A method and system for identifying entry and exit directions of medical facilities

Abstract

The present application discloses a method and system for identifying the entry and exit directions of a medical facility area. The method and system receive recognition results from a passive positioning tag, record the reception time, construct a state recognition sequence according to the chronological order of the recognition results, and calculate the weight parameters of the current recognition result and the previous recognition result. The method and system then determines whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameters of the previous recognition result. If abnormal, the previous recognition result is adjusted to the opposite recognition result. The method and system also determine the entry and exit directions of personnel or materials at the entrance and exit of the area based on the weight parameters and chronological order of the recognition results. The method and system for identifying the entry and exit directions of a medical facility area provided by the present invention eliminates the need to construct a long entry and exit path, enables the passive positioning tag to determine the entry and exit direction of the area entrance and exit (e.g., door) without the need to construct a long entry and exit path, and provides reliable judgment results.

Description

Technical Field

[0001] The present application belongs to the technical field of entry and exit area identification, and specifically relates to a method and system for identifying entry and exit directions of a medical facility area. Background Art

[0002] Many specialized industries, such as the medical industry, require regional entry and exit determination and location management for personnel or critical supplies. To meet the actual needs of hospitals, passive positioning tags are often used to achieve location management of personnel or supplies.

[0003] Among the existing passive positioning tag solutions, most are presence positioning, which cannot determine the direction of entry and exit, nor can it determine the trajectory. There are a few solutions that can simply determine the trajectory. Figure 1 An existing method for simply determining trajectories is shown. This solution offsets the shortcomings of the technology itself by setting a longer path in and out of the area. It is suitable for path detection in long aisles and cannot meet the requirements for determining the entry and exit directions at the entrance and exit of the area (especially doors).

[0004] Some solutions on the market use signal strength to detect the entry and exit of objects, but these methods often suffer from significant errors in practice. The main reasons are as follows: Passive positioning tags rely on signal excitation to generate energy for transmission, so the radiated signal is relatively weak, making the signal emitted by passive positioning tags very susceptible to interference. For example, in scenarios where a person wears a tag, the tag's position and antenna direction constantly change as the person moves. This results in a non-linear relationship between changes in signal strength and changes in the tag's position.

[0005] Currently, most solutions that can meet the needs of determining entry and exit directions and trajectories use active tags. These tags are expensive, bulky, and have high maintenance costs. Especially for emergency scenarios, it is impossible for emergency patients to wear such tags for rescue, which does not meet the actual usage scenario needs of hospitals.

[0006] Therefore, it is necessary to improve the prior art to overcome the above defects. Summary of the Invention

[0007] Therefore, the present application aims to solve the technical problem that the existing technology cannot identify the entry and exit directions of the area through passive positioning tags.

[0008] To solve the above technical problems, the present application provides a method for identifying the entry and exit directions of a medical facility area, comprising:

[0009] The receiving antenna module obtains the identification result of the passive positioning tag and records the reception time; wherein the passive positioning tag is worn on the person or material to be located, and the antenna module is set at the entrance and exit of the area, including a first antenna for radiating within the area and a second antenna for radiating outside the area;

[0010] Constructing a state recognition sequence according to the time sequence of the recognition results; wherein, the state corresponding to the recognition result of the passive positioning tag recognized by the first antenna is within the area, and the state corresponding to the recognition result of the passive positioning tag recognized by the second antenna is outside the area;

[0011] Calculating the time difference between the current recognition result and the previous recognition result, and calculating the weight parameters of the current recognition result and the previous recognition result based on the time difference;

[0012] If there are recognition results before and after the previous recognition result, determine whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameter of the previous recognition result. If abnormal, adjust the previous recognition result to the opposite recognition result;

[0013] The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the weight parameters and time sequence of the recognition results.

[0014] In one embodiment, the calculating of the weight parameters of the current recognition result and the previous recognition result according to the time difference includes:

[0015] Calculate the weight parameter increment, where the weight parameter increment calculation formula is:

[0016] △N i =[(T i -T i-1 ) / 2k], where T i is the acquisition time of the current recognition result, T i-1 is the acquisition time of the last recognition result, k is the time step, △N i Equal to (T i -T i-1 ) / 2k;

[0017] The weight parameters of the current recognition result and the previous recognition result are respectively added to the weight parameter increment △Ni to obtain the updated recognition result weight parameters, wherein the initial weight parameter of each recognition result is 1.

[0018] In one embodiment, the determining whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and two adjacent recognition results and the weight parameter of the previous recognition result includes:

[0019] Determine whether the corresponding status of the previous recognition result is consistent with the corresponding status of the two adjacent recognition results;

[0020] If the corresponding states of the previous recognition result and the two adjacent recognition results are inconsistent, the weight parameters of the two adjacent recognition results are added to obtain the sum of adjacent weights, and the weight parameter of the previous recognition result is compared with the sum of adjacent weights;

[0021] If the weight parameter of the previous recognition result is less than the sum of adjacent weights, the previous recognition result is judged to be abnormal.

