CN111368172A - Sensor data processing method and device, computer equipment and storage medium - Google Patents
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Abstract
The application relates to a sensor data processing method, a sensor data processing device, computer equipment and a storage medium. The method comprises the following steps: receiving a data query request, wherein the data query request carries a target electronic equipment identifier; acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request; determining the state information of the sensor corresponding to each sensor identifier; acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor; determining a target data set from the candidate data of each sensor according to the state information of each sensor; and returning the target data set to the sending end of the data query request. By adopting the method, the data collected by the plurality of sensors in the same time window can be accurately identified, and the data processing accuracy is further improved.
Description
Technical Field
The application relates to the field of internet of things, in particular to a sensor data processing method and device, computer equipment and a storage medium.
Background
With The rapid development of computer technology, The Internet of Things (IOT) technology has emerged, which is a network that connects devices with The Internet according to agreed protocols through various sensors to perform information exchange and communication, so as to implement testing, monitoring and management of devices. The corresponding sensors of the equipment in the internet of things are usually multiple. At present, when a plurality of sensors work cooperatively, the time for acquiring data by the sensors is often required, so that the equipment can be tested, monitored or managed according to the data acquired at the same time.
In the conventional technology, a server directly takes a time point of receiving data uploaded by a sensor as a data acquisition time point. Therefore, due to the fact that different sensors consume different times for uploading data to the server, if the time point of the server for receiving the data is taken as the data acquisition time point, the accuracy of a data processing result obtained by the server according to the data with the same receiving time is low, and further effective monitoring and maintenance on the equipment cannot be carried out.
Disclosure of Invention
In view of the above, it is necessary to provide a sensor data processing method, an apparatus, a computer device, and a storage medium, which can accurately identify data collected by a plurality of sensors at the same time, and further improve the accuracy of data processing.
A method of sensor data processing, the method comprising:
receiving a data query request, wherein the data query request carries a target electronic equipment identifier;
acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request;
determining the state information of the sensor corresponding to each sensor identifier;
acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor;
determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and returning the target data set to the sending end of the data query request.
A sensor data processing apparatus, the apparatus comprising:
the receiving module is used for receiving a data query request, and the data query request carries a target electronic equipment identifier;
the data acquisition module is used for acquiring a plurality of sensor identifications corresponding to the target electronic equipment identifications according to the data query request; determining the state information of the sensor corresponding to each sensor identifier; acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor;
the determining module is used for determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and the sending module is used for returning the target data set to the sending end of the data query request.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
receiving a data query request, wherein the data query request carries a target electronic equipment identifier;
acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request;
determining the state information of the sensor corresponding to each sensor identifier;
acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor;
determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and returning the target data set to the sending end of the data query request.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
receiving a data query request, wherein the data query request carries a target electronic equipment identifier;
acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request;
determining the state information of the sensor corresponding to each sensor identifier;
acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor;
determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and returning the target data set to the sending end of the data query request.
According to the sensor data processing method, the sensor data processing device, the computer equipment and the storage medium, the data query request is received, and the data query request carries the target electronic equipment identifier; acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request; determining the state information of the sensor corresponding to each sensor identifier; acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor; determining a target data set from the candidate data of each sensor according to the state information of each sensor; and returning the target data set to the sending end of the data query request. Therefore, the time stamps carried by the target data in the target data set are added by the communication module of the sensor and are matched, so that the target data in the target data set can be reflected to be collected by the plurality of sensors in the same time window, and the accuracy of a data processing result obtained by processing the target data set is high after the sending end of the data query request receives the target data set, and the target electronic equipment can be effectively monitored and maintained according to the data processing result.
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FIG. 1 is a diagram of an exemplary sensor data processing method;
FIG. 2 is a schematic flow chart diagram of a sensor data processing method in one embodiment;
FIG. 3 is a schematic flow chart illustrating the storage of collected data in one embodiment;
FIG. 4 is a block diagram of a sensor data processing apparatus according to an embodiment;
FIG. 5 is a block diagram showing the structure of a sensor data processing device according to another embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The sensor data processing method provided by the application can be applied to the application environment shown in fig. 1. Wherein the terminal 102 and the server 104 communicate via a network. The terminal 102 sends a data query request to the server 104, where the data query request carries the identifier of the target electronic device. The server 104 obtains a plurality of sensor identifications corresponding to the target electronic device identification according to the data query request. The server 104 determines status information for each sensor identifying the corresponding sensor. The server 104 obtains candidate data of each sensor from the database, the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamp is added by the communication module of each sensor before each sensor sends the candidate data to the server 104. The server 104 determines a target data set from the candidate data of each sensor according to the state information of each sensor. Finally, the server 104 feeds back the target data set to the terminal 102.
