Function test system for X-ray equipment

Abstract

The invention discloses a function test system for X-ray equipment, which belongs to the technical field of medical equipment test and is mounted on the X-ray equipment. Comprising a data acquisition unit, a data storage unit, a data processing and analysis unit, a parameter analysis unit, a similarity analysis unit, a risk assessment module, a signal sending management unit, a patient detection statistical unit, an X-ray detection grading unit, a patient transfer reason auditing unit and a hospital detection mutual recognition unit. When a patient is transferred, the information of the transferred patient is audited through the patient transfer auditing unit, and if the patient meets the X-ray detection standard again, the patient needs to be subjected to X-ray detection again; otherwise, the X-ray detection does not need to be repeated. The problem of low mutual recognition degree of cross-hospital detection results caused by different equipment, different detection parameters and the like among different hospitals is solved, the medical cost of patients is reduced, and the waste of medical resources is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment testing, and in particular to a functional testing system for X-ray equipment. Background Art

[0002] X-ray equipment is a type of medical imaging equipment used to obtain images of internal organs and anatomical structures of the human body, helping doctors to diagnose and treat patients' conditions based on medical images.

[0003] X-ray equipment needs to be tested regularly to ensure the accuracy of detection. The following key parameters need to be tested:

[0004] X-ray Intensity: Measures the intensity of the X-ray beam to ensure it is within the allowed range.

[0005] Exposure Time: Record and verify the accuracy of exposure time.

[0006] Focus size: Check the focus size of the X-ray tube to ensure imaging quality.

[0007] Spatial resolution: Assessing the clarity and detail resolution of a device's imaging capabilities.

[0008] Contrast: Measures the contrast of an image to ensure that different tissues or materials can be clearly distinguished in the image.

[0009] Radiation dose: Record the radiation dose to which patients or operators are exposed to ensure it is within a safe range.

[0010] However, the current functional testing methods still have the following problems:

[0011] 1) Functional testing is generally a periodic test of a single machine, which makes it difficult to share data and conduct real-time emergency response after damage is detected.

[0012] 2) Due to different equipment and test parameters between different hospitals, the mutual recognition of test results across hospitals is low, and generally re-examination is required. Most of the time, the test results are the same. This increases the medical costs of patients and wastes medical resources to a certain extent.

[0013] Based on this, the present invention designs a functional testing system for X-ray equipment to solve the above problems. Summary of the invention

[0014] In view of the above-mentioned shortcomings of the prior art, the present invention provides a functional testing system for X-ray equipment.

[0015] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0016] A functional test system for X-ray equipment, installed on the X-ray equipment, includes a functional test system, a background management platform and a cloud server, wherein the functional test system, the background management platform and the hospital management platform are all connected to the cloud server; the functional test system includes:

[0017] A data acquisition unit, used to collect each parameter information of the X-ray device, and each parameter information is transmitted to the data storage unit and the data processing and analysis unit after adding time information;

[0018] The data processing and analysis unit includes a processor and a parameter analysis unit, a similarity analysis unit, a risk assessment module and a number issuance management unit connected to the processor; the processor is connected to the hospital management platform;

[0019] The parameter analysis unit is used to compare each parameter information collected with the preset parameter information to determine whether each parameter is abnormal. If the parameter information is the same as the preset parameter information, the parameter is normal, otherwise the parameter is abnormal. When the parameter is abnormal, the X-ray device calibrates the corresponding abnormal parameter;

[0020] A similarity analysis unit is used to receive the X-ray image of each patient output by the X-ray device, and perform similarity analysis on the X-ray image and the X-ray image stored in the cloud server to determine whether there is an X-ray image with a similarity exceeding a%. If so, the processor marks the patient corresponding to the X-ray image, adds a key review mark, and uploads it to the cloud server; otherwise, no marking is performed and the image is uploaded to the cloud server;

[0021] The risk assessment module is used to count the number of abnormalities n of each parameter within T time, calculate the total number of abnormalities of the parameter as ∑n, and determine that n≥N1 or ∑n≥N2 means that the X-ray equipment has a failure risk;

