CN114550902B - RFID-based hospital electrical equipment management system and its method - Google Patents

Abstract

The invention relates to the field of electric equipment monitoring, and provides a hospital electric equipment management system and a method thereof based on RFID, wherein the system comprises the following components: the electric equipment and the matched plug are embedded with RFID electronic tags; the intelligent socket is internally provided with an RFID electronic tag identifier, and the plug is connected with the intelligent socket to identify the RFID electronic tag to acquire the electricity utilization information of each electric equipment; the intelligent distribution box is used for collecting and monitoring electricity consumption of electric equipment corresponding to the intelligent sockets on each line, and generating early warning and realizing intelligent circuit breaking protection when abnormal conditions of the electric equipment are monitored; and the server classifies the received electricity information of the electric equipment uploaded by each intelligent distribution box, trains the convolutional neural network model by adopting different types of electricity information according to classification results, obtains a three-level early-warning model of the electricity information, updates the three-level early-warning model to monitor and early-warn, realizes the safety management of the electric equipment, and improves the safety performance of the electric equipment in hospitals.

Description

RFID-based hospital electrical equipment management system and its method

technical field

The invention relates to the field of electrical equipment monitoring, in particular to the safety monitoring of electrical equipment in hospital operating rooms, and in particular provides an RFID-based hospital electrical equipment management system and a method thereof.

Background technique

Smart hospitals are the strategic commanding heights of the current medical industry construction and development and the main symbol of modernization. Smart fire protection construction is the core part of smart hospital construction. It also promotes the integration of informatization and fire protection services, and improves the fire warning and prevention and control capabilities of medical institutions. Most of the fires reported nationwide are caused by electrical fires, and the hospital is a public place with a large population and a large flow of people. At the same time, the hospital gathers doctors and a large number of patients with limited mobility, especially the operating room, a large number of electrical equipment, and Alcohol and flammable products such as bed sheets and bedding, once caught fire, the fire will spread rapidly, coupled with the inconvenience of patient transfer, how medical staff can save themselves and save others is an urgent problem that needs to be solved.

However, the existing hospital electrical equipment lacks safe and effective management, and cannot conduct online monitoring, intelligent analysis, and hierarchical early warning for electrical equipment. Analysis and early warning for protection can not ensure the normal operation or treatment of the hospital, and it is easy to affect the diagnosis or treatment of the normal equipment of the hospital.

Contents of the invention

The invention provides an RFID-based hospital electrical equipment management system and a method thereof, which are used to solve the problem in the prior art that the hospital electrical equipment cannot be monitored, intelligently analyzed and given an early warning.

In order to achieve the above object, the present invention provides an RFID-based hospital electrical equipment management system, which includes:

The electrical equipment deployed in the hospital, the plug of the electrical equipment is embedded with an RFID electronic tag;

The smart socket has a built-in RFID electronic tag identifier, and the plug is connected to the smart socket to identify the RFID electronic tag to obtain the power consumption information of each power consumption device, and the power consumption information includes the voltage and current of the power consumption device At least one of , power, temperature, leakage, electricity and state;

The intelligent power distribution box is connected to at least one of the smart sockets, collects and monitors the power consumption information of the electric equipment corresponding to the intelligent socket on each line, and generates an early warning when abnormal conditions of the electric equipment are detected And realize intelligent circuit breaker protection; also be used for uploading the power consumption information of each said power consumption equipment collected;

The server is connected to at least one of the intelligent power distribution boxes, and classifies the received power consumption information of the electric equipment uploaded by each of the intelligent power distribution boxes, and uses different types of power consumption information to train the convolutional neural network according to the classification results. Model, obtain the three-level early warning model generated by the electricity consumption information, update the three-level early warning model embedded in each of the intelligent distribution boxes to monitor and early warning to realize the safety management of electrical equipment.

Optionally, the server is also used to store the power consumption information of the electrical equipment uploaded by each of the intelligent distribution boxes, according to the power consumption information of each electrical equipment on each smart socket of each intelligent distribution box in the hospital Information, according to the power consumption information corresponding to each of the smart sockets, respectively call the corresponding type of convolutional neural network model for processing, determine the warning value of each level of power consumption information of the corresponding type, and calculate the difference between the warning value and the actual value of each level The loss function of the convolutional neural network is obtained to obtain the optimal weight vector and bias item of the convolutional neural network, and then the three-level early warning model of the electricity consumption information is constructed.

