Method for adjusting a sensor system and sensor system

Abstract

A method for adjusting a vibration detection system applied to an object, comprising: a) setting a first detection threshold beyond which a signal is emitted, b) dividing the measurement range of the detection system into n intervals, each interval corresponding to a range of vibration intensity, c) associating an event counter with each interval, d) assigning a value to each event, e) counting the vibration events in the counters according to their intensity during a given period of time so as to obtain a history of the events detected by the system during the given time, f) processing the values ​​of the counters to determine a second detection threshold adapted to the vibrational environment of the system, g) determining a second detection threshold, h) adjusting said detection system with the second detection threshold.

Description

TECHNICAL FIELD AND PREVIOUS ART

[0001] The present invention relates to a method for adjusting a detection system and to a detection system configured to be adjusted by said method.

[0002] In the field of building equipment, for example in residential buildings, sensors are increasingly used to provide information about the building throughout the day. For instance, some sensors are installed on building openings, such as doors or windows, to detect attempted break-ins; these are vibration sensors, for example. These sensors can be physical sensors, remotely connected to a home automation system which can then transmit certain information directly to users via a server, notably through a device such as a smartphone, to alert them to an attempted break-in. An alert can be issued as soon as a detection threshold is exceeded.

[0003] Vibration sensors may include an accelerometer. Beyond a certain measured acceleration threshold, it is considered an attempted intrusion or at least that an unwanted action has been exerted on the opening, and this should trigger an alert.

[0004] Setting the vibration detection threshold is complex. On the one hand, it's crucial to avoid choosing a threshold that's too low, as this would lead to numerous false alarms, causing frustration and confusion for the user and ultimately leading to a loss of confidence in the detection system. This could result in the user missing a genuine intrusion attempt. On the other hand, it's equally important to avoid choosing a detection threshold that's too high, as such a threshold could prevent the detection of an event that would otherwise trigger an alert and require user intervention.

[0005] Furthermore, the detection threshold setting also depends on the sensor's vibration environment; therefore, a threshold permanently set at the factory prior to installation on the building may not be satisfactory. The sensor's vibration environment refers to the sensor's installation conditions that affect the airborne or structure-borne vibration values ​​it can detect—that is, the conditions that impact the sensor's detection parameters: noise environment, sensor support material, fixed or mobile support, etc.

[0006] If the sensor frequently indicates intrusion attempts that turn out to be false positives, this means the detection threshold is too low and should be manually increased. Conversely, if no detection occurs even though the sensor is occasionally subjected to significant vibration, this means the detection threshold is too high and should be lowered manually. Adjusting the detection threshold is usually done by trial and error.

[0007] The adjustment of the sensors can then be subject to numerous manipulations by the user or an installer before reaching the optimal setting, which is time-consuming and leaves the sensor in a suboptimal state of operation for long periods of time.

[0008] US patent 9,542,822 describes a residential alarm system consisting of a tag attached to a window, the tag comprising a controller and a transmitter. The controller is configured to trigger an alert using acceleration values. DESCRIPTION OF THE INVENTION

[0009] It is therefore one of the aims of this application to provide a method for adjusting the detection threshold of a detection system that does not have the disadvantages mentioned above.

[0010] It is also a goal of this application to offer a detection system with simplified adjustment.

[0011] The goals stated above are achieved by an adjustment method according to claim 1.

[0012] The analysis of the meters gives the user or installer an indication of how the threshold can be modified to be more reliable.

[0013] Thus, by knowing the detection history of the detection system, the user or installer has information about the sensor's environment and can therefore adapt the detection threshold to its specific environment.

[0014] Querying this history and adjusting the settings can advantageously be done remotely via a home automation device.

[0015] The detection system includes, for example, a vibration sensor mounted in a non-limiting manner on an opening such as a window or a door.

[0016] In other words, the detection threshold of the detection system is adjusted within its environment by collecting events and classifying them, at least according to their intensity, to obtain a detection history over a given period. This detection history is built independently of the previously defined detection threshold. This history makes it possible to highlight exceptional, one-off events and thus adjust the sensor to suit its environment.

[0017] In one embodiment, for each event whose intensity is greater than or equal to the first detection threshold, an action by a user is required to issue a comment on said event.

[0018] n is a positive integer of finite value and preferably at least equal to 2.

[0019] The present invention relates to a method for adjusting a building monitoring system comprising at least one piece of building equipment, by detecting events applied to the equipment, in which the physical parameter is an acceleration.

