CN114327065A - Data acquisition system and method for human-computer interaction perception - Google Patents
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Abstract
The invention discloses a data acquisition system and a data acquisition method for human-computer interaction perception, which belong to the technical field of human-computer interaction perception. According to the invention, by building a human body physiological information and environmental parameter information acquisition platform, different acquisition modes are defined and set for each sensor according to the characteristics of each sensor, and the integration level of the system is improved; the method comprises the steps of building a database storage system, storing sensing information and system states in real time, connecting the database storage system with a data evaluation platform, obtaining real-time communication of the database platform in real time, reading sensor parameters, carrying out real-time, intelligent and multi-dimensional evaluation on the working state of a human body and carrying out visual analysis, and solving the technical problems that in the current assembly process, the human body physiological signal acquisition means is single, the integration level is low, the wearing is inconvenient and the like.
Description
Technical Field
The invention relates to the technical field of human-computer interaction perception, in particular to a data acquisition system and a data acquisition method for human-computer interaction perception.
Background
The manufacturing industry is the main body of national economy, and is the basis of the founding, the prosperous and the strong country. The method creates a manufacturing industry with international competitiveness, and is a necessary way for China to promote comprehensive national strength, guarantee national security and build a strong country in the world. The large-scale electromechanical equipment is a system with high integration, high density and high complexity, which consists of various components, fasteners, elements and the like, a large number of units such as parts, electronic elements, fans, test cables and the like need to be installed in the assembling process, the assembling, debugging and disassembling processes are high in complexity, and the assembling space is very narrow.
In the in-process of assembly in narrow and small space, because space seals and physiological limitation, other objects bump in the easy and peripheral environment of body parts such as arm to can lead to the human body to be in the relatively poor operation gesture of comfort level for a long time, personnel are when carrying out the debugging operation, and physical power, eyesight and mental load are all great, greatly influence the result and the quality of debugging. Therefore, a data acquisition system and a data acquisition method for human-computer interaction perception are provided, human-computer interaction perception data analysis and tracking positioning technical research is developed, quantitative analysis is carried out on human-computer interaction data, and a measurement and analysis tool of the human-computer interaction data is provided for formulating a strategy for improving the overall assembly and operation and maintenance capacity of equipment in a narrow space.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: by integrating various physiological signals and environmental parameter sensors, the technical problems of single human physiological signal acquisition means, low integration level, inconvenience in wearing and the like in the current assembly process are solved, and the data acquisition system for human-computer interaction sensing is provided.
The invention solves the technical problems through the following technical scheme, and the system comprises a multi-mode sensor module, a data acquisition module, a database, a data evaluation platform and a display module;
the multi-mode sensor module is used for acquiring environmental parameter information and human body physiological parameter information;
the data acquisition module is used for acquiring environmental parameter information and human physiological parameter information acquired by the sensor in real time and transmitting the environmental parameter information and the human physiological parameter information to the database;
the database is used for receiving and storing the data transmitted by the data acquisition module;
the data evaluation platform is used for reading the sensor data stored in the database, analyzing the self state and the environment state of the operator and analyzing the state of the operator in a self-adaptive manner;
and the display module is used for carrying out real-time visual display on the data evaluation result, the system state, the human body state and the environmental information.
Furthermore, the multi-mode sensor module comprises a plurality of sensors, namely a myoelectricity acquisition module, a heart rate sensor, an electrocardio acquisition module, an eye tracker, a motion capture device and an environment sensor; the myoelectricity acquisition module is used for acquiring myoelectricity signals of an operator; the heart rate sensor is used for collecting the heart rate change condition of an operator; the electrocardio acquisition module is used for acquiring the change condition of the cardiac electric signal of an operator; the eye tracker is used for collecting the visual field change condition of an operator; the motion capture device is used for collecting the motion of an operator; the environment sensor comprises an illuminance sensor, a noise sensor, a temperature and humidity sensor and an oxygen content sensor and is used for measuring the illuminance, the noise, the temperature and the humidity and the oxygen content of the environment.
Furthermore, the data acquisition module assigns a plurality of data acquisition modes to each sensor in the multi-mode sensor module according to the data type acquired by each sensor, and a single sensor acquires a plurality of types of data, including resource data, system configuration data, verification data and alarm data.
Furthermore, in the data acquisition module, after the data of each sensor is received, the data is checked according to the check data in the sensor data, and if the data of the sensor is not checked, the data sampled by the sensor is damaged in the transmission process, and the sampling process needs to be completed again to ensure the integrity of the data.