Optionally, it also includes an intelligent terminal connected to the server through a network, the intelligent terminal receives the early warning signal of the server through an embedded client or computer program, and generates request instructions according to user needs to access the server for management operate.

Optionally, it also includes: the operating room corresponding to each intelligent distribution box is equipped with a large monitoring screen, and the large monitoring screen cooperates with the display screen embedded in the intelligent distribution box, the monitoring screen corresponding to the server, and the intelligent terminal The corresponding monitoring screen performs real-time monitoring and display, and performs multi-dimensional early warning according to the monitoring of the intelligent distribution box.

Optionally, when it is detected that any one or several types of electricity consumption information exceeds the three-level early warning value corresponding to the three-level early warning model, the location of the electric power consumption equipment is determined according to the RFID electronic tag corresponding to the current power consumption equipment, An early warning message containing the location information is generated to remind, and it is determined whether to perform power-off protection for the smart socket corresponding to the current electric device according to the early warning degree of the current early warning information.

Optionally, it also includes: obtaining the temperature value, voltage value and leakage value of the electrical equipment, and determining the corresponding three-level warning value interval range corresponding to the temperature value, voltage value and leakage value of the electrical equipment. The weighting coefficients of each weighting coefficient are combined to carry out safety quantitative evaluation and calculate the safety performance of the current electrical equipment.

Optionally, also include:

Based on the list of preset operating rooms and the type of preset electrical equipment, analyze the power consumption status of each operating room in the hospital. Each operating room is equipped with an intelligent distribution box; Abnormal conditions of electrical equipment types; when detecting abnormal conditions that are not in the preset operating room list and preset electrical equipment types, corresponding warning information will be generated to remind, and by controlling the empty status of the intelligent distribution box Switch off the power supply of the smart socket in the corresponding operating room to achieve power failure protection.

Optionally, also include:

When the electrical device with the RFID electronic tag configured on the plug is inserted into the corresponding jack of the smart socket, the ID data information in the tag is read through the RFID antenna to determine the type and identity of the electrical device associated with the plug connected to the smart socket And send it to the smart distribution box; collect the power consumption information of the electrical equipment associated with the plug inserted in the jack and send it to the smart distribution box; process the power consumption information of the electrical equipment and together with the type and identity of the electrical equipment, Upload to the supporting server through the network, and control the opening and closing of the air switch of the intelligent distribution box and the corresponding jack of the intelligent socket to realize power supply and power-off control according to the control instructions issued by the server and its own control strategy.

In addition, in order to achieve the above purpose, the present invention also provides an RFID-based management method for hospital electrical equipment, the method comprising:

The electrical equipment deployed in the hospital, the plug of the electrical equipment is embedded with an RFID electronic tag;

Use the plug to connect the smart socket to identify the RFID electronic tag to obtain the power consumption information of each power consumption device, and the power consumption information includes at least one of the voltage, current, power, temperature, leakage, power and state of the power consumption device one;

Collect and monitor the power consumption information of the electrical equipment corresponding to the smart socket on each line, and when an abnormal condition of the electrical equipment is detected, an early warning will be generated and intelligent circuit breaker protection will be realized; and each of the collected Upload the electricity consumption information of electrical equipment;

Classify the received power consumption information of the power consumption equipment uploaded by each of the intelligent power distribution boxes, and use different types of power consumption information to train the convolutional neural network model according to the classification results to obtain a three-level early warning model generated by the power consumption information , updating the three-level early warning model embedded in each of the intelligent distribution boxes to monitor and early warning to realize the safety management of electrical equipment.

The RFID-based hospital electrical equipment management method, device, equipment and medium proposed by the present invention can detect potential electrical safety hazards in time and prevent fire accidents through continuous real-time monitoring of the electrical network and electrical equipment for 7*24 hours The use of the unique three-level early warning mode can effectively ensure the safety and reliability of electricity consumption and the stable operation of equipment; at the same time, the use of big data intelligent analysis can provide decision-making data for the hospital's electrical equipment to achieve energy saving, equipment scheduling, etc. foundation to help hospitals develop with high quality.

