CN117041305B - Offline data management method, device and medium for gas flowmeter based on Internet of things - Google Patents
Offline data management method, device and medium for gas flowmeter based on Internet of things Download PDFInfo
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
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- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/60—Arrangements in telecontrol or telemetry systems for transmitting utility meters data, i.e. transmission of data from the reader of the utility meter
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Abstract
The application discloses a gas flowmeter offline data management method, equipment and medium based on the Internet of things, when equipment breaks the network, a gas flowmeter terminal is controlled to store flow data acquired in real time into a memory local to the gas flowmeter terminal, after connection between the gas flowmeter terminal and a sensing network platform is restored, the flow data generated during the network breaking period stored in the local memory are uploaded to the sensing network platform, so that the sensing network platform can receive complete data of flow generated during the offline period. The problem that the existing gas flowmeter terminal generally uploads flow data in real time, when equipment is disconnected, flow transmission is interrupted, data transmission is carried out after the equipment is recovered to be connected, and flow data generated during the disconnection are not processed is effectively solved.
Description
Technical Field
The application relates to the technical field of the Internet of things, in particular to a gas flowmeter offline data management method, equipment and medium based on the Internet of things.
Background
The gas flowmeter is used for measuring the gas flow, is mainly used for accurately measuring the gas flow of a closed pipeline, and is widely applied to urban pipeline gas measurement, industrial gas measurement, energy management and other measurement of various non-corrosive gases. According to the different metering principles, the gas flowmeter mainly comprises an ultrasonic flowmeter, a turbine flowmeter, an electromagnetic flowmeter, a Roots flowmeter and the like. Along with the development of the technology of the Internet of things, the combination application of the gas flowmeter and the technology of the Internet of things can form an intelligent gas flowmeter of the Internet of things, namely, the intelligent gas flowmeter of the Internet of things takes the gas flowmeter as a base meter, and realizes information interaction with various metering data, state information, alarm information, control parameters and the like of the flowmeter and a controller between the management platform through sensing communication technologies such as NB-IoT, loRa and buses.
With the popularization of the internet of things in the related field, the situation that the equipment is disconnected frequently occurs, because the current gas flowmeter terminal generally uploads flow data in real time, when the equipment is disconnected, the flow transmission is interrupted, only the equipment is connected again after the connection is restored, and the flow data generated during the disconnection are not processed, so that the gas flow is inaccurately measured through the internet of things.
Disclosure of Invention
The invention provides a gas flowmeter offline data management method, equipment and medium based on the Internet of things, which at least solve the problem of inaccurate measurement of gas flow through the Internet of things in the related art.
The invention provides a gas flowmeter offline data management method based on the Internet of things, which is used for an Internet of things system, wherein the Internet of things system comprises a gas flowmeter terminal and a sensing network platform, and the method comprises the following steps:
acquiring a network connection state of the gas flowmeter terminal and the sensing network platform;
when the gas flowmeter terminal is disconnected with the sensing network platform, the gas flowmeter terminal stores the acquired flow data with the time stamp as first data in a local memory;
when the gas flow meter terminal is connected with the sensing network platform, the gas flow meter terminal uploads the first data in the local memory to the sensing network platform;
wherein after the gas flowmeter terminal stores the collected flow data with the time stamp as first data in a local memory, the method further comprises:
Acquiring data information of the first data stored in the local memory;
and when the unprocessed first data exists in the local memory according to the data information of the first data, the gas flowmeter terminal processes the first data stored in the local memory so that the first data accords with a preset data format.
The method is applied to an intelligent flowmeter Internet of things system, when equipment is disconnected, namely when the connection between the gas flowmeter terminal and the sensing network platform is disconnected, the gas flowmeter terminal is controlled to store flow data acquired in real time into a memory local to the gas flowmeter terminal, after the connection between the gas flowmeter terminal and the sensing network platform is recovered, the gas flowmeter terminal can upload flow data generated in the last disconnection period stored in the local memory to the sensing network platform except for normally uploading the real-time flow data, so that the sensing network platform can receive complete flow data generated in an offline period. Compared with the existing scheme, after equipment network disconnection is restored in the existing scheme, the gas flowmeter terminal only uploads new total flow data, the sensing network platform determines the total flow generated when the gas flowmeter terminal is offline according to the new total flow data and the total flow data recorded before network disconnection, but the specific flow service condition when the gas flowmeter terminal is offline cannot be determined, the reliability of the flow acquired by the sensing network platform is reduced due to the loss of the data, and the analysis of the flow data by the sensing network platform is also not facilitated. By adopting the scheme, after the connection between the gas flowmeter terminal and the sensing network platform is restored, the flow data generated during the network disconnection are uploaded to the sensing network platform, and the sensing network platform can acquire the flow data generated during the complete network disconnection, so that the problems in the existing scheme are effectively solved. Meanwhile, the scheme further solves the problem that when the gas flowmeter terminal resumes networking, a large amount of unprocessed flow data can be uploaded to the sensing network platform, the sensing network platform can be used after processing the flow data, the sensing network platform is generally edge computing equipment, the computing power is limited, the computing power of the sensing network platform can be occupied by processing the first data with larger data quantity, the processing efficiency of other real-time flow data is low, and problems are easy to occur in links such as subsequent data analysis. According to the scheme, the first data is preprocessed during the offline period by controlling the gas flowmeter terminal, so that the format of the first data is identical to the format processed by the sensor network platform, the sensor network platform can be directly used after receiving the first data, and the problem that the processing efficiency of other real-time flow data is low due to the fact that the first data with larger data receiving quantity at one time occupies the sensor network platform is effectively solved.
