CN114190925A

CN114190925A - Motion state risk detection system and method

Info

Publication number: CN114190925A
Application number: CN202111396074.8A
Authority: CN
Inventors: 周志雄; 黄小梅; 王刚; 李力; 刘晓然
Original assignee: Beijixing Cloud Space Technology Co ltd; Capital University of Physical Education and Sports
Current assignee: Beijixing Cloud Space Technology Co ltd; Capital University of Physical Education and Sports
Priority date: 2021-11-23
Filing date: 2021-11-23
Publication date: 2022-03-18

Abstract

The invention provides a motion state risk detection system and a motion state risk detection method, and a supervision platform and a wearing device which are communicated with each other. The wearable device is used for continuously detecting the motion state of a user, when the motion state of the user is detected to be abnormal, the wearable device sends a risk prompt to the supervision platform, and when the supervision platform responds to the risk prompt, the wearable device and the supervision platform are in data communication to confirm that the supervision platform manages and control the corresponding abnormal behavior state by means of third-party supervision equipment. According to the invention, through data communication between the wearing device and the supervision platform, the abnormal behavior state of the user wearing the device is effectively managed and controlled by using the third-party supervision equipment, and the risk judgment accuracy and the system automation degree of the system are improved.

Description

Motion state risk detection system and method

Technical Field

The invention relates to the technical field of intelligent wearing, in particular to a motion state risk detection system and a motion state risk detection method.

Background

Chinese patent publication No. CN104080053A provides a human body fall detection positioning system and method based on ZigBee technology, and the system includes: a number of mobile tag nodes: the mobile label node is worn on a terminal user body and used for detecting whether the terminal user falls down or not, and if the falling down is detected, the mobile label node generates positioning information and falling down alarm information and sends the positioning information and the falling down alarm information to the router node; a plurality of router nodes: the mobile label node and the coordinator node are respectively connected and used for sending the received tumble alarm information and the positioning information to the coordinator node; the coordinator node: the remote monitoring system is respectively in communication connection with each router node machine remote monitoring platform and is used for initiating a ZigBee network, setting parameters and sending received tumble alarm information and positioning information to the remote monitoring platform; the remote monitoring platform: the system is used for receiving the falling alarm information and the positioning information and calculating the position of the falling according to the positioning information.

The patent with publication number CN105866805B discloses a mobile endowment health monitoring and early warning system, which is based on Beidou/GPS dual-mode positioning, and the network structure is divided into a health information acquisition layer, a data access processing layer and an intelligent network service layer; the health information acquisition layer comprises a Beidou/GPS dual-mode positioning module, an electrocardio information acquisition module and a motion state information acquisition module, and the three modules acquire original information from a human body by using different sensors; the data access processing layer converts the obtained data types to make the data types consistent with the data types required by the system, connects the three modules to the singlechip by using a Bluetooth and serial port mode, integrates the data by using the singlechip and transmits the data to the server; the intelligent network service layer receives and stores the health data based on the position information acquired by the sensors, performs real-time positioning analysis on various health information through software, and simultaneously adds an early warning function to connect the server with the database so as to meet the requirements of data storage and calling.

The two documents mentioned above are based on acquiring user behavior information and processing data, such behavior is established on a system or device, the detection range is limited, the requirements on storage and broadband are high, certain time delay exists during use, particularly, the behaviors of reminding, being reminded, responding, taking measures, positioning, accurately providing help and the like are all achieved by taking hours as units in the documents, and the documents have basically no practicability for monitoring high-risk motion states such as myocardial infarction, cerebral infarction, temperature loss and trauma. In addition, most of the documents only pay attention to the user and the relationship between the intelligent wearable device and the user behavior, so that other people are reminded to perform assistance tasks by unilaterally depending on the intelligent device; the false alarm rate of the assistance task is high, so that nobody can independently depend on the reminding of the intelligent device to execute the assistance task.

Therefore, it is an urgent need to solve the problem of the art to provide a motion state risk detection system and method capable of accurately determining risk and supporting multi-party assistance.

Disclosure of Invention

In view of this, the present invention provides a motion state risk detection system and method, which effectively utilize a third party monitoring device to manage and control the abnormal behavior state of a user wearing a device through data communication between the wearing device and a monitoring platform.

In order to achieve the purpose, the invention adopts the following technical scheme:

a motion state risk detection system comprising: the monitoring system comprises a monitoring platform and a wearing device which are communicated with each other, wherein the wearing device is used for continuously detecting the motion state of a user, when the motion state of the user is detected to be abnormal, the wearing device sends a risk prompt to the monitoring platform, and when the monitoring platform responds to the risk prompt, the wearing device and the monitoring platform are in behavior state data communication so as to confirm that the monitoring platform manages and controls the corresponding abnormal behavior state by means of monitoring equipment preset in a detection area where the user is located.

In the invention, the data connection is established between the supervision platform and the wearable device for detecting the motion state, so that the supervision platform can be used for judging the motion state and the risk thereof, and personnel with continuously changing motion states need to be managed and controlled by means of existing security facilities.

Preferably, the person himself also wears at least one further wearing device constituting the protective detection device.

Preferably, the wearable device comprises a positioning module and an early warning module, and the early warning module generates a risk prompt based on analysis of the user position information and the time information acquired by the positioning module.

And the early warning module filters the data of the positioning module and extracts available high-precision position and time information. The early warning module generates a risk prompt based on the high-precision position and time information. Compare with the meter level location that GPS or big dipper navigation can reach, the high accuracy position of saying here comes from the indoor positioning system's of user place environment location data that gives, and the indoor positioning system of UWB that also can combine another wearing device of constitution protection detection device at least corrects to reach centimetre level positioning accuracy. The time information given here is not only used to determine the current location, but also to manage the length of stay and the time of entry and exit of a person at a location (e.g., in a warehouse).

Preferably, the supervision platform analyzes the risk prompt and carries out risk classification according to the risk prompt, and the supervision platform responds to the risk classification to carry out management and control of different degrees and modes on the user. According to the embodiment, the supervision platform can detect the state of personnel based on the wearable device and/or the protection detection device, perform corresponding risk grade division, and directly or indirectly manage and control the relevant user by means of the existing security facility of the environment where the user is located under the condition that the risk grade is higher than the risk grade relevant to the environment where the user is located.

Preferably, the early warning module analyzes the posture of the person according to time and elevation information extracted from the data of the positioning module. The positioning module can be a Beidou system, a GPS system or an indoor positioning system. Preferably, the positioning module of the wearable device is positioned based on the indoor positioning system and WiFi or bluetooth only, and the wearable device and the protection detection device communicate directly or indirectly through the user smart device paired therewith, e.g. with the supervision platform, only through the WiFi or bluetooth or the mobile communication network.

Preferably, the early warning module analyzes the resident condition of the personnel according to the time and position information extracted from the data of the positioning module. Here, the position information collected by the positioning module is preferably limited to indoor positioning information. Further localization tracking after the departure of the person is performed by a localization module of the smart device of the user, preferably a localization module different from the wearable apparatus. Preferably, the intelligent device is equipped with a positioning module of the Beidou navigation system and can report the current position of the intelligent device to the supervision platform in a message form. The distinction between indoor positioning and outdoor positioning relies on independent hardware and independent positioning systems, and the communication channels are also independent of each other.

Preferably, when the wearable device sends a risk prompt to the supervision platform when detecting abnormal user motion state data, the supervision platform performs risk classification on the risk prompt in response to the risk prompt of the wearable device, and sends a corresponding grade message to the smart device of the user paired with the wearable device.