The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a sensor data processing method is provided, which is described by taking the application of the method to the server in fig. 1 as an example, and includes the following steps:
s202, receiving a data query request, wherein the data query request carries a target electronic device identifier.
The data query request is a request with a query function, and is used for searching the to-be-processed data about the target electronic equipment in the server. The data to be processed refers to data which are uploaded to the server after being collected by a sensor corresponding to the target electronic equipment. The data to be processed can be used for testing the target electronic equipment and can also be used for monitoring and maintaining the target electronic equipment. The target electronic device identification refers to an electronic device identification of the target electronic device. The electronic device identifier is an identifier for uniquely identifying the electronic device, and may specifically include a character string of at least one character of letters, numbers and symbols.
Specifically, the server receives a data query request sent by the terminal, wherein the data query request carries a target electronic device identifier. The data query request may also be sent by other servers.
In one embodiment, the electronic device identifier may specifically be a serial number corresponding to the target electronic device. When the equipment producing side produces the electronic equipment, the coding rule is prepared through the computer, and the serial number is generated according to the coding rule. The serial number may specifically include information such as a production date, a product model number, and a serial number of the electronic device.
In one embodiment, the data query request may be triggered automatically, and may be triggered once every preset time period, for example, when the elevator is overhauled every month, the data uploaded to the server after being collected by the elevator sensor is acquired, and the data is analyzed to monitor the operation state of the elevator.
And S204, acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request.
The sensor identifier is an identifier for uniquely identifying the sensor, and may specifically include a character string of at least one character of letters, numbers, and symbols.
Specifically, after receiving the data query request, the server locally searches for a sensor identifier corresponding to a target electronic device identifier according to the target electronic device identifier carried in the data query request.
In one embodiment, the sensor identification and the electronic device identification are stored in association in a database of the server. And searching the sensor identifier corresponding to the electronic equipment identifier according to the electronic equipment identifier. One electronic device identification corresponds to at least one sensor identification.
And S206, determining the state information of the sensor corresponding to each sensor identification.
Wherein the state information includes a normal state and an abnormal state. When the state information of the sensor is in a normal state, the process of sending the collected data of the sensor to the server is not abnormal. When the state information of the sensor is in an abnormal state, the process of sending the collected data of the sensor to the server is abnormal.
Specifically, the server may preset an effective time length for sending the collected data of each sensor to the server. The server can determine the effective receiving time of the server for receiving the collected data of each sensor according to the timestamp carried by the collected data of each sensor and the effective duration corresponding to the collected data of each sensor. Furthermore, the server can determine the state information of each sensor according to the receiving time for receiving the collected data of each sensor and the effective receiving time corresponding to the collected data of each sensor. And if the receiving time of the collected data of one sensor is within the effective receiving time of the collected data, the state information of the sensor is in a normal state. And if the receiving time of the collected data of one sensor exceeds the effective receiving time of the collected data, the state information of the sensor is in an abnormal state. Therefore, the server can determine the state information of each sensor according to the timestamp carried by the acquired data of each sensor, the effective duration and the receiving time of the acquired data uploaded to the server.
In one embodiment, the sensor identification is stored in association with the acquired data in a database of the server. And searching the acquired data corresponding to the sensor identifier according to the sensor identifier.
And S208, acquiring candidate data of each sensor from the database, wherein the candidate data of each sensor carries a timestamp, and the timestamps carried by the candidate data of each sensor are matched and are added by the communication module of each sensor.
The time stamp is a character string consisting of two characters, namely a number and a symbol, and is used for uniquely identifying the receiving time of the data sent by the acquisition module received by the communication module of the sensor. The accuracy of the time stamp may be milliseconds. It can be understood that the time that the data transmission that the collection module of sensor was gathered to the communication module is fixed, consequently can discern the data that a plurality of sensors gathered in same time window according to the timestamp.