[0022] In one embodiment, determining the entry and exit direction of personnel or materials at an area entrance or exit based on the weight parameters and time sequence of the recognition results includes:

[0023] The weight parameters of the recognition results that are adjacent in time and in the same state are added together to obtain a total state weight parameter; wherein the total state weight parameter includes a total state weight parameter within the region and a total state weight parameter outside the region;

[0024] The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the time sequence of the appearance of the total state weight parameter within the area and the total state weight parameter outside the area.

[0025] The method further comprises:

[0026] The entry and exit time of personnel or materials at the entrance and exit of the area is determined according to the jump time of the total state weight parameter within the area and the total state weight parameter outside the area.

[0027] In one embodiment, the medical site includes multiple areas, each area includes an area entrance and exit, and the method further includes:

[0028] Determine the route trajectory of personnel or materials in medical facilities based on the entry and exit directions and time of each area's entrances and exits.

[0029] In addition, the present invention also provides a medical facility area entry and exit direction recognition system, comprising:

[0030] Passive positioning tags are suitable for wearing on personnel or materials that need to be located;

[0031] An antenna module, which wirelessly communicates with the passive positioning tag; wherein the antenna module is arranged at the entrance and exit of the area, and includes a first antenna for radiating within the area and a second antenna for radiating outside the area;

[0032] an identification processor, communicatively connected to the antenna module, configured to receive an identification result of the passive positioning tag acquired by the antenna module and record a reception time; wherein the first antenna identifies that the identification result of the passive positioning tag corresponds to a state of being within the area, and the second antenna identifies that the identification result of the passive positioning tag corresponds to a state of being outside the area;

[0033] The recognition processor is further configured to:

[0034] Constructing a state recognition sequence according to the time sequence of the recognition results;

[0035] Calculating the time difference between the current recognition result and the previous recognition result, and calculating the weight parameters of the current recognition result and the previous recognition result based on the time difference;

[0036] If there are recognition results before and after the previous recognition result, determine whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameter of the previous recognition result. If abnormal, adjust the previous recognition result to the opposite recognition result;

[0037] The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the weight parameters and time sequence of the recognition results.

[0038] In one embodiment, the recognition processor is further configured to:

[0039] Calculate the weight parameter increment, where the weight parameter increment calculation formula is:

[0040] △Ni=[(Ti-Ti-1) / 2k], where Ti is the time when the current recognition result is obtained, Ti-1 is the time when the previous recognition result is obtained, k is the time step, and △Ni is equal to the integer part of (Ti-Ti-1) / 2k;

[0041] The weight parameters of the current recognition result and the previous recognition result are respectively added to the weight parameter increment △Ni to obtain the updated recognition result weight parameters, wherein the initial weight parameter of each recognition result is 1.

[0042] In one embodiment, the recognition processor is further configured to:

[0043] Determine whether the corresponding status of the previous recognition result is consistent with the corresponding status of the two adjacent recognition results;

[0044] If the corresponding states of the previous recognition result and the two adjacent recognition results are inconsistent, the weight parameters of the two adjacent recognition results are added to obtain the sum of adjacent weights, and the weight parameter of the previous recognition result is compared with the sum of adjacent weights;

[0045] If the weight parameter of the previous recognition result is less than the sum of adjacent weights, the previous recognition result is judged to be abnormal.

[0046] In one embodiment, the identification processor is further configured to:

[0047] The weight parameters of the recognition results that are adjacent in time and in the same state are added together to obtain a total state weight parameter; wherein the total state weight parameter includes a total state weight parameter within the region and a total state weight parameter outside the region;

[0048] The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the time sequence of the appearance of the total state weight parameter within the area and the total state weight parameter outside the area.

[0049] The technical solution provided in this application has the following advantages:

[0050] The method and system for identifying the entry and exit directions of an area provided by the present invention do not require the construction of a long entry and exit path, and can realize entry and exit direction judgment of a passive positioning tag at an area entrance and exit (such as a door), with reliable judgment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0052] Figure 1 This is a schematic diagram of the principle of the prior art of relying on long paths in and out of the area to achieve area entry and exit direction identification;

[0053] Figure 2 A schematic diagram of a module of a medical facility area entry and exit direction recognition system provided by an embodiment of the present invention;

[0054] Figure 3 A schematic diagram of the coverage of antenna modules under a horizontal viewing angle in a system for identifying entry and exit directions of a medical facility provided by an embodiment of the present invention;

[0055] Figure 4 A schematic diagram of the signal radiation range from a top-down perspective of a medical facility entry and exit direction recognition system provided by an embodiment of the present invention;

[0056] Figure 5 A schematic diagram of a simple module of a medical facility entry and exit direction recognition system provided by one embodiment of the present invention;

[0057] Figure 6 A flowchart of a method for identifying entry and exit directions of a medical facility area provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The technical solutions of the present application will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present application, not all embodiments. The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other unless there is a conflict.