Optionally, after the gas flow meter terminal uploads the first data in the local memory to the sensor network platform, the method further includes:
and the sensing network platform performs data verification according to the first data. The sensor network platform determines the integrity and the authenticity of the first data through checking the first data.
Optionally, the local memory further includes second data, where the second data is flow data of a period of preset time before the first data collected by the gas flowmeter terminal;
when the gas flowmeter terminal is disconnected with the sensing network platform, the gas flowmeter terminal stores the acquired flow data with the timestamp as first data in a local memory, and then the gas flowmeter terminal further comprises:
uploading the second data in the local memory to the sensor network platform.
Because the network disconnection time detected by the system may be delayed relative to the time when the network disconnection actually occurs, the data loss caused by delay can be effectively avoided by recording and uploading the flow data for a period of time before the network disconnection is detected as the second data.
Optionally, the data verification performed by the sensor network platform according to the first data includes:
and the sensing network platform performs data verification according to the first data and the second data. And simultaneously checking the first data and the second data, and further verifying the integrity and the authenticity of the data.
Optionally, the sensing network platform further includes third data, where the third data is data recorded in a database corresponding to the sensing network platform and having the same period as the second data;
the sensing network platform performs data verification according to the first data and the second data, and comprises:
the gas flowmeter terminal calculates the combination of the first data and the second data by adopting a preset algorithm to obtain a first label; uploading the first label and the first data to the sensing network platform;
the sensor network platform calculates the combination of the first data and the third data by adopting the preset algorithm to obtain a second label;
and the sensor network platform judges whether the second label is the same as the first label, and if so, the second label passes the verification.
By adopting the scheme, the sensing network platform can verify the data uploaded by the gas flowmeter terminal and can verify whether the received data is complete and real.
Optionally, the method further comprises:
the sensing network platform finishes verification on the received data;
and the gas flowmeter terminal responds to the instruction sent by the sensing network platform to delete the data after verification.
By adopting the scheme, the data stored in the local memory is deleted periodically, so that the problem that new first data and/or second data cannot be stored in the local memory due to insufficient capacity of the local memory is avoided.
Optionally, the internet of things system further includes a management platform, and further includes:
the management platform is communicated with the sensing network platform to acquire the equipment state of the gas flowmeter terminal and/or acquire and store the data uploaded to the sensing network platform by the gas flowmeter terminal.
The management platform can be arranged on the same server as the sensing network platform, can also be arranged on a server far away from the sensing network platform, one management platform can be communicated with one or more sensing network platforms, the sensing network platform is in charge of being directly connected with the gas flowmeter terminal and collecting the working state of the gas flowmeter terminal, receiving flow data uploaded by the gas flowmeter terminal, and the sensing network platform preprocesses the collected and received data and then sends the preprocessed data to the management platform.
Optionally, the method further comprises:
after the network connection of the gas flowmeter terminal and the sensing network platform is disconnected, acquiring and detecting the time of disconnection of the gas flowmeter terminal and the sensing network platform;
when the connection and disconnection time of the gas flow meter terminal and the sensing network platform exceeds a first threshold, the management platform generates early warning information and sends the early warning information to a user terminal matched with the gas flow meter terminal.
The connection and disconnection between the gas flow meter terminal and the sensor network platform are caused by various reasons, such as interference or district power failure, but when the time for disconnecting the gas flow meter terminal from the sensor network platform exceeds a first threshold, the connection and disconnection between the gas flow meter terminal and the sensor network platform caused by equipment failure and other reasons are likely to occur, so that when the situation occurs, the management platform generates early warning information and sends the early warning information to a user terminal matched with the gas flow meter terminal to remind a user to check the gas flow meter terminal.
Optionally, the method further comprises:
after the network connection of the gas flowmeter terminal and the sensing network platform is disconnected, acquiring and detecting the time of disconnection of the gas flowmeter terminal and the sensing network platform;
And when the time for disconnecting the gas flow meter terminal from the sensing network platform exceeds a second threshold value, the gas flow meter terminal generates a valve closing signal to close the valve.
And when the time for disconnecting the gas flowmeter terminal from the sensing network platform exceeds a second threshold value, controlling the gas flowmeter terminal to generate a valve closing signal to close the valve for gas safety.
Optionally, the method further comprises: when the gas flow meter terminal establishes connection with the sensor network platform, the gas flow meter terminal uploads the first data in the local memory to the sensor network platform, and the method comprises the following steps:
when the gas flow meter terminal is connected with the sensing network platform, the gas flow meter terminal responds to an externally input instruction to upload the first data in the local memory to the sensing network platform.
When the connection between the gas flow meter terminal and the sensing network platform is detected, the gas flow meter terminal can automatically upload the first data in the local memory, can also upload the first data in the local memory in response to an instruction sent by the sensing network platform, and can also upload the first data in the local memory in response to an instruction sent by a user terminal matched with the gas flow meter terminal.