[0022] The numbering management unit is connected to the hospital management platform and is used to stop issuing numbers to X-ray equipment with a risk of failure when the risk assessment module determines that the X-ray equipment has a risk of failure; and at the same time, select the X-ray equipment with the smallest number of issued numbers to continue issuing numbers;

[0023] The backend management platform includes a patient test statistics unit, an X-ray test classification unit, a patient transfer reason review unit, and a hospital test mutual recognition unit;

[0024] Patient test statistics unit, used to count the number of X-ray tests K performed on patients in the same department and with the same cause of disease;

[0025] An X-ray detection grading unit, used for grading the X-ray image output by the X-ray detection device into a primary X-ray image or a secondary X-ray image;

[0026] The patient transfer review unit is used to review the information of the transferred patient and determine whether the patient meets the re-X-ray detection standard after being transferred from hospital A to hospital B; if the patient meets the re-X-ray detection standard, the patient transfer review unit outputs the request for re-testing results; if the patient does not meet the re-X-ray detection standard, the patient transfer review unit outputs the request for mutual recognition results to the hospital detection mutual recognition unit;

[0027] The hospital test mutual recognition unit is used to add authentication marks to the patient's X-ray images tested in other hospitals after receiving the mutual recognition request results, and upload them to the cloud server. Doctors can directly obtain the patient's X-ray images with authentication marks through the hospital management platform.

[0028] Furthermore, the parameters are specifically: X-ray intensity, exposure time, focal spot size, spatial resolution, contrast and radiation dose.

[0029] Furthermore, the X-ray image records the patient information, X-ray equipment information, each parameter information, and detection time information.

[0030] Furthermore, a takes the value 98.

[0031] Furthermore, N1<N2, the processor is connected to the maintenance management end, and the processor transmits the warning information to the maintenance management end.

[0032] Furthermore, it also includes a data visualization module, which is connected to the data processing and analysis unit and is used to visualize the parameter information collected each time, the preset parameter information, and the failure risk information of the X-ray equipment.

[0033] Furthermore, the X-ray detection grading unit sets a standard range for each parameter information of the X-ray detection equipment; if each parameter information of the X-ray equipment recorded on the X-ray image is within the standard range, it belongs to the first-level X-ray image, otherwise it belongs to the second-level X-ray image.

[0034] Furthermore, when the risk assessment module determines that the X-ray equipment has a risk of failure, the numbering management unit transmits the failure risk information to the hospital management platform, and the hospital management platform stops issuing numbers to the X-ray equipment with a risk of failure; at the same time, the normal X-ray equipment in the current department retrieves the number of numbers it has issued from the hospital management platform, and the hospital management platform selects the X-ray equipment with the smallest number of numbers issued to continue issuing numbers.

[0035] Furthermore, the medical insurance management platforms are connected to the cloud server; the medical insurance management platforms receive the patient's key review mark information through the cloud server.

[0036] Furthermore, if the patient falls into one of the following situations, then they meet the criteria for another X-ray examination:

[0037] A, K = 0, indicating that the patient's reason for transfer is to seek medical treatment for other types of diseases;

[0038] B. K ≥ 1, the time between the last X-ray examination and the current transfer time exceeds L days; the timeliness of the last X-ray diagnosis result has been lost;

[0039] C, K ≥ 1, the patient's condition has changed significantly, and the X-ray test results are obviously inconsistent with the patient's clinical manifestations and disease diagnosis;

[0040] D. Situations involving mandatory regulations requiring re-X-ray testing;

[0041] E, K ≥ 1, all W X-ray images of the patient detected in other hospitals were identified as level 2 X-ray images by the X-ray detection grading unit.

[0042] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention can preset mutual recognition standards. When a patient is transferred to another hospital, the patient transfer review unit reviews the information of the transferred patient to determine whether the patient meets the re-X-ray detection standards after being transferred from Hospital A to Hospital B. If the re-X-ray detection standards are met, the patient needs to undergo another X-ray detection; otherwise, the patient does not need to repeat the X-ray detection in this transfer, and the doctor can directly obtain the patient's X-ray image with a certification mark through the hospital management platform. This solves the problem of low mutual recognition of cross-hospital test results due to different equipment and different test parameters between different hospitals, reduces the patient's medical costs, and reduces the waste of medical resources.