[0059] It should be noted that the terms "first", "second", etc. in the description and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0060] In this application, unless otherwise specified, directional words such as "up, down, top, bottom" are usually used with reference to the directions shown in the drawings, or with reference to the components themselves in the vertical, perpendicular or gravity direction; similarly, for ease of understanding and description, "inside and outside" refer to the inside and outside relative to the outline of each component itself, but the above directional words are not used to limit this application.

[0061] Example 1

[0062] This embodiment provides a system for identifying the entry and exit directions of personnel or materials entering and exiting a medical facility. In medical settings, a "zone" typically refers to a ward, emergency room, examination room, or other location where personnel or material entry and exit must be monitored. To meet the actual positioning needs of hospitals, passive positioning tags are used to monitor and manage the entry and exit of personnel and materials.

[0063] It should be noted that "area" is understood to be a range enclosed by an isolation barrier, with one or more gaps in the isolation barrier to form "area entrances and exits" for people or materials to enter and leave the area. In other words, the "area entrances and exits" are formed by the gaps in the isolation barrier, constituting entrances and exits from outside the area to inside the area or from inside the area to outside the area. Usually, the isolation barrier is a wall, and the gap is a door or a pass without a door. It can be understood that the above-mentioned "area entrances and exits" are located at the isolation barriers inside and outside the area, and are the ports for entering and exiting the area. The path length is determined by the thickness of the regional isolation barrier. Since the thickness of the isolation barrier is limited, the path length of the regional entrance and exit is usually short.

[0064] However, in the current passive positioning solutions, due to the short paths of regional entrances and exits, most of the regional entrances and exits are located at the presence level, and it is impossible to determine the entry and exit direction, let alone the trajectory. Figure 1The figure shows an existing method for simply determining trajectories. This method offsets the shortcomings of the technology itself by setting a longer path for entry and exit. It is suitable for detecting entry and exit paths in long aisles, but cannot meet the requirements for determining the entry and exit directions of entrances and exits in areas with short path lengths.

[0065] Some solutions on the market use signal strength to detect the entry and exit of objects, but these methods often suffer from significant errors in practice. The main reasons are as follows: Passive positioning tags rely on signal excitation to generate energy for transmission, so the radiated signal is relatively weak, making the signal emitted by passive positioning tags very susceptible to interference. For example, in scenarios where a passive positioning tag is worn by a person, its position and antenna direction constantly change as the person moves. This results in a non-linear relationship between changes in signal strength and changes in the tag's position.

[0066] In medical facilities, there is an urgent need to identify the entry and exit directions of areas. This is especially true in emergency scenarios, where passive positioning tags only stay at the entrances and exits for a very short time, posing a greater challenge to identifying the entry and exit directions.

[0067] In order to solve the above problems, the present application provides a medical facility area entry and exit direction identification system. Figure 2 This is a module diagram of a system for identifying entry and exit directions of medical facilities provided by an embodiment of the present invention. Figure 3 A schematic diagram of the antenna module coverage range under a horizontal viewing angle of the medical facility area entry and exit direction recognition system provided by an embodiment of the present invention. Figure 4 This is a schematic diagram of the signal radiation range from a bird's-eye view of the medical facility entry and exit direction recognition system provided by an embodiment of the present invention. Figure 2 、 Figure 3 and Figure 4 The direction identification system for the entrance and exit of a medical facility area provided in this embodiment includes a passive positioning tag 3, an antenna module (1, 2) and an identification processor 5 that is communicatively connected to the antenna module.

[0068] The passive positioning tag 3 is suitable for being worn on a person or material that needs to be located, and the antenna module (1, 2) wirelessly communicates with the passive positioning tag 3. Specifically, the passive positioning tag 3 is a UHF RFID (Ultra High Frequency Radio Frequency Identification), also known as an ultra-high frequency electronic tag in Chinese. UHF RFID technology is an electronic tag technology that uses ultra-high frequency radio signals for communication. The UHF band RFID system has the characteristics of fast reading and writing speed, large storage capacity, long identification distance, low cost, and small size. UHF band RFID technology operates in the frequency range of 1 GHz to 3 GHz. Compared with low-frequency and high-frequency RFID systems, UHF RFID has a longer reading distance and higher data transmission rate.

[0069] The antenna module is set at the entrance and exit of the area A, and includes a first antenna 1 for radiating within the area and a second antenna 2 for radiating outside the area. The first antenna 1 and the second antenna 2 both have effective coverage areas. In the specific implementation scenario, please refer to Figure 3 The antenna module has a maximum single-sided radiation angle β of 60 degrees, as per a standard ceiling antenna. The ceiling height H in a hospital setting is generally between 2.5m and 3m, so this is calculated based on a maximum height of H = 3m. The height h of the passive positioning tag 3 worn by personnel or supplies is calculated as 0.5m. The coverage radius R of the antenna module is (3-0.5) / cot60° = 4.3m, which means the antenna coverage path length within and outside the area is approximately 8.6m. If a person or supply normally walks through the entrance and exit of the area at a speed of 1.5m / s, the maximum duration of normal movement within the antenna module's coverage area is approximately 6s. In an emergency rescue scenario, the speed is 3m / s, and the maximum duration of normal movement within the antenna module's coverage area is only approximately 3s, resulting in a very short period of time for the passive positioning tag 3 to remain within the antenna module's effective coverage area.

