An insulin pump safety reminder system based on wireless technology

Abstract

The invention discloses an insulin pump safety reminder system based on wireless technology, which relates to the technical field of medical equipment. The system includes an insulin pump terminal module and a room terminal module. The invention aims to deal with the safety issues of using insulin pumps in strong magnetic, strong radiation and high-voltage environments. Through the coordinated operation of magnetic field induction and wireless communication technology, automatic monitoring and timely warning of the strong magnetic field environment of the insulin pump are realized, which greatly reduces the risk caused by negligence of medical staff and improves the safety and reliability of medical services. The multi-sensor fusion algorithm of the magnetic field induction unit and the encryption algorithm of wireless communication in the system effectively improve the accuracy, stability and safety of each link of the system, ensure the accuracy of data transmission and the stability of equipment operation. The setting of the central monitoring platform facilitates the centralized control and efficient analysis of a large number of insulin pumps and room terminal information by the medical management department, which helps to optimize the allocation of medical resources and improve the efficiency of hospital management, and provide more comprehensive and high-quality protection for the treatment of diabetic patients.

Description

Technical Field

[0001] The invention relates to the technical field of medical equipment, and in particular to an insulin pump safety reminder system based on wireless technology. Background Art

[0002] As the incidence of diabetes continues to rise, insulin pumps are increasingly used in the treatment of diabetes. Insulin pumps can simulate the insulin secretion pattern of the human pancreas and continuously and accurately infuse insulin into the patient's body, thereby effectively controlling blood sugar levels, significantly improving the patient's quality of life and reducing the risk of diabetic complications.

[0003] However, in the modern medical environment, diabetic patients may need to undergo a variety of medical examinations and treatments, including MRI and CT scans, which involve strong magnetic fields and strong radiation environments. Insulin pumps contain complex electronic components and sophisticated circuit systems, which are sensitive to magnetic fields and radiation areas. Patients cannot carry insulin pumps into strong magnetic fields and strong radiation areas. The normal operation of insulin pumps may be disturbed, resulting in inaccurate insulin infusion doses, which in turn affects the patient's blood sugar control effect. In severe cases, the insulin pump may even be damaged, increasing the patient's economic burden and affecting the treatment process. At the same time, it increases the medical costs of hospitals and departments.

[0004] At present, in clinical practice, medical staff are mainly responsible for reminding patients to remove their insulin pumps before entering strong magnetic fields and strong radiation areas. However, due to the busy work and numerous tasks of medical staff, they often forget to remind patients, which undoubtedly brings huge potential risks to the treatment safety of patients. Therefore, it is necessary to propose an insulin pump safety reminder system based on wireless technology to solve the problems in the existing technology. Summary of the invention

[0005] The purpose of the present invention is to make up for the shortcomings of the existing technology and provide an insulin pump safety reminder system based on wireless technology. It can realize automatic monitoring and timely warning of the strong magnetic field and strong radiation environment of the insulin pump through the coordinated operation of magnetic field induction and wireless communication technology, greatly reducing the risks caused by negligence of medical staff and improving the safety and reliability of medical services.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: an insulin pump safety reminder system based on wireless technology, the system includes an insulin pump terminal module and a room terminal module;

[0007] The insulin pump terminal module comprises: a magnetic field sensing unit, a control unit, a wireless communication unit and an alarm unit;

[0008] The magnetic field sensing unit is used to detect the surrounding magnetic field strength. When the magnetic field strength exceeds a preset threshold, a trigger signal is sent to the control unit. The magnetic field sensing unit uses a multi-sensor fusion algorithm to collect and process magnetic field data. The collected magnetic field data sequence is defined as M = {m1, m2, ..., m n}, normalize the data, the normalization formula is where m′ i is the normalized data, min(M) and max(M) are the minimum and maximum values ​​in the magnetic field data sequence M, respectively. Then the normalized data is fused by the weighted average algorithm. The fusion formula is: Among them, M f is the magnetic field strength value after fusion, w i is the weight of the i-th sensor data, and ∑ i w i =1, when M f When the preset threshold is exceeded, it is determined that the strong magnetic field area has been entered and a trigger signal is sent to the control unit;

[0009] The control unit is used to receive and process the trigger signal, and control the wireless communication unit and the alarm unit;