Description of drawings

Fig. 1 is a structural block diagram of an RFID-based hospital electrical equipment management system provided in an embodiment of the present invention;

Fig. 2 is a schematic structural diagram of an RFID-based hospital electrical equipment management system provided in an embodiment of the present invention;

Fig. 3 is a schematic flowchart of a method for managing electrical equipment in a hospital based on RFID provided in an embodiment of the present invention.

The realization of the purpose of the present invention, functional characteristics and advantages will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

In one embodiment, please refer to Fig. 1, which is a structural block diagram of a RFID-based hospital electrical equipment management system provided by the present invention, the system includes the following steps:

The electrical equipment 1 deployed in the hospital, the plug of the electrical equipment is embedded with an RFID electronic tag;

Among them, the hospital's electrical equipment includes but is not limited to light strips, shadowless lamps, pendants, film viewing lamps, writing desks, etc., and also includes diagnostic electronic equipment (X-ray diagnostic equipment, ultrasonic diagnostic equipment, functional inspection equipment, endoscopes, etc.) Inspection equipment, nuclear medicine equipment, etc.), therapeutic electronic equipment (dialysis treatment equipment, cardiac defibrillation and pacing equipment, artificial respirator, ultrasonic nebulizer, hyperbaric oxygen chamber, high-frequency electric chromium device for ophthalmology, electromagnetic iron absorber, Vitreous body cutter, blood adult separator, etc.) and auxiliary electronic equipment (sterilization equipment, refrigeration equipment, central suction and oxygen supply system, air conditioning equipment, pharmaceutical machinery, etc.), will not be repeated here.

It should be noted that each plug of electrical equipment is embedded with an RFID electronic tag, which is unique, and it is easy to locate by writing the unique identification code, equipment type and location information of this type of equipment on the RFID electronic tag , View the location of the current electrical equipment, easy to manage each electrical equipment.

The smart socket 2 has a built-in RFID electronic tag identifier, and the plug is connected to the smart socket to identify the RFID electronic tag to obtain the power consumption information of each power consumption device, and the power consumption information includes the voltage of the power consumption device, At least one of current, power, temperature, leakage, electricity and state;

Among them, the RFID electronic information inserted into the jack is read through the RFID antenna on the smart socket, which can not only collect the identity information, type and power consumption information of the current electrical equipment, but also help to control each operating room, each smart The distribution box and the power consumption status of the electrical equipment inserted into the corresponding jack on each line on each smart socket.

For example, when the electrical device with the RFID electronic tag configured on the plug is inserted into the socket corresponding to the smart socket, the ID data information in the tag is read through the RFID antenna, and the type of the electrical device associated with the plug connected to the smart socket is determined. and identity and send it to the smart distribution box; collect the power consumption information of the electrical equipment associated with the plug inserted in the jack and send it to the smart distribution box; process the power consumption information of the electrical equipment and send it together with the type and status of the electrical equipment The identity is uploaded to the supporting server through the network, and the opening and closing of the air switch of the intelligent distribution box and the corresponding jack of the intelligent socket are controlled according to the control instructions issued by the server and its own control strategy to realize power supply and power-off control.

It should be noted that it can not only control the power supply and power-off of smart distribution boxes, smart sockets and corresponding sockets, but also realize wide-range control of different situations and precise control of very individual electrical equipment.

For another example, data acquisition and control can be performed on each device and jack connected to the operating room through the intelligent fixed power supply island, intelligent mobile power supply island and intelligent pendant power supply island with RFID, WIFI and data collection. repeat.

The intelligent power distribution box 3 is connected to at least one of the smart sockets, collects and monitors the power consumption information of the electric equipment corresponding to the intelligent socket on each line, and generates Early warning and realize intelligent circuit breaker protection; it is also used to upload the collected power consumption information of each of the power consumption equipment;

Among them, the threshold condition can be generated by the threshold early warning method or machine learning model, so as to judge whether the electrical equipment is abnormal, and then quickly make early warning information to realize the intelligent protection of power failure.

For example, collect the real-time data corresponding to the voltage, current, power, temperature, leakage, power and state of the connected electrical equipment, and analyze the short circuit, leakage, overload, overcurrent, overvoltage, undervoltage, temperature, surge, Fire, three-phase unbalance, and lack of phase are monitored; the data is transmitted to the intelligent distribution box through wireless WiFi, TCP, RS485, etc. to process the data acquisition and processing program, and the data is transmitted to the operation through the hospital intranet wired Web API Indoor electrical fire intelligent prevention and control monitoring and management platform for data analysis and machine learning, recording, analyzing the use and status of the whole hospital, each operating room, each line, each socket and each device to obtain all electrical equipment The three-level early warning model.