Furthermore, in the data acquisition module, after the data verification process is completed, the acquired data is subjected to standardization processing, index consistency processing and non-dimensionalization processing are performed according to preset rules, and the non-dimensionalized sensor data is encoded, compressed and sent to the database through the network.
Furthermore, the myoelectricity acquisition module, the eye tracker and the motion capture device are communicated with the data acquisition module through RJ45 interfaces, and the heart rate sensor, the electrocardio acquisition module and the environment sensor are communicated with the data acquisition module through serial ports.
Further, the database is any one of a stand-alone database, a database cluster and a cloud virtual database.
Further, the implementation mode of the display module comprises any one of a liquid crystal display, a virtual reality display and an augmented reality display.
Furthermore, the database monitors the storage space, the system state and the task state of the database to realize real-time monitoring of the system state.
The invention also discloses a data acquisition method for human-computer interaction perception, which adopts the data acquisition system to acquire data and comprises the following steps:
s1: an operator wears the data acquisition garment integrated with the sensors, connects each sensor in the multi-mode sensor module with the data acquisition module, sets parameters, data acquisition modes, system settings and network communication parameters of each sensor in the data acquisition module, and acquires sensor data in real time;
s2: logging in a database, configuring database logging information, storage space and network parameters, and establishing a database data table according to the types of stored information to realize real-time storage of data;
s3: configuring network communication for the data acquisition module and the database;
s4: configuring input and output parameters of a data evaluation platform, realizing communication with a database, reading the parameters of the database in real time, and outputting an evaluation result to a display module in real time;
s5: the configuration display module is in network communication with the database and the data evaluation platform, and receives the evaluation result of the data evaluation platform in real time to display in real time; the display module simultaneously reads the system state and the log information in the database, and controls the database and the data acquisition system to carry out system setting of each module.
Compared with the prior art, the invention has the following advantages: according to the data acquisition system for human-computer interaction sensing, different acquisition modes are defined and set for each sensor according to the characteristics of each sensor by building a human physiological information and environment parameter information acquisition platform, so that the integration level of the system is improved; the method comprises the steps of building a database storage system, storing sensing information and system states in real time, connecting the database storage system with a data evaluation platform, obtaining real-time communication of the database platform in real time, reading sensor parameters, carrying out real-time, intelligent and multi-dimensional evaluation on the working state of a human body and carrying out visual analysis, and solving the technical problems that in the current assembly process, the human body physiological signal acquisition means is single, the integration level is low, the wearing is inconvenient and the like.
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FIG. 1 is a schematic structural diagram of a data acquisition system according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of a data acquisition method according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a data exchange manner between components of a data acquisition system according to an embodiment of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
Example one
As shown in fig. 1, the present embodiment provides a technical solution: a data acquisition system for human-computer interaction perception, which can improve the efficiency of data acquisition, comprises: a multimodal sensor module 110, a data acquisition module 200, a database 300, a data evaluation platform 400, and a display module 500.
In this embodiment, the multimodal sensor module 110 is a module composed of a plurality of sensors, and includes a myoelectricity collection module 120, a heart rate sensor 130, an electrocardiogram collection module 140, an eye tracker 150, a motion capture device 160, and an environmental sensor 170. The functions of the above modules are briefly described as follows: the myoelectricity collection module 120 can collect the electrical muscle signals of the operator; the heart rate sensor 130 may be used to collect the heart rate variation of the operator; the electrocardio acquisition module 140 can acquire the change condition of the cardiac electric signal of the operator; the eye tracker 150 can collect the visual field change of the operator; the motion capture device 160 is used for collecting the motion of the operator; the environment sensor 170 includes a light intensity sensor, a noise sensor, a temperature and humidity sensor, an oxygen content sensor, and the like, and can measure environmental parameters such as environment light intensity, noise, temperature and humidity, oxygen content, and the like.
In this embodiment, the data acquisition module 200 acquires the environmental parameter information and the human physiological parameter information acquired by the sensors in real time and transmits the acquired environmental parameter information and the human physiological parameter information to the database 300, generally speaking, the data acquisition module 200 may be any instruction interpretation and execution unit having a multi-channel high-speed real-time data acquisition and processing function, and may perform data interaction with the various sensors in the multi-modal sensor module 110 to control the sensors to execute the desired functions. In particular embodiments, data collection module 200 may receive instructions from software or modules that may cause data collection module 200 to perform the functions of one or more of the example embodiments described or illustrated herein.