Timestamp matching refers to timestamps within the same time window. The time window refers to a preset time period including the latest time stamp. The time length of the preset time period may be set as needed. The time window may be a time period determined by taking a latest time stamp in the collected data of each sensor stored in the database as a time end point and taking a time stamp which is a preset time length away from the latest time stamp as a time start point. For example, the time length of the preset time period may be 1 second, the latest timestamp is 49 minutes 45.732 seconds at 11/1/16 in 2019, and the time window is from 49 minutes 44.732 seconds at 11/1/16 in 2019 to 49 minutes 45.732 seconds at 11/1/16 in 2019. It is understood that the acquisition data with the latest timestamp refers to the acquisition data with the largest timestamp stored in the database, that is, the time interval between the timestamp of the acquisition data with the latest timestamp and the current time is the smallest. Specifically, the database of the server stores the collected data uploaded by each sensor, and the collected data carries a timestamp. And the server searches the acquired data corresponding to each sensor in a database of the server according to the sensor identification of each sensor. Further, the server obtains the acquired data matched with the timestamp corresponding to each sensor from the searched acquired data corresponding to each sensor, and takes the acquired data matched with the timestamp corresponding to each sensor as the candidate data of each sensor.
In one embodiment, the sensor may be a LoRaWAN (Long Range Area Network) sensor. LoRaWAN sensor includes gathers module and LoRa (Long Range, Long distance) communication module. The acquisition module is one of key components of the sensor and is used for acquiring data. The frequency of the acquisition module for acquiring data and the frequency of the transmission module for transmitting data are not necessarily the same. Taking the LoRaWAN sensor as an example, the frequency of data acquisition by the acquisition module of the LoRaWAN sensor is 1 second and 1 time, and the frequency of data transmission is 5 seconds and 1 time. The loRa communication module is one of the key subassembly of sensor for communicate with the loRa server, send the data collection to the loRa server through the loRa agreement, and then the loRa server is with data transmission to other servers or terminals. The LoRa communication module is based on the communication module of the loRa agreement, and the loRa agreement is a low-power consumption, long-range LAN wireless communication agreement.
Furthermore, the acquisition module of the sensor can not record corresponding time stamps when acquiring data. Secondly, the computer nodes through which different LoRa communication modules send data to the server are different, and thus different LoRa communication modules consume different time for sending data to the server. This results in different arrival times of data received by the LoRa communication modules of the sensors at the same time when the sensors work cooperatively. If there is great difference in the time that the data that the loRa communication module of a plurality of sensors received at the same time arrived the server, then when follow-up server sent the data of coming to the loRa communication module of this a plurality of sensors and handled, because the actual acquisition time that the data correspond is different, great error can appear in data processing, and data processing result accuracy is lower.
Therefore, when the sensors work in a cooperative mode, the LoRa communication modules of the sensors add time stamps to the data collected by the sensors, and the data received by the LoRa communication modules of the sensors at the same time can be synchronized in time, so that the data can be processed in the subsequent process. The data that the collection module of sensor will gather are sent loRa communication module according to standard protocol with preset time interval. And after the LoRa communication module receives the data, adding the receiving time of the data into the data as the time stamp of the data. Then the data transmission that the loRa communication module will add the time stamp to the loRa server, and the data transmission that the loRa server will add the time stamp again is to the server. The LoRa server is responsible for data transmission. The preset time interval can be the frequency of data transmission of the acquisition module. For example, taking a LoRaWAN sensor as an example, the frequency of data transmission by the acquisition module of the LoRaWAN sensor is 5 seconds and 1 time. Therefore, the acquisition module of the LoRaWAN sensor sends the acquired data to the LoRa communication module according to the standard protocol at 5 second time intervals. To meet the data collection requirements of the sensors, the standard protocol may be defined as shown in table 1. In addition, because the collection module of sensor does not record corresponding time stamp when gathering data, therefore the time stamp in the agreement is 0.
TABLE 1
In one embodiment, the LoRa communication module timing of each sensor is time synchronized with the LoRa server, ensuring that the LoRa communication modules of each sensor are on the same time reference when time stamps are added.
S210, determining a target data set from the candidate data of each sensor according to the state information of each sensor.
Specifically, when the state information of all the sensors is in a normal state, the server combines the candidate data of all the sensors into a target data set. When the state information of a plurality of sensors in all the sensors is in an abnormal state, the server filters the candidate data of the plurality of sensors from the candidate data of all the sensors, and the residual candidate data form a target data set.
S212, the target data set is returned to the sending end of the data query request.