A computer device comprising a memory having a computer program stored therein and a processor executing the computer program to implement any of the methods described above.
A computer readable storage medium, the computer device comprising a memory having a computer program stored therein and a processor executing the computer program to implement any of the methods described above.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the gas flowmeter offline data management method, the device and the medium based on the Internet of things, when the device is disconnected, the gas flowmeter terminal is controlled to store flow data acquired in real time into a memory local to the gas flowmeter terminal, after connection between the gas flowmeter terminal and the sensing network platform is restored, the flow data generated during the disconnection period stored in the local memory are uploaded to the sensing network platform, so that the sensing network platform can receive complete flow data generated during the offline period. The problem that the existing gas flowmeter terminal generally uploads flow data in real time, when equipment is disconnected, flow transmission is interrupted, data transmission is carried out after the equipment is recovered to be connected, and flow data generated during the disconnection are not processed is effectively solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following description will make brief description of the drawings used in the description of the embodiments or the prior art. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a schematic flow chart of an offline data management method of a gas flowmeter based on the Internet of things in the present application;
FIG. 2 is a schematic diagram of a computer device architecture of a hardware operating environment referred to in the present application;
fig. 3 is a schematic diagram of a framework of the internet of things referred to in the present application.
The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings.
Detailed Description
In order that those skilled in the art will better understand the present disclosure, a clear and complete description of the technical solutions of the embodiments of the present disclosure will be provided below in conjunction with the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are only some embodiments of the present disclosure, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure, shall fall within the scope of the present disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
The gas flowmeter offline data management method based on the Internet of things is used for an Internet of things system, wherein the Internet of things system comprises a gas flowmeter terminal and a sensing network platform, and the gas flowmeter terminal is executed and comprises an offline data storage method and a stored data processing method;
The offline data storage method comprises the following steps:
continuously acquiring a network connection state;
judging whether the network is disconnected;
when the network is disconnected, the collected flow data with the time stamp is stored in a local memory as first data;
continuously acquiring a network connection state;
judging whether the network is connected;
and when the network is connected, uploading the first data in the local memory to the sensing network platform.
Specifically, the method comprises the following steps:
s1, acquiring a network connection state of a gas flowmeter terminal and a sensing network platform;
optionally, in step S1, the gas flowmeter terminal and the sensor network platform acquire the network connection state by adopting a method of polling to monitor the network delay. Specifically, the gas flowmeter terminal sends an ICMP message to the sensing network platform, then waits for the sensing network platform to return an ICMP message, and then tracks the connection between the gas flowmeter terminal and the sensing network platform through the Ping tool. The sensing network platform can also acquire the connection state with the gas flowmeter terminal through a method of sending the ICMP message.
Optionally, in step S1, the gas flowmeter terminal and the sensor network platform acquire the network connection state by adopting a method of polling the detection port and the service. Specifically, the sensor network platform may use a monitoring tool such as Nagios, zabbix to perform polling detection to obtain a connection state with the terminal of the gas flowmeter.
S101, when a gas flowmeter terminal is disconnected with a sensing network platform, the gas flowmeter terminal stores collected flow data with a time stamp as first data in a local memory;
optionally, in step S101, the method for storing the collected flow data with the timestamp in the local memory by the gas flowmeter terminal as the first data is: the gas flowmeter terminal acquires real-time flow data, when the real-time flow data is acquired, the time of the local clock is taken as a time stamp, the real-time flow data is matched with the time stamp, and the matched real-time flow data is taken as first data to be stored in the local memory. Specifically, the local memory may be a memory built in the gas flow meter terminal and/or an extended memory card.
Optionally, in step S101, after the gas flow meter terminal is disconnected from the sensor network platform, the gas flow meter terminal stores the collected flow data with the timestamp as the first data in the local memory, and after the gas flow meter terminal is connected with the sensor network platform, the gas flow meter terminal stops storing the flow data in the local memory and sends the flow data to the sensor network platform in real time.
S102, when a gas flow meter terminal is connected with a sensing network platform, the gas flow meter terminal uploads first data in a local memory to the sensing network platform;
optionally, in step S102, after the gas flow meter terminal uploads the first data in the local memory to the sensor network platform, the sensor network platform feeds back a receiving result to the local memory, and the local memory determines whether the uploading of the first data is completed based on the receiving result, and deletes the uploaded first data when the uploading is completed.
The stored data processing method comprises the following steps:
wherein after the gas flowmeter terminal stores the collected flow data with the time stamp as first data in a local memory, the method further comprises:
s2, acquiring data information of first data stored in a local memory;
optionally, in step S2, the gas flowmeter terminal uses a resource monitoring program of the system to obtain data information stored in the local memory, where the data information records information such as format, size, compression or not of the first data.
S201, according to the data information of the first data, when the unprocessed first data exists in the local memory, the gas flowmeter terminal processes the first data stored in the local memory, so that the first data accords with a preset data format.
Optionally, in step S201, the gas flow meter terminal processes the first data stored in the local memory and the timestamp corresponding to the first data, so that the first data and the timestamp conform to a preset data format, and adds the flow data and the timestamp to a preset data table.
