A monitoring method, system, apparatus and electronic device

Abstract

Embodiments of the present application provide a monitoring method, system, device and electronic equipment, and relate to the technical field of monitoring. The method is applied to a data processing device in a monitoring system, the system further includes at least one monitoring device group, each monitoring device group includes at least one monitoring device and is located in the same monitoring area. The method includes: acquiring a specified correspondence sent by each monitoring device; determining, according to a pre-established correspondence between a device identifier and an area identifier and each specified correspondence, a feature identifier corresponding to each monitoring device in at least one area identifier at a time when a monitoring result is monitored; displaying a time image corresponding to at least one area identifier; or outputting time image data corresponding to at least one area identifier to a display device, so that the display device displays a time image corresponding to at least one area identifier. Compared with the prior art, the application of the scheme provided by the embodiments of the present application improves the intuitiveness of monitoring information.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of monitoring, in particular to a monitoring method, system, device and electronic equipment. BACKGROUND

[0002] In order to realize real-time monitoring of special groups of people, such as the elderly, pregnant women, etc., a large number of nursing staff are needed to monitor the monitored objects. However, the number of nursing staff is often in short supply.

[0003] In related technologies, a plurality of different types of monitoring devices can be used to monitor the vital signs, living environment, etc. of the monitored objects, such as respiratory monitoring sensors, heart rate monitoring sensors, blood pressure monitoring sensors, bed leaving monitoring sensors and smoke monitoring sensors, etc., so as to realize monitoring of the monitored objects. However, when the nursing staff monitors the monitored objects through the information fed back by the various monitoring devices, due to the large number of types and quantities of monitoring information sent by the various monitoring devices, the large amount of monitoring information is complex, and the monitoring information cannot be directly seen by the nursing staff. The nursing staff may be visually fatigued, leading to the occurrence of missed judgment, misjudgment, etc. of abnormal conditions, and thus, when the monitored object has an unexpected situation, the nursing staff may not monitor in time, causing more serious harm to the monitored object. SUMMARY

[0004] The purpose of the embodiments of the present application is to provide a monitoring method, system, device and electronic equipment to improve the intuitiveness of monitoring information. The specific technical solutions are as follows:

[0005] In a first aspect, the embodiments of the present application provide a monitoring method applied to a data processing device in a monitoring system, the system further comprising: at least one monitoring device group, each monitoring device group comprising at least one monitoring device and being located in the same monitoring area; the method comprising:

[0006] obtaining a specified correspondence relationship sent by each monitoring device; wherein the specified correspondence relationship is that each monitoring device monitors a specified object in the monitoring area in a specified type, and when the obtained monitoring result meets the preset condition corresponding to the monitoring device, the corresponding relationship about the monitoring result, the time when the monitoring result is monitored and the device identifier of the monitoring device is sent;

[0007] determining, according to a pre-established correspondence relationship between the device identifier and the area identifier and each specified correspondence relationship, for at least one area identifier, a feature identifier corresponding to each time when the monitoring result is monitored; wherein any feature identifier represents the content of the monitoring result monitored by the monitoring device corresponding to the monitoring area at any time when the monitoring result is monitored;

[0008] Display at least one time image corresponding to a region identifier, or output at least one time image data corresponding to a region identifier to a display device, so that the display device displays at least one time image corresponding to a region identifier; wherein, each time when a monitoring result is detected in any time image displays a feature represented by a feature identifier corresponding to the region identifier of that time, and any time image data includes feature identifiers of each time when a monitoring result is detected corresponding to the region identifier of that time image data.

[0009] Optionally, in one specific implementation, the method further includes:

[0010] For any monitoring device, based on the monitoring results continuously received from two specified correspondences sent by the monitoring device, the content of the monitoring results corresponding to the monitoring device in a specified time period is determined; wherein, the specified time period is: the time range between the times in the two specified correspondences;

[0011] Based on the content of the monitoring results of the monitoring device in the specified time period, the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device belongs is determined; wherein, the feature identifier of the specified time period represents the content of the monitoring results of the monitoring device in the monitoring area in the specified time period;

[0012] The specified time period in the time image corresponding to the area identifier of the monitoring area to which the monitoring device belongs displays the features represented by the feature identifier of the specified time period.

[0013] Optionally, in one specific implementation, the method further includes:

[0014] According to a specified period, the time image data corresponding to each region identifier generated within the time range corresponding to each specified period is stored;

[0015] Obtain a target time image output instruction; wherein, the target time image output instruction includes a target region identifier and a target time range;

[0016] Extract the target time image data generated within the target time range corresponding to the target region identifier from the stored time image data;

[0017] Based on the target time image data, display the target time image, or output the target time image data to the display device so that the display device displays the target time image.

[0018] Optionally, in one specific implementation, each monitoring device group further includes an image acquisition device, which includes an infrared image acquisition device and / or a color image acquisition device; the method further includes:

[0019] The image acquired by the image acquisition device of the monitored area and the first area identifier of the monitored area where the image acquisition device is located are obtained;

[0020] If the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence is abnormal, image detection is performed on the image to obtain a first detection result. Based on the first detection result, it is determined whether the monitoring result in the specified correspondence is correct.

[0021] Optionally, in one specific implementation, the method further includes:

[0022] When the monitoring results in any specified correspondence indicate an anomaly, the correctness of the monitoring results in the specified correspondence is determined based on the specified monitoring results received within a specified time range.

[0023] The specified time range includes: a first preset time period before the time in the specified correspondence, and / or a second preset time period after the time in the specified correspondence; the specified monitoring result is: the monitoring result in the specified correspondence sent by the monitoring device that belongs to the same monitoring device group as the monitoring device that sent the specified correspondence.

[0024] Optionally, in one specific implementation, the method further includes:

[0025] When the monitoring result in the specified correspondence is incorrect, the corrected monitoring result corresponding to the specified correspondence is determined, and based on the corrected monitoring result, the feature identifier of the time when the monitoring result was monitored is corrected to the specified area identifier corresponding to the device identifier that monitored the monitoring result.

[0026] Optionally, in one specific implementation, the feature identifier includes a color identifier or a pattern identifier; the time image includes a time axis; and the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

[0027] Secondly, embodiments of the present invention provide a monitoring system, the system further comprising: at least one monitoring device group, each monitoring device group comprising at least one monitoring device and located in the same monitoring area.

[0028] Each monitoring device is used to monitor a specified object in its monitoring area of ​​a specified type; when the monitoring result meets the preset conditions corresponding to the monitoring device, it sends a specified correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device to the data processing device;

[0029] The data processing device is used to receive designated correspondences sent by various monitoring devices; based on a pre-established correspondence between device identifiers and area identifiers and each designated correspondence, determine the feature identifiers of the times when monitoring results are detected for at least one area identifier; display the time image corresponding to at least one area identifier, or output the time image data corresponding to at least one area identifier to a display device, so that the display device displays the time image corresponding to at least one area identifier; wherein, in any time image, each time when monitoring results are detected displays a feature represented by the feature identifier corresponding to that time of the area identifier corresponding to the time image, each feature identifier represents the content of the monitoring result detected by the monitoring device corresponding to the monitoring area at any time when monitoring results are detected, and any time image data includes the feature identifiers of the times when monitoring results are detected corresponding to the area identifier corresponding to the time image data.

[0030] Optionally, in one specific implementation, the data processing device is further configured to, for any monitoring device, determine the content of the monitoring result corresponding to a specified time period based on the monitoring results continuously received from two specified correspondences sent by the monitoring device; and determine the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device belongs, according to the content of the monitoring result corresponding to the monitoring device in the specified time period; wherein, the specified time period is the time range between the times in the two specified correspondences, and the feature identifier of the specified time period represents the content of the monitoring result of the monitoring device corresponding to the monitoring area in the specified time period; the specified time period in the time image corresponding to the area identifier of the monitoring area to which the monitoring device belongs displays the features represented by the feature identifier of the specified time period.

[0031] Optionally, in one specific implementation, the data processing device is further configured to: store time image data with specified identifiers added to each region identifier generated within the time range corresponding to each specified period according to a specified period; obtain a target time image output instruction; extract target time image data generated within the target time range corresponding to the target region identifier from the stored time image data; display the target time image according to the target time image data, or output the target time image data to the display device so that the display device displays the target time image; wherein, the target time image output instruction includes a target region identifier and a target time range.