Specifically, after determining the target data set, the server sends the target data set to a sending end of the data query request. The sending end can monitor and maintain the target electronic equipment according to the target data set. In an actual scene, it is difficult to ensure that each sensor collects data at the same time point (accurate to millisecond), so that the collected data with the timestamps in the same time window form a target data set, and the applicability can be improved. For example, the effective data collected by the current sensor, the voltage sensor and the speed sensor of the elevator within the same 1 second form a target data set, and the running state of the elevator within the 1 second is tested according to the target data set.
In the sensor data processing method, a data query request is received, and the data query request carries a target electronic equipment identifier; acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request; determining the state information of the sensor corresponding to each sensor identifier; acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor; determining a target data set from the candidate data of each sensor according to the state information of each sensor; and returning the target data set to the sending end of the data query request. Therefore, the time stamps carried by the target data in the target data set are added by the communication module of the sensor and are matched, so that the target data in the target data set can be reflected to be collected by the plurality of sensors in the same time window, and the accuracy of a data processing result obtained by processing the target data set is high after the sending end of the data query request receives the target data set, and the target electronic equipment can be effectively monitored and maintained according to the data processing result.
In one embodiment, before step S202, the sensor data processing method further includes: acquiring an electronic equipment identifier and a sensor identifier corresponding to at least one piece of electronic equipment; and associating the electronic equipment identifier and the sensor identifier corresponding to the same electronic equipment, and storing the electronic equipment identifier and the sensor identifier in a database.
Specifically, the server may obtain test data of the electronic device from each channel, where the test data includes an electronic device identifier and a sensor identifier corresponding to at least one electronic device. The server may associate the electronic device identifier and the sensor identifier corresponding to the same electronic device, and store the electronic device identifier and the sensor identifier as a set of data in the database, so as to query the sensor data corresponding to the electronic device. When the server finds the group of data locally according to the electronic equipment identifier, the sensor identifier associated with the electronic equipment identifier in the group of data can be found, and then the acquired data corresponding to the sensor identifier can be found. For example, the server may obtain from the terminal test data for the elevators, which test data comprises test data for elevator a and elevator B. And determining an electronic equipment identifier a corresponding to the elevator A, a sensor identifier a1 of a displacement sensor A1 corresponding to the elevator A and a sensor identifier a2 of a speed sensor A2 according to the test data of the elevator A, and storing the electronic equipment identifier a in association with the sensor identifier a1 and the sensor identifier a 2. And determining an electronic device identifier B corresponding to the elevator B, a sensor identifier B1 of a displacement sensor B1 corresponding to the elevator B, a sensor identifier B2 of a vibration sensor B2 and a sensor identifier B3 of a speed sensor B3 according to the test data of the elevator B, and storing the electronic device identifier B in association with the sensor identifier B1, the sensor identifier B2 and the sensor identifier B3. Subsequently, if the target electronic device identifier carried in the data query request received by the server is the electronic device identifier a, the server may search for the acquired data corresponding to the sensor identifier a1 and the sensor identifier a2 according to the electronic device identifier a, and perform corresponding processing.
In the above embodiment, an electronic device identifier and a sensor identifier corresponding to at least one electronic device are obtained; and associating the electronic equipment identifier and the sensor identifier corresponding to the same electronic equipment, and storing the electronic equipment identifier and the sensor identifier in a database. Therefore, the electronic equipment identification and the sensor identification corresponding to the same electronic equipment are stored in an associated mode, the corresponding sensor identification can be conveniently and quickly found through the electronic equipment identification, and the sensor data corresponding to the target electronic equipment can be conveniently and subsequently acquired.
In one embodiment, before step S202, the sensor data processing method further includes:
and S302, receiving the collected data uploaded by the sensor corresponding to the sensor identifier, wherein the collected data carries a timestamp.
And S304, analyzing the acquired data to obtain a time stamp corresponding to the acquired data.
And S306, storing the acquired data to a database according to the time stamp.
Specifically, the server receives the collected data uploaded by the sensor. The server analyzes the collected data based on the programming language format corresponding to the collected data to obtain a field value of which the field in the collected data is a time stamp. And the server stores the acquired data into a database by taking the timestamp field as a key word.
In one embodiment, the server may create a time series database for storing the collected data uploaded by the sensor with the timestamp field as a key. In the time-series database, the collected data may be sorted in chronological order. In the time sequence database, the sensor identification corresponding to the collected data and the electronic equipment identification corresponding to the sensor identification can be stored.