[0020] Advantageously, said comment is used to perform a weighting of the accounting of the event in the appropriate counter.

[0021] For example, an increased value is assigned to an event that is commented on by the user as being untimely.

[0022] In one example, step g) involves analyzing the values ​​of the counters to determine the second detection threshold and step h) involves automatically adjusting the system with the second detection threshold.

[0023] In another example, step g) involves analyzing the counter values ​​to determine the second detection threshold and suggesting said second threshold to a user who is setting up the system.

[0024] The analysis may include: either the determination of the highest value counter and the choice of a second detection threshold equal to the level just above the level of said counter, or the determination of the strongest decrease between first and second successive counters arranged in ascending order of level and the choice of a second detection threshold equal to the level of the second counter, or the determination of the intensity curve as a function of the levels and the determination of the linear trend curve of the values ​​of the counters, determination of the point of intersection between the two curves and the choice of the second threshold equal to the abscissa of the point of intersection.

[0025] In an advantageous example, steps a) to h) are repeated after a certain period to check the setting and / or when the environment is changed, with the second threshold becoming the first threshold.

[0026] The adjustment process can be applied to a vibration event detection system.

[0027] Another object of the present application is a building monitoring system as described in claim 9. The detection system may include a human-machine interface configured to display the history of vibration events.

[0028] Advantageously, the software is configured to present the history of vibrational events in a way that facilitates their processing, for example in the form of a histogram.

[0029] In one example implementation, the means of communication includes a server sending the signal to a user terminal, for example to a smartphone.

[0030] In another example of implementation, the object is an opening of a building, such as a piece of joinery, in particular a door or a window, or such as a vertical shutter or blind or horizontal blind.

[0031] In one example, the system may include a home automation box that implements the software means and is configured to communicate with a user terminal.

[0032] In another example, the detection sensor integrates the software means and the means of communication with a user adjustment tool includes wired or radio means. BRIEF DESCRIPTION OF THE FIGURES

[0033] The following description will be better understood with the help of the attached drawings, which: There figure 1is a schematic representation of a detection system according to the invention in its environment, The figure 2 is a representation of an example of counter display implemented in the detection system adjustment process, The figures 3A to 3C are examples of counter representations according to the invention, The figure 4 is a graphical representation of an example of a method for determining the second detection threshold. DETAILED DESCRIPTION OF PRODUCTION METHODS

[0034] In the description that follows, the invention will be described more particularly in an application to joinery equipping a building, but the invention also applies to a shutter mounted in rotation on a wall of the building, to a roller shutter, to a vertical or horizontal blind such as that mounted on arms and more generally to any equipment of a building whose condition one wants to monitor by means of a detection threshold.

[0035] Furthermore, the invention is described in the context of detecting an attempted intrusion and issuing an alert, particularly through vibration measurement. An attempted intrusion might, for example, involve banging on a door or window, which generate vibrations. However, the invention also applies to detecting other events, such as the occurrence of strong winds, for example, in a patio awning application, requiring the awning to close. In this case, the measurement is a wind speed measurement. This measurement can be obtained using anemometers, for example, those with cups rotating on an axis and driven by the wind, or using Pitot tubes, or other technologies such as ultrasonic transducers or heated wires.

[0036] In the description that follows, the term "user" can refer either to the person who benefits from the detection system, for example the user of the premises, more particularly the occupant of the building, or to a system installer, who is a person who participates in the installation of the system in the building or a person who maintains the system.

[0037] On the figure 1 A schematic representation of a detection system S according to the invention can be seen.

[0038] The system includes a sensor C intended to be fixed or integrated into a joinery, in this example it is a window F opening onto the outside of building B.

[0039] The window or door assembly comprises a fixed frame 2 mounted in a wall of the building and a movable sash 4 relative to the fixed frame 2. In this example, the sash 4 is hinged to rotate relative to the fixed frame 2 by means of hinges. Alternatively, the sash slides relative to the fixed frame 2.

[0040] Sensor C is a displacement sensor, specifically a vibration sensor, and is preferably fixed to the opening 4, which will be most sensitive to environmental vibrations, particularly on a glazed portion of an opening in the case of a door or window. A system in which the sensor is mounted on the frame does not fall outside the scope of the present invention.

[0041] Sensor C is preferably a sensor that measures vibration as a physical parameter. It includes an accelerometer. An example of such a sensor is described in document FR3022670.