[0010] The wireless communication unit sends the location information and magnetic field anomaly information of the insulin pump to the room-end module under the instruction of the control unit;

[0011] The alarm unit deploys the alarm function according to the actual needs of the room. Once the insulin pump is brought to the door of the room equipped with the alarm module and the distance between the two is close enough, the control unit is triggered to issue an alarm prompt;

[0012] The room-end module includes: a wireless receiving unit, a processing unit and an alarm unit;

[0013] The wireless receiving unit is used to receive information sent by the insulin pump terminal module;

[0014] The processing unit is used to analyze and process the received information, determine whether an insulin pump has entered the strong magnetic field area, and activate the alarm unit if so;

[0015] The alarm unit is used to send out an alarm signal.

[0016] Furthermore, the multi-sensor fusion algorithm in the magnetic field sensing unit determines the weight w i When , a dynamic weight allocation method based on distance is used to define the distance between the i-th sensor and the preset standard position point inside the insulin pump as d i , then the weight The reference point is a standard position point pre-set inside the insulin pump.

[0017] Furthermore, the wireless communication unit adopts Bluetooth and Wi-Fi wireless communication technology, and uses an encryption algorithm to encrypt data during data transmission. The encryption algorithm is based on the elliptic curve encryption principle, and defines the sender's private key as k and the public key as K=kG, where G is a base point on the elliptic curve. The data m to be transmitted is first mapped to the elliptic curve to obtain point P m , and then calculate the encrypted ciphertext C = (rG, P m +rK), where r is a random number. After receiving the ciphertext C, the receiver uses his own private key k r Decryption, the decryption formula is P m =C2-k r C1, where C1 = rG , C2=P m +rK.

[0018] Furthermore, the system also includes a central monitoring platform, which is wirelessly connected to multiple insulin pump end modules and room end modules for real-time collection, storage, analysis and management of information, and sends notification messages to medical staff in abnormal situations. The central monitoring platform adopts a distributed data storage architecture to store the collected information in a distributed manner according to regions, hospital departments and patient groups. The total data volume is defined as D, which is divided into m data subsets D = {D1, D2, ..., D m}, each data subset is stored on a different storage node, and data is allocated and managed between storage nodes through a consistent hashing algorithm. When new data needs to be stored, the hash value h(d) of the data is calculated first, where d is the data to be stored, and then the consistent hashing algorithm is used to determine which storage node the data should be stored on.

[0019] Furthermore, the alarm unit of the insulin pump end module emits sound, vibration and light signal alarm prompts, and the alarm parameters can be adjusted and set. The alarm unit adopts an intelligent adjustment algorithm, defines the ambient noise intensity as N, the basic volume of the sound alarm as V0, and the adjustment coefficient as α, then the actual alarm volume V=V0+αN.

[0020] Furthermore, the processing unit of the room-end module can be connected to the control system of the CT room to suspend the CT scanning operation. After determining that an insulin pump has entered the strong magnetic field area, the processing unit sends a pause instruction to the CT room control system. A redundant check mechanism is adopted, and the pause instruction sent is defined as I, which is converted into a binary sequence B = {b1, b2, ..., b n}, calculate the checksum Then the instruction I and the checksum S are sent to the CT room control system. After receiving the instruction, the CT room control system recalculates the checksum and compares it with the received checksum. If they are consistent, a pause operation is executed, otherwise the instruction is required to be resent.

[0021] Furthermore, the insulin pump terminal module also includes a power management unit, which adopts an intelligent power distribution algorithm to define that the insulin pump has p working components, and the working priority of the i-th component is P i , the current power required is W i , the total power is W t , then the power allocated to the i-th component

[0022] Furthermore, the wireless receiving unit of the room-side module adopts an adaptive signal enhancement algorithm, defining the received signal strength as R, the noise strength as n, and the signal quality evaluation factor as When Q is lower than the preset quality threshold, the adaptive signal enhancement algorithm is started. The algorithm enhances the signal strength by adjusting the gain G of the receiving antenna and the parameter F of the signal filter. The adjustment formula is G′=G+β(1-Q), where β is the gain adjustment coefficient, and F′=F+γ(1-Q), where γ is the filter parameter adjustment coefficient.