In this embodiment, the database 300 is used for receiving and storing the data transmitted by the data acquisition module 200. In general, the database mentioned in this embodiment refers to a database in a broad sense, and is a software or hardware module having functions of data storage, data processing, data transmission and reception, which stores and processes the sensor data transmitted from the data acquisition module 200, and transmits the sensor data to the data evaluation platform 400 through a computer network. In the specific implementation process, the implementation form of the database 300 includes, but is not limited to, a stand-alone database, a database cluster, a cloud virtual database, and the like, and an appropriate implementation form is selected according to the size of the acquired data volume.
In this embodiment, the data evaluation platform 400 is configured to read the sensor data stored in the database 300, analyze the self state and the environmental state of the operator, and adaptively analyze the state of the operator. In general, the data evaluation platform 400 is a data processing module in a broad sense, and is not limited to a specific algorithm, and any process of acquiring the state of the operator by using sensor data through a data processing method may be applied to the present embodiment. The data evaluation platform 400 can also read the data in the database 300, perform real-time visual display through the display module 500, and evaluate the current status of the operator.
In the present embodiment, the display module 500 may have various implementations, including but not limited to a liquid crystal display, a virtual reality display, an augmented reality display, and the like. The display module 500 may display the following parameters: including but not limited to eye movement appearance hot spot cloud picture, visual flow direction sequence chart, heart rate, blood pressure, electrocardio-myoelectricity, eye movement information, motion capture information, ambient light illumination, noise, humiture and oxygen content etc. information, the user can carry out personalized customization.
As shown in fig. 2, the embodiment further provides a data acquisition method for human-computer interaction sensing, which performs data acquisition by using the data acquisition system, and provides a uniform data acquisition service, thereby improving the data acquisition efficiency, and includes the following steps:
step 101: collecting human body and environment data collected by each sensor in a data collection system, preprocessing the data, and customizing a plurality of collection modes;
step 102: and (3) acquiring environmental parameters and human physiological information in real time by using the multi-mode sensor module, preprocessing the data, developing software of an upper computer of a multi-mode platform and a storage database, and storing the data in real time.
Step 103: packing and compressing the data and sending the data to a data evaluation platform to visually display the data; and the design data evaluation platform is used for designing a program interface of the multi-mode data synchronous acquisition system so as to evaluate the state of the operator.
As shown in fig. 3, the data exchange mode between the components of the system is to perform hardware connection on the components of the system, so that the components of the system need to perform data exchange:
the myoelectricity collection module 120, the eye tracker 150 and the motion capture device 160 are in communication with the data collection module 100 through an RJ45 interface, and the heart rate sensor 130, the electrocardio collection module 140 and the environmental sensor 170 are in communication with the data collection module 100 through serial ports. It should be noted that the data connection is only a specific example of various communication methods, and any method capable of transmitting wired and wireless communication can be used for data communication in the embodiment of the present invention. In particular, the data collection module 200 can assign a plurality of data collection modes to each sensor in the multi-modal sensor module 110 according to the type of data collected by each sensor. A single sensor may include multiple types of data, such as: resource data, system configuration data, verification data, alarm data, and the like. The data acquisition module 200 can configure different data acquisition modes according to parameters such as data formats, acquisition speeds and the like of the sensors in the multi-modal sensor module 110, and compared with the traditional method that different sensors are respectively deployed with respective professional acquisition cards, the embodiment of the invention can avoid the waste of acquisition resources.
After the data of each sensor is received by the data acquisition module 200, the data can be checked according to the check data in the sensor data, if the sensor data does not pass the check, it indicates that the data sampled by the sensor is damaged in the transmission process, and the sampling process needs to be completed again to ensure the integrity of the data, that is, the data detection can ensure the integrity of the acquired original data as much as possible, so as to improve the reliability of the data evaluation result. After the data verification process is completed, the collected data needs to be standardized, and index consistency processing and non-dimensionalization processing can be performed according to preset rules, for example: the collected data of different sensors are processed into index data defined by index specifications by using methods such as a standard deviation standardization method, a range standardization method, a linear proportion standardization method and the like so as to solve the problem that the characteristics of the data of different sensors, such as dimension, order of magnitude and the like, are not matched.
