阅读说明：本技术 大数据存储式即时报警系统及方法 (Big data storage type instant alarm system and method ) 是由 不公告发明人 于 2021-09-26 设计创作，主要内容包括：本发明涉及一种大数据存储式即时报警系统,包括：图像捕获机构,设置在电动车上,与时间判断机构连接,用于在接收到监控启动信号时,启动对电动车所在场景的全景的红外感应动作,以获得对应的红外感应图像；颜色校正器件,与所述图像捕获机构连接,用于对接收到的红外感应图像执行颜色校正操作,以获得对应的颜色校正图像。本发明还涉及一种大数据存储式即时报警方法。本发明的大数据存储式即时报警系统及方法逻辑可靠、减少污染。由于在大数据存储的基础上,对电动车的夜间声音报警的触发参数除了振动幅度还加入了周围人员存在的状态,从而在电动车周围不存在人体时禁止对振动幅值执行报警响应,减少夜间噪声发生的概率。(The invention relates to a big data storage type instant alarm system, which comprises: the image capturing mechanism is arranged on the electric vehicle, is connected with the time judging mechanism and is used for starting the panoramic infrared induction action of the scene where the electric vehicle is positioned when receiving the monitoring starting signal so as to obtain a corresponding infrared induction image; and the color correction device is connected with the image capturing mechanism and is used for performing color correction operation on the received infrared induction image to obtain a corresponding color correction image. The invention also relates to a big data storage type instant alarm method. The big data storage type instant alarm system and the method thereof have reliable logic and reduce pollution. On the basis of big data storage, the triggering parameters of the night sound alarm of the electric vehicle are added to the existing state of surrounding personnel besides the vibration amplitude, so that the alarm response to the vibration amplitude is forbidden when no human body exists around the electric vehicle, and the probability of night noise occurrence is reduced.)

1. A big data storage instant alarm system, the system comprising:

the image capturing mechanism is arranged on the electric vehicle, is connected with the time judging mechanism and is used for starting the panoramic infrared induction action of the scene where the electric vehicle is positioned when receiving the monitoring starting signal so as to obtain a corresponding infrared induction image;

the color correction device is connected with the image capturing mechanism and used for performing color correction operation on the received infrared induction image to obtain a corresponding color correction image;

a combined filtering device connected with the color correction device and used for executing combined filtering operation on the received color correction image to obtain a corresponding combined filtering image;

morphological processing means, connected to said combined filtering means, for performing morphological processing operations on the received combined filtered image to obtain a corresponding currently processed image;

the personnel detection mechanism is respectively connected with the signal optimization device and the big data storage mechanism and is used for sending a personnel identification instruction when finding out an image fragment which is over-limit consistent with the standard outline content of a certain human body stored by the big data storage mechanism in the current processing image;

the amplitude analysis device is arranged on the electric vehicle and used for detecting the current shaking maximum amplitude of the electric vehicle in real time;

the embedded processor is respectively connected with the amplitude analysis device and the personnel detection mechanism and is used for triggering the sound alarm action of the electric vehicle when the current maximum amplitude of the jitter of the electric vehicle is greater than or equal to a set assignment threshold and the personnel identification instruction is received;

the big data storage mechanism is arranged at the far end of the electric vehicle and is used for pre-storing a plurality of human body standard outlines corresponding to each race, and the human body standard outlines are imaging pictures which are shot from a plurality of different visual angles on a standard body type human body of the same race and only comprise a single human body;

the positioning detection mechanism is arranged on the electric vehicle and used for detecting the positioning data of the electric vehicle at present and judging the night-entering time point and the night-exiting time point of the area of the electric vehicle at present based on the positioning data and the present date;

the time judging mechanism is connected with the positioning detection mechanism and is used for sending out a monitoring starting signal when entering the night time point every day;

the big data storage mechanism comprises a plurality of big data storage nodes, and each big data storage node is used for storing a plurality of human body standard outlines corresponding to one race.