[0023] Furthermore, the wireless communication between the insulin pump terminal module and the room terminal module uses time division multiplexing technology to allocate channels, dividing the communication time into multiple time slots T = {t1, t2, ..., t m}, each time slot is assigned to a different communication task, including the insulin pump location information transmission time slot t p , magnetic field anomaly information transmission time slot t m , define the total number of communication tasks as k, then the duration of each time slot is where w j is the weight of the jth communication task and

[0024] Furthermore, when processing the trigger signal of the magnetic field sensing unit, the control unit of the insulin pump terminal module adopts a fault self-diagnosis algorithm to define the magnetic field sensing unit within a period of time T. s The number of trigger signals sent within is n s , the normal triggering threshold is n t , if n s >n t, the control unit starts the fault self-diagnosis program, which first checks the sensor connection status of the magnetic field sensing unit, and determines whether the connection is normal by sending a detection pulse signal and receiving a feedback signal. If the connection is normal, the calibration parameters of the sensor are checked and corrected. The calibration parameters of the sensor are defined as λ={λ1,λ2,…,λ q}, by comparing with the preset standard calibration parameter λ s ={λ s1 ,λ s2 ,…,λ sq} for comparison and calculation of the deviation Δλ i =λ i -λ si , |Δλ i |If the deviation exceeds the allowable range, the calibration parameters are corrected. The correction formula is λ′ i =λ si +αΔλ i , where α is the correction coefficient.

[0025] Compared with the existing technology, the insulin pump safety reminder system based on wireless technology has the following beneficial effects:

[0026] The present invention aims to address the safety issues of insulin pump use in strong magnetic, strong radiation and high-voltage environments. Through the coordinated operation of magnetic field sensing and wireless communication technology, automatic monitoring and timely warning of strong magnetic fields and strong radiation environments of insulin pumps are realized, which greatly reduces the risks caused by negligence of medical staff and improves the safety and reliability of medical services. The multi-sensor fusion algorithm of the magnetic field sensing unit and the encryption algorithm of wireless communication in the system effectively improve the accuracy, stability and security of each link of the system, ensure the accuracy of data transmission and the stability of equipment operation. The setting of the central monitoring platform facilitates the centralized control and efficient analysis of a large number of insulin pumps and room-end information by medical management departments, helps to optimize the allocation of medical resources and improve hospital management efficiency, and provides more comprehensive and high-quality protection for the treatment of diabetic patients.

[0027] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0029] Figure 1 This is a structural diagram of an insulin pump safety reminder system based on wireless technology. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] Embodiment 1

[0032] In the endocrinology ward of a general hospital, a diabetic patient was receiving treatment and wearing an insulin pump. The patient needed an abdominal CT scan to further clarify the diagnosis. At this time, the wireless technology-based insulin pump safety reminder system began to play a role.

[0033] When the devices are turned on at the insulin pump and room ends, the magnetic field sensing unit at the insulin pump begins to work, and the parameters in the multi-sensor fusion algorithm are initialized according to the settings. For example, the collected magnetic field data sequence M = {m1, m2, ..., m n}The relevant calculation parameters are ready, and the weight of each sensor w i (determined by a distance-based dynamic weight allocation method, assuming that the distance between the i-th sensor and the preset standard position point inside the insulin pump is d i , then the weight )Initialization completed.

[0034] At the same time, the control unit, wireless communication unit and alarm unit of the insulin pump complete self-inspection and initialization settings, and the intelligent adjustment algorithm of the alarm unit (assuming the ambient noise intensity is N, the basic volume of the sound alarm is V0, the adjustment coefficient is α, then the actual alarm volume V=V0+αN) parameter setting is completed.

[0035] The wireless receiving unit, processing unit and alarm unit at the room end are also initialized. The adaptive signal enhancement algorithm of the wireless receiving unit (assuming the received signal strength is R, the noise strength is n, and the signal quality evaluation factor is When Q is lower than the preset quality threshold, the adaptive signal enhancement algorithm is started. The algorithm enhances the signal strength by adjusting the gain G of the receiving antenna and the parameter F of the signal filter. The adjustment formula is G′=G+β(1-Q) (where β is the gain adjustment coefficient), F ′=F+γ(1-Q)(where γ is the filter parameter adjustment coefficient)) The parameters are ready, the processing unit is connected to the CT room control system and the redundant check mechanism of the pause command is set (assuming that the pause command sent is I, which is converted into a binary sequence B = {b1, b2, ..., b n}, calculate the checksum ).

