TWI403961B - Automatic operation planning system and method for assessing the physiological, action and environmental signals of organisms - Google Patents

Abstract

The present invention provides an automatic operation planning system and method for performing evaluation based on biological physiology, movement and environment signals. The system includes: a biology and environment signal capture processing module, which comprises a physiology signal sensor, an environment signal sensor and a signal processor; an achievement evaluation indicator computing module connected to the biology and environment signal capture processing module for converting the sensed and processed signals into the achievement evaluation indicator; a database for providing manufacture related information and; and an automatic operation planning module connected to the achievement evaluation indicator computing module and the database for using the achievement evaluation indicator and the database to proceed with applications related to operation adjustment. The system and method disclosed by the present invention allow the automatic operation programmer to fast realize the actual and objective physiology status of personnel, environment status and manufacture related information in real time via the system, so as to execute more suitable management items, such as work distribution, operation schedule planning, user-machine interaction, prevention of personnel fatigue and error, etc.

Description

Automatic operation planning system and method for evaluating physiological, motion and environmental signals of living organisms

The present invention relates to an automated job planning system and method, and more particularly to an innovative designer that evaluates based on biological physiology, motion, and environmental signals.

According to the fierce global competition, short delivery period, rapid development of technology and consumer-oriented market environment, in order to respond to the rapidly changing market conditions, the enterprise will need to grasp and deal with the huge manufacturing information of the manufacturing site more immediately.

The definition of "smart factory" is to collect the information of the work site by using the sensory sensing technology, and to calculate the data to obtain more accurate production information for the enterprise to make decisions, and then feedback to the site to assist the personnel and machine operations. A novel architecture.

Moreover, even if the degree of automation in the future is getting higher and higher, there are still many jobs that need personnel coordination; however, at present, this kind of intelligent factory structure often does not take into account the personnel factors; thus, from From the perspective of a variety of operational processes, it is easy to derive some problems and shortcomings. For example, in terms of work-distributed work items, it is often difficult for managers to quickly understand the workload of each operator, and the allocation of their work is often lacking objective. Based on the problem of uneven distribution of work and inappropriate conditions, resulting in poor fluency of the overall production system; as far as the work schedule planning work is concerned, since job scheduling is a rather complicated task, Considering many aspects, but because the existing schedules are used to obtain the operator's load and ability data, they are still judged by the rule of thumb. Therefore, it is impossible to obtain objective operator load information and operating environment information, so it is difficult to achieve fast, appropriate and comprehensive. Job scheduling.

Therefore, in response to the above-mentioned conventional problems, how to develop an innovative system and method design that can be more ideal and practical, and it is necessary for the relevant industry to think about the goals and directions of breakthrough.

In view of this, the inventor has been engaged in the manufacturing development and design experience of related products for many years. After detailed design and careful evaluation, the inventor has finally obtained the practical invention.

The main object of the present invention is to provide an automatic operation planning system and method for evaluating physiological, motion and environmental signals according to a living body, and the problem to be solved is that the existing automatic operation architecture does not take into consideration the personnel factor, and It is difficult to achieve a fast, appropriate and comprehensive management effect to improve the breakthrough.

The technical feature of the present invention is to systematically comprise: a biological and environmental signal acquisition processing module comprising a physiological signal sensor, an environmental signal sensor and a signal processor; The indicator calculation module is coupled with the biological and environmental signal acquisition processing module to convert the sensed and processed signals into performance evaluation indicators; a database for providing manufacturing related information; an automatic operation planning The module is linked to the performance evaluation index calculation module and the database to use the performance evaluation index and the database data to perform related operations adjustment; thereby, the innovative and unique design makes the present invention compare with the prior art. The utility model can substantially achieve the following advantages: the invention enables the automatic operation planning manager to quickly and accurately understand the actual and objective physical state of the person, the environmental state and the manufacturing related information through the system, thereby performing a more perfect and appropriate work distribution, Work schedule planning, human-computer interaction, and prevention of personnel fatigue, mistakes and other management matters.

Please refer to FIG. 1 , which is a preferred embodiment of the automatic operation planning system and method for evaluating the physiological, operational and environmental signals of the present invention, but the embodiments are for illustrative purposes only, and are applied for patent applications. The automatic operation planning system 10 for evaluating the physiological, motion, and environmental signals of the living body includes the following components: a biological and environmental signal extraction processing module 11 including a physiological signal sense. The detector 111, the ambient signal sensor 112 and the signal processor 113 are configured; a performance evaluation index calculation module 12 is coupled to the biological and environmental signal acquisition processing module 11 for sensing and processing The signal is converted into a performance evaluation indicator; a database 13 is provided to provide manufacturing-related information (for example, using an ERP enterprise resource management system, an MES professional manufacturing execution system, etc.); an automatic operation planning module 14 is associated with the performance evaluation The index calculation module 12 and the database 13 are connected to use the performance evaluation index and the data in the database 13 to perform related job adjustment.

