CN117670022A

CN117670022A - Data acquisition method and device, electronic equipment and storage medium

Info

Publication number: CN117670022A
Application number: CN202311367915.1A
Authority: CN
Inventors: 郭喜峰
Original assignee: Beijing Teamsun Technology Co ltd
Current assignee: Beijing Teamsun Technology Co ltd
Priority date: 2023-10-20
Filing date: 2023-10-20
Publication date: 2024-03-08

Abstract

The embodiment of the invention discloses a data acquisition method, a device, electronic equipment and a storage medium, which are applied to a third party security management platform, wherein the method comprises the following steps: dangerous source state data acquired by an enterprise side sensor are received; identifying the category of the dangerous source state data; and calling an analysis model corresponding to the category, and analyzing the dangerous source state data to obtain a dangerous source state evaluation result. The technical scheme provided by the embodiment of the invention can effectively reduce the Internet of things perception data acquisition cost of enterprises.

Description

Data acquisition method and device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a data acquisition method, a data acquisition device, an electronic device, and a storage medium.

Background

In the daily safety production process, monitoring the dangerous source is very necessary, because it helps to prevent accidents, ensure the safety of operators and improve the production efficiency, thereby ensuring the safety production and sustainable development of enterprises. Currently, each enterprise typically deploys an acquisition server and a plurality of terminal sensors in its own internal environment, as shown in fig. 1, where enterprise 1 deploys an acquisition server 1 and a sensor 1, and a sensor 2 … … sensor m; enterprise 2 is deployed with acquisition server 2 and sensor 1, sensor 2 … … sensor n; enterprise L is deployed with collection server L and sensor 1, sensor 2 … … sensor k. The acquisition server is in message butt joint with each terminal sensor, acquires dangerous source data and state monitoring in real time, and further remotely reports the dangerous source data and state monitoring to a third party safety management platform for subsequent processing such as data pushing, early warning and protection.

However, the above implementation requires the enterprise to invest a large amount of funds for purchasing, installing and maintaining the hardware devices of the acquisition server, and corresponding software development and system integration, and also requires the professional to manage and operate the acquisition server, which increases the labor cost of the enterprise.

Disclosure of Invention

In view of the above, the embodiments of the present invention provide a data acquisition method, apparatus, electronic device, and storage medium, so as to effectively reduce the cost of data acquisition perceived by an enterprise in an internet of things manner.

In a first aspect, an embodiment of the present invention provides a data collection method, applied to a third party security management platform, where the method includes:

dangerous source state data acquired by an enterprise side sensor are received;

identifying the category of the dangerous source state data;

and calling an analysis model corresponding to the category, and analyzing the dangerous source state data to obtain a dangerous source state evaluation result.

Further, receiving dangerous source state data collected by the enterprise side sensor, including:

and receiving the collected dangerous source state data sent by the enterprise side sensor based on the dynamic IP address by setting a data collection port.

Further, identifying the category of the hazard source state data includes:

invoking a preprocessing model corresponding to the model of the sensor at the enterprise side, and performing internal format conversion on the dangerous source state data;

and identifying the category of the dangerous source state data after format conversion.

Further, the hazard source state data includes a plurality of categories of state data;

invoking an analysis model corresponding to the category, analyzing the dangerous source state data to obtain a dangerous source state evaluation result, wherein the method comprises the following steps:

and for each type of state data, calling a corresponding analysis model to analyze the type of state data, and judging whether the state data exceeds a preset alarm range.

Further, after calling the analysis model corresponding to the category and analyzing the dangerous source state data to obtain a dangerous source state evaluation result, the method further comprises:

after judging that all kinds of state data do not exceed, checking whether different kinds of state data with association relation meet corresponding association conditions, and if not, giving an alarm.

In a second aspect, an embodiment of the present invention provides a data acquisition device applied to a third party security management platform, where the device includes:

the receiving unit is used for receiving dangerous source state data acquired by the enterprise side sensor;

the identification unit is used for identifying the category of the dangerous source state data;

and the analysis unit is used for calling an analysis model corresponding to the category and analyzing the dangerous source state data to obtain a dangerous source state evaluation result.