Preferably, the wearable device is provided with a gas detection module, and the wearable device simultaneously sends prompts to the user and the supervision platform when the gas detection module detects toxic gas. To reduce the occurrence of false alarm situations, for example, the wearing device sends a prompt message to the supervision platform only if it is determined by means of the integrity detection of the protection detection device that the user is not wearing the relevant protective equipment (e.g., a helmet) correctly, so that the supervision platform performs management using the existing security facilities, such as an acousto-optic approach or other human intervention approach.

Preferably, the wearable device is provided with a health detection module, and the health detection module detects the health parameters of the user in a mode of responding to the management and control of the supervision platform.

Preferably, the health parameters include at least blood pressure, blood oxygen saturation, pulse, body temperature, and brain waves. Particularly in the case of a long-time worker in a refrigeration house, the blood oxygen saturation, the pulse and the body temperature are often different from those in a conventional working environment, and in order to reduce the occurrence of false alarm, in the case that the user is determined to correctly wear the relevant protective equipment (such as wearing the ice cellar clothes but with a low body temperature) by means of integrity detection of the protection detection device, the health detection module responds to the way managed by the supervision platform to detect the health parameters of the user and send a prompt message to the supervision platform, and meanwhile, the health detection module also provides integrity detection information (such as a message of additionally wearing the ice cellar clothes). The supervision platform can utilize the existing security facility to execute secondary verification, such as an optical detection mode or other human intervention modes.

Preferably, the wearable device is provided with a sound and light module, and the sound and light module works based on management and control of the supervision platform and/or risk prompt of the wearable device. The acousto-optic mode of the wearable device is executed for an individual, the acousto-optic and electric reminding mode of the existing security facility is suitable for a large-area multi-user environment, and the acousto-optic and electric reminding mode and the acoustic-optic and electric reminding mode are organically combined to execute management and control in a personalized mode.

Preferably, the wearable device includes a protection detection device, and the management and control of the supervision platform on the corresponding abnormal behavior state includes: the protection detection device sends information to the supervision platform in a detection area through one of mobile communication and indoor wireless communication modes; and the protection detection device sends information to the supervision platform in a detection area in a satellite message communication mode.

Preferably, the monitoring platform controls the corresponding abnormal behavior state, including sending information to a third party, and intervening on the user wearing the wearable device by the third party. The third party comprises a monitoring device preset in the detection area or a medical first-aid command center. The positioning module of wearing the device is different from the positioning determined by the Beidou navigation system of the intelligent equipment based on the positioning obtained by an indoor positioning system and WiFi or Bluetooth, or the integrity of the protection detection device is detected to be obviously abnormal, and then the supervision platform can manage and control and intervene by means of a third party.

The invention also provides a motion state risk detection method, which comprises the following steps:

detecting a user motion state by means of a wearable device, wherein a risk prompt is sent by the wearable device to a monitoring platform when the wearable device detects abnormal user motion state data;

responding to the risk prompt of the wearable device by the supervision platform, carrying out risk grade division on the risk prompt, and sending a corresponding grade message to the intelligent equipment paired with the wearable device of the user;

and sending the abnormal user behavior data of the appointed risk level to the supervision platform by the intelligent equipment matched with the wearable device, and managing and controlling the corresponding abnormal motion state by the supervision platform by means of the supervision equipment preset in the detection area where the user is located.

Through the technical scheme, compared with the prior art, the invention has the beneficial effects that:

the invention adopts the technical scheme that the wearing device, the supervision platform, the intelligent equipment and the existing security facility are communicated in multiple ways, the actions of reminding, being reminded, responding, taking measures, positioning, accurately providing help and the like are completed most efficiently, and the operations are mutually backed up and supervised to each other to form a personnel management system without privacy disclosure.

The invention utilizes the protection detection device and combines the Beidou navigation system, the Bluetooth and the NFC chip which are commonly configured in the existing intelligent terminal, achieves high-risk behavior management and control with low cost and high reliability, and can effectively reduce the supervision cost while ensuring the statistical accuracy. The problem of unilateral rely on intelligent equipment to remind other personnel to carry out the assistance task and lead to assisting the task misstatement rate high is solved, rely on intelligent equipment's warning and regional supervision equipment of presetting to carry out the rescue task, it is more accurate high-efficient.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts;

FIG. 1 is a schematic diagram of a kinematic state risk detection system according to a preferred embodiment of the present invention;

FIG. 2 is a schematic view of a protection detection device for detecting a whole body wearing condition according to a preferred embodiment of the present invention;

FIG. 3 is a first schematic view of a connection relationship of simplified modules of a detecting unit of a wearing device according to a preferred embodiment of the present invention;

FIG. 4 is a schematic view of a simplified connection relationship between the detection units and the modules of the wearable device according to another preferred embodiment of the present invention;

fig. 5 is a schematic diagram of a field layout of a motion state risk detection system according to a preferred embodiment of the present invention.

In the figure:

100: a detection system; 110: a wearable device; 111: a head module; 112: a neck module; 113: a first wrist module; 114: a second wrist module; 115: an abdominal module; 116: a first lower limb module; 117: a second lower limb module; 118: a first foot module; 119: a second foot module; 120: a supervisory platform; 131: a positioning module; 132: an early warning module; 133: a gas detection module; 134: a health detection module; 135: an acousto-optic module; 136: and a communication module.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The following detailed description is made with reference to fig. 1 to 4.

In the present invention, the monitoring platform 120 located at the cloud and the plurality of wearable devices 110 located at the user end may interact to implement risk control. Risk management and control not only can rely on user's smart machine and the wearing equipment of paring with it, but also can rely on existing security facilities etc. in user's place environment. In particular, the wearable devices can be divided into conventional wearable devices, such as in the form of a bracelet or smart terminal, and special wearable devices, such as integrated in protective gear, wherein the communication function of the special wearable device can be achieved by means of existing communication systems, such as interacting with the conventional wearable devices or by means of mobile communication, in order for the special wearable device to perform information transmission, such as reminder messages, and other interactive operations, such as in response to instructions of the supervision platform relating to first aid. The communication is achieved not only by means of traditional WiFi and mobile communication networks, but also by means of a Beidou communication system with a message function.

Examples

The motion state risk detection system of the preferred embodiment provided by the invention is applied to sports parks (such as Olympic parks) and large-scale gymnasiums to monitor the motion risk of the people doing exercise and fitness and give an alarm in time according to the situation of dangerous events. Fig. 1 is a schematic view thereof. As shown in fig. 1, the present invention provides a motion state risk detection system 100, applied to the process of motion risk identification, emergency alarm and first aid of a sports park, comprising: a regulatory platform 120 and a number of wearable devices 110. The monitoring platform 120 in the prior art may be an intelligent monitoring platform such as a cloud server, or may be a video monitoring system operated by a central control room. The invention is not limited to the above, but includes various remote servers and cloud servers, and also includes a video monitoring system.

A number of wearable devices 110 are in data connection with the administration platform 120. The wearable device 110 can continuously monitor the motion state of the wearing user, and when the motion state of the user is detected to be dangerous, the wearable device 110 automatically confirms to send a risk prompt to the supervision platform 120 without the user's consent. While in the prior art there are already established solutions for fall protection by means of wearing devices, in the present invention the purpose of supervision is achieved by means of at least one further wearing device which is additionally integrated into a special protective device which the special working person has to wear when entering the work site. The regulatory conditions include, for example: working time conditions, wearing accuracy, temperature conditions, humidity conditions, and physiological conditions of the person.

The wearable device may be embodied as BLE (Bluetooth Low Energy), UWB (Ultra Wide Band) and/or NFC (Near Field Communication) enabled components, e.g. in the form of AirTag. At least one other wearable device can communicate with a portable terminal such as a smart phone and can also communicate and interact with a smart bracelet that a user already wears.