[0070] Figure 4 The figure shows the coverage of the antenna module from a top-down perspective. The solid lines indicate the effective coverage areas (also called effective radiation areas) of the first antenna 1 and the second antenna 2, respectively. In this embodiment, the first antenna 1 and the second antenna 2 are both ceiling-mounted antennas, mounted on top of the entrance / exit A of the area, radiating vertically downward. Their radiation range is conical. The effective coverage area is described above regarding the coverage radius of the antenna module and will not be further elaborated here. From a top-down view, the effective coverage area of ​​the first antenna 1 is roughly the solid circle centered on the first antenna 1, and the effective coverage area of ​​the second antenna 2 is roughly the solid circle centered on the second antenna 2.

[0071] Since the passive positioning tag 3 requires external stimulation to transmit the response signal, the effective coverage range of the passive positioning tag 3 is very small. In order to increase the number of times it is recognized in a short time, the passive positioning tag is an ultra-high frequency tag (UHF RFID), which has ultra-high frequency band characteristics. Its response signal has strong wall penetration and signal reflection capabilities, resulting in the antenna module expanding many unstable coverage areas outside the original effective coverage range (such as Figure 4 As a result, the actual coverage areas of different antenna modules overlap, making it more difficult to identify the entry and exit directions of the area.

[0072] It should be noted that when the passive positioning tag 3 is in the effective coverage area of ​​the first antenna 1, the probability of the passive positioning tag 3 being recognized by the first antenna 1 is higher than the probability of being recognized by the second antenna 2. When the passive positioning tag 3 is in the effective coverage area of ​​the second antenna 2, the probability of the passive positioning tag 3 being recognized by the second antenna 2 is higher than the probability of being recognized by the first antenna 1.

[0073] The identification processor 5 is communicatively connected to both the first antenna 1 and the second antenna 2. The identification processor 5 is configured to receive the identification results from the first antenna 1 and the second antenna 2 and record the time of receipt. The identification result corresponding to the passive positioning tag 3 being identified by the first antenna 1 is "in-area," while the identification result corresponding to the passive positioning tag 3 being identified by the second antenna 2 is "out-area." The identification processor 5 can determine the entry and exit direction of the passive positioning tag 3 at the entrance or exit of the area based on the identification results and the time sequence.

[0074] In a specific implementation, the identification processor 5 is used to perform the following steps:

[0075] Construct a state recognition sequence according to the time sequence of the recognition results;

[0076] Calculate the time difference between the current recognition result and the previous recognition result, and calculate the weight parameters of the current recognition result and the previous recognition result based on the time difference;

[0077] If there are recognition results before and after the previous recognition result, determine whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameter of the previous recognition result. If abnormal, adjust the previous recognition result to the opposite recognition result;

[0078] The entry and exit directions of personnel or materials at the entrance and exit of the area are determined based on the weight parameters and time sequence of the recognition results.

[0079] Specifically, the identification processor 5 controls the antenna module to emit high-frequency electromagnetic waves (radio waves) to illuminate the passive positioning tag (UHF RFID). After the antenna of the passive positioning tag 3 receives the electromagnetic waves, it absorbs part of the energy and converts it into direct current for use by its chip. The chip modulates the data to be sent onto the reflected electromagnetic waves and sends it back to the identification processor 5. After receiving the reflected electromagnetic waves, the identification processor 5 can identify the model of the receiving antenna module through demodulation and decoding, thereby determining which antenna module (first antenna 1 or second antenna 2) the passive positioning tag 3 is located within its coverage range.

[0080] When a person or material wearing a passive positioning tag 3 passes through area entrance / exit A, the direction of travel of the person or material wearing the passive positioning tag 3 is determined by collecting and processing the path data recognition results of the passive positioning tag 3. In a specific simulation implementation, the recognition processor 5 sequentially receives the recognition results of multiple antenna modules. The first recognition result received is numbered 0, the second is numbered 1, and so on, in the order in which the recognition results are received. A total of eight path data recognition results are received. See Table 1.

[0081] Table 1. Path data identification results of regional imports and exports

[0082]

[0083] As can be seen from Table 1, the first column of data corresponds to the recognition result of number 0, the second column of data corresponds to the recognition result of number 1, the third column of data corresponds to the recognition result of number 2, and so on, and the eighth column of data corresponds to the recognition result of number 7. The second row of Table 1 shows the antenna identifier, 0 indicates that the first antenna 1 recognizes the passive positioning tag 3, and 1 indicates that the second antenna 2 recognizes the passive positioning tag 3. The third row of Table 1 shows the time when the corresponding recognition result was received, calculated in milliseconds.

[0084] According to the received antenna module identification, if the antenna identification is 0, it means that the passive positioning tag is in the area; if the antenna identification is 1, it means that the passive positioning tag is outside the area, thereby realizing the identification of the state of the passive positioning tag 3 inside and outside the area, and obtaining Table 2 after identification.