In one embodiment, the programming language format corresponding to the collected data may be JSON (JavaScript object notation). JSON is a lightweight data exchange format. JSON is easy for users to read and write, is easy for computer analysis and generation, and can effectively improve the network transmission efficiency. The acquisition data may include fields such as sensor identification, sensor protocol data, and time stamps.
In one embodiment, the server may receive the collected data sent by the LoRa server, where the collected data is sent to the LoRa server by the LoRa communication module of the sensor. Specifically, the loRa communication module of sensor sends the data collection that has added the time stamp to the loRa server after encrypting and encoding. And after receiving the acquired data, the LoRa server decodes and decrypts the acquired data. And the LoRa server encapsulates the decoded acquired data into a JSON format and sends the JSON format to the server. The acquired data is encrypted and sent, so that the safety of data transmission can be improved.
In one embodiment, the server may agree with the sensor on the keys to use for encryption and decryption. Like this, the server can directly receive the data collection that loRa communication module sent and come, decodes and deciphers the data collection. And analyzing the collected data to obtain the time stamp of the collected data.
In the above embodiment, the collected data of the sensor corresponding to the sensor identifier is received, and the collected data carries a timestamp; analyzing the collected data to obtain a timestamp corresponding to the collected data; and storing the acquired data to a database according to the time stamp. Therefore, the collected data of the sensor is stored according to the time stamp, and the collected data with the same time stamp can be conveniently searched subsequently.
In one embodiment, step S206 includes: acquiring a timestamp, effective duration and receiving time of the acquired data corresponding to each sensor; determining the state information of each sensor according to the timestamp, the effective duration and the receiving time of the acquired data corresponding to each sensor, wherein the state information comprises a normal state and an abnormal state, the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the normal state is less than or equal to the receiving time, and the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the abnormal state is greater than the receiving time.
Specifically, the server obtains the receiving time of the collected data corresponding to each sensor, and the timestamp and the effective duration of the collected data corresponding to each sensor. And when the target time obtained by adding the timestamp of the collected data corresponding to one sensor and the effective time length is greater than or equal to the receiving time of the collected data corresponding to the sensor, the state information of the sensor is in a success state. And when the target time obtained by adding the timestamp of the acquired data corresponding to one sensor and the effective time length is less than the receiving time of the acquired data corresponding to the sensor, the state information of the sensor is in a failure state. And the server determines the state information of each sensor according to the receiving time, the timestamp and the effective duration of the acquired data corresponding to each sensor.
In an embodiment, when the sensor is sending the data collection, because the short-lived anomaly of network appearance leads to loRa communication module and loRa server disconnection, the acquisition data that the loRa communication module sent can not be received to the loRa server, and then the server can not receive the acquisition data that the loRa server sent, leads to the process that the acquisition data of sensor sent to the server to appear unusually. In addition, because the sensor breaks down, the server may not receive the collected data sent by the LoRa server.
In one embodiment, the validity period may be set according to different types of LoRaWAN sensors. Because the variety of loRa communication module, the performance of the loRa communication module of different models is different, consequently can set up corresponding effective duration according to the LoRaWAN sensor of different grade type.
In the above embodiment, the state information corresponding to each sensor is determined according to the timestamp, the effective duration and the receiving time of the acquired data corresponding to each sensor. Therefore, whether the sensor is abnormal or not can be judged according to the state information of the sensor, the acquired data of the abnormal sensor is filtered by the follow-up server, the data processing workload of the sending end of the data query request can be reduced, and the working efficiency is improved.
In one embodiment, the sensor data processing method further comprises: and marking the collected data of the sensor corresponding to the abnormal state as invalid data.
Specifically, when the state information of one sensor is in an abnormal state, the server marks the collected data of the sensor in the database as invalid data. According to the marking information of the collected data, the server can accurately identify the effectiveness of the collected data. Thus, the server does not return invalid data to the sender of the data query request.
In the above embodiment, the collected data of the sensor corresponding to the abnormal state is marked as invalid data. Therefore, whether the collected data is effective or not can be judged conveniently and rapidly according to the mark information of the collected data stored in the database.
In one embodiment, the sensor data processing method further comprises: and sending prompt information to a sending end of the data query request, wherein the prompt information comprises at least one of video, image and voice, and the prompt information carries a sensor identifier corresponding to a sensor with abnormal state information.
Specifically, when the state information of the sensor is in an abnormal state, prompt information can be generated according to the sensor identifier of the sensor, the prompt information is fed back to the sending end of the data query request, and a user is informed of the abnormal state of the sensor through the prompt information in time, so that the user can overhaul the abnormal sensor in time. The prompt message may be at least one of video, image, and voice.