The wearable device 110 and at least another wearable device can be networked through a smart device or a portable terminal to achieve a data interaction capability.

In the embodiment, a body builder registers and enters at the gate of a sports park through a face recognition system or a WeChat code scanning mode and the like, the body builder sends a cardiac arrest event in the movement process, a wearable device of the body builder collects and intelligently recognizes the abnormity of human physiological sign indexes such as heart rate, blood oxygen and blood pressure in real time, the wearable device timely transmits the body-building dangerous event to an emergency command center of the sports park through a wireless network, the park emergency command center comprehensively judges the body-building physiological sign index information, the position information and the like transmitted by equipment, the park emergency command center commands park emergency personnel to quickly go to dangerous event places of the body builder, and the park emergency command center simultaneously reports the body-building dangerous event to a 120 emergency command center. The dangerous events of the body builder occur in the area without the wireless network, and the wearable device of the body builder sends the physiological signs and the geographic position information to the park emergency command center and the 120 emergency command center in a short message mode.

Fig. 2 shows another preferred embodiment of the invention, which can be used, for example, for managing store workers, such as freezer workers. Along with the development of warehousing technology, the interactive relation exists among warehouse management personnel, the transported products, the storage shelves and the intelligent transporting equipment, the risks of damage to warehouse entry and exit equipment, damage to goods and injuries to warehouse management personnel are not reduced along with the wide use of the intelligent warehouse, therefore, the motion state of the personnel in the warehouse needs to be managed and controlled, and a brand-new risk detection method needs to be provided under the scene of the intelligent warehouse. In addition, security facilities such as an access control system (including a personnel access and stay time length control system), a monitoring and central control linked reminding device, an alarm bell linked with an police party, a fire-fighting linked spraying device and the like are originally arranged in the warehouse.

Fig. 5 is a schematic diagram of a field layout of a motion state risk detection system according to a preferred embodiment of the present invention. Because the position of a person cannot be determined by means of a satellite positioning mode such as a GPS (global positioning system) under the working condition of the refrigeration house, the position of the person can be judged by means of wearing equipment such as an AirTag form, which is worn on a user. The other wearable device is used for monitoring whether special operating personnel (such as a refrigerator, an electrician, an electric welder, a forklift worker, an elevator worker and the like) in the cold chain logistics wear the special protection device according to the regulations; for this reason, the further wearable device is also referred to as a guard detection means in the present invention. Different user types have different protection levels, and then different protection detection devices are worn according to regulations. Of course, the other wearable device can also have an indoor positioning function or can be detected by the device in the place where the user is located so as to be indirectly positioned. Fig. 5 is a schematic diagram of an indoor positioning device arrangement based on UWB positioning technology.

Fig. 2 shows various types of protection detection devices that may be paired or bound by a smart device worn by a user in a conventional manner. Specifically, the smart device worn by the user provides a guard wearing message regarding the guard detection apparatus being worn in place to the administration platform 120 managing the corresponding warehouse over a conventional communication line such as WiFi or a mobile communication network in response to the pairing with the guard detection apparatus. The administration platform 120, having registered and authenticated the smart device, also receives the guard wearing message over the same conventional communication line and verifies the guard wearing message by the administration platform 120 establishing a data link with the managed warehouse. The verification of the protective wearing message includes: the administration platform 120, which establishes a data link with the managed repository and has registered and authenticated the smart device, performs integrity detection depending on the user type, wherein the integrity detection is performed by the administration platform 120 according to the physical conditions of the managed repository being managed and with reference to the user type. "performing integrity detection" includes determining, by the administration platform, a corresponding integrity detection condition based on the corresponding user type.

In a specific embodiment, a supervision platform requests a protection wearing message corresponding to the user type of a specific user from the user in response to the registration of the intelligent device of the user, and the supervision platform provides an approval message of the corresponding user for warehousing to the existing security facility in response to the receipt of the protection wearing message and instructs the existing security facility to accumulate the total warehousing duration of each user. Here, the registration of the smart device with the supervision platform is accomplished through a conventional communication line such as WiFi or a mobile communication network, and the messages, instructions and commands issued by the supervision platform to the smart device and the existing security facilities are also accomplished through a conventional communication line such as WiFi or a mobile communication network. Particularly preferably, the smart device is also capable of sending messages relating to the person carrying the smart device and the protection detection apparatus worn by the person, the paired wearable device, to the supervision platform via another communication link (in particular via the beidou navigation system), for example in the form of RDSS short messages, in particular Regional Short Messages (RSMC) and Global Short Messages (GSMC).

According to a preferred mode, the supervision platform requests the protection wearing message to each user respectively in response to the registration of the intelligent equipment of each user, provides an approval message of corresponding user warehousing permission to the existing security facility in response to the receipt of the protection wearing message, and instructs the existing security facility to accumulate the total warehousing duration of each user. When the total warehousing duration of the corresponding user exceeds the preset threshold value of the supervision platform, the supervision platform triggers the existing security facilities in the warehouse to perform corresponding management and control.

According to a preferred mode, the 'total time length of the corresponding user entering the warehouse' is subjected to secondary verification in the following mode: when a supervision platform responds to the registration of intelligent equipment of a user and requests a protection wearing message for the user, the supervision platform also requests the intelligent equipment to send a message related to the position and time of the personnel to the supervision platform in an RDSS short message form, and when the supervision platform responds to the receipt of the protection wearing message and provides an approval message for granting storage to a corresponding user for an existing security facility, the supervision platform automatically starts the accumulation of the storage time of the user; when a user takes off the protection detection device and causes the intelligent equipment to be unbound (or to be disconnected and paired) with the protection detection device, the intelligent equipment carried by the user sends a protection detection device unbinding message to the supervision platform, and the supervision platform responds to the receipt of the protection detection device unbinding message to finish the statistics of the total time length of the user entering the warehouse and provide a report of the total time length of the user entering the warehouse for the corresponding user or the manager thereof. Only when the high-precision positioning data of indoor positioning is not matched with the low-precision positioning data of satellite positioning, the supervision platform informs the existing security facility in the storehouse to perform corresponding management and control; the management and control method utilizes high-precision positioning information given by the wearable device to determine high-risk personnel in a small range, and does not provide a third party with excessive unnecessary information (such as identity, name, age and the like) related to storehouses and personnel. Through the above implementation mode, the supervision platform, the intelligent equipment and the existing security facility utilize the user to wear and take off the protection detection device to complete three important works of entrance guard admission, duration statistics and protection integrity check most efficiently and with privacy protection, and the above operations are mutually backed up and supervise each other to form a personnel management system without privacy disclosure.

This embodiment of the invention takes advantage of the fact that: when the user requests the protection wearing message, the user does not enter the storehouse, and the intelligent equipment can establish a communication link with the GPS or the Beidou satellite. The reason why navigation satellites are not used to determine the entrance and exit of a user to and from the warehouse, but are used only for verification, is that the reliability and accuracy are not enough to give 99% of users and statistical data within one hour, and the one-hour stay of the refrigerator may mean the examination of lives and deaths.