2. The big data storage instant warning system of claim 1, wherein the system comprises:

the temperature measurement array comprises a plurality of temperature measurement elements which are respectively connected with the color correction device, the combined filter device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device;

wherein the plurality of temperature measuring elements are used for respectively measuring the respective current internal temperatures of the color correction device, the combination filter device, the morphology processing device, the person detection mechanism and the amplitude analysis device.

3. The big data storage instant warning system of claim 2, wherein the system comprises:

and the instant alarm mechanism is respectively connected with the plurality of temperature measuring elements and is used for executing temperature warning operation corresponding to the equipment with the temperature exceeding limit when the equipment with the temperature exceeding limit exists in the respective current internal temperatures of the color correction device, the combined filtering device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device.

4. The big-data-storage instant warning system of claim 1, wherein:

the color correction device is implemented using a programmable logic device designed using VHDL.

5. The big-data-storage instant warning system of claim 1, wherein:

the combined filter device is an MCU control chip, and a timer and a ROM memory are arranged in the DSP processing chip.

6. A big data storage type instant alarm method is characterized by comprising the following steps:

the system comprises an image capturing mechanism, a time judging mechanism and a control mechanism, wherein the image capturing mechanism is arranged on the electric vehicle, is connected with the time judging mechanism and is used for starting the panoramic infrared induction action of the scene where the electric vehicle is positioned when receiving a monitoring starting signal so as to obtain a corresponding infrared induction image;

using a color correction device connected with the image capturing mechanism and used for performing color correction operation on the received infrared induction image to obtain a corresponding color correction image;

using a combined filtering device, connected to the color correction device, for performing a combined filtering operation on the received color corrected image to obtain a corresponding combined filtered image;

using a morphological processing device, connected to said combined filtering device, for performing morphological processing operations on the received combined filtered image to obtain a corresponding currently processed image;

the user detection mechanism is respectively connected with the signal optimization device and the big data storage mechanism and is used for sending a person identification instruction when finding out an image fragment which is over-limit consistent with the standard outline content of a certain human body stored by the big data storage mechanism in the current processing image;

the method comprises the steps that an amplitude analysis device is used, arranged on the electric vehicle and used for detecting the current shaking maximum amplitude of the electric vehicle in real time;

the embedded processor is respectively connected with the amplitude analysis device and the personnel detection mechanism and used for triggering the sound alarm action of the electric vehicle when the current maximum jitter amplitude of the electric vehicle is greater than or equal to a set assignment threshold and the personnel identification instruction is received;

the method comprises the steps that a big data storage mechanism is used, the big data storage mechanism is arranged at the far end of the electric vehicle and is used for storing a plurality of human body standard outlines corresponding to each race in advance, and the human body standard outlines are imaging pictures which are shot from a plurality of different visual angles on a standard body type human body of the same race and only comprise a single human body;

the positioning detection mechanism is arranged on the electric vehicle and used for detecting the positioning data of the electric vehicle at present and judging the night-entering time point and the night-exiting time point of the area where the electric vehicle is currently located based on the positioning data and the current date;

the service time judging mechanism is connected with the positioning detection mechanism and is used for sending out a monitoring starting signal when entering the night time point every day;

the big data storage mechanism comprises a plurality of big data storage nodes, and each big data storage node is used for storing a plurality of human body standard outlines corresponding to one race.

7. The big-data-storage instant alert method as in claim 6, wherein the method comprises:

the temperature measurement array is used and comprises a plurality of temperature measurement elements which are respectively connected with the color correction device, the combined filtering device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device;

wherein the plurality of temperature measuring elements are used for respectively measuring the respective current internal temperatures of the color correction device, the combination filter device, the morphology processing device, the person detection mechanism and the amplitude analysis device.

8. The big-data-storage instant alert method as in claim 7, wherein the method comprises:

and the instant alarm mechanism is used and respectively connected with the plurality of temperature measuring elements and used for executing temperature warning operation corresponding to the equipment with the temperature exceeding limit when the equipment with the temperature exceeding limit exists in the respective current internal temperatures of the color correction device, the combined filtering device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device.

9. The big-data-storage instant warning method of claim 6, wherein:

the color correction device is implemented using a programmable logic device designed using VHDL.