[0042] An accelerometer operates on the physical principle of a seismic mass suspended from a support, the mass being set in motion by an external acceleration. The displacement of the mass is measured, allowing the acceleration value to be calculated. Accelerometers in the form of electronic components are widely available on the market. The accelerometer provides signals, called displacement signals, which represent the acceleration of the sensor and therefore represent the vibrations of the support to which it is attached.

[0043] Sensor C also includes an electronic circuit comprising a signal and data processing unit connected to the accelerometer. The electronic circuit further includes a memory suitable for storing digital data and an antenna suitable for transmitting and / or receiving radio frequency wireless signals, connected to the processing unit. The electronic circuit further includes a power source, for example a battery, appropriately connected to the components of the electronic circuit to supply them with electrical power.

[0044] In the event of an attempted break-in, one or more shocks are applied to the window or door frame, generally, but not exclusively, to the opening sash. These shocks generate vibrations that are detected by the vibration sensor C.

[0045] In one example, the detection system includes a home automation unit, also called a "home automation box," which can then communicate certain information directly to the user, whether near or far from the building, via a terminal such as a smartphone, through a server. This information can be accessed via the home automation box's user interface.

[0046] The 6 home automation box allows you to collect different information about the building and to control different systems such as the heating system, air conditioning, or even the opening and closing of windows and doors.

[0047] Sensor C has an initial detection threshold designated S1. This initial detection threshold S1 is set, for example, at the factory or during the installation of the window or door frame. When an impact on the opening triggers an acceleration detection value greater than or equal to S1, this is considered an attempted intrusion, and an alert message is issued. Generally, the user receiving the alert is required to investigate it, for example, by verifying whether an attempted intrusion has occurred, or even if an intrusion has actually taken place. The initial detection threshold is stored in memory.

[0048] The invention proposes a method for adjusting the detection threshold of the detection system integrating sensor C.

[0049] In one embodiment, sensor C includes means for storing in memory the various events it has detected, and for sorting and classifying these events according to the detected acceleration value. In the case of a vibration sensor, these events can be described as vibration events.

[0050] On the figure 2 We can see a histogram representation of the ranking of events. The horizontal axis represents the value of each counter, and the vertical axis represents the level of each counter.

[0051] In this example concerning a vibration sensor with an accelerometer, the classification is based on eight acceleration levels designated N1...N8. It should be understood that this number of levels is not limited. The number of levels is a finite integer.

[0052] For any acceleration below the value level N1, no event is recorded.

[0053] For an event whose acceleration a is between N1 ≤ a <N2, l'événement est classé dans le compteur du niveau N1.

[0054] For an event whose acceleration a is between N2 ≤ a <N3, l'événement est classé dans le compteur du niveau N3 et ainsi de suite.

[0055] For an event whose acceleration is greater than N8, the event is classified in the N8 level counter.

[0056] This provides a history of the intensity of events occurring over a given period, independent of the designated detection threshold. The duration of this period is chosen to be representative of the vibration environment of the joinery workshop. This period can range from several days to several weeks, or even several months.

[0057] As events are detected, the various counters are incremented by the value assigned to each event, regardless of whether or not they generate an alert.

[0058] In this example, each event takes a value equal to 1. Thus, the value of each counter corresponds to the number of events that occurred in level N.

[0059] The sensor's processing unit is designed to transmit this history to the home automation hub, which can then transfer this information to a server accessible to the user, such as the installer or maintenance technician. This allows them to perform diagnostics and maintenance, for example, by adjusting the sensor's detection threshold. Alternatively, the data is stored within the home automation hub, which can provide this data upon request from the user.

[0060] Alternatively, the sensor's processing unit can be adapted to communicate directly with a control device, such as a mobile terminal or laptop, which communicates with the sensor either via a wired connection or wirelessly, for example using Wi-Fi, Bluetooth, or a proprietary protocol. The user then goes to the location within the building to read and / or retrieve the history recorded in the sensor or the home automation hub. Alternatively, the control device can communicate with the server to retrieve and transmit data.

[0061] Alternatively, the sensor processing unit communicates the history to a remote control which is used for the motorized opening of the opening, or of a blind in the application to a blind.

[0062] Alternatively, the sensor's processing unit transmits each event and its intensity, as it occurs, to the home automation hub, which categorizes them into various counters. The history is then transmitted to the user's terminal—for example, the installer or maintenance person—via the home automation hub, or the user can access the history through a user interface such as a touchscreen on a control tool that can be paired with or connected to the home automation hub.