[0032] Optionally, in one specific implementation, each monitoring device group also includes an image acquisition device, which includes an infrared image acquisition device and / or a color image acquisition device;

[0033] The image acquisition device is used to acquire images of the monitored area and send the acquired images and the first area identifier of the monitored area to the data processing device 103.

[0034] The data processing device is further configured to receive the image acquired by the image acquisition device in the monitored area and the first area identifier of the monitored area where the image acquisition device is located; when the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence indicates an anomaly, the device performs image detection on the image to obtain a first detection result, and determines whether the monitoring result in the specified correspondence is correct based on the first detection result.

[0035] Optionally, in one specific implementation, the data processing device is further configured to, when an anomaly is indicated in the monitoring result representation in any specified correspondence, determine whether the monitoring result in the specified correspondence is correct based on the specified monitoring results received within a specified time range; wherein, the specified time range includes: a first preset time period before the time in the specified correspondence, and / or, a second preset time period after the time in the specified correspondence; the specified monitoring result is: the monitoring result in the specified correspondence sent by a monitoring device belonging to the same monitoring device group as the monitoring device that sent the specified correspondence.

[0036] Optionally, in one specific implementation, the data processing device is further configured to determine the corrected monitoring result corresponding to the specified correspondence when the monitoring result in the specified correspondence is incorrect, and correct the feature identifier of the time when the monitoring result was monitored by the specified area identifier corresponding to the device identifier that monitored the monitoring result according to the corrected monitoring result.

[0037] Optionally, in one specific implementation, the feature identifier includes a color identifier or a pattern identifier; the time image includes a time axis; and the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

[0038] Thirdly, embodiments of the present invention also provide a monitoring device, a data processing device applied in a monitoring system, the system further comprising: at least one monitoring device group, each monitoring device group including at least one monitoring device and located in the same monitoring area; the device comprising:

[0039] The relationship acquisition module is used to acquire the specified correspondence sent by each monitoring device; wherein, the specified correspondence is the correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device when the monitoring result obtained by each monitoring device performs a specified type of monitoring on a specified object in its monitoring area and meets the preset conditions corresponding to the monitoring device.

[0040] The feature identification determination module is used to determine the feature identification of each time when the monitoring result is detected for at least one area identifier based on the pre-established correspondence between device identifiers and area identifiers and each specified correspondence; wherein, any feature identification represents the content of the monitoring result detected by the monitoring device corresponding to the monitored area at any time when the monitoring result is detected;

[0041] A time image display module is used to display a time image corresponding to at least one region identifier, or to output time image data corresponding to at least one region identifier to a display device, so that the display device displays a time image corresponding to at least one region identifier; wherein, in any time image, each time when a monitoring result is detected displays a feature represented by a feature identifier corresponding to that time corresponding to the region identifier of the time image, and any time image data includes feature identifiers of each time when a monitoring result is detected corresponding to the region identifier of the time image data.

[0042] Optionally, in one specific implementation, the apparatus further includes:

[0043] The specified time period feature identification determination module is used to determine the content of the monitoring results of any monitoring device within a specified time period based on the monitoring results continuously received from two specified correspondences sent by the monitoring device; wherein, the specified time period is the time range between the times in the two specified correspondences;

[0044] Based on the content of the monitoring results of the monitoring device in the specified time period, the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device belongs is determined; wherein, the feature identifier of the specified time period represents the content of the monitoring results of the monitoring device in the monitoring area in the specified time period;

[0045] The specified time period in the time image corresponding to the area identifier of the monitoring area to which the monitoring device belongs displays the features represented by the feature identifier of the specified time period.

[0046] Optionally, in one specific implementation, the apparatus further includes:

[0047] The time image storage module is used to store time image data corresponding to each region identifier generated within the time range of each specified period, according to a specified period.

[0048] Obtain a target time image output instruction; wherein, the target time image output instruction includes a target region identifier and a target time range;

[0049] Extract the target time image data generated within the target time range corresponding to the target region identifier from the stored time image data;

[0050] Based on the target time image data, display the target time image, or output the target time image data to the display device so that the display device displays the target time image.

[0051] Optionally, in one specific implementation, each monitoring device group further includes an image acquisition device, which includes an infrared image acquisition device and / or a color image acquisition device; the device further includes:

[0052] The first monitoring result judgment module is used to obtain the image acquired by the image acquisition device of the monitored area and the first area identifier of the monitored area where the image acquisition device is located;

[0053] If the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence is abnormal, image detection is performed on the image to obtain a first detection result. Based on the first detection result, it is determined whether the monitoring result in the specified correspondence is correct.

[0054] Optionally, in one specific implementation, the apparatus further includes:

[0055] The second monitoring result judgment module is used to determine whether the monitoring result in the specified correspondence is correct based on the specified monitoring results received within a specified time range when an anomaly is found in the monitoring result representation in any specified correspondence; wherein, the specified time range includes: a first preset time period before the time in the specified correspondence, and / or, a second preset time period after the time in the specified correspondence; the specified monitoring result is: the monitoring result in the specified correspondence sent by the monitoring device that belongs to the same monitoring device group as the monitoring device that sent the specified correspondence.

[0056] Optionally, in one specific implementation, the apparatus further includes:

[0057] The identification correction module is used to determine the correction monitoring result corresponding to the specified correspondence when the monitoring result in the specified correspondence is incorrect, and to correct the feature identifier of the time when the monitoring result was monitored by the specified area identifier corresponding to the device identifier that monitored the monitoring result based on the correction monitoring result.

[0058] Optionally, in one specific implementation, the feature identifier includes a color identifier or a pattern identifier; the time image includes a time axis; and the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

[0059] Fourthly, embodiments of the present invention provide an electronic device, including a processor and a memory;

[0060] Memory, used to store computer programs;

[0061] When a processor executes a program stored in memory, it implements any of the monitoring methods provided in the first aspect above.

[0062] Fifthly, embodiments of the present invention provide a computer-readable medium storing a computer program, which, when executed by a processor, implements the steps of any of the monitoring methods provided in the first aspect.

[0063] In a sixth aspect, embodiments of the present invention provide a computer program product containing instructions that, when run on a computer, cause the computer to perform the steps of any of the monitoring methods provided in the first aspect.

[0064] Beneficial effects of the embodiments of the present invention:

[0065] As can be seen from the above, by applying the solution provided in the embodiments of the present invention, a monitoring system including a data processing device and at least one monitoring device group can be set up. Each monitoring device group includes at least one monitoring device and is located in the same monitoring area. Each monitoring device performs a specified type of monitoring on a specified object in its monitoring area. When the monitoring result meets the preset conditions corresponding to the monitoring device, it sends a specified correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device to the data processing device. The data processing device can pre-establish a correspondence between device identifiers and area identifiers. Therefore, after obtaining the specified correspondence sent by each monitoring device, the data processing device can determine the area identifier corresponding to the device identifier in each specified correspondence based on the pre-established correspondence between device identifiers and area identifiers. Thus, for each area identifier, the specified correspondences corresponding to that area identifier can be determined. Then, for each specified correspondence, the time and content of the monitoring result detected in that specified correspondence can be determined. Furthermore, based on the content of the monitoring result, the feature identifier corresponding to the time of the monitoring result can be determined. Further, the feature identifier representing the time of the monitoring result can be displayed in the time image corresponding to the area identifier. Alternatively, the time image data corresponding to the area identifier can be output to the display device so that the display device displays the time image. The time image data includes the feature identifiers of the times of the monitoring result detected corresponding to the area identifier of the time image data.

[0066] Based on this, by applying the solution provided in the embodiments of the present invention, the monitoring status of each monitoring area can be displayed by showing a time image of the features represented by the feature identifier. This allows caregivers to clearly and intuitively monitor each monitoring area when monitoring the subject based on the information fed back from each monitoring device, improving the intuitiveness of the monitoring information and avoiding omissions or misjudgments of abnormal situations due to visual fatigue. In turn, this improves the effectiveness of monitoring the subject. Attached Figure Description

[0067] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings.

[0068] Figure 1 A schematic diagram of a monitoring system provided in an embodiment of the present invention;

[0069] Figure 2 A schematic flowchart of a monitoring method provided in an embodiment of the present invention;

[0070] Figure 3 This is a schematic diagram of a timeline with added color markers;

[0071] Figure 4 A schematic diagram of another timeline with added color markers;

[0072] Figure 5 This is a schematic diagram of a preset timeline with added color markers;

[0073] Figure 6 This is a schematic diagram of the structure of a monitoring device provided in an embodiment of the present invention;

[0074] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0075] Figure 8 This is a schematic diagram of another electronic device provided in an embodiment of the present invention. Detailed Implementation

[0076] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art based on this application are within the scope of protection of the present invention.