What needs to be explained is that it is more conducive to early warning and disposal, discovering early electrical hidden dangers, preventing electrical hidden dangers from evolving into fires, preventing micro-duration, early warning of electrical fires, and eliminating fires; effectively protecting the personal safety of doctors and nurses, electric shocks do not hurt people; equipment identification, failure Accurate positioning, improving maintenance positioning difficulties and maintenance efficiency.

The server 4 is connected to at least one of the intelligent power distribution boxes, classifies the received power consumption information of the electrical equipment uploaded by each of the intelligent power distribution boxes, and uses different types of power consumption information to train the convolutional neural network according to the classification results. The network model obtains the three-level early warning model generated by the electricity consumption information, and updates the three-level early warning model embedded in each intelligent distribution box to monitor and early warning to realize the safety management of the electric equipment.

Specifically, the back-end server collects and stores the data of the power consumption information of the power consumption equipment uploaded by each of the intelligent power distribution boxes, and collects and stores the data of the power consumption information of the power consumption equipment uploaded by each of the intelligent power distribution boxes. Classification, classify and process each electrical equipment to form a training set, use the training set to train the convolutional neural network model, and obtain a three-level early warning model generated by the power consumption information in the intelligent distribution box.

For example, the server is also used to store the power consumption information of the electrical equipment uploaded by each of the intelligent distribution boxes. According to the power consumption information of each electrical equipment on each smart socket of each intelligent distribution box in the hospital, According to the power consumption information corresponding to each of the smart sockets, the corresponding type of convolutional neural network model is called for processing, and the warning value of each level of the corresponding type of power consumption information is determined, and the loss between the warning value and the actual value of each level is calculated. function to obtain the optimal weight vector and bias item of the convolutional neural network, and then construct the three-level early warning model of the electricity consumption information.

Through the above method, the use of online monitoring of electrical equipment on the smart socket can detect electrical safety hazards in time and prevent electrical fire accidents; at the same time, the use of RFID electronic tags to achieve "jack-level" electrical fault location is convenient for fast and accurate maintenance; smart distribution The electrical box monitors the safety of important electrical equipment in real time to avoid losses caused by power outages; uses the server and multi-dimensional display early warning intelligent identification equipment, monitors the operating status, and comprehensive visual management; uses big data to automatically analyze the energy efficiency and cost of operating room equipment Data to facilitate high-quality development.

In some other embodiments, it also includes an intelligent terminal connected to the server through a network, the intelligent terminal receives the described information through an embedded client or a computer program, and generates request instructions according to user needs to access the server for management operations .

Among them, smart terminals include but are not limited to computers, tablet computers, smart phones, handheld computers, etc., connect to the server through the network, install computer programs on the smart terminal, such as client, applet, etc., access the server through the login program, and communicate with the server Establish a communication connection.

Through the embedded computer program, the intelligent terminal can receive the early warning signal and early warning information forwarded by the server, and realize early warning reminders in different dimensions. At the same time, the intelligent terminal can generate query requests and management requests to access the server, thereby realizing remote management and control electrical equipment needs.

In some other embodiments, it also includes: the operating room corresponding to each intelligent distribution box is equipped with a large monitoring screen, and the large monitoring screen cooperates with the display screen embedded in the intelligent distribution box and the monitoring screen corresponding to the server And the monitoring screen corresponding to the intelligent terminal performs real-time monitoring and display, and performs multi-dimensional early warning according to the monitoring of the intelligent distribution box.

For example, the large monitoring screen shows the safety status of each device, socket, line and operating room through the real-time panoramic intelligent monitoring "cockpit" diagram of electrical fire in the operating room, and provides early warning prompts through voice and pop-up windows, which is beneficial Medical personnel can check at any time, and it is also convenient for management and control;

Another example is to monitor, view and receive early warning messages in real time through the display screen embedded in the power distribution box, the large monitoring screen in the operating room, all the computer PCs in the intranet, the large screen in the fire control room, and the WeChat applet. Through all-round monitoring, Realize real-time detection, alarm, feedback, and recording of electrical faults such as over-residual current, short-circuit, and over-temperature in the hospital power distribution system, and establish smart electrical fire intelligent early warning and remote automatic power-off control functions to improve hospital electricity safety management capabilities , The ability to deal with electronic safety hazards. Build a big data and IoT platform for the "safety operation cockpit" of medical institutions that integrates "human defense, physical defense, and technical defense".