In a specific embodiment, the sensor data processing method can be completed through an internet of things cloud platform. The Internet of things cloud platform is a cloud platform based on the Internet of things technology and used for managing relevant data of Internet of things equipment. The sensor data processing method specifically comprises the following steps:
and step 1, receiving and storing data.
Specifically, assuming that the target electronic device a corresponds to the LoRaWAN sensor A, LoRaWAN sensor B, LoRaWAN sensor C, the electronic device identifier of the target electronic device a and the sensor identifier of the sensor are stored in association in the time-series database. The internet of things cloud platform receives the collected data of LoRaWAN sensor A, B, C, and the collected data carries a timestamp. The LoRaWAN sensor A is taken as an example to explain the process of sending the acquired data a corresponding to the LoRaWAN sensor A to the Internet of things cloud platform, and the acquisition module of the LoRaWAN sensor A acquires data in the operation process of the target electronic equipment to obtain the acquired data a. The acquisition module sends the acquired data a to the LoRa communication module of the sensor A according to the standard protocol. Sensor A's loRa communication module adds the time stamp for this collection data a according to the time of receiving this collection data a to the collection data a that will add the time stamp is encrypted and is encoded, sends to the loRa server. And the LoRa server decodes and decrypts the received acquired data a, encapsulates the decoded acquired data a into a JSON format and sends the JSON format to the Internet of things cloud platform.
The Internet of things cloud platform analyzes the received collected data to obtain a field value with a field as a timestamp in the collected data, and stores the collected data into a time sequence database by taking the timestamp field as a keyword.
And 2, inquiring and sending data.
Specifically, the internet of things cloud platform receives a data query request sent by a terminal, wherein the data query request carries an electronic device identifier of a target electronic device a. And the Internet of things cloud platform searches the sensor identification corresponding to the electronic equipment identification in the time sequence database, and further determines the state information of the sensor corresponding to the sensor identification according to the acquired data in the time sequence database. The method comprises the steps that the effective duration of the collected data corresponding to each sensor is preset by the Internet of things cloud platform, namely the maximum allowable timeout interval of the collected data uploaded by each sensor. The LoRaWAN sensor A is taken as an example to explain the process of determining the state information of the LoRaWAN sensor A according to the collected data a of the LoRaWAN sensor A, the timestamp of the collected data a is taken as a timing starting point, the receiving time of the IoT cloud platform for receiving the collected data a is taken as a timing end point, and when the time interval between the timing starting point and the timing end point is less than or equal to the effective duration of the collected data a, the state information of the LoRaWAN sensor A is determined to be in a normal state. And when the time interval between the timing starting point and the timing end point is longer than the effective time of the collected data a, determining that the state information of the LoRaWAN sensor A is in an abnormal state.
And the Internet of things cloud platform marks the acquired data corresponding to the sensor with the abnormal state as invalid data and returns target data to the terminal, wherein the target data is the acquired data of the sensor with the normal state corresponding to the target electronic equipment A and the timestamp of the acquired data in the same time window. For example, when the state information of the LoRaWAN sensor A, LoRaWAN sensor B, LoRaWAN sensor C is all in a normal state, the internet of things cloud platform returns the acquired data of the time stamp uploaded by the LoRaWAN sensor A, LoRaWAN sensor B, LoRaWAN sensor C in the time sequence database in the same time window to the terminal. When the state information of the LoRaWAN sensor A is in an abnormal state and the state information of the LoRaWAN sensor B, LoRaWAN is in a normal state, the Internet of things cloud platform returns collected data of timestamps uploaded by the LoRaWAN sensor B and the LoRaWAN sensor C in the same time window, wherein the collected data are stored in the time sequence database. Further, the cloud platform of the internet of things can also send a prompt message to the terminal to prompt that the LoRaWAN sensor A is abnormal, so that the user can timely overhaul the LoRaWAN sensor A.
It should be understood that the steps in the above-described flowcharts are shown in order as indicated by the arrows, but the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in the above-described flowcharts may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or the stages is not necessarily sequential, but may be performed alternately or alternatingly with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a sensor data processing apparatus including: a receiving module 402, an obtaining data module 404, a determining module 406, and a sending module 408, wherein:
a receiving module 402, configured to receive a data query request, where the data query request carries an identifier of a target electronic device.