[0063] On the figures 3A, 3B and 3C Examples of historical data for three sensors C1, C2, and C3 installed in the same room can be seen in a different presentation format. Each sensor was initially set to a threshold of 3. figure 2 represents the same counter as the histogram of the figure 3A .

[0064] It should be noted that each event, whose intensity is at or above the detection threshold, triggers an alert to the user via a terminal, such as a smartphone. Generally, the user must take action to dismiss this alert, for example by conducting an on-site check and then indicating whether the alert was justified.

[0065] In one embodiment, all events have the same value, or a weighting occurs, for example, based on the measured value. Different weights are assigned to events.

[0066] It is considered that over a given number of events, the likelihood that the number of events justifying the issuance of an alert will occur is reduced relative to the total number of events detected.

[0067] The adjustment of the detection threshold based on information provided by the history will now be described.

[0068] In addition to the adjustment carried out automatically according to the method of claim 1, the adjustment can be carried out manually or semi-automatically.

[0069] Manual adjustment can be carried out according to a first method in which the second detection threshold is associated with the intensity level just above the intensity level corresponding to the counter with the most events.

[0070] The user analyzes the history and decides which detection threshold is best suited to the sensor's environment by identifying the level corresponding to the counter with the highest value and selecting as the detection threshold the level just above the identified level.

[0071] Specifically, it analyzes the various meters. Advantageously, the meters are presented visually to make them quickly usable. For example, the presentation of the figure 2This facilitates decision-making by allowing users to directly view the counter with the most events. The user selects a new detection threshold to avoid large numbers of alerts at low levels. This allows the user to identify the levels with the most "noise," meaning the greatest risk of interference compared to useful information—that is, the detection of events that warrant an alert. By setting the detection threshold just above the threshold(s) with the highest number of detections, the user limits the issuance of false alerts.

[0072] If two separate counters have the same maximum number of events at the time the detection threshold is set, the second detection threshold is associated with the intensity level just above the intensity level corresponding to the lowest level counter among the two separate counters with the most events.

[0073] In the case of the figure 2 The user can then choose level 4 as the second detection threshold, just above level 3, whose counter shows the most events.

[0074] In the case of sensor C2 ( figure 3B ), the second threshold can be set to 3, just above level 2, whose counter has the most events.

[0075] In the case of sensor C3 ( figure 3C ), the second threshold can be set to 2, just above level 1, whose counter shows the most events.

[0076] The adjustment can be semi-automatic. For example, a value is automatically determined and suggested, perhaps by a setting tool, for the second detection threshold. This suggested value for the second detection threshold must be validated by the user. This way, the user retains control over the setting of the second detection threshold, for example, by taking into account external information not included in the historical data.

[0077] According to the invention, the second threshold is automatically adjusted by a software-based adjustment tool. This tool analyzes the values ​​of the various counters and selects the second threshold value that will allow for at least largely justified alerts. An algorithm readjusts the detection threshold, for example, at given intervals, based on the counter values ​​associated with the different intensity levels. A second detection threshold is then defined according to the counter values. This second detection threshold replaces the first detection threshold, for example, once it has been confirmed by a user.

[0078] The selection of the second threshold can be done using different methods.

[0079] Semi-automatic or automatic adjustment can be performed by automatically applying the first method described above, i.e. by associating the second detection threshold with the intensity level just above the intensity level corresponding to the counter with the most events.

[0080] For sensor C2, the second detection threshold is maintained at 3, and for sensor C3, the second threshold is set at 2.

[0081] According to a second method, the second detection threshold is that which corresponds to the intensity level corresponding to the strongest decrease between two consecutive counter values.

[0082] In the examples given to figures 3A, 3B and 3CFor sensor C1, the second detection threshold is set at 5 (a decrease of 5 between the values ​​of the level 4 counter and the level 5 counter). For sensor C2, the second detection threshold is set at 4 (a decrease of 8 between the values ​​of the level 3 counter and the level 4 counter), and for sensor C3, the second threshold is also set at 4 (a decrease of 7 between the values ​​of the level 3 counter and the level 4 counter).

[0083] According to a third method, starting from the highest level, the level with the highest counter value is selected as long as the counter value is increasing. In the example of the history of figures 2 And 3AThis corresponds to level 6, since a decrease is observed between the values ​​of the level 6 counter and the level 5 counter. The second detection threshold can then be set at this higher counter level or the level just below it. The second detection threshold is then set at level 5 or level 6.