In a specific embodiment, the "statistics of total time of warehousing by the user" is ended when the intelligent device sends the information related to the position and time of the person to the supervision platform in the form of an RDSS short message in response to the receipt of the unbinding information of the protection detection device. Compared to mobile communication, RDSS short messages generate a relatively high outlay which cannot be ignored, so that performing only a twice-a-day notification for each person by means of RDSS short messages alone is a cost-optimized solution. Furthermore, because of the relative instability of the RDSS short message, the supervision platform is stable and reliable according to the way of timing by the penetration and the detachment of the protection detection device. In addition, the correlation between the receipt of the protective wearing message and the granting and warehousing of the corresponding user approved by the security facility meets the basic requirement of warehouse management, and the timing function is realized, so that the timing function is used for the high-risk behavior management of personnel. The staying of people in the storeroom not only has tragedy of freezing death and frostbite of the refrigeratory, but also has suspicion of stealing property. Compared with the traditional image identification (too complex), RFID personnel management and control (low reliability) and IC card reading and writing (high requirement on personnel compliance) of the existing solutions, the method utilizes the general warehouse management requirement that a protection detection device must be taken and worn in the warehouse, integrates the diversity of the worn protection detection device, combines the Beidou navigation system and the Bluetooth and NFC chip which are commonly configured in the existing intelligent terminal, and achieves management and control of high-risk behaviors such as warehouse personnel retention with low cost and high reliability.

According to the prior art, when personnel management and control are executed only by means of timing and positioning, cheating behaviors cannot be judged, GPS positioning information and time information can be forged, and certain personnel can be separated from management and control. According to the invention, various mobile communication devices in the storeroom can not normally send short messages to the Beidou navigation system, but can communicate through a mobile communication network or WiFi, the supervision platform not only utilizes mutually independent communication links to execute the receiving and sending and checking of check information (such as the total warehousing duration of corresponding users) of different levels, but also can distinguish users forging position information according to the Beidou messages which cannot be sent in the storeroom, and relevant messages can be received only when relevant personnel and/or equipment leave the storeroom, so that the warehouse duration and the receiving and sending of the relevant messages form another independent strong causal relationship, and the advantage that the Beidou system can log in online in a short time is fully utilized. The invention can combine two different communication links to carry out secondary verification on the same type of user information, and has the premise that the existing equipment facilities and communication facilities for warehouse management are in place, and the invention can obtain higher-level safety management level without carrying out large amount of transformation on equipment in a warehouse.

In a specific embodiment, the present invention gives different type divisions for different users, for example:

in the case of the first user type (for example, a user of a distributed refrigeration storage requiring simultaneous high-frequency access by multiple people), the "statistics of the total time of the user entering the storage" is completed by summarizing the collective data of all the workers on the same day by the monitoring platform. And if and only if the total time of warehousing of the users of all the working personnel on the same day exceeds the product of the number of the personnel and the preset threshold value of the supervision platform, the supervision platform triggers the existing security facilities in the warehouse to carry out corresponding management and control. Preferably, for the case of a 24-hour shift work for a distributed cold storage, the foregoing working manner of the present invention may be limited to the statistics of the length of time of the operator for a given shift. Only when the total duration exceeds the preset threshold value of the supervision platform, the requirement that the existing security facility in the warehouse needs to be triggered to conduct management and control can be met, and the life danger caused by the fact that personnel stay in the warehouse, particularly a refrigeration house all night can not happen. Thereby achieving perfect unity between regulatory high cost and accuracy of staff statistics.

In the case of a second user type (e.g., a user of a retail freezer where a particular person enters and exits the freezer at a short time and high frequency), "guard wear messages" are requested from a particular user by a supervisory platform in response to registration of the smart device of the particular user, the supervisory platform providing an approval message to an existing security facility that the respective particular user grants into storage in response to receipt of the guard wear message. The statistics of the total time of the user entering the warehouse is completed by the monitoring platform recording the time taken by a specific operator to enter and exit the warehouse once. And if and only if the time spent by a specific user in and out of the storehouse once exceeds a preset threshold value of the supervision platform, triggering the existing security facilities in the storehouse by the supervision platform so as to perform corresponding management and control. Preferably, in the case of a retail freezer that is operated intensively for a short time, the aforementioned operation mode of the present invention may be limited to operator time length statistics for a specific operation time period. Only when the time spent by a specific user for getting in and out of the warehouse once exceeds the preset threshold value of the monitoring platform, the requirement that the existing security facility in the warehouse needs to be triggered to conduct management and control can be met, and the situation that the temperature of the refrigeration house and the external temperature are neutralized and the actual use effect of the refrigeration house is reduced due to the fact that a specific person is detained in the warehouse, particularly the refrigeration house for a long time and a door of the refrigeration house is opened for a long time can be avoided. Therefore, perfect unification among high supervision cost, personnel counting accuracy and high refrigeration house operation cost is achieved.

In the case of a third user type (e.g., a user in a transit freezer where there is a large number of transportation devices), the "corresponding user provides an approval message to grant entry" is provided by the supervisory platform to the existing security facility in response to the protective wear message and evaluating the number of persons already in the freezer. The supervision platform will also request the smart device to send a message related to the person's location and time to the supervision platform in the form of a beidou message. When the number of the existing personnel in the refrigeration house exceeds the preset personnel number threshold value of the monitoring platform, the monitoring platform triggers the existing security facilities in the refrigeration house to perform corresponding management and control. When personnel in the cold storage enter the cargo transfer passage of the running transportation equipment, the supervision platform triggers the existing security facilities in the cold storage to perform corresponding management and control. The supervision platform can confirm that relevant transportation equipment has left the scene according to the short message of the RDSS that transportation equipment (for example be furnished with beidou navigation system's fork truck) provided, avoids unmanned aerial vehicle, diesel vehicle or electric drive fork truck from being because of detaining the risk that the unable cold start of freezer from this. Especially, in the occasion that the unmanned aerial vehicle commonly used in the warehouse needs to be positioned by using the GPS or the Beidou when entering and exiting the warehouse, the supervision platform can manage the unmanned aerial vehicle, the forklift and other equipment as special users, so that the 'statistics of the total time of the user entering the warehouse' is ended when the unmanned aerial vehicle responds to leaving the warehouse and sends the information related to the position and the time of the unmanned aerial vehicle to the supervision platform in an RDSS short message form. In addition, through aforementioned management and control mode, can effectively avoid producing the personnel gathering because of a large amount of personnel get into in the transportation nature freezer and lead to goods in the freezer to transport obstructed to can effectively avoid leading to the incident that the staff is died by the transportation equipment and bruises because of personnel get into the goods transfer passage of transportation equipment. Therefore, perfect balance among supervision cost, transportation efficiency and operation safety is achieved.

In the case of a fourth user type (for example, a user in a production refrigeration house requiring long-time work), the statistics of the total warehousing time length of the user is that when the supervision platform provides an approval message for granting warehousing to a corresponding user to the existing security facility in response to the receipt of the protective wearing message, the supervision platform automatically starts the accumulation of the warehousing time length of the user; when a user takes off the protection detection device and causes the intelligent equipment to be unbound (or to be disconnected and paired) with the protection detection device, the intelligent equipment carried by the user sends a protection detection device unbinding message to the supervision platform, and the supervision platform responds to the receipt of the protection detection device unbinding message to finish the statistics of the total time length of the user entering the warehouse and provide a report of the total time length of the user entering the warehouse for the corresponding user or the manager thereof. Preferably, for the case of high flow of people in a production cold storage at a specific time, the intelligent device is used for responding to the receiving of the unbinding message of the protection detection device and sending a message related to the position and time of the person to the supervision platform in an RDSS short message mode so as to finish the statistics of the total time of the user entering the cold storage. The supervision cost can be effectively reduced while the statistical accuracy is ensured.

In the case of a fifth user type (for example, users in a comprehensive refrigeration storage with the existence of multiple types of special workers), the supervision platform respectively responds to the registration of the intelligent equipment of each special worker and requests the corresponding special protection wearing message from each special worker. Aiming at the condition that special workers have professional special risks, after the supervision platform provides an approval message which is granted to a warehouse for a corresponding user to the existing security facility in response to the receipt of the protective wearing message, the existing security facility performs specific management and control on the specific special workers. Therefore, the control object is perfectly matched with the control means, and the balance between the control cost and the control efficiency is optimal.