[0036] The distributed data storage architecture of the central monitoring platform (assuming that the total data volume is D, divided into m data subsets D = {D1, D2, ..., D m}, each data subset is stored on a different storage node, and the storage nodes use the consistent hashing algorithm to distribute and manage data. When new data needs to be stored, the hash value h(d) of the data is calculated first (where d is the data to be stored), and then the consistent hashing algorithm is used to determine which storage node the data should be stored on) and the communication connection with each end is initialized. The intelligent power distribution algorithm of the power management unit at the insulin pump end (assuming that the insulin pump has p working components, and the working priority of the i-th component is P i , the current power required is W i Total power supply power is W t , then the power allocated to the i-th component )Parameters are set.

[0037] The magnetic field sensing unit at the insulin pump end continuously collects the magnetic field data sequence M = {m1, m2, ..., m n}, according to the normalization formula The data is normalized and then the weighted average algorithm is used The normalized data is fused to obtain the magnetic field intensity value M f .

[0038] When the magnetic field strength value M f When the preset threshold is exceeded, the control unit starts the wireless communication unit. The wireless communication unit uses Bluetooth, Wi-Fi or other low-power short-range wireless communication technology, and encrypts the location information and magnetic field anomaly information of the insulin pump based on the elliptic curve encryption principle and sends it to the wireless receiving unit at the room end. The encryption process is to set the sender's private key to k, the public key to K = kG (where G is a base point on the elliptic curve), and the data m to be transmitted. First, the data m is mapped to the elliptic curve to obtain point P m , and then calculate the encrypted ciphertext C = (rG, P m +rK)(where r is a random number). At the same time, the wireless communication between the insulin pump and the room uses time division multiplexing technology to allocate channels, dividing the communication time into several time slots T = {t1, t2, ..., t m}, each time slot is assigned to a different communication task, such as the insulin pump location information transmission time slot t p , magnetic field anomaly information transmission time slot t m Etc., let the total number of communication tasks be k, then the duration of each time slot is (W j is the weight of the jth communication task, and ∑ j =1 k w j =1).

[0039] After the wireless receiving unit at the CT room receives the information, if the signal quality evaluation factor When the signal intensity is lower than the preset threshold, the adaptive signal enhancement algorithm is activated to adjust the gain G′=G+β(1-Q) of the receiving antenna and the parameter F′=F+γ(1-Q) of the signal filter to enhance the signal strength and accurately receive information. The processing unit analyzes the received information to determine whether an insulin pump has entered the strong magnetic field and strong radiation area. If so, the alarm unit is activated to send an alarm signal and send a pause command to the CT room control system according to the redundant check mechanism. The pause command sent is set as I and converted into a binary sequence B={b1,b2,…,b n , calculate the checksum S = ∑ i =1 n b i , and then send the instruction I and the checksum S together to the CT room control system. After receiving the instruction, the CT room control system recalculates the checksum and compares it with the received checksum. If they are consistent, the pause operation is executed, otherwise it requires the instruction to be sent again.

[0040] After receiving the trigger signal from the control unit, the alarm unit on the insulin pump side sends out an alarm prompt such as sound, vibration or light signal according to the intelligent adjustment algorithm (assuming that the ambient noise intensity is N, the basic volume of the sound alarm is V0, and the adjustment coefficient is α, then the actual alarm volume V=V0+αN). The patient removes the insulin pump in time according to the alarm prompt and stays away from strong magnetic field areas.

[0041] The central monitoring platform receives and processes information from each insulin pump terminal module and room terminal module in real time. It adopts a distributed data storage architecture to store the collected information in a distributed manner according to dimensions such as region, hospital department or patient group. Suppose the total data volume is D, which is divided into m data subsets D = {D1, D2, ..., D m}, each data subset is stored on a different storage node, and data is allocated and managed between storage nodes through a consistent hashing algorithm. When new data needs to be stored, the hash value h(d) of the data is calculated first (where d is the data to be stored), and then the consistent hashing algorithm is used to determine which storage node the data should be stored on. When an abnormal situation occurs, a notification message is sent to medical staff in a timely manner.