Optionally, in step S201, the preset format is a CSV format, the processed flow data includes at least one set of CSV text, and the CSV text includes at least information of a start time, an end time, a flow rate between the start time and the end time, and an average flow rate.
Optionally, in step S201, the gas flow meter terminal stores the unprocessed first data in a first area of the local memory; after the unprocessed first data stored in the first area is processed to be in accordance with a preset data format, the processed first data is restored to a second area of the local memory, and the corresponding data in the first area is deleted. Based on the scheme, in step S102, the gas flowmeter terminal uploads the first data stored in the second area in the local memory to the sensor network platform.
Optionally, in step S201, the gas flowmeter terminal processes flow data stored in the local memory, which is not processed or uploaded to the sensor network platform. By adopting the method, the first data can be processed in time, and the processed first data is uploaded, so that traffic data loss, format abnormality and the like are avoided.
The method is applied to an intelligent flowmeter Internet of things system, when equipment is disconnected, namely, when the connection between a gas flowmeter terminal and a sensing network platform is disconnected, the gas flowmeter terminal is controlled to store flow data acquired in real time into a memory local to the gas flowmeter terminal, after the connection between the gas flowmeter terminal and the sensing network platform is restored, the gas flowmeter terminal can upload flow data generated in the last disconnection period stored in the local memory to the sensing network platform except for normally uploading the real-time flow data, so that the sensing network platform can receive complete flow data generated in an offline period. Compared with the prior art, after the equipment is disconnected and recovered, the gas flowmeter terminal only uploads new total flow data, the sensing network platform determines the total flow generated when the gas flowmeter terminal is offline according to the new total flow data and the total flow data recorded before disconnection, but the specific flow service condition when the gas flowmeter terminal is offline cannot be determined, the reliability of the flow acquired by the sensing network platform is reduced due to the absence of the data, and the analysis of the flow data by the sensing network platform is not facilitated. By adopting the scheme, after the connection between the gas flowmeter terminal and the sensing network platform is restored, the flow data generated during the network disconnection are uploaded to the sensing network platform, and the sensing network platform can acquire the flow data generated during the complete network disconnection, so that the problems in the existing scheme are effectively solved. Meanwhile, the scheme further solves the problem that when the gas flowmeter terminal resumes networking, a large amount of unprocessed flow data can be uploaded to the sensing network platform, the sensing network platform can be used after processing the flow data, the sensing network platform is generally edge computing equipment, the computing power is limited, the computing power of the sensing network platform can be occupied when the first data with larger data quantity is received at one time for processing, the processing efficiency of other real-time flow data is low, and problems are easy to occur in links such as follow-up data analysis. According to the scheme, the first data is preprocessed in the offline period by controlling the gas flowmeter terminal, so that the format of the first data is identical to the format processed by the sensor network platform, the sensor network platform can be directly used after receiving the first data, and the problem that the processing efficiency of other real-time flow data is low due to the fact that the computing power of the sensor network platform is occupied when the first data with larger data volume is processed at one time is effectively solved.
Example 2
An implementation manner of the embodiment based on embodiment 1 includes a gas flow meter terminal and a sensing network platform, the gas flow meter terminal and the sensing network platform are connected through a sensing network, and communication protocols supportable by the sensing network include, but are not limited to: 4G, 5G, NB-IOT and LORA. The sensing network platform monitors the accessed sensing network continuously to acquire the state information of the equipment accessed to the sensing network, allocates independent UIDs for the gas flowmeter terminals accessed to the sensing network according to the physical addresses of the equipment, and determines the networking state of the gas flowmeter terminals according to the UID list. Meanwhile, the gas flowmeter terminal also continuously monitors the networking state of the gas flowmeter terminal and the sensing network platform. When the gas flowmeter terminal is normal, the gas flowmeter terminal uploads the acquired real-time flow data to the sensing network platform according to a preset rule, wherein the preset rule can be uploading a data packet every few seconds or every few minutes, and the data packet comprises time stamp data and optionally valve opening and closing degree data besides the flow data of the few seconds or the few minutes. When the connection between the gas flowmeter terminal and the sensing network platform is disconnected, the gas flowmeter terminal monitors that the communication between the gas flowmeter terminal and the sensing network platform is disconnected, the gas flowmeter terminal is switched to an offline mode, a data packet which needs to be uploaded to the sensing network platform is stored in a local memory to serve as first data, and meanwhile, when the sensing network platform monitors that the gas flowmeter terminal is disconnected, the disconnected gas flowmeter terminal UID and the disconnection time are recorded. When the gas flowmeter terminal is connected with the sensing network platform, the gas flowmeter terminal inquires whether first data which is not uploaded exist in the local memory, if so, the first data stored in the local memory are uploaded to the sensing network platform while the real-time flow data are uploaded according to a preset rule. Meanwhile, the gas flowmeter terminal can also process the first data which is not uploaded in the offline period, and the first data is processed into a data format which can be directly used by the sensing network platform.
Example 3
Further, after the gas flowmeter terminal uploads the first data in the local memory to the sensor network platform, the gas flowmeter terminal further includes:
s10201, the sensing network platform performs data verification according to the first data. The sensing network platform checks the first data through CRC check or other check methods to determine the integrity and authenticity of the first data.