Further, the receiving unit is configured to receive dangerous source status data collected by the enterprise side sensor, and includes:

Further, the identifying unit is configured to identify a category of the hazard source state data, and includes:

the analyzing unit is used for calling an analyzing model corresponding to the category, analyzing the dangerous source state data and obtaining a dangerous source state evaluation result, and comprises the following steps:

Further, the device further includes an alarm unit, configured to, after the analysis unit invokes the analysis model corresponding to the category, analyze the dangerous source state data to obtain a dangerous source state evaluation result:

In a third aspect, an embodiment of the present invention provides an electronic device, including: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space surrounded by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; the processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory, for executing the data acquisition method described in the foregoing first aspect.

In a fourth aspect, embodiments of the present invention further provide a computer readable storage medium storing one or more programs executable by one or more central processing units to implement the data acquisition method described in the foregoing first aspect.

Drawings

In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic diagram of a data acquisition network architecture provided in the background of the invention;

fig. 2 is a schematic diagram of a data acquisition network architecture according to an embodiment of the present invention;

FIG. 3 is a flowchart of a data acquisition method according to a first embodiment of the present invention;

fig. 4 is a schematic structural diagram of a data acquisition device according to a second embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

It should be understood that the described embodiments are merely some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The technical scheme of the invention can be applied to a network architecture consisting of a third party security management platform and a plurality of terminal sensors at the enterprise side. Referring to fig. 2, the third party security management platform is respectively connected with the following sensors of enterprises: sensor 1, sensor 2, … …, sensor m of enterprise 1; sensor 1 of enterprise 2, sensor 2 … … sensor n; … …; sensor 1, sensor 2, … …, sensor k of enterprise L. The third party security management platform can be a cloud platform developed by a third party service provider, is used as a core control platform for security production management, is directly connected with each terminal sensor at the enterprise side respectively, collects state data of enterprise dangerous sources, and realizes security monitoring and management of the enterprise dangerous sources; the enterprise side can deploy one or more terminal sensors according to the production condition of the enterprise side to sense and report the dangerous source state data. The number and model of each terminal sensor deployed by different enterprises may be the same or different.

The following describes the technical scheme of the present invention in detail through embodiments based on the network architecture.

Example 1

The present embodiment provides a data acquisition method, which may be performed by a corresponding data acquisition device, where the device may be deployed on a third party security management platform side in the network architecture shown in fig. 2. Referring to fig. 1, the method specifically includes the following steps 301-303.

Step 301, dangerous source state data collected by an enterprise side sensor is received.

In this step, the enterprise deploys a plurality of terminal sensors (referred to as enterprise-side sensors) in its own internal environment in advance, for monitoring the states of various hazard sources. These sensors collect real-time hazard source status data and send it to a third party security management platform by way of wired, wireless network or internet of things (IoT) or the like. The hazard source status data collected by the deployed plurality of enterprise-side sensors may include various different types of parameters, such as real-time values of ambient temperature, humidity, gas concentration, pressure, and other hazard source related status parameter values. For a single end sensor, one or more categories of hazard source status data may be collected.

And the third party safety management platform receives dangerous source state data acquired by the enterprise side sensor in real time. To enable data reception, the third party security management platform needs to establish a messaging mechanism or interface with the enterprise-side sensor. As a preferred embodiment, the third party security management platform receives the collected dangerous source state data sent by the enterprise side sensor based on the dynamic IP address by setting a data collection port. The preferred mode improves the IP address of the traditional enterprise side sensor from a fixed IP address to a variable IP address, and improves the receiving port from a variable port of a variable acquisition server to a fixed port of a third party security management platform, and has the following advantages:

flexibility and extensibility: the sensor with the variable IP address can be more flexibly adapted to the change of the internal network of the enterprise; when an enterprise carries out network topology adjustment, equipment replacement or sensor addition, the variable IP address can be easily adjusted without modifying the fixed IP address of the sensor, so that maintenance and management work can be simplified, and the expansibility of the system is improved;