[0077] In related technologies, multiple different types of monitoring devices are typically used to monitor data such as the vital signs and living environment of the person being cared for. However, when caregivers monitor the person being cared for based on the information fed back from these various monitoring devices, the sheer volume and variety of information can lead to visual fatigue, resulting in missed or misjudged abnormalities. Consequently, in the event of an accident involving the person being cared for, the lack of timely intervention by caregivers could cause more serious harm to the person being cared for.

[0078] To address the aforementioned technical problems, embodiments of the present invention provide a monitoring method applied to a data processing device in a monitoring system. The monitoring system further includes at least one monitoring device group, and each monitoring device group includes at least one monitoring device and is located in the same monitoring area.

[0079] For example, Figure 1 This is a schematic diagram of the structure of a monitoring system provided in an embodiment of the present invention, as shown below. Figure 1As shown, the system may include: a data processing device 103 and at least one monitoring device group 101, each monitoring device group including at least one monitoring device 102 and located in the same monitoring area.

[0080] This method is applicable to various monitoring scenarios, such as monitoring each room in a nursing home or each ward in a hospital. Therefore, this embodiment of the invention does not limit the application scenarios of the method.

[0081] Monitoring equipment can be a device used to perform a specified type of monitoring on a specified object within a monitored area. For example, the monitoring equipment mentioned above may include sensors for monitoring or radar for monitoring.

[0082] For example, the monitoring device may include one or more devices such as a breathing sensor, a heart rate sensor, a blood pressure sensor, a smoke sensor, a fall sensor, a breathing monitoring radar, a heart rate monitoring radar, a smoke monitoring radar, and a fall monitoring radar.

[0083] Different types of monitoring devices can monitor different objects, and different types of monitoring devices can monitor different types of objects within their monitoring area. Therefore, each monitoring device performs a specific type of monitoring on a specific object; the monitoring device, the specified object, and the specified type of monitoring correspond to each other.

[0084] For example, respiratory monitoring devices for monitoring respiratory rate, heart rate monitoring devices for monitoring heart rate, blood pressure monitoring devices for monitoring blood pressure, and fall monitoring devices for monitoring whether a fall has occurred.

[0085] Data processing devices can be various electronic devices capable of information processing and interaction, such as servers, desktop computers, and laptops. Therefore, this embodiment of the invention does not limit the subject performing the method.

[0086] This invention provides a monitoring method applied to a data processing device in a monitoring system. The monitoring system further includes at least one monitoring device group, each monitoring device group including at least one monitoring device and located in the same monitoring area, and may include the following steps:

[0087] Obtain the specified correspondence sent by each monitoring device; wherein, the specified correspondence is the correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device when the monitoring result obtained by each monitoring device performs a specified type of monitoring on a specified object in its monitoring area and meets the preset conditions corresponding to the monitoring device.

[0088] Based on the pre-established correspondence between device identifiers and area identifiers, and each specified correspondence, a feature identifier is determined for at least one area identifier to represent the time when each monitoring result is detected; wherein, any feature identifier represents the content of the monitoring result detected by the monitoring device corresponding to the monitored area at any time when a monitoring result is detected;

[0089] Display at least one time image corresponding to a region identifier, or output at least one time image data corresponding to a region identifier to a display device, so that the display device displays at least one time image corresponding to a region identifier; wherein, each time when a monitoring result is detected in any time image displays a feature represented by a feature identifier corresponding to the region identifier of that time, and any time image data includes feature identifiers of each time when a monitoring result is detected corresponding to the region identifier of that time image data.

[0090] As can be seen from the above, by applying the solution provided in the embodiments of the present invention, a monitoring system including a data processing device and at least one monitoring device group can be set up. Each monitoring device group includes at least one monitoring device and is located in the same monitoring area. Each monitoring device performs a specified type of monitoring on a specified object in its monitoring area. When the monitoring result meets the preset conditions corresponding to the monitoring device, it sends a specified correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device to the data processing device. The data processing device can pre-establish a correspondence between device identifiers and area identifiers. Therefore, after obtaining the specified correspondence sent by each monitoring device, the data processing device can determine the area identifier corresponding to the device identifier in each specified correspondence based on the pre-established correspondence between device identifiers and area identifiers. Thus, for each area identifier, the specified correspondences corresponding to that area identifier can be determined. Then, for each specified correspondence, the time and content of the monitoring result detected in that specified correspondence can be determined. Furthermore, based on the content of the monitoring result, the feature identifier corresponding to the time of the monitoring result can be determined. Further, the feature identifier representing the time of the monitoring result can be displayed in the time image corresponding to the area identifier. Alternatively, the time image data corresponding to the area identifier can be output to the display device so that the display device displays the time image. The time image data includes the feature identifiers of the times of the monitoring result detected corresponding to the area identifier of the time image data.

[0091] Based on this, the solution provided by the embodiments of the present invention can utilize time-varying images displaying features represented by characteristic identifiers to show the monitoring status of each monitoring area. This allows caregivers to clearly and intuitively monitor each monitoring area when using information from various monitoring devices, improving the intuitiveness of monitoring information and avoiding missed or misjudged abnormalities due to visual fatigue, thereby enhancing the effectiveness of care for the monitored individual.

[0092] The monitoring method provided by an embodiment of the present invention will now be described in detail with reference to the accompanying drawings.

[0093] Figure 2 This is a flowchart illustrating a monitoring method provided in an embodiment of the present invention. The monitoring method is applied to a data processing device in a monitoring system. The monitoring system further includes at least one monitoring device group, each monitoring device group comprising at least one monitoring device located within the same monitoring area, such as... Figure 2 As shown, the method includes the following steps S201-S203.

[0094] S201: Obtain the specified correspondence sent by each monitoring device;

[0095] The designated correspondence is the correspondence between the monitoring results, the time when the monitoring results are detected, and the device identifier of the monitoring device when the monitoring results obtained by each monitoring device perform a designated type of monitoring on a designated object in its monitoring area and meet the preset conditions corresponding to the monitoring device.

[0096] When using a monitoring system to monitor a monitoring area, each monitoring area corresponds to a monitoring device group. Thus, the monitoring area is the monitoring area where each monitoring device in the corresponding monitoring device group is located. In turn, each monitoring device can perform specified type of monitoring on the specified objects in its monitoring area according to its own monitoring function.

[0097] For example, each monitored area can be a room or a house with multiple rooms.

[0098] Each monitoring device has a preset monitoring frequency, so the monitoring device can perform specified type of monitoring on specified objects appearing in its monitoring area according to its own monitoring frequency.

[0099] For example, the fall sensor has a monitoring frequency of u, and the monitored area is the living room. Therefore, the fall sensor monitors a specified object in the living room according to the monitoring frequency u to determine whether it has fallen, and obtains the monitoring results.

[0100] Therefore, when each monitoring device performs a specified type of monitoring on a designated object within its monitoring area, it can obtain various monitoring results. Then, for each monitoring result, the monitoring device can determine whether the monitoring result meets the preset conditions corresponding to that monitoring device. If it does, the monitoring device can establish a specified correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device, and send the established specified correspondence to the data processing device.

[0101] In some cases, some monitoring devices can send the aforementioned specified correspondence to the data processing device when the monitoring results indicate an anomaly.

[0102] For example, when a fall sensor detects a fall within its monitored area, it can determine that an anomaly has occurred. Therefore, it can send the monitoring result of the fall, the time the monitoring result was detected, and the designated correspondence between the fall sensor's device identifier and the data processing device. If the fall sensor detects no fall within its monitored area, it can determine that no anomaly has occurred and will not send the monitoring result of no fall, the time the monitoring result was detected, or the designated correspondence between the fall sensor's device identifier and the data processing device.

[0103] In some cases, monitoring devices will send the aforementioned specified correspondence to the data processing device each time a monitoring result is detected.

[0104] For example, each time the off-bed sensor receives a monitoring result, it sends a specified correspondence between the monitoring result, the time the monitoring result was detected, and the device identifier of the off-bed sensor to the data processing device.

[0105] Optionally, the data processing device can store the specified correspondence sent by each monitoring device.

[0106] For example, the data processing device can store the specified correspondence sent by each monitoring device according to a preset period; in order to save storage space of the data processing device, the preset storage period can be longer than the period corresponding to the monitoring frequency of each monitoring device.