In some other embodiments, when any one or several kinds of power consumption information is monitored to exceed the three-level early warning value corresponding to the three-level early warning model, the current power consumption equipment is determined according to the RFID electronic tag corresponding to the current power consumption equipment. According to the warning level of the current warning information, it is determined whether to perform power-off protection for the smart socket corresponding to the current electric device.

Specifically, machine learning can also be used to process the collected power consumption information of each power consumption equipment,

For example, the machine learning algorithm may use a random forest algorithm, a support vector machine algorithm, a decision tree algorithm, etc., and the embodiment of this specification does not limit which machine learning algorithm is used. In the embodiment of this specification, the existing model training method may be used for the method of training the abnormality detection model, which will not be repeated here. In practical applications, the target information can be text information. Before inputting into the trained three-level early warning model, the feature vector of the target information can be extracted to generate input feature information, so that the trained anomaly detection model can be more effective. Calculation processing.

In some other embodiments, it also includes: acquiring the temperature value, voltage value and leakage value of the electrical equipment, according to the three-level warning value interval corresponding to the temperature value, voltage value and leakage value of the electrical equipment The corresponding weighting coefficients are determined according to the range, and each weighting coefficient is fused to carry out safety quantitative evaluation and calculate the safety performance of the current electrical equipment.

Among them, the three-level early warning standard includes but is not limited to temperature, voltage or leakage. For example, the normal temperature range is less than 55 degrees, and the rated operating temperature of the cable considering the natural efficiency is 60 ° C; the rated operating temperature of the PVC cable insulation is 70 ° C; The rated operating temperature of polyethylene and ethylene-propylene rubber insulation is 90°C. Therefore, the corresponding first-level warning temperature value is less than 60 degrees, the second-level warning temperature value is less than 65 degrees, and the third-level warning temperature value is less than 75 degrees.

Natural rubber wires are low temperature resistant to -50°C, but high temperature resistance is only 60°C, and they will be flame-retardant, suitable for low temperature environments; all parameters of PVC cables are moderate, and they are flame-retardant, and are currently the largest and most widely used; Ethylene-propylene rubber is generally used for medium and high voltages Electrical, high and low temperature performance is good, but the cost is high; considering that most of the wires currently used are PVC flame-retardant wires, the working temperature should not exceed 70°C (over-temperature will accelerate aging), and the heat damage temperature is above 100°C. The temperature is above 200°C.

For example, the normal voltage range is less than 200V or greater than 245V; the current voltage fluctuation range specified by the State Grid is -10% to +7%, that is, 198V to 235.4V. At present, the maximum operating voltage range of mainstream electrical equipment on the market is 85-265V; the operating room voltage has been measured and the normal operating voltage is about 235V. Therefore, the first-level warning voltage corresponding to the voltage three-level alarm standard is less than 195V or greater than 250V , the voltage value of the second-level warning is less than 190V or greater than 260v, and the voltage value of the third-level warning is less than 180V or greater than 265v.

For another example, the normal leakage range is less than 25mA. At present, the normal leakage protection device action value is generally 30mA. Therefore, the first-level warning leakage value corresponding to the three-level leakage alarm standard is greater than 25mA, and the second level The first-level early warning leakage value is greater than 30 mA, and the third-level early warning leakage value is greater than 40 mA.

Through the above method, the online monitoring of the electricity consumption information of the electrical equipment is carried out, and the three-level early warning standard is realized by embedding the three-level early warning model. What needs to be explained here, in addition to the temperature value, voltage value and leakage value, can also include current, power , power, etc., are not limited here.

It should also be noted that the weighted coefficients are calculated by means of weighted summation to obtain a quantitative safety assessment, which is used to calculate the safety performance of the current electrical equipment. For example, the safety performance can be accurately calculated by comparing thresholds.

In other embodiments, also include:

Based on the list of preset operating rooms and the type of preset electrical equipment, analyze the power consumption status of each operating room in the hospital. Each operating room is equipped with an intelligent distribution box; Abnormal conditions of electrical equipment types; when detecting abnormal conditions that are not in the preset operating room list and preset electrical equipment types, corresponding warning information will be generated to remind, and by controlling the empty status of the intelligent distribution box Switch off the power supply of the smart socket in the corresponding operating room to achieve power failure protection.