safety: the use of a variable IP address can increase the security of the system; traditional fixed IP addresses are easy to be threatened by network attack and intrusion, an attacker can locate an enterprise side sensor by scanning the IP address range and make unauthorized access, and the variable IP address makes the position of the sensor more difficult to be determined by the attacker, so that the safety of the system is improved;

simplified configuration and management: the receiving port is improved to be a fixed port of a third party security management platform, so that configuration and management are simpler; the ports of the traditional acquisition server can be changed continuously, frequent configuration modification and adjustment are needed, and the ports are fixed on a third-party security management platform, so that the complexity of configuration can be reduced, and meanwhile, the management and maintenance work is simplified;

the cost is reduced: by improving the IP address and the receiving port of the sensor, the cost of enterprises can be reduced; firstly, the sensor for maintaining the fixed IP address is not needed, so that the work of allocation and management of the fixed IP address is omitted, and the labor and time cost is reduced; second, a fixed port third party security management platform may reduce maintenance and configuration costs associated with the acquisition server.

Step 302, identify the category of the received hazard source status data.

After the dangerous source state data is received, the third party safety management platform can firstly call a preprocessing model corresponding to the model of the sensor at the enterprise side, perform internal format conversion on the received dangerous source state data, and then identify the type of the dangerous source state data after format conversion. Specifically, the following operations may be included:

selecting a corresponding preprocessing model according to the model of the enterprise side sensor for sending the dangerous source state data, wherein the preprocessing model can be a model based on a machine learning algorithm or rules; converting the original data acquired by the enterprise side sensor into a uniform internal format by using the selected preprocessing model;

identifying each category of data contained in the format-converted hazard source state data, wherein the category may include at least one of: temperature-type data, pressure-type data, flow rate-type data, and chemical-type data.

In practical application, the data formats collected by the enterprise-side sensors of the same model conform to the same standard, and the enterprise-side sensors of different models may adopt different data structures and communication protocols, so that the data formats output by the enterprise-side sensors are different, and the format conversion operation is different.

After the internal format conversion is completed, at least one of the following parameters may be passed: the data position, the value range and the data unit identify each class of data contained in the dangerous source state data. The data of different categories often differ in location in the data format, for example, temperature data may be located in a particular field of a data frame, while pressure data may be located in another field, and by analyzing the location of the data, the category to which the data belongs may be initially determined. The different categories of data typically have different ranges of values, e.g., the range of temperature data may be within a particular temperature interval and the range of pressure data may be within another interval, and the categories of data may be further determined by analyzing the range of values of the data. The different categories of data also typically have different units, for example, the temperature data may be in degrees celsius (c) and the pressure data may be in pascals (Pa), and by analyzing the units of data, the category to which the data belongs may also be identified. Preferably, the identification sequence of each parameter is: the method comprises the steps of determining the rough category of data through the data position, further subdividing the category through the value range, and finally carrying out auxiliary confirmation through the data unit. The optimal selection mode can reduce misjudgment to the greatest extent and improve accurate identification of various types of data contained in the dangerous source state data.

Optionally, the preprocessing model further performs at least one preprocessing operation after converting the raw data collected by the enterprise-side sensor into a unified internal format:

data cleaning: deleting or correcting errors, missing, abnormal or irrelevant information in the data, such as a temperature reading that one sensor may have made wrong due to a fault, needs to be corrected or eliminated;

feature extraction: meaningful information or features are extracted from the raw data, such as trends or fluctuation magnitudes from successive temperature readings.

And 303, calling an analysis model corresponding to the category, and analyzing the received dangerous source state data to obtain a dangerous source state evaluation result.