[0085] Table 2. Regional import and export path data identification results and regional internal and external status table

[0086]

[0087] As previously mentioned, the antenna module's coverage area has unstable coverage areas, and the recognition result status may be erroneous. To reduce the adverse impact of abnormal recognition results on the determination of area entry and exit directions, the method provided in this embodiment adds weight parameter calculation for each recognition result. Specifically, the time difference between the current recognition result and the previous recognition result is calculated, and the weight parameters of the current and previous recognition results are calculated based on this time difference.

[0088] In specific implementation, the initial weight parameter of each recognition result is 1, and the weight parameter of the recognition result is calculated in the following manner, including:

[0089] Calculate the weight parameter increment △Ni based on the time difference between the current recognition result and the previous recognition result;

[0090] The weight parameters of the current recognition result and the previous recognition result are added to the weight parameter increment △Ni respectively to obtain the updated recognition result weight parameters, where the initial weight parameter of each recognition result is 1.

[0091] Specifically, the calculation formula for the weight parameter increment △Ni is:

[0092] △Ni=[(Ti-Ti-1) / 2k], where Ti is the time when the current recognition result is obtained, Ti-1 is the time when the previous recognition result is obtained, k is the time step, and △Ni is equal to the integer part of (Ti-Ti-1) / 2k.

[0093] Specifically, k is 100ms. Taking the recognition results 0 and 1 as examples, T1=35s537ms, T0=34s972ms, △N 01 =[(T1-T0) / 2k]=3. For the recognition results 0 and 1, the weight parameter increment △N 01 The initial weight is added to the weight parameter increment to get the updated weight parameter. Since there is no recognition result in front of 0, and there are recognition results on both sides of the recognition result in the middle, in order to balance the weight parameters of the edge recognition results, △N is also added in front of the recognition result 0. 01 , so we get N0=1+3+3=7, N1=1+3=4; where 1 is the initial weight parameter. When the recognition result of No. 2 is obtained, T2=36s066ms, T1=35s537ms, △N 12 =[(T2-T1) / 2k]=2. Therefore, the weight parameter increment of the recognition results of No. 1 and No. 2 is N 12=2. Add the initial weight and the weight parameter increment, N1=4+2=6, where 4 is the initial weight of the recognition result No. 1 updated in the above calculation; the weight parameter of the recognition result No. 2 is N2=1+2=3, where 1 is the initial weight of the recognition result No. 2. Continue to obtain the recognition result No. 3, T3=37s756ms, △N 23 =[(T3-T2) / 2k]=8, that is, the weight parameter increment for recognition results 2 and 3 is 8. Adding the initial weight to the weight parameter increment, the weight parameter N2 for recognition result 2 is N2=3+8=11, and the weight parameter N3 for recognition result 3 is N3=1+8=9.

[0094] The weight parameters for each recognition result are calculated sequentially using the above method. For the last recognition result, the same strategy as for recognition result 0 is applied, with the weight parameter increment added twice. This yields the weight parameters for each recognition result. In other embodiments, the weight parameter increments can be omitted for the recognition results at both ends, with only a single increment added. This means that N0 = 4 and N7 = 4. Experimental verification has shown that this does not affect the accuracy of entry and exit direction recognition.

[0095] For the recognition result centered in the center, a preliminary determination of whether its state is abnormal can be made based on its consistency with the adjacent recognition results on both sides. In specific implementations, if there are recognition results before and after the previous recognition result, the abnormality of the previous recognition result is determined based on the consistency relationship between the previous recognition result and the two adjacent recognition results, as well as the weight parameter of the previous recognition result. Specifically, after obtaining the third recognition result (corresponding to number 2), the second recognition result (corresponding to number 1) has recognition results before and after it, namely the first recognition result (corresponding to number 0) and the third recognition result (corresponding to number 2). The consistency of the state corresponding to the current second recognition result with the first and third recognition results is determined separately. If none of them are consistent, it is considered that the states before and after the second recognition result have changed dramatically. As shown in Table 2, the states of the first three recognition results correspond to inside, outside, and inside, respectively. The state of the second recognition result is inconsistent with the states of the first two recognition results. In this case, the abnormality of the second recognition result is further determined based on the weight parameter of the recognition results. If abnormal, the state corresponding to the second recognition result is adjusted to the opposite state, that is, the state corresponding to the second recognition result is set to inside, referred to as "setting inside."

[0096] In specific implementation, the recognition processor determines whether the previous recognition result is abnormal through the following steps: determine whether the corresponding state of the previous recognition result is consistent with that of the two adjacent recognition results; if the corresponding state of the previous recognition result is inconsistent with that of the two adjacent recognition results, add the weight parameters of the two adjacent recognition results to obtain the sum of the adjacent weights, and compare the weight parameter of the previous recognition result with the sum of the adjacent weights; if the weight parameter of the previous recognition result is less than the sum of the adjacent weights, then the previous recognition result is determined to be abnormal. For example, taking recognition result No. 1 as an example, if the state of recognition result No. 1 is inconsistent with the state of the two adjacent recognition results, and the weight parameter of recognition result No. 1 is less than the sum of the weights of No. 0 and No. 1, then recognition result No. 1 is determined to be abnormal and recognition result No. 1 is "placed inside".