10. The big-data-storage instant warning method of claim 6, wherein:

the combined filter device is an MCU control chip, and a timer and a ROM memory are arranged in the DSP processing chip.

Technical Field

The invention relates to the field of big data storage, in particular to a big data storage type instant alarm system and a big data storage type instant alarm method.

Background

The strategic significance of big data technology is not to grasp huge data information, but to specialize the data containing significance. In other words, if big data is compared to an industry, the key to realizing profitability in the industry is to improve the "processing ability" of the data and realize the "value-added" of the data through the "processing".

Technically, the relation between big data and cloud computing is as inseparable as the front and back of a coin. The large data cannot be processed by a single computer necessarily, and a distributed architecture must be adopted. The method is characterized in that distributed data mining is carried out on mass data. But it must rely on distributed processing of cloud computing, distributed databases and cloud storage, virtualization technologies.

At present, the problem of environmental sound pollution of an electric vehicle exists at night, particularly when the electric vehicle is stored near a house, if sound alarm is triggered at night due to various reasons, the sound alarm is always continuous, and the owner of the electric vehicle is generally in a sleep state at night, so that the owner can hardly perceive that the sound alarm function is actively turned off.

Disclosure of Invention

In order to solve the technical problems in the related field, the invention provides a big data storage type instant alarm system and a big data storage type instant alarm method, which can specially aim at the phenomenon that a master cannot be actively closed when the electric vehicle gives a sound alarm at night, and on the basis of big data storage, the triggering parameters of the sound alarm at night of the electric vehicle are added to the existing states of surrounding personnel besides the vibration amplitude, so that the possibility of polluting the night environment of a house is reduced.

Therefore, the present invention needs to have at least the following three important points:

(1) an image processing component comprising a color correction device, a combined filter device, a morphology processing device, a personnel detection mechanism and an amplitude analysis device is introduced to complete the targeted processing of the field image;

(2) the method comprises the steps that a big data storage mechanism is adopted for pre-storing a plurality of human body standard outlines corresponding to each race, wherein the human body standard outlines are imaging pictures which are shot from a plurality of different visual angles and only comprise a single human body for a standard body type human body of the same race;

(3) when the shaking amplitude of the electric vehicle is judged to be over-limit at night and no human body target exists around the electric vehicle, the electric vehicle is judged to be in an invalid touch state and the execution of night alarm action is forbidden, so that the invalid alarm times of the electric vehicle are reduced, and the night quiet atmosphere of the surrounding environment is effectively maintained.

According to an aspect of the present invention, there is provided a big data storage instant alarm system, the system comprising:

the image capturing mechanism is arranged on the electric vehicle, is connected with the time judging mechanism and is used for starting the panoramic infrared induction action of the scene where the electric vehicle is positioned when receiving the monitoring starting signal so as to obtain a corresponding infrared induction image;

the color correction device is connected with the image capturing mechanism and used for performing color correction operation on the received infrared induction image to obtain a corresponding color correction image;

a combined filtering device connected with the color correction device and used for executing combined filtering operation on the received color correction image to obtain a corresponding combined filtering image;

morphological processing means, connected to said combined filtering means, for performing morphological processing operations on the received combined filtered image to obtain a corresponding currently processed image;

the personnel detection mechanism is respectively connected with the signal optimization device and the big data storage mechanism and is used for sending a personnel identification instruction when finding out an image fragment which is over-limit consistent with the standard outline content of a certain human body stored by the big data storage mechanism in the current processing image;

the amplitude analysis device is arranged on the electric vehicle and used for detecting the current shaking maximum amplitude of the electric vehicle in real time;

the embedded processor is respectively connected with the amplitude analysis device and the personnel detection mechanism and is used for triggering the sound alarm action of the electric vehicle when the current maximum amplitude of the jitter of the electric vehicle is greater than or equal to a set assignment threshold and the personnel identification instruction is received;

the big data storage mechanism is arranged at the far end of the electric vehicle and is used for pre-storing a plurality of human body standard outlines corresponding to each race, and the human body standard outlines are imaging pictures which are shot from a plurality of different visual angles on a standard body type human body of the same race and only comprise a single human body;

the positioning detection mechanism is arranged on the electric vehicle and used for detecting the positioning data of the electric vehicle at present and judging the night-entering time point and the night-exiting time point of the area of the electric vehicle at present based on the positioning data and the present date;

the time judging mechanism is connected with the positioning detection mechanism and is used for sending out a monitoring starting signal when entering the night time point every day;

the big data storage mechanism comprises a plurality of big data storage nodes, and each big data storage node is used for storing a plurality of human body standard outlines corresponding to one race.