[0042] Effects brought about by this embodiment: Through the above series of processes, this embodiment utilizes the precise monitoring of the magnetic field sensing unit and the multi-sensor fusion algorithm to ensure accurate judgment of strong magnetic fields and strong radiation environments. The encryption and time division multiplexing technology of the wireless communication unit ensures the security and efficiency of information transmission. The signal enhancement and redundant verification mechanism at the CT room end improves the stability and reliability of the system. The intelligent adjustment of the alarm unit at the insulin pump end can effectively remind patients. The central monitoring platform (if any) facilitates centralized management and emergency response. The overall system effectively avoids the failure or damage of the insulin pump due to magnetic field interference, ensures the safety of patient treatment, reduces the risks caused by negligence of medical staff, improves the quality and efficiency of medical services, and optimizes the management and resource allocation of medical equipment.

[0043] Embodiment 2

[0044] In the outpatient examination area of ​​a large diabetes hospital, a diabetic patient had just finished other examinations and was about to go to the CT examination room next door for a chest CT scan. He was wearing an insulin pump. At this time, the wireless technology-based insulin pump safety reminder system began to operate to ensure the safe use of the insulin pump in a strong magnetic field and strong radiation environment.

[0045] Turn on the equipment at the insulin pump end and the CT room end. The magnetic field sensing unit at the insulin pump end starts and initializes the relevant parameters of the multi-sensor fusion algorithm, and collects the magnetic field data sequence M={m1,m2,…,m n} is ready for calculation, and each sensor is based on the distance d from the standard position point inside the insulin pump. i Determine the weight The control unit, wireless communication unit and alarm unit on the insulin pump end complete self-checking and initialization. The alarm unit sets the intelligent adjustment algorithm parameter V=V0+αN according to the ambient noise intensity N, the basic volume V0 and the adjustment coefficient α. The wireless receiving unit, processing unit and alarm unit on the CT room end are initialized. The adaptive signal enhancement algorithm of the wireless receiving unit is based on the signal strength R, the noise intensity n and the quality assessment factor After setting relevant parameters, the processing unit is connected to the CT room control system and the parameters of the pause command redundancy check mechanism are determined. Suppose the pause command I is converted into a binary sequence B = {b1, b2, ..., b n} and checksum S = ∑ i =1 n b i If there is a central monitoring platform, its distributed data storage architecture is divided into m data subsets D = {D1, D2, ..., D m} and completes the initialization of the communication connection with each end at the same time through the consistent hash algorithm management. The power management unit of the insulin pump end is based on the working priority P of p working components. i 、Current power required W i And the total power W t Setting the parameters of the intelligent power distribution algorithm

[0046] The magnetic field sensing unit at the insulin pump end continuously collects magnetic field data, and the collected magnetic field data sequence M is normalized according to the formula After processing, the weighted average algorithm The magnetic field strength value M is obtained by fusion f .

[0047] When M f When the preset threshold is exceeded, the control unit at the insulin pump end starts the wireless communication unit. The wireless communication unit uses the selected low-power short-range wireless communication technology and encrypts the insulin pump location information and magnetic field anomaly information based on the elliptic curve encryption principle and sends it to the wireless receiving unit at the CT room end. When encrypting, the sender's private key k is set, and the public key K=kG (G is the base point on the elliptic curve). The data m is mapped to the elliptic curve to get point P m , encrypted ciphertext C = (rG,P m +rK)(r is a random number), at the same time, the wireless communication between the insulin pump and the CT room is allocated with a channel according to the time division multiplexing technology, assuming that the communication time slot T = {t1, t2, ..., t m}, different communication tasks such as insulin pump location information transmission time slot t p , magnetic field anomaly information transmission time slot t m Etc., based on the total number of communication tasks k and weight w j Determine the time slot duration

[0048] The wireless receiving unit at the CT room end receives information. If the signal quality evaluation factor Q is lower than the threshold, the adaptive signal enhancement algorithm is started. The signal strength is enhanced by adjusting the receiving antenna gain G′=G+β(1-Q) and the signal filter parameter F′=F+γ(1-Q) for accurate reception. The processing unit parses the information to determine whether an insulin pump has entered the strong magnetic field area. If so, the alarm unit is activated to alarm and a pause command is sent to the CT room control system according to the redundant check mechanism. After receiving the command, the CT room control system recalculates the checksum and compares it. If they are consistent, the pause operation is executed, otherwise it is required to resend.