[0097] In turn, the recognition results obtained subsequently are all verified according to the above method, and if there is an abnormality, the opposite state is set. In this embodiment, please refer to Figure 3 ,The abnormal recognition results also include recognition result No. 5, which is “excluded” after correction.

[0098] After processing all the recognition results through the above exceptions, the corrected recognition result table is obtained, which can be seen in Table 3 below. Using the corrected data in Table 3 to further identify the entry and exit directions of people or materials can reduce the impact of abnormal recognition results on the judgment of the entry and exit directions of the area.

[0099] Table 3. Correction status and weight parameter table of regional import and export path data identification results

[0100]

[0101] After obtaining the corrected recognition result, the recognition processor 5 determines the entry and exit direction of the personnel or materials at the regional entrance and exit based on the weight parameters and time sequence of the recognition results. In specific implementation, the recognition processor 5 realizes the judgment of the entry and exit direction in the following way: the weight parameters of the recognition results that are adjacent in time and have the same state are added to obtain the total state weight parameter. Please refer to Table 4, which shows the correction state and weight statistics of the path data recognition results of the regional entrance and exit. Among them, the total state weight parameter includes the total state weight parameter within the region and the total state weight parameter outside the region. The entry and exit direction of the personnel or materials at the regional entrance and exit is determined according to the time sequence of the appearance of the total state weight parameter within the region and the total state weight parameter outside the region.

[0102] Specifically, the total state parameter statistics within the area is 24, and the total state parameter statistics outside the area is 38. The time of the total state parameter within the area is earlier than the time corresponding to the total state parameter outside the area. Therefore, the moving direction of the passive positioning tag 3 is from within the area to outside the area.

[0103] Table 4 Correction status and weight statistics of regional import and export path data identification results

[0104]

[0105] In some embodiments, the identification processor is further configured to determine the entry and exit times of personnel or materials at the entrance and exit of the region based on the transition times of the total state weight parameters within the region and the total state weight parameters outside the region. Specifically, please refer to Parameter Table 4. A transition between the total state parameters within the region and the total state parameters outside the region in recognition results No. 2 and No. 3 indicates a change in the internal and external states of the personnel or materials between the corresponding recognition results No. 2 and No. 3. Thus, the time at which the personnel or materials are identified to enter or exit the region is the moment corresponding to recognition result No. 2, i.e., the personnel or materials left the supervised area at 36s066 milliseconds.

[0106] In actual medical facilities, there are usually multiple areas, and even a single area has multiple entrances and exits. To obtain a more comprehensive route trajectory of personnel or supplies, please refer to Figure 5 In a specific implementation, the identification processor 5 is also used to determine the route trajectory of personnel or materials in the medical facility according to the entry and exit directions and entry and exit times of each area entrance and exit. Figure 5 The area shown includes a total of 3 area entrances and exits, namely area entrance and exit A, area entrance and exit B, and area entrance and exit C. Each area entrance and exit is provided with an inner antenna and an outer antenna. The inner antenna is used for radiating within the area, and the outer antenna is used for radiating outside the area. Among them, the inner antenna of area entrance and exit A is the first antenna 1, and the outer antenna of area entrance and exit 2 is the second antenna 2. For relevant contents of the antenna module and identification processor of area entrance and exit A, please refer to the above embodiments. Similarly, area entrance and exit B and area entrance and exit C have the same antenna modules, identification processors and their functions as area entrance and exit A, and will not be repeated here. Medical places may include multiple Figure 5 For the area shown, the above method can be used to identify the entry and exit directions and entry and exit times of personnel and materials at the entrance and exit of each area, thereby determining the route trajectory of personnel or materials wearing passive positioning tags in medical facilities.

[0107] It should be noted that the inner antenna may include one first antenna or multiple first antennas; the outer antenna may include one second antenna or multiple second antennas, which is not limited here.

[0108] The medical facility area entry and exit direction recognition system provided in this embodiment processes the recognition signal of the antenna module through the recognition processor 5, and can realize the entry and exit direction detection of the area entrance and exit, without the need to establish a long channel entry and exit path. It has a wide range of applications and does not require additional hardware equipment. After experimental verification, the accuracy rate is as high as 99%.

[0109] Example 2

[0110] The present application also provides a method for identifying the direction of entry and exit of a medical facility area, which corresponds to the system for identifying the direction of entry and exit of a medical facility area described in the above embodiment. For the purpose of brevity of description, the functions corresponding to the functional components are referred to in part in Example 1 and will not be repeated in this embodiment.