In this embodiment, the data acquisition module 200 monitors the acquisition status of the sensor in real time, including: the system comprises a data acquisition task, a data reliability monitoring module, a node acquisition equipment state monitoring module and the like, can generate a comprehensive monitoring log to facilitate monitoring of workers, and gives an alarm in real time when acquisition abnormity occurs so as to find and process abnormity in time.
The data acquisition module 200 further has data processing and transmitting functions, and can encode, compress and transmit the non-dimensionalized sensor data to the database 300 through a network, and store the data in a standardized manner according to a predetermined format. In the implementation, the data acquisition module 200 is typically transmitted in JSON format.
It should be noted that, because the raw sensor data is large, in order to ensure real-time performance of network transmission, the sending data needs to be encoded and compressed, so as to reduce the bandwidth required by the network transmission process. In this embodiment, the network communication may adapt to various types of network interfaces according to different usage environments, including: wired connection modes such as RS232 serial ports, USB and Ethernet and wireless connection modes such as RF433/315M, Bluetooth and Zigbee.
After receiving the sensor data through network transmission, the database 300 may store the data in real time in a storage medium and manage the data through database software. It should be noted that the media used for storage include various forms of computer-readable storage media, such as volatile memory or non-volatile memory. Volatile memory can include read-only memory (RAM), cache memory (cache), or the like; the non-volatile memory may include a Read Only Memory (ROM), a hard disk, a flash memory, etc. The database software stores and manages the data by operating the storage medium, and can be called by the client software.
In the specific implementation process, the database 300 also needs to monitor its own state, and monitor its own storage space, system state, and task state, so as to monitor the system state in real time. The data interaction format of the database and the data evaluation platform is usually JSON format.
The data evaluation platform 400 may communicate with the database model 300 through a communication network, read sensor data stored in the database, and analyze and evaluate the state of the human body through the sensor data. It should be noted that the data evaluation platform 400 is a data processing module in a broad sense, and takes data read from the database 300 as input, and outputs the evaluation of the current physiological state of the human body as an important reference for the current work evaluation. The data evaluation platform 400 can support various evaluation algorithms, and can meet the evaluation of working states under different working conditions, environments and tasks. In the specific implementation process, the data evaluation platform 400 generally selects the XML format for data interaction because it needs to transmit the status information and sensor parameter information of various devices
The display module 500 is mainly responsible for performing real-time visual display on data evaluation results, system states, human body states and environmental information. In the specific implementation process, the display module mainly performs real-time visual display on information such as a real-time data acquisition result of the sensor, an operation state of the system, reliability of data acquisition, the number of acquisition nodes, parameters and the like, monitoring of the storage capacity of a disk where the database is located, monitoring of the operation state of the database, execution progress of tasks of the database, warning information prompt and the like. And when the acquisition and storage are abnormal, giving an alarm in real time at the eye position of the display module.
Example two
In this embodiment, the data acquisition method in the first embodiment is further described:
the first step is as follows: an operator wears the data acquisition clothes integrated with the sensors, connects the sensors with the data acquisition module, sets information such as parameters, data acquisition modes, system settings and network communication parameters of the sensors in the data acquisition module, and acquires the data of the sensors in real time.
The second step is that: logging in a network database, configuring information such as database logging information, storage space, network parameters and the like, and establishing a database data table according to the types of the stored information to realize real-time storage of data.
The third step: and configuring network communication between the data acquisition module and the database.
The fourth step: and configuring input and output parameters of the data evaluation platform, realizing communication with the database, reading the parameters of the database in real time, and outputting an evaluation result to the display module in real time.
The fifth step: the configuration display module is in network communication with the database and the data evaluation platform, and receives the evaluation result of the data evaluation platform in real time to display in real time; the display module can also read the system state and log information in the database, and can control the database and the data acquisition system to carry out system setting of each module.