[0043] 2. The present invention can automatically perform functional tests on X-ray detection equipment regularly. When parameters are abnormal, the X-ray equipment calibrates the corresponding abnormal parameters. The present invention can realize data sharing to the cloud server, and after the patient is tested, the X-ray image is analyzed for similarity with the X-ray image stored in the cloud server to determine whether there are X-ray images with a similarity of more than 98%. If so, the processor marks the patient corresponding to the X-ray image, adds a key review mark, and uploads it to the cloud server. The medical insurance management platform receives the patient's key review mark information through the cloud server. When the patient settles medical insurance, for patients with key review marks, the patient can be required to add self-certification materials to strengthen information verification and reduce insurance fraud.

[0044] 3. The present invention uses a risk assessment module to count the number of abnormalities n of each parameter within T (e.g., 48 hours), calculates the total number of abnormalities of the parameter as ∑n, and determines that n≥N1 (e.g., 2 times) or ∑n≥N2 (e.g., 3 times) means that the X-ray equipment has a risk of failure, N1<N2, and the processor transmits the warning information to the maintenance management end to facilitate timely maintenance of the X-ray equipment with a risk of failure. At the same time, when the risk assessment module determines that the X-ray equipment has a risk of failure, the hospital management platform stops issuing numbers to the X-ray equipment with a risk of failure, and the hospital management platform selects the X-ray equipment with the smallest number of issued numbers to continue issuing numbers, ensuring the balance of issuing numbers and the efficiency of patients' medical treatment, and realizing real-time emergency treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] 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.

[0046] Figure 1 A structural block diagram of a functional test system for X-ray equipment according to the present invention;

[0047] Figure 2 The present invention is a structural block diagram of a data processing and analysis unit in a functional test system for X-ray equipment. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. 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.

[0049] Embodiment 1: In some embodiments, please refer to the drawings of the specification Figure 1-Figure 2 , a functional test system for X-ray equipment, installed on the X-ray equipment, including a functional test system, a background management platform and a cloud server, the functional test system, the background management platform, and the hospital management platform are all connected to the cloud server; the functional test system includes:

[0050] The data acquisition unit is used to collect each parameter information of the X-ray device, including X-ray intensity, exposure time, focal spot size, spatial resolution, contrast, and radiation dose information. Each parameter information is added with time information and then transmitted to the data storage unit and the data processing and analysis unit;

[0051] A data storage unit, used to store each parameter information collected each time and the corresponding time information;

[0052] The data processing and analysis unit includes a processor and a parameter analysis unit, a similarity analysis unit, a risk assessment module and a number issuance management unit connected to the processor; the processor is connected to a hospital management platform of the prior art;

[0053] The parameter analysis unit is used to compare each parameter information collected with the preset parameter information to determine whether each parameter is abnormal. If the parameter information is the same as the preset parameter information, the parameter is normal, otherwise the parameter is abnormal. When the parameter is abnormal, the X-ray device calibrates the corresponding abnormal parameter;

[0054] The similarity analysis unit is used to receive the X-ray image of each patient output by the X-ray device (the X-ray image records the patient information, X-ray device information, each parameter information, detection time and other information), and perform similarity analysis between the X-ray image and the X-ray image stored in the cloud server to determine whether there is an X-ray image with a similarity exceeding 98%. If so, the processor marks the patient corresponding to the X-ray image, adds a key review mark, and uploads it to the cloud server; otherwise, no marking is performed and the image is uploaded to the cloud server;

[0055] The risk assessment module is used to count the number of abnormalities n of each parameter within T (e.g. 48 hours), calculate the total number of abnormalities of the parameter as ∑n, and determine that n≥N1 (e.g. 2 times) or ∑n≥N2 (e.g. 3 times) means that the X-ray equipment has a risk of failure, N1<N2, and the processor is connected to the maintenance management end, and the processor transmits the warning information to the maintenance management end;

[0056] The numbering management unit is connected to the hospital management platform of the prior art, and is used to transmit the fault risk information to the hospital management platform when the risk assessment module determines that the X-ray equipment has a fault risk, and the hospital management platform stops issuing numbers to the X-ray equipment with a fault risk; at the same time, the normal X-ray equipment in the current department respectively retrieves the number of issued numbers from the hospital management platform, and the hospital management platform selects the X-ray equipment with the smallest number of issued numbers to continue issuing numbers;

[0057] For example, if the X-ray equipment in machine room 1 is currently damaged, the number issuance to machine room 1 will be stopped; at this time, 5 X-ray equipment numbers have been issued in machine room 2 (No. 201-205), 2 X-ray equipment numbers have been issued in machine room 3 (No. 301-302), and 3 X-ray equipment numbers have been issued in machine room 4 (No. 401-403). When subsequent patients take numbers, the X-ray equipment in machine room 3 will be selected to issue number 303.