As can be seen from the above description of the present invention, the present invention can uniformly process personnel and hardware devices into a certain user, and manage in combination with dual-link information.

Specifically, the protection detection device for detecting the whole-body wearing condition may include a head module 111 integrated in the helmet, a neck module 112 integrated in the neck guard, a first wrist module 113 integrated in the cuff of the cold protective clothing, a second wrist module 114 integrated in the other cuff of the cold protective clothing, an abdomen module 115 integrated in the central region of the front side of the cold protective clothing, a first lower limb module 116 integrated in one leg of the cold protective trousers, a second lower limb module 117 integrated in the other leg of the cold protective trousers, a first foot module 118 integrated in the cold protective shoe, and a second foot module 119 integrated in the other cold protective shoe, wherein each module is capable of communicating with the portable mobile device through the existing communication protocol or the wearable device 110, and further capable of directly or indirectly providing corresponding data to the supervision platform 120.

For example, as warehousing technology develops, more and more types of warehouses, such as cold stores, are being built. The special protection device is worn before entering a specific place, and the special wearing device capable of executing a specific task can be integrated in the special protection device. For example, there are special workers in cold chain logistics, such as refrigerators, electricians, electric welders, forklift trucks, and elevators, who often need to wear special protection devices adapted to their respective work contents when entering a work site.

For example, the temperature range of a refrigerator is usually between 15 ℃ and-60 ℃, and the bottom surface of the refrigerator is very easy to become wet and slippery due to liquid loading or icing. The accidents that workers fall down and are injured due to the fact that the ground of the refrigeration house is wet and slippery and people are trapped in the refrigeration house due to the fact that the refrigeration house is accidentally closed, and the workers are frozen to be frozen and killed have also happened. Therefore, the risk detection is required to be carried out on the movement behaviors of the workers in the refrigeration house so as to ensure the personal safety of the workers. A key prerequisite for personnel safety is that the protective equipment is worn correctly before a specific work is performed. Although image-based inspection of wearing conditions of persons is currently performed by means such as image recognition, for example, in the case of a refrigerator, there are tasks of working for a long time (e.g., 4 to 8 hours) and working for a short time (e.g., 0.5 to 2 hours), or specific temperature conditions of low-temperature, ultralow-temperature or extremely low-temperature, and epidemic prevention requirements exist in transportation occasions of aquatic products, and therefore, wearing inspection of special workers of various kinds becomes very complicated. Relying solely on image recognition (even with artificial intelligence), it is difficult to achieve satisfactory seamless management requirements.

The helmet-integrated head module 111 is used not only for head warming but also for determining the head posture of the user to determine the current user's visual direction.

The neck module 112 integrated in the neck guard not only serves to achieve neck warming in a manner connecting the helmet and the cold protective clothing, but also performs neck pulse detection by means of a flexible attachable sensor.

The first and second

lower limb modules

116, 117 integrated in the cold-proof trousers and the first and

second wrist modules

113, 114 integrated in the cuffs of the cold-proof suit are located at different positions from each other and undertake data verification tasks for temperature conditions, humidity conditions and physiological conditions of the person, including at least data related to the movement of the person. The temperature sensor close to the human body under the low temperature condition in the refrigeration house has larger error due to frosting, and the error generated by frosting of the temperature sensor is calibrated through mutual communication between the first lower limb module 116 and the second lower limb module 117 integrated on the cold-proof trousers and the first wrist module 113 and the second wrist module 114 integrated on the cuffs of the cold-proof clothes. Further, the lower limb and wrist module can detect data relating to the movement of the person, particularly hand and lower limb movement data, by arranging an acceleration sensor. Preferably, the first wrist module 113 and the second wrist module 114 are capable of detecting left and right hand pulses of the user by means of attached sensors. Preferably, the first lower limb module 116 and the second lower limb module 117 can detect the femoral artery pulse of the user by attaching sensors.

The abdomen module 115 integrated to the body of the cold protective clothing is used to judge the temperature and humidity inside the clothing, and the abdomen module 115 can detect the position data of the user in real time, and the abdomen module 115 can directly or indirectly provide the position data of the user to the supervision platform 120.

The first foot module 118 and the second foot module 119 integrated in the cold-proof shoe are used for judging the temperature and humidity in the cold-proof shoe, and the first foot module 118 and the second foot module 119 can detect the stress state of the user through the pressure sensor.

For a productive refrigeration house which needs to work for a long time, such as 4 to 8 hours, the supervision platform 120 subscribes the state information of the protection detection device for detecting the wearing condition of the whole body, so as to prevent a worker from carelessly wearing light and thin cold protective clothing with poorer warm-keeping effect or unmatched cold protective clothing for convenient movement. Integrity Testing (Integrity Testing) can be judged by means of an online test (such as a Ping-Pong test) executed by a smart device (such as a smart phone or a tablet computer) required to be worn during working, and the Integrity of the protection device can be confirmed by combining the online state confirmed by the supervision platform 120 in response to the data uploading of each corresponding module.

In the case of confirming the matching relationship of the protection detection device with a specific worker through integrity detection, the working intelligent device determines the current visual direction of the worker by combining the orientation of the head module 111, and determines the rationality of the current visual direction and the movement direction based on the relationship between the current visual direction and the movement direction of the first wrist module 113 and the second wrist module 114; thereby determining a continuous integrity protection check among the protection integrity checks. In the case where the relationship between the current viewing direction and the movement direction of the first and

second wrist modules

113 and 114 indicates that the ranges of movement of the worker (presumably unreasonably) are in opposite directions to each other for a predetermined time period, the work smart device reads the movement data of the first and second

lower limb modules

116 and 117 to determine the relationship between the arm movement direction and the lower limb movement direction. When there are at least three conditions different from the current visual direction in the arm movement direction and the lower limb movement direction, the working intelligent device sends an integrity detection reminding message to the supervision platform 120. In response to the integrity detection reminding message, the monitoring platform 120 can confirm the integrity of the protection detection device according to the online status confirmed by the data uploading and analysis of the corresponding detection modules, so as to confirm the integrity of the protection device in an indirect manner, and can also achieve specific image acquisition for specific personnel by adjusting the monitoring direction of video monitoring, so as to confirm the integrity of the protection device. At this point, the abdominal module 115, for example integrated in the body of the cold protective clothing, gives an unreasonable temperature, which means that the integrity of the protective detection means is critically impaired.

For the distributivity refrigeration house requiring a plurality of people to come in and go out at high frequency at the same time, the worker can confirm the integrity of the protective device through integrity detection, and the situation that each part of the protective device is not matched due to a large number of sudden receiving and sending protective devices is avoided. Particularly, during a new crown epidemic situation, cold chain workers belong to high-risk people, the protection device matched with a specific worker forbids mixed use and crossing, the cold storage worker executes online test by means of intelligent equipment (such as a smart phone or a tablet personal computer) required to be worn during working or confirms the integrity of the protection device by combining the online state confirmed by the supervision platform 120 in response to data uploading of corresponding modules, and the problem that the protection device which is not disinfected is mixed use can be effectively avoided.

For the retail refrigeration storage requiring a specific person to enter and exit the refrigeration storage in a short time and high frequency manner, the supervision platform 120 can avoid the worker from wearing protective clothing intentionally and not as required for saving the time of wearing the cold protective clothing by subscribing the state information of the protective detection device for detecting the wearing condition of the whole body.

