Asclepius is a real-time system that monitors the vibrational characteristics of a structure and allows the detection of potential damage at the earliest stage. Asclepius brings considerable benefits and increases the safety of the inhabitants.
WE LIVE IN A WORLD THAT IS CONSTANTLY CHANGING
We are becoming more and more aware of the importance of understanding if a structure is healthy or not, because aging, deterioration, seismic events or potential defects in the construction process can lead to serious consequences to our safety.
Structural Health Monitoring is becoming a point of interest for many institutions and professionals.
Asclepius was thought up with the aim of observing changes in the monitored structure and to give us not only the engineering parameters, but also a green or red light, an intuitive picture of the health of the structure.
Far too often we have excess information that we can’t decode or which we don’t have time to manage; in most cases we just want to get a simple answer: yes or no.
Asclepius can make the analysis intelligible even to people who do not work in the sector.
The highest performance is achieved by working in real-time in combination with either Atlas or Triton systems, but the software can also be used to analyze offline data.
Asclepius is the result of more than 30 years of engineering experience in the sector.
Asclepius relies on data from a sensor network for the operation of its algorithms.
The starting point is a building where Atlas (or Triton) are installed along with LTFB-160 or LTME-90 accelerometers as suggested by our structural engineers.
The system is connected via WiFi or LAN network, it is strongly recommended that the communication network has a battery back up in order to handle power outages.
Asclepius runs on a windows PC, the PC can be installed in the local network or even remotely without distance restrictions.
Asclepius works with two algorithms:
Change in the natural frequency of the structure
This method requires long term environmental noise analysis in the setup/installation phase. This survey is necessary to identify the natural frequency of the structure. Subsequent data analysis, during the monitoring phase aims to discern potential changes in the natural frequency of the structure.
Inter-floor drift
This technique requires in-depth knowledge of structure design and structural engineering.
The structural engineer must fine-tune the system by entering the maximum safe inter-floor displacements for the structure.
Asclepius monitors the displacements and sends a pseudo-real-time alarm when potential damage to the structure is a risk.
If Asclepius is used to assess the health of a structure after an earthquake, the acceleration thresholds on the dataloggers (Atlas or Triton) are set during the tuning phase. When a seismic event exceeds the specified threshold, the dataloggers automatically transfer their data to the Asclepius data folder.
As soon as the folder contains all the data related to an event the Asclepius starts analyzing the data.
In this case, dataloggers are configured to automatically transfer environmental noise data to the Asclepius folder.
Asclepius continuously analyzes the data and sends an alarm if anomalous changes are detected while monitoring the structure.
ASCLEPIUS BASIC
The easiest version to use, our structural engineers fine-tune the software using the parameters of your structure, you only have to supply the structure plans. The software is then ready for use.
ASCLEPIUS PRO
This version is for professionals. The parameters of the structure must be entered in the software by the user.
ASCLEPIUS SERVER
This version can manage multiple licenses on the same PC thus it can monitor multiple structures.
ASCLEPIUS BRIDGES
This version is specifically optimized for bridge monitoring.
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-advertisement | 1 year | Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category . |
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
CookieLawInfoConsent | 1 year | Records the default button state of the corresponding category & the status of CCPA. It works only in coordination with the primary cookie. |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
Cookie | Duration | Description |
---|---|---|
CONSENT | 2 years | YouTube sets this cookie via embedded youtube-videos and registers anonymous statistical data. |
_ga | 2 years | The _ga cookie, installed by Google Analytics, calculates visitor, session and campaign data and also keeps track of site usage for the site's analytics report. The cookie stores information anonymously and assigns a randomly generated number to recognize unique visitors. |
_gat_gtag_UA_168680146_1 | 1 minute | Set by Google to distinguish users. |
_gcl_au | 3 months | Provided by Google Tag Manager to experiment advertisement efficiency of websites using their services. |
_gid | 1 day | Installed by Google Analytics, _gid cookie stores information on how visitors use a website, while also creating an analytics report of the website's performance. Some of the data that are collected include the number of visitors, their source, and the pages they visit anonymously. |
Cookie | Duration | Description |
---|---|---|
NID | 6 months | NID cookie, set by Google, is used for advertising purposes; to limit the number of times the user sees an ad, to mute unwanted ads, and to measure the effectiveness of ads. |
test_cookie | 15 minutes | The test_cookie is set by doubleclick.net and is used to determine if the user's browser supports cookies. |
VISITOR_INFO1_LIVE | 5 months 27 days | A cookie set by YouTube to measure bandwidth that determines whether the user gets the new or old player interface. |
YSC | session | YSC cookie is set by Youtube and is used to track the views of embedded videos on Youtube pages. |
yt-remote-connected-devices | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
yt-remote-device-id | never | YouTube sets this cookie to store the video preferences of the user using embedded YouTube video. |
Cookie | Duration | Description |
---|---|---|
ack_1883718 | 1 day | No description |
cf7emc_user_token | 1 day | No description available. |
nv_1883718 | 77 years 10 months 21 days 15 hours | No description |
prev2_1883718 | past | No description |
pum-1781 | 1 day | No description |
sid_1883718 | 30 minutes | No description |
tll_1883718 | 77 years 10 months 21 days 15 hours | No description |
vid_1883718 | 77 years 10 months 21 days 15 hours | No description |
__wpdm_client | session | No description |