[0107] S202: Based on the pre-established correspondence between device identifiers and area identifiers and each specified correspondence, determine the feature identifier of each time when the monitoring result is detected for at least one area identifier.

[0108] Each feature identifier represents the content of the monitoring result detected by the monitoring device at any given moment when a monitoring result is detected in the monitored area.

[0109] The data processing device can pre-establish a correspondence between device identifiers and area identifiers. When the data processing device obtains a specified correspondence sent by the monitoring device, it can obtain the device identifier of the monitoring device that sent the specified correspondence for each specified correspondence. Then, it can use the obtained device identifier of the monitoring device to find the area identifier corresponding to the device identifier in the above-mentioned correspondence between device identifiers and area identifiers, thereby determining the monitoring area to which the monitoring device belongs.

[0110] Therefore, after receiving the monitoring results, the time when the monitoring results were detected, and the device identifier of the monitoring device sent by the monitoring device, the data processing device can determine the area identifier corresponding to the device identifier in the specified correspondence for each specified correspondence, based on the pre-established correspondence between device identifiers and area identifiers.

[0111] The data processing device can pre-establish a correspondence between feature identifiers and monitoring results. In this way, after obtaining the monitoring results in the specified correspondence, the data processing device can use the obtained monitoring results in the specified correspondence to find the feature identifier corresponding to the monitoring results based on the content of the monitoring results.

[0112] In this way, for each specified correspondence, we can determine the feature identifier of the time when the monitoring results are detected for each region identifier.

[0113] The aforementioned feature identifiers can be color identifiers or pattern identifiers. This embodiment of the invention does not impose specific limitations on this.

[0114] Optionally, the content of the monitoring results in each specified correspondence may be different, and thus, the feature identifiers corresponding to the time in each specified correspondence may be different.

[0115] For example, if the feature identifier is a color identifier, and the monitoring result of the specified correspondence indicates that there is no one in bed, then the color identifier of the time in the specified correspondence is determined to be the color identifier corresponding to the monitoring result: white; if the monitoring result of the specified correspondence indicates that someone has fallen, then the color identifier of the time in the specified correspondence is determined to be the color identifier corresponding to the monitoring result: red, etc.

[0116] Optionally, in one specific implementation, the monitoring method provided in this embodiment of the invention may further include the following steps 11-12:

[0117] Step 11: For any monitoring device, based on the monitoring results continuously received from the two specified correspondences sent by the monitoring device, determine the content of the monitoring results corresponding to the monitoring device in the specified time period; wherein, the specified time period is: the time range between the times in the two specified correspondences;

[0118] Step 12: Based on the monitoring results of the monitoring device during the specified time period, determine the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device belongs;

[0119] Among them, the feature identifier for a specified time period represents the content of the monitoring results of the monitoring device for the monitored area during the specified time period;

[0120] Among them, the time image corresponding to the area identifier of the monitoring area to which the monitoring device belongs displays the features represented by the feature identifier of the specified time period.

[0121] Specifically, the features represented by the feature identifier of a specified time period can be displayed in a time image on this data processing device, or the time image data can be output to a display device to display the features represented by the feature identifier of a specified time period in the time image on the display device.

[0122] In this specific implementation, the data processing device can, for any monitoring device, determine the content of the monitoring result corresponding to a specified time period within the time range between the times in the two specified correspondences of the monitoring device, based on the monitoring results continuously received from the monitoring device in two specified correspondences. Thus, based on the determined content of the monitoring result, the feature identifier corresponding to the specified time period can be determined. Subsequently, the features represented by the feature identifier of the specified time period can be displayed in the specified time period in the time image corresponding to the area identifier of the monitoring area to which the monitoring device belongs.

[0123] For example, the feature identifier is a color identifier. When a bed / away sensor monitors its assigned monitoring area, if at 9:00 AM the sensor sends a message to the data processing device indicating someone is in bed, and at 10:00 AM the sensor sends a message indicating no one is in bed, then based on the monitoring results sent by the bed / away sensor at 9:00 and 10:00 AM, it can be determined that someone was in bed during the time period from 9:00 to 10:00 AM. Therefore, a color identifier can be determined for the period from 9:00 to 10:00 AM, and this determined color identifier is added to the timeline corresponding to the area identifier of the monitored area by the bed / away sensor for the time period from 9:00 to 10:00 AM.

[0124] S203: Display the time image corresponding to at least one region identifier, or output the time image data corresponding to at least one region identifier to the display device so that the display device displays the time image corresponding to at least one region identifier;

[0125] In any given time image, the time at which a monitoring result is detected is displayed with a feature identifier corresponding to the region identifier of that time, and any given time image data includes the feature identifier of each time at which a monitoring result is detected, corresponding to the region identifier of that time image data.

[0126] After the data processing device determines the time feature identifiers of each monitored result corresponding to at least one area identifier, it can display a time image showing the features represented by the feature identifiers of the time corresponding to the area identifier at that time.

[0127] If the monitoring system also includes a display device, the data processing device can send time image data of feature identifiers corresponding to at least one area identifier, including time image data, to the display device, so that the display device can display time images corresponding to at least one area identifier, which facilitates caregivers in monitoring the person being cared for, thereby improving the effectiveness of care for the person being cared for.

[0128] The display device can be an electronic device used to display data, such as a monitor, desktop computer, laptop computer, etc.

[0129] Optionally, the aforementioned time image can be a time axis or a circular graph used to represent a time period, etc. The embodiments of the present invention do not specifically limit this.

[0130] The time images of each region can be drawn into the same image or into different images.

[0131] For example, a two-dimensional coordinate system can be drawn with the horizontal axis representing time and the vertical axis representing region identifiers, such as... Figure 3 The image shows a timeline with color-coded markers corresponding to a monitoring area identified as 1. For example, ... Figure 3 As shown, in the monitoring area marked as zone 1, from 12:00 to 13:36, the separation bed sensor detected no one on the bed; from 13:36 to 14:59, the bed-in-bed sensor detected someone on the bed. During this period, the rollover sensor detected the designated object rolling over at 13:45, 13:53, 14:13, 14:35, and 14:59 respectively. Thus, caregivers can... Figure 3 They will supervise the monitored area marked as 1.

[0132] For example, a two-dimensional coordinate system can be drawn with the horizontal axis as a preset time axis and the vertical axis as region identifiers, such as... Figure 4 As shown, this is a preset timeline with color-coded markers corresponding to the monitoring area identified as region 1 and the monitoring area identified as region 2. Among them, as... Figure 4 As shown, the color bar at the top represents the monitored area (area identifier 2) with a color label added in the preset timeline, while the color bar at the bottom represents the monitored area (area identifier 1) with a color label added in the preset timeline. Figure 4 The diagram shows the monitoring results of monitoring equipment group 101 in monitoring area 1 (area 1) from 12:00 to 14:59. The coordinate system shows that from 12:00 to 13:36, the separation bed sensor detected no one on the bed; from 13:36 to 14:59, the bed sensor detected someone on the bed. During this period, the flipping sensor detected the designated object flipping at 13:45, 13:53, 14:13, 14:35, and 14:59. The diagram also shows the monitoring results of monitoring equipment group 101 in monitoring area 2 from 12:00 to 14:59. The coordinate system shows that from 12:00 to 13:01, the separation bed sensor detected no one on the bed; from 13:01 to 14:59, the bed sensor detected someone on the bed. During this period, the flipping sensor detected the designated object flipping at 13:40 and 14:24. In this way, the timelines corresponding to multiple area identifiers are plotted on the same preset timeline, which improves the intuitiveness of monitoring information and facilitates the monitoring of multiple monitoring areas by nursing staff, thereby improving the care effect on the person being cared for.

[0133] Optionally, since a monitoring device group includes at least one monitoring device, for each area identifier corresponding to the timeline, a corresponding feature identifier can be added to the area corresponding to each monitoring device. The feature identifier includes color identifiers or pattern identifiers.

[0134] For example, for each region identifier, a two-dimensional coordinate system can be drawn with the time axis on the horizontal axis and the region identifier on the vertical axis, such as... Figure 5The image shows a timeline with color-coded markers corresponding to a monitored area (area identifier 1). From top to bottom, the first row of color bars represents data monitored by the bed-on sensor in the monitored area of ​​area identifier 1: from 12:00 to 13:36 and from 14:13 to 14:35, the bed-on sensor detected someone in bed. The second row of color bars represents data monitored by the bed-off sensor in the monitored area of ​​area identifier 1: from 13:36 to 13:45, from 13:53 to 14:13, and from 14:35 to 14:59, the bed-off sensor detected no one in bed. The third row of color bars represents data monitored by the designated object sensor in the monitored area of ​​area identifier 1: from 13:45 to 13:53 and from 14:59 to 15:30, no designated object was detected in the monitored area of ​​area identifier 1. This allows caregivers to... Figure 5 The monitoring area marked as 1 is monitored to improve the intuitiveness of monitoring information.