Specifically, the list of preset operating rooms is a list generated by prioritization according to the importance of the operating room; the type of preset electrical equipment generates a corresponding list according to the electronic medical equipment arranged in the operating room; since there are non-surgical The operating room can also be equipped with an intelligent power distribution box. When there is insufficient power, for example, abnormalities, power outages and other special circumstances, the power consumption of non-operating rooms can be cut off to reduce power consumption, thereby avoiding the waste of power. It can also ensure the normal operation of the operating room and avoid medical accidents caused by power outages.

In the same way, by cutting off the power consumption of the preset types of electrical equipment in the non-operating room, the electrical energy of the electronic medical equipment required for non-operation in the operating room can also be reduced, such as air conditioners, heating equipment, etc. Insufficient power supply caused by electricity.

For example, when it is detected that the power supply of the non-operating room is cut off, and the power supply of the operating room without surgery is cut off, the sufficient power is ensured. If it is detected that the power is not enough, the current remaining power can be calculated. The power of non-essential electrical equipment in the room can overcome the phenomenon of insufficient power.

Through the above method, the electrical equipment corresponding to each intelligent distribution box can be further accurately managed to ensure the normal use of the electrical equipment in the operating room.

Please refer to Fig. 2, which is a schematic structural diagram of an RFID-based hospital electrical equipment management system provided in an embodiment of the present invention, as follows:

RFID sensors, data acquisition terminals (i.e., smart sockets), servers composed of monitoring platforms, real-time monitoring large screens in operating rooms, intelligent prevention and control monitoring management platforms for electrical fires in operating rooms, and prestige applets on mobile terminals are composed of software and hardware. The acquisition terminal is used as the perception layer, each operating room is used as an independent unit and data transfer, and the entire hospital is used as a platform for construction.

The electrical equipment is automatically identified through the RFID automatic identification technology, and the information is collected by the intelligent data collection terminal.

Through the intelligent fixed power supply island, intelligent mobile power supply island and intelligent pendant power supply island with RFID, WIFI and data collection, the data collection and control of each electrical equipment and jack connected to the operating room, that is, each intelligent power distribution The box controls at least one data acquisition terminal.

The medical-grade intelligent distribution box monitors the power consumption status of each line in the operating room in real time, and detects abnormalities such as short circuit, leakage, overload, overcurrent, overvoltage, undervoltage, temperature, surge, ignition, three-phase imbalance, and phase loss Real-time alarm for the situation, and intelligent circuit breaker protection, equipped with a large-size touch screen, quantitative maintenance of electrical faults in the operating room; data collection, monitoring and control for each line.

The server network is connected to each intelligent distribution box for data processing, analysis, and three-level early warning model for early warning processing, and through the intelligent terminal (client) for maintenance management, data viewing, and early warning reminders.

A system that meets the requirements of electrical fire prevention and control detection in operating rooms in key hospital locations. The system uses Internet of Things, cloud computing, big data and other technologies, and relies on modern communication methods such as wired, wireless, and mobile Internet to establish a hierarchical early warning electrical fire protection big data application. The system builds the intelligent prevention and control of the hospital's Internet of Things electrical fire protection into a comprehensive platform for online monitoring, intelligent analysis, and hierarchical early warning of the mobile terminal and the client terminal, and is interconnected with the fire emergency command system. This system is different from traditional fire protection through technologies such as big data, machine learning, and the Internet of Things. Traditional fire protection is treated after the event, but this system is pre-event prevention, which carries out early warning and disposal before the fire occurs, and prevents the occurrence of fire.

Through the real-time detection, alarm, feedback, and recording of electrical faults such as over-residual current, short-circuit, and over-temperature in the power distribution system, the establishment of smart electrical fire intelligent early warning and remote automatic power-off control functions can improve the hospital's electricity safety management. Ability to deal with electronic safety hazards. Build a big data and IoT platform for the "safety operation cockpit" of medical institutions that integrates "human defense, physical defense, and technical defense".