[0084] A fourth method uses a mathematical rule to define an appropriate threshold. For example, as shown in the figure 4 , we plot the curve of the values ​​of the counters as a function of the levels (curve I) and the linear trend of the counters (line II).

[0085] The second detection threshold can correspond approximately to the intersection of curves I and II; the second detection threshold would then be set at 4 or 5.

[0086] If the counter values ​​are too linear, i.e., vary little, another method can be used, for example, by calculating an arithmetic mean of the counter values. The detection threshold can then be set at the counter closest to the calculated arithmetic mean. In the example of the figure 3B The arithmetic mean of the counter values ​​is approximately 9.67. Level 4, with a counter value of 11, is then chosen as the level with the value closest to the calculated mean.

[0087] In another advantageous embodiment, the history is enriched with external information. This external information can be integrated into the history at the level of one or more counters and assigned a value equal to or different from the weighting of a detected event.

[0088] Generally, when raising an alert, the user is expected to comment on it, indicating whether it was justified or not—that is, whether the detected event was relevant in triggering an alert. This external information from the user helps refine the history. Thanks to this user-provided information, it's possible to weight an event in the history based on its relevance to the associated external information and improve the determination of the second detection threshold.

[0089] In this application, "relevant element" means an element for which it is justified to issue an alert signal, for example, an attempted break-in.

[0090] In one example, when a detected event that triggered an alert is designated as relevant by the user, the counter can be decremented by the level corresponding to the intensity of the event, for example, by half a point, one point, or even two points. This decreases the counter value relative to other counter values. The corresponding level is therefore more likely to be selected as the detection threshold using the methods described above.

[0091] Alternatively, or in addition, it may be possible to increase the counter at the lower level by the intensity of the event, for example, by the same number of points. This further amplifies the difference between the counters and facilitates a recalculation of the second detection threshold. For example, if the relevant event has an intensity that should count it in counter N, the plan is to increase counter N-1. For instance, counter N could be incremented by 1 and counter N-1 could be incremented by 2 or 3 to amplify the difference between the two counters, or only counter N-1 could be incremented.

[0092] Thus, noise is generated at the N-1 counter, prompting the selection of the intensity level of the N counter as the second detection threshold.

[0093] Next, the second detection threshold is determined by applying one of the methods described above. Specifically, a new determination of the detection threshold, using updated counter data, can be performed automatically following this decrement.

[0094] In another embodiment, when the user indicates via the human-machine interface that a detected event is irrelevant, an action is automatically generated, such as an increment of the counter, based on the event intensity level. This allows, by subsequently taking into account the algorithm applied to the counter values, the detection threshold to be readjusted above the power level affected by these irrelevant detections. Preferably, such an action is generated after the user has indicated several times that events were irrelevant in order to avoid an overly hasty readjustment of the threshold.

[0095] For example, following an alert due to a strong gust of wind, the counter of the level that led to the alert is assigned a value of -1; following an alert due to the presence of construction equipment in operation near the opening, the counter of the level that led to the alert is assigned a value of +2; and following an alert due to a proven attempted break-in, the counter of the level that led to the alert is assigned a value of -2.

[0096] When using negative values ​​or decrementing counters, it may be preferable not to manage a negative value counter. In this case, the minimum counter value is set to 0. However, a negative value counter can still be implemented, with the algorithms and methods described above remaining applicable. A representation that allows for the display of both positive and negative values ​​can also be considered.

[0097] In the example described above in relation to the figure 2 The history shows a significant number of detections at levels 2, 3 and 4.

[0098] Alternatively, the history may report either a lack of detection, or a lack of noise or disturbances, i.e., a lack of events in the sensor's environment.

[0099] It will also be understood that the second detection threshold can be equal to the first detection threshold, meaning that the initial setting was suitable for the sensor's vibration environment. The method used confirms that the setting is well-suited to the sensor's environment.

[0100] The detection threshold setting can be repeated at set intervals to verify the sensor's vibration environment, or if the sensor is moved, in which case the history can be reset. Analyzing the history and variations in counter values ​​over time can trigger a new detection threshold setting. For example, a change in a counter value exceeding a threshold may indicate a change in the sensor's environment that necessitates a new setting.

[0101] Consideration may be given to taking into account previous history when choosing a new detection threshold for a sensor that has been moved.

[0102] In a system where several sensors are close to each other and can be considered to be in the same vibrational environment, it is possible to apply the tuning method to a single sensor and then apply the result to the other sensors. Alternatively, the historical data from nearby sensors can be combined to find a common detection threshold for the different sensors.