[0135] As can be seen from the above, by applying the solution provided in the embodiments of the present invention, the monitoring status of each monitoring area can be displayed using time-varying images showing features represented by characteristic identifiers. This allows caregivers to clearly and intuitively monitor each monitoring area when using information from various monitoring devices to care for the individual, improving the intuitiveness of monitoring information and avoiding missed or misjudged abnormalities due to visual fatigue. Ultimately, this improves the effectiveness of care for the individual.

[0136] In some cases, users need to understand the physical condition and activity status of the person being cared for within the same time period across different time ranges, and compare the physical condition and activity status of the person being cared for within the same time period across different time ranges to adjust the care methods for the person being cared for, thereby improving the care effectiveness.

[0137] For example, one can compare the physical condition and activity level of the person being cared for between 8 a.m. and 8 p.m. each day to understand the recovery status of the person's condition.

[0138] Based on this, optionally, in one specific implementation, the monitoring method provided by the embodiments of the present invention may further include the following steps 21-24:

[0139] Step 21: Store the time image data corresponding to each region identifier generated within the time range corresponding to each specified period, according to the specified period;

[0140] Step 22: Obtain the target time image output command;

[0141] The target time image output instruction includes the target region identifier and the target time range;

[0142] Step 23: Extract the target time image data generated within the target time range corresponding to the target region identifier from the stored time image data;

[0143] Step 24: Display the target time image based on the target time image data, or output the target time image data to the display device so that the display device displays the target time image.

[0144] In this specific implementation, the data processing device can store the time image data corresponding to each area identifier generated within the time range of each specified period according to a pre-set specified period.

[0145] The specified period can be daily, weekly, monthly, etc. This embodiment of the invention does not impose specific limitations on this.

[0146] For example, if 0:00-24:00 is taken as the specified period, the data processing device can store the aforementioned time image data generated within each time range corresponding to 0:00-24:00; if 7 days is taken as the specified period, the data processing device can store the aforementioned time image data generated within each time range corresponding to 7 days.

[0147] In other words, after the data processing device completes the generation of time image data for a specified period of time, it can store the time image data corresponding to each region identifier generated within the specified period of time.

[0148] For example, after the data processing device completes the generation of time image data for a time range corresponding to 0:00-24:00, it can store the time image data corresponding to the area identifiers generated within that time range.

[0149] In this way, after receiving the target time image output instruction, which includes the target area identifier and the target time range, the data processing device can extract the target time image data generated within the target time range corresponding to the target area identifier from the stored time image data.

[0150] If the data processing device can display data, then after extracting the target time image data, the target time image can be displayed based on the target time image data.

[0151] If the monitoring system also includes a display device, the data processing device can output the target time image data to the display device after extracting the target time image data, so that the display device can display the target time image.

[0152] The target time range mentioned above includes: a time range over a specified period and a time period over each specified period; for example, the target time range could be: from 8:00 AM to 8:00 PM every day from June 1st to June 5th.

[0153] For example, the specified period is one day, the target area is identified as area identifier 1, and the target time range is from 7:00 to 22:00 on June 12th. After receiving the output instruction for the target time image including area identifier 1 and the target time range of 7:00 to 22:00 on June 12th, the data processing device can extract the time image data generated daily corresponding to area identifier 1 from the stored time image data. Thus, it can extract the time image data corresponding to June 12th in each specified period. Furthermore, it can extract the target time image data corresponding to 7:00 to 22:00 from the time range of 0:00 to 24:00 on June 12th, and display the target time image based on the extracted target time image data corresponding to 7:00 to 22:00 on June 12th, or output the target time image data to the display device so that the display device displays the target time image.

[0154] When the data processing equipment receives monitoring results indicating an anomaly, it can send an alarm signal to the nursing staff through the alarm device in order to alert them of the anomaly in the monitored area.

[0155] Therefore, optionally, the monitoring system may also include an alarm device;

[0156] When the data processing device receives a monitoring result indicating an anomaly in a specified correspondence, it sends an alarm command to the alarm device to indicate the anomaly. Upon receiving the alarm command from the data processing device, the alarm device outputs an alarm signal to alert the nursing staff that an anomaly exists in the monitored area. This reduces the rate of missed detection of anomalies and, consequently, improves the care effectiveness for the person being cared for.

[0157] The alarm signal may include one or more of various signals such as text signals, sound signals, and vibration signals. This embodiment of the invention does not specifically limit this type of signal.

[0158] In some cases, the monitoring results sent by the monitoring equipment may contain errors. Therefore, when the data processing equipment receives a monitoring result indicating an anomaly, it needs to determine whether the anomaly in the monitoring result is correct information.

[0159] Based on this, optionally, in one specific implementation, each monitoring device group further includes an acquisition device; the image acquisition device includes an infrared image acquisition device, and / or a color image acquisition device; the monitoring method provided in this embodiment of the invention may further include the following steps 31-32:

[0160] Step 31: Obtain the image acquired by the image acquisition device of the monitored area and the first area identifier of the monitored area where the image acquisition device is located;

[0161] Step 32: When the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence is abnormal, perform image detection on the image to obtain the first detection result, and determine whether the monitoring result in the specified correspondence is correct based on the first detection result.

[0162] In this specific implementation, each monitoring device group also includes an image acquisition device, which may include an infrared image acquisition device and / or a color image acquisition device.

[0163] When the aforementioned image acquisition device includes an infrared image acquisition device, the aforementioned infrared image acquisition device can acquire infrared images of the monitored area, and after obtaining each infrared image acquisition image, send the acquired infrared image acquisition image and the first area identifier of the monitored area to the data processing device.

[0164] The aforementioned infrared image acquisition equipment may include infrared thermal imagers, etc. This embodiment of the invention does not specifically limit this aspect.

[0165] After receiving the infrared image acquisition image and the first area identifier sent by the infrared image acquisition device, the data processing device can perform image detection on each received infrared image acquisition image when the designated area identifier corresponding to the device identifier in any designated correspondence is the same as the first area identifier and the monitoring result in the designated correspondence is abnormal. Thus, a first detection result can be obtained. Then, based on the first detection result, it can be determined whether the monitoring result in the designated correspondence is correct.

[0166] For example, when the data processing device receives a monitoring result W indicating an anomaly, it can perform image detection on each infrared image based on the infrared image acquired by the infrared image acquisition device and the first area identifier of the monitored area. Thus, it can determine whether the monitoring result W is correct based on the obtained first detection result.

[0167] Among them, by using infrared image acquisition equipment to collect infrared images of the monitored area, and judging whether the monitoring results in any specified correspondence are correct, the privacy of the person being cared for can be prevented from being leaked, thereby improving the confidentiality of the person being cared for.

[0168] When the aforementioned image acquisition device includes a color image acquisition device, the aforementioned color image acquisition device can acquire images of the monitored area, and after obtaining each color image, send the acquired color image and the first area identifier of the monitored area to the data processing device.

[0169] The aforementioned color image acquisition device may include cameras, smart cameras, etc. This embodiment of the invention does not specifically limit its scope.

[0170] After receiving the color image and the first region identifier sent by the color image acquisition device, the data processing device can perform image detection on each received color image when the designated region identifier corresponding to the device identifier in any designated correspondence is the same as the first region identifier and the monitoring result in the designated correspondence is abnormal. Thus, a first detection result can be obtained. Then, based on the first detection result, it can be determined whether the monitoring result in the designated correspondence is correct.

[0171] In this way, if the monitoring results in the specified correspondence are correct, the target person who has an abnormality can be identified through the color image. Thus, caregivers can provide timely care to the person under their care when an abnormality occurs, thereby improving the care effect.

[0172] For example, when the data processing device receives a monitoring result E indicating an anomaly, it can perform image detection on each image based on the image sent by the color image acquisition device and the first area identifier of the monitored area. Based on the first detection result, it can determine whether the monitoring result E is correct. If the monitoring result E is correct, and the specified object in the image is a human, facial recognition can be used to identify the target person involved in the anomaly.

