have the preset communication protocol.
4. The system of claim 1, wherein the threshold screening condition comprises a range of perceptual data distributions; the screening the perception data by using the threshold screening condition comprises the following steps:
and screening out the perception data in the perception data distribution range.
5. The system of claim 1, wherein the access node device is further configured to send an identifier of the sensor device corresponding to the sensing data that does not meet the threshold screening condition to the evaluation device as an abnormal sensing device identifier.
6. The system of claim 1, wherein the sensing device evaluation model includes a trend change rule; the inputting the screened perception data into a sensing equipment evaluation model to obtain an evaluation result comprises the following steps:
acquiring a perception data change curve corresponding to the screened perception data;
and if the change curve of the perception data does not accord with the trend change standard, evaluating the sensing equipment corresponding to the screened perception data as abnormal sensing equipment.
7. The system of claim 1, wherein the preset evaluation criteria include reference perceptual data and a preset difference ratio; the inputting the screened perception data into a sensing equipment evaluation model to obtain an evaluation result comprises the following steps:
comparing the screened sensing data with the reference sensing data;
and if the difference degree between the screened sensing data and the reference sensing data is greater than a preset difference proportion, evaluating the sensing equipment corresponding to the screened sensing data as abnormal sensing equipment.
8. The system of claim 1, wherein the evaluation device is further configured to send pre-warning information to a user; the early warning information comprises an abnormal sensing equipment identifier; the abnormal sensing equipment identification comprises an identification corresponding to the abnormal sensing equipment evaluated by the evaluation equipment and/or an abnormal sensing equipment identification fed back by the aggregation node equipment and the access node equipment.
9. The system of claim 1, wherein the evaluation device is further configured to send commissioning information to the sensing device; and the debugging information is used for adjusting the working state of the sensing equipment.
10. An Internet of things sensing equipment evaluation method is characterized by comprising the following steps:
receiving sensing data of the sensing equipment based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things;
and submitting the sensing data to access node equipment so that the access node equipment screens the sensing data and then transmits the screened sensing data to evaluation equipment, and then the evaluation equipment inputs the screened sensing data into a sensing equipment evaluation model to obtain an evaluation result.
11. An Internet of things sensing equipment evaluation method is characterized by comprising the following steps:
receiving sensing data submitted by sink node equipment; the sensing data comprises data of the sensing equipment received by the sink node equipment based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things;
screening the perception data by using a threshold screening condition;
and transmitting the screened sensing data to an evaluation device so that the evaluation device inputs the screened sensing data into a sensing device evaluation model to obtain an evaluation result.
12. An Internet of things sensing equipment evaluation method is characterized by comprising the following steps:
receiving the screened sensing data transmitted by the access node equipment; the screened sensing data comprises data obtained by screening sensing data by using a threshold screening condition after an access node device obtains the sensing data of a sink node device receiving the sensing device based on a preset communication protocol; the sensing equipment is used for accessing the Internet of things; the preset communication protocol is used for indicating the requirement of the sensing equipment for accessing the Internet of things;
inputting the screened sensing data into a sensing equipment evaluation model to obtain an evaluation result;
and evaluating the sensing equipment according to the evaluation result.
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