Example 4
Further, the local memory also comprises second data, wherein the second data is flow data of a period of preset time before the first data acquired by the gas flowmeter terminal;
when the gas flowmeter terminal is disconnected with the sensing network platform, the gas flowmeter terminal stores the acquired flow data with the timestamp in the local memory as first data, and then the gas flowmeter terminal further comprises:
s10101, uploading the second data in the local memory to the sensor network platform.
Because the network disconnection time detected by the system may be delayed relative to the time when the network disconnection actually occurs, the data loss caused by delay can be effectively avoided by recording and uploading the flow data for a period of time before the network disconnection is detected as the second data.
Optionally, the previous preset time may be the time of the previous seconds or the previous minutes, or may be the time of the previous data packets, where the preset rule of data packet uploading is to upload the data packet once per second, the previous preset time is the time of the previous 5 data packets, then it is the previous 5 seconds, and if the preset rule of data packet uploading is modified to upload the data packet once per minute, then the previous preset time is the previous 5 minutes.
Optionally, the previous preset time may be a time when the gas flowmeter terminal has uploaded a data packet, but does not receive a response piece of the corresponding data packet, and the sensor network platform is configured to send the corresponding response piece every time when receiving one data packet, because the network disconnection time detected by the gas flowmeter terminal may be later than the actual network disconnection time, and the gas flowmeter terminal cannot confirm the time when the network disconnection actually occurs, the gas flowmeter terminal needs to save the data packet between the response piece received by the sensor network platform last time and the time when the network disconnection is detected by the sensor network platform. Optionally, the time when the gas flowmeter terminal receives the receipt of the sensing network platform last time can be used as the network breaking time.
Optionally, in a configuration manner of the present solution, the local memory is divided into a first storage area and a second storage area, where the second storage area is used to store first data, and the first storage area is used to store a data packet uploaded by the gas flowmeter terminal in a last period of time, and the last period of time is not shorter than a preset period of time.
Optionally, the sensor network platform verifies the first data and/or the second data to verify the integrity and authenticity of the first data and the second data.
Optionally, the gas flowmeter terminal obtains data information of the second data stored in the local memory; and when the unprocessed second data exists in the local memory according to the data information of the second data, the gas flowmeter terminal processes the second data stored in the local memory so that the second data accords with a preset data format.
Example 5
Further, the sensor network platform also comprises third data, wherein the third data is data which is recorded in a database corresponding to the sensor network platform and has the same time period as the second data;
the sensing network platform performs data verification according to the first data and the second data, and comprises the following steps:
s10202, calculating the combination of the first data and the second data by the gas flowmeter terminal through a preset algorithm to obtain a first label; uploading the first label and the first data to a sensing network platform;
s10203, calculating the combination of the first data and the third data by adopting a preset algorithm by the sensor network platform to obtain a second label;
optionally, in step S10202, the gas flow meter terminal calculates a combination of the first data and the second data by using an SHA256 algorithm to obtain a first tag, where the first tag is a ciphertext encrypted by the SHA256 algorithm by using the combination of the first data and the second data, and in step S10203, the sensor network platform calculates a combination of the first data and the third data by using the same algorithm to obtain a second tag.
Optionally, in step S10202, the gas flow meter terminal may further calculate a combination of the first data and the second data by using a CRC algorithm to obtain a first tag, and in step S10203, the sensor network platform calculates a combination of the first data and the third data by using the same algorithm to obtain a second tag.
Specifically, the combination of the first data and the second data may be to add the CSV text of the second data to the CSV text of the first data. Specifically, the combination of the first data and the third data may be to add the CSV text of the third data to the CSV text of the first data.
S10204, the sensor network platform judges whether the second label is the same as the first label, and if so, the second label passes the verification.
Further, in step S10204, when the sensor network platform determines that the second tag is different from the first tag; further comprises:
s10205, the sensing network platform calculates fourth data by adopting the same algorithm to obtain a third label, wherein the fourth data is data uploaded by the gas flowmeter terminal received by the sensing network platform;
s10206, the sensing network platform judges whether the third label is the same as the first label;
s10207, if the third label is the same as the first label, the sensing network platform sends out prompt information of data abnormality; the third tag is the same as the first tag, which means that the fourth data is the same as the combination of the first data and the second data, but the second data uploaded by the gas flow meter terminal may be tampered;
S10208, if the third label is different from the first label, the sensing network platform sends information to the gas flow meter terminal to require the gas flow meter terminal to upload the first data and/or the second data again; the third tag is different from the first tag, which indicates that the third data is different from the first data, and the first data and/or the second data is lost or tampered in the uploading process.
By adopting the scheme, the sensing network platform can verify the data uploaded by the gas flowmeter terminal, and can verify whether the received data is complete and real.
Example 6
Further, the method further comprises the following steps:
and S10209, after the sensor network platform finishes checking the received data, the gas flowmeter terminal deletes the checked data in response to the instruction sent by the sensor network platform.
By adopting the above scheme, through executing step S10209, the data stored in the local memory is periodically deleted, so as to avoid that new first data cannot be stored in the local memory due to insufficient capacity of the local memory.