[0173] When the aforementioned image acquisition device includes an infrared image acquisition device and a color image acquisition device, the aforementioned infrared image acquisition device can acquire infrared images of the monitored area, and after obtaining each infrared image, send the acquired infrared image and the first area identifier of the monitored area to the data processing device.

[0174] After receiving the infrared image acquisition image and the first area identifier sent by the infrared image acquisition device, the data processing device can perform image detection on each received infrared image acquisition image when the designated area identifier corresponding to the device identifier in any designated correspondence is the same as the first area identifier and the monitoring result in the designated correspondence is abnormal. Thus, a first detection result can be obtained. Then, based on the first detection result, it can be determined whether the monitoring result in the designated correspondence is correct.

[0175] If the above monitoring results are correct, the target person who is abnormal can be identified through the color images captured by the color image acquisition device. As a result, caregivers can provide timely care to the person under their care when an abnormality occurs, thereby improving the care effect.

[0176] When data processing equipment receives monitoring results indicating anomalies, it needs to determine whether the anomaly is correct information. This can help avoid wasting care resources due to misjudgments by monitoring equipment.

[0177] Based on this, optionally, in one specific implementation, the monitoring method provided by the embodiment of the present invention may further include the following step 41:

[0178] Step 41: When the monitoring results in any specified correspondence indicate an anomaly, determine whether the monitoring results in the specified correspondence are correct based on the specified monitoring results received within the specified time range;

[0179] The specified time range includes: a first preset time period before the time in the specified correspondence, and / or a second preset time period after the time in the specified correspondence. The specified monitoring result is: the monitoring result in the specified correspondence sent by the monitoring device that belongs to the same monitoring device group as the monitoring device that sent the specified correspondence.

[0180] In this specific implementation, when the data processing device receives a monitoring result representation in any specified correspondence that is abnormal, in order to determine whether the abnormal monitoring result representation is correct, it can, when there is an abnormality in the monitoring result representation in the specified correspondence of the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device, determine whether the monitoring result is correct based on the monitoring results in the specified correspondence sent by the monitoring device belonging to the same monitoring device group as the monitoring device that sent the specified correspondence, within a specified time range of a first preset time period before the time in the specified correspondence and / or a second preset time period after the time in the specified correspondence.

[0181] In this way, by comparing the specified monitoring results received within a specified time range with those sent by monitoring devices belonging to the same monitoring device group 1 that sent the specified corresponding monitoring device, it can be determined whether the above monitoring results are correct, thereby improving the care effect of nursing staff and avoiding the waste of care resources due to misjudgment by monitoring device 102.

[0182] The first preset time and the second preset time can be the same or different. This embodiment of the invention does not impose specific limitations on this.

[0183] For example, if someone falls within the monitoring area where the fall sensor is located, the fall sensor will send a specified correspondence, including the monitoring result of the fall, the time of the monitoring result, and the device identifier of the fall sensor, to the data processing device. When the data processing device receives the specified correspondence, it can determine whether the monitoring result of the fall is correct based on the monitoring results received from the monitoring devices belonging to the same monitoring device group as the monitoring device that sent the specified correspondence, within a specified time range of a first preset time period before the time in the specified correspondence and / or a second preset time period after the time in the specified correspondence.

[0184] Optionally, the specified time range may include a first preset time period before the time in the specified correspondence and a second preset time period after the time in the specified correspondence.

[0185] In some cases, the monitoring results sent by the monitoring equipment in the specified correspondence may be incorrect. Therefore, for each monitoring result with errors, it is necessary to correct the feature identifier corresponding to the monitoring result, so as to avoid storing erroneous time images and thus improve the accuracy of subsequent extraction of time image data.

[0186] Based on this, optionally, in one specific implementation, the monitoring method provided by the embodiment of the present invention may further include the following step 51:

[0187] Step 51: When the monitoring result in the specified correspondence is incorrect, determine the correction monitoring result corresponding to the specified correspondence, and based on the correction monitoring result, correct the feature identifier of the time when the monitoring result was monitored, which corresponds to the specified area identifier of the device identifier that monitored the monitoring result.

[0188] In this specific implementation, when the monitoring result in the specified correspondence is incorrect, the data processing device can determine the correction monitoring result corresponding to the specified correspondence. Thus, based on the correction monitoring result, the device identifier of the monitoring result that needs to be corrected can be determined, and the time when the monitoring result was monitored can be determined by the specified area identifier corresponding to the specified area identifier.

[0189] If the monitoring result that needs to be corrected corresponds to the aforementioned time with a corresponding feature identifier, then the feature identifier of the time when the monitoring result was detected can be corrected.

[0190] If the monitoring result that needs correction does not have a corresponding feature identifier for the aforementioned time, then the feature identifier for the time when the monitoring result was detected can be determined.

[0191] In this way, when the monitoring result in the specified correspondence is incorrect, the data processing device can correct the feature identifier of the time when the monitoring result was monitored by the specified area identifier corresponding to the device identifier that monitored the monitoring result, and complete the modification of the monitoring result with errors. This avoids storing time image data with errors, thereby improving the accuracy of subsequent extraction of time image data.

[0192] Optionally, in one specific implementation, the feature identifier includes a color identifier or a pattern identifier; optionally, the time image includes a time axis; optionally, the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

[0193] In accordance with the above-described monitoring method, this embodiment of the invention also provides a monitoring system, which further includes: at least one monitoring device group, each monitoring device group including at least one monitoring device and located in the same monitoring area.

[0194] Figure 1 This is a schematic diagram of the structure of a monitoring system provided in an embodiment of the present invention, as shown below. Figure 1 As shown, the system may include: a data processing device 103 and at least one monitoring device group 101, each monitoring device group including at least one monitoring device 102 and located in the same monitoring area.

[0195] Each monitoring device 102 is used to monitor a specified object in its monitoring area of ​​a specified type. When the monitoring result meets the preset conditions corresponding to the monitoring device 102, it sends a specified correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device 102 to the data processing device 103.

[0196] The data processing device 103 is used to receive designated correspondences sent by each monitoring device 102; based on a pre-established correspondence between device identifiers and area identifiers and each designated correspondence, it determines feature identifiers for each time when a monitoring result is detected corresponding to at least one area identifier; wherein, any feature identifier represents the content of the monitoring result detected by the monitoring device corresponding to any time when a monitoring result is detected in the monitored area; it displays a time image corresponding to at least one area identifier, or outputs time image data corresponding to at least one area identifier to a display device, so that the display device displays a time image corresponding to at least one area identifier; wherein, each time when a monitoring result is detected in any time image displays a feature represented by the feature identifier corresponding to that time of the area identifier corresponding to the time image, and any time image data includes the feature identifiers of each time when a monitoring result is detected corresponding to the area identifier corresponding to the time image data.

[0197] As can be seen from the above, by applying the solution provided in the embodiments of the present invention, the monitoring status of each monitoring area can be displayed using time-varying images showing features represented by characteristic identifiers. This allows caregivers to clearly and intuitively monitor each monitoring area when using information from various monitoring devices to care for the individual, improving the intuitiveness of monitoring information and avoiding missed or misjudged abnormalities due to visual fatigue. Ultimately, this improves the effectiveness of care for the individual.

[0198] Optionally, in one specific implementation, the data processing device 103 is further configured to, for any monitoring device, determine the content of the monitoring results of the monitoring device 102 within a specified time period based on the monitoring results continuously received from two specified correspondences sent by the monitoring device 102; wherein, the specified time period is the time range between the times in the two specified correspondences; and, based on the content of the monitoring results of the monitoring device 102 within the specified time period, determine the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device 102 belongs; wherein, the feature identifier of the specified time period characterizes the content of the monitoring results of the monitoring device 102 within the monitoring area within the specified time period; and the specified time period in the time image corresponding to the area identifier of the monitoring area to which the monitoring device 102 belongs displays the features characterized by the feature identifier of the specified time period.

[0199] Optionally, in one specific implementation, the data processing device 103 is further configured to: store time image data with specified identifiers added to each region identifier generated within the time range corresponding to each specified period according to a specified period; obtain a target time image output instruction; extract target time image data generated within the target time range corresponding to the target region identifier from the stored time image data; display the target time image according to the target time image data, or output the target time image data to the display device so that the display device displays the target time image; wherein, the target time image output instruction includes a target region identifier and a target time range.