In some embodiments, please refer to FIG. 3 , which is a schematic diagram of the training process of the growth trend prediction model in the RFID-based hospital electrical equipment management method provided in one embodiment of the present invention, and is described in detail as follows:

In addition, in order to achieve the above purpose, the present invention also provides a flow chart of a method for managing electrical equipment in hospitals based on RFID, see FIG. 3 , the method includes:

Step S1, deploying the electrical equipment in the hospital, the plugs of the electrical equipment are embedded with RFID electronic tags;

Step S2, use the plug to connect the smart socket to identify the RFID electronic tag to obtain the power consumption information of each power consumption device, the power consumption information includes the voltage, current, power, temperature, leakage, power and at least one of the states;

Step S3, collect and monitor the power consumption information of the electrical equipment corresponding to the smart socket on each line, and generate an early warning and realize intelligent circuit breaker protection when abnormal conditions of the electrical equipment are detected; Upload the power consumption information of each of the power consumption equipment;

Step S4, classify the received power consumption information of the power consumption equipment uploaded by each of the intelligent power distribution boxes, and use different types of power consumption information to train the convolutional neural network model according to the classification results, and obtain the three power consumption information generated by the power consumption information. The three-level early warning model embedded in each intelligent distribution box is updated to monitor and early warning to realize the safety management of electrical equipment.

Here, the RFID-based hospital electrical equipment management method and the RFID-based hospital electrical equipment management system have a one-to-one correspondence, and the technical details, technical ideas, technical solutions, and technical effects involved are the same, and will not be repeated here. repeat.

The embodiments of the present application may acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, apparatus, article or method comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, apparatus, article, or method. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional same elements in the process, apparatus, article or method comprising the element.

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments. Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product in essence or in other words, the part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM) as described above. , magnetic disk, optical disk), including several instructions to enable a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process conversion made by using the description of the present invention and the contents of the accompanying drawings, or directly or indirectly used in other related technical fields , are all included in the scope of patent protection of the present invention in the same way.

Claims (6)