According to another aspect of the invention, a big data storage type instant alarm method is also provided, and the method comprises the following steps:

the system comprises an image capturing mechanism, a time judging mechanism and a control mechanism, wherein the image capturing mechanism is arranged on the electric vehicle, is connected with the time judging mechanism and is used for starting the panoramic infrared induction action of the scene where the electric vehicle is positioned when receiving a monitoring starting signal so as to obtain a corresponding infrared induction image;

using a color correction device connected with the image capturing mechanism and used for performing color correction operation on the received infrared induction image to obtain a corresponding color correction image;

using a combined filtering device, connected to the color correction device, for performing a combined filtering operation on the received color corrected image to obtain a corresponding combined filtered image;

using a morphological processing device, connected to said combined filtering device, for performing morphological processing operations on the received combined filtered image to obtain a corresponding currently processed image;

the user detection mechanism is respectively connected with the signal optimization device and the big data storage mechanism and is used for sending a person identification instruction when finding out an image fragment which is over-limit consistent with the standard outline content of a certain human body stored by the big data storage mechanism in the current processing image;

the method comprises the steps that an amplitude analysis device is used, arranged on the electric vehicle and used for detecting the current shaking maximum amplitude of the electric vehicle in real time;

the embedded processor is respectively connected with the amplitude analysis device and the personnel detection mechanism and used for triggering the sound alarm action of the electric vehicle when the current maximum jitter amplitude of the electric vehicle is greater than or equal to a set assignment threshold and the personnel identification instruction is received;

the method comprises the steps that a big data storage mechanism is used, the big data storage mechanism is arranged at the far end of the electric vehicle and is used for storing a plurality of human body standard outlines corresponding to each race in advance, and the human body standard outlines are imaging pictures which are shot from a plurality of different visual angles on a standard body type human body of the same race and only comprise a single human body;

the positioning detection mechanism is arranged on the electric vehicle and used for detecting the positioning data of the electric vehicle at present and judging the night-entering time point and the night-exiting time point of the area where the electric vehicle is currently located based on the positioning data and the current date;

the service time judging mechanism is connected with the positioning detection mechanism and is used for sending out a monitoring starting signal when entering the night time point every day;

the big data storage mechanism comprises a plurality of big data storage nodes, and each big data storage node is used for storing a plurality of human body standard outlines corresponding to one race.

The big data storage type instant alarm system and the method thereof have reliable logic and reduce pollution. On the basis of big data storage, the triggering parameters of the night sound alarm of the electric vehicle are added to the existing state of surrounding personnel besides the vibration amplitude, so that the alarm response to the vibration amplitude is forbidden when no human body exists around the electric vehicle, and the probability of alarm misoperation is reduced.

Drawings

Embodiments of the invention will now be described with reference to the accompanying drawings, in which:

fig. 1 is a schematic structural diagram illustrating a large data storage type instant alarm system according to an embodiment of the present invention.

Detailed Description

Embodiments of the big data storage instant warning system and method of the present invention will be described in detail below with reference to the accompanying drawings.

The noise is the sound produced when the sounding body does irregular vibration. Sound is generated by the vibration of an object and propagates in a certain medium (e.g., solid, liquid, gas) in the form of waves. Noise pollution is commonly referred to as being artificially created. From a physiological point of view, all sounds that disturb people's rest, study and work and that interfere with the sound you hear, i.e. unwanted sounds, are collectively referred to as noise. Noise pollution is created when noise adversely affects people and the surrounding environment. Since the industrial revolution, the creation and use of various mechanical devices has brought prosperous and advanced to human beings, but at the same time, more and more noises are generated. The noise can not only cause damage to hearing, but also induce a plurality of carcinogenic and fatal diseases, and interfere the life and work of people.