[0111] See Figure 6 As shown, the identification method includes the following steps when implemented:

[0112] S10: receiving the identification result of the passive positioning tag obtained by the antenna module and recording the receiving time;

[0113] The passive positioning tag is worn on the person or material to be positioned. Figure 2 As shown, the antenna module is set at the entrance and exit of the area A, including a first antenna 1 for radiating within the area and a second antenna 2 for radiating outside the area. The identification processor 5 is in communication with the antenna module and is used to receive the identification result of the passive positioning tag 3 and record the reception time.

[0114] S20: Constructing a state recognition sequence according to the time sequence of the recognition results;

[0115] The identification processor 5 is in communication with both the first antenna 1 and the second antenna 2, and is configured to read identification data from the first antenna 1 and the second antenna 2. The first antenna 1 identifies the passive positioning tag 3 as being in-area, and the second antenna 2 identifies the passive positioning tag 3 as being out-of-area.

[0116] S30: Calculating the time difference between the current recognition result and the previous recognition result, and calculating the weight parameters of the current recognition result and the previous recognition result according to the time difference;

[0117] S40: If there are recognition results before and after the previous recognition result, determine whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameter of the previous recognition result. If abnormal, adjust the previous recognition result to the opposite recognition result;

[0118] S50: Determine the entry and exit directions of personnel or materials at the entrance and exit of the area according to the weight parameters and time sequence of the recognition results.

[0119] When a person or material wearing a passive positioning tag 3 passes through area entrance / exit A, the direction of travel of the person or material wearing the passive positioning tag 3 is determined by collecting and processing the path data recognition results of the passive positioning tag 3. The relevant functions of the recognition processor can be found in Example 1 and will not be repeated here.

[0120] In one embodiment, the calculating of the weight parameters of the current recognition result and the previous recognition result according to the time difference includes:

[0121] Calculate the weight parameter increment, where the weight parameter increment calculation formula is:

[0122] △N i =[(T i -T i-1 ) / 2k], where T i is the acquisition time of the current recognition result, T i-1 is the acquisition time of the last recognition result, k is the time step, △N i Equal to (T i -T i-1 ) / 2k;

[0123] The weight parameters of the current recognition result and the previous recognition result are respectively increased by the weight parameter increment △N i Add up to get the updated recognition result weight parameter.

[0124] In one embodiment, the determining whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and two adjacent recognition results and the weight parameter of the previous recognition result includes:

[0125] Determine whether the corresponding status of the previous recognition result is consistent with the corresponding status of the two adjacent recognition results;

[0126] If the corresponding states of the previous recognition result and the two adjacent recognition results are inconsistent, the weight parameters of the two adjacent recognition results are added to obtain the sum of adjacent weights, and the weight parameter of the previous recognition result is compared with the sum of adjacent weights;

[0127] If the weight parameter of the previous recognition result is less than the sum of adjacent weights, the previous recognition result is judged to be abnormal.

[0128] In one embodiment, determining the entry and exit direction of personnel or materials at an area entrance or exit based on the weight parameters and time sequence of the recognition results includes:

[0129] The weight parameters of the recognition results that are adjacent in time and in the same state are added together to obtain a total state weight parameter; wherein the total state weight parameter includes a total state weight parameter within the region and a total state weight parameter outside the region;

[0130] The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the time sequence of the appearance of the total state weight parameter within the area and the total state weight parameter outside the area.

[0131] In one embodiment, the method further comprises:

[0132] The entry and exit time of personnel or materials at the entrance and exit of the area is determined according to the jump time of the total state weight parameter within the area and the total state weight parameter outside the area.

[0133] In one embodiment, the medical site includes a plurality of areas, each area includes an area entrance and exit, and the method further includes:

[0134] Determine the route trajectory of personnel or materials in medical facilities based on the entry and exit directions and time of each area's entrances and exits.

[0135] Obviously, the embodiments described above are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, ordinary technicians in this field can make other different forms of changes or modifications without making any creative work, which should fall within the scope of protection of this application.

Claims

1. A method for identifying the entry and exit directions of a medical facility, characterized in that: include: The receiving antenna module obtains the identification result of the passive positioning tag and records the reception time; wherein the passive positioning tag is worn on the person or material to be located, and the antenna module is set at the entrance and exit of the area, including a first antenna for radiating within the area and a second antenna for radiating outside the area; Constructing a state recognition sequence according to the time sequence of the recognition results; wherein, the state corresponding to the recognition result of the passive positioning tag recognized by the first antenna is within the area, and the state corresponding to the recognition result of the passive positioning tag recognized by the second antenna is outside the area; Calculating the time difference between the current recognition result and the previous recognition result, and calculating the weight parameters of the current recognition result and the previous recognition result based on the time difference; If there are recognition results before and after the previous recognition result, determine whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameter of the previous recognition result. If abnormal, adjust the previous recognition result to the opposite recognition result; The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the weight parameters and time sequence of the recognition results.