1. An RFID-based hospital electrical equipment management system, characterized in that the system includes: The electrical equipment deployed in the hospital, the plug of the electrical equipment is embedded with an RFID electronic tag; The smart socket has a built-in RFID electronic tag identifier, and the plug is connected to the smart socket to identify the RFID electronic tag to obtain the power consumption information of each power consumption device, and the power consumption information includes the voltage and current of the power consumption device At least one of , power, temperature, leakage, electricity and status; The intelligent power distribution box is connected to at least one of the smart sockets, collects and monitors the power consumption information of the electric equipment corresponding to the intelligent socket on each line, and generates an early warning when abnormal conditions of the electric equipment are detected And realize intelligent circuit breaker protection; it is also used to upload the collected power consumption information of each of the power consumption equipment; wherein, based on the preset operating room list and the preset power consumption equipment type, analyze the power consumption status of each operating room in the hospital , each operating room is equipped with an intelligent distribution box; detect whether there is an abnormal situation that is not in the preset operating room list and preset electrical equipment type; when it is detected that it is not in the preset operating room list and preset When there is an abnormal condition of the type of electrical equipment, corresponding warning information is generated to remind, and the power supply of the smart socket in the corresponding operating room is disconnected by controlling the air switch of the smart distribution box to realize power-off protection; The server is connected to at least one of the intelligent power distribution boxes, and classifies the received power consumption information of the electric equipment uploaded by each of the intelligent power distribution boxes, and uses different types of power consumption information to train the convolutional neural network according to the classification results. Model, obtain the three-level early warning model generated by electricity information, update the three-level early warning model embedded in each intelligent distribution box to monitor and early warning to realize the safety management of electrical equipment; Wherein, the server is also used to store the power consumption information of the electrical equipment uploaded by each of the intelligent power distribution boxes, according to the power consumption information of each electrical equipment on each smart socket of each intelligent power distribution box in the hospital, According to the power consumption information corresponding to each of the smart sockets, the corresponding type of convolutional neural network model is called for processing, and the warning value of each level of the corresponding type of power consumption information is determined, and the loss between the warning value and the actual value of each level is calculated. function to obtain the optimal weight vector and bias item of the convolutional neural network, and then construct a three-level early warning model of the power consumption information; obtain the temperature value, voltage value and leakage value of the power consumption equipment, according to The temperature value, voltage value, and leakage value of the electrical equipment correspond to the corresponding three-level warning value intervals to determine the corresponding weighting coefficients, and integrate each weighting coefficient to perform safety quantitative evaluation and calculate the safety performance of the current electrical equipment. 2. The RFID-based hospital electrical equipment management system as claimed in claim 1, further comprising, a network connection with an intelligent terminal of the server, and the intelligent terminal receives the information received by an embedded client or a computer program. The early warning signal of the server, and the request command is generated according to the user's demand to access the server for management operations. 3. The RFID-based hospital electrical equipment management system according to claim 1 or 2, further comprising: the operating room corresponding to each of the intelligent distribution boxes is equipped with a large monitoring screen, and the monitoring The large screen cooperates with the display screen embedded in the smart distribution box, the monitoring screen corresponding to the server, and the monitoring screen corresponding to the smart terminal to perform real-time monitoring and display, and perform multi-dimensional early warning based on the monitoring of the smart distribution box. 4. The RFID-based hospital electrical equipment management system as claimed in claim 1, further comprising: when monitoring any one or several types of electricity consumption information exceeds the corresponding three-level early warning value of the three-level early warning model , determine the location of the electrical equipment according to the RFID tag corresponding to the current electrical equipment, generate early warning information containing the location information to remind, and determine whether the current electrical equipment corresponding to the current electrical equipment is Smart socket for power failure protection. 5. The RFID-based hospital electrical equipment management system as claimed in claim 1, further comprising: When the electrical device with the RFID electronic tag configured on the plug is inserted into the corresponding jack of the smart socket, the ID data information in the tag is read through the RFID antenna, and the type and identity of the electrical device associated with the plug connected to the smart socket are determined and Send it to the smart distribution box; collect the power consumption information of the electrical equipment associated with the plug inserted in the jack and send it to the smart distribution box; process the power consumption information of the electrical equipment and, together with the type and identity of the electrical equipment, pass The network is uploaded to the supporting server, and the opening and closing of the air switch of the intelligent distribution box and the corresponding jack of the intelligent socket are controlled according to the control instructions issued by the server and its own control strategy to realize power supply and power-off control. 6. An RFID-based hospital electrical equipment management method, characterized in that the method comprises: The electrical equipment deployed in the hospital, the plug of the electrical equipment is embedded with an RFID electronic tag; Use the plug to connect the smart socket to identify the RFID electronic tag to obtain the power consumption information of each power consumption device, and the power consumption information includes at least one of the voltage, current, power, temperature, leakage, power and state of the power consumption device one; Collect and monitor the power consumption information of the electrical equipment corresponding to the smart socket on each line, and when an abnormal condition of the electrical equipment is detected, an early warning will be generated and intelligent circuit breaker protection will be realized; and each of the collected Upload the electricity consumption information of electrical equipment; among them, based on the list of preset operating rooms and the type of preset electrical equipment, analyze the power consumption status of each operating room in the hospital, and each operating room is equipped with an intelligent power distribution box; detect whether There is an abnormal situation that is not in the preset operating room list and the preset electrical equipment type; when an abnormal situation that is not in the preset operating room list and the preset electrical equipment type is detected, a corresponding warning message is generated to remind , and realize power-off protection by controlling the air switch of the intelligent distribution box to disconnect the power supply of the intelligent socket in the corresponding operating room; Classify the received power consumption information of the power consumption equipment uploaded by each of the intelligent power distribution boxes, and use different types of power consumption information to train the convolutional neural network model according to the classification results to obtain a three-level early warning model generated by the power consumption information , updating the three-level early warning model embedded in each of the intelligent distribution boxes to monitor and early warning to realize the safety management of electrical equipment; wherein, it is used to store the electricity consumption information of the electrical equipment uploaded by each of the intelligent distribution boxes, according to The power consumption information of each electrical device on each smart socket of each intelligent distribution box in the hospital is processed by calling the corresponding type of convolutional neural network model according to the power consumption information corresponding to each of the smart sockets to determine For each level of warning value of the corresponding type of power consumption information, calculate the loss function between the warning value of each level and the actual value, and obtain the optimal weight vector and bias item of the convolutional neural network, and then construct the power consumption information The three-level early warning model; obtain the temperature value, voltage value and leakage value of the electrical equipment, and determine the corresponding three-level early warning value interval range corresponding to the temperature value, voltage value and leakage value of the electrical equipment. The weighting coefficients are combined with each weighting coefficient to carry out safety quantitative evaluation and calculate the safety performance of the electrical equipment currently described.

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