The physiological signal sensor 111 of the biological and environmental signal capture module may include a physiological signal sensor and an action signal sensor; the environmental signal sensor 112 may include a light sensor and a sound sense. One of the detector, the temperature sensor, and the humidity sensor, or any combination thereof. The motion signal sensor can be a motion sensor, which is a mobile motion capture system, and uses a MEMS (ie, Micro Electro Mechanical Systems; inertial sensor) inertial sensor to sense the whole body motion. The wireless transmission technology instantly returns the six degrees of freedom of the sensor, including the angle of rotation in three dimensions and the coordinate position.

The physiological signal sensor 111 is used to measure the following physiological signals: EEG (electron brain wave map), EMG (electromyogram), ECG/EKG (electrocardiogram), EOG (electronogram), breathing, temperature , heartbeat, BVP, etc.

The signal processor of the biological and environmental signal acquisition module 11 is at least one of a sampling device and a filtering device.

Among them, the manufacturing related information provided by the database 13 includes production information, operator information, and machine information.

The performance evaluation indicators converted by the performance evaluation index calculation module 12 are classified into at least the following four categories: one: human mechanics and posture related indicators; (such as RULA, OWAS, biomechanical model); second: human body Workload related indicators; (such as physiological load, mental load, fatigue); Third: environmental factor assessment indicators. (such as light brightness, noise, temperature, humidity, etc.); Fourth: personnel performance evaluation indicators.

The application related to the job adjustment by the automatic operation planning module 14 is at least one of the following applications:

1. Work schedule planning;

2. Work distribution;

3. Error prevention and human-computer interaction adjustment.

Next, as shown in FIG. 2, in terms of the method aspect of the present invention, the method includes:

(a) extracting information on organisms and the environment through sensing means, and transmitting data to the computer for signal processing using wireless or wired networks. Different signals are matched with corresponding algorithms and signal processing methods;

(b) Converting the sensed and processed signals into performance evaluation indicators;

(c) provide a database to provide manufacturing-related information as a reference for automated operation planning;

(d) Provided to an automated job planning system application by the performance evaluation indicators and manufacturing related information.

According to the above system configuration and method description, the application situation of the present invention is described as follows: the operator can wear a motion sensor and a physiological sensor, and can transmit the human body motion data by wireless transmission. The physiological signal is transmitted to the host computer; in the working environment, a little environmental sensor is installed, which can be used to monitor the surrounding environment variables and transmit it to a computer host by wired or wireless transmission. The computer host can process and calculate the above signals, and then use the data of the database to carry out automatic operation planning, and can transmit the information to the management personnel by using a wired or wireless network as a reference for decision making. Three possible application aspects of the invention are listed below:

1. Instant work distribution:

The performance evaluation indicators converted from the signals captured on site can immediately provide the workload of each operator of the management personnel, and match the production information and machine information in the database, which can be used as an objective basis for work distribution. Possible applications, such as when there is an urgent order insertion in production, the manager will be able to immediately dispatch the most suitable operator (such as low workload, work capacity) to maintain the smooth flow of the overall production system; It is also possible to immediately understand the physiological state of the workers through the physiological signal sensing mechanism, so that the manager can adjust the work or pay attention, and can effectively avoid problems such as fatigue and mistakes.

2. Job scheduling:

Job scheduling is a complex task that requires consideration of many aspects, such as production hours, orders, machine status, number of operators, operator load and capacity, etc., but the existing schedules are for job load and capacity data. Obtained is judged by the rule of thumb. The system can provide objective operator load information and working environment information, and then match the production and machine information in the database, which can be used for faster and more comprehensive job scheduling.

3. Human-computer interaction:

Under the current smart factory structure, the production and machine information can be quickly obtained. The system can be used to obtain the information of the personnel immediately. The possible applications, such as when the factory does not need mass production, the system can reduce the machine capacity. Transfer the work to the operator to reduce the energy consumption of the machine, thereby reducing the power and pollution; or when the system determines that the work efficiency of the operator is declining, it can automatically generate some stimulus to the operator to restore its performance.