In this step, a corresponding analytical model may be selected according to the type of the recognized dangerous source state data. For example, for temperature data, an analytical model for temperature changes may be selected; for the flow rate data, a analytical model is selected that specifically processes the flow rate. The preprocessed hazard source state data is then input into a selected analytical model, from which the input data will be analyzed according to its internal algorithms and logic, from which state information about the hazard source is extracted, which information may include, for example, trends in the data, potential risk points, possible failure predictions, etc. The results output by the analytical model may be continuous values, class labels, or other forms of data, and the output results may be further interpreted as a specific assessment of the state of the hazard source, e.g., a continuously rising temperature reading may be interpreted as a potential risk of overheating.

Typically, the dangerous source state data includes state data of a plurality of categories, and the method calls an analysis model corresponding to the category to analyze the dangerous source state data to obtain a dangerous source state evaluation result, and includes: and for each type of state data, calling a corresponding analysis model to analyze the type of state data, and judging whether the state data exceeds a preset alarm range. The alarm ranges corresponding to the different types of state data are different, and can be specifically set by a person skilled in the art according to specific requirements and safety standards, for example, the alarm range of the temperature data can be within a certain temperature range, the alarm range of the pressure data can be within a certain pressure range, and the like.

On the basis of the above scheme, after the analysis model corresponding to the category is called and the dangerous source state data is analyzed to obtain the dangerous source state evaluation result, the data acquisition method provided by the embodiment further includes:

Specifically, if it is determined that all the state data do not exceed the preset alarm range, further verification of whether the association condition of all the state data with the association relationship is satisfied is required. Firstly, determining association relations between different types of state data offline, and defining association conditions, such as the humidity and the temperature, wherein the humidity is in a certain range when the temperature exceeds a certain threshold value; then, according to the association relation determined offline, extracting associated state data of different categories from the preprocessed dangerous source state data, for example, if the association relation is temperature and humidity, acquiring analyzed temperature data and humidity data; for each associated condition, it is determined whether the associated data satisfies the condition. If any number of association conditions are not satisfied, namely association data are not satisfied, an alarm mechanism is triggered, wherein the alarm can be a data acquisition error alarm or a danger alarm, and the alarm mode can be alarm generation, notification sending, log recording and the like so as to take corresponding measures to handle abnormal conditions. The embodiment can further improve the reliability and safety of data acquisition, discover and process possible problems in time, and prevent potential dangerous situations.

Example two

The embodiment provides a data acquisition device, which can be used for executing the data acquisition method according to the embodiment of the invention, and the device can be realized by software and/or hardware and is deployed on a third party security management platform side in a network architecture shown in fig. 2. Referring to fig. 4, the apparatus specifically includes the following units:

a receiving unit 401, configured to receive dangerous source status data collected by an enterprise sensor;

an identifying unit 402, configured to identify a category of the hazard source state data;

and the parsing unit 403 is configured to invoke a parsing model corresponding to the category, parse the dangerous source state data, and obtain a dangerous source state evaluation result.

Illustratively, the receiving unit 401 is configured to receive hazard source status data collected by an enterprise sensor, and includes:

Illustratively, the identifying unit 402 is configured to identify a category of the hazard source status data, including:

Illustratively, the hazard source status data includes a plurality of categories of status data;

the parsing unit 403 is configured to invoke a parsing model corresponding to the category, parse the dangerous source state data, and obtain a dangerous source state evaluation result, where the parsing unit includes:

The apparatus further includes an alarm unit 404, configured to, after the parsing unit 403 invokes the parsing model corresponding to the category, parse the dangerous source state data to obtain a dangerous source state evaluation result:

The data acquisition device provided in this embodiment belongs to the same inventive concept as the foregoing method embodiment, and technical details not described in this embodiment may refer to the related description in the foregoing method embodiment, which is not repeated herein.

Fig. 5 is a schematic structural diagram of an embodiment of an electronic device according to the present invention, where a flow of a first embodiment of the present invention may be implemented, as shown in fig. 5, where the electronic device may include: the processor 52 and the memory 53 are arranged on the circuit board 54, wherein the circuit board 54 is arranged in a space surrounded by the shell 51; a power supply circuit 55 for supplying power to the respective circuits or devices of the above-described electronic apparatus; the memory 53 is for storing executable program code; the processor 52 executes a program corresponding to the executable program code by reading the executable program code stored in the memory 53 for performing the data acquisition method described in any of the foregoing embodiments.