At present, the problem of environmental sound pollution of an electric vehicle exists at night, particularly when the electric vehicle is stored near a house, if sound alarm is triggered at night due to various reasons, the sound alarm is always continuous, and the owner of the electric vehicle is generally in a sleep state at night, so that the owner can hardly perceive that the sound alarm function is actively turned off.

In order to overcome the defects, the invention builds a big data storage type instant alarm system and a method thereof, and can effectively solve the corresponding technical problems.

Fig. 1 is a schematic structural diagram illustrating a big data storage type instant alarm system according to an embodiment of the present invention, the system including:

the image capturing mechanism is arranged on the electric vehicle, is connected with the time judging mechanism and is used for starting the panoramic infrared induction action of the scene where the electric vehicle is positioned when receiving the monitoring starting signal so as to obtain a corresponding infrared induction image;

the color correction device is connected with the image capturing mechanism and used for performing color correction operation on the received infrared induction image to obtain a corresponding color correction image;

a combined filtering device connected with the color correction device and used for executing combined filtering operation on the received color correction image to obtain a corresponding combined filtering image;

morphological processing means, connected to said combined filtering means, for performing morphological processing operations on the received combined filtered image to obtain a corresponding currently processed image;

the personnel detection mechanism is respectively connected with the signal optimization device and the big data storage mechanism and is used for sending a personnel identification instruction when finding out an image fragment which is over-limit consistent with the standard outline content of a certain human body stored by the big data storage mechanism in the current processing image;

the amplitude analysis device is arranged on the electric vehicle and used for detecting the current shaking maximum amplitude of the electric vehicle in real time;

the embedded processor is respectively connected with the amplitude analysis device and the personnel detection mechanism and is used for triggering the sound alarm action of the electric vehicle when the current maximum amplitude of the jitter of the electric vehicle is greater than or equal to a set assignment threshold and the personnel identification instruction is received;

the big data storage mechanism is arranged at the far end of the electric vehicle and is used for pre-storing a plurality of human body standard outlines corresponding to each race, and the human body standard outlines are imaging pictures which are shot from a plurality of different visual angles on a standard body type human body of the same race and only comprise a single human body;

the positioning detection mechanism is arranged on the electric vehicle and used for detecting the positioning data of the electric vehicle at present and judging the night-entering time point and the night-exiting time point of the area of the electric vehicle at present based on the positioning data and the present date;

the time judging mechanism is connected with the positioning detection mechanism and is used for sending out a monitoring starting signal when entering the night time point every day;

the big data storage mechanism comprises a plurality of big data storage nodes, and each big data storage node is used for storing a plurality of human body standard outlines corresponding to one race.

Next, the detailed structure of the big data storage type instant warning system of the present invention will be further described.

The big data storage type instant alarm system can further comprise:

the temperature measurement array comprises a plurality of temperature measurement elements which are respectively connected with the color correction device, the combined filter device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device;

wherein the plurality of temperature measuring elements are used for respectively measuring the respective current internal temperatures of the color correction device, the combination filter device, the morphology processing device, the person detection mechanism and the amplitude analysis device.

The big data storage type instant alarm system can further comprise:

and the instant alarm mechanism is respectively connected with the plurality of temperature measuring elements and is used for executing temperature warning operation corresponding to the equipment with the temperature exceeding limit when the equipment with the temperature exceeding limit exists in the respective current internal temperatures of the color correction device, the combined filtering device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device.

In the big data storage instant warning system:

the color correction device is implemented using a programmable logic device designed using VHDL.

In the big data storage instant warning system:

the combined filter device is an MCU control chip, and a timer and a ROM memory are arranged in the DSP processing chip.