Under the condition that the integrity detection confirms that the protection detection device is matched with a specific worker, the intelligent equipment for work detects and analyzes the body temperature of the worker by combining a module provided with a temperature sensor in the protection detection device, so that the phenomenon that a user frequently enters and exits a cold and hot environment due to high frequency entering and exiting of a refrigeration house to cause body abnormity such as cold and the like is avoided.

For a transit refrigerator with a large amount of transportation equipment, the supervision platform 120 subscribes the state information of the operation detection device for detecting the equipment condition, so as to avoid adverse events such as transportation equipment anchoring and vehicle collision caused by failure of the transportation equipment which is not found in time. The operation detection device can be self-checked by means of sensors on the individual components of the transport device in order to ensure the functional safety and integrity of the transport device. The administration platform 120 analyzes the movement trend of the user by subscribing to the user location data information detected by the abdomen module 115 in real time. The movement tendency of the user includes a moving direction and a moving speed.

In the case where the monitoring platform 120 simultaneously subscribes to the status information of the operation detection means for detecting the status of the equipment and the user location data information detected in real time by the belly module 115, the monitoring platform 120 derives the movement tendency of the user by analyzing the user location data detected in real time by the belly module 115, and analyzes the functional safety and integrity of the transportation equipment and the movement tendency of the transportation equipment by the status information of the operation detection means. Under the condition of analyzing the user motion trend in the refrigeration house and the motion trend of the transportation equipment in the refrigeration house, the supervision platform 120 can perform risk early warning on the user and the transportation equipment. Preferably, the risk pre-warning of the user and the transportation device by the supervision platform 120 may be a collision pre-warning that a collision accident may occur due to the intersection of the user travel route and the transportation device route. Based on the head module 111 determining the current direction of view of the worker through self-orientation and the abdomen module 115 detecting the user position data in real time, the supervision platform 120 can judge whether the user notices the transportation device approaching from the side rear or not by monitoring the orientation of the head module 111 under the condition that the movement trend of the user is analyzed. In the case that the monitoring platform 120 performs risk early warning, the monitoring platform 120 sends an early warning reminder to the user by communicating with, for example, a smart band that the user has worn.

For the comprehensive refrigeration house with various types of special operators, the special operators often need to wear special protection devices suitable for respective work contents when entering a work site, and the special protection devices for the special operators are often heavier than the protection devices for the common operators, need more time for wearing and are poorer in comfort, so that the special operators can conveniently and often and deliberately select the protection devices for wearing the common operators without wearing the special protection devices suitable for the work contents of the operators.

The supervision platform 120 subscribes the state information of the operation detection device for detecting the equipment condition, so as to prevent a special worker from wearing a protection device suitable for the work content of the worker, but wearing a protection device of a common worker for convenience. The special worker can enter the refrigeration storage only after the integrity of the protection device in the online state is confirmed through the monitoring platform 120 in response to the data uploading of the corresponding modules. The intelligent working equipment determines the stress state of the worker by combining the stress conditions of the first foot module 118 and the second foot module 119, and determines the reasonability of the current stress state and the motion state based on the relationship between the current stress state and the motion states of the first wrist module 113, the second wrist module 114, the first lower limb module 116 and the second lower limb module 117; the intelligent equipment for work can be used for detecting the movement risk of the special worker in the working process. Furthermore, a corresponding reading device is provided in the cold store, for example in the access position, which is capable of data interaction with the monitoring platform 120. The freezer reading device determines and records the entry and exit of personnel into and out of the freezer by means of communication with the wearable device 110.

Fig. 3 is a schematic view of a simplified module connection relationship of a wearing apparatus according to a preferred embodiment of the present invention. Preferably, the wearable device 110 is provided with a positioning module 131, an early warning module 132, and a communication module 136. The early warning module 132 filters the data of the positioning module 131 to extract available high-precision position and time information. Preferably, the positioning module 131 may be an indoor positioning sensor or an outdoor positioning sensor such as beidou. The early warning module 132 generates a risk prompt based on the analysis of the high precision location and time information and transmits the generated risk prompt to the supervisory platform 120 through the communication module 136.

In a specific embodiment, the early warning module 132 of the wearable device 110 can analyze the data of the positioning module 131 to determine whether the motion state of the user is dangerous. Preferably, the positioning data of the positioning module 131 may include position and time information. The early warning module 132 can analyze the falling condition of the person according to the time and elevation information of the positioning data. Preferably, the user is presented with at least a first gesture and a second gesture different from the first gesture. When the user is in the first posture, the positioning data of the positioning module 131 at least includes a first time, a first altitude, and a first longitude and latitude. When the user is in the second posture, the positioning data of the positioning module 131 at least includes the second time, the second height, and the second longitude and latitude. When the user falls down, the early warning module 132 judges whether the user falls down according to the time and longitude change when the user is switched from the first height of the first posture to the second height of the second posture. The time for the user to switch the posture is the time interval between the first time and the second time. The longitude and latitude of the user for posture switching is changed into the difference between the first longitude and latitude and the second longitude and latitude.

The fall is usually sudden, i.e. the time for the personnel to fall from the normal posture is very short, especially the fall caused by the wet and slippery bottom surface of the staff in the cold storage. Preferably, the first posture is a posture when the user stands. Preferably, the second posture is a posture after the user falls.

When the early warning module 132 detects that the first height in the positioning data of the positioning module 131 is suddenly changed to the second height, and the time interval between the first time and the second time is very short, in addition, when there is a significant difference between the first longitude and the second longitude and latitude, the early warning module 132 determines that the user falls down. The judgment method introduces latitude and longitude change reference while judging the height change of the user, and avoids misjudgment of the falling condition caused by the operations of squatting and rising of the user and the like.

In one embodiment, in order to more accurately determine the motion state of the person, the early warning module 132 detects the position information in the positioning data of the positioning module 131 to determine the motion state of the user, such as staying, walking, running, etc. When the person is in the resident state, the altitude data and the latitude and longitude data in the positioning data of the positioning module 131 do not change with the passage of time. When the person is in a walking state, the altitude data and the latitude and longitude data in the positioning data of the positioning module 131 change steadily with the passage of time. When the person is in a running state, the altitude data and the latitude and longitude data in the positioning data of the positioning module 131 will change rapidly with time, but the general trend is stable.

In order to accurately judge the exercise risk of the user, especially the risk of falling, the intelligent wearable device 110 of the present invention introduces the health detection module 134 to detect the health parameters of the user. When a user accidentally falls, the falling person is frightened by the sudden fall, and stress reactions such as abrupt heartbeat acceleration, tight muscles, rapid rise of blood pressure, abnormal excitation of brain waves, and the like occur. The health parameters that the health detection module 134 can detect include at least one of blood pressure, blood oxygen saturation, pulse, body temperature, and brain waves. Preferably, the health detection module 134 may detect blood pressure, pulse, and brain waves of the user.

In a specific embodiment, when the early warning module 132 detects that the first height in the positioning data of the positioning module 131 is suddenly changed to the second height, the time interval between the first time and the second time is very short, and the first longitude and the second latitude are significantly different, the health detection module 134 synchronously detects whether the user has stress reactions such as sudden heartbeat acceleration, tight muscles, rapid rise of blood pressure, and abnormal excitation of brain waves, and sends the detection result to the early warning module 132. The early warning module 132 comprehensively analyzes the positioning data and the health status of the user, judges the motion status of the person, and performs motion risk early warning.

After determining that the user has fallen, the early warning module 132 generates a risk prompt and sends the generated risk prompt to the monitoring platform 120 through the communication module 136. The administration platform 120 determines whether to respond to the risk alert based on its own condition and the received risk alert condition. When the monitoring platform 120 responds to the risk prompt, the intelligent wearable device 110 and the monitoring platform 120 perform data communication, the intelligent wearable device 110 transmits the detected data to the monitoring platform 120, and the monitoring platform 120 manages and controls the corresponding abnormal behavior state.