[0058] A data visualization module is connected to the data processing and analysis unit and is used to visualize the parameter information collected each time, the preset parameter information, the fault risk information of the X-ray equipment, etc.;

[0059] The functional test systems on X-ray equipment in the same or different hospitals can upload data to the cloud server for sharing; preferably, in order to ensure the security of the data, the data encryption and decryption algorithms of the existing technology can be used to encrypt and decrypt the data;

[0060] The medical insurance management platform receives the patient's key review mark information through the cloud server. When settling medical insurance settlement, patients with key review marks can be required to provide additional self-certification materials to strengthen information verification and reduce insurance fraud.

[0061] The backend management platform includes a patient test statistics unit, an X-ray test classification unit, a patient transfer reason review unit, and a hospital test mutual recognition unit;

[0062] Patient test statistics unit, used to count the number of X-ray tests K (K≠0, indicating that the patient has undergone X-ray tests) performed by the patient in the same department and with the same cause of disease (can be different hospitals);

[0063] An X-ray detection grading unit, used to grade the X-ray images output by the X-ray detection equipment;

[0064] Specifically, a standard range is set for each parameter information of the X-ray detection equipment; if each parameter information of the X-ray equipment recorded on the X-ray image is within the standard range, it belongs to the first-level X-ray image, otherwise it belongs to the second-level X-ray image;

[0065] For example, the standard range for setting X-ray intensity is Q1-Q2, the standard range for setting exposure time is Q3-Q4, the standard range for setting focal spot size is Q5-Q6, the standard range for setting spatial resolution is Q7-Q8, the standard range for setting contrast is Q9-Q10, and the standard range for setting radiation dose is Q11-Q12;

[0066] The patient transfer review unit is used to review the information of the transferred patients and determine whether the patient meets the re-X-ray examination criteria after being transferred from Hospital A to Hospital B. If the patient falls into one of the following situations, the patient meets the re-X-ray examination criteria:

[0067] A, K = 0, indicating that the patient's reason for transfer is to seek medical treatment for other types of diseases;

[0068] B. K ≥ 1, the time between the last X-ray examination and the current transfer exceeds L days (e.g. 10 days); the timeliness of the last X-ray diagnosis result has been lost;

[0069] C, K ≥ 1, the patient's condition has changed significantly, and the X-ray test results are obviously inconsistent with the patient's clinical manifestations and disease diagnosis;

[0070] D. Situations involving judicial identification and other rigid regulations that require re-X-ray testing;

[0071] E, K≥1, the patient's W X-ray images detected in other hospitals were all identified as Class II X-ray images by the X-ray detection grading unit;

[0072] If part of the X-ray images of a patient detected in other hospitals are identified as Class II X-ray images by the X-ray Detection Grading Unit, and part of them are identified as Class I X-ray images, the Class I X-ray images can still be mutually recognized by the hospital detection mutual recognition unit;

[0073] When the X-ray re-examination standard is met, the patient transfer review unit outputs the request for re-examination result; when the X-ray re-examination standard is not met, the patient transfer review unit outputs the request for mutual recognition result to the hospital test mutual recognition unit;

[0074] The hospital test mutual recognition unit is used to add authentication marks to the patient's X-ray images tested in other hospitals and upload them to the cloud server after receiving the mutual recognition request results. Doctors can directly obtain the patient's X-ray images with authentication marks through the hospital management platform; the patient does not need to repeat the X-ray test during this transfer.