The big data storage type instant alarm method according to the embodiment of the invention comprises the following steps:

the system comprises an image capturing mechanism, a time judging mechanism and a control mechanism, wherein the image capturing mechanism is arranged on the electric vehicle, is connected with the time judging mechanism and is used for starting the panoramic infrared induction action of the scene where the electric vehicle is positioned when receiving a monitoring starting signal so as to obtain a corresponding infrared induction image;

using a color correction device connected with the image capturing mechanism and used for performing color correction operation on the received infrared induction image to obtain a corresponding color correction image;

using a combined filtering device, connected to the color correction device, for performing a combined filtering operation on the received color corrected image to obtain a corresponding combined filtered image;

using a morphological processing device, connected to said combined filtering device, for performing morphological processing operations on the received combined filtered image to obtain a corresponding currently processed image;

the user detection mechanism is respectively connected with the signal optimization device and the big data storage mechanism and is used for sending a person identification instruction when finding out an image fragment which is over-limit consistent with the standard outline content of a certain human body stored by the big data storage mechanism in the current processing image;

the method comprises the steps that an amplitude analysis device is used, arranged on the electric vehicle and used for detecting the current shaking maximum amplitude of the electric vehicle in real time;

the embedded processor is respectively connected with the amplitude analysis device and the personnel detection mechanism and used for triggering the sound alarm action of the electric vehicle when the current maximum jitter amplitude of the electric vehicle is greater than or equal to a set assignment threshold and the personnel identification instruction is received;

the method comprises the steps that a big data storage mechanism is used, the big data storage mechanism is arranged at the far end of the electric vehicle and is used for storing a plurality of human body standard outlines corresponding to each race in advance, and the human body standard outlines are imaging pictures which are shot from a plurality of different visual angles on a standard body type human body of the same race and only comprise a single human body;

the positioning detection mechanism is arranged on the electric vehicle and used for detecting the positioning data of the electric vehicle at present and judging the night-entering time point and the night-exiting time point of the area where the electric vehicle is currently located based on the positioning data and the current date;

the service time judging mechanism is connected with the positioning detection mechanism and is used for sending out a monitoring starting signal when entering the night time point every day;

the big data storage mechanism comprises a plurality of big data storage nodes, and each big data storage node is used for storing a plurality of human body standard outlines corresponding to one race.

Next, the detailed steps of the big data storage type instant alarm method of the present invention will be further described.

The big data storage type instant alarm method can further comprise the following steps:

the temperature measurement array is used and comprises a plurality of temperature measurement elements which are respectively connected with the color correction device, the combined filtering device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device;

wherein the plurality of temperature measuring elements are used for respectively measuring the respective current internal temperatures of the color correction device, the combination filter device, the morphology processing device, the person detection mechanism and the amplitude analysis device.

The big data storage type instant alarm method can further comprise the following steps:

and the instant alarm mechanism is used and respectively connected with the plurality of temperature measuring elements and used for executing temperature warning operation corresponding to the equipment with the temperature exceeding limit when the equipment with the temperature exceeding limit exists in the respective current internal temperatures of the color correction device, the combined filtering device, the morphology processing device, the personnel detection mechanism and the amplitude analysis device.

In the big data storage type instant alarm method:

the color correction device is implemented using a programmable logic device designed using VHDL.

In the big data storage type instant alarm method:

the combined filter device is an MCU control chip, and a timer and a ROM memory are arranged in the DSP processing chip.

In addition, in the big data storage type instant alarm system and method, the personnel detection mechanism is further used for sending a personnel unidentified instruction when no image fragment which is consistent with the standard contour content of a certain human body and is stored in the big data storage mechanism and exceeds the limit is found in the current processing image;

the embedded processor is further used for not executing triggering of a sound alarm action of the electric vehicle when the current shaking maximum amplitude of the electric vehicle is larger than or equal to a set assignment threshold and the personnel unidentified instruction is received;

and the embedded processor is also used for not executing the triggering of the sound alarm action of the electric vehicle when the current jitter maximum amplitude of the electric vehicle is smaller than the set assignment threshold value.

It is noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus/electronic device/computer-readable storage medium/computer program product embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and for relevant points, reference may be made to some descriptions of the method embodiments.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.