Optionally, after the sensor network platform receives and verifies the first data, the sensor network platform sends the confirmation information to the gas flowmeter terminal, and the gas flowmeter terminal deletes the first data stored in the local memory according to the received confirmation information.
Example 7
Further, the internet of things system further comprises a management platform, and further comprises:
the management platform is communicated with the sensing network platform to acquire the equipment state of the gas flowmeter terminal and/or acquire the data uploaded to the sensing network platform by the gas flowmeter terminal and store the data.
The management platform can be arranged on the same server as the sensing network platform, can also be arranged on a server far away from the sensing network platform, can be communicated with one or more sensing network platforms, is in charge of being directly connected with the gas flowmeter terminal and collecting the working state of the gas flowmeter terminal, receives flow data uploaded by the gas flowmeter terminal, and sends the collected and received data to the management platform after the sensing network platform carries out preprocessing.
Optionally, one management platform may communicate with a maximum of 512 sensor network platforms, and one sensor network platform may communicate with a maximum of 1000 gas flow meter terminals. The management platform is internally provided with a database, and the data uploaded to the sensing network platform by the gas flowmeter terminal is preprocessed and then uploaded to the database of the management platform for storage by the sensing network platform.
Optionally, the data linked list including the gas flowmeter terminal UID and the gas flowmeter terminal networking state is also stored in the database of the management platform, and the management platform can read the data linked list from the database at any time to process and display or send the processed data to other platforms.
Optionally, the data link list in the database of the management platform is obtained by combining the data link lists of the sensor network platforms in communication with the management platform, each sensor network platform stores own data link list, so that the sensor network platform can quickly inquire the link list to determine the networking condition change of the gas flowmeter terminal. If the sensor network platform does not store the data linked list, the sensor network needs to be queried by the management platform every time of traversal, the query efficiency is low, and the occupation of system resources is large.
Example 8
Further, the method further comprises the following steps:
s103, after the network connection of the gas flowmeter terminal and the sensing network platform is disconnected, acquiring and detecting the time of disconnection of the gas flowmeter terminal and the sensing network platform;
optionally, in step S103, the management platform obtains a time when the connection between the gas flow meter terminal and the sensor network platform is disconnected according to the device state of the gas flow meter terminal obtained by communicating with the sensor network platform.
And S104, when the connection and disconnection time of the gas flow meter terminal and the sensing network platform exceeds a first threshold value, the management platform generates early warning information and sends the early warning information to a user terminal matched with the gas flow meter terminal.
Alternatively, in step S104, the time of the first threshold may be several hours, several days, or longer.
Optionally, in step S104, the management platform generates early warning information and sends the early warning information to a user terminal matched with the gas flowmeter terminal, where the early warning information is: the user who respect is concerned has disconnected the gas list of the address of XXX bound by you, the flow is XXX when disconnected, please check the gas list as soon as possible, if any doubt, please contact XXX, if the gas list is not on line at XXX time, the valve of the gas list is closed automatically.
The connection and disconnection between the gas flowmeter terminal and the sensor network platform are caused by various reasons, such as interference or power failure of a zone, but when the connection and disconnection time between the gas flowmeter terminal and the sensor network platform exceeds a first threshold value, the connection and disconnection between the gas flowmeter terminal and the sensor network platform caused by equipment faults and the like are caused, so that when the situation occurs, the management platform generates early warning information and sends the early warning information to a user terminal matched with the gas flowmeter terminal to remind a user to check the gas flowmeter terminal.
Example 9
Further, the method further comprises the following steps:
s103, after the network connection of the gas flowmeter terminal and the sensing network platform is disconnected, acquiring and detecting the time of disconnection of the gas flowmeter terminal and the sensing network platform;
optionally, in step S103, the management platform obtains a time when the connection between the gas flow meter terminal and the sensor network platform is disconnected according to the device state of the gas flow meter terminal obtained by communicating with the sensor network platform.
And S105, when the connection and disconnection time of the gas flowmeter terminal and the sensing network platform exceeds a second threshold value, the gas flowmeter terminal generates a valve closing signal to close the valve.
Alternatively, in step S105, the second threshold may be several hours, days or longer.
Optionally, the second threshold in step S105 needs to be greater than the first threshold in step S104. Specifically, the first threshold in step S104 is generally set to 24 hours, and the second threshold in step S105 is generally set to 72 hours.
When the connection and disconnection time of the gas flowmeter terminal and the sensing network platform exceeds a second threshold value, the gas flowmeter terminal is controlled to generate a valve closing signal to close the valve for gas safety.
Example 10
Further, the method further comprises the following steps: when the connection between the gas flowmeter terminal and the sensing network platform is detected, the gas flowmeter terminal responds to an externally input instruction to upload first data in the local memory to the sensing network platform.
When the condition of step S102 is satisfied, the gas flow meter terminal may automatically upload the first data in the local memory, or may upload the first data in the local memory in response to an instruction sent by the sensor network platform, or may upload the first data in the local memory in response to an instruction sent by a user terminal matched with the gas flow meter terminal.