A data obtaining module 404, configured to obtain, according to the data query request, multiple sensor identifiers corresponding to the target electronic device identifier; determining the state information of the sensor corresponding to each sensor identifier; the candidate data of each sensor are obtained from the database, the candidate data of each sensor carry a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by the communication modules of each sensor.
A determining module 406, configured to determine a target data set from the candidate data of each sensor according to the status information of each sensor.
A sending module 408, configured to return the target data set to a sender of the data query request.
In one embodiment, as shown in fig. 5, the sensor data processing apparatus further includes:
an obtaining identification module 401, configured to obtain an electronic device identification and a sensor identification corresponding to at least one electronic device; and associating the electronic equipment identifier and the sensor identifier corresponding to the same electronic equipment, and storing the electronic equipment identifier and the sensor identifier in a database.
In one embodiment, the receiving module is further configured to receive collected data uploaded by a sensor corresponding to the sensor identifier, where the collected data carries a timestamp; analyzing the collected data to obtain a timestamp corresponding to the collected data; and storing the acquired data to a database according to the time stamp.
In one embodiment, the determining module is further configured to obtain a timestamp, an effective duration, and a receiving time of the acquired data corresponding to each sensor; determining the state information of each sensor according to the timestamp, the effective duration and the receiving time of the acquired data corresponding to each sensor, wherein the state information comprises a normal state and an abnormal state, the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the normal state is less than or equal to the receiving time, and the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the abnormal state is greater than the receiving time.
In one embodiment, the status information includes a normal status and an abnormal status, and the determining module is further configured to mark the collected data of the sensor corresponding to the abnormal status as invalid data.
In one embodiment, the status information includes a normal status and an abnormal status, the sending module is further configured to send a prompt message to a sending end of the data query request, the prompt message includes at least one of a video, an image, and a voice, and the prompt message carries a sensor identifier corresponding to a sensor whose status information is the abnormal status.
The sensor data processing device receives a data query request, wherein the data query request carries a target electronic equipment identifier; acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request; determining the state information of the sensor corresponding to each sensor identifier; acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor; determining a target data set from the candidate data of each sensor according to the state information of each sensor; and returning the target data set to the sending end of the data query request. Therefore, the time stamps carried by the target data in the target data set are added by the communication module of the sensor and are matched, so that the target data in the target data set can be reflected to be collected by the plurality of sensors in the same time window, and the accuracy of a data processing result obtained by processing the target data set is high after the sending end of the data query request receives the target data set, and the target electronic equipment can be effectively monitored and maintained according to the data processing result.
For specific limitations of the sensor data processing device, reference may be made to the above limitations of the sensor data processing method, which are not described herein again. The respective modules in the sensor data processing apparatus described above may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the collected data, the electronic device identification and the sensor identification. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a sensor data processing method.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
receiving a data query request, wherein the data query request carries a target electronic equipment identifier;
acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request;
determining the state information of the sensor corresponding to each sensor identifier;
acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor;
determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and returning the target data set to the sending end of the data query request.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring an electronic equipment identifier and a sensor identifier corresponding to at least one piece of electronic equipment; and associating the electronic equipment identifier and the sensor identifier corresponding to the same electronic equipment, and storing the electronic equipment identifier and the sensor identifier in a database.
In one embodiment, the processor, when executing the computer program, further performs the steps of: receiving the collected data of the sensor corresponding to the sensor identification, wherein the collected data carries a timestamp; analyzing the collected data to obtain a timestamp corresponding to the collected data; and storing the acquired data to a database according to the time stamp.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a timestamp, effective duration and receiving time of the acquired data corresponding to each sensor; determining the state information of each sensor according to the timestamp, the effective duration and the receiving time of the acquired data corresponding to each sensor, wherein the state information comprises a normal state and an abnormal state, the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the normal state is less than or equal to the receiving time, and the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the abnormal state is greater than the receiving time.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and marking the collected data of the sensor corresponding to the abnormal state as invalid data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: and sending prompt information to a sending end of the data query request, wherein the prompt information comprises at least one of video, image and voice, and the prompt information carries a sensor identifier corresponding to a sensor with abnormal state information.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
receiving a data query request, wherein the data query request carries a target electronic equipment identifier;
acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request;
determining the state information of the sensor corresponding to each sensor identifier;
acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor;
determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and returning the target data set to the sending end of the data query request.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring an electronic equipment identifier and a sensor identifier corresponding to at least one piece of electronic equipment; and associating the electronic equipment identifier and the sensor identifier corresponding to the same electronic equipment, and storing the electronic equipment identifier and the sensor identifier in a database.