The specific implementation of the above steps by the processor 52 and the further implementation of the steps by the processor 52 through the execution of the executable program code may be referred to as the description of the first embodiment of the present invention, and will not be repeated herein.

The electronic device may be a server, i.e. a device providing a computing service, the server may be configured by a processor, a hard disk, a memory, a system bus, etc., and the server may be similar to a general computer architecture, but may have high requirements in terms of processing power, stability, reliability, security, scalability, manageability, etc. due to the need to provide a highly reliable service.

Furthermore, the embodiment of the present invention provides a computer readable storage medium storing one or more programs executable by one or more central processing units to implement the data acquisition method described in the foregoing embodiment.

The technical scheme provided by the embodiment of the invention has the following advantages:

firstly, by transferring the task of data acquisition to a third party security management platform, the enterprise can be prevented from inputting a large amount of funds to purchase and maintain the hardware equipment of the acquisition server, so that the hardware cost of the enterprise can be reduced, and the investment of system integration and software development related to the acquisition server is reduced;

secondly, by carrying out data analysis and state evaluation processing on a third party security management platform, the labor cost of enterprises is reduced, and the enterprises do not need special personnel to manage and operate and maintain the acquisition server;

in addition, the data analysis and the state evaluation are carried out according to the analysis model matched with the corresponding category, so that the accuracy and the efficiency of data acquisition can be improved, specific processing can be carried out according to the category of the dangerous source state data, the accuracy and the reliability of an evaluation result are ensured, potential safety hazards and dangerous sources can be found in time, corresponding early warning and protection measures are adopted, and the efficiency and the accuracy of safety management are improved.

It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

In the embodiment of the invention, the term "and/or" describes the association relation of the association objects, which means that three relations can exist, for example, a and/or B can be expressed as follows: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

In this specification, each embodiment is described in a related manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.

In particular, for the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.

For convenience of description, the above apparatus is described as being functionally divided into various units/modules, respectively. Of course, the functions of the various elements/modules may be implemented in the same piece or pieces of software and/or hardware when implementing the present invention.

Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present invention should be included in the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims

1. A data collection method, characterized in that it is applied to a third party security management platform, the method comprising:

dangerous source state data acquired by an enterprise side sensor are received;

identifying the category of the dangerous source state data;

2. The method of claim 1, wherein receiving hazard source status data collected by the enterprise-side sensor comprises:

3. The method of claim 1, wherein identifying the category of hazard source status data comprises:

4. The method of claim 1, wherein the hazard source status data comprises a plurality of categories of status data;

5. The method of claim 4, wherein after invoking the parsing model corresponding to the category and parsing the hazard state data to obtain the hazard state evaluation result, the method further comprises:

6. A data acquisition device for use with a third party security management platform, the device comprising:

7. The apparatus of claim 6, wherein the receiving unit is configured to receive hazard source status data collected by the enterprise-side sensor, and comprises:

8. The apparatus according to claim 6, wherein the identifying unit is configured to identify a category of the hazard source status data, and includes:

9. The apparatus of claim 6, wherein the hazard source status data comprises a plurality of categories of status data;

10. The apparatus according to claim 9, further comprising an alarm unit configured to parse the hazard state data after the parsing unit invokes the parsing model corresponding to the category to obtain the hazard state evaluation result:

11. An electronic device, the electronic device comprising: the device comprises a shell, a processor, a memory, a circuit board and a power circuit, wherein the circuit board is arranged in a space surrounded by the shell, and the processor and the memory are arranged on the circuit board; a power supply circuit for supplying power to each circuit or device of the electronic apparatus; the memory is used for storing executable program codes; a processor executes a program corresponding to the executable program code by reading the executable program code stored in the memory for performing the data acquisition method of any one of the preceding claims 1-5.

12. A computer readable storage medium storing one or more programs executable by one or more central processing units to implement the data collection method of any of claims 1-5.