Advantages of the invention:

The automatic operation planning system and method for evaluating physiological, motion and environmental signals according to the invention are mainly related to the biological and environmental signal acquisition processing module, the performance evaluation index calculation module, the data base, and the automatic operation. The innovative system and operation method design of the planning module; the system and method disclosed by the invention enable the automatic operation planning manager to quickly and instantly understand the actual and objective physiological state, environmental state and manufacturing related information through the system. In this way, it is possible to carry out more perfect management tasks such as job assignment, job scheduling, human-computer interaction, and prevention of personnel fatigue and mistakes, which are practical and progressive and have better industrial utilization benefits.

The above embodiments are intended to be illustrative of the present invention, and are not to be construed as limiting the scope of the invention. The principles are changed and modified to achieve an equivalent purpose, and such changes and modifications are to be included in the scope defined by the scope of the patent application as described later.

10. . . Automatic job planning system

11. . . Biological and environmental signal capture processing module

111. . . Physiological signal sensor

112. . . Environmental signal sensor

113. . . Signal processor

12. . . Performance evaluation indicator calculation module

13. . . database

14. . . Automatic job planning module

Figure 1 is a block diagram showing the text of the system of the present invention.

Figure 2 is a block diagram showing the text of the method of the present invention.

10. . . Automatic job planning system

11. . . Biological and environmental signal capture processing module

111. . . Physiological signal sensor

112. . . Environmental signal sensor

113. . . Signal processor

12. . . Performance evaluation indicator calculation module

13. . . database

14. . . Automatic job planning module

Claims (11)

An automatic operation planning system for evaluating physiological, motion and environmental signals of a living body, comprising: a biological and environmental signal acquisition processing module comprising a physiological signal sensor, an environmental signal sensor and a signal processor a performance evaluation indicator calculation module coupled to the biological and environmental signal acquisition processing module to convert the sensed and processed signals into performance evaluation indicators; a database for providing manufacturing related information An automatic operation planning module is linked to the performance evaluation index calculation module and the database to utilize the performance evaluation index and the database data for the relevant application of the automatic operation planning. An automatic operation planning system for evaluating physiological, operational, and environmental signals according to the biological scope of claim 1, wherein the physiological signal sensor of the biological and environmental signal extraction module includes a physiological signal sensor And the motion signal sensor; the ambient signal sensor includes one of a light sensor, a sound sensor, a temperature sensor, and a humidity sensor, or any combination thereof. An automatic operation planning system for evaluating physiological, operational, and environmental signals according to the biological scope of claim 1, wherein the physiological signal sensor measures the following physiological signals: EEG, EMG, ECG/EKG , EOG, breathing, temperature, heartbeat, GSR, BVP. An automatic operation planning system for evaluating the physiological, operational and environmental signals according to the biological scope of the application, wherein the signal processor of the biological and environmental signal acquisition module is at least a sampling device and a filtering device. One of them. An automated operation planning system for assessing physiological, operational, and environmental signals according to the biological scope of claim 1, wherein the database provides manufacturing related information, including production information, operator information, and machine information. News. The automatic operation planning system for evaluating the physiological, action and environmental signals according to the biological scope of the patent application, wherein the performance evaluation indicators converted by the performance evaluation index calculation module are classified into at least the following four categories: First: human body mechanics and posture risk related indicators; second: human physiological and psychological work load phase and fatigue related indicators; third: environmental comfort and hazard factor evaluation indicators; Fourth: personnel performance evaluation indicators. An automatic operation planning system for evaluating physiological, operational, and environmental signals according to the biological scope of claim 1, wherein the automatic operation planning module performs an operation adjustment related application, which is at least one of the following applications : Job scheduling, work assignment, error prevention, and human-computer interaction adjustment. An automated operation planning method for assessing physiological, motion, and environmental signals of a living being, including: (a) extracting data of the living body and the environment through sensing means, and transmitting the data to the computer using a wireless or wired network Processing, different signals are matched with corresponding algorithms and signal processing methods; (b) transforming the sensed and processed signals into performance evaluation indicators; (c) providing a database to provide manufacturing related information Used as a reference for automatic operation planning; (d) provided to an automatic operation planning system application by the performance evaluation indicators and manufacturing related information. An automated operation planning method for evaluating physiological, operational, and environmental signals according to the biological scope of the application, wherein the database provides manufacturing information, including production information, operator information, and machine information. News. The automatic operation planning method for evaluating the physiological, action and environmental signals according to the biological scope according to claim 8 of the patent application scope, wherein the performance evaluation indicators converted by the performance evaluation index calculation module are classified into at least the following three categories: First: human mechanics and posture related indicators; second: human workload related indicators; third: environmental factor assessment indicators. The automatic operation planning method for evaluating the physiological, motion and environmental signals according to the biological scope according to Item 8 of the patent application scope, wherein the application of the automatic operation planning system is at least one of the following applications: work scheduling planning , work distribution, error prevention and human-computer interaction adjustment.