[0075] The present invention can preset mutual recognition standards. When a patient is transferred to another hospital, the patient transfer review unit reviews the information of the transferred patient to determine whether the patient meets the re-X-ray detection standards after being transferred from Hospital A to Hospital B. If the re-X-ray detection standards are met, the patient needs to undergo another X-ray detection; otherwise, the patient does not need to undergo repeated X-ray detection during this transfer, and the doctor can directly obtain the patient's X-ray image with a certification mark through the hospital management platform. This solves the problem of low mutual recognition of cross-hospital test results due to different equipment and different test parameters between different hospitals, reduces the patient's medical costs, and reduces the waste of medical resources.

[0076] The present invention can automatically and regularly perform functional tests on X-ray detection equipment. When parameters are abnormal, the X-ray equipment calibrates the corresponding abnormal parameters. The present invention can realize data sharing to a cloud server, and after detecting a patient, perform similarity analysis between the X-ray image and the X-ray image stored in the cloud server to determine whether there are X-ray images with a similarity of more than 98%. If so, the processor marks the patient corresponding to the X-ray image, adds a key review mark, and uploads it to the cloud server. The medical insurance management platform receives the patient's key review mark information through the cloud server. When settling medical insurance for the patient, for patients with key review marks, the patient can be required to add self-certification materials to strengthen information verification and reduce insurance fraud.

[0077] The present invention uses a risk assessment module to count the number of abnormalities n of each parameter within T (for example, 48 hours), calculates the total number of abnormalities of the parameter as ∑n, and determines that n≥N1 (for example, 2 times) or ∑n≥N2 (for example, 3 times) are both X-ray equipment with failure risks, N1<N2, and the processor transmits the warning information to the maintenance management end, so as to facilitate timely maintenance of the X-ray equipment with failure risks. At the same time, when the risk assessment module determines that the X-ray equipment has a failure risk, the hospital management platform stops issuing numbers for the X-ray equipment with a failure risk, and the hospital management platform selects the X-ray equipment with the smallest number of issued numbers to continue issuing numbers, thereby ensuring the balance of issuing numbers and the efficiency of patients' medical treatment, and realizing real-time emergency treatment.

[0078] Embodiment 2: In some embodiments, as a preferred embodiment of the present invention, an X-ray detection method based on a functional test system of an X-ray device can realize X-ray detection, sharing, mutual recognition and early warning, and specifically includes the following steps:

[0079] Step 1: The data acquisition unit collects each parameter information of the X-ray device, including X-ray intensity, exposure time, focal spot size, spatial resolution, contrast, and radiation dose information, and transmits each parameter information plus time information to the parameter analysis unit; the data storage unit stores each parameter information collected each time and the corresponding time information;

[0080] Step 2: The parameter analysis unit compares each parameter information collected with the preset parameter information to determine whether each parameter is abnormal. If the parameter information is the same as the preset parameter information, the parameter is normal, otherwise the parameter is abnormal. When the parameter is abnormal, the X-ray device calibrates the corresponding abnormal parameter.

[0081] Step 3: The similarity analysis unit receives the X-ray image of each patient output by the X-ray equipment (the X-ray image records the patient information, X-ray equipment information, each parameter information, detection time and other information), and performs similarity analysis on the X-ray image with the X-ray image stored in the cloud server to determine whether there are X-ray images with a similarity of more than 98%. If so, the processor marks the patient corresponding to the X-ray image, adds a key review mark, and uploads it to the cloud server; otherwise, it does not mark and uploads it to the cloud server; the medical insurance management platform receives the patient's key review mark information through the cloud server. When the patient settles the medical insurance, for patients with key review marks, the patient can be required to add self-certification materials to strengthen the information verification and reduce insurance fraud.

[0082] Step 4: The risk assessment module counts the number of abnormalities n of each parameter within T (e.g., 48 hours), calculates the total number of abnormalities of the parameter as ∑n, and determines that n≥N1 (e.g., 2 times) or ∑n≥N2 (e.g., 3 times) means that the X-ray equipment has a risk of failure, N1<N2, and the processor transmits the warning information to the maintenance management end;

[0083] At the same time, when the risk assessment module determines that the X-ray equipment has a risk of failure, the numbering management unit transmits the failure risk information to the hospital management platform, and the hospital management platform stops issuing numbers to the X-ray equipment with a risk of failure; at the same time, the normal X-ray equipment in the current department retrieves the number of issued numbers from the hospital management platform, and the hospital management platform selects the X-ray equipment with the smallest number of issued numbers to continue issuing numbers;

[0084] For example, if the X-ray equipment in machine room 1 is currently damaged, the number issuance to machine room 1 will be stopped; at this time, 5 X-ray equipment numbers have been issued in machine room 2 (No. 201-205), 2 X-ray equipment numbers have been issued in machine room 3 (No. 301-302), and 3 X-ray equipment numbers have been issued in machine room 4 (No. 401-403). When subsequent patients take numbers, the X-ray equipment in machine room 3 will be selected to issue number 303.