Optionally, the sensor network platform determines a networking state of the gas flowmeter terminal according to the UID list, wherein the UID of the offline gas flowmeter terminal is moved into an offline equipment data link list, when the condition of step S102 is satisfied, after the gas flowmeter terminal establishes a link with the sensor network platform, the sensor network platform firstly queries the UID of the gas flowmeter terminal in a physical address-UID link list according to a physical address of the gas flowmeter terminal, then queries in the offline equipment data link list according to the queried UID, sends an instruction to the gas flowmeter terminal according to a query result in the data link list, and the gas flowmeter terminal uploads first data in a local memory in response to the instruction sent by the sensor network platform.
Optionally, the sensing network platform may further send an instruction to the gas flow meter terminal according to the network load of the sensing network and the bandwidth allowance of the sensing network platform, and when the network load of the sensing network is large or the bandwidth allowance of the sensing network platform is insufficient, the sensing network platform does not send an instruction to the gas flow meter terminal temporarily, so that network blocking caused by overlarge data size of the first data is avoided.
Further, when it is detected that the gas flow meter terminal is connected with the sensing network platform, the management platform responds to signals sent by the sensing network platform, information is sent to a user terminal matched with the corresponding gas flow meter terminal, the user terminal can establish connection with the gas flow meter terminal through near field communication after receiving the information, first data stored in the gas flow meter terminal is checked, an instruction is sent out, and the gas flow meter terminal responds to the instruction to upload the first data in the local memory.
Further, when it is detected that the gas flow meter terminal and the sensing network platform are connected, the management platform responds to signals sent by the sensing network platform, information is sent to a user terminal matched with the corresponding gas flow meter terminal, the user terminal can establish connection with the gas flow meter terminal through near field communication after receiving the information, meanwhile, the gas flow meter terminal sends first data to the user terminal through near field communication, the user terminal directly sends the received first data to the management platform through a network after preprocessing, if the user terminal does not have the capability of preprocessing the first data, the first data can be sent to the user terminal after preprocessing the format adjustment by the gas flow meter terminal, and the user terminal directly sends the received first data to the management platform through the network.
Example 11
The gas flowmeter terminal of the embodiment shown in fig. 2 comprises an MCU control unit, a data acquisition sensing unit, a communication unit and an off-line data storage unit, wherein the data acquisition sensing unit, the communication unit and the off-line data storage unit are connected with the MCU control unit. The communication unit comprises a network detection module and a data transmission module, wherein the network detection module is used for detecting the networking condition of the gas flowmeter terminal, and the MCU control unit sends out a corresponding control instruction according to the networking condition of the gas flowmeter terminal detected by the network detection module. The data transmission module is used for uploading the real-time flow data and/or the first data and/or the second data and acquiring information, data and instructions sent to the gas flowmeter terminal from outside. The offline data storage unit is used as a local memory to store the first data and/or the second data.
Example 12
As shown in fig. 3, the internet of things system of the embodiment includes a gas flowmeter object platform, a gas flowmeter sensor network platform, a smart gas management platform, a smart service platform and a user platform which are connected through a network. The gas flowmeter object platform consists of a plurality of gas flowmeter terminals, the intelligent service platform consists of a plurality of application functional entities, and the user platform consists of a plurality of user terminals;
The gas flow meter in the gas flow meter target platform is configured to perform the functions of the gas flow meter termination in any of the methods described above;
the gas flowmeter sensor network platform is configured to perform the functions of the sensor network platform in any one of the methods described above; optionally, the gas flowmeter sensor network platform comprises an equipment management module and a data transmission management module; the device management module is configured to perform network management, instruction management and device state management; the data transmission management module is configured to perform data protocol management, data analysis, data classification, data transmission monitoring and data transmission security management;
the intelligent gas management platform is configured to perform the functions of the management platform in any of the methods described above; optionally, the intelligent gas management platform comprises an equipment management sub-platform and a user center, wherein the equipment management sub-platform is configured to perform equipment running state monitoring management, metering data monitoring management, equipment parameter management and life cycle management; the data center comprises a data interaction module and a database;
the user terminal in the user platform is configured to perform the functions of the user terminal in any of the methods described above; optionally, the user terminals may be classified into gas user terminals, government user terminals, and supervisory user terminals according to user objects;
The intelligent service platform is configured as an API server or other server for establishing direct communication between the intelligent gas management platform and the user platform to realize corresponding functions; optionally, the intelligent service platform comprises an air utilization service application function entity, an operation service application function entity and a security service application function entity.
Further, the communication between the gas meter terminal, the background server and the user terminal adopts the following method: the gas flowmeter object platform and the gas flowmeter sensing network platform and the intelligent gas management platform are communicated by adopting an NB-IOT protocol or an LORA protocol, the gas flowmeter sensing network platform, the intelligent gas management platform, the intelligent service platform and the user platform are communicated by adopting the Internet, the user platform and the gas flowmeter object platform are communicated by adopting Bluetooth with low energy, and the user terminal can be bound with the gas flowmeter terminal in the user platform and the service platform by scanning a two-dimensional code or other methods on the gas flowmeter terminal.
Example 13
Further, the present embodiment provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor executes the computer program to implement any of the methods described above.
Example 14
Further, the present embodiment provides a computer readable storage medium, on which a computer program is stored, and a processor executes the computer program to implement any one of the above methods.
In some embodiments, the computer readable storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; but may be a variety of devices including one or any combination of the above memories. The computer may be a variety of computing devices including smart terminals and servers.