In a specific embodiment, the data transmission mode of the monitoring platform 120 and the smart wearable device 110 may be data transmission through a wireless communication network such as a WiFi network or a ZigBee network or a wired communication network. With such a configuration, behavior monitoring of different users can be performed by the smart wearable device 110 first. When the intelligent wearable device 110 detects abnormal data, the abnormal data can be sent to the supervision platform 120 for key monitoring, so that the intelligent wearable device 110 can transmit important data information to the supervision platform 120, and the supervision platform 120 can monitor and process user behavior information in all areas under low-configuration conditions through overall planning and management of the intelligent wearable device 110. And the centralized management is convenient. For example, the monitoring platform 120 may be a monitoring management platform of a refrigerator, and the smart wearable device 110 may be a cold protective clothing configured with corresponding detection equipment. Because the user must be just can get into the freezer after wearing the insulated cold wear, consequently wearing device 110 as intelligence behind the corresponding equipment with the insulated cold wear configuration, can ensure that every personnel that get into the freezer can all wear intelligent wearing device 110. The supervision platform 120 is in signal connection with the smart wearable device 110 in a wired or wireless manner. Preferably, the same supervision platform 120 can be in signal connection with a plurality of smart wearable devices 110 in a wired or wireless manner. The intelligent wearable device 110 detects the positioning data and health parameters of the user, the positioning data includes height information, longitude and latitude information and related time information, and the health parameters include blood pressure, blood oxygen saturation, pulse, myoelectric signals, body temperature, brain waves and the like. Each intelligence is dressed device 110 and is detected user's motion state, when the early warning module 132 of intelligence dress device 110 judges that the user appears abnormal behavior state, intelligence dress device 110 sends the risk suggestion to supervision platform 120 (by its analysis back, can be to the control management platform of freezer again), the request is managed and controlled to the user that appears abnormal behavior state, thereby make the control management platform of freezer can learn the abnormal behavior condition fast, and classify, stop and the record to abnormal behavior, in time supervise the user that appears abnormal behavior to carry out the active or passive adjustment.

According to a preferred embodiment, the supervision platform 120 performs risk classification on the risk prompt sent by the smart wearable device 110. The risk classification may for example be classified as low risk, medium risk, high risk, etc.

In a specific embodiment, the risk is indicated as a low risk level for a user who can get up quickly after a fall and the health parameters quickly return to normal. Preferably, for a user who can not get up quickly after falling down and slowly recovers the health parameters to be normal, the risk is prompted to be a middle risk level. Preferably, the risk prompt is a high risk level for a user who can not get up quickly after falling down, has no recovery trend of various health parameters, and even shows that the vital signs are reduced according to the health parameters.

The administration platform 120 governs users in varying degrees and ways in response to risk stratification. Preferably, when the monitoring platform 120 controls the user in response to the risk prompt with a low risk level, the monitoring platform 120 communicates with the user through the communication module 136 of the smart wearable device 110 to inquire about an abnormal situation. When the monitoring platform 120 responds to the risk prompt of the middle risk level to control the user, the monitoring platform 120 communicates with the user through the communication module 136 of the intelligent wearable device 110, inquires about the abnormal situation, and sends a help instruction to other users near the user with the abnormal behavior, so that the other users go to help the user with the abnormal behavior. When the monitoring platform 120 responds to the risk prompt of the high risk level to control the user, the monitoring platform 120 establishes data transmission with the intelligent wearable device 110, monitors the heart rate, blood oxygen data and the like of the abnormal behavior user in real time, and sends a third party person to help the abnormal behavior user.

In a specific embodiment, the supervision platform 120 manages the corresponding abnormal behavior state, including sending information to a third party, and performing an intervention on the user wearing the wearable device 110 by the third party. For example, when the risk prompt responded by the monitoring platform 120 is a high risk level, the monitoring platform 120 requests assistance from the hospital, and sends the health parameters of the abnormal behavior user, such as heart rate, blood oxygen data, and the like, to the hospital, and the hospital dispatches medical staff to treat the abnormal behavior user.

In a specific embodiment, the smart wearable device 110 is provided with the acousto-optic module 135. The acousto-optic module 135 is capable of working based on the supervision of the supervisory platform 120 and/or the risk cues of the wearable device 110. Preferably, when the monitoring platform 120 asks the user for an abnormal situation through the smart wearable device 110 in response to the risk prompt, the user can communicate with the monitoring platform 120 through the voice function of the acousto-optic module 135. Preferably, the acousto-optic module 135 is capable of emitting an alarm acousto-optic signal without responding to the instructions of the supervision platform 120 when the user has abnormal behavior with a high risk level. The acousto-optic module 135 sends out an alarm acousto-optic signal to attract the attention of other personnel and indicate the rescue target position for medical personnel.

In one embodiment, the early warning module 132 can analyze the abnormal state of the heart of the person according to the parameters of the heart rate, the blood oxygen data, etc. detected by the health detection module 134. Such as too fast a heart rate, high blood pressure, sudden cardiac arrest, etc. The early warning module 132 can integrate the motion state and the heart state to determine the health status of the person. The early warning module 132 can send a risk prompt to the administration platform 120 in the event of an abnormality in the user's motion state and/or cardiac state.

In one embodiment, the monitoring platform 120 of the present invention is capable of monitoring the number of people in a freezer in real time, with the wearing device 110 worn by the workers in the freezer. Under the condition that someone is in the freezer, supervision platform 120 can make the freezer door unable to close, avoids personnel to be locked the emergence of freezer incident by mistake.

Example 2

This embodiment is a further improvement of embodiment 1, and repeated contents are not described again. Because the poisoning and coma of personnel or even death caused by the refrigeration gas leakage of the refrigeration house occur occasionally, and the fire explosion accident is very easy to happen due to the refrigeration gas leakage of the refrigeration house. The present invention provides a motion state risk detection system 100 that is also capable of detecting environmental risk information. The wearable device 110 of the detection system 100 can continuously monitor the environment information of the wearing user.

Fig. 4 is a schematic view of a simplified module connection relationship of another preferred embodiment of the wearable device provided by the present invention. As shown in fig. 4, the present invention provides a motion state risk detection system 100 provided with a gas detection module 133. The gas detection module 133 is capable of detecting toxic gases. Preferably, the gas detection module 133 can detect ammonia gas. In the event that the gas detection module 133 detects toxic gas, the wearable device 110 can send a prompt to both the user and the administration platform 120 at the same time. Preferably, the gas detection module 133 disposed on the wearable device 110 can detect the toxic gas content in the environment. In the case where the gas detection module 133 detects toxic gas, the early warning module 132 of the wearable device 110 sends a signal to the acousto-optic module 135, and the acousto-optic module 135 alerts the user to prompt the user to evacuate. In the case where the gas detection module 133 detects toxic gas, the early warning module 132 of the wearable device 110 sends a toxic gas leakage prompt to the supervision platform 120, and the supervision platform 120 prompts evacuation and evacuation of the organization personnel according to the toxic gas leakage prompt.

In a specific embodiment, the monitoring platform 120 is networked with a fire alarm network, and the fire department can synchronously receive the toxic gas leakage prompt when the monitoring platform 120 receives the toxic gas leakage prompt.