To sum up, the data acquisition system and method for human-computer interaction sensing of the above embodiment define and set different acquisition modes for each sensor according to the characteristics of each sensor by building a human physiological information and environmental parameter information acquisition platform, so as to improve the integration level of the system; the method comprises the steps of building a database storage system, storing sensing information and system states in real time, connecting the database storage system with a data evaluation platform, obtaining real-time communication of the database platform in real time, reading sensor parameters, carrying out real-time, intelligent and multi-dimensional evaluation on the working state of a human body, carrying out visual analysis, solving the technical problems of single human body physiological signal acquisition means, low integration level, inconvenience in wearing and the like in the current assembly process, and being worthy of popularization and use.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A data acquisition system for human-computer interaction awareness, comprising: the system comprises a multi-mode sensor module, a data acquisition module, a database, a data evaluation platform and a display module;
the multi-mode sensor module is used for acquiring environmental parameter information and human body physiological parameter information;
the data acquisition module is used for acquiring environmental parameter information and human physiological parameter information acquired by the sensor in real time and transmitting the environmental parameter information and the human physiological parameter information to the database;
the database is used for receiving and storing the data transmitted by the data acquisition module;
the data evaluation platform is used for reading the sensor data stored in the database, analyzing the self state and the environment state of the operator and analyzing the state of the operator in a self-adaptive manner;
and the display module is used for carrying out real-time visual display on the data evaluation result, the system state, the human body state and the environmental information.
2. The data acquisition system for human-computer interaction perception of claim 1, wherein: the multi-mode sensor module comprises a plurality of sensors, namely a myoelectric acquisition module, a heart rate sensor, an electrocardio acquisition module, an eye tracker, a motion capture device and an environment sensor; the myoelectricity acquisition module is used for acquiring myoelectricity signals of an operator; the heart rate sensor is used for collecting the heart rate change condition of an operator; the electrocardio acquisition module is used for acquiring the change condition of the cardiac electric signal of an operator; the eye tracker is used for collecting the visual field change condition of an operator; the motion capture device is used for collecting the motion of an operator; the environment sensor comprises an illuminance sensor, a noise sensor, a temperature and humidity sensor and an oxygen content sensor and is used for measuring the illuminance, the noise, the temperature and the humidity and the oxygen content of the environment.
3. The data acquisition system for human-computer interaction perception of claim 2, wherein: the data acquisition module is used for assigning various data acquisition modes to each sensor in the multi-mode sensor module according to the data types acquired by each sensor, and a single sensor acquires various types of data including resource data, system configuration data, verification data and alarm data.
4. The data acquisition system for human-computer interaction perception of claim 3, wherein: in the data acquisition module, after data of each sensor is received, the data is checked according to check data in the sensor data, if the data of the sensor is not checked, the data sampled by the sensor is damaged in the transmission process, and the sampling process needs to be completed again to ensure the integrity of the data.
5. The data acquisition system for human-computer interaction perception of claim 4, wherein: in the data acquisition module, after the data verification process is completed, the acquired data is subjected to standardization processing, index consistency processing and non-dimensionalization processing are performed according to preset rules, and the non-dimensionalized sensor data is encoded, compressed and sent to a database through a network.
6. The data acquisition system for human-computer interaction perception of claim 1, wherein: the myoelectricity acquisition module, the eye tracker and the motion capture device are communicated with the data acquisition module through RJ45 interfaces, and the heart rate sensor, the electrocardio acquisition module and the environment sensor are communicated with the data acquisition module through serial ports.
7. The data acquisition system for human-computer interaction perception of claim 1, wherein: the database is any one of a stand-alone database, a database cluster and a cloud virtual database.
8. The data acquisition system for human-computer interaction perception of claim 1, wherein: the display module is realized in any one of a liquid crystal display, a virtual reality display and an augmented reality display.
9. The data acquisition system for human-computer interaction perception of claim 1, wherein: the database monitors the storage space, the system state and the task state of the database to realize real-time monitoring of the system state.
10. A data acquisition method for human-computer interaction perception, characterized in that the data acquisition system according to any one of claims 1-9 is adopted for data acquisition, and the method comprises the following steps:
s1: an operator wears the data acquisition garment integrated with the sensors, connects each sensor in the multi-mode sensor module with the data acquisition module, sets parameters, data acquisition modes, system settings and network communication parameters of each sensor in the data acquisition module, and acquires sensor data in real time;
s2: logging in a database, configuring database logging information, storage space and network parameters, and establishing a database data table according to the types of stored information to realize real-time storage of data;
s3: configuring network communication for the data acquisition module and the database;
s4: configuring input and output parameters of a data evaluation platform, realizing communication with a database, reading the parameters of the database in real time, and outputting an evaluation result to a display module in real time;
s5: the configuration display module is in network communication with the database and the data evaluation platform, and receives the evaluation result of the data evaluation platform in real time to display in real time; the display module simultaneously reads the system state and the log information in the database, and controls the database and the data acquisition system to carry out system setting of each module.
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