2. The method for identifying the direction of entry and exit of an area according to claim 1, characterized in that: The calculating of the weight parameters of the current recognition result and the previous recognition result according to the time difference includes: Calculate the weight parameter increment, where the weight parameter increment calculation formula is: △N i =[(T i -T i-1 ) / 2k], where T i is the acquisition time of the current recognition result, T i-1 is the acquisition time of the last recognition result, k is the time step, △N i Equal to (T i -T i-1 ) / 2k; The weight parameters of the current recognition result and the previous recognition result are respectively increased by the weight parameter increment △N i The updated recognition result weight parameters are obtained by adding them together, wherein the initial weight parameter of each recognition result is 1.

3. The method for identifying the direction of entry and exit of an area according to claim 1, characterized in that: The determining whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and two adjacent recognition results and the weight parameter of the previous recognition result includes: Determine whether the corresponding status of the previous recognition result is consistent with the corresponding status of the two adjacent recognition results; If the corresponding states of the previous recognition result and the two adjacent recognition results are inconsistent, the weight parameters of the two adjacent recognition results are added to obtain the sum of adjacent weights, and the weight parameter of the previous recognition result is compared with the sum of adjacent weights; If the weight parameter of the previous recognition result is less than the sum of adjacent weights, the previous recognition result is judged to be abnormal.

4. The method for identifying the direction of entry and exit of an area according to claim 1, characterized in that: Determining the entry and exit directions of personnel or materials at the entrance and exit of an area according to the weight parameters and time sequence of the recognition results includes: The weight parameters of the recognition results that are adjacent in time and in the same state are added together to obtain a total state weight parameter; wherein the total state weight parameter includes a total state weight parameter within the region and a total state weight parameter outside the region; The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the time sequence of the appearance of the total state weight parameter within the area and the total state weight parameter outside the area.

5. The method for identifying the direction of entry and exit of an area according to claim 4, characterized in that: The method further comprises: The entry and exit time of personnel or materials at the entrance and exit of the area is determined according to the jump time of the total state weight parameter within the area and the total state weight parameter outside the area.

6. The method for identifying an area entry and exit direction according to any one of claims 1 to 5, characterized in that: The medical site includes multiple areas, each area includes an area entrance and exit, and the method further includes: Determine the route trajectory of personnel or materials in medical facilities based on the entry and exit directions and time of each area's entrances and exits.

7. A system for identifying the direction of entry and exit of a medical facility, characterized in that: include: Passive positioning tags are suitable for wearing on personnel or materials that need to be located; An antenna module, which wirelessly communicates with the passive positioning tag; wherein the antenna module is arranged at the entrance and exit of the area, and includes a first antenna for radiating within the area and a second antenna for radiating outside the area; an identification processor, communicatively connected to the antenna module, configured to receive an identification result of the passive positioning tag acquired by the antenna module and record a reception time; wherein the first antenna identifies that the identification result of the passive positioning tag corresponds to a state of being within the area, and the second antenna identifies that the identification result of the passive positioning tag corresponds to a state of being outside the area; The recognition processor is further configured to: Constructing a state recognition sequence according to the time sequence of the recognition results; Calculating the time difference between the current recognition result and the previous recognition result, and calculating the weight parameters of the current recognition result and the previous recognition result based on the time difference; If there are recognition results before and after the previous recognition result, determine whether the previous recognition result is abnormal based on the consistency relationship between the previous recognition result and the two adjacent recognition results and the weight parameter of the previous recognition result. If abnormal, adjust the previous recognition result to the opposite recognition result; The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the weight parameters and time sequence of the recognition results.

8. The area entry and exit direction recognition system according to claim 7, characterized in that: The recognition processor is further configured to: Calculate the weight parameter increment, where the weight parameter increment calculation formula is: △N i =[(T i -T i-1 ) / 2k], where T i is the acquisition time of the current recognition result, T i-1 is the acquisition time of the last recognition result, k is the time step, △N i Equal to (T i -T i-1 ) / 2k; The weight parameters of the current recognition result and the previous recognition result are respectively increased by the weight parameter increment △N i The updated recognition result weight parameters are obtained by adding them together, wherein the initial weight parameter of each recognition result is 1.

9. The area entry and exit direction recognition system according to claim 7, characterized in that: The recognition processor is further configured to: Determine whether the corresponding status of the previous recognition result is consistent with the corresponding status of the two adjacent recognition results; If the corresponding states of the previous recognition result and the two adjacent recognition results are inconsistent, the weight parameters of the two adjacent recognition results are added to obtain the sum of adjacent weights, and the weight parameter of the previous recognition result is compared with the sum of adjacent weights; If the weight parameter of the previous recognition result is less than the sum of adjacent weights, the previous recognition result is judged to be abnormal.

10. The area entry and exit direction recognition system according to claim 7, characterized in that: The recognition processor is further configured to: The weight parameters of the recognition results that are adjacent in time and in the same state are added together to obtain a total state weight parameter; wherein the total state weight parameter includes a total state weight parameter within the region and a total state weight parameter outside the region; The entry and exit directions of personnel or materials at the entrance and exit of the area are determined according to the time sequence of the appearance of the total state weight parameter within the area and the total state weight parameter outside the area.

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