In a specific embodiment, since the leakage of the refrigerating gas in the refrigerator can cause the poisoning coma of the person, in the case that the gas detection module 133 detects the toxic gas, the health detection module 134 transmits the detected health parameters including blood pressure, blood oxygen saturation, pulse, body temperature and brain wave to the monitoring platform 120 in real time through the communication module 136, so as to facilitate the research and judgment of the monitoring platform 120 on the accident situation.

In a specific embodiment, as shown in fig. 5, in the case that the monitoring platform 120 determines that a worker is dangerous in the refrigerator, the monitoring platform 120 may perform the following control while performing the person tracking on the user.

S1: the supervision platform 120 communicates with the user through the communication module 136 of the smart wearable device 110 to inquire about abnormal situations. The administration platform 120 may also

S2: the supervision platform 120 sends a help instruction to other users near the user with the abnormal behavior while communicating with the abnormal user, so that the other users go to help the user with the abnormal behavior.

S3: the monitoring platform 120 calls the abnormal user, inquires about the abnormal situation, sends an instruction for helping the user with the abnormal behavior to other users nearby the user with the abnormal behavior, establishes data transmission with the intelligent wearable device 110, monitors heart rate, blood oxygen data and the like of the user with the abnormal behavior in real time, and sends third-party personnel to help the user with the abnormal behavior.

S4: the supervisory platform 120 prompts evacuation and evacuation of the organization personnel according to dangers such as toxic gas leakage and calls for help from emergency departments such as fire fighting.

This embodiment of the invention has the advantages that:

the supervision of the workers in the refrigeration storage by the management department, such as the refrigeration storage, is mostly post-supervision, or adopts form management, and is limited to video remote monitoring at most. All measures in the prior art can not score the working motion state of each worker, and the high-risk operation of the workers in the management and control refrigeration house is avoided. The technical scheme of the invention is applied to the technical problem that the real-time management and control are required by a management department due to the limitation of the monitoring equipment, so that a reliable automatic management and control system is expected to be achieved.

Example 3

The present embodiments disclose a motion state risk detection method that may be implemented by the system of the present invention and/or other alternative components. For example, the method disclosed in the present embodiment is implemented by using various components in the system of the present invention. The preferred embodiments of the present invention are described in whole and/or in part in the context of other embodiments, which can supplement the present embodiment, without resulting in conflict or inconsistency.

The invention provides a motion state risk detection method, which comprises the step of detecting a motion state of a user by a wearable device 110. When the wearable device 110 detects abnormal user motion state data, the wearable device 110 sends a risk prompt to the administration platform 120. The administration platform 120 responds to the risk cues of the wearable device 110 based on the self condition and the risk cue condition. The wearable device 110 sends the abnormal user behavior data to the monitoring platform 120, and the monitoring platform 120 manages and controls the abnormal motion state of the user.

In a specific embodiment, the early warning module 132 of the wearable device 110 can analyze the data of the positioning module 131 to determine whether the motion state of the user is dangerous. The early warning module 132 can analyze the falling condition of the person according to the time and elevation information of the positioning data.

In a specific embodiment, the early warning module 132 detects the position information in the positioning data of the positioning module 131 to determine the motion state of the user, such as staying, walking, running, etc. Preferably, the early warning module 132 determines the health status of the user according to the data of the health detection module 134, such as blood pressure, pulse, and brain wave of the user. Preferably, the early warning module 132 can integrate the exercise status and the health status to determine the behavioral risk of the person.

In one embodiment, the gas detection module 133 disposed on the wearable device 110 can detect the toxic gas content of the environment. In the case where the gas detection module 133 detects toxic gas, the user is alerted to notify the user of the rapid evacuation. In the case where the gas detection module 133 detects toxic gas, the early warning module 132 of the wearable device 110 sends a toxic gas leakage prompt to the supervision platform 120, and the supervision platform 120 prompts evacuation and evacuation of the organization personnel according to the toxic gas leakage prompt.

In a specific embodiment, the motion state risk detection method provided in this embodiment adopts the motion state risk detection system 100 disclosed in embodiments 1 and 2, and repeated contents are not described again.

Through the above embodiments of the present invention, a compromise solution of safety and low cost can be provided for personnel management in adverse events such as personnel poisoning and coma and even death caused by gas leakage in a warehouse environment, fire and explosion accidents caused by gas leakage, personnel trapping caused by accidental closing, and the like.

The motion state risk detection system and method provided by the invention are described in detail, and a specific example is applied in the description to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A motion state risk detection system, comprising: the monitoring system comprises a monitoring platform (120) and a wearing device (110) which are communicated with each other, wherein the wearing device (110) is used for continuously detecting the motion state of a user, when the motion state of the user is detected to be abnormal, the wearing device (110) sends a risk prompt to the monitoring platform (120), and when the monitoring platform (120) responds to the risk prompt, the wearing device (110) and the monitoring platform (120) are in behavior state data communication so as to confirm that the monitoring platform (120) controls the corresponding abnormal behavior state by means of monitoring equipment preset in a detection area where the user is located.

2. The motion state risk detection system according to claim 1, wherein the wearable device (110) comprises a positioning module (131) and a pre-warning module (132), the pre-warning module (132) generating a risk cue based on an analysis of the user location information and the time information obtained by the positioning module.

3. The system of claim 1 or 2, wherein the administration platform (120) analyzes and rates risk cues, the administration platform (120) governing the user in varying degrees and ways in response to the risk ranking.

4. The motion state risk detection system according to claim 2, wherein the early warning module (132) analyzes the posture of the person based on the time and elevation information extracted from the data of the positioning module (131); and/or the early warning module (132) analyzes the resident condition of the personnel according to the time and position information extracted from the data of the positioning module (131).

5. The motion state risk detection system according to claim 1, wherein when the wearable device (110) sends a risk prompt to the administration platform (120) upon detection of abnormal user motion state data, the administration platform (120) risk ranks the risk prompt in response to the risk prompt of the wearable device (110) and sends a corresponding rank message to the smart device of the user paired with the wearable device (110).

6. A state of motion risk detection system according to claim 1, wherein the wearable device (110) is provided with a gas detection module (133), the wearable device (110) sending a prompt to the user and the supervision platform (120) simultaneously in case the gas detection module (133) detects toxic gas; and/or the wearable device (110) is provided with a health detection module (134), the health detection module (134) detecting health parameters of the user in a manner responsive to management by the supervisory platform (120).

7. The locomotor state risk detection system of claim 6, wherein the health parameters comprise at least blood pressure, blood oxygen saturation, pulse, body temperature and brain waves.

8. The locomotion state risk detection system of claim 1, wherein the wearable device (110) is provided with a acousto-optic module (135), the acousto-optic module (135) working based on the supervision of the supervision platform (120) and/or the risk cues of the wearable device (110).

9. An exercise state risk detection system according to claim 1, wherein the wearable device (110) comprises a protection detection device, and the governing of the respective abnormal behavior state by the supervision platform (120) comprises: the guard detection device sends information to the supervisory platform (120) within a detection area via one of mobile communication and indoor wireless communication; the guard detection device sends information to the supervisory platform (120) via satellite messaging within the detection area.

10. A motion state risk detection method is characterized in that: the method comprises the following steps:

detecting a user motion state by means of a wearable device (110), wherein a risk prompt is sent by the wearable device (110) to a surveillance platform (120) when abnormal user motion state data is detected by the wearable device (110);

risk ranking, by the administration platform (120), risk cues responsive to the risk cues of the wearable apparatus (110), and sending respective ranking messages to the smart device of the user paired with the wearable apparatus (110);

the intelligent equipment paired with the wearable device (110) sends the abnormal user behavior data with the appointed risk level to the supervision platform (120), and the supervision platform (120) manages and controls the corresponding abnormal motion state by means of the supervision equipment preset in the detection area where the user is located.