[0049] When triggered by the control unit, the insulin pump alarm unit adjusts the volume according to the ambient noise intensity using an intelligent adjustment algorithm to issue an alarm prompt. The patient removes the insulin pump based on the prompt and stays away from the CT room.

[0050] The central monitoring platform receives and processes information from all terminals in real time, stores information according to the distributed data storage architecture, and distributes data subsets D = {D1, D2, ..., D m} to different storage nodes. When new data is stored, the hash value h(d) is first calculated to determine the storage node. In case of abnormal situation, notification messages are sent to medical staff in time.

[0051] Effects brought about by this embodiment: In the outpatient examination scenario, this embodiment also uses the magnetic field sensing unit for precise monitoring and the multi-sensor fusion algorithm to ensure accurate magnetic field judgment. The encryption and time-division multiplexing technology of the wireless communication unit maintains safe and efficient information transmission. The signal enhancement and redundant verification mechanism at the CT room end improves the stability and reliability of the system. The intelligent adjustment of the alarm unit at the insulin pump end effectively reminds patients. The central monitoring platform (if any) assists in centralized management and emergency response. The system comprehensively ensures the safety of the insulin pump during outpatient CT, MRI, and X-ray examinations, avoids equipment failure or damage caused by magnetic field interference, reduces the risk of medical staff forgetting to remind due to busyness, improves the safety and efficiency of hospital outpatient diabetic patient examination services, optimizes equipment management and resource allocation, and provides patients with a better medical experience.

[0052] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the same elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. The insulin pump safety reminder system based on wireless technology is characterized by: The system comprises an insulin pump end module and a room end module; the insulin pump module is arranged on the insulin pump, and the room end module is arranged in a nuclear magnetic resonance room, a CT room or a hyperbaric oxygen chamber; The insulin pump terminal module includes: a magnetic field sensing unit, a control unit, a wireless communication unit and an alarm unit; The magnetic field sensing unit is used to detect the surrounding magnetic field strength. When the magnetic field strength exceeds a preset threshold, a trigger signal is sent to the control unit. The magnetic field sensing unit uses a multi-sensor fusion algorithm to collect and process magnetic field data. The collected magnetic field data sequence is defined as M = {m1, m2, ..., m n }, normalize the data, the normalization formula is where m′ i is the normalized data, min(M) and max(M) are the minimum and maximum values ​​in the magnetic field data sequence M, respectively. Then the normalized data is fused by the weighted average algorithm. The fusion formula is: Among them, M f is the magnetic field strength value after fusion, w i is the weight of the i-th sensor data, and ∑ i w i =1, when M f When the preset threshold is exceeded, it is determined that the area has entered a strong magnetic field and a trigger signal is sent to the control unit; The control unit is used to receive and process the trigger signal, and control the wireless communication unit and the alarm unit; The wireless communication unit sends the location information and magnetic field anomaly information of the insulin pump to the room-end module under the instruction of the control unit; The alarm unit deploys the alarm function according to the actual needs of the room. Once the insulin pump is brought to the door of the room equipped with the alarm module and the distance between the two is close enough, the control unit is triggered to issue an alarm prompt; The room-end module includes: a wireless receiving unit, a processing unit and an alarm unit; The wireless receiving unit is used to receive information sent by the insulin pump terminal module; The processing unit is used to analyze and process the received information, determine whether an insulin pump has entered the strong magnetic field area, and activate the alarm unit if so; The alarm unit is used to send out an alarm signal.

2. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The multi-sensor fusion algorithm in the magnetic field sensing unit determines the weight w i When , a distance-based dynamic weight allocation method is used to define the distance between the i-th sensor and the preset standard position point inside the insulin pump as d i , then the weight The reference point is a standard position point pre-set inside the insulin pump.

3. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The wireless communication unit adopts Bluetooth and Wi-Fi wireless communication technology, and uses an encryption algorithm to encrypt data during data transmission. The encryption algorithm is based on the elliptic curve encryption principle, defines the sender's private key as k, and the public key as K=kG, where G is a base point on the elliptic curve. The data m to be transmitted is first mapped to the elliptic curve to obtain point P m , and then calculate the encrypted ciphertext C = (rG, P m +rK), where r is a random number. After receiving the ciphertext C, the receiver uses his own private key k r Decryption, the decryption formula is P m =C2-k r C1, where C1 = rG, C2 = P m +rK.

4. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The system also includes a central monitoring platform, which is wirelessly connected to multiple insulin pump end modules and room end modules for real-time collection, storage, analysis and management of information, and sends notification messages to medical staff in abnormal situations. The central monitoring platform adopts a distributed data storage architecture to store the collected information in a distributed manner according to regions, hospital departments and patient groups. The total data volume is defined as D, which is divided into m data subsets D = {D1, D2, ..., D m }, each data subset is stored on a different storage node, and data is allocated and managed between storage nodes through a consistent hashing algorithm. When new data needs to be stored, the hash value h(d) of the data is calculated first, where d is the data to be stored, and then the consistent hashing algorithm is used to determine which storage node the data should be stored on.

5. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The alarm unit of the insulin pump end module emits sound, vibration and light signal alarm prompts, and the alarm parameters are adjustable. The alarm unit adopts an intelligent adjustment algorithm, defines the ambient noise intensity as N, the basic volume of the sound alarm as V0, and the adjustment coefficient as α, then the actual alarm volume V=V0+αN.

6. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The processing unit of the room-side module can be connected to the control system of the room-side to suspend the CT scanning operation. After determining that an insulin pump has entered the strong magnetic field area, the processing unit sends a pause instruction to the CT room control system. The redundant check mechanism is adopted, and the pause instruction sent is defined as I, which is converted into a binary sequence B = {b1, b2, ..., b n }, calculate the checksum Then the instruction I and the checksum S are sent to the CT room control system. After receiving the instruction, the CT room control system recalculates the checksum and compares it with the received checksum. If they are consistent, a pause operation is executed, otherwise the instruction is required to be resent.

7. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The insulin pump terminal module also includes a power management unit, which uses an intelligent power distribution algorithm to define that the insulin pump has p working components, and the working priority of the i-th component is P. i , the current power required is W i , the total power is W t , then the power allocated to the i-th component 8. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The wireless receiving unit of the room-end module adopts an adaptive signal enhancement algorithm, defining the received signal strength as R, the noise strength as n, and the signal quality evaluation factor as When Q is lower than the preset quality threshold, the adaptive signal enhancement algorithm is started. The algorithm enhances the signal strength by adjusting the gain G of the receiving antenna and the parameter F of the signal filter. The adjustment formula is G′=G+β(1-Q), where β is the gain adjustment coefficient, and F′=F+γ(1-Q), where γ is the filter parameter adjustment coefficient.

9. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The wireless communication between the insulin pump end module and the room end module uses time division multiplexing technology to allocate channels, dividing the communication time into multiple time slots T = {t1, t2, ..., t m }, each time slot is assigned to a different communication task, including the insulin pump location information transmission time slot t p , magnetic field anomaly information transmission time slot t m , define the total number of communication tasks as k, then the duration of each time slot is where w j is the weight of the jth communication task and 10. The insulin pump safety reminder system based on wireless technology according to claim 1, characterized in that: The control unit of the insulin pump terminal module uses a fault self-diagnosis algorithm when processing the trigger signal of the magnetic field sensing unit to define the magnetic field sensing unit within a period of time T. s The number of trigger signals sent within is n s , the normal triggering threshold is n t , if n s >n t , the control unit starts the fault self-diagnosis program, which first checks the sensor connection status of the magnetic field sensing unit, and determines whether the connection is normal by sending a detection pulse signal and receiving a feedback signal. If the connection is normal, the calibration parameters of the sensor are checked and corrected. The calibration parameters of the sensor are defined as λ={λ1,λ2,…,λ q }, by comparing with the preset standard calibration parameter λ s ={λ s1 ,λ s2 ,…,λ sq } for comparison and calculation of the deviation Δλ i =λ i -λ si , |Δλ i |If the deviation exceeds the allowable range, the calibration parameters are corrected. The correction formula is λ′ i =λ si +αΔλ i , where α is the correction coefficient.

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