In one embodiment, the computer program when executed by the processor further performs the steps of: receiving the collected data of the sensor corresponding to the sensor identification, wherein the collected data carries a timestamp; analyzing the collected data to obtain a timestamp corresponding to the collected data; and storing the acquired data to a database according to the time stamp.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a timestamp, effective duration and receiving time of the acquired data corresponding to each sensor; determining the state information of each sensor according to the timestamp, the effective duration and the receiving time of the acquired data corresponding to each sensor, wherein the state information comprises a normal state and an abnormal state, the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the normal state is less than or equal to the receiving time, and the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the abnormal state is greater than the receiving time.
In one embodiment, the computer program when executed by the processor further performs the steps of: and marking the collected data of the sensor corresponding to the abnormal state as invalid data.
In one embodiment, the computer program when executed by the processor further performs the steps of: and sending prompt information to a sending end of the data query request, wherein the prompt information comprises at least one of video, image and voice, and the prompt information carries a sensor identifier corresponding to a sensor with abnormal state information.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method of sensor data processing, the method comprising:
receiving a data query request, wherein the data query request carries a target electronic equipment identifier;
acquiring a plurality of sensor identifications corresponding to the target electronic equipment identification according to the data query request;
determining the state information of the sensor corresponding to each sensor identifier;
acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamps are added by a communication module of each sensor;
determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and returning the target data set to the sending end of the data query request.
2. The method of claim 1, wherein prior to receiving the data query request, the method further comprises:
acquiring an electronic equipment identifier and a sensor identifier corresponding to at least one piece of electronic equipment;
and associating the electronic equipment identifier and the sensor identifier corresponding to the same electronic equipment, and storing the electronic equipment identifier and the sensor identifier in a database.
3. The method of claim 2, further comprising:
receiving collected data uploaded by a sensor corresponding to the sensor identifier, wherein the collected data carries a timestamp;
analyzing the acquired data to obtain a timestamp corresponding to the acquired data;
and storing the acquired data to a database according to the time stamp.
4. The method of claim 3, wherein determining the status information of the sensor corresponding to each sensor identification comprises:
acquiring a timestamp, effective duration and receiving time of the acquired data corresponding to each sensor;
and determining the state information of each sensor according to the timestamp, the effective duration and the receiving time of the acquired data corresponding to each sensor, wherein the state information comprises a normal state and an abnormal state, the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the normal state is less than or equal to the receiving time, and the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the abnormal state is greater than the receiving time.
5. The method of claim 1, wherein the status information comprises a normal status and an abnormal status, and wherein the method further comprises:
and marking the collected data of the sensor corresponding to the abnormal state as invalid data.
6. The method of claim 1, wherein the status information comprises a normal status and an abnormal status, and wherein the method further comprises:
and sending prompt information to a sending end of the data query request, wherein the prompt information comprises at least one of video, image and voice, and the prompt information carries a sensor identifier corresponding to a sensor of which the state information is an abnormal state.
7. A sensor data processing apparatus, characterized in that the apparatus comprises:
the receiving module is used for receiving a data query request, and the data query request carries a target electronic equipment identifier;
the data acquisition module is used for acquiring a plurality of sensor identifications corresponding to the target electronic equipment identifications according to the data query request; determining the state information of the sensor corresponding to each sensor identifier; acquiring candidate data of each sensor from a database, wherein the candidate data of each sensor carries a timestamp, the timestamps carried by the candidate data of each sensor are matched, and the timestamp is added by a communication module of each sensor before each sensor sends the candidate data;
the determining module is used for determining a target data set from the candidate data of each sensor according to the state information of each sensor;
and the sending module is used for returning the target data set to the sending end of the data query request.
8. The sensor data processing device of claim 7, wherein the data acquisition module is further configured to acquire a timestamp, an effective duration, and a receiving time of the collected data corresponding to each sensor; and determining the state information of each sensor according to the timestamp, the effective duration and the receiving time of the acquired data corresponding to each sensor, wherein the state information comprises a normal state and an abnormal state, the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the normal state is less than or equal to the receiving time, and the target time obtained by adding the effective duration and the timestamp of the acquired data of the sensor corresponding to the abnormal state is greater than the receiving time.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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