[0085] Step 5: The patient detection statistics unit counts the number of X-ray detections K (K≠0, indicating that the patient has undergone X-ray detection) that the patient has undergone in the same department and for the same cause of disease (which can be different hospitals); the X-ray detection grading unit grades the X-ray images output by the X-ray detection equipment. Specifically, a standard range is set for each parameter information of the X-ray detection equipment. If each parameter information of the X-ray equipment recorded on the X-ray image is within the standard range, it belongs to the first-level X-ray image, otherwise it belongs to the second-level X-ray image;

[0086] Step 6: When the patient is transferred to another hospital, the patient transfer review unit reviews the information of the transferred patient to determine whether the patient meets the re-X-ray examination criteria after being transferred from Hospital A to Hospital B. If the patient falls into one of the following situations, the patient meets the re-X-ray examination criteria:

[0087] A, K = 0, indicating that the patient's reason for transfer is to seek medical treatment for other types of diseases;

[0088] B. K ≥ 1, the time between the last X-ray examination and the current transfer exceeds L days (e.g. 10 days); the timeliness of the last X-ray diagnosis result has been lost;

[0089] C, K ≥ 1, the patient's condition has changed significantly, and the X-ray test results are obviously inconsistent with the patient's clinical manifestations and disease diagnosis;

[0090] D. Situations involving judicial identification and other rigid regulations that require re-X-ray testing;

[0091] E, K≥1, the patient's W X-ray images detected in other hospitals were all identified as Class II X-ray images by the X-ray detection grading unit;

[0092] If part of the X-ray images of a patient detected in other hospitals are identified as Class II X-ray images by the X-ray Detection Grading Unit, and part of them are identified as Class I X-ray images, the Class I X-ray images can still be mutually recognized by the hospital detection mutual recognition unit;

[0093] When the X-ray re-examination standard is met, the patient transfer review unit outputs the request for re-examination result; when the X-ray re-examination standard is not met, the patient transfer review unit outputs the request for mutual recognition result to the hospital test mutual recognition unit;

[0094] Step 7: After receiving the mutual recognition request result, the hospital test mutual recognition unit adds a certification mark to the patient's X-ray images tested in other hospitals and uploads them to the cloud server. Doctors can directly obtain the patient's X-ray images with certification marks through the hospital management platform; the patient does not need to repeat the X-ray test during this transfer.