[0200] Optionally, in one specific implementation, each monitoring device group 101 further includes an image acquisition device, which includes an infrared image acquisition device and / or a color image acquisition device;

[0201] The image acquisition device is used to acquire images of the monitored area and send the acquired images and the first area identifier of the monitored area to the data processing device 103.

[0202] The data processing device 103 is further configured to receive the image acquired by the image acquisition device in the monitored area and the first area identifier of the monitored area where the image acquisition device is located; when the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence indicates an anomaly, the image is subjected to image detection to obtain a first detection result, and the monitoring result in the specified correspondence is determined to be correct based on the first detection result.

[0203] Optionally, in one specific implementation, the data processing device 103 is further configured to determine whether the monitoring results in the specified correspondence are correct based on the specified monitoring results received within a specified time range when an anomaly is found in the monitoring result representation in any specified correspondence.

[0204] The specified time range includes: a first preset time period before the time in the specified correspondence, and / or a second preset time period after the time in the specified correspondence; the specified monitoring result is: the monitoring result in the specified correspondence sent by the monitoring device 102 that belongs to the same monitoring device group 101 as the monitoring device 102 that sent the specified correspondence.

[0205] Optionally, in one specific implementation, the data processing device 103 is further configured to determine the correction monitoring result corresponding to the specified correspondence when the monitoring result in the specified correspondence is incorrect, and to correct the feature identifier of the time when the monitoring result was monitored by the specified area identifier corresponding to the device identifier that monitored the monitoring result according to the correction monitoring result.

[0206] Optionally, in one specific implementation, the feature identifier includes a color identifier or a pattern identifier; the time image includes a time axis; and the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

[0207] Based on the same inventive concept, and corresponding to the embodiments of the present invention provided above... Figure 1 One monitoring method shown, such as Figure 6 The diagram shown is a structural schematic of a monitoring device provided in an embodiment of the present invention. It is a data processing device applied in a monitoring system. The system further includes: at least one monitoring device group, each monitoring device group including at least one monitoring device and located in the same monitoring area; the device includes:

[0208] The relationship acquisition module 610 is used to acquire the specified correspondence sent by each monitoring device; wherein, the specified correspondence is the correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device when the monitoring result obtained by each monitoring device performs a specified type of monitoring on a specified object in its monitoring area and meets the preset conditions corresponding to the monitoring device.

[0209] The feature identifier determination module 620 is used to determine the feature identifier of each time when the monitoring result is detected for at least one area identifier based on a pre-established correspondence between device identifiers and area identifiers and each specified correspondence; wherein, any feature identifier represents the content of the monitoring result detected by the monitoring device corresponding to the monitored area at any time when the monitoring result is detected;

[0210] The time image display module 630 is used to display a time image corresponding to at least one region identifier, or to output time image data corresponding to at least one region identifier to a display device, so that the display device displays a time image corresponding to at least one region identifier; wherein, each time when a monitoring result is detected in any time image displays a feature represented by a feature identifier corresponding to that time corresponding to the region identifier of the time image, and any time image data includes feature identifiers of each time when a monitoring result is detected corresponding to the region identifier of the time image data.

[0211] As can be seen from the above, by applying the solution provided in the embodiments of the present invention, the monitoring status of each monitoring area can be displayed using time images characterized by feature identifiers. This allows caregivers to clearly and intuitively monitor each monitoring area when using information from various monitoring devices to care for the individual, improving the intuitiveness of monitoring information and avoiding missed or misjudged abnormalities due to visual fatigue. Ultimately, this improves the effectiveness of care for the individual.

[0212] Optionally, in one specific implementation, the apparatus further includes:

[0213] The specified time period feature identification determination module is used to determine the content of the monitoring results of any monitoring device within a specified time period based on the monitoring results continuously received from two specified correspondences sent by the monitoring device; wherein, the specified time period is the time range between the times in the two specified correspondences.

[0214] Based on the content of the monitoring results of the monitoring device in the specified time period, the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device belongs is determined; wherein, the feature identifier of the specified time period represents the content of the monitoring results of the monitoring device in the monitoring area in the specified time period;

[0215] The specified time period in the time image corresponding to the area identifier of the monitoring area to which the monitoring device belongs displays the features represented by the feature identifier of the specified time period.

[0216] Optionally, in one specific implementation, the apparatus further includes:

[0217] The time image storage module is used to store time image data corresponding to each region identifier generated within the time range of each specified period, according to a specified period.

[0218] Obtain a target time image output instruction; wherein, the target time image output instruction includes a target region identifier and a target time range;

[0219] Extract the target time image data generated within the target time range corresponding to the target region identifier from the stored time image data;

[0220] Based on the target time image data, display the target time image, or output the target time image data to the display device so that the display device displays the target time image.

[0221] Optionally, in one specific implementation, each monitoring device group further includes an image acquisition device, which includes an infrared image acquisition device and / or a color image acquisition device; the device further includes:

[0222] The first monitoring result judgment module is used to obtain the image acquired by the image acquisition device of the monitored area and the first area identifier of the monitored area where the image acquisition device is located;

[0223] If the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence is abnormal, image detection is performed on the image to obtain a first detection result. Based on the first detection result, it is determined whether the monitoring result in the specified correspondence is correct.

[0224] Optionally, in one specific implementation, the apparatus further includes:

[0225] The second monitoring result judgment module is used to determine whether the monitoring result in the specified correspondence is correct based on the specified monitoring results received within a specified time range when an anomaly is found in the monitoring result representation in any specified correspondence; wherein, the specified time range includes: a first preset time period before the time in the specified correspondence, and / or, a second preset time period after the time in the specified correspondence; the specified monitoring result is: the monitoring result in the specified correspondence sent by the monitoring device that belongs to the same monitoring device group as the monitoring device that sent the specified correspondence.

[0226] Optionally, in one specific implementation, the apparatus further includes:

[0227] The identification correction module is used to determine the correction monitoring result corresponding to the specified correspondence when the monitoring result in the specified correspondence is incorrect, and to correct the feature identifier of the time when the monitoring result was monitored by the specified area identifier corresponding to the device identifier that monitored the monitoring result based on the correction monitoring result.

[0228] Optionally, in one specific implementation, the feature identifier includes a color identifier or a pattern identifier; the time image includes a time axis; and the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

[0229] This invention also provides an electronic device, such as... Figure 7 As shown, it includes a processor 701 and a memory 702, wherein,

[0230] Memory 702 is used to store computer programs;

[0231] When the processor 701 executes the program stored in the memory 702, it implements the steps of any of the monitoring methods provided in the above embodiments of the present invention.

[0232] Optional, such as Figure 8 As shown, the electronic device also includes a communication interface 703 and a communication bus 704, wherein the processor 701, the communication interface 703, and the memory 702 communicate with each other through the communication bus 704.

[0233] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0234] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0235] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0236] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0237] In another embodiment of the present invention, a computer-readable storage medium is also provided, wherein a computer program is stored therein, and when the computer program is executed by a processor, it implements the steps of any of the monitoring methods described above.

[0238] In another embodiment of the present invention, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to perform any of the monitoring methods described above.

[0239] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk (SSD)).

[0240] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0241] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments, device embodiments, electronic device embodiments, computer-readable storage medium embodiments, and computer program product embodiments are basically similar to the method embodiments, and therefore the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0242] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A monitoring method, characterized in that, A data processing device applied to a monitoring system, the system further comprising: at least one monitoring device group, each monitoring device group including multiple monitoring devices located in the same monitoring area, each monitoring device group further comprising an infrared image acquisition device and a color image acquisition device; the method comprising: Obtain the specified correspondence sent by each monitoring device; wherein, the specified correspondence is the correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device when the monitoring result obtained by each monitoring device performs a specified type of monitoring on a specified object in its monitoring area and meets the preset conditions corresponding to the monitoring device. Based on the pre-established correspondence between device identifiers and area identifiers, and each specified correspondence, a feature identifier is determined for at least one area identifier to represent the time when each monitoring result is detected; wherein, any feature identifier represents the content of the monitoring result detected by the monitoring device corresponding to the monitored area at any time when a monitoring result is detected; Display at least one time image corresponding to a region identifier; or, output at least one time image data corresponding to a region identifier to a display device, so that the display device displays at least one time image corresponding to a region identifier; wherein, each time when a monitoring result is detected in any time image displays a feature represented by a feature identifier corresponding to the time corresponding to the region identifier of the time image, and any time image data includes feature identifiers of each time when a monitoring result is detected corresponding to the region identifier of the time image data. Obtain the infrared image acquired by the infrared image acquisition device of the monitored area and the first area identifier of the monitored area where the infrared image acquisition device is located; If the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence is abnormal, image detection is performed on the infrared image to obtain a first detection result. Based on the first detection result, it is determined whether the monitoring result in the specified correspondence is correct. If the monitoring results in the specified correspondence are correct, the target personnel whose abnormality has occurred can be identified through the color image acquired by the color image acquisition device.