[0103] It is also possible to include other information about detected events in the history log to aid in calibration, such as the date and time of the event for timestamping, its duration, and the discrete value of its intensity. This would allow for the retrieval of historical data over rolling periods. Specifically, it would then be possible to retain only the most recent data, which is better suited to representing the sensor's current vibrational environment. Alternatively, a lower weighting could be applied to older events.

[0104] The more information the history contains about events, the more advantageous it is to implement an automatic setting.

[0105] In the description above, the relevant detected event considered is the intrusion. It should be understood that other events can be considered relevant, the relevance being relative to the object whose vibrations are being measured. Indeed, strong vibrations due, for example, to strong gusts of wind can damage a vertical or horizontal blind, a shutter, or even a window or French door. In addition to the information transmitted to the user as an alert, it is advantageous for the user to be able to verify the information and validate the relevance of the alert. It may then be desirable to supplement the alert information with other conditions that could have led to a relevant event. For example, the history log can be supplemented with external data, such as the weather conditions at the time of the event.

Claims

1. A method for adjusting a building monitoring system including at least one piece of building equipment, by detecting events applied to the equipment, said events corresponding to non-zero measurements of acceleration measured by the monitoring system, said adjustment method being implemented by software means, said method including: a) setting a first acceleration detection threshold, beyond which a signal is emitted, b) dividing the measurement range of the detection system into n intervals, n being a positive integer, each interval corresponding to a range of acceleration intensity, c) associating an event counter with each interval, d) measuring the acceleration of each event by an accelerometer and assigning a value to each event, e) counting over a given period of time the values assigned to the events in the counters based on the intensity of the measured acceleration to obtain a history of events detected by the system during the given period of time, f) processing the counter values to determine a second detection threshold adapted to the system environment based on the counter values, g) determining a second detection threshold, h) adjusting said detection system with the second detection threshold.

2. The adjustment method according to claim 1, wherein, for each event whose intensity is greater than or equal to the first detection threshold, a user action is required to provide a comment on said event.

3. The adjustment method according to claim 2, wherein said comment is used to weight the counting of the event in the appropriate counter.

4. The adjustment method according to claim 3, wherein an increased value is assigned to an event that is commented on by the user as being untimely.

5. The adjustment method according to one of claims 1 to 4, wherein step g) includes analyzing the counter values to determine the second detection threshold and step h) includes automatically adjusting the system with the second detection threshold.

6. The adjustment method according to one of claims 1 to 4, wherein step g) includes analyzing the values of the counters to determine the second detection threshold and suggesting said second threshold to a user who adjusts the system.

7. The adjustment method according to claim 5 or 6, wherein the analysis includes: - either determining the counter with the highest value and choosing a second detection threshold equal to the level just above the level of said counter, - or determining the greatest decrease between the first and second successive counters arranged in ascending order of level and choosing a second detection threshold equal to the level of the second counter, - or determining the curve of intensities based on levels and determining the linear trend curve of the counter values, determining the intersection point between the two curves and choosing the second threshold equal to the abscissa of the intersection point.

8. The method according to one of claims 1 to 7, wherein steps a) to h) are repeated after a certain duration to verify the adjustment and / or when the environment is modified, the second threshold becoming the first threshold.

9. A building monitoring system including at least one piece of equipment, by measuring vibrations applied to the equipment including: - at least one vibration sensor configured to measure the vibrations experienced by the equipment, - software means implementing the adjustment method according to one of claims 1 to 8, said events being vibratory events, - means of communication to a user of a signal for each vibratory event whose vibration intensity is greater than or equal to a detection threshold.

10. The monitoring system according to claim 9, including a human-machine interface configured to display the history of vibratory events.

11. The monitoring system according to claim 9 or 10, wherein the software means is configured to present the history of vibratory events in a way that facilitates their processing, for example, in the form of a histogram.

12. The monitoring system according to one of claims 9 to 11, wherein the communication means include a server sending the signal to a terminal of a user, for example, on a smartphone.

13. The monitoring system according to one of claims 9 to 12, wherein the equipment is an opening frame of a building, such as a piece of joinery, particularly a door or a window, or such as a shutter or vertical blind or horizontal blind.

14. The monitoring system according to claim 13, including a home automation box that implements the software means and is configured to communicate with a terminal of a user.

15. The monitoring system according to one of claims 9 to 13, wherein the detection sensor integrates the software means, and the communication means with a user adjustment tool includes wired or radio means.

Images