[0095] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A functional test system for an X-ray device, installed on the X-ray device, characterized in that: It includes a functional testing system, a backend management platform and a cloud server. The functional testing system, the backend management platform and the hospital management platform are all connected to the cloud server. The functional testing system includes: A data acquisition unit, used to collect each parameter information of the X-ray device, and each parameter information is transmitted to the data storage unit and the data processing and analysis unit after adding time information; The data processing and analysis unit includes a processor and a parameter analysis unit, a similarity analysis unit, a risk assessment module and a number issuance management unit connected to the processor; the processor is connected to the hospital management platform; The parameter analysis unit is used to compare each parameter information collected with the preset parameter information to determine whether each parameter is abnormal. If the parameter information is the same as the preset parameter information, the parameter is normal, otherwise the parameter is abnormal. When the parameter is abnormal, the X-ray device calibrates the corresponding abnormal parameter; A similarity analysis unit is used to receive the X-ray image of each patient output by the X-ray device, and perform similarity analysis on the X-ray image and the X-ray image stored in the cloud server to determine whether there is an X-ray image with a similarity exceeding a%. If so, the processor marks the patient corresponding to the X-ray image, adds a key review mark, and uploads it to the cloud server; otherwise, no marking is performed and the image is uploaded to the cloud server; The risk assessment module is used to count the number of abnormalities n of each parameter within T time, calculate the total number of abnormalities of the parameter as ∑n, and determine that n≥N1 or ∑n≥N2 means that the X-ray equipment has a failure risk; The numbering management unit is connected to the hospital management platform and is used to stop issuing numbers to X-ray equipment with a risk of failure when the risk assessment module determines that the X-ray equipment has a risk of failure; and at the same time, select the X-ray equipment with the smallest number of issued numbers to continue issuing numbers; The backend management platform includes a patient test statistics unit, an X-ray test grading unit, a patient transfer reason review unit, and a hospital test mutual recognition unit; Patient test statistics unit, used to count the number of X-ray tests K performed on patients in the same department and with the same cause of disease; An X-ray detection grading unit, used for grading the X-ray image output by the X-ray detection device into a primary X-ray image or a secondary X-ray image; The patient transfer review unit is used to review the information of the transferred patient and determine whether the patient meets the re-X-ray detection standard after being transferred from hospital A to hospital B; if the patient meets the re-X-ray detection standard, the patient transfer review unit outputs the request for re-testing results; if the patient does not meet the re-X-ray detection standard, the patient transfer review unit outputs the request for mutual recognition results to the hospital detection mutual recognition unit; The hospital test mutual recognition unit is used to add authentication marks to the patient's X-ray images tested in other hospitals after receiving the mutual recognition request results, and upload them to the cloud server. Doctors can directly obtain the patient's X-ray images with authentication marks through the hospital management platform.

2. The functional testing system for X-ray equipment according to claim 1, characterized in that: The parameters are: X-ray intensity, exposure time, focal spot size, spatial resolution, contrast and radiation dose.

3. The functional testing system for X-ray equipment according to claim 2, characterized in that: The X-ray image records the patient information, X-ray equipment information, each parameter information, and detection time information.

4. The functional testing system for X-ray equipment according to claim 3, characterized in that: The value of a is 98.

5. The functional testing system for X-ray equipment according to claim 4, characterized in that: N1<N2, the processor is connected to the maintenance management end, and the processor transmits the warning information to the maintenance management end.

6. The functional testing system for X-ray equipment according to claim 5, characterized in that: It also includes a data visualization module, which is connected to the data processing and analysis unit and is used to visualize the parameter information collected each time, the preset parameter information, and the failure risk information of the X-ray equipment.

7. The functional testing system for X-ray equipment according to claim 6, characterized in that: The X-ray detection grading unit sets a standard range for each parameter information of the X-ray detection equipment; if each parameter information of the X-ray equipment recorded on the X-ray image is within the standard range, it belongs to the first-level X-ray image, otherwise it belongs to the second-level X-ray image.

8. The functional testing system for X-ray equipment according to claim 7, characterized in that: When the risk assessment module determines that the X-ray equipment has a risk of failure, the numbering management unit transmits the failure risk information to the hospital management platform, and the hospital management platform stops issuing numbers to the X-ray equipment with a risk of failure; at the same time, the normal X-ray equipment in the current department retrieves the number of numbers it has issued from the hospital management platform, and the hospital management platform selects the X-ray equipment with the smallest number of numbers issued to continue issuing numbers.

9. The functional testing system for X-ray equipment according to claim 8, characterized in that: The medical insurance management platforms are all connected to the cloud server; the medical insurance management platforms receive the patient's key review mark information through the cloud server.

10. The functional testing system for X-ray equipment according to claim 9, characterized in that: Patients meet the criteria for re-X-ray examination if they fall into any of the following categories: A, K = 0, indicating that the patient's reason for transfer is to seek medical treatment for other types of diseases; B. K ≥ 1, the time between the last X-ray examination and the current transfer time exceeds L days; the timeliness of the last X-ray diagnosis result has been lost; C, K ≥ 1, the patient's condition has changed significantly, and the X-ray test results are obviously inconsistent with the patient's clinical manifestations and disease diagnosis; D. Situations involving mandatory regulations requiring re-X-ray testing; E, K ≥ 1, all W X-ray images of the patient detected in other hospitals were identified as level 2 X-ray images by the X-ray detection grading unit.

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