2. The method according to claim 1, characterized in that, The method further includes: For any monitoring device, based on the monitoring results continuously received from two specified correspondences sent by the monitoring device, the content of the monitoring results corresponding to the monitoring device in a specified time period is determined; wherein, the specified time period is: the time range between the times in the two specified correspondences; Based on the content of the monitoring results of the monitoring device in the specified time period, the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device belongs is determined; wherein, the feature identifier of the specified time period represents the content of the monitoring results of the monitoring device in the monitoring area in the specified time period; The specified time period in the time image corresponding to the area identifier of the monitoring area to which the monitoring device belongs displays the features represented by the feature identifier of the specified time period.

3. The method according to claim 1, characterized in that, The method further includes: According to a specified period, the time image data corresponding to each region identifier generated within the time range corresponding to each specified period is stored; Obtain a target time image output instruction; wherein, the target time image output instruction includes a target region identifier and a target time range; Extract the target time image data generated within the target time range corresponding to the target region identifier from the stored time image data; Based on the target time image data, display the target time image, or output the target time image data to the display device so that the display device displays the target time image.

4. The method according to claim 1, characterized in that, The method further includes: When the monitoring results in any specified correspondence indicate an anomaly, the correctness of the monitoring results in the specified correspondence is determined based on the specified monitoring results received within a specified time range. The specified time range includes: a first preset time period before the time in the specified correspondence, and / or a second preset time period after the time in the specified correspondence; the specified monitoring result is: the monitoring result in the specified correspondence sent by the monitoring device that belongs to the same monitoring device group as the monitoring device that sent the specified correspondence.

5. The method according to claim 1 or 4, characterized in that, The method further includes: When the monitoring result in the specified correspondence is incorrect, the corrected monitoring result corresponding to the specified correspondence is determined, and based on the corrected monitoring result, the feature identifier of the time when the monitoring result was monitored is corrected to the specified area identifier corresponding to the device identifier that monitored the monitoring result.

6. The method according to claim 1, characterized in that, The feature identifiers include color identifiers or pattern identifiers; the time image includes a time axis; the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

7. A monitoring system, characterized in that, The system includes a data processing device and at least one monitoring device group. Each monitoring device group includes multiple monitoring devices located in the same monitoring area. Each monitoring device group also includes an infrared image acquisition device and a color image acquisition device. Each monitoring device is used to monitor a specified object in its monitoring area of ​​a specified type; when the monitoring result meets the preset conditions corresponding to the monitoring device, it sends a specified correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device to the data processing device; The infrared image acquisition device is used to acquire infrared images of the monitored area and send the infrared images and a first area identifier of the monitored area where the infrared image acquisition device is located to the data processing device. The color image acquisition device is used to acquire a color image of the monitored area and send the color image and a first area identifier of the monitored area where the color image acquisition device is located to the data processing device. The data processing device is used to receive the specified correspondence sent by each monitoring device; and, based on the pre-established correspondence between device identifiers and area identifiers and each specified correspondence, to determine the feature identifier of the time when the monitoring result is detected for each area identifier. Display a time image corresponding to at least one region identifier; Alternatively, at least one time image data corresponding to a region identifier is output to a display device, so that the display device displays the time image corresponding to at least one region identifier; wherein, any feature identifier represents the content of the monitoring result monitored by the monitoring device at any time when the monitoring result is detected in the monitored area, each time when the monitoring result is detected in any time image displays the feature represented by the feature identifier corresponding to that time corresponding to the region identifier of the time image, and any time image data includes the feature identifiers of each time when the monitoring result is detected corresponding to the region identifier of the time image data; receiving the infrared image and the first region identifier sent by the infrared image acquisition device; If the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence indicates an anomaly, image detection is performed on the infrared image to obtain a first detection result. Based on the first detection result, it is determined whether the monitoring result in the specified correspondence is correct. If the monitoring result in the specified correspondence is correct, the target personnel involved in the anomaly are identified through the color image sent by the color image acquisition device.

8. A monitoring device, characterized in that, A data processing device for use in a monitoring system, the system further comprising: at least one monitoring device group, each monitoring device group including multiple monitoring devices located in the same monitoring area, each monitoring device group further including an infrared image acquisition device and a color image acquisition device; the device includes: The relationship acquisition module is used to acquire the specified correspondence sent by each monitoring device; wherein, the specified correspondence is the correspondence between the monitoring result, the time when the monitoring result was detected, and the device identifier of the monitoring device when the monitoring result obtained by each monitoring device performs a specified type of monitoring on a specified object in its monitoring area and meets the preset conditions corresponding to the monitoring device. The feature identification determination module is used to determine the feature identification of each time when the monitoring result is detected for at least one area identifier based on the pre-established correspondence between device identifiers and area identifiers and each specified correspondence; wherein, any feature identification represents the content of the monitoring result detected by the monitoring device corresponding to the monitored area at any time when the monitoring result is detected; A time image display module is used to display a time image corresponding to at least one region identifier, or to output time image data corresponding to at least one region identifier to a display device, so that the display device displays a time image corresponding to at least one region identifier; wherein, each time when a monitoring result is detected in any time image displays a feature represented by a feature identifier corresponding to that time corresponding to the region identifier of the time image, and any time image data includes feature identifiers of each time when a monitoring result is detected corresponding to the region identifier of the time image data; The first monitoring result judgment module is used to acquire the infrared image acquired by the infrared image acquisition device of the monitored area and the first area identifier of the monitored area where the infrared image acquisition device is located; when the area identifier corresponding to the device identifier in any specified correspondence is the same as the first area identifier, and the monitoring result in the specified correspondence indicates an anomaly, image detection is performed on the infrared image to obtain a first detection result, and the monitoring result in the specified correspondence is determined to be correct based on the first detection result; if the monitoring result in the specified correspondence is correct, the target person with the anomaly is determined by the color image acquired by the color image acquisition device.

9. The apparatus according to claim 8, characterized in that, The device further includes: The specified time period feature identification determination module is used to determine the content of the monitoring results of any monitoring device within a specified time period based on the monitoring results continuously received from two specified correspondences sent by the monitoring device; wherein, the specified time period is the time range between the times in the two specified correspondences; Based on the content of the monitoring results of the monitoring device in the specified time period, the feature identifier of the specified time period corresponding to the area identifier of the monitoring area to which the monitoring device belongs is determined; wherein, the feature identifier of the specified time period represents the content of the monitoring results of the monitoring device in the monitoring area in the specified time period; The specified time period in the time image corresponding to the area identifier of the monitored area to which the monitoring device belongs displays the features represented by the feature identifier of the specified time period. And / or, The device further includes: The time image storage module is used to store time image data corresponding to each region identifier generated within the time range of each specified period, according to a specified period. Obtain a target time image output instruction; wherein, the target time image output instruction includes a target region identifier and a target time range; Extract the target time image data generated within the target time range corresponding to the target region identifier from the stored time image data; Based on the target time image data, display the target time image, or output the target time image data to the display device so that the display device displays the target time image; And / or, The device further includes: The second monitoring result judgment module is used to determine whether the monitoring result in the specified correspondence is correct based on the specified monitoring results received within a specified time range when an anomaly is found in the monitoring result representation in any specified correspondence; wherein, the specified time range includes: a first preset time period before the time in the specified correspondence, and / or, a second preset time period after the time in the specified correspondence; the specified monitoring result is: the monitoring result in the specified correspondence sent by the monitoring device that belongs to the same monitoring device group as the monitoring device that sent the specified correspondence; And / or, The device further includes: The identification correction module is used to determine the correction monitoring result corresponding to the specified correspondence when the monitoring result in the specified correspondence is incorrect, and to correct the feature identifier of the time when the monitoring result was monitored based on the correction monitoring result and the specified area identifier corresponding to the device identifier that monitored the monitoring result. And / or, The feature identifiers include color identifiers or pattern identifiers; the time image includes a time axis; the monitoring device includes at least one of a bed sensor, an exit sensor, and a fall sensor.

10. An electronic device, characterized in that, Including processor and memory, among which, Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the steps of the method described in any one of claims 1-6.

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