In the foregoing embodiments of the present disclosure, the descriptions of the various embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technical content may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of units may be a logic function division, and there may be another division manner in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable non-volatile storage medium. Based on such understanding, the technical solution of the present disclosure may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a non-volatile storage medium, including several instructions to cause a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the various embodiments of the present disclosure. And the aforementioned nonvolatile storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present disclosure and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present disclosure and are intended to be comprehended within the scope of the present disclosure.
Claims (7)
1. The gas flowmeter offline data management method based on the Internet of things is used for an Internet of things system, and the Internet of things system comprises a gas flowmeter terminal and a sensing network platform, and is characterized by comprising the following steps:
acquiring a network connection state of the gas flowmeter terminal and the sensing network platform;
when the gas flowmeter terminal is disconnected with the sensing network platform, the gas flowmeter terminal stores the acquired flow data with the time stamp as first data in a local memory;
when the gas flow meter terminal is connected with the sensing network platform, the gas flow meter terminal uploads the first data in the local memory to the sensing network platform;
wherein after the gas flowmeter terminal stores the collected flow data with the time stamp as first data in a local memory, the method further comprises:
Acquiring data information of the first data stored in the local memory;
according to the data information of the first data, when the first data which are not processed exist in the local memory, the gas flowmeter terminal processes the first data stored in the local memory, so that the first data conform to a preset data format;
after the gas flowmeter terminal uploads the first data in the local memory to the sensor network platform, the gas flowmeter terminal further comprises:
the sensing network platform performs data verification according to the first data;
the local memory also comprises second data, wherein the second data is flow data acquired by the gas flowmeter terminal for a preset period of time before the gas flowmeter terminal acquires the first data;
when the gas flowmeter terminal is disconnected with the sensing network platform, the gas flowmeter terminal stores the acquired flow data with the timestamp as first data in a local memory, and then the gas flowmeter terminal further comprises:
uploading the second data in the local memory to the sensor network platform;
The sensing network platform performs data verification according to the first data, and comprises the following steps:
the sensing network platform performs data verification according to the first data and the second data;
the sensing network platform also comprises third data, wherein the third data is data which is recorded in a database corresponding to the sensing network platform and has the same time period as the second data;
the sensing network platform performs data verification according to the first data and the second data, and comprises:
the gas flowmeter terminal calculates the combination of the first data and the second data by adopting a preset algorithm to obtain a first label; uploading the first label and the first data to the sensing network platform;
the sensor network platform calculates the combination of the first data and the third data by adopting the preset algorithm to obtain a second label;
the sensing network platform judges whether the second label is the same as the first label or not;
if the two types of the data are the same, checking is passed;
if not, the method further comprises the following steps:
the sensing network platform calculates fourth data by adopting the preset algorithm to obtain a third label, wherein the fourth data is data uploaded by the gas flow meter terminal received by the sensing network platform;
The sensing network platform judges whether the third label is the same as the first label or not;
if the third tag is the same as the first tag, the sensing network platform sends out prompt information of data abnormality, and the third tag is the same as the first tag, which indicates that the fourth data is the same as the combination of the first data and the second data, but the second data uploaded by the gas flow meter terminal may be tampered;
if the third tag is different from the first tag, the sensing network platform sends information to the gas flow meter terminal to require the gas flow meter terminal to upload the first data and/or the second data again.
2. The method for offline data management of a gas flow meter based on the internet of things according to claim 1, wherein the system of the internet of things further comprises a management platform, and further comprises:
the management platform is communicated with the sensing network platform to acquire the equipment state of the gas flowmeter terminal and/or acquire and store the data uploaded to the sensing network platform by the gas flowmeter terminal.
3. The method for offline data management of a gas flow meter based on the internet of things according to claim 2, further comprising:
After the network connection of the gas flowmeter terminal and the sensing network platform is disconnected, acquiring and detecting the time of disconnection of the gas flowmeter terminal and the sensing network platform;
when the connection and disconnection time of the gas flow meter terminal and the sensing network platform exceeds a first threshold, the management platform generates early warning information and sends the early warning information to a user terminal matched with the gas flow meter terminal.
4. The method for offline data management of a gas flow meter based on the internet of things according to claim 1, further comprising:
after the network connection of the gas flowmeter terminal and the sensing network platform is disconnected, acquiring and detecting the time of disconnection of the gas flowmeter terminal and the sensing network platform;
and when the time for disconnecting the gas flow meter terminal from the sensing network platform exceeds a second threshold value, the gas flow meter terminal generates a valve closing signal to close the valve.
5. The method for offline data management of a gas flow meter based on the internet of things according to claim 1, wherein when the gas flow meter terminal establishes a connection with the sensor network platform, the gas flow meter terminal uploads the first data in the local memory to the sensor network platform, comprising:
When the gas flow meter terminal is connected with the sensing network platform, the gas flow meter terminal responds to an externally input instruction to upload the first data in the local memory to the sensing network platform.
6. A computer device, characterized in that it comprises a memory in which a computer program is stored and a processor which executes the computer program, implementing the method according to any of claims 1-5.
7. A computer readable storage medium, having stored thereon a computer program, the computer program being executable by a processor to implement